diff --git a/docs/_includes/docs-annotation-pagination.html b/docs/_includes/docs-annotation-pagination.html
index 83caee0265b942..6c8b420978a906 100644
--- a/docs/_includes/docs-annotation-pagination.html
+++ b/docs/_includes/docs-annotation-pagination.html
@@ -10,6 +10,7 @@
   </li>
 </ul>
 <ul class="pagination owl-carousel pagination_big">
+  <li><a href="release_notes_4_5_0">4.5.0</a></li>
   <li><a href="release_notes_4_4_1">4.4.1</a></li>
   <li><a href="release_notes_4_4_0">4.4.0</a></li>
   <li><a href="release_notes_4_3_0">4.3.0</a></li>
diff --git a/docs/_includes/input_output_image.html b/docs/_includes/input_output_image.html
new file mode 100644
index 00000000000000..39c6b9109dace3
--- /dev/null
+++ b/docs/_includes/input_output_image.html
@@ -0,0 +1,9 @@
+
+<div class="input_output_wrapper">
+  <div class="input_output_inner">
+    <div class="input_output_title">Input image</div>
+    <figure class="shadow"><img src="{{include.input_image}}" alt=""></figure></div>
+  <div class="input_output_inner">
+    <div class="input_output_title">Output image</div>
+    <figure class="shadow"><img src="{{include.output_image}}" alt=""></figure></div>
+</div>
\ No newline at end of file
diff --git a/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_judgement_en.md b/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_judgement_en.md
index e88cc77609d910..e36804d2c54903 100644
--- a/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_judgement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_judgement_en.md
@@ -166,22 +166,21 @@ Training data is available [here](https://github.com/Legal-NLP-EkStep/legal_NER#
 ## Benchmarking
 
 ```bash
-| label        | precision | recall | f1-score | support |
-|--------------|-----------|--------|----------|---------|
-| CASE_NUMBER  | 0.83      | 0.80   | 0.82     | 112     |
-| COURT        | 0.92      | 0.94   | 0.93     | 140     |
-| DATE         | 0.97      | 0.97   | 0.97     | 204     |
-| GPE          | 0.81      | 0.75   | 0.78     | 95      |
-| JUDGE        | 0.84      | 0.86   | 0.85     | 57      |
-| ORG          | 0.75      | 0.76   | 0.76     | 131     |
-| OTHER_PERSON | 0.83      | 0.90   | 0.86     | 241     |
-| PETITIONER   | 0.76      | 0.61   | 0.68     | 36      |
-| PRECEDENT    | 0.84      | 0.84   | 0.84     | 127     |
-| PROVISION    | 0.90      | 0.94   | 0.92     | 220     |
-| RESPONDENT   | 0.64      | 0.70   | 0.67     | 23      |
-| STATUTE      | 0.92      | 0.96   | 0.94     | 157     |
-| WITNESS      | 0.93      | 0.78   | 0.85     | 87      |
-| micro-avg    | 0.87      | 0.87   | 0.87     | 1630    |
-| macro-avg    | 0.84      | 0.83   | 0.83     | 1630    |
-| weighted-avg | 0.87      | 0.87   | 0.87     | 1630    |
+label         precision  recall  f1-score  support 
+CASE_NUMBER   0.83       0.80    0.82      112     
+COURT         0.92       0.94    0.93      140     
+DATE          0.97       0.97    0.97      204     
+GPE           0.81       0.75    0.78      95      
+JUDGE         0.84       0.86    0.85      57      
+ORG           0.75       0.76    0.76      131     
+OTHER_PERSON  0.83       0.90    0.86      241     
+PETITIONER    0.76       0.61    0.68      36      
+PRECEDENT     0.84       0.84    0.84      127     
+PROVISION     0.90       0.94    0.92      220     
+RESPONDENT    0.64       0.70    0.67      23      
+STATUTE       0.92       0.96    0.94      157     
+WITNESS       0.93       0.78    0.85      87      
+micro-avg     0.87       0.87    0.87      1630    
+macro-avg     0.84       0.83    0.83      1630    
+weighted-avg  0.87       0.87    0.87      1630
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_preamble_en.md b/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_preamble_en.md
index c0c61da46c8807..5881d0fbee3bb0 100644
--- a/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_preamble_en.md
+++ b/docs/_posts/bunyamin-polat/2022-10-25-legner_indian_court_preamble_en.md
@@ -219,14 +219,13 @@ Training data is available [here](https://github.com/Legal-NLP-EkStep/legal_NER#
 ## Benchmarking
 
 ```bash
-| label        | precision | recall | f1-score | support |
-|--------------|-----------|--------|----------|---------|
-| COURT        | 0.92      | 0.91   | 0.91     | 109     |
-| JUDGE        | 0.96      | 0.92   | 0.94     | 168     |
-| LAWYER       | 0.94      | 0.93   | 0.94     | 377     |
-| PETITIONER   | 0.76      | 0.77   | 0.76     | 269     |
-| RESPONDENT   | 0.78      | 0.80   | 0.79     | 356     |
-| micro-avg    | 0.86      | 0.86   | 0.86     | 1279    |
-| macro-avg    | 0.87      | 0.86   | 0.87     | 1279    |
-| weighted-avg | 0.86      | 0.86   | 0.86     | 1279    |
+label         precision  recall  f1-score  support 
+COURT         0.92       0.91    0.91      109     
+JUDGE         0.96       0.92    0.94      168     
+LAWYER        0.94       0.93    0.94      377     
+PETITIONER    0.76       0.77    0.76      269     
+RESPONDENT    0.78       0.80    0.79      356     
+micro-avg     0.86       0.86    0.86      1279    
+macro-avg     0.87       0.86    0.87      1279    
+weighted-avg  0.86       0.86    0.86      1279
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-10-27-legclf_bert_swiss_judgements_de.md b/docs/_posts/bunyamin-polat/2022-10-27-legclf_bert_swiss_judgements_de.md
index 788f29236de6fc..28c40bc996f6cc 100644
--- a/docs/_posts/bunyamin-polat/2022-10-27-legclf_bert_swiss_judgements_de.md
+++ b/docs/_posts/bunyamin-polat/2022-10-27-legclf_bert_swiss_judgements_de.md
@@ -97,15 +97,14 @@ Training data is available [here](https://zenodo.org/record/7109926#.Y1gJwexBw8E
 ## Benchmarking
 
 ```bash
-| label         | precision | recall | f1-score | support |
-|---------------|-----------|--------|----------|---------|
-| civil-law     | 0.93      | 0.96   | 0.94     | 809     |
-| insurance-law | 0.92      | 0.94   | 0.93     | 357     |
-| other         | 0.76      | 0.70   | 0.73     | 23      |
-| penal-law     | 0.97      | 0.95   | 0.96     | 913     |
-| public-law    | 0.94      | 0.94   | 0.94     | 1048    |
-| social-law    | 0.97      | 0.95   | 0.96     | 719     |
-| accuracy      |   -       |   -    | 0.95     | 3869    |
-| macro-avg     | 0.92      | 0.91   | 0.91     | 3869    |
-| weighted-avg  | 0.95      | 0.95   | 0.95     | 3869    | 
+label          precision  recall  f1-score  support 
+civil-law      0.93       0.96    0.94      809     
+insurance-law  0.92       0.94    0.93      357     
+other          0.76       0.70    0.73      23      
+penal-law      0.97       0.95    0.96      913     
+public-law     0.94       0.94    0.94      1048    
+social-law     0.97       0.95    0.96      719     
+accuracy         -          -     0.95      3869    
+macro-avg      0.92       0.91    0.91      3869    
+weighted-avg   0.95       0.95    0.95      3869 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-02-legre_contract_doc_parties_md_en.md b/docs/_posts/bunyamin-polat/2022-11-02-legre_contract_doc_parties_md_en.md
index 7b90c19ff9addf..0c7ff295bae1eb 100644
--- a/docs/_posts/bunyamin-polat/2022-11-02-legre_contract_doc_parties_md_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-02-legre_contract_doc_parties_md_en.md
@@ -157,12 +157,11 @@ Manual annotations on CUAD dataset
 ## Benchmarking
 
 ```bash
-| Relation             | Recall | Precision | F1    | Support |
-|----------------------|--------|-----------|-------|---------|
-| dated_as             | 1.000  | 0.957     | 0.978 | 44      |
-| has_alias            | 0.950  | 0.974     | 0.962 | 40      |
-| has_collective_alias | 0.667  | 1.000     | 0.800 | 3       |
-| signed_by            | 0.957  | 0.989     | 0.972 | 92      |
-| Avg.                 | 0.913  | 0.977     | 0.938 | -       |
-| Weighted-Avg.        | 0.973  | 0.974     | 0.973 | -       |
+label                 Recall  Precision  F1     Support 
+dated_as              1.000   0.957      0.978  44      
+has_alias             0.950   0.974      0.962  40      
+has_collective_alias  0.667   1.000      0.800  3       
+signed_by             0.957   0.989      0.972  92      
+Avg.                  0.913   0.977      0.938  -       
+Weighted-Avg.         0.973   0.974      0.973  -  
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-03-legre_obligations_md_en.md b/docs/_posts/bunyamin-polat/2022-11-03-legre_obligations_md_en.md
index e338062cc3b7a9..ce32d36f0322ea 100644
--- a/docs/_posts/bunyamin-polat/2022-11-03-legre_obligations_md_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-03-legre_obligations_md_en.md
@@ -122,11 +122,10 @@ Manual annotations on CUAD dataset
 ## Benchmarking
 
 ```bash
-| Relation          | Recall | Precision | F1    | Support |
-|-------------------|--------|-----------|-------|---------|
-| is_obliged_object | 0.989  | 0.994     | 0.992 | 177     |
-| is_obliged_to     | 0.995  | 1.000     | 0.998 | 202     |
-| is_obliged_with   | 1.000  | 0.961     | 0.980 | 49      |
-| Avg.              | 0.996  | 0.989     | 0.992 | -       |
-| Weighted-Avg.     | 0.996  | 0.996     | 0.996 | -       |
+label              Recall  Precision  F1     Support 
+is_obliged_object  0.989   0.994      0.992  177     
+is_obliged_to      0.995   1.000      0.998  202     
+is_obliged_with    1.000   0.961      0.980  49      
+Avg.               0.996   0.989      0.992  -       
+Weighted-Avg.      0.996   0.996      0.996  -   
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_asset_purchase_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_asset_purchase_agreement_en.md
index cdef3d5190dd72..8fb8b067c13b6e 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_asset_purchase_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_asset_purchase_agreement_en.md
@@ -111,11 +111,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-| label                    | precision | recall | f1-score | support |
-|--------------------------|-----------|--------|----------|---------|
-| asset-purchase-agreement | 0.96      | 0.96   | 0.96     | 27      |
-| other                    | 0.99      | 0.99   | 0.99     | 85      |
-| accuracy                 | -         | -      | 0.98     | 112     |
-| macro-avg                | 0.98      | 0.98   | 0.98     | 112     |
-| weighted-avg             | 0.98      | 0.98   | 0.98     | 112     |
+label                     precision  recall  f1-score  support 
+asset-purchase-agreement  0.96       0.96    0.96      27      
+other                     0.99       0.99    0.99      85      
+accuracy                  -          -       0.98      112     
+macro-avg                 0.98       0.98    0.98      112     
+weighted-avg              0.98       0.98    0.98      112 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_distribution_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_distribution_agreement_en.md
index 128281734e8cb9..84b5051fc171f1 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_distribution_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_distribution_agreement_en.md
@@ -111,11 +111,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-| label                  | precision | recall | f1-score | support |
-|------------------------|-----------|--------|----------|---------|
-| distribution-agreement | 1.00      | 0.89   | 0.94     | 28      |
-| other                  | 0.97      | 1.00   | 0.98     | 85      |
-| accuracy               | -         | -      | 0.97     | 113     |
-| macro-avg              | 0.98      | 0.95   | 0.96     | 113     |
-| weighted-avg           | 0.97      | 0.97   | 0.97     | 113     |
+label                   precision  recall  f1-score  support 
+distribution-agreement  1.00       0.89    0.94      28      
+other                   0.97       1.00    0.98      85      
+accuracy                -          -       0.97      113     
+macro-avg               0.98       0.95    0.96      113     
+weighted-avg            0.97       0.97    0.97      113 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_executive_employment_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_executive_employment_agreement_en.md
index cb3213e686c6af..70930baf1f3df6 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_executive_employment_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_executive_employment_agreement_en.md
@@ -111,11 +111,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-| label                          | precision | recall | f1-score | support |
-|--------------------------------|-----------|--------|----------|---------|
-| executive-employment-agreement | 1.00      | 1.00   | 1.00     | 45      |
-| other                          | 1.00      | 1.00   | 1.00     | 85      |
-| accuracy                       | -         | -      | 1.00     | 130     |
-| macro-avg                      | 1.00      | 1.00   | 1.00     | 130     |
-| weighted-avg                   | 1.00      | 1.00   | 1.00     | 130     |
+label                           precision  recall  f1-score  support 
+executive-employment-agreement  1.00       1.00    1.00      45      
+other                           1.00       1.00    1.00      85      
+accuracy                        -          -       1.00      130     
+macro-avg                       1.00       1.00    1.00      130     
+weighted-avg                    1.00       1.00    1.00      130 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_indemnification_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_indemnification_agreement_en.md
index f2f2cd1eb44fee..e2eb634d0c801c 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_indemnification_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_indemnification_agreement_en.md
@@ -111,11 +111,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-| label                     | precision | recall | f1-score | support |
-|---------------------------|-----------|--------|----------|---------|
-| indemnification-agreement | 1.00      | 1.00   | 1.00     | 31      |
-| other                     | 1.00      | 1.00   | 1.00     | 85      |
-| accuracy                  | -         | -      | 1.00     | 116     |
-| macro-avg                 | 1.00      | 1.00   | 1.00     | 116     |
-| weighted-avg              | 1.00      | 1.00   | 1.00     | 116     |
+label                      precision  recall  f1-score  support 
+indemnification-agreement  1.00       1.00    1.00      31      
+other                      1.00       1.00    1.00      85      
+accuracy                   -          -       1.00      116     
+macro-avg                  1.00       1.00    1.00      116     
+weighted-avg               1.00       1.00    1.00      116 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_loan_and_security_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_loan_and_security_agreement_en.md
index 37c0ab55adfdcb..57ac82c89f8bd7 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_loan_and_security_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_loan_and_security_agreement_en.md
@@ -115,13 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-| label                       | precision | recall | f1-score | support |
-|-----------------------------|-----------|--------|----------|---------|
-| loan-and-security-agreement | 0.94      | 1.00   | 0.97     | 33      |
-| other                       | 1.00      | 0.98   | 0.99     | 85      |
-| accuracy                    | -         | -      | 0.98     | 118     |
-| macro-avg                   | 0.97      | 0.99   | 0.98     | 118     |
-| weighted-avg                | 0.98      | 0.98   | 0.98     | 118     |
-
+label                        precision  recall  f1-score  support 
+loan-and-security-agreement  0.94       1.00    0.97      33      
+other                        1.00       0.98    0.99      85      
+accuracy                     -          -       0.98      118     
+macro-avg                    0.97       0.99    0.98      118     
+weighted-avg                 0.98       0.98    0.98      118 
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_participation_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_participation_agreement_en.md
index 519b2071d5832b..db427879f91ff1 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_participation_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_participation_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-| label                   | precision | recall | f1-score | support |
-|-------------------------|-----------|--------|----------|---------|
-| other                   | 0.97      | 0.99   | 0.98     | 85      |
-| participation-agreement | 0.97      | 0.90   | 0.93     | 31      |
-| accuracy                | -         | -      | 0.97     | 116     |
-| macro-avg               | 0.97      | 0.95   | 0.96     | 116     |
-| weighted-avg            | 0.97      | 0.97   | 0.97     | 116     |
-
+label                    precision  recall  f1-score  support 
+other                    0.97       0.99    0.98      85      
+participation-agreement  0.97       0.90    0.93      31      
+accuracy                 -          -       0.97      116     
+macro-avg                0.97       0.95    0.96      116     
+weighted-avg             0.97       0.97    0.97      116
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_securities_purchase_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_securities_purchase_agreement_en.md
index 94c8c159357810..3d820b3ffe5bfc 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_securities_purchase_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_securities_purchase_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-| label                         | precision | recall | f1-score | support |
-|-------------------------------|-----------|--------|----------|---------|
-| other                         | 0.92      | 0.92   | 0.92     | 85      |
-| securities-purchase-agreement | 0.77      | 0.77   | 0.77     | 30      |
-| accuracy                      | -         | -      | 0.88     | 115     |
-| macro-avg                     | 0.84      | 0.84   | 0.84     | 115     |
-| weighted-avg                  | 0.88      | 0.88   | 0.88     | 115     |
-
+label                          precision  recall  f1-score  support 
+other                          0.92       0.92    0.92      85      
+securities-purchase-agreement  0.77       0.77    0.77      30      
+accuracy                       -          -       0.88      115     
+macro-avg                      0.84       0.84    0.84      115     
+weighted-avg                   0.88       0.88    0.88      115 
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_security_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_security_agreement_en.md
index 26867a161bb5d5..9cbd715cf386ed 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_security_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_security_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-| label              | precision | recall | f1-score | support |
-|--------------------|-----------|--------|----------|---------|
-| other              | 0.92      | 0.96   | 0.94     | 85      |
-| security-agreement | 0.92      | 0.82   | 0.87     | 40      |
-| accuracy           | -         | -      | 0.92     | 125     |
-| macro-avg          | 0.92      | 0.89   | 0.91     | 125     |
-| weighted-avg       | 0.92      | 0.92   | 0.92     | 125     |
-
+label               precision  recall  f1-score  support 
+other               0.92       0.96    0.94      85      
+security-agreement  0.92       0.82    0.87      40      
+accuracy            -          -       0.92      125     
+macro-avg           0.92       0.89    0.91      125     
+weighted-avg        0.92       0.92    0.92      125  
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_stock_purchase_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_stock_purchase_agreement_en.md
index 545c65b2f356cf..f9859b213eec1b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_stock_purchase_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_stock_purchase_agreement_en.md
@@ -116,13 +116,12 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-| label                    | precision | recall | f1-score | support |
-|--------------------------|-----------|--------|----------|---------|
-| other                    | 0.87      | 0.91   | 0.89     | 43      |
-| stock-purchase-agreement | 0.88      | 0.83   | 0.85     | 35      |
-| accuracy                 | -         | -      | 0.87     | 78      |
-| macro-avg                | 0.87      | 0.87   | 0.87     | 78      |
-| weighted-avg             | 0.87      | 0.87   | 0.87     | 78      |
+label                     precision  recall  f1-score  support 
+other                     0.87       0.91    0.89      43      
+stock-purchase-agreement  0.88       0.83    0.85      35      
+accuracy                  -          -       0.87      78      
+macro-avg                 0.87       0.87    0.87      78      
+weighted-avg              0.87       0.87    0.87      78
 
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legclf_subscription_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-10-legclf_subscription_agreement_en.md
index 9891d8eee41b74..0619d82bf2f899 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legclf_subscription_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legclf_subscription_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-| label                  | precision | recall | f1-score | support |
-|------------------------|-----------|--------|----------|---------|
-| other                  | 0.99      | 0.98   | 0.98     | 85      |
-| subscription-agreement | 0.94      | 0.97   | 0.95     | 30      |
-| accuracy               | -         | -      | 0.97     | 115     |
-| macro-avg              | 0.96      | 0.97   | 0.97     | 115     |
-| weighted-avg           | 0.97      | 0.97   | 0.97     | 115     |
-
+label                   precision  recall  f1-score  support 
+other                   0.99       0.98    0.98      85      
+subscription-agreement  0.94       0.97    0.95      30      
+accuracy                -          -       0.97      115     
+macro-avg               0.96       0.97    0.97      115     
+weighted-avg            0.97       0.97    0.97      115  
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_lg_ro.md b/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_lg_ro.md
index 6239328a219d3c..d2afe7212048e5 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_lg_ro.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_lg_ro.md
@@ -150,22 +150,22 @@ Dataset is available [here](https://zenodo.org/record/7025333#.Y2zsquxBx83).
 ## Benchmarking
 
 ```bash
-| label                 | precision | recall | f1-score | support |
-| DATE                  | 0.9036    | 0.9223 | 0.9128   | 193     |
-| DECISION              | 0.9831    | 0.9831 | 0.9831   | 59      |
-| DECREE                | 0.5000    | 1.0000 | 0.6667   | 1       |
-| DIRECTIVE             | 1.0000    | 0.6667 | 0.8000   | 3       |
-| EMERGENCY_ORDINANCE   | 1.0000    | 0.9615 | 0.9804   | 26      |
-| LAW                   | 0.9619    | 0.9806 | 0.9712   | 103     |
-| LOC                   | 0.9110    | 0.8365 | 0.8721   | 159     |
-| ORDER                 | 0.9767    | 1.0000 | 0.9882   | 42      |
-| ORDINANCE             | 1.0000    | 0.9500 | 0.9744   | 20      |
-| ORG                   | 0.8899    | 0.8879 | 0.8889   | 455     |
-| PER                   | 0.9091    | 0.9821 | 0.9442   | 112     |
-| REGULATION            | 0.9118    | 0.8378 | 0.8732   | 37      |
-| REPORT                | 0.7778    | 0.7778 | 0.7778   | 9       |
-| TREATY                | 1.0000    | 1.0000 | 1.0000   | 3       |
-| micro-avg             | 0.9139    | 0.9116 | 0.9127   | 1222    |
-| macro-avg             | 0.9089    | 0.9133 | 0.9024   | 1222    |
-| weighted-avg          | 0.9143    | 0.9116 | 0.9124   | 1222    |
+label                  precision  recall  f1-score  support 
+DATE                   0.9036     0.9223  0.9128    193     
+DECISION               0.9831     0.9831  0.9831    59      
+DECREE                 0.5000     1.0000  0.6667    1       
+DIRECTIVE              1.0000     0.6667  0.8000    3       
+EMERGENCY_ORDINANCE    1.0000     0.9615  0.9804    26      
+LAW                    0.9619     0.9806  0.9712    103     
+LOC                    0.9110     0.8365  0.8721    159     
+ORDER                  0.9767     1.0000  0.9882    42      
+ORDINANCE              1.0000     0.9500  0.9744    20      
+ORG                    0.8899     0.8879  0.8889    455     
+PER                    0.9091     0.9821  0.9442    112     
+REGULATION             0.9118     0.8378  0.8732    37      
+REPORT                 0.7778     0.7778  0.7778    9       
+TREATY                 1.0000     1.0000  1.0000    3       
+micro-avg              0.9139     0.9116  0.9127    1222    
+macro-avg              0.9089     0.9133  0.9024    1222    
+weighted-avg           0.9143     0.9116  0.9124    1222
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_md_ro.md b/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_md_ro.md
index fcd57ad1f86ea1..96181fd800c260 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_md_ro.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_md_ro.md
@@ -118,13 +118,13 @@ Dataset is available [here](https://zenodo.org/record/7025333#.Y2zsquxBx83).
 ## Benchmarking
 
 ```bash
-| label        | precision | recall | f1-score | support |
-| DATE         | 0.84      | 0.92   | 0.88     | 218     |
-| LEGAL        | 0.89      | 0.96   | 0.92     | 337     |
-| LOC          | 0.82      | 0.77   | 0.79     | 158     |
-| ORG          | 0.87      | 0.88   | 0.88     | 463     |
-| PER          | 0.97      | 0.97   | 0.97     | 87      |
-| micro-avg    | 0.87      | 0.90   | 0.89     | 1263    |
-| macro-avg    | 0.88      | 0.90   | 0.89     | 1263    |
-| weighted-avg | 0.87      | 0.90   | 0.89     | 1263    |
+label         precision  recall  f1-score  support
+DATE          0.84       0.92    0.88      218
+LEGAL         0.89       0.96    0.92      337
+LOC           0.82       0.77    0.79      158
+ORG           0.87       0.88    0.88      463
+PER           0.97       0.97    0.97      87
+micro-avg     0.87       0.90    0.89      1263
+macro-avg     0.88       0.90    0.89      1263
+weighted-avg  0.87       0.90    0.89      1263
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_sm_ro.md b/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_sm_ro.md
index 71dae6b18fc4e6..ca3dc99e09f07d 100644
--- a/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_sm_ro.md
+++ b/docs/_posts/bunyamin-polat/2022-11-10-legner_romanian_official_sm_ro.md
@@ -115,13 +115,14 @@ Dataset is available [here](https://zenodo.org/record/7025333#.Y2zsquxBx83).
 ## Benchmarking
 
 ```bash
-| label        | precision | recall | f1-score | support |
-|--------------|-----------|--------|----------|---------|
-| DATE         | 0.87      | 0.96   | 0.91     | 397     |
-| LOC          | 0.87      | 0.78   | 0.83     | 190     |
-| ORG          | 0.90      | 0.93   | 0.91     | 559     |
-| PER          | 0.98      | 0.93   | 0.95     | 108     |
-| micro-avg    | 0.89      | 0.92   | 0.90     | 1254    |
-| macro-avg    | 0.91      | 0.90   | 0.90     | 1254    |
-| weighted-avg | 0.89      | 0.92   | 0.90     | 1254    |
+
+label         precision  recall  f1-score  support 
+DATE          0.87       0.96    0.91      397     
+LOC           0.87       0.78    0.83      190     
+ORG           0.90       0.93    0.91      559     
+PER           0.98       0.93    0.95      108     
+micro-avg     0.89       0.92    0.90      1254    
+macro-avg     0.91       0.90    0.90      1254    
+weighted-avg  0.89       0.92    0.90      1254
+
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_bert_en.md
index f1981ab877ea35..da78c90a5130d8 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_bert_en.md
@@ -103,14 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                          precision    recall  f1-score   support
-
-administration-agreement       0.88      0.81      0.84        26
-                   other       0.93      0.95      0.94        65
-
-                accuracy                           0.91        91
-               macro-avg       0.90      0.88      0.89        91
-            weighted-avg       0.91      0.91      0.91        91
-
+                   label precision recall  f1-score  support
+administration-agreement      0.88   0.81      0.84       26
+                   other      0.93   0.95      0.94       65
+                accuracy         -      -      0.91       91
+               macro-avg      0.90   0.88      0.89       91
+            weighted-avg      0.91   0.91      0.91       91
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_en.md
index 96bc15df30d72f..fcfa7ee15fe304 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_administration_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                             precision    recall  f1-score   support
-
-administration-agreement       0.93      0.93      0.93        29
-                   other       0.98      0.98      0.98        90
-
-                accuracy                           0.97       119
-               macro-avg       0.95      0.95      0.95       119
-            weighted-avg       0.97      0.97      0.97       119
+                   label precision recall  f1-score  support
+administration-agreement      0.93   0.93      0.93       29
+                   other      0.98   0.98      0.98       90
+                accuracy         -      -      0.97      119
+               macro-avg      0.95   0.95      0.95      119
+            weighted-avg      0.97   0.97      0.97      119
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_agreement_and_declaration_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_agreement_and_declaration_bert_en.md
index d068a3f1e168d6..2746a11ba43d69 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_agreement_and_declaration_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_agreement_and_declaration_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                           precision    recall  f1-score   support
-
-agreement-and-declaration       1.00      0.98      0.99        43
-                    other       0.99      1.00      0.99        82
-
-                 accuracy                           0.99       125
-                macro-avg       0.99      0.99      0.99       125
-             weighted-avg       0.99      0.99      0.99       125
+                    label precision recall  f1-score  support
+agreement-and-declaration      1.00   0.98      0.99       43
+                    other      0.99   1.00      0.99       82
+                 accuracy         -      -      0.99      125
+                macro-avg      0.99   0.99      0.99      125
+             weighted-avg      0.99   0.99      0.99      125
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_asset_purchase_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_asset_purchase_agreement_bert_en.md
index 154ae95fbcdc9d..19ce350f4ed57b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_asset_purchase_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_asset_purchase_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                          precision    recall  f1-score   support
-
-asset-purchase-agreement       0.91      0.76      0.83        38
-                   other       0.87      0.95      0.91        65
-
-                accuracy                           0.88       103
-               macro-avg       0.89      0.86      0.87       103
-            weighted-avg       0.89      0.88      0.88       103
+                   label precision recall  f1-score  support
+asset-purchase-agreement      0.91   0.76      0.83       38
+                   other      0.87   0.95      0.91       65
+                accuracy         -      -      0.88      103
+               macro-avg      0.89   0.86      0.87      103
+            weighted-avg      0.89   0.88      0.88      103
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_consulting_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_consulting_agreement_bert_en.md
index 7647820510b131..7777287bb4d479 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_consulting_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_consulting_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                      precision    recall  f1-score   support
-
-consulting-agreement       0.88      0.93      0.90        30
-               other       0.97      0.93      0.95        61
-
-            accuracy                           0.93        91
-           macro-avg       0.92      0.93      0.93        91
-        weighted-avg       0.94      0.93      0.93        91
+               label precision recall  f1-score  support
+consulting-agreement      0.88   0.93      0.90       30
+               other      0.97   0.93      0.95       61
+            accuracy         -      -      0.93       91
+           macro-avg      0.92   0.93      0.93       91
+        weighted-avg      0.94   0.93      0.93       91
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_contribution_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_contribution_agreement_bert_en.md
index 7b2e81dfe6a578..bdd698b17d59b5 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_contribution_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_contribution_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
-contribution-agreement       0.91      0.85      0.88        34
-                 other       0.94      0.96      0.95        82
-
-              accuracy                           0.93       116
-             macro-avg       0.92      0.91      0.92       116
-          weighted-avg       0.93      0.93      0.93       116
+                 label precision recall  f1-score  support
+contribution-agreement      0.91   0.85      0.88       34
+                 other      0.94   0.96      0.95       82
+              accuracy         -      -      0.93      116
+             macro-avg      0.92   0.91      0.92      116
+          weighted-avg      0.93   0.93      0.93      116
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_control_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_control_agreement_bert_en.md
index 64caea51dedfbe..1a70ba2e078360 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_control_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_control_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                   precision    recall  f1-score   support
-
-control-agreement       0.96      0.76      0.85        29
-            other       0.92      0.99      0.95        82
-
-         accuracy                           0.93       111
-        macro-avg       0.94      0.87      0.90       111
-     weighted-avg       0.93      0.93      0.93       111
+            label precision recall  f1-score  support
+control-agreement      0.96   0.76      0.85       29
+            other      0.92   0.99      0.95       82
+         accuracy         -      -      0.93      111
+        macro-avg      0.94   0.87      0.90      111
+     weighted-avg      0.93   0.93      0.93      111
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_credit_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_credit_agreement_bert_en.md
index 180c02493952a7..9c36a3823e93a7 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_credit_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_credit_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
-credit-agreement       0.95      0.95      0.95        38
-           other       0.97      0.97      0.97        65
-
-        accuracy                           0.96       103
-       macro-avg       0.96      0.96      0.96       103
-    weighted-avg       0.96      0.96      0.96       103
+           label precision recall  f1-score  support
+credit-agreement      0.95   0.95      0.95       38
+           other      0.97   0.97      0.97       65
+        accuracy         -      -      0.96      103
+       macro-avg      0.96   0.96      0.96      103
+    weighted-avg      0.96   0.96      0.96      103
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_custodian_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_custodian_agreement_bert_en.md
index f0f316d5d17757..57f300e9b57e98 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_custodian_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_custodian_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
-custodian-agreement       0.98      0.93      0.95        43
-              other       0.96      0.99      0.98        82
-
-           accuracy                           0.97       125
-          macro-avg       0.97      0.96      0.96       125
-       weighted-avg       0.97      0.97      0.97       125
+              label precision recall  f1-score  support
+custodian-agreement      0.98   0.93      0.95       43
+              other      0.96   0.99      0.98       82
+           accuracy         -      -      0.97      125
+          macro-avg      0.97   0.96      0.96      125
+       weighted-avg      0.97   0.97      0.97      125
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_distribution_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_distribution_agreement_bert_en.md
index 827cc15a5b34b3..bfeb0e3c740835 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_distribution_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_distribution_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
-distribution-agreement       0.92      0.95      0.94        38
-                 other       0.97      0.95      0.96        65
-
-              accuracy                           0.95       103
-             macro-avg       0.95      0.95      0.95       103
-          weighted-avg       0.95      0.95      0.95       103
+                 label precision recall  f1-score  support
+distribution-agreement      0.92   0.95      0.94       38
+                 other      0.97   0.95      0.96       65
+              accuracy         -      -      0.95      103
+             macro-avg      0.95   0.95      0.95      103
+          weighted-avg      0.95   0.95      0.95      103
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_employment_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_employment_agreement_bert_en.md
index 37e05c5641000d..e190293219c971 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_employment_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_employment_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                      precision    recall  f1-score   support
-
-employment-agreement       0.96      0.90      0.93        29
-               other       0.96      0.99      0.98        82
-
-            accuracy                           0.96       111
-           macro-avg       0.96      0.94      0.95       111
-        weighted-avg       0.96      0.96      0.96       111
+               label precision recall  f1-score  support
+employment-agreement      0.96   0.90      0.93       29
+               other      0.96   0.99      0.98       82
+            accuracy         -      -      0.96      111
+           macro-avg      0.96   0.94      0.95      111
+        weighted-avg      0.96   0.96      0.96      111
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_equity_distribution_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_equity_distribution_agreement_bert_en.md
index d79f7d2f84aabb..cd5db0453eec8b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_equity_distribution_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_equity_distribution_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
-equity-distribution-agreement       0.90      0.97      0.94        38
-                        other       0.98      0.94      0.96        65
-
-                     accuracy                           0.95       103
-                    macro-avg       0.94      0.96      0.95       103
-                 weighted-avg       0.95      0.95      0.95       103
+                        label precision recall  f1-score  support
+equity-distribution-agreement      0.90   0.97      0.94       38
+                        other      0.98   0.94      0.96       65
+                     accuracy         -      -      0.95      103
+                    macro-avg      0.94   0.96      0.95      103
+                 weighted-avg      0.95   0.95      0.95      103
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_exchange_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_exchange_agreement_bert_en.md
index 07dff72877b2fc..430696791f2489 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_exchange_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_exchange_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                    precision    recall  f1-score   support
-
-exchange-agreement       0.97      0.75      0.85        40
-             other       0.89      0.99      0.94        82
-
-          accuracy                           0.91       122
-         macro-avg       0.93      0.87      0.89       122
-      weighted-avg       0.92      0.91      0.91       122
+             label precision recall  f1-score  support
+exchange-agreement      0.97   0.75      0.85       40
+             other      0.89   0.99      0.94       82
+          accuracy         -      -      0.91      122
+         macro-avg      0.93   0.87      0.89      122
+      weighted-avg      0.92   0.91      0.91      122
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_exclusive_license_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_exclusive_license_agreement_bert_en.md
index 2cdf26442b7fcc..1b5036c4a1effc 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_exclusive_license_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_exclusive_license_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                             precision    recall  f1-score   support
-
-exclusive-license-agreement       0.98      0.95      0.96        43
-                      other       0.98      0.99      0.98        82
-
-                   accuracy                           0.98       125
-                  macro-avg       0.98      0.97      0.97       125
-               weighted-avg       0.98      0.98      0.98       125
+                      label precision recall  f1-score  support
+exclusive-license-agreement      0.98   0.95      0.96       43
+                      other      0.98   0.99      0.98       82
+                   accuracy         -      -      0.98      125
+                  macro-avg      0.98   0.97      0.97      125
+               weighted-avg      0.98   0.98      0.98      125
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_executive_employment_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_executive_employment_agreement_bert_en.md
index 704ae0fd3b8b88..256b5cc593890b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_executive_employment_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_executive_employment_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                precision    recall  f1-score   support
-
-executive-employment-agreement       0.92      0.94      0.93        36
-                         other       0.97      0.95      0.96        65
-
-                      accuracy                           0.95       101
-                     macro-avg       0.94      0.95      0.95       101
-                  weighted-avg       0.95      0.95      0.95       101
+                         label precision recall  f1-score  support
+executive-employment-agreement      0.92   0.94      0.93       36
+                         other      0.97   0.95      0.96       65
+                      accuracy         -      -      0.95      101
+                     macro-avg      0.94   0.95      0.95      101
+                  weighted-avg      0.95   0.95      0.95      101
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_general_distribution_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_general_distribution_agreement_bert_en.md
index 5045c0992fd346..fd495d4acc76da 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_general_distribution_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_general_distribution_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                precision    recall  f1-score   support
-
-general-distribution-agreement       0.91      1.00      0.95        10
-                         other       1.00      0.86      0.92         7
-
-                      accuracy                           0.94        17
-                     macro-avg       0.95      0.93      0.94        17
-                  weighted-avg       0.95      0.94      0.94        17
+                         label precision recall  f1-score  support
+general-distribution-agreement      0.91   1.00      0.95       10
+                         other      1.00   0.86      0.92        7
+                      accuracy         -      -      0.94       17
+                     macro-avg      0.95   0.93      0.94       17
+                  weighted-avg      0.95   0.94      0.94       17
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_guarantee_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_guarantee_agreement_bert_en.md
index 3abc13fbf99ae0..412082e7483f08 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_guarantee_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_guarantee_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
-guarantee-agreement       0.88      0.88      0.88        33
-              other       0.94      0.94      0.94        65
-
-           accuracy                           0.92        98
-          macro-avg       0.91      0.91      0.91        98
-       weighted-avg       0.92      0.92      0.92        98
+              label precision recall  f1-score  support
+guarantee-agreement      0.88   0.88      0.88       33
+              other      0.94   0.94      0.94       65
+           accuracy         -      -      0.92       98
+          macro-avg      0.91   0.91      0.91       98
+       weighted-avg      0.92   0.92      0.92       98
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_indemnification_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_indemnification_agreement_bert_en.md
index cb8fa31e731e13..e954ed803886ef 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_indemnification_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_indemnification_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                           precision    recall  f1-score   support
-
-indemnification-agreement       0.90      0.93      0.92        30
-                    other       0.97      0.95      0.96        65
-
-                 accuracy                           0.95        95
-                macro-avg       0.94      0.94      0.94        95
-             weighted-avg       0.95      0.95      0.95        95
+                    label precision recall  f1-score  support
+indemnification-agreement      0.90   0.93      0.92       30
+                    other      0.97   0.95      0.96       65
+                 accuracy         -      -      0.95       95
+                macro-avg      0.94   0.94      0.94       95
+             weighted-avg      0.95   0.95      0.95       95
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_intercreditor_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_intercreditor_agreement_bert_en.md
index 9e83753c65cf91..25c0a8fd394717 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_intercreditor_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_intercreditor_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                         precision    recall  f1-score   support
-
+                  label   precision    recall  f1-score   support
 intercreditor-agreement       0.87      0.82      0.84        33
                   other       0.93      0.95      0.94        82
-
-               accuracy                           0.91       115
+               accuracy         -         -       0.91       115
               macro-avg       0.90      0.88      0.89       115
            weighted-avg       0.91      0.91      0.91       115
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_investment_subadvisory_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_investment_subadvisory_agreement_bert_en.md
index abe673e59480e3..910da3c830749e 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_investment_subadvisory_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_investment_subadvisory_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                  precision    recall  f1-score   support
-
+                           label   precision    recall  f1-score   support
 investment-subadvisory-agreement       1.00      1.00      1.00        32
                            other       1.00      1.00      1.00        82
-
-                        accuracy                           1.00       114
+                        accuracy         -         -       1.00       114
                        macro-avg       1.00      1.00      1.00       114
                     weighted-avg       1.00      1.00      1.00       114
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_bert_en.md
index c6cb798ee6b9f1..19c358e0c4880b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label    precision   recall  f1-score   support
 joint-filing-agreement       1.00      0.97      0.98        31
                  other       0.98      1.00      0.99        65
-
-              accuracy                           0.99        96
+              accuracy         -         -       0.99        96
              macro-avg       0.99      0.98      0.99        96
           weighted-avg       0.99      0.99      0.99        96
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_en.md
index 1224499669fb68..9c8b9ea130655c 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_joint_filing_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label   precision    recall  f1-score   support
 joint-filing-agreement       0.97      0.97      0.97        31
                  other       0.99      0.99      0.99        90
-
-              accuracy                           0.98       121
+              accuracy         -         -       0.98       121
              macro avg       0.98      0.98      0.98       121
           weighted avg       0.98      0.98      0.98       121
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_lease_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_lease_agreement_bert_en.md
index 77b29926eb182a..32bc581f716163 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_lease_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_lease_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                 precision    recall  f1-score   support
-
-lease-agreement       0.95      0.88      0.91        40
-          other       0.94      0.98      0.96        82
-
-       accuracy                           0.94       122
-      macro-avg       0.94      0.93      0.93       122
-   weighted-avg       0.94      0.94      0.94       122
+          label precision recall  f1-score  support
+lease-agreement      0.95   0.88      0.91       40
+          other      0.94   0.98      0.96       82
+       accuracy         -      -      0.94      122
+      macro-avg      0.94   0.93      0.93      122
+   weighted-avg      0.94   0.94      0.94      122
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_bert_en.md
index 49f4ae924bd2bb..f7bb0f7cb7914e 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
-letter-agreement       0.94      0.87      0.90        38
-           other       0.93      0.97      0.95        65
-
-        accuracy                           0.93       103
-       macro-avg       0.93      0.92      0.93       103
-    weighted-avg       0.93      0.93      0.93       103
+           label precision recall  f1-score  support
+letter-agreement      0.94   0.87      0.90       38
+           other      0.93   0.97      0.95       65
+        accuracy         -      -      0.93      103
+       macro-avg      0.93   0.92      0.93      103
+    weighted-avg      0.93   0.93      0.93      103
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_en.md
index f5a96bc96d7929..56b22d6ed98067 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_letter_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
-letter-agreement       0.91      0.78      0.84        40
-           other       0.91      0.97      0.94        90
-
-        accuracy                           0.91       130
-       macro-avg       0.91      0.87      0.89       130
-    weighted-avg       0.91      0.91      0.91       130
+           label precision recall  f1-score  support
+letter-agreement      0.91   0.78      0.84       40
+           other      0.91   0.97      0.94       90
+        accuracy         -      -      0.91      130
+       macro-avg      0.91   0.87      0.89      130
+    weighted-avg      0.91   0.91      0.91      130
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_limited_partnership_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_limited_partnership_agreement_bert_en.md
index 42a6296e402f40..87a931ba1f08b5 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_limited_partnership_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_limited_partnership_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
-limited-partnership-agreement       1.00      1.00      1.00        22
-                        other       1.00      1.00      1.00        41
-
-                     accuracy                           1.00        63
-                    macro-avg       1.00      1.00      1.00        63
-                 weighted-avg       1.00      1.00      1.00        63
+                        label precision recall  f1-score  support
+limited-partnership-agreement      1.00   1.00       1.0       22
+                        other      1.00   1.00       1.0       41
+                     accuracy         -      -       1.0       63
+                    macro-avg      1.00   1.00       1.0       63
+                 weighted-avg      1.00   1.00       1.0       63
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_loan_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_loan_agreement_bert_en.md
index cb403db3146b59..d0dafa998f8387 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_loan_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_loan_agreement_bert_en.md
@@ -103,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                precision    recall  f1-score   support
-
-loan-agreement       0.72      0.97      0.82        29
-         other       0.97      0.73      0.83        41
-
-      accuracy                           0.83        70
-     macro-avg       0.84      0.85      0.83        70
-  weighted-avg       0.86      0.83      0.83        70
+         label precision recall  f1-score  support
+loan-agreement      0.72   0.97      0.82       29
+         other      0.97   0.73      0.83       41
+      accuracy         -      -      0.83       70
+     macro-avg      0.84   0.85      0.83       70
+  weighted-avg      0.86   0.83      0.83       70
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_note_purchase_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_note_purchase_agreement_en.md
index 50282578a61870..f840516af63c00 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_note_purchase_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_note_purchase_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                          precision    recall  f1-score   support
-
-note-purchase-agreement       0.90      0.92      0.91        38
-                  other       0.97      0.96      0.96        90
-
-               accuracy                           0.95       128
-              macro-avg       0.93      0.94      0.93       128
-           weighted-avg       0.95      0.95      0.95       128
+                  label precision recall  f1-score  support
+note-purchase-agreement      0.90   0.92      0.91       38
+                  other      0.97   0.96      0.96       90
+               accuracy         -      -      0.95      128
+              macro-avg      0.93   0.94      0.93      128
+           weighted-avg      0.95   0.95      0.95      128
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_operating_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_operating_agreement_en.md
index e9133d23e772f2..4438e793876e2b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_operating_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_operating_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
-operating-agreement       0.94      0.88      0.91        33
-              other       0.96      0.98      0.97        90
-
-           accuracy                           0.95       123
-          macro-avg       0.95      0.93      0.94       123
-       weighted-avg       0.95      0.95      0.95       123
+              label precision recall  f1-score  support
+operating-agreement      0.94   0.88      0.91       33
+              other      0.96   0.98      0.97       90
+           accuracy         -      -      0.95      123
+          macro-avg      0.95   0.93      0.94      123
+       weighted-avg      0.95   0.95      0.95      123
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_rights_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_rights_agreement_en.md
index 5100305541b870..b89aa114af030c 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_rights_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_rights_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
-           other       0.99      0.98      0.98        90
-rights-agreement       0.94      0.97      0.95        30
-
-        accuracy                           0.97       120
-       macro-avg       0.96      0.97      0.97       120
-    weighted-avg       0.98      0.97      0.98       120
+           label precision recall  f1-score  support
+           other      0.99   0.98      0.98       90
+rights-agreement      0.94   0.97      0.95       30
+        accuracy         -      -      0.97      120
+       macro-avg      0.96   0.97      0.97      120
+    weighted-avg      0.98   0.97      0.98      120
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_separation_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_separation_agreement_en.md
index df5c8d7e3478b8..ada5fd3d770545 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_separation_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_separation_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                      precision    recall  f1-score   support
-
-               other       0.94      0.91      0.93        90
-separation-agreement       0.82      0.88      0.85        42
-
-            accuracy                           0.90       132
-           macro-avg       0.88      0.90      0.89       132
-        weighted-avg       0.90      0.90      0.90       132
+               label precision recall  f1-score  support
+               other      0.94   0.91      0.93       90
+separation-agreement      0.82   0.88      0.85       42
+            accuracy         -      -      0.90      132
+           macro-avg      0.88   0.90      0.89      132
+        weighted-avg      0.90   0.90      0.90      132
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_settlement_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_settlement_agreement_en.md
index 2f022dc0e76a6c..0614bd006c0644 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_settlement_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_settlement_agreement_en.md
@@ -116,13 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                      precision    recall  f1-score   support
-
-               other       0.95      0.96      0.95        90
-settlement-agreement       0.90      0.88      0.89        41
-
-            accuracy                           0.93       131
-           macro-avg       0.92      0.92      0.92       131
-        weighted-avg       0.93      0.93      0.93       131
+               label precision recall  f1-score  support
+               other      0.95   0.96      0.95       90
+settlement-agreement      0.90   0.88      0.89       41
+            accuracy         -      -      0.93      131
+           macro-avg      0.92   0.92      0.92      131
+        weighted-avg      0.93   0.93      0.93      131
 
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_trust_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_trust_agreement_en.md
index 33ef5807f3b0f4..134942613079c6 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_trust_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_trust_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                 precision    recall  f1-score   support
-
+          label    precision   recall  f1-score   support
           other       0.99      0.97      0.98        90
 trust-agreement       0.93      0.97      0.95        38
-
-       accuracy                           0.97       128
+       accuracy         -         -       0.97       128
       macro-avg       0.96      0.97      0.96       128
    weighted-avg       0.97      0.97      0.97       128
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-24-legclf_voting_agreement_en.md b/docs/_posts/bunyamin-polat/2022-11-24-legclf_voting_agreement_en.md
index a24e9e9e3259b6..3df1cd756cda94 100644
--- a/docs/_posts/bunyamin-polat/2022-11-24-legclf_voting_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-24-legclf_voting_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label    precision   recall  f1-score   support
            other       0.97      0.99      0.98        90
 voting-agreement       0.97      0.90      0.93        31
-
-        accuracy                           0.97       121
+        accuracy         -         -       0.97       121
        macro avg       0.97      0.95      0.96       121
     weighted avg       0.97      0.97      0.97       121
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_loan_and_security_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_loan_and_security_agreement_bert_en.md
index 840b3f2c02172a..0ad807435b5beb 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_loan_and_security_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_loan_and_security_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                             precision    recall  f1-score   support
-
+                      label   precision    recall  f1-score   support
 loan-and-security-agreement       0.97      0.88      0.92        33
                       other       0.94      0.98      0.96        65
-
-                   accuracy                           0.95        98
+                   accuracy         -         -       0.95        98
                   macro-avg       0.95      0.93      0.94        98
                weighted-avg       0.95      0.95      0.95        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_management_contract_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_management_contract_bert_en.md
index c028575192ae9c..b2d92a478ee891 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_management_contract_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_management_contract_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label   precision    recall  f1-score   support
 management-contract       0.97      1.00      0.99        33
               other       1.00      0.98      0.99        63
-
-           accuracy                           0.99        96
+           accuracy         -         -       0.99        96
           macro-avg       0.99      0.99      0.99        96
        weighted-avg       0.99      0.99      0.99        96
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_lease_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_lease_agreement_bert_en.md
index a65c373d2d97b4..96e1598cb47dd1 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_lease_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_lease_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label   precision    recall  f1-score   support
 master-lease-agreement       0.93      0.85      0.89        33
                  other       0.93      0.97      0.95        65
-
-              accuracy                           0.93        98
+              accuracy         -         -       0.93        98
              macro-avg       0.93      0.91      0.92        98
           weighted-avg       0.93      0.93      0.93        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_repurchase_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_repurchase_agreement_bert_en.md
index 5504fc949f64d8..0126b43be1b4cb 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_repurchase_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_master_repurchase_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                             precision    recall  f1-score   support
-
+                      label   precision    recall  f1-score   support
 master-repurchase-agreement       0.97      0.91      0.94        35
                       other       0.96      0.99      0.98        82
-
-                   accuracy                           0.97       117
+                   accuracy         -         -       0.97       117
                   macro-avg       0.97      0.95      0.96       117
                weighted-avg       0.97      0.97      0.97       117
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_note_purchase_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_note_purchase_agreement_bert_en.md
index 5e1a57ee2a82e4..96b6ee9e5d0886 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_note_purchase_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_note_purchase_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                         precision    recall  f1-score   support
-
+                  label   precision    recall  f1-score   support
 note-purchase-agreement       0.92      0.79      0.85        28
                   other       0.87      0.95      0.91        41
-
-               accuracy                           0.88        69
+               accuracy         -         -       0.88        69
               macro-avg       0.89      0.87      0.88        69
            weighted-avg       0.89      0.88      0.88        69
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_operating_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_operating_agreement_bert_en.md
index 5be4f0a1590c26..c31aeb077f9980 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_operating_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_operating_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label   precision    recall  f1-score   support
 operating-agreement       0.96      0.84      0.90        31
               other       0.94      0.99      0.96        82
-
-           accuracy                           0.95       113
+           accuracy         -         -       0.95       113
           macro-avg       0.95      0.91      0.93       113
        weighted-avg       0.95      0.95      0.95       113
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_participation_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_participation_agreement_bert_en.md
index b9c13f0b906e79..2fba28aaa2fe11 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_participation_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_participation_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                         precision    recall  f1-score   support
-
+                  label   precision    recall  f1-score   support
                   other       0.97      1.00      0.98        65
 participation-agreement       1.00      0.94      0.97        33
-
-               accuracy                           0.98        98
+               accuracy         -         -       0.98        98
               macro-avg       0.99      0.97      0.98        98
            weighted-avg       0.98      0.98      0.98        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_pledge_and_security_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_pledge_and_security_agreement_bert_en.md
index a7ceeafac67929..12d83092d5270f 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_pledge_and_security_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_pledge_and_security_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
+                        label   precision    recall  f1-score   support
                         other       0.95      0.96      0.96        82
 pledge-and-security-agreement       0.91      0.89      0.90        35
-
-                     accuracy                           0.94       117
+                     accuracy         -         -       0.94       117
                     macro-avg       0.93      0.92      0.93       117
                  weighted-avg       0.94      0.94      0.94       117
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_purchase_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_purchase_agreement_bert_en.md
index c42a7e2fa4d6ad..d189410cebedfb 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_purchase_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_purchase_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                    precision    recall  f1-score   support
-
+             label   precision    recall  f1-score   support
              other       0.90      0.93      0.92        82
 purchase-agreement       0.85      0.81      0.83        42
-
-          accuracy                           0.89       124
+          accuracy         -         -       0.89       124
          macro-avg       0.88      0.87      0.87       124
       weighted-avg       0.89      0.89      0.89       124
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_rights_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_rights_agreement_bert_en.md
index 2ed7da113f4e57..332d3048f969a5 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_rights_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_rights_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label   precision    recall  f1-score   support
            other       0.91      0.97      0.94        65
 rights-agreement       0.92      0.80      0.86        30
-
-        accuracy                           0.92        95
+        accuracy         -         -       0.92        95
        macro-avg       0.92      0.88      0.90        95
     weighted-avg       0.92      0.92      0.91        95
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_securities_purchase_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_securities_purchase_agreement_bert_en.md
index 0963e5529b2e4e..f7ad4b873200cc 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_securities_purchase_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_securities_purchase_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
+                        label    precision   recall  f1-score   support
                         other       0.93      0.95      0.94        65
 securities-purchase-agreement       0.93      0.89      0.91        45
-
-                     accuracy                           0.93       110
+                     accuracy         -         -       0.93       110
                     macro-avg       0.93      0.92      0.92       110
                  weighted-avg       0.93      0.93      0.93       110
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_security_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_security_agreement_bert_en.md
index c6972ddb8540df..db49d6fd98415d 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_security_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_security_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                    precision    recall  f1-score   support
-
+             label   precision    recall  f1-score   support
              other       0.95      0.85      0.90        82
 security-agreement       0.79      0.92      0.85        49
-
-          accuracy                           0.88       131
+          accuracy         -         -       0.88       131
          macro-avg       0.87      0.89      0.87       131
       weighted-avg       0.89      0.88      0.88       131
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_separation_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_separation_agreement_bert_en.md
index 040ce77a8853e5..4b3db239c3eb87 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_separation_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_separation_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                      precision    recall  f1-score   support
-
+               label   precision    recall  f1-score   support
                other       0.93      0.95      0.94        82
 separation-agreement       0.88      0.83      0.85        35
-
-            accuracy                           0.91       117
+            accuracy         -         -       0.91       117
            macro-avg       0.90      0.89      0.90       117
         weighted-avg       0.91      0.91      0.91       117
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_service_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_service_agreement_bert_en.md
index a033d3e55ee3b2..e1579a50dacb06 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_service_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_service_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                   precision    recall  f1-score   support
-
+            label   precision    recall  f1-score   support
             other       0.89      0.95      0.92        60
 service-agreement       0.88      0.77      0.82        30
-
-         accuracy                           0.89        90
+         accuracy         -         -       0.89        90
         macro-avg       0.89      0.86      0.87        90
      weighted-avg       0.89      0.89      0.89        90
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_settlement_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_settlement_agreement_bert_en.md
index e2ecfe10d15e38..32cdb3fe1bbf13 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_settlement_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_settlement_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                      precision    recall  f1-score   support
-
+               label    precision   recall  f1-score   support
                other       0.93      0.95      0.94        65
 settlement-agreement       0.90      0.85      0.88        33
-
-            accuracy                           0.92        98
+            accuracy         -         -       0.92        98
            macro-avg       0.91      0.90      0.91        98
         weighted-avg       0.92      0.92      0.92        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_share_exchange_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_share_exchange_agreement_bert_en.md
index adc7c97551ec86..074d9cc1908d2b 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_share_exchange_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_share_exchange_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                          precision    recall  f1-score   support
-
+                   label   precision    recall  f1-score   support
                    other       0.94      0.92      0.93        65
 share-exchange-agreement       0.85      0.88      0.87        33
-
-                accuracy                           0.91        98
+                accuracy         -         -       0.91        98
                macro-avg       0.90      0.90      0.90        98
             weighted-avg       0.91      0.91      0.91        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_stock_purchase_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_stock_purchase_agreement_bert_en.md
index b4c95b2493b9de..f6b21405428a83 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_stock_purchase_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_stock_purchase_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                          precision    recall  f1-score   support
-
+                   label   precision    recall  f1-score   support
                    other       0.92      0.95      0.93        82
 stock-purchase-agreement       0.91      0.86      0.88        49
-
-                accuracy                           0.92       131
+                accuracy         -         -       0.92       131
                macro-avg       0.92      0.90      0.91       131
             weighted-avg       0.92      0.92      0.92       131
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_stockholder_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_stockholder_agreement_bert_en.md
index bcd1bfdc8dee78..5187aa71e756bd 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_stockholder_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_stockholder_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                       precision    recall  f1-score   support
-
+                label   precision    recall  f1-score   support
                 other       0.93      1.00      0.96        65
 stockholder-agreement       1.00      0.83      0.91        29
-
-             accuracy                           0.95        94
+             accuracy         -         -       0.95        94
             macro-avg       0.96      0.91      0.93        94
          weighted-avg       0.95      0.95      0.95        94
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_sublease_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_sublease_agreement_bert_en.md
index e56acb0db5b655..eb980bdc33a1a2 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_sublease_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_sublease_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                    precision    recall  f1-score   support
-
+             label   precision    recall  f1-score   support
              other       1.00      1.00      1.00        65
 sublease-agreement       1.00      1.00      1.00        33
-
-          accuracy                           1.00        98
+          accuracy         -         -       1.00        98
          macro-avg       1.00      1.00      1.00        98
       weighted-avg       1.00      1.00      1.00        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_subscription_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_subscription_agreement_bert_en.md
index 2825502e42e793..70524db70d94f0 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_subscription_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_subscription_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label   precision    recall  f1-score   support
                  other       0.94      0.97      0.95        65
 subscription-agreement       0.94      0.89      0.91        35
-
-              accuracy                           0.94       100
+              accuracy         -         -       0.94       100
              macro-avg       0.94      0.93      0.93       100
           weighted-avg       0.94      0.94      0.94       100
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_terms_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_terms_agreement_bert_en.md
index 21e02b84ac871f..d218f678bc3ece 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_terms_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_terms_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                 precision    recall  f1-score   support
-
+          label   precision    recall  f1-score   support
           other       0.97      0.95      0.96        65
 terms-agreement       0.91      0.94      0.93        34
-
-       accuracy                           0.95        99
+       accuracy         -         -       0.95        99
       macro-avg       0.94      0.95      0.94        99
    weighted-avg       0.95      0.95      0.95        99
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_transition_services_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_transition_services_agreement_bert_en.md
index 1eaaf71e854842..01e4122d541e3f 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_transition_services_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_transition_services_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
+                        label   precision    recall  f1-score   support
                         other       0.99      0.98      0.98        82
 transition-services-agreement       0.94      0.97      0.96        34
-
-                     accuracy                           0.97       116
+                     accuracy         -         -       0.97       116
                     macro-avg       0.97      0.97      0.97       116
                  weighted-avg       0.97      0.97      0.97       116
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_trust_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_trust_agreement_bert_en.md
index 18202d43355edf..f3f6996a63422e 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_trust_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_trust_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                 precision    recall  f1-score   support
-
+          label   precision    recall  f1-score   support
           other       0.97      0.90      0.94        82
 trust-agreement       0.82      0.95      0.88        39
-
-       accuracy                           0.92       121
+       accuracy         -         -       0.92       121
       macro-avg       0.90      0.93      0.91       121
    weighted-avg       0.92      0.92      0.92       121
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-25-legclf_voting_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-11-25-legclf_voting_agreement_bert_en.md
index 64b3f64a681325..2087478e226142 100644
--- a/docs/_posts/bunyamin-polat/2022-11-25-legclf_voting_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-11-25-legclf_voting_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label   precision    recall  f1-score   support
            other       0.97      0.98      0.98        65
 voting-agreement       0.97      0.94      0.95        33
-
-        accuracy                           0.97        98
+        accuracy         -         -       0.97        98
        macro-avg       0.97      0.96      0.97        98
     weighted-avg       0.97      0.97      0.97        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-11-30-legner_ronec_ro.md b/docs/_posts/bunyamin-polat/2022-11-30-legner_ronec_ro.md
index cdd917783becb8..d9bf471d9f7265 100644
--- a/docs/_posts/bunyamin-polat/2022-11-30-legner_ronec_ro.md
+++ b/docs/_posts/bunyamin-polat/2022-11-30-legner_ronec_ro.md
@@ -132,7 +132,6 @@ Dataset is available [here](https://github.com/dumitrescustefan/ronec).
 
 ```bash
 label         precision  recall  f1-score  support
-
 DATETIME      0.90       0.90    0.90      1070
 EVENT         0.53       0.68    0.59      116
 LANGUAGE      0.98       0.95    0.97      44
@@ -144,7 +143,6 @@ ORDINAL       0.88       0.93    0.90      183
 ORG           0.81       0.83    0.82      779
 PERSON        0.89       0.91    0.90      2635
 WORK_OF_ART   0.73       0.57    0.64      140
-
 micro-avg     0.89       0.90    0.89      8276
 macro-avg     0.86       0.87    0.86      8276
 weighted-avg  0.89       0.90    0.89      8276
diff --git a/docs/_posts/bunyamin-polat/2022-12-01-finclf_sec_filings_en.md b/docs/_posts/bunyamin-polat/2022-12-01-finclf_sec_filings_en.md
index 189ccd350a2c6f..5d6b19b5eae676 100644
--- a/docs/_posts/bunyamin-polat/2022-12-01-finclf_sec_filings_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-01-finclf_sec_filings_en.md
@@ -102,8 +102,7 @@ Scrapped filings from SEC
 ## Benchmarking
 
 ```bash
-class         precision  recall  f1-score  support
-
+label         precision  recall  f1-score  support
 10-K          0.97       0.82    0.89      40
 10-Q          0.94       0.94    0.94      35
 3             0.80       0.95    0.87      41
@@ -111,8 +110,7 @@ class         precision  recall  f1-score  support
 8-K           0.81       0.94    0.87      32
 S-8           0.91       0.93    0.92      44
 other         0.98       0.98    0.98      41
-
-accuracy                         0.90      275
+accuracy        -          -     0.90      275
 macro-avg     0.91       0.90    0.90      275
 weighted-avg  0.91       0.90    0.90      275
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_bert_en.md
index 14eb280800e874..b84a3986c2f83e 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                      precision    recall  f1-score   support
-
+                               label   precision    recall  f1-score   support
 agreement-and-plan-of-reorganization       1.00      1.00      1.00        31
                                other       1.00      1.00      1.00        35
-
-                            accuracy                           1.00        66
+                            accuracy         -         -       1.00        66
                            macro-avg       1.00      1.00      1.00        66
                         weighted-avg       1.00      1.00      1.00        66
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_en.md
index 0ae4083edba9c7..e617593a0d9c4f 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_agreement_and_plan_of_reorganization_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                      precision    recall  f1-score   support
-
+                               label   precision    recall  f1-score   support
 agreement-and-plan-of-reorganization       1.00      0.92      0.96        52
                                other       0.97      1.00      0.98       111
-
-                            accuracy                           0.98       163
+                            accuracy         -         -       0.98       163
                            macro-avg       0.98      0.96      0.97       163
                         weighted-avg       0.98      0.98      0.98       163
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_bert_en.md
index 4f405b9614ea65..cb86db7340b60e 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                   precision    recall  f1-score   support
-
+            label   precision    recall  f1-score   support
 deposit-agreement       0.97      0.97      0.97        36
             other       0.98      0.98      0.98        65
-
-         accuracy                           0.98       101
+         accuracy         -         -       0.98       101
         macro-avg       0.98      0.98      0.98       101
      weighted-avg       0.98      0.98      0.98       101
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_en.md
index da073d3419e3e7..c3a4e0c92fc29e 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_deposit_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                   precision    recall  f1-score   support
-
+            label   precision    recall  f1-score   support
 deposit-agreement       1.00      0.93      0.97        61
             other       0.97      1.00      0.98       111
-
-         accuracy                           0.98       172
+         accuracy         -         -       0.98       172
         macro-avg       0.98      0.97      0.97       172
      weighted-avg       0.98      0.98      0.98       172
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_bert_en.md
index 64c76770d14930..2934499368d5d4 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label   precision    recall  f1-score   support
 indemnity-agreement       0.88      0.82      0.85        28
               other       0.86      0.91      0.89        35
-
-           accuracy                           0.87        63
+           accuracy         -         -       0.87        63
           macro-avg       0.87      0.87      0.87        63
        weighted-avg       0.87      0.87      0.87        63
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_en.md
index c1a722bce58a4f..eb9fe475a3ccfc 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_indemnity_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label    precision   recall  f1-score   support
 indemnity-agreement       0.96      0.94      0.95        50
               other       0.97      0.98      0.98       111
-
-           accuracy                           0.97       161
+           accuracy         -         -       0.97       161
           macro-avg       0.97      0.96      0.96       161
        weighted-avg       0.97      0.97      0.97       161
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_bert_en.md
index fb8922fe07c89a..2e8fa8f26c1508 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
+                        label   precision    recall  f1-score   support
 investment-advisory-agreement       0.98      0.98      0.98        42
                         other       0.97      0.97      0.97        35
-
-                     accuracy                           0.97        77
+                     accuracy         -         -       0.97        77
                     macro-avg       0.97      0.97      0.97        77
                  weighted-avg       0.97      0.97      0.97        77
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_en.md
index 6fa1f5bfb1c534..2daf8bcd90abdb 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_investment_advisory_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
+                        label   precision    recall  f1-score   support
 investment-advisory-agreement       0.97      0.98      0.98        60
                         other       0.99      0.98      0.99       111
-
-                     accuracy                           0.98       171
+                     accuracy         -         -       0.98       171
                     macro-avg       0.98      0.98      0.98       171
                  weighted-avg       0.98      0.98      0.98       171
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_bert_en.md
index a4073d7d56e27c..f8e1bd4c9e8be4 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label    precision   recall  f1-score   support
 option-agreement       0.94      0.82      0.88        39
            other       0.90      0.97      0.93        65
-
-        accuracy                           0.91       104
+        accuracy         -          -      0.91       104
        macro-avg       0.92      0.89      0.91       104
     weighted-avg       0.92      0.91      0.91       104
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_en.md
index 09b3ad08d795d6..3c2e4dbc24f9d4 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_option_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label   precision    recall  f1-score   support
 option-agreement       0.96      0.93      0.95        59
            other       0.96      0.98      0.97       111
-
-        accuracy                           0.96       170
+        accuracy         -         -       0.96       170
        macro-avg       0.96      0.96      0.96       170
     weighted-avg       0.96      0.96      0.96       170
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_bert_en.md
index 67a99e65846dd5..144a9470195802 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label   precision    recall  f1-score   support
            other       0.96      0.98      0.97        65
 pledge-agreement       0.96      0.88      0.92        26
-
-        accuracy                           0.96        91
+        accuracy         -         -       0.96        91
        macro-avg       0.96      0.93      0.94        91
     weighted-avg       0.96      0.96      0.96        91
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_en.md
index afe9117360e00f..4d28e130c7503b 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_pledge_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label   precision    recall  f1-score   support
            other       0.95      1.00      0.97       111
 pledge-agreement       1.00      0.88      0.94        50
-
-        accuracy                           0.96       161
+        accuracy         -         -       0.96       161
        macro-avg       0.97      0.94      0.95       161
     weighted-avg       0.96      0.96      0.96       161
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_bert_en.md
index 37c98f58cc4ac3..0a9ff346495677 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                 precision    recall  f1-score   support
-
+                          label   precision    recall  f1-score   support
                           other       0.94      0.94      0.94        35
 restricted-stock-unit-agreement       0.95      0.95      0.95        42
-
-                       accuracy                           0.95        77
+                       accuracy         -         -       0.95        77
                       macro-avg       0.95      0.95      0.95        77
                    weighted-avg       0.95      0.95      0.95        77
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_en.md
index ba420d533c9b27..6fe7e20b10550b 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_restricted_stock_unit_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                 precision    recall  f1-score   support
-
+                          label   precision    recall  f1-score   support
                           other       0.99      0.99      0.99        80
 restricted-stock-unit-agreement       0.97      0.97      0.97        39
-
-                       accuracy                           0.98       119
+                       accuracy         -         -       0.98       119
                       macro-avg       0.98      0.98      0.98       119
                    weighted-avg       0.98      0.98      0.98       119
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_bert_en.md
index 3354d70cd0c208..e42b82b3f05c53 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                            precision    recall  f1-score   support
-
+                     label   precision    recall  f1-score   support
                      other       0.94      0.94      0.94        35
 revolving-credit-agreement       0.93      0.93      0.93        29
-
-                  accuracy                           0.94        64
+                  accuracy         -         -       0.94        64
                  macro-avg       0.94      0.94      0.94        64
               weighted-avg       0.94      0.94      0.94        64
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_en.md
index 8b8835eff2e298..a01fb843d9a2b1 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_revolving_credit_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                            precision    recall  f1-score   support
-
+                     label    precision   recall  f1-score   support
                      other       0.98      0.97      0.98       111
 revolving-credit-agreement       0.93      0.96      0.95        45
-
-                  accuracy                           0.97       156
+                  accuracy         -         -       0.97       156
                  macro-avg       0.96      0.96      0.96       156
               weighted-avg       0.97      0.97      0.97       156
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_bert_en.md
index 1837fb47ede307..c7d7df7dab8e6a 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label   precision    recall  f1-score   support
               other       0.95      1.00      0.97        35
 severance-agreement       1.00      0.91      0.95        22
-
-           accuracy                           0.96        57
+           accuracy         -         -       0.96        57
           macro-avg       0.97      0.95      0.96        57
        weighted-avg       0.97      0.96      0.96        57
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_en.md
index e4062af8d8a862..1dd30786896f03 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_severance_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label   precision    recall  f1-score   support
               other       1.00      0.99      1.00       111
 severance-agreement       0.98      1.00      0.99        57
-
-           accuracy                           0.99       168
+           accuracy         -         -       0.99       168
           macro-avg       0.99      1.00      0.99       168
        weighted-avg       0.99      0.99      0.99       168
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_bert_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_bert_en.md
index 3ca9c766854717..deec9de92f7c5e 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_bert_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_bert_en.md
@@ -103,12 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label   precision    recall  f1-score   support
                  other       0.97      0.97      0.97        65
 underwriting-agreement       0.94      0.94      0.94        36
-
-              accuracy                           0.96       101
+              accuracy         -         -       0.96       101
              macro-avg       0.96      0.96      0.96       101
           weighted-avg       0.96      0.96      0.96       101
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_en.md b/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_en.md
index f1bb2a4cd640cb..aca029b373a535 100644
--- a/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-06-legclf_underwriting_agreement_en.md
@@ -116,12 +116,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label   precision    recall  f1-score   support
                  other       0.97      1.00      0.99       111
 underwriting-agreement       1.00      0.93      0.96        43
-
-              accuracy                           0.98       154
+              accuracy         -         -       0.98       154
              macro-avg       0.99      0.97      0.98       154
           weighted-avg       0.98      0.98      0.98       154
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_business_day_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_business_day_clause_en.md
index 2e158a0d995074..832c205c487c3f 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_business_day_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_business_day_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-              precision    recall  f1-score   support
-
+       label   precision    recall  f1-score   support
 business-day       0.90      1.00      0.95        28
        other       1.00      0.96      0.98        73
-
-    accuracy                           0.97       101
+    accuracy         -         -       0.97       101
    macro-avg       0.95      0.98      0.96       101
 weighted-avg       0.97      0.97      0.97       101
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_demand_registration_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_demand_registration_clause_en.md
index e7a430e31695f1..67c4422edd1cb9 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_demand_registration_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_demand_registration_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                     precision    recall  f1-score   support
-
+              label   precision    recall  f1-score   support
 demand-registration       1.00      0.96      0.98        28
               other       0.99      1.00      0.99        73
-
-           accuracy                           0.99       101
+           accuracy         -         -       0.99       101
           macro-avg       0.99      0.98      0.99       101
        weighted-avg       0.99      0.99      0.99       101
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_electronic_communications_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_electronic_communications_clause_en.md
index 6e8c6359b3d759..c07d41c35de86b 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_electronic_communications_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_electronic_communications_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                           precision    recall  f1-score   support
-
+                    label   precision    recall  f1-score   support
 electronic-communications       1.00      1.00      1.00        25
                     other       1.00      1.00      1.00        73
-
-                 accuracy                           1.00        98
+                 accuracy         -         -       1.00        98
                 macro-avg       1.00      1.00      1.00        98
              weighted-avg       1.00      1.00      1.00        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_entire_agreement_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_entire_agreement_clause_en.md
index 7c9a0068f1758e..9e98ed79427bdc 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_entire_agreement_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_entire_agreement_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                  precision    recall  f1-score   support
-
+           label   precision    recall  f1-score   support
 entire-agreement       1.00      1.00      1.00        24
            other       1.00      1.00      1.00        73
-
-        accuracy                           1.00        97
+        accuracy         -         -       1.00        97
        macro-avg       1.00      1.00      1.00        97
     weighted-avg       1.00      1.00      1.00        97
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_governing_law_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_governing_law_clause_en.md
index dc602316109d41..46fffc70ed7740 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_governing_law_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_governing_law_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-               precision    recall  f1-score   support
-
+        label   precision    recall  f1-score   support
 governing-law       0.96      1.00      0.98        25
         other       1.00      0.99      0.99        73
-
-     accuracy                           0.99        98
+     accuracy         -         -       0.99        98
     macro-avg       0.98      0.99      0.99        98
  weighted-avg       0.99      0.99      0.99        98
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_health_and_safety_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_health_and_safety_clause_en.md
index 1fb6e8cb471d7c..7f2ce08921ac6c 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_health_and_safety_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_health_and_safety_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                   precision    recall  f1-score   support
-
+            label    precision   recall  f1-score   support
 health-and-safety       1.00      0.85      0.92        27
             other       0.95      1.00      0.97        73
-
-         accuracy                           0.96       100
+         accuracy         -         -       0.96       100
         macro-avg       0.97      0.93      0.95       100
      weighted-avg       0.96      0.96      0.96       100
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_language_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_language_clause_en.md
index c5caeec564a176..4b4c93cd6eaf6e 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_language_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_language_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-              precision    recall  f1-score   support
-
+       label   precision    recall  f1-score   support
     language       1.00      1.00      1.00        28
        other       1.00      1.00      1.00        73
-
-    accuracy                           1.00       101
+    accuracy         -         -       1.00       101
    macro-avg       1.00      1.00      1.00       101
 weighted-avg       1.00      1.00      1.00       101
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_replacement_of_lenders_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_replacement_of_lenders_clause_en.md
index 9bdb1509cb8a16..14c60bc7947ed1 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_replacement_of_lenders_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_replacement_of_lenders_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label    precision   recall  f1-score   support
                  other       1.00      0.95      0.97        73
 replacement-of-lenders       0.87      1.00      0.93        26
-
-              accuracy                           0.96        99
+              accuracy         -         -       0.96        99
              macro-avg       0.93      0.97      0.95        99
           weighted-avg       0.96      0.96      0.96        99
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_rules_and_regulations_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_rules_and_regulations_clause_en.md
index d75680557848fc..5b02d42af2962e 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_rules_and_regulations_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_rules_and_regulations_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                       precision    recall  f1-score   support
-
+                label   precision    recall  f1-score   support
                 other       0.97      1.00      0.99        73
 rules-and-regulations       1.00      0.93      0.96        28
-
-             accuracy                           0.98       101
+             accuracy         -         -       0.98       101
             macro-avg       0.99      0.96      0.97       101
          weighted-avg       0.98      0.98      0.98       101
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-07-legclf_ti_allowance_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-07-legclf_ti_allowance_clause_en.md
index 381d6c7feb0843..f6f9e3eb4a7567 100644
--- a/docs/_posts/bunyamin-polat/2022-12-07-legclf_ti_allowance_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-07-legclf_ti_allowance_clause_en.md
@@ -110,12 +110,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-              precision    recall  f1-score   support
-
+       label   precision    recall  f1-score   support
        other       0.99      1.00      1.00       246
 ti-allowance       1.00      0.98      0.99        99
-
-    accuracy                           0.99       345
+    accuracy         -         -       0.99       345
    macro-avg       1.00      0.99      0.99       345
 weighted-avg       0.99      0.99      0.99       345
 
diff --git a/docs/_posts/bunyamin-polat/2022-12-16-legclf_notice_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-16-legclf_notice_clause_en.md
index fba99e1c83f71e..eeb3750d516815 100644
--- a/docs/_posts/bunyamin-polat/2022-12-16-legclf_notice_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-16-legclf_notice_clause_en.md
@@ -105,12 +105,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-      label    precision    recall  f1-score   support
-
-      notice       1.00      0.98      0.99        64
-       other       0.99      1.00      0.99        92
-
-    accuracy                           0.99       156
-   macro-avg       0.99      0.99      0.99       156
-weighted-avg       0.99      0.99      0.99       156
+       label precision recall  f1-score  support
+      notice      1.00   0.98      0.99       64
+       other      0.99   1.00      0.99       92
+    accuracy         -      -      0.99      156
+   macro-avg      0.99   0.99      0.99      156
+weighted-avg      0.99   0.99      0.99      156
 ```
diff --git a/docs/_posts/bunyamin-polat/2022-12-16-legner_notice_clause_en.md b/docs/_posts/bunyamin-polat/2022-12-16-legner_notice_clause_en.md
index 329c310151af38..aff386fadaad81 100644
--- a/docs/_posts/bunyamin-polat/2022-12-16-legner_notice_clause_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-16-legner_notice_clause_en.md
@@ -112,7 +112,7 @@ In-house dataset
 ## Benchmarking
 
 ```bash
-      label     precision    recall  f1-score   support
+        label     precision  recall  f1-score   support
       ADDRESS       0.86      0.94      0.90       141
    DEPARTMENT       0.75      0.27      0.40        11
         EMAIL       0.92      1.00      0.96        48
@@ -123,7 +123,6 @@ NOTICE_METHOD       0.74      0.80      0.77       353
        PERSON       0.91      0.94      0.92       114
         PHONE       0.60      0.47      0.53        19
         TITLE       0.76      0.90      0.82        80
-
     micro-avg       0.78      0.85      0.81      1060
     macro-avg       0.77      0.79      0.77      1060
  weighted-avg       0.79      0.85      0.81      1060
diff --git a/docs/_posts/bunyamin-polat/2022-12-17-legre_notice_clause_xs_en.md b/docs/_posts/bunyamin-polat/2022-12-17-legre_notice_clause_xs_en.md
index ff74306322cd15..227d69f373e61f 100644
--- a/docs/_posts/bunyamin-polat/2022-12-17-legre_notice_clause_xs_en.md
+++ b/docs/_posts/bunyamin-polat/2022-12-17-legre_notice_clause_xs_en.md
@@ -141,16 +141,17 @@ In-house dataset
 ## Benchmarking
 
 ```bash
-| Relation         | Recall  | Precision | F1    | Support |
-|------------------|---------|-----------|-------|---------|
-| has_address      | 0.976   | 1.000     | 0.988 | 41      |
-| has_department   | 0.667   | 1.000     | 0.800 | 3       |
-| has_email        | 1.000   | 1.000     | 1.000 | 7       |
-| has_fax_phone    | 1.000   | 1.000     | 1.000 | 8       |
-| has_notice_party | 1.000   | 0.955     | 0.977 | 42      |
-| has_person       | 1.000   | 0.938     | 0.968 | 15      |
-| has_title        | 0.875   | 0.933     | 0.903 | 16      |
-| other            | 1.000   | 1.000     | 1.000 | 68      |
-| Avg.             | 0.940   | 0.978     | 0.954 |         |
-| Weighted-Avg.    | 0.980   | 0.980     | 0.979 |         |
+
+label             Recall  Precision  F1     Support 
+has_address       0.976   1.000      0.988  41      
+has_department    0.667   1.000      0.800  3       
+has_email         1.000   1.000      1.000  7       
+has_fax_phone     1.000   1.000      1.000  8       
+has_notice_party  1.000   0.955      0.977  42      
+has_person        1.000   0.938      0.968  15      
+has_title         0.875   0.933      0.903  16      
+other             1.000   1.000      1.000  68      
+Avg.              0.940   0.978      0.954  -       
+Weighted-Avg.     0.980   0.980      0.979  -  
+
 ```
diff --git a/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_generic_sm_en.md b/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_generic_sm_en.md
index bd56dee46be6e5..2317f4b428b43d 100644
--- a/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_generic_sm_en.md
+++ b/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_generic_sm_en.md
@@ -186,42 +186,42 @@ In-house annotations on Earning Calls.
 ## Benchmarking
 
 ```bash
-label	 tp	 fp	 fn	 prec	 rec	 f1
-I-AMOUNT	 383	 1	 3	 0.9973958	 0.992228	 0.9948052
-B-COUNT	 13	 5	 2	 0.7222222	 0.8666667	 0.78787875
-B-AMOUNT	 453	 0	 6	 1.0	 0.9869281	 0.9934211
-I-ORG	 16	 0	 0	 1.0	 1.0	 1.0
-B-DATE	 117	 11	 5	 0.9140625	 0.9590164	 0.93600005
-B-LIABILITY_DECREASE	 1	 1	 0	 0.5	 1.0	 0.6666667
-I-LIABILITY	 8	 6	 3	 0.5714286	 0.72727275	 0.64000005
-I-EXPENSE	 75	 13	 52	 0.85227275	 0.5905512	 0.69767445
-I-KPI_INCREASE	 6	 3	 8	 0.6666667	 0.42857143	 0.5217392
-B-LIABILITY	 9	 4	 5	 0.6923077	 0.64285713	 0.6666667
-I-CF	 18	 1	 18	 0.94736844	 0.5	 0.6545455
-I-COUNT	 12	 2	 1	 0.85714287	 0.9230769	 0.8888889
-B-FCF	 13	 5	 0	 0.7222222	 1.0	 0.83870965
-B-PROFIT_INCREASE	 79	 22	 31	 0.7821782	 0.7181818	 0.7488152
-B-KPI_INCREASE	 3	 4	 11	 0.42857143	 0.21428572	 0.2857143
-B-EXPENSE	 41	 19	 38	 0.68333334	 0.51898736	 0.5899281
-I-PROFIT_DECLINE	 5	 7	 22	 0.41666666	 0.18518518	 0.25641027
-I-LIABILITY_DECREASE	 1	 1	 0	 0.5	 1.0	 0.6666667
-I-PROFIT	 188	 47	 50	 0.8	 0.789916	 0.79492605
-B-CURRENCY	 440	 0	 1	 1.0	 0.9977324	 0.9988649
-I-PROFIT_INCREASE	 77	 23	 45	 0.77	 0.63114756	 0.69369364
-I-CURRENCY	 6	 0	 0	 1.0	 1.0	 1.0
-B-CF	 9	 1	 8	 0.9	 0.5294118	 0.6666667
-B-PROFIT	 147	 51	 40	 0.74242425	 0.7860963	 0.7636363
-B-PERCENTAGE	 417	 2	 4	 0.99522674	 0.99049884	 0.99285716
-B-TICKER	 13	 0	 0	 1.0	 1.0	 1.0
-I-FISCAL_YEAR	 3	 0	 0	 1.0	 1.0	 1.0
-B-ORG	 14	 0	 0	 1.0	 1.0	 1.0
-B-EXPENSE_INCREASE	 6	 0	 4	 1.0	 0.6	 0.75
-B-EXPENSE_DECREASE	 1	 0	 1	 1.0	 0.5	 0.6666667
-B-ASSET	 9	 2	 16	 0.8181818	 0.36	 0.5
-B-FISCAL_YEAR	 1	 0	 0	 1.0	 1.0	 1.0
-I-EXPENSE_DECREASE	 3	 2	 2	 0.6	 0.6	 0.6
-I-FCF	 26	 15	 0	 0.63414633	 1.0	 0.7761194
-I-EXPENSE_INCREASE	 8	 0	 3	 1.0	 0.72727275	 0.84210527
-Macro-average 2637 255 465 0.7494908 0.64362085 0.70253296
-Micro-average 2637 255 465 0.9118257 0.8500967 0.8798799
+label                 tp    fp   fn   prec        rec         f1         
+I-AMOUNT              383   1    3    0.9973958   0.992228    0.9948052  
+B-COUNT               13    5    2    0.7222222   0.8666667   0.78787875 
+B-AMOUNT              453   0    6    1.0         0.9869281   0.9934211  
+I-ORG                 16    0    0    1.0         1.0         1.0        
+B-DATE                117   11   5    0.9140625   0.9590164   0.93600005 
+B-LIABILITY_DECREASE  1     1    0    0.5         1.0         0.6666667  
+I-LIABILITY           8     6    3    0.5714286   0.72727275  0.64000005 
+I-EXPENSE             75    13   52   0.85227275  0.5905512   0.69767445 
+I-KPI_INCREASE        6     3    8    0.6666667   0.42857143  0.5217392  
+B-LIABILITY           9     4    5    0.6923077   0.64285713  0.6666667  
+I-CF                  18    1    18   0.94736844  0.5         0.6545455  
+I-COUNT               12    2    1    0.85714287  0.9230769   0.8888889  
+B-FCF                 13    5    0    0.7222222   1.0         0.83870965 
+B-PROFIT_INCREASE     79    22   31   0.7821782   0.7181818   0.7488152  
+B-KPI_INCREASE        3     4    11   0.42857143  0.21428572  0.2857143  
+B-EXPENSE             41    19   38   0.68333334  0.51898736  0.5899281  
+I-PROFIT_DECLINE      5     7    22   0.41666666  0.18518518  0.25641027 
+I-LIABILITY_DECREASE  1     1    0    0.5         1.0         0.6666667  
+I-PROFIT              188   47   50   0.8         0.789916    0.79492605 
+B-CURRENCY            440   0    1    1.0         0.9977324   0.9988649  
+I-PROFIT_INCREASE     77    23   45   0.77        0.63114756  0.69369364 
+I-CURRENCY            6     0    0    1.0         1.0         1.0        
+B-CF                  9     1    8    0.9         0.5294118   0.6666667  
+B-PROFIT              147   51   40   0.74242425  0.7860963   0.7636363  
+B-PERCENTAGE          417   2    4    0.99522674  0.99049884  0.99285716 
+B-TICKER              13    0    0    1.0         1.0         1.0        
+I-FISCAL_YEAR         3     0    0    1.0         1.0         1.0        
+B-ORG                 14    0    0    1.0         1.0         1.0        
+B-EXPENSE_INCREASE    6     0    4    1.0         0.6         0.75       
+B-EXPENSE_DECREASE    1     0    1    1.0         0.5         0.6666667  
+B-ASSET               9     2    16   0.8181818   0.36        0.5        
+B-FISCAL_YEAR         1     0    0    1.0         1.0         1.0        
+I-EXPENSE_DECREASE    3     2    2    0.6         0.6         0.6        
+I-FCF                 26    15   0    0.63414633  1.0         0.7761194  
+I-EXPENSE_INCREASE    8     0    3    1.0         0.72727275  0.84210527 
+Macro-average         2637  255  465  0.7494908   0.64362085  0.70253296 
+Micro-average         2637  255  465  0.9118257   0.8500967   0.8798799  
 ```
diff --git a/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_specific_sm_en.md b/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_specific_sm_en.md
index 10783e2132ddce..6b76350dcc7d66 100644
--- a/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_specific_sm_en.md
+++ b/docs/_posts/dcecchini/2022-11-30-finner_earning_calls_specific_sm_en.md
@@ -191,50 +191,52 @@ In-house annotations on Earning Calls.
 ## Benchmarking
 
 ```bash
-label	 tp	 fp	 fn	 prec	 rec	 f1
-I-REVENUE_INCREASE	 53	 16	 52	 0.76811594	 0.50476193	 0.6091954
-I-AMOUNT	 382	 2	 4	 0.9947917	 0.9896373	 0.9922078
-B-COUNT	 14	 9	 1	 0.6086956	 0.93333334	 0.73684216
-B-AMOUNT	 454	 0	 5	 1.0	 0.9891068	 0.9945236
-I-KPI	 2	 11	 23	 0.15384616	 0.08	 0.10526316
-I-ORG	 16	 0	 0	 1.0	 1.0	 1.0
-B-DATE	 122	 13	 0	 0.9037037	 1.0	 0.94941634
-B-LIABILITY_DECREASE	 1	 1	 0	 0.5	 1.0	 0.6666667
-I-DATE	 3	 2	 0	 0.6	 1.0	 0.75
-B-LOSS	 4	 0	 4	 1.0	 0.5	 0.6666667
-I-ASSET	 6	 2	 14	 0.75	 0.3	 0.42857146
-I-EXPENSE	 46	 13	 59	 0.779661	 0.43809524	 0.5609756
-I-KPI_INCREASE	 1	 7	 13	 0.125	 0.071428575	 0.09090909
-B-REVENUE_INCREASE	 60	 21	 34	 0.7407407	 0.63829786	 0.6857143
-I-COUNT	 13	 6	 0	 0.68421054	 1.0	 0.8125
-I-CFO	 23	 1	 0	 0.9583333	 1.0	 0.9787234
-B-FCF	 13	 4	 0	 0.7647059	 1.0	 0.8666667
-B-PROFIT_INCREASE	 11	 11	 5	 0.5	 0.6875	 0.57894737
-B-EXPENSE	 26	 16	 45	 0.61904764	 0.36619717	 0.460177
-B-REVENUE_DECLINE	 6	 4	 13	 0.6	 0.31578946	 0.41379312
-B-STOCKHOLDERS_EQUITY	 3	 0	 3	 1.0	 0.5	 0.6666667
-I-PROFIT_DECLINE	 4	 1	 7	 0.8	 0.36363637	 0.5
-I-LIABILITY_DECREASE	 1	 1	 0	 0.5	 1.0	 0.6666667
-I-LOSS	 12	 0	 10	 1.0	 0.54545456	 0.7058824
-I-PROFIT	 148	 40	 10	 0.78723407	 0.93670887	 0.8554913
-B-CFO	 9	 1	 1	 0.9	 0.9	 0.9
-B-CURRENCY	 440	 0	 1	 1.0	 0.9977324	 0.9988649
-I-PROFIT_INCREASE	 11	 10	 6	 0.52380955	 0.64705884	 0.5789474
-I-CURRENCY	 6	 0	 0	 1.0	 1.0	 1.0
-B-PROFIT	 93	 27	 16	 0.775	 0.853211	 0.812227
-B-PERCENTAGE	 418	 7	 3	 0.9835294	 0.9928741	 0.9881796
-B-TICKER	 13	 0	 0	 1.0	 1.0	 1.0
-I-FISCAL_YEAR	 2	 3	 1	 0.4	 0.6666667	 0.5
-B-ORG	 14	 0	 0	 1.0	 1.0	 1.0
-I-STOCKHOLDERS_EQUITY	 6	 0	 2	 1.0	 0.75	 0.85714287
-I-REVENUE_DECLINE	 8	 9	 8	 0.47058824	 0.5	 0.4848485
-B-EXPENSE_INCREASE	 6	 0	 4	 1.0	 0.6	 0.75
-B-REVENUE	 51	 17	 15	 0.75	 0.77272725	 0.761194
-B-FISCAL_YEAR	 1	 1	 0	 0.5	 1.0	 0.6666667
-I-EXPENSE_DECREASE	 3	 3	 2	 0.5	 0.6	 0.54545456
-I-FCF	 26	 9	 0	 0.74285716	 1.0	 0.852459
-I-REVENUE	 45	 12	 18	 0.7894737	 0.71428573	 0.75000006
-I-EXPENSE_INCREASE	 8	 0	 3	 1.0	 0.72727275	 0.84210527
-Macro-average 2611 311 491 0.6658762 0.6029909 0.63287526
-Micro-average 2611 311 491 0.8935661 0.84171504 0.8668659
+
+label                  tp    fp   fn   prec        rec          f1         
+I-REVENUE_INCREASE     53    16   52   0.76811594  0.50476193   0.6091954  
+I-AMOUNT               382   2    4    0.9947917   0.9896373    0.9922078  
+B-COUNT                14    9    1    0.6086956   0.93333334   0.73684216 
+B-AMOUNT               454   0    5    1.0         0.9891068    0.9945236  
+I-KPI                  2     11   23   0.15384616  0.08         0.10526316 
+I-ORG                  16    0    0    1.0         1.0          1.0        
+B-DATE                 122   13   0    0.9037037   1.0          0.94941634 
+B-LIABILITY_DECREASE   1     1    0    0.5         1.0          0.6666667  
+I-DATE                 3     2    0    0.6         1.0          0.75       
+B-LOSS                 4     0    4    1.0         0.5          0.6666667  
+I-ASSET                6     2    14   0.75        0.3          0.42857146 
+I-EXPENSE              46    13   59   0.77966     0.43809524   0.5609756  
+I-KPI_INCREASE         1     7    13   0.125       0.071428575  0.09090909 
+B-REVENUE_INCREASE     60    21   34   0.7407407   0.63829786   0.6857143  
+I-COUNT                13    6    0    0.68421054  1.0          0.8125     
+I-CFO                  23    1    0    0.9583333   1.0          0.9787234  
+B-FCF                  13    4    0    0.7647059   1.0          0.8666667  
+B-PROFIT_INCREASE      11    11   5    0.5         0.6875       0.57894737 
+B-EXPENSE              26    16   45   0.61904764  0.36619717   0.460177   
+B-REVENUE_DECLINE      6     4    13   0.6         0.31578946   0.41379312 
+B-STOCKHOLDERS_EQUITY  3     0    3    1.0         0.5          0.6666667  
+I-PROFIT_DECLINE       4     1    7    0.8         0.36363637   0.5        
+I-LIABILITY_DECREASE   1     1    0    0.5         1.0          0.6666667  
+I-LOSS                 12    0    10   1.0         0.54545456   0.7058824  
+I-PROFIT               148   40   10   0.78723407  0.93670887   0.8554913  
+B-CFO                  9     1    1    0.9         0.9          0.9        
+B-CURRENCY             440   0    1    1.0         0.9977324    0.9988649  
+I-PROFIT_INCREASE      11    10   6    0.52380955  0.64705884   0.5789474  
+I-CURRENCY             6     0    0    1.0         1.0          1.0        
+B-PROFIT               93    27   16   0.775       0.853211     0.812227   
+B-PERCENTAGE           418   7    3    0.9835294   0.9928741    0.9881796  
+B-TICKER               13    0    0    1.0         1.0          1.0        
+I-FISCAL_YEAR          2     3    1    0.4         0.6666667    0.5        
+B-ORG                  14    0    0    1.0         1.0          1.0        
+I-STOCKHOLDERS_EQUITY  6     0    2    1.0         0.75         0.85714287 
+I-REVENUE_DECLINE      8     9    8    0.47058824  0.5          0.4848485  
+B-EXPENSE_INCREASE     6     0    4    1.0         0.6          0.75       
+B-REVENUE              51    17   15   0.75        0.77272725   0.761194   
+B-FISCAL_YEAR          1     1    0    0.5         1.0          0.6666667  
+I-EXPENSE_DECREASE     3     3    2    0.5         0.6          0.54545456 
+I-FCF                  26    9    0    0.74285716  1.0          0.852459   
+I-REVENUE              45    12   18   0.7894737   0.71428573   0.75000006 
+I-EXPENSE_INCREASE     8     0    3    1.0         0.72727275   0.84210527 
+Macro-average          2611  311  491  0.6658762   0.6029909    0.63287526 
+Micro-average          2611  311  91   0.8935661   0.84171504   0.8668659 
+
 ```
diff --git a/docs/_posts/dcecchini/2022-11-30-finner_financial_xlarge_en.md b/docs/_posts/dcecchini/2022-11-30-finner_financial_xlarge_en.md
index 7f5e40183b580a..a34a88a029ca32 100644
--- a/docs/_posts/dcecchini/2022-11-30-finner_financial_xlarge_en.md
+++ b/docs/_posts/dcecchini/2022-11-30-finner_financial_xlarge_en.md
@@ -183,48 +183,48 @@ In-house annotations on Earning Calls and 10-K Filings combined.
 ## Benchmarking
 
 ```bash
-label	 tp	 fp	 fn	 prec	 rec	 f1
-B-LIABILITY_INCREASE	 1	 0	 0	 1.0	 1.0	 1.0
-I-AMOUNT	 915	 97	 8	 0.9041502	 0.9913326	 0.9457364
-B-COUNT	 7	 1	 2	 0.875	 0.7777778	 0.8235294
-I-LIABILITY_INCREASE	 1	 0	 0	 1.0	 1.0	 1.0
-B-AMOUNT	 1304	 124	 19	 0.9131653	 0.9856387	 0.9480189
-I-KPI	 2	 0	 7	 1.0	 0.22222222	 0.36363637
-B-DATE	 525	 32	 44	 0.94254935	 0.9226714	 0.9325044
-I-LIABILITY	 156	 49	 97	 0.7609756	 0.6166008	 0.68122274
-I-DATE	 343	 12	 36	 0.9661972	 0.9050132	 0.93460494
-B-CF_DECREASE	 6	 1	 3	 0.85714287	 0.6666667	 0.75
-I-EXPENSE	 270	 86	 74	 0.75842696	 0.78488374	 0.77142864
-I-KPI_INCREASE	 0	 0	 1	 0.0	 0.0	 0.0
-B-LIABILITY	 82	 30	 46	 0.73214287	 0.640625	 0.6833333
-I-CF	 420	 97	 84	 0.8123791	 0.8333333	 0.82272285
-I-CF_DECREASE	 17	 3	 12	 0.85	 0.5862069	 0.6938776
-I-COUNT	 7	 0	 0	 1.0	 1.0	 1.0
-B-FCF	 5	 0	 0	 1.0	 1.0	 1.0
-B-PROFIT_INCREASE	 54	 23	 22	 0.7012987	 0.7105263	 0.7058824
-B-KPI_INCREASE	 1	 0	 2	 1.0	 0.33333334	 0.5
-B-EXPENSE	 118	 42	 36	 0.7375	 0.76623374	 0.75159234
-I-CF_INCREASE	 43	 0	 17	 1.0	 0.71666664	 0.8349514
-I-PERCENTAGE	 4	 6	 0	 0.4	 1.0	 0.5714286
-I-PROFIT_DECLINE	 39	 11	 4	 0.78	 0.90697676	 0.8387097
-I-KPI_DECREASE	 1	 1	 0	 0.5	 1.0	 0.6666667
-B-CF_INCREASE	 23	 0	 2	 1.0	 0.92	 0.9583333
-I-PROFIT	 228	 118	 19	 0.6589595	 0.9230769	 0.7689713
-B-CURRENCY	 943	 42	 12	 0.9573604	 0.98743457	 0.972165
-I-PROFIT_INCREASE	 80	 34	 16	 0.7017544	 0.8333333	 0.7619047
-B-CF	 118	 32	 29	 0.7866667	 0.8027211	 0.7946128
-B-PROFIT	 134	 55	 23	 0.7089947	 0.85350317	 0.7745664
-B-PERCENTAGE	 281	 17	 7	 0.942953	 0.9756944	 0.95904434
-B-TICKER	 2	 0	 0	 1.0	 1.0	 1.0
-I-FISCAL_YEAR	 585	 17	 27	 0.9717608	 0.9558824	 0.9637562
-B-ORG	 2	 0	 0	 1.0	 1.0	 1.0
-B-PROFIT_DECLINE	 22	 5	 8	 0.8148148	 0.73333335	 0.7719298
-B-EXPENSE_INCREASE	 35	 7	 4	 0.8333333	 0.8974359	 0.86419755
-B-EXPENSE_DECREASE	 23	 3	 4	 0.88461536	 0.8518519	 0.8679245
-B-FISCAL_YEAR	 195	 6	 12	 0.9701493	 0.942029	 0.9558824
-I-EXPENSE_DECREASE	 46	 9	 16	 0.8363636	 0.7419355	 0.78632486
-I-FCF	 10	 0	 0	 1.0	 1.0	 1.0
-I-EXPENSE_INCREASE	 83	 13	 9	 0.8645833	 0.90217394	 0.88297874
-Macro-average 7134 977 728 0.77496254 0.72599226 0.74967855
-Micro-average 7134 977 728 0.8795463 0.9074027 0.8932574
+label                 tp    fp   fn   prec        rec         f1         
+B-LIABILITY_INCREASE  1     0    0    1.0         1.0         1.0        
+I-AMOUNT              915   97   8    0.9041502   0.9913326   0.9457364  
+B-COUNT               7     1    2    0.875       0.7777778   0.8235294  
+I-LIABILITY_INCREASE  1     0    0    1.0         1.0         1.0        
+B-AMOUNT              1304  124  19   0.9131653   0.9856387   0.9480189  
+I-KPI                 2     0    7    1.0         0.22222222  0.36363637 
+B-DATE                525   32   44   0.94254935  0.9226714   0.9325044  
+I-LIABILITY           156   49   97   0.7609756   0.6166008   0.68122274 
+I-DATE                343   12   36   0.9661972   0.9050132   0.93460494 
+B-CF_DECREASE         6     1    3    0.85714287  0.6666667   0.75       
+I-EXPENSE             270   86   74   0.75842696  0.78488374  0.77142864 
+I-KPI_INCREASE        0     0    1    0.0         0.0         0.0        
+B-LIABILITY           82    30   46   0.73214287  0.640625    0.6833333  
+I-CF                  420   97   84   0.8123791   0.8333333   0.82272285 
+I-CF_DECREASE         17    3    12   0.85        0.5862069   0.6938776  
+I-COUNT               7     0    0    1.0         1.0         1.0        
+B-FCF                 5     0    0    1.0         1.0         1.0        
+B-PROFIT_INCREASE     54    23   22   0.7012987   0.7105263   0.7058824  
+B-KPI_INCREASE        1     0    2    1.0         0.33333334  0.5        
+B-EXPENSE             118   42   36   0.7375      0.76623374  0.75159234 
+I-CF_INCREASE         43    0    17   1.0         0.71666664  0.8349514  
+I-PERCENTAGE          4     6    0    0.4         1.0         0.5714286  
+I-PROFIT_DECLINE      39    11   4    0.78        0.90697676  0.8387097  
+I-KPI_DECREASE        1     1    0    0.5         1.0         0.6666667  
+B-CF_INCREASE         23    0    2    1.0         0.92        0.9583333  
+I-PROFIT              228   118  19   0.6589595   0.9230769   0.7689713  
+B-CURRENCY            943   42   12   0.9573604   0.98743457  0.972165   
+I-PROFIT_INCREASE     80    34   16   0.7017544   0.8333333   0.7619047  
+B-CF                  118   32   29   0.7866667   0.8027211   0.7946128  
+B-PROFIT              134   55   23   0.7089947   0.85350317  0.7745664  
+B-PERCENTAGE          281   17   7    0.942953    0.9756944   0.95904434 
+B-TICKER              2     0    0    1.0         1.0         1.0        
+I-FISCAL_YEAR         585   17   27   0.9717608   0.9558824   0.9637562  
+B-ORG                 2     0    0    1.0         1.0         1.0        
+B-PROFIT_DECLINE      22    5    8    0.8148148   0.73333335  0.7719298  
+B-EXPENSE_INCREASE    35    7    4    0.8333333   0.8974359   0.86419755 
+B-EXPENSE_DECREASE    23    3    4    0.88461536  0.8518519   0.8679245  
+B-FISCAL_YEAR         195   6    12   0.9701493   0.942029    0.9558824  
+I-EXPENSE_DECREASE    46    9    16   0.8363636   0.7419355   0.78632486 
+I-FCF                 10    0    0    1.0         1.0         1.0        
+I-EXPENSE_INCREASE    83    13   9    0.8645833   0.90217394  0.88297874 
+Macro-average         7134  977  728  0.77496254  0.72599226  0.74967855 
+Micro-average         7134  977  728  0.8795463   0.9074027   0.8932574 
 ```
diff --git a/docs/_posts/dcecchini/2022-12-15-finner_contraliability_en.md b/docs/_posts/dcecchini/2022-12-15-finner_contraliability_en.md
index 5b81943d857470..fc058e00eda1a5 100644
--- a/docs/_posts/dcecchini/2022-12-15-finner_contraliability_en.md
+++ b/docs/_posts/dcecchini/2022-12-15-finner_contraliability_en.md
@@ -152,13 +152,14 @@ In-house annotations on Earning Calls and 10-K Filings combined.
 ## Benchmarking
 
 ```bash
-| label              | precision | recall | f1-score | support |
-|--------------------|-----------|--------|----------|---------|
-| B-CONTRA_LIABILITY | 0.7660    | 0.7200 | 0.7423   | 50      |
-| B-LIABILITY        | 0.8947    | 0.8990 | 0.8969   | 208     |
-| I-CONTRA_LIABILITY | 0.7838    | 0.6304 | 0.6988   | 46      |
-| I-LIABILITY        | 0.8780    | 0.8929 | 0.8854   | 411     |
-| accuracy           | -         | -      | 0.9805   | 8299    |
-| macro-avg          | 0.8626    | 0.8267 | 0.8429   | 8299    |
-| weighted-avg       | 0.9803    | 0.9805 | 0.9803   | 8299    |
+
+label               precision  recall  f1-score  support 
+B-CONTRA_LIABILITY  0.7660     0.7200  0.7423    50      
+B-LIABILITY         0.8947     0.8990  0.8969    208     
+I-CONTRA_LIABILITY  0.7838     0.6304  0.6988    46      
+I-LIABILITY         0.8780     0.8929  0.8854    411     
+accuracy            -          -       0.9805    8299    
+macro-avg           0.8626     0.8267  0.8429    8299    
+weighted-avg        0.9803     0.9805  0.9803    8299
+
 ```
diff --git a/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_generic_md_en.md b/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_generic_md_en.md
index 673caf8dfb7a03..b2b50a8e447fff 100644
--- a/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_generic_md_en.md
+++ b/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_generic_md_en.md
@@ -184,31 +184,32 @@ In-house annotations on Earning Calls.
 ## Benchmarking
 
 ```bash
-|             entity |  precision |     recall |        f1 | support |
-|-------------------:|-----------:|-----------:|----------:|--------:|
-|             AMOUNT |  99.476440 |  99.650350 | 99.563319 |     573 |
-|              ASSET |  54.838710 |  50.000000 | 52.307692 |      31 |
-|     ASSET_INCREASE | 100.000000 |  33.333333 | 50.000000 |       1 |
-|                 CF |  44.827586 |  54.166667 | 49.056604 |      29 |
-|              COUNT |  61.290323 |  86.363636 | 71.698113 |      31 |
-|           CURRENCY |  99.095841 |  99.636364 | 99.365367 |     553 |
-|               DATE |  88.304094 |  96.178344 | 92.073171 |     171 |
-|            EXPENSE |  66.666667 |  50.602410 | 57.534247 |      63 |
-|   EXPENSE_DECREASE | 100.000000 |  60.000000 | 75.000000 |       3 |
-|   EXPENSE_INCREASE |  55.555556 |  55.555556 | 55.555556 |       9 |
-|                FCF |  78.947368 |  75.000000 | 76.923077 |      19 |
-|                KPI |  31.578947 |  28.571429 | 30.000000 |      19 |
-|       KPI_DECREASE |  33.333333 |  20.000000 | 25.000000 |       6 |
-|       KPI_INCREASE |  53.333333 |  38.095238 | 44.444444 |      15 |
-|          LIABILITY |  41.666667 |  47.619048 | 44.444444 |      24 |
-| LIABILITY_DECREASE | 100.000000 |  33.333333 | 50.000000 |       1 |
-|                ORG |  95.000000 |  95.000000 | 95.000000 |      20 |
-|         PERCENTAGE |  98.951049 |  99.472759 | 99.211218 |     572 |
-|             PROFIT |  77.973568 |  78.666667 | 78.318584 |     227 |
-|     PROFIT_DECLINE |  48.648649 |  48.648649 | 48.648649 |      37 |
-|    PROFIT_INCREASE |  69.285714 |  66.896552 | 68.070175 |     140 |
-|             TICKER |  94.736842 | 100.000000 | 97.297297 |      19 |
-| accuracy           |     -      |     -      | 0.9585    | 19083   |
-| macro avg          | 0.6513     | 0.5875     | 0.6067    | 19083   |
-| weighted avg       | 0.9577     | 0.9585     | 0.9577    | 19083   |
+
+label               precision   recall      f1         support 
+AMOUNT              99.476440   99.650350   99.563319  573     
+ASSET               54.838710   50.000000   52.307692  31      
+ASSET_INCREASE      100.000000  33.333333   50.000000  1       
+CF                  44.827586   54.166667   49.056604  29      
+COUNT               61.290323   86.363636   71.698113  31      
+CURRENCY            99.095841   99.636364   99.365367  553     
+DATE                88.304094   96.178344   92.073171  171     
+EXPENSE             66.666667   50.602410   57.534247  63      
+EXPENSE_DECREASE    100.000000  60.000000   75.000000  3       
+EXPENSE_INCREASE    55.555556   55.555556   55.555556  9       
+FCF                 78.947368   75.000000   76.923077  19      
+KPI                 31.578947   28.571429   30.000000  19      
+KPI_DECREASE        33.333333   20.000000   25.000000  6       
+KPI_INCREASE        53.333333   38.095238   44.444444  15      
+LIABILITY           41.666667   47.619048   44.444444  24      
+LIABILITY_DECREASE  100.000000  33.333333   50.000000  1       
+ORG                 95.000000   95.000000   95.000000  20      
+PERCENTAGE          98.951049   99.472759   99.211218  572     
+PROFIT              77.973568   78.666667   78.318584  227     
+PROFIT_DECLINE      48.648649   48.648649   48.648649  37      
+PROFIT_INCREASE     69.285714   66.896552   68.070175  140     
+TICKER              94.736842   100.000000  97.297297  19      
+accuracy            -           -           0.9585     19083   
+macro-avg           0.6513      0.5875      0.6067     19083   
+weighted-avg        0.9577      0.9585      0.9577     19083
+
 ```
diff --git a/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_specific_md_en.md b/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_specific_md_en.md
index cf047ae968d9fa..8a2697181693fc 100644
--- a/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_specific_md_en.md
+++ b/docs/_posts/dcecchini/2022-12-15-finner_earning_calls_specific_md_en.md
@@ -192,39 +192,40 @@ In-house annotations on Earning Calls.
 ## Benchmarking
 
 ```bash
-|              entity |  precision |     recall |        f1 | support |
-|--------------------:|-----------:|-----------:|----------:|--------:|
-|              AMOUNT |  99.303136 |  99.650350 | 99.476440 |     574 |
-|               ASSET |  55.172414 |  47.058824 | 50.793651 |      29 |
-|      ASSET_INCREASE | 100.000000 |  33.333333 | 50.000000 |       1 |
-|                  CF |  46.153846 |  70.588235 | 55.813953 |      26 |
-|                 CFO |  77.777778 | 100.000000 | 87.500000 |       9 |
-|    CONTRA_LIABILITY |  52.380952 |  56.410256 | 54.320988 |      42 |
-|               COUNT |  65.384615 |  77.272727 | 70.833333 |      26 |
-|            CURRENCY |  98.916968 |  99.636364 | 99.275362 |     554 |
-|                DATE |  86.982249 |  93.630573 | 90.184049 |     169 |
-|             EXPENSE |  67.187500 |  57.333333 | 61.870504 |      64 |
-|    EXPENSE_DECREASE | 100.000000 |  60.000000 | 75.000000 |       3 |
-|    EXPENSE_INCREASE |  40.000000 |  44.444444 | 42.105263 |      10 |
-|                 FCF |  75.000000 |  75.000000 | 75.000000 |      20 |
-|              INCOME |  60.000000 |  40.000000 | 48.000000 |      10 |
-|                 KPI |  41.666667 |  23.809524 | 30.303030 |      12 |
-|        KPI_DECREASE |  20.000000 |  10.000000 | 13.333333 |       5 |
-|        KPI_INCREASE |  44.444444 |  38.095238 | 41.025641 |      18 |
-|           LIABILITY |  38.461538 |  38.461538 | 38.461538 |      13 |
-|  LIABILITY_DECREASE |  50.000000 |  66.666667 | 57.142857 |       4 |
-|                LOSS |  50.000000 |  37.500000 | 42.857143 |       6 |
-|                 ORG |  94.736842 |  90.000000 | 92.307692 |      19 |
-|          PERCENTAGE |  99.299475 |  99.648506 | 99.473684 |     571 |
-|              PROFIT |  78.014184 |  85.937500 | 81.784387 |     141 |
-|      PROFIT_DECLINE | 100.000000 |  36.363636 | 53.333333 |       4 |
-|     PROFIT_INCREASE |  78.947368 |  75.000000 | 76.923077 |      19 |
-|             REVENUE |  64.835165 |  71.951220 | 68.208092 |      91 |
-|     REVENUE_DECLINE |  53.571429 |  57.692308 | 55.555556 |      28 |
-|    REVENUE_INCREASE |  65.734266 |  75.200000 | 70.149254 |     143 |
-| STOCKHOLDERS_EQUITY |  60.000000 |  37.500000 | 46.153846 |       5 |
-|              TICKER |  94.444444 |  94.444444 | 94.444444 |      18 |
-| accuracy            |  -         |  -         | 0.9571    | 19083   |
-| macro avg           |  0.6660    |  0.5900    | 0.6070    | 19083   |
-| weighted avg        |  0.9575    |  0.9571    | 0.9563    | 19083   |
+
+label                precision   recall      f1         support 
+AMOUNT               99.303136   99.650350   99.476440  574     
+ASSET                55.172414   47.058824   50.793651  29      
+ASSET_INCREASE       100.000000  33.333333   50.000000  1       
+CF                   46.153846   70.588235   55.813953  26      
+CFO                  77.777778   100.000000  87.500000  9       
+CONTRA_LIABILITY     52.380952   56.410256   54.320988  42      
+COUNT                65.384615   77.272727   70.833333  26      
+CURRENCY             98.916968   99.636364   99.275362  554     
+DATE                 86.982249   93.630573   90.184049  169     
+EXPENSE              67.187500   57.333333   61.870504  64      
+EXPENSE_DECREASE     100.000000  60.000000   75.000000  3       
+EXPENSE_INCREASE     40.000000   44.444444   42.105263  10      
+FCF                  75.000000   75.000000   75.000000  20      
+INCOME               60.000000   40.000000   48.000000  10      
+KPI                  41.666667   23.809524   30.303030  12      
+KPI_DECREASE         20.000000   10.000000   13.333333  5       
+KPI_INCREASE         44.444444   38.095238   41.025641  18      
+LIABILITY            38.461538   38.461538   38.461538  13      
+LIABILITY_DECREASE   50.000000   66.666667   57.142857  4       
+LOSS                 50.000000   37.500000   42.857143  6       
+ORG                  94.736842   90.000000   92.307692  19      
+PERCENTAGE           99.299475   99.648506   99.473684  571     
+PROFIT               78.014184   85.937500   81.784387  141     
+PROFIT_DECLINE       100.000000  36.363636   53.333333  4       
+PROFIT_INCREASE      78.947368   75.000000   76.923077  19      
+REVENUE              64.835165   71.951220   68.208092  91      
+REVENUE_DECLINE      53.571429   57.692308   55.555556  28      
+REVENUE_INCREASE     65.734266   75.200000   70.149254  143     
+STOCKHOLDERS_EQUITY  60.000000   37.500000   46.153846  5       
+TICKER               94.444444   94.444444   94.444444  18      
+accuracy             -           -           0.9571     19083   
+macro-avg            0.6660      0.5900      0.6070     19083   
+weighted-avg         0.9575      0.9571      0.9563     19083
+
 ```
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_agreement_bert_en.md
index 7b33780a616936..dc21c92fc217a0 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|        label |   precision |   recall |   f1-score |   support |
-|-------------:|------------:|---------:|-----------:|----------:|
-|    agreement |        0.75 |     0.71 |       0.73 |        90 |
-|        other |        0.88 |     0.90 |       0.89 |       204 |
-|     accuracy |           - |        - |       0.84 |       294 |
-|    macro-avg |        0.81 |     0.80 |       0.81 |       294 |
-| weighted-avg |        0.84 |     0.84 |       0.84 |       294 |
+        label    precision    recall    f1-score    support 
+    agreement         0.75      0.71        0.73         90 
+        other         0.88      0.90        0.89        204 
+     accuracy            -         -        0.84        294 
+    macro-avg         0.81      0.80        0.81        294 
+ weighted-avg         0.84      0.84        0.84        294 
+ 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_agreement_en.md
index f83e1a42c57272..0f0b240ed1086e 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_agreement_en.md
@@ -115,11 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|        label |   precision |   recall |   f1-score |   support |
-|-------------:|------------:|---------:|-----------:|----------:|
-|    agreement |        0.88 |     0.85 |       0.86 |        99 |
-|        other |        0.93 |     0.94 |       0.94 |       207 |
-|     accuracy |           - |        - |       0.91 |       306 |
-|    macro-avg |        0.90 |     0.90 |        0.9 |       306 |
-| weighted-avg |        0.91 |     0.91 |       0.91 |       306 |
+        label    precision    recall    f1-score    support 
+    agreement         0.88      0.85        0.86         99 
+        other         0.93      0.94        0.94        207 
+     accuracy            -         -        0.91        306 
+    macro-avg         0.90      0.90         0.9        306 
+ weighted-avg         0.91      0.91        0.91        306
+ 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_applicable_law_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_applicable_law_clause_en.md
index 7873449fdbcdda..fbbb7fb11bd06f 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_applicable_law_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_applicable_law_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|          label |   precision |   recall |   f1-score |   support |
-|---------------:|------------:|---------:|-----------:|----------:|
-| applicable-law |        1.00 |     1.00 |          1 |        28 |
-|          other |        1.00 |     1.00 |          1 |        39 |
-|       accuracy |           - |        - |          1 |        67 |
-|      macro-avg |        1.00 |     1.00 |          1 |        67 |
-|   weighted-avg |        1.00 |     1.00 |          1 |        67 |
+          label    precision    recall    f1-score    support 
+ applicable-law         1.00      1.00      1.00         28 
+          other         1.00      1.00      1.00         39 
+       accuracy            -         -      1.00         67 
+      macro-avg         1.00      1.00      1.00         67 
+   weighted-avg         1.00      1.00      1.00         67  
+   
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_confidential_information_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_confidential_information_clause_en.md
index 3851a173620754..5ec44771a5061f 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_confidential_information_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_confidential_information_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                    label |   precision |   recall |   f1-score |   support |
-|-------------------------:|------------:|---------:|-----------:|----------:|
-| confidential-information |        1.00 |     1.00 |          1 |        25 |
-|                    other |        1.00 |     1.00 |          1 |        39 |
-|                 accuracy |           - |        - |          1 |        64 |
-|                macro-avg |        1.00 |     1.00 |          1 |        64 |
-|             weighted-avg |        1.00 |     1.00 |          1 |        64 |
+                    label    precision    recall    f1-score    support 
+ confidential-information         1.00      1.00       1.00        25 
+                    other         1.00      1.00       1.00        39 
+                 accuracy            -         -       1.00        64 
+                macro-avg         1.00      1.00       1.00        64 
+             weighted-avg         1.00      1.00       1.00        64 
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_defined_terms_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_defined_terms_clause_en.md
index 94c24815f8f04f..67cd29f4f8a9d9 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_defined_terms_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_defined_terms_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|         label |   precision |   recall |   f1-score |   support |
-|--------------:|------------:|---------:|-----------:|----------:|
-| defined-terms |        1.00 |     0.96 |       0.98 |        28 |
-|         other |        0.97 |     1.00 |       0.99 |        39 |
-|      accuracy |           - |        - |       0.99 |        67 |
-|     macro-avg |        0.99 |     0.98 |       0.98 |        67 |
-|  weighted-avg |        0.99 |     0.99 |       0.99 |        67 |
+         label    precision    recall    f1-score    support 
+ defined-terms         1.00      0.96        0.98         28 
+         other         0.97      1.00        0.99         39 
+      accuracy            -         -        0.99         67 
+     macro-avg         0.99      0.98        0.98         67 
+  weighted-avg         0.99      0.99        0.99         67 
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_events_of_default_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_events_of_default_clause_en.md
index 0711fc0479e2ea..1add3b5766e0de 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_events_of_default_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_events_of_default_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|             label |   precision |   recall |   f1-score |   support |
-|------------------:|------------:|---------:|-----------:|----------:|
-| events-of-default |        0.92 |     0.96 |       0.94 |        24 |
-|             other |        0.97 |     0.95 |       0.96 |        39 |
-|          accuracy |           - |        - |       0.95 |        63 |
-|         macro-avg |        0.95 |     0.95 |       0.95 |        63 |
-|      weighted-avg |        0.95 |     0.95 |       0.95 |        63 |
+             label    precision    recall    f1-score    support 
+ events-of-default         0.92      0.96        0.94         24 
+             other         0.97      0.95        0.96         39 
+          accuracy            -         -        0.95         63 
+         macro-avg         0.95      0.95        0.95         63 
+      weighted-avg         0.95      0.95        0.95         63 
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_general_provisions_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_general_provisions_clause_en.md
index dd3827f59a7473..3f92c6d135ff56 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_general_provisions_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_general_provisions_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|              label |   precision |   recall |   f1-score |   support |
-|-------------------:|------------:|---------:|-----------:|----------:|
-| general-provisions |        1.00 |     0.81 |        0.9 |        27 |
-|              other |        0.89 |     1.00 |       0.94 |        39 |
-|           accuracy |           - |        - |       0.92 |        66 |
-|          macro-avg |        0.94 |     0.91 |       0.92 |        66 |
-|       weighted-avg |        0.93 |     0.92 |       0.92 |        66 |
+              label    precision    recall    f1-score    support 
+ general-provisions         1.00      0.81         0.9         27 
+              other         0.89      1.00        0.94         39 
+           accuracy            -         -        0.92         66 
+          macro-avg         0.94      0.91        0.92         66 
+       weighted-avg         0.93      0.92        0.92         66
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_bert_en.md
index f15a66b4f2da9f..50ec9b96c74d5a 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_bert_en.md
@@ -102,11 +102,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|        label |   precision |   recall |   f1-score |   support |
-|-------------:|------------:|---------:|-----------:|----------:|
-|    indenture |        0.96 |     0.93 |       0.94 |        97 |
-|        other |        0.97 |     0.98 |       0.97 |       204 |
-|     accuracy |           - |        - |       0.96 |       301 |
-|    macro-avg |        0.96 |     0.95 |       0.96 |       301 |
-| weighted-avg |        0.96 |     0.96 |       0.96 |       301 |
+        label    precision    recall    f1-score    support 
+    indenture         0.96      0.93        0.94         97 
+        other         0.97      0.98        0.97        204 
+     accuracy            -         -        0.96        301 
+    macro-avg         0.96      0.95        0.96        301 
+ weighted-avg         0.96      0.96        0.96        301
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_en.md
index c857ed3a84f61a..999906fc6891c4 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_indenture_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|        label |   precision |   recall |   f1-score |   support |
-|-------------:|------------:|---------:|-----------:|----------:|
-|    indenture |        0.90 |     0.94 |       0.92 |       113 |
-|        other |        0.96 |     0.94 |       0.95 |       188 |
-|     accuracy |           - |        - |       0.94 |       301 |
-|    macro-avg |        0.93 |     0.94 |       0.93 |       301 |
-| weighted-avg |        0.94 |     0.94 |       0.94 |       301 |
+        label    precision    recall    f1-score    support 
+    indenture         0.90      0.94        0.92        113 
+        other         0.96      0.94        0.95        188 
+     accuracy            -         -        0.94        301 
+    macro-avg         0.93      0.94        0.93        301 
+ weighted-avg         0.94      0.94        0.94        301
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_bert_en.md
index 3e874f43ef9669..33cff6b70f1c95 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|             label |   precision |   recall |   f1-score |   support |
-|------------------:|------------:|---------:|-----------:|----------:|
-| license-agreement |        0.95 |     0.97 |       0.96 |       103 |
-|             other |        0.99 |     0.98 |       0.98 |       204 |
-|          accuracy |           - |        - |       0.97 |       307 |
-|         macro-avg |        0.97 |     0.97 |       0.97 |       307 |
-|      weighted-avg |        0.97 |     0.97 |       0.97 |       307 |
+             label    precision    recall    f1-score    support 
+ license-agreement         0.95      0.97        0.96        103 
+             other         0.99      0.98        0.98        204 
+          accuracy            -         -        0.97        307 
+         macro-avg         0.97      0.97        0.97        307 
+      weighted-avg         0.97      0.97        0.97        307
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_en.md
index 6c2210157b7301..26e9792f9e7928 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_license_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|             label |   precision |   recall |   f1-score |   support |
-|------------------:|------------:|---------:|-----------:|----------:|
-| license-agreement |        0.97 |     0.96 |       0.96 |        98 |
-|             other |        0.98 |     0.99 |       0.98 |       223 |
-|          accuracy |           - |        - |       0.98 |       321 |
-|         macro-avg |        0.98 |     0.97 |       0.97 |       321 |
-|      weighted-avg |        0.98 |     0.98 |       0.98 |       321 |
+             label    precision    recall    f1-score    support 
+ license-agreement         0.97      0.96        0.96         98 
+             other         0.98      0.99        0.98        223 
+          accuracy            -         -        0.98        321 
+         macro-avg         0.98      0.97        0.97        321 
+      weighted-avg         0.98      0.98        0.98        321
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_limitation_of_liability_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_limitation_of_liability_clause_en.md
index cc703e47144499..2ec12e29de1ef6 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_limitation_of_liability_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_limitation_of_liability_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                   label |   precision |   recall |   f1-score |   support |
-|------------------------:|------------:|---------:|-----------:|----------:|
-| limitation-of-liability |        0.93 |     0.90 |       0.91 |        29 |
-|                   other |        0.93 |     0.95 |       0.94 |        39 |
-|                accuracy |           - |        - |       0.93 |        68 |
-|               macro-avg |        0.93 |     0.92 |       0.92 |        68 |
-|            weighted-avg |        0.93 |     0.93 |       0.93 |        68 |
+                   label    precision    recall    f1-score    support 
+ limitation-of-liability         0.93      0.90        0.91         29 
+                   other         0.93      0.95        0.94         39 
+                accuracy            -         -        0.93         68 
+               macro-avg         0.93      0.92        0.92         68 
+            weighted-avg         0.93      0.93        0.93         68
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_bert_en.md
index a5349d0993838e..d249f9a04d69ca 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                               label |   precision |   recall |   f1-score |   support |
-|------------------------------------:|------------:|---------:|-----------:|----------:|
-| limited-liability-company-agreement |        0.98 |     0.98 |       0.98 |       121 |
-|                               other |        0.99 |     0.99 |       0.99 |       204 |
-|                            accuracy |           - |        - |       0.98 |       325 |
-|                           macro-avg |        0.98 |     0.98 |       0.98 |       325 |
-|                        weighted-avg |        0.98 |     0.98 |       0.98 |       325 |
+                               label    precision    recall    f1-score    support 
+ limited-liability-company-agreement         0.98      0.98        0.98        121 
+                               other         0.99      0.99        0.99        204 
+                            accuracy            -         -        0.98        325 
+                           macro-avg         0.98      0.98        0.98        325 
+                        weighted-avg         0.98      0.98        0.98        325
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_en.md
index 0d51f8c0b8a6bb..429b15be2ffbfc 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_limited_liability_company_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                               label |   precision |   recall |   f1-score |   support |
-|------------------------------------:|------------:|---------:|-----------:|----------:|
-| limited-liability-company-agreement |        1.00 |     0.96 |       0.98 |        98 |
-|                               other |        0.98 |     1.00 |       0.99 |       231 |
-|                            accuracy |           - |        - |       0.99 |       329 |
-|                           macro-avg |        0.99 |     0.98 |       0.99 |       329 |
-|                        weighted-avg |        0.99 |     0.99 |       0.99 |       329 |
+                               label    precision    recall    f1-score    support 
+ limited-liability-company-agreement         1.00      0.96        0.98         98 
+                               other         0.98      1.00        0.99        231 
+                            accuracy            -         -        0.99        329 
+                           macro-avg         0.99      0.98        0.99        329 
+                        weighted-avg         0.99      0.99        0.99        329
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_bert_en.md
index c9d1d449e0c11d..761d0e0c69ca75 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                label |   precision |   recall |   f1-score |   support |
-|---------------------:|------------:|---------:|-----------:|----------:|
-| management-agreement |        0.94 |     0.94 |       0.94 |       110 |
-|                other |        0.97 |     0.97 |       0.97 |       204 |
-|             accuracy |           - |        - |       0.96 |       314 |
-|            macro-avg |        0.96 |     0.95 |       0.95 |       314 |
-|         weighted-avg |        0.96 |     0.96 |       0.96 |       314 |
+                label    precision    recall    f1-score    support 
+ management-agreement         0.94      0.94        0.94        110 
+                other         0.97      0.97        0.97        204 
+             accuracy            -         -        0.96        314 
+            macro-avg         0.96      0.95        0.95        314 
+         weighted-avg         0.96      0.96        0.96        314
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_en.md
index 556bc7d039838f..fc7b853c38b738 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_management_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                label |   precision |   recall |   f1-score |   support |
-|---------------------:|------------:|---------:|-----------:|----------:|
-| management-agreement |        0.95 |     0.93 |       0.94 |       115 |
-|                other |        0.96 |     0.97 |       0.96 |       184 |
-|             accuracy |           - |        - |       0.95 |       299 |
-|            macro-avg |        0.95 |     0.95 |       0.95 |       299 |
-|         weighted-avg |        0.95 |     0.95 |       0.95 |       299 |
+                label    precision    recall    f1-score    support 
+ management-agreement         0.95      0.93        0.94        115 
+                other         0.96      0.97        0.96        184 
+             accuracy            -         -        0.95        299 
+            macro-avg         0.95      0.95        0.95        299 
+         weighted-avg         0.95      0.95        0.95        299
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_bert_en.md
index 31b1d96ab7d3bd..db0981f3964513 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_bert_en.md
@@ -102,11 +102,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                         label |   precision |   recall |   f1-score |   support |
-|------------------------------:|------------:|---------:|-----------:|----------:|
-|                         other |        0.95 |     0.98 |       0.96 |       204 |
-| registration-rights-agreement |        0.96 |     0.90 |       0.93 |       113 |
-|                      accuracy |           - |        - |       0.95 |       317 |
-|                     macro-avg |        0.96 |     0.94 |       0.95 |       317 |
-|                  weighted-avg |        0.95 |     0.95 |       0.95 |       317 |
+                         label    precision    recall    f1-score    support 
+                         other         0.95      0.98        0.96        204 
+ registration-rights-agreement         0.96      0.90        0.93        113 
+                      accuracy            -         -        0.95        317 
+                     macro-avg         0.96      0.94        0.95        317 
+                  weighted-avg         0.95      0.95        0.95        317
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_en.md
index d59cd4e0e86d75..05cfa054bc705d 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_registration_rights_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                         label |   precision |   recall |   f1-score |   support |
-|------------------------------:|------------:|---------:|-----------:|----------:|
-|                         other |        0.98 |     0.99 |       0.98 |       205 |
-| registration-rights-agreement |        0.98 |     0.95 |       0.97 |       108 |
-|                      accuracy |           - |        - |       0.98 |       313 |
-|                     macro-avg |        0.98 |     0.97 |       0.98 |       313 |
-|                  weighted-avg |        0.98 |     0.98 |       0.98 |       313 |
+                         label    precision    recall    f1-score    support 
+                         other         0.98      0.99        0.98        205 
+ registration-rights-agreement         0.98      0.95        0.97        108 
+                      accuracy            -         -        0.98        313 
+                     macro-avg         0.98      0.97        0.98        313 
+                  weighted-avg         0.98      0.98        0.98        313 
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_clause_en.md
index bf71cb4d66d74c..ebd105a89a8de8 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                          label |   precision |   recall |   f1-score |   support |
-|-------------------------------:|------------:|---------:|-----------:|----------:|
-|                          other |        0.92 |     0.90 |       0.91 |        39 |
-| representations-and-warranties |        0.86 |     0.89 |       0.88 |        28 |
-|                       accuracy |           - |        - |        0.9 |        67 |
-|                      macro-avg |        0.89 |     0.90 |       0.89 |        67 |
-|                   weighted-avg |        0.90 |     0.90 |        0.9 |        67 |
+                          label    precision    recall    f1-score    support 
+                          other         0.92      0.90        0.91         39 
+ representations-and-warranties         0.86      0.89        0.88         28 
+                       accuracy            -         -         0.9         67 
+                      macro-avg         0.89      0.90        0.89         67 
+                   weighted-avg         0.90      0.90         0.9         67
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_of_the_company_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_of_the_company_clause_en.md
index 822f1760b8e138..cd8ac0ef821fac 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_of_the_company_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_representations_and_warranties_of_the_company_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                                         label |   precision |   recall |   f1-score |   support |
-|----------------------------------------------:|------------:|---------:|-----------:|----------:|
-|                                         other |        0.97 |     1.00 |       0.99 |        39 |
-| representations-and-warranties-of-the-company |        1.00 |     0.96 |       0.98 |        28 |
-|                                      accuracy |           - |        - |       0.99 |        67 |
-|                                     macro-avg |        0.99 |     0.98 |       0.98 |        67 |
-|                                  weighted-avg |        0.99 |     0.99 |       0.99 |        67 |
+                                         label    precision    recall    f1-score    support 
+                                         other         0.97      1.00        0.99         39 
+ representations-and-warranties-of-the-company         1.00      0.96        0.98         28 
+                                      accuracy            -         -        0.99         67 
+                                     macro-avg         0.99      0.98        0.98         67 
+                                  weighted-avg         0.99      0.99        0.99         67 
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_bert_en.md
index 7c4abf779d263d..94e7f03aaf6ec4 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        0.99 |     0.99 |       0.99 |       204 |
-| stock-option-agreement |        0.97 |     0.97 |       0.97 |       107 |
-|               accuracy |           - |        - |       0.98 |       311 |
-|              macro-avg |        0.98 |     0.98 |       0.98 |       311 |
-|           weighted-avg |        0.98 |     0.98 |       0.98 |       311 |
+                  label    precision    recall    f1-score    support 
+                  other         0.99      0.99        0.99        204 
+ stock-option-agreement         0.97      0.97        0.97        107 
+               accuracy            -         -        0.98        311 
+              macro-avg         0.98      0.98        0.98        311 
+           weighted-avg         0.98      0.98        0.98        311
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_en.md
index 0eb4055bbe17ef..48b52bfc3ec323 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_stock_option_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        0.99 |     0.99 |       0.99 |       202 |
-| stock-option-agreement |        0.98 |     0.98 |       0.98 |       100 |
-|               accuracy |           - |        - |       0.99 |       302 |
-|              macro-avg |        0.99 |     0.99 |       0.99 |       302 |
-|           weighted-avg |        0.99 |     0.99 |       0.99 |       302 |
+                  label    precision    recall    f1-score    support 
+                  other         0.99      0.99        0.99        202 
+ stock-option-agreement         0.98      0.98        0.98        100 
+               accuracy            -         -        0.99        302 
+              macro-avg         0.99      0.99        0.99        302 
+           weighted-avg         0.99      0.99        0.99        302
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_bert_en.md
index cddf3600a76e5b..6362ea25991abb 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        0.99 |     0.99 |       0.99 |       204 |
-| sub-advisory-agreement |        0.98 |     0.98 |       0.98 |       107 |
-|               accuracy |           - |        - |       0.99 |       311 |
-|              macro-avg |        0.99 |     0.99 |       0.99 |       311 |
-|           weighted-avg |        0.99 |     0.99 |       0.99 |       311 |
+                  label    precision    recall    f1-score    support 
+                  other         0.99      0.99        0.99        204 
+ sub-advisory-agreement         0.98      0.98        0.98        107 
+               accuracy            -         -        0.99        311 
+              macro-avg         0.99      0.99        0.99        311 
+           weighted-avg         0.99      0.99        0.99        311
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_en.md
index 4208f07ab2b834..14bbb6827d0de1 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_sub_advisory_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        0.99 |     1.00 |       0.99 |       202 |
-| sub-advisory-agreement |        1.00 |     0.97 |       0.99 |       104 |
-|               accuracy |           - |        - |       0.99 |       306 |
-|              macro-avg |        0.99 |     0.99 |       0.99 |       306 |
-|           weighted-avg |        0.99 |     0.99 |       0.99 |       306 |
+                  label    precision    recall    f1-score    support 
+                  other         0.99      1.00        0.99        202 
+ sub-advisory-agreement         1.00      0.97        0.99        104 
+               accuracy            -         -        0.99        306 
+              macro-avg         0.99      0.99        0.99        306 
+           weighted-avg         0.99      0.99        0.99        306
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_successors_and_assigns_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_successors_and_assigns_clause_en.md
index 1532a753fdbd0b..fb397e8427a4c5 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_successors_and_assigns_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_successors_and_assigns_clause_en.md
@@ -107,11 +107,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        1.00 |     0.95 |       0.97 |        39 |
-| successors-and-assigns |        0.94 |     1.00 |       0.97 |        33 |
-|               accuracy |           - |        - |       0.97 |        72 |
-|              macro-avg |        0.97 |     0.97 |       0.97 |        72 |
-|           weighted-avg |        0.97 |     0.97 |       0.97 |        72 |
+                  label    precision    recall    f1-score    support 
+                  other         1.00      0.95        0.97         39 
+ successors-and-assigns         0.94      1.00        0.97         33 
+               accuracy            -         -        0.97         72 
+              macro-avg         0.97      0.97        0.97         72 
+           weighted-avg         0.97      0.97        0.97         72
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_bert_en.md
index b8f7b5d5f80b1b..e6eb92491bc648 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        0.97 |     0.95 |       0.96 |       204 |
-| supplemental-indenture |        0.91 |     0.95 |       0.93 |       111 |
-|               accuracy |           - |        - |       0.95 |       315 |
-|              macro-avg |        0.94 |     0.95 |       0.95 |       315 |
-|           weighted-avg |        0.95 |     0.95 |       0.95 |       315 |
+                 label precision recall  f1-score  support
+                 other      0.97   0.95      0.96      204
+supplemental-indenture      0.91   0.95      0.93      111
+              accuracy         -      -      0.95      315
+             macro-avg      0.94   0.95      0.95      315
+          weighted-avg      0.95   0.95      0.95      315
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_en.md
index 9f6da3cc2c6990..6ff7c198b87a66 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_supplemental_indenture_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|                  label |   precision |   recall |   f1-score |   support |
-|-----------------------:|------------:|---------:|-----------:|----------:|
-|                  other |        0.97 |     0.95 |       0.96 |       221 |
-| supplemental-indenture |        0.90 |     0.94 |       0.92 |       107 |
-|               accuracy |           - |        - |       0.95 |       328 |
-|              macro-avg |        0.94 |     0.95 |       0.94 |       328 |
-|           weighted-avg |        0.95 |     0.95 |       0.95 |       328 |
+                 label precision recall  f1-score  support
+                 other      0.97   0.95      0.96      221
+supplemental-indenture      0.90   0.94      0.92      107
+              accuracy         -      -      0.95      328
+             macro-avg      0.94   0.95      0.94      328
+          weighted-avg      0.95   0.95      0.95      328
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_survival_clause_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_survival_clause_en.md
index a0a625d32dc83a..0a3ef0e2d9a6c7 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_survival_clause_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_survival_clause_en.md
@@ -107,11 +107,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|        label |   precision |   recall |   f1-score |   support |
-|-------------:|------------:|---------:|-----------:|----------:|
-|        other |        0.97 |     1.00 |       0.99 |        39 |
-|     survival |        1.00 |     0.97 |       0.99 |        35 |
-|     accuracy |           - |        - |       0.99 |        74 |
-|    macro-avg |        0.99 |     0.99 |       0.99 |        74 |
-| weighted-avg |        0.99 |     0.99 |       0.99 |        74 |
+       label precision recall  f1-score  support
+       other      0.97   1.00      0.99       39
+    survival      1.00   0.97      0.99       35
+    accuracy         -      -      0.99       74
+   macro-avg      0.99   0.99      0.99       74
+weighted-avg      0.99   0.99      0.99       74
+
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_bert_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_bert_en.md
index b9a56a922d326b..a2796b88b705cb 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_bert_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_bert_en.md
@@ -102,11 +102,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|             label |   precision |   recall |   f1-score |   support |
-|------------------:|------------:|---------:|-----------:|----------:|
-|             other |        0.98 |     0.99 |       0.98 |       204 |
-| warrant-agreement |        0.96 |     0.95 |       0.96 |        83 |
-|          accuracy |           - |        - |       0.98 |       287 |
-|         macro-avg |        0.97 |     0.97 |       0.97 |       287 |
-|      weighted-avg |        0.98 |     0.98 |       0.98 |       287 |
+            label precision recall  f1-score  support
+            other      0.98   0.99      0.98      204
+warrant-agreement      0.96   0.95      0.96       83
+         accuracy         -      -      0.98      287
+        macro-avg      0.97   0.97      0.97      287
+     weighted-avg      0.98   0.98      0.98      287
+     
 ```
\ No newline at end of file
diff --git a/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_en.md b/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_en.md
index 6027bc9ad976bd..92a4a63e62803d 100644
--- a/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_en.md
+++ b/docs/_posts/dcecchini/2022-12-18-legclf_warrant_agreement_en.md
@@ -115,12 +115,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-|             label |   precision |   recall |   f1-score |   support |
-|------------------:|------------:|---------:|-----------:|----------:|
-|             other |        1.00 |     0.98 |       0.99 |       230 |
-| warrant-agreement |        0.96 |     1.00 |       0.98 |        99 |
-|          accuracy |           - |        - |       0.99 |       329 |
-|         macro-avg |        0.98 |     0.99 |       0.99 |       329 |
-|      weighted-avg |        0.99 |     0.99 |       0.99 |       329 |
+            label precision recall  f1-score  support
+            other      1.00   0.98      0.99      230
+warrant-agreement      0.96   1.00      0.98       99
+         accuracy         -      -      0.99      329
+        macro-avg      0.98   0.99      0.99      329
+     weighted-avg      0.99   0.99      0.99      329
 
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2021-12-14-distilbert_uncased_te.md b/docs/_posts/gadde5300/2021-12-14-distilbert_uncased_te.md
index 87b9c6ee107ddc..ef6d3c90b85f5d 100644
--- a/docs/_posts/gadde5300/2021-12-14-distilbert_uncased_te.md
+++ b/docs/_posts/gadde5300/2021-12-14-distilbert_uncased_te.md
@@ -128,4 +128,4 @@ nlu.load("te.embed.distilbert").predict("""ఆంగ్ల పఠన పేర
 |Output Labels:|[embeddings]|
 |Language:|te|
 |Size:|249.4 MB|
-|Case sensitive:|false|
+|Case sensitive:|false|
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-10-17-legner_confidentiality_en.md b/docs/_posts/gadde5300/2022-10-17-legner_confidentiality_en.md
index 14141ee45921a7..95bccd44b6e79d 100644
--- a/docs/_posts/gadde5300/2022-10-17-legner_confidentiality_en.md
+++ b/docs/_posts/gadde5300/2022-10-17-legner_confidentiality_en.md
@@ -108,7 +108,7 @@ In-house annotated examples from CUAD legal dataset
 ## Benchmarking
 
 ```bash
-                                   precision    recall  f1-score   support
+                            label  precision    recall  f1-score   support
                 B-CONFIDENTIALITY     0.9077    0.9219    0.9147        64
          B-CONFIDENTIALITY_ACTION     1.0000    1.0000    1.0000        53
 B-CONFIDENTIALITY_INDIRECT_OBJECT     0.9419    0.9529    0.9474        85
@@ -118,7 +118,7 @@ B-CONFIDENTIALITY_INDIRECT_OBJECT     0.9419    0.9529    0.9474        85
 I-CONFIDENTIALITY_INDIRECT_OBJECT     0.9744    0.8444    0.9048        45
         I-CONFIDENTIALITY_SUBJECT     1.0000    1.0000    1.0000        25
                                 O     0.9913    0.9950    0.9932      1604
-                         accuracy                         0.9839      2053
-                        macro avg     0.9683    0.9562    0.9617      2053
-                     weighted avg     0.9839    0.9839    0.9838      2053
+                         accuracy        -        -       0.9839      2053
+                        macro-avg     0.9683    0.9562    0.9617      2053
+                     weighted-avg     0.9839    0.9839    0.9838      2053
 ```
diff --git a/docs/_posts/gadde5300/2022-10-17-legner_warranty_en.md b/docs/_posts/gadde5300/2022-10-17-legner_warranty_en.md
index d7561bc810f27b..f764c2c07ca1d3 100644
--- a/docs/_posts/gadde5300/2022-10-17-legner_warranty_en.md
+++ b/docs/_posts/gadde5300/2022-10-17-legner_warranty_en.md
@@ -111,7 +111,7 @@ In-house annotated examples from CUAD legal dataset
 ## Benchmarking
 
 ```bash
-                    label     precision    recall  f1-score   support
+                     label  precision    recall  f1-score   support
                 B-WARRANTY     0.8993    0.9178    0.9085       146
          B-WARRANTY_ACTION     1.0000    0.9318    0.9647        44
 B-WARRANTY_INDIRECT_OBJECT     1.0000    0.9474    0.9730        19
@@ -122,6 +122,6 @@ I-WARRANTY_INDIRECT_OBJECT     0.8333    0.8333    0.8333         6
         I-WARRANTY_SUBJECT     1.0000    0.9444    0.9714        36
                          O     0.9758    0.9772    0.9765      3381
                   accuracy        -        -       0.9698      5690
-                 macro avg     0.9428    0.9407    0.9410      5690
-              weighted avg     0.9700    0.9698    0.9698      5690
+                 macro-avg     0.9428    0.9407    0.9410      5690
+              weighted-avg     0.9700    0.9698    0.9698      5690
 ```
diff --git a/docs/_posts/gadde5300/2022-10-18-legre_confidentiality_en.md b/docs/_posts/gadde5300/2022-10-18-legre_confidentiality_en.md
index 0754450270dc02..70997c9d4841f9 100644
--- a/docs/_posts/gadde5300/2022-10-18-legre_confidentiality_en.md
+++ b/docs/_posts/gadde5300/2022-10-18-legre_confidentiality_en.md
@@ -130,10 +130,10 @@ In-house annotated examples from CUAD legal dataset
 ## Benchmarking
 
 ```bash
-Relation                        Recall    Precision     F1   Support
-is_confidentiality_indobject    1.000     1.000      1.000        28
-is_confidentiality_object       1.000     0.981      0.990        51
-is_confidentiality_subject      0.970     1.000      0.985        33
-Avg.                            0.990     0.994     0.992
-Weighted Avg.                   0.991     0.991     0.991
+                       label   Recall Precision       F1   Support
+is_confidentiality_indobject    1.000     1.000    1.000        28
+   is_confidentiality_object    1.000     0.981    0.990        51
+  is_confidentiality_subject    0.970     1.000    0.985        33
+                         Avg    0.990     0.994    0.992        -
+                Weighted-Avg    0.991     0.991    0.991        -
 ```
diff --git a/docs/_posts/gadde5300/2022-10-19-legre_warranty_en.md b/docs/_posts/gadde5300/2022-10-19-legre_warranty_en.md
index 49690fa4d0d81d..15f4890d6f8bc3 100644
--- a/docs/_posts/gadde5300/2022-10-19-legre_warranty_en.md
+++ b/docs/_posts/gadde5300/2022-10-19-legre_warranty_en.md
@@ -109,10 +109,10 @@ In-house annotated examples from CUAD legal dataset
 ## Benchmarking
 
 ```bash
-Relation                Recall    Precision F1          Support
-is_warranty_indobject   1.000     1.000     1.000        15
-is_warranty_object      1.000     1.000     1.000        44
-is_warranty_subject     1.000     1.000     1.000        29
-Avg.                    1.000     1.000     1.000
-Weighted Avg.           1.000     1.000     1.000
+                label   Recall Precision        F1   Support
+is_warranty_indobject    1.000     1.000     1.000        15
+   is_warranty_object    1.000     1.000     1.000        44
+  is_warranty_subject    1.000     1.000     1.000        29
+                  Avg    1.000     1.000     1.000        -
+         Weighted-Avg    1.000     1.000     1.000        -
 ```
diff --git a/docs/_posts/gadde5300/2022-11-09-legre_confidentiality_md_en.md b/docs/_posts/gadde5300/2022-11-09-legre_confidentiality_md_en.md
index e2b8a377aaa87c..66391136c2fa06 100644
--- a/docs/_posts/gadde5300/2022-11-09-legre_confidentiality_md_en.md
+++ b/docs/_posts/gadde5300/2022-11-09-legre_confidentiality_md_en.md
@@ -128,14 +128,11 @@ Manual annotations on CUAD dataset
 ## Benchmarking
 
 ```bash
-Relation                            Recall    Precision  F1          Support 
-
-is_confidentiality_indobject         0.960     1.000     0.980        25 
-is_confidentiality_object            1.000     0.933     0.966        56
-is_confidentiality_subject           0.935     1.000     0.967        31
-other                                0.989     1.000     0.994        88
-
-Avg.                                 0.971     0.983     0.977
-
-Weighted Avg.                        0.980     0.981     0.980
+                       label     Recall Precision        F1   Support 
+is_confidentiality_indobject      0.960     1.000     0.980        25 
+   is_confidentiality_object      1.000     0.933     0.966        56
+  is_confidentiality_subject      0.935     1.000     0.967        31
+                       other      0.989     1.000     0.994        88
+                         Avg      0.971     0.983     0.977        -
+                Weighted-Avg      0.980     0.981     0.980        -
 ```
diff --git a/docs/_posts/gadde5300/2022-11-09-legre_grants_md_en.md b/docs/_posts/gadde5300/2022-11-09-legre_grants_md_en.md
index 2587eb1ffb55e8..d6d1048fc412fc 100644
--- a/docs/_posts/gadde5300/2022-11-09-legre_grants_md_en.md
+++ b/docs/_posts/gadde5300/2022-11-09-legre_grants_md_en.md
@@ -122,15 +122,10 @@ Manual annotations on CUAD dataset
 ## Benchmarking
 
 ```bash
-
-Relation           Recall Precision        F1   Support
-
-allows              1.000     1.000     1.000        32
-is_allowed_to       1.000     1.000     1.000        36
-other               1.000     1.000     1.000        32
-
-Avg.                1.000     1.000     1.000
-
-Weighted Avg.       1.000     1.000     1.000
-
+        label      Recall   Precision        F1   Support
+       allows       1.000       1.000     1.000        32
+is_allowed_to       1.000       1.000     1.000        36
+        other       1.000       1.000     1.000        32
+          Avg       1.000       1.000     1.000        -
+ Weighted-Avg       1.000       1.000     1.000        -
 ```
diff --git a/docs/_posts/gadde5300/2022-11-09-legre_indemnifications_md_en.md b/docs/_posts/gadde5300/2022-11-09-legre_indemnifications_md_en.md
index 6fb8553eaaded1..3e7ad37e85871b 100644
--- a/docs/_posts/gadde5300/2022-11-09-legre_indemnifications_md_en.md
+++ b/docs/_posts/gadde5300/2022-11-09-legre_indemnifications_md_en.md
@@ -150,16 +150,11 @@ Manual annotations on CUAD dataset
 ## Benchmarking
 
 ```bash
-
-Relation                        Recall    Precision  F1       Support
-
+                       label    Recall Precision        F1   Support
 is_indemnification_indobject     1.000     1.000     1.000        18
-is_indemnification_object        0.972     1.000     0.986        36
-is_indemnification_subject       0.800     0.800     0.800        10
-other                            0.972     0.946     0.959        36
-
-Avg.                0.936     0.936     0.936
-
-Weighted Avg.       0.960     0.961     0.960
-
+   is_indemnification_object     0.972     1.000     0.986        36
+  is_indemnification_subject     0.800     0.800     0.800        10
+                       other     0.972     0.946     0.959        36
+                         Avg     0.936     0.936     0.936        -
+                Weighted-Avg     0.960     0.961     0.960        -
 ```
diff --git a/docs/_posts/gadde5300/2022-11-09-legre_whereas_md_en.md b/docs/_posts/gadde5300/2022-11-09-legre_whereas_md_en.md
index 7742d5be5841e8..6b10de0dffc7cc 100644
--- a/docs/_posts/gadde5300/2022-11-09-legre_whereas_md_en.md
+++ b/docs/_posts/gadde5300/2022-11-09-legre_whereas_md_en.md
@@ -133,15 +133,10 @@ Manual annotations on CUAD dataset
 ## Benchmarking
 
 ```bash
-
-Relation           Recall Precision        F1   Support
-
-has_object          0.974     0.991     0.983       116
-has_subject         0.977     0.986     0.981       213
-other               0.993     0.978     0.985       271
-
-Avg.                0.981     0.985     0.983
-
-Weighted Avg.       0.983     0.983     0.983
-
+       label    Recall Precision        F1   Support
+  has_object     0.974     0.991     0.983       116
+ has_subject     0.977     0.986     0.981       213
+       other     0.993     0.978     0.985       271
+         Avg     0.981     0.985     0.983       -
+Weighted-Avg     0.983     0.983     0.983       -
 ```
diff --git a/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_en.md b/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_en.md
index 820f404cc09063..7d4ca8748ff08f 100644
--- a/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_en.md
@@ -35,6 +35,7 @@ This is a `sm` version of Indian News Sentiment Analysis Text Classifier, which
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler() \
@@ -105,14 +106,10 @@ An in-house augmented version of [this dataset](https://www.kaggle.com/datasets/
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
     NEGATIVE       0.75      0.78      0.76     21441
     POSITIVE       0.73      0.69      0.71     18449
-
-    accuracy                           0.74     39890
-   macro avg       0.74      0.74      0.74     39890
-weighted avg       0.74      0.74      0.74     39890
-
+    accuracy         -         -       0.74     39890
+   macro-avg       0.74      0.74      0.74     39890
+weighted-avg       0.74      0.74      0.74     39890
 ```
diff --git a/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_medium_en.md b/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_medium_en.md
index 4cd12326fe2bb3..13e900b9350c2d 100644
--- a/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_medium_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-finclf_indian_news_sentiment_medium_en.md
@@ -35,8 +35,8 @@ This is a `md` version of Indian News Sentiment Analysis Text Classifier, which
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
- 
 
 document_assembler = nlp.DocumentAssembler() \
                 .setInputCol("text") \
@@ -98,14 +98,10 @@ An in-house augmented version of [this dataset](https://www.kaggle.com/datasets/
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
     NEGATIVE       0.85      0.86      0.86     10848
     POSITIVE       0.83      0.83      0.83      9202
-
-    accuracy                           0.84     20050
-   macro avg       0.84      0.84      0.84     20050
-weighted avg       0.84      0.84      0.84     20050
-
+    accuracy        -         -        0.84     20050
+   macro-avg       0.84      0.84      0.84     20050
+weighted-avg       0.84      0.84      0.84     20050
 ```
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_contribution_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_contribution_agreement_en.md
index cf034be5584adf..0c035dfa432275 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_contribution_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_contribution_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -113,14 +114,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
+                 label  precision    recall  f1-score   support
 contribution-agreement       0.88      0.84      0.86        43
                  other       0.91      0.93      0.92        73
-
-              accuracy                           0.90       116
-             macro avg       0.89      0.88      0.89       116
-          weighted avg       0.90      0.90      0.90       116
-
-
+              accuracy        -         -        0.90       116
+             macro-avg       0.89      0.88      0.89       116
+          weighted-avg       0.90      0.90      0.90       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_custodian_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_custodian_agreement_en.md
index e850d5a77534d7..bbbc553c271655 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_custodian_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_custodian_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,16 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 custodian-agreement       0.94      0.97      0.96        34
               other       0.99      0.97      0.98        73
-
-           accuracy                           0.97       107
-          macro avg       0.96      0.97      0.97       107
-       weighted avg       0.97      0.97      0.97       107
-
-
-
+           accuracy        -         -        0.97       107
+          macro-avg       0.96      0.97      0.97       107
+       weighted-avg       0.97      0.97      0.97       107
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_exchange_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_exchange_agreement_en.md
index d2aa52648c236f..815f81652c9259 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_exchange_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_exchange_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,16 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                    precision    recall  f1-score   support
-
+             label  precision    recall  f1-score   support
 exchange-agreement       0.75      0.79      0.77        38
              other       0.89      0.86      0.88        73
-
-          accuracy                           0.84       111
-         macro avg       0.82      0.83      0.82       111
-      weighted avg       0.84      0.84      0.84       111
-
-
-
+          accuracy          -         -      0.84       111
+         macro-avg       0.82      0.83      0.82       111
+      weighted-avg       0.84      0.84      0.84       111
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_general_distribution_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_general_distribution_agreement_en.md
index 58910fc105b337..c80331deee4c05 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_general_distribution_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_general_distribution_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,15 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                                precision    recall  f1-score   support
-
+                         label  precision    recall  f1-score   support
 general-distribution-agreement       0.97      0.91      0.94        35
                          other       0.95      0.98      0.97        57
-
-                      accuracy                           0.96        92
-                     macro avg       0.96      0.95      0.95        92
-                  weighted avg       0.96      0.96      0.96        92
-
-
+                      accuracy          -         -      0.96        92
+                     macro-avg       0.96      0.95      0.95        92
+                  weighted-avg       0.96      0.96      0.96        92
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_guarantee_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_guarantee_agreement_en.md
index c10ba87be1b967..dc147e3d34aaa8 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_guarantee_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_guarantee_agreement_en.md
@@ -112,15 +112,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 guarantee-agreement       0.94      0.92      0.93        37
               other       0.96      0.97      0.97        73
-
-           accuracy                           0.95       110
-          macro avg       0.95      0.95      0.95       110
-       weighted avg       0.95      0.95      0.95       110
-
-
+           accuracy          -         -      0.95       110
+          macro-avg       0.95      0.95      0.95       110
+       weighted-avg       0.95      0.95      0.95       110
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_intercreditor_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_intercreditor_agreement_en.md
index 94c60aec663a5b..e8fe140a908eb4 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_intercreditor_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_intercreditor_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,16 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                         precision    recall  f1-score   support
-
+                  label  precision    recall  f1-score   support
 intercreditor-agreement       0.88      0.85      0.87        34
                   other       0.93      0.95      0.94        73
-
-               accuracy                           0.92       107
-              macro avg       0.91      0.90      0.90       107
-           weighted avg       0.92      0.92      0.92       107
-
-
-
+               accuracy          -         -      0.92       107
+              macro-avg       0.91      0.90      0.90       107
+           weighted-avg       0.92      0.92      0.92       107
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_judgement_de.md b/docs/_posts/gadde5300/2022-11-10-legclf_judgement_de.md
index 7829f2f1597111..ec52be96f744e1 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_judgement_de.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_judgement_de.md
@@ -35,6 +35,7 @@ This is a `sm` version of German Legal Judgement Text Classifier written in Germ
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler() \
@@ -105,16 +106,12 @@ An in-house augmented version of [this dataset](https://zenodo.org/record/393649
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
   conclusion       0.47      0.69      0.55       156
   definition       0.72      0.90      0.80       286
        other       0.95      0.70      0.81       786
  subsumption       0.70      0.77      0.73       523
-
-    accuracy                           0.75      1751
-   macro avg       0.71      0.77      0.72      1751
-weighted avg       0.79      0.75      0.76      1751
-
+    accuracy          -         -      0.75      1751
+   macro-avg       0.71      0.77      0.72      1751
+weighted-avg       0.79      0.75      0.76      1751
 ```
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_judgement_medium_de.md b/docs/_posts/gadde5300/2022-11-10-legclf_judgement_medium_de.md
index bbf33b50c5737f..1b5268f7dd5a79 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_judgement_medium_de.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_judgement_medium_de.md
@@ -96,16 +96,12 @@ An in-house augmented version of [this dataset](https://zenodo.org/record/393649
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
   conclusion       0.74      0.79      0.76       189
   definition       0.91      0.88      0.90       160
        other       0.85      0.82      0.83       163
  subsumption       0.71      0.70      0.70       159
-
-    accuracy                           0.80       671
-   macro avg       0.80      0.80      0.80       671
-weighted avg       0.80      0.80      0.80       671
-
+    accuracy          -         -      0.80       671
+   macro-avg       0.80      0.80      0.80       671
+weighted-avg       0.80      0.80      0.80       671
 ```
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_master_repurchase_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_master_repurchase_agreement_en.md
index be2dae35009df4..f7b95a4ec69e14 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_master_repurchase_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_master_repurchase_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,15 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                             precision    recall  f1-score   support
-
+                      label  precision    recall  f1-score   support
 master-repurchase-agreement       0.97      0.97      0.97        34
                       other       0.99      0.99      0.99        73
-
-                   accuracy                           0.98       107
-                  macro avg       0.98      0.98      0.98       107
-               weighted avg       0.98      0.98      0.98       107
-
-
+                   accuracy          -         -      0.98       107
+                  macro-avg       0.98      0.98      0.98       107
+               weighted-avg       0.98      0.98      0.98       107
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_pledge_and_security_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_pledge_and_security_agreement_en.md
index 74306a8ef6b73e..567880fae32f3d 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_pledge_and_security_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_pledge_and_security_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,15 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                               precision    recall  f1-score   support
-
+                        label  precision    recall  f1-score   support
                         other       0.93      0.97      0.95        73
 pledge-and-security-agreement       0.94      0.86      0.90        36
-
-                     accuracy                           0.94       109
-                    macro avg       0.94      0.92      0.93       109
-                 weighted avg       0.94      0.94      0.94       109
-
-
+                     accuracy          -         -      0.94       109
+                    macro-avg       0.94      0.92      0.93       109
+                 weighted-avg       0.94      0.94      0.94       109
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_share_exchange_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_share_exchange_agreement_en.md
index 9fe1647c0abf7e..179fc7f1b1f2d9 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_share_exchange_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_share_exchange_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -112,15 +113,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-
-                          precision    recall  f1-score   support
-
+                   label  precision    recall  f1-score   support
                    other       0.93      0.93      0.93        73
 share-exchange-agreement       0.87      0.87      0.87        39
-
-                accuracy                           0.91       112
-               macro avg       0.90      0.90      0.90       112
-            weighted avg       0.91      0.91      0.91       112
-
-
+                accuracy          -         -      0.91       112
+               macro-avg       0.90      0.90      0.90       112
+            weighted-avg       0.91      0.91      0.91       112
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-10-legclf_terms_agreement_en.md b/docs/_posts/gadde5300/2022-11-10-legclf_terms_agreement_en.md
index 0682bc84489e9b..4c35e9283bc37f 100644
--- a/docs/_posts/gadde5300/2022-11-10-legclf_terms_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-11-10-legclf_terms_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -113,14 +114,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                 precision    recall  f1-score   support
-
+          label  precision    recall  f1-score   support
           other       0.96      1.00      0.98        73
 terms-agreement       1.00      0.91      0.95        33
-
-       accuracy                           0.97       106
-      macro avg       0.98      0.95      0.97       106
-   weighted avg       0.97      0.97      0.97       106
-
-
+       accuracy          -         -      0.97       106
+      macro-avg       0.98      0.95      0.97       106
+   weighted-avg       0.97      0.97      0.97       106
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_additional_covenants_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_additional_covenants_clause_en.md
index 5252fbaf48101a..1769420ef7e16a 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_additional_covenants_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_additional_covenants_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `additional-covenants` c
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                      precision    recall  f1-score   support
-
+               label  precision    recall  f1-score   support
 additional-covenants       1.00      0.71      0.83        24
                other       0.85      1.00      0.92        39
-
-            accuracy                           0.89        63
-           macro avg       0.92      0.85      0.87        63
-        weighted avg       0.91      0.89      0.88        63
-
-
+            accuracy          -         -      0.89        63
+           macro-avg       0.92      0.85      0.87        63
+        weighted-avg       0.91      0.89      0.88        63
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_bulletin_boards_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_bulletin_boards_clause_en.md
index ad9f61f3564316..d7c75682646672 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_bulletin_boards_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_bulletin_boards_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `bulletin-boards` clause
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -91,14 +92,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                 precision    recall  f1-score   support
-
+          label  precision    recall  f1-score   support
 bulletin-boards       0.96      1.00      0.98        27
           other       1.00      0.97      0.99        39
-
-       accuracy                           0.98        66
-      macro avg       0.98      0.99      0.98        66
-   weighted avg       0.99      0.98      0.98        66
-
-
+       accuracy          -         -      0.98        66
+      macro-avg       0.98      0.99      0.98        66
+   weighted-avg       0.99      0.98      0.98        66
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_conversion_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_conversion_clause_en.md
index 168a5cc798acd2..00cc375e8c5ec2 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_conversion_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_conversion_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `conversion` clause type
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
              .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
   conversion       0.93      0.93      0.93        28
        other       0.95      0.95      0.95        39
-
-    accuracy                           0.94        67
-   macro avg       0.94      0.94      0.94        67
-weighted avg       0.94      0.94      0.94        67
-
-
+    accuracy          -         -      0.94        67
+   macro-avg       0.94      0.94      0.94        67
+weighted-avg       0.94      0.94      0.94        67
 ```
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_delays_or_omissions_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_delays_or_omissions_clause_en.md
index d61f71e12b4ffc..289231e38f9991 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_delays_or_omissions_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_delays_or_omissions_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `delays-or-omissions` cl
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 delays-or-omissions       1.00      0.93      0.96        28
               other       0.95      1.00      0.97        39
-
-           accuracy                           0.97        67
-          macro avg       0.98      0.96      0.97        67
-       weighted avg       0.97      0.97      0.97        67
-
-
+           accuracy          -         -      0.97        67
+          macro-avg       0.98      0.96      0.97        67
+       weighted-avg       0.97      0.97      0.97        67
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_escrow_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_escrow_clause_en.md
index dadad9b6c12c02..037877cbc4ef82 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_escrow_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_escrow_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `escrow` clause type. To
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
       escrow       0.96      1.00      0.98        25
        other       1.00      0.97      0.99        39
-
-    accuracy                           0.98        64
-   macro avg       0.98      0.99      0.98        64
-weighted avg       0.98      0.98      0.98        64
-
-
+    accuracy          -         -      0.98        64
+   macro-avg       0.98      0.99      0.98        64
+weighted-avg       0.98      0.98      0.98        64
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_exclusive_remedy_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_exclusive_remedy_clause_en.md
index 233f258e8fe999..2b28d90827d4d7 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_exclusive_remedy_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_exclusive_remedy_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `exclusive-remedy` claus
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                  precision    recall  f1-score   support
-
+           label  precision    recall  f1-score   support
 exclusive-remedy       0.96      0.96      0.96        26
            other       0.97      0.97      0.97        39
-
-        accuracy                           0.97        65
-       macro avg       0.97      0.97      0.97        65
-    weighted avg       0.97      0.97      0.97        65
-
-
+        accuracy          -         -      0.97        65
+       macro-avg       0.97      0.97      0.97        65
+    weighted-avg       0.97      0.97      0.97        65
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_expenses_indemnity_damage_waiver_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_expenses_indemnity_damage_waiver_clause_en.md
index bf8cb1f20729fc..1ac84a42c794fb 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_expenses_indemnity_damage_waiver_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_expenses_indemnity_damage_waiver_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `expenses-indemnity-dama
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -91,14 +92,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-                                  precision    recall  f1-score   support
-
+                           label  precision    recall  f1-score   support
 expenses-indemnity-damage-waiver       0.96      0.96      0.96        24
                            other       0.97      0.97      0.97        38
-
-                        accuracy                           0.97        62
-                       macro avg       0.97      0.97      0.97        62
-                    weighted avg       0.97      0.97      0.97        62
-
-
+                        accuracy          -         -      0.97        62
+                       macro-avg       0.97      0.97      0.97        62
+                    weighted-avg       0.97      0.97      0.97        62
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_expiration_date_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_expiration_date_clause_en.md
index abca0d50e566e1..2b3002927d3b7f 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_expiration_date_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_expiration_date_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `expiration-date` clause
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
              .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                 precision    recall  f1-score   support
-
+          label  precision    recall  f1-score   support
 expiration-date       1.00      0.97      0.99        35
           other       0.97      1.00      0.99        39
-
-       accuracy                           0.99        74
-      macro avg       0.99      0.99      0.99        74
-   weighted avg       0.99      0.99      0.99        74
-
-
+       accuracy          -         -      0.99        74
+      macro-avg       0.99      0.99      0.99        74
+   weighted-avg       0.99      0.99      0.99        74
 ```
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_formation_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_formation_clause_en.md
index d361131d78156b..69905ca363f10d 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_formation_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_formation_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `formation` clause type.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
    formation       1.00      0.92      0.96        38
        other       0.93      1.00      0.96        39
-
-    accuracy                           0.96        77
-   macro avg       0.96      0.96      0.96        77
-weighted avg       0.96      0.96      0.96        77
-
-
+    accuracy          -         -      0.96        77
+   macro-avg       0.96      0.96      0.96        77
+weighted-avg       0.96      0.96      0.96        77
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_hazardous_materials_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_hazardous_materials_clause_en.md
index da20c3aedf5c03..f39cc11412d17e 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_hazardous_materials_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_hazardous_materials_clause_en.md
@@ -90,15 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 hazardous-materials       1.00      0.97      0.98        31
               other       0.97      1.00      0.99        39
-
-           accuracy                           0.99        70
-          macro avg       0.99      0.98      0.99        70
-       weighted avg       0.99      0.99      0.99        70
-
-
+           accuracy          -         -      0.99        70
+          macro-avg       0.99      0.98      0.99        70
+       weighted-avg       0.99      0.99      0.99        70
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_indemnification_and_insurance_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_indemnification_and_insurance_clause_en.md
index c14bb2688c17f9..502010c368ee4c 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_indemnification_and_insurance_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_indemnification_and_insurance_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `indemnification-and-ins
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
              .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                               precision    recall  f1-score   support
-
+                        label  precision    recall  f1-score   support
 indemnification-and-insurance       0.97      0.94      0.95        33
                         other       0.95      0.97      0.96        39
-
-                     accuracy                           0.96        72
-                    macro avg       0.96      0.96      0.96        72
-                 weighted avg       0.96      0.96      0.96        72
-
-
+                     accuracy          -         -      0.96        72
+                    macro-avg       0.96      0.96      0.96        72
+                 weighted-avg       0.96      0.96      0.96        72
 ```
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_leave_of_absence_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_leave_of_absence_clause_en.md
index 7abbf2e27f623a..3746ea616d6259 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_leave_of_absence_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_leave_of_absence_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `leave-of-absence` claus
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                  precision    recall  f1-score   support
-
+           label  precision    recall  f1-score   support
 leave-of-absence       1.00      0.97      0.98        29
            other       0.97      1.00      0.99        39
-
-        accuracy                           0.99        68
-       macro avg       0.99      0.98      0.98        68
-    weighted avg       0.99      0.99      0.99        68
-
-
+        accuracy          -         -      0.99        68
+       macro-avg       0.99      0.98      0.98        68
+    weighted-avg       0.99      0.99      0.99        68
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_limitation_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_limitation_clause_en.md
index 14b6a461d48955..e5e9004ca49b66 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_limitation_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_limitation_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `limitation` clause type
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
              .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
   limitation       0.88      0.86      0.87        35
        other       0.88      0.90      0.89        39
-
-    accuracy                           0.88        74
-   macro avg       0.88      0.88      0.88        74
-weighted avg       0.88      0.88      0.88        74
-
-
+    accuracy          -         -      0.88        74
+   macro-avg       0.88      0.88      0.88        74
+weighted-avg       0.88      0.88      0.88        74
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_non_contravention_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_non_contravention_clause_en.md
index 16a058e50fca97..68852ab6a009de 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_non_contravention_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_non_contravention_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `non-contravention` clau
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
 non-contravention       1.00      0.96      0.98        28
             other       0.97      1.00      0.99        39
-
-         accuracy                           0.99        67
-        macro avg       0.99      0.98      0.98        67
-     weighted avg       0.99      0.99      0.99        67
-
-
+         accuracy          -         -      0.99        67
+        macro-avg       0.99      0.98      0.98        67
+     weighted-avg       0.99      0.99      0.99        67
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_ofac_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_ofac_clause_en.md
index d2516f208d0ca2..5ad4663e20e732 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_ofac_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_ofac_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `ofac` clause type. To u
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
         ofac       1.00      0.96      0.98        28
        other       0.97      1.00      0.99        39
-
-    accuracy                           0.99        67
-   macro avg       0.99      0.98      0.98        67
-weighted avg       0.99      0.99      0.99        67
-
-
+    accuracy          -         -      0.99        67
+   macro-avg       0.99      0.98      0.98        67
+weighted-avg       0.99      0.99      0.99        67
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_opinions_of_counsel_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_opinions_of_counsel_clause_en.md
index bae098d216386e..13503014b4c78d 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_opinions_of_counsel_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_opinions_of_counsel_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `opinions-of-counsel` cl
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 opinions-of-counsel       1.00      1.00      1.00        24
               other       1.00      1.00      1.00        39
-
-           accuracy                           1.00        63
-          macro avg       1.00      1.00      1.00        63
-       weighted avg       1.00      1.00      1.00        63
-
-
+           accuracy          -         -      1.00        63
+          macro-avg       1.00      1.00      1.00        63
+       weighted-avg       1.00      1.00      1.00        63
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_other_definitions_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_other_definitions_clause_en.md
index a285a5a178710d..d4ea3cce8c58de 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_other_definitions_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_other_definitions_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `other-definitions` clau
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
             other       0.97      0.97      0.97        39
 other-definitions       0.97      0.97      0.97        38
-
-         accuracy                           0.97        77
-        macro avg       0.97      0.97      0.97        77
-     weighted avg       0.97      0.97      0.97        77
-
-
+         accuracy          -         -      0.97        77
+        macro-avg       0.97      0.97      0.97        77
+     weighted-avg       0.97      0.97      0.97        77
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_paid_holidays_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_paid_holidays_clause_en.md
index 11ba7ed879b3b3..a241a7198a276d 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_paid_holidays_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_paid_holidays_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `paid-holidays` clause t
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-               precision    recall  f1-score   support
-
+        label  precision    recall  f1-score   support
         other       0.97      1.00      0.99        39
 paid-holidays       1.00      0.96      0.98        24
-
-     accuracy                           0.98        63
-    macro avg       0.99      0.98      0.98        63
- weighted avg       0.98      0.98      0.98        63
-
-
+     accuracy          -         -      0.98        63
+    macro-avg       0.99      0.98      0.98        63
+ weighted-avg       0.98      0.98      0.98        63
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_prepayment_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_prepayment_clause_en.md
index 6067ae1abd90e9..afe8ad4b4175c2 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_prepayment_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_prepayment_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `prepayment` clause type
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       0.91      1.00      0.95        39
   prepayment       1.00      0.88      0.93        32
-
-    accuracy                           0.94        71
-   macro avg       0.95      0.94      0.94        71
-weighted avg       0.95      0.94      0.94        71
-
-
+    accuracy          -         -      0.94        71
+   macro-avg       0.95      0.94      0.94        71
+weighted-avg       0.95      0.94      0.94        71
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_register_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_register_clause_en.md
index be96ec3a7f02bf..68193e7d93811a 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_register_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_register_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `register` clause type.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       0.93      1.00      0.96        39
     register       1.00      0.91      0.95        32
-
-    accuracy                           0.96        71
-   macro avg       0.96      0.95      0.96        71
-weighted avg       0.96      0.96      0.96        71
-
-
+    accuracy          -         -      0.96        71
+   macro-avg       0.96      0.95      0.96        71
+weighted-avg       0.96      0.96      0.96        71
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_risk_of_loss_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_risk_of_loss_clause_en.md
index 8542be9d71aa63..2ecb9f2c3d421f 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_risk_of_loss_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_risk_of_loss_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `risk-of-loss` clause ty
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       0.97      1.00      0.99        39
 risk-of-loss       1.00      0.95      0.98        22
-
-    accuracy                           0.98        61
-   macro avg       0.99      0.98      0.98        61
-weighted avg       0.98      0.98      0.98        61
-
-
+    accuracy          -         -      0.98        61
+   macro-avg       0.99      0.98      0.98        61
+weighted-avg       0.98      0.98      0.98        61
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_subcontracting_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_subcontracting_clause_en.md
index f98175a4b73308..74b6f4940bce02 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_subcontracting_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_subcontracting_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `subcontracting` clause
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                    precision    recall  f1-score   support
-
+             label  precision    recall  f1-score   support
              other       0.95      1.00      0.97        39
     subcontracting       1.00      0.93      0.96        28
-
-          accuracy                           0.97        67
-         macro avg       0.98      0.96      0.97        67
-      weighted avg       0.97      0.97      0.97        67
-
-    
+          accuracy          -         -      0.97        67
+         macro-avg       0.98      0.96      0.97        67
+      weighted-avg       0.97      0.97      0.97        67
 ```
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_third_party_rights_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_third_party_rights_clause_en.md
index 02070f7e3c8d53..7fac02bbe62b71 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_third_party_rights_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_third_party_rights_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `third-party-rights` cla
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
              .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                    precision    recall  f1-score   support
-
+             label  precision    recall  f1-score   support
              other       0.97      1.00      0.99        39
 third-party-rights       1.00      0.96      0.98        28
-
-          accuracy                           0.99        67
-         macro avg       0.99      0.98      0.98        67
-      weighted avg       0.99      0.99      0.99        67
-
-
+          accuracy          -         -      0.99        67
+         macro-avg       0.99      0.98      0.98        67
+      weighted-avg       0.99      0.99      0.99        67
 ```
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_vacancies_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_vacancies_clause_en.md
index 88cc652f45dfe6..4fee86f7fc35cf 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_vacancies_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_vacancies_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `vacancies` clause type.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       0.97      1.00      0.99        39
    vacancies       1.00      0.97      0.98        32
-
-    accuracy                           0.99        71
-   macro avg       0.99      0.98      0.99        71
-weighted avg       0.99      0.99      0.99        71
-
-
+    accuracy          -         -      0.99        71
+   macro-avg       0.99      0.98      0.99        71
+weighted-avg       0.99      0.99      0.99        71
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-25-legclf_w_i_t_n_e_s_s_e_t_h_clause_en.md b/docs/_posts/gadde5300/2022-11-25-legclf_w_i_t_n_e_s_s_e_t_h_clause_en.md
index 18fdf761f48f4e..9153ac2f3738b1 100644
--- a/docs/_posts/gadde5300/2022-11-25-legclf_w_i_t_n_e_s_s_e_t_h_clause_en.md
+++ b/docs/_posts/gadde5300/2022-11-25-legclf_w_i_t_n_e_s_s_e_t_h_clause_en.md
@@ -44,6 +44,7 @@ This model is a Binary Classifier (True, False) for the `w-i-t-n-e-s-s-e-t-h` cl
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
               other       0.95      0.97      0.96        39
 w-i-t-n-e-s-s-e-t-h       0.96      0.92      0.94        25
-
-           accuracy                           0.95        64
-          macro avg       0.95      0.95      0.95        64
-       weighted avg       0.95      0.95      0.95        64
-
-
+           accuracy          -         -      0.95        64
+          macro-avg       0.95      0.95      0.95        64
+       weighted-avg       0.95      0.95      0.95        64
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-11-26-longformer_legal_base_8192_es.md b/docs/_posts/gadde5300/2022-11-26-longformer_legal_base_8192_es.md
index 3bbabe85d285ee..e47c3cfd79569b 100644
--- a/docs/_posts/gadde5300/2022-11-26-longformer_legal_base_8192_es.md
+++ b/docs/_posts/gadde5300/2022-11-26-longformer_legal_base_8192_es.md
@@ -32,6 +32,7 @@ Pretrained Longformer Embeddings model, adapted from Hugging Face and curated to
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  embeddings = LongformerEmbeddings\
     .pretrained("longformer_legal_base_8192","es")\
diff --git a/docs/_posts/gadde5300/2022-11-30-finner_german_financial_entities_de.md b/docs/_posts/gadde5300/2022-11-30-finner_german_financial_entities_de.md
index 09e5e94288bd81..d13b12accf8c80 100644
--- a/docs/_posts/gadde5300/2022-11-30-finner_german_financial_entities_de.md
+++ b/docs/_posts/gadde5300/2022-11-30-finner_german_financial_entities_de.md
@@ -35,6 +35,7 @@ This is a German NER model trained on German Financial Statements, aimed to extr
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler()\
         .setInputCol("text")\
@@ -138,7 +139,7 @@ https://huggingface.co/datasets/fabianrausch/financial-entities-values-augmented
 ## Benchmarking
 
 ```bash
-             label   precision    recall  f1-score   support
+             label  precision    recall  f1-score   support
 B-financial_entity     0.9923    0.9983    0.9953      1813
  B-financial_value     1.0000    0.9920    0.9960      1369
 I-financial_entity     0.9962    0.9998    0.9980      4148
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_eminent_domain_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_eminent_domain_clause_en.md
index b0ad2b94800e58..263dfa9a01c6a8 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_eminent_domain_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_eminent_domain_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `eminent-domain` clause
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,14 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                precision    recall  f1-score   support
-
+         label  precision    recall  f1-score   support
 eminent-domain       1.00      0.93      0.97        30
          other       0.95      1.00      0.97        39
-
       accuracy          -         -      0.97        69
-     macro avg       0.98      0.97      0.97        69
-  weighted avg       0.97      0.97      0.97        69
-
+     macro-avg       0.98      0.97      0.97        69
+  weighted-avg       0.97      0.97      0.97        69
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_erisa_reports_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_erisa_reports_clause_en.md
index 0392e392c0b05f..de3f9ebe4be4b9 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_erisa_reports_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_erisa_reports_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `erisa-reports` clause t
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,14 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-               precision    recall  f1-score   support
-
+        label  precision    recall  f1-score   support
 erisa-reports       0.97      1.00      0.99        35
         other       1.00      0.97      0.99        39
-
      accuracy          -         -      0.99        74
-    macro avg       0.99      0.99      0.99        74
- weighted avg       0.99      0.99      0.99        74
-
+    macro-avg       0.99      0.99      0.99        74
+ weighted-avg       0.99      0.99      0.99        74
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_injury_pay_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_injury_pay_clause_en.md
index 3e084bce121c5e..0ed0178d66ccb9 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_injury_pay_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_injury_pay_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `injury-pay` clause type
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -90,13 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
 
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
   injury-pay       0.96      1.00      0.98        26
        other       1.00      0.97      0.99        38
-
     accuracy          -         -      0.98        64
-   macro avg       0.98      0.99      0.98        64
-weighted avg       0.98      0.98      0.98        64
-
+   macro-avg       0.98      0.99      0.98        64
+weighted-avg       0.98      0.98      0.98        64
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_no_appraisal_rights_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_no_appraisal_rights_clause_en.md
index 54ed130ff5440e..7a35af671d24ce 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_no_appraisal_rights_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_no_appraisal_rights_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `no-appraisal-rights` cl
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,14 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 no-appraisal-rights       1.00      0.94      0.97        32
               other       0.95      1.00      0.97        39
-
            accuracy          -         -      0.97        71
-          macro avg       0.98      0.97      0.97        71
-       weighted avg       0.97      0.97      0.97        71
-
+          macro-avg       0.98      0.97      0.97        71
+       weighted-avg       0.97      0.97      0.97        71
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_payment_of_interest_defaulted_interest_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_payment_of_interest_defaulted_interest_clause_en.md
index d317b0bbe9c04b..1c31efde894f01 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_payment_of_interest_defaulted_interest_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_payment_of_interest_defaulted_interest_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `payment-of-interest-def
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,15 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                                        precision    recall  f1-score   support
-
+                                 label  precision    recall  f1-score   support
                                  other       1.00      1.00      1.00        27
 payment-of-interest-defaulted-interest       1.00      1.00      1.00        24
-
                               accuracy          -         -      1.00        51
-                             macro avg       1.00      1.00      1.00        51
-                          weighted avg       1.00      1.00      1.00        51
-
-
+                             macro-avg       1.00      1.00      1.00        51
+                          weighted-avg       1.00      1.00      1.00        51
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_principal_underwriter_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_principal_underwriter_clause_en.md
index c1d6e22a6edd6a..3c461bf93dc122 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_principal_underwriter_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_principal_underwriter_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `principal-underwriter`
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,16 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                       precision    recall  f1-score   support
-
+                label  precision    recall  f1-score   support
                 other       0.97      1.00      0.99        34
 principal-underwriter       1.00      0.96      0.98        24
-
              accuracy        -          -       0.98        58
-            macro avg       0.99      0.98      0.98        58
-         weighted avg       0.98      0.98      0.98        58
-
-
-
+            macro-avg       0.99      0.98      0.98        58
+         weighted-avg       0.98      0.98      0.98        58
 ```
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_retention_of_sub_adviser_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_retention_of_sub_adviser_clause_en.md
index b2fe8e1482df40..0d3826b91ad307 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_retention_of_sub_adviser_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_retention_of_sub_adviser_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `retention-of-sub-advise
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,14 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                          precision    recall  f1-score   support
-
+                   label  precision    recall  f1-score   support
                    other       0.97      1.00      0.99        34
 retention-of-sub-adviser       1.00      0.95      0.97        19
-
                 accuracy          -         -      0.98        53
-               macro avg       0.99      0.97      0.98        53
-            weighted avg       0.98      0.98      0.98        53
-
+               macro-avg       0.99      0.97      0.98        53
+            weighted-avg       0.98      0.98      0.98        53
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_right_to_cure_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_right_to_cure_clause_en.md
index c2ea34eacd6dec..b629a29566d424 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_right_to_cure_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_right_to_cure_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `right-to-cure` clause t
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,17 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-               precision    recall  f1-score   support
-
+        label  precision    recall  f1-score   support
         other       0.95      0.95      0.95        39
 right-to-cure       0.92      0.92      0.92        24
-
      accuracy          -         -      0.94        63
-    macro avg       0.93      0.93      0.93        63
- weighted avg       0.94      0.94      0.94        63
-
-
-
-
+    macro-avg       0.93      0.93      0.93        63
+ weighted-avg       0.94      0.94      0.94        63
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_sick_days_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_sick_days_clause_en.md
index 741d23c1a09e6e..99d071727a3f69 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_sick_days_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_sick_days_clause_en.md
@@ -43,6 +43,8 @@ This model is a Binary Classifier (True, False) for the `sick-days` clause type.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,15 +91,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       1.00      1.00      1.00        39
    sick-days       1.00      1.00      1.00        22
-
     accuracy          -         -      1.00        61
-   macro avg       1.00      1.00      1.00        61
-weighted avg       1.00      1.00      1.00        61
-
-
+   macro-avg       1.00      1.00      1.00        61
+weighted-avg       1.00      1.00      1.00        61
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-05-legclf_successor_to_the_bank_clause_en.md b/docs/_posts/gadde5300/2022-12-05-legclf_successor_to_the_bank_clause_en.md
index a3ed14381ede22..184cfbd69d2166 100644
--- a/docs/_posts/gadde5300/2022-12-05-legclf_successor_to_the_bank_clause_en.md
+++ b/docs/_posts/gadde5300/2022-12-05-legclf_successor_to_the_bank_clause_en.md
@@ -43,6 +43,7 @@ This model is a Binary Classifier (True, False) for the `successor-to-the-bank`
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  documentAssembler = nlp.DocumentAssembler() \
          .setInputCol("clause_text") \
@@ -89,14 +90,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-
-                       precision    recall  f1-score   support
-
+                label  precision    recall  f1-score   support
                 other       1.00      1.00      1.00        31
 successor-to-the-bank       1.00      1.00      1.00        21
-
              accuracy          -         -      1.00        52
-            macro avg       1.00      1.00      1.00        52
-         weighted avg       1.00      1.00      1.00        52
-
+            macro-avg       1.00      1.00      1.00        52
+         weighted-avg       1.00      1.00      1.00        52
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-07-sbert_chinese_qmc_finance_v1_distill_zh.md b/docs/_posts/gadde5300/2022-12-07-sbert_chinese_qmc_finance_v1_distill_zh.md
index 8be758b78901f1..c5a4295c3ecf26 100644
--- a/docs/_posts/gadde5300/2022-12-07-sbert_chinese_qmc_finance_v1_distill_zh.md
+++ b/docs/_posts/gadde5300/2022-12-07-sbert_chinese_qmc_finance_v1_distill_zh.md
@@ -31,6 +31,7 @@ Pretrained Financial BERT Sentence Embeddings model, adapted from Hugging Face a
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 sentence_embeddings = BertSentenceEmbeddings.pretrained("sbert_chinese_qmc_finance_v1_distill", "zh")\
   .setInputCols(["sentence"])\
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_bert_en.md
index c3e099992560f4..38078bf2af2394 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                                   precision    recall  f1-score   support
-
+                            label  precision    recall  f1-score   support
 administrative-services-agreement       1.00      0.88      0.94        26
                             other       0.96      1.00      0.98        65
-
-                         accuracy                           0.97        91
-                        macro avg       0.98      0.94      0.96        91
-                     weighted avg       0.97      0.97      0.97        91
-
+                         accuracy          -         -      0.97        91
+                        macro-avg       0.98      0.94      0.96        91
+                     weighted-avg       0.97      0.97      0.97        91
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_en.md
index e8455ff81301ce..2513c8367a16c2 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_administrative_services_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                                   precision    recall  f1-score   support
-
+                            label  precision    recall  f1-score   support
 administrative-services-agreement       0.89      0.89      0.89        37
                             other       0.95      0.95      0.95        76
-
-                         accuracy                           0.93       113
-                        macro avg       0.92      0.92      0.92       113
-                     weighted avg       0.93      0.93      0.93       113
-
+                         accuracy          -         -      0.93       113
+                        macro-avg       0.92      0.92      0.92       113
+                     weighted-avg       0.93      0.93      0.93       113
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_bert_en.md
index 5cdbeb5786e764..109a00f31125fc 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                          precision    recall  f1-score   support
-
+                   label  precision    recall  f1-score   support
 aircraft-lease-agreement       0.94      0.91      0.92        33
                    other       0.95      0.97      0.96        59
-
-                accuracy                           0.95        92
-               macro avg       0.94      0.94      0.94        92
-            weighted avg       0.95      0.95      0.95        92
-
+                accuracy          -         -      0.95        92
+               macro-avg       0.94      0.94      0.94        92
+            weighted-avg       0.95      0.95      0.95        92
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_en.md
index 535d0442ac1e53..88c5ff05a4faa2 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_aircraft_lease_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -100,12 +101,9 @@ Legal documents, scrapped from the Internet, and classified in-house
 
 ```bash
                           precision    recall  f1-score   support
-
 aircraft-lease-agreement       1.00      0.96      0.98        27
                    other       0.98      1.00      0.99        65
-
-                accuracy                           0.99        92
-               macro avg       0.99      0.98      0.99        92
-            weighted avg       0.99      0.99      0.99        92
-
+                accuracy          -         -      0.99        92
+               macro-avg       0.99      0.98      0.99        92
+            weighted-avg       0.99      0.99      0.99        92
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_bert_en.md
index d2121750111d26..16c84e3d4955e0 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
 custody-agreement       0.95      0.97      0.96        37
             other       0.97      0.94      0.96        35
-
-         accuracy                           0.96        72
-        macro avg       0.96      0.96      0.96        72
-     weighted avg       0.96      0.96      0.96        72
-
+         accuracy          -         -      0.96        72
+        macro-avg       0.96      0.96      0.96        72
+     weighted-avg       0.96      0.96      0.96        72
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_en.md
index beef07bcfaa06f..a09f858b1f4a9d 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_custody_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
 custody-agreement       0.91      0.80      0.85        25
             other       0.94      0.97      0.95        76
-
-         accuracy                           0.93       101
-        macro avg       0.92      0.89      0.90       101
-     weighted avg       0.93      0.93      0.93       101
-
+         accuracy          -         -      0.93       101
+        macro-avg       0.92      0.89      0.90       101
+     weighted-avg       0.93      0.93      0.93       101
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_bert_en.md
index 83758f27f556e5..94bc765e738eb9 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                              precision    recall  f1-score   support
-
+                       label  precision    recall  f1-score   support
 expense-limitation-agreement       0.92      1.00      0.96        22
                        other       1.00      0.94      0.97        35
-
-                    accuracy                           0.96        57
-                   macro avg       0.96      0.97      0.96        57
-                weighted avg       0.97      0.96      0.97        57
-
+                    accuracy          -         -      0.96        57
+                   macro-avg       0.96      0.97      0.96        57
+                weighted-avg       0.97      0.96      0.97        57
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_en.md
index a1c55d16e4af1c..ac2eb082a31c39 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_expense_limitation_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                              precision    recall  f1-score   support
-
+                       label  precision    recall  f1-score   support
 expense-limitation-agreement       0.98      0.98      0.98        43
                        other       0.99      0.99      0.99        76
-
-                    accuracy                           0.98       119
-                   macro avg       0.98      0.98      0.98       119
-                weighted avg       0.98      0.98      0.98       119
-
+                    accuracy          -         -      0.98       119
+                   macro-avg       0.98      0.98      0.98       119
+                weighted-avg       0.98      0.98      0.98       119
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_bert_en.md
index c20cc91b36da94..a299182f31e160 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
 joinder-agreement       0.91      0.86      0.89        36
             other       0.93      0.95      0.94        65
-
-         accuracy                           0.92       101
-        macro avg       0.92      0.91      0.91       101
-     weighted avg       0.92      0.92      0.92       101
-
+         accuracy          -         -      0.92       101
+        macro-avg       0.92      0.91      0.91       101
+     weighted-avg       0.92      0.92      0.92       101
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_en.md
index 3e7c61ab693e61..e8922e6cb3478b 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_joinder_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
 joinder-agreement       0.90      0.93      0.91        46
             other       0.96      0.93      0.95        76
-
-         accuracy                           0.93       122
-        macro avg       0.93      0.93      0.93       122
-     weighted avg       0.94      0.93      0.93       122
-
+         accuracy          -         -      0.93       122
+        macro-avg       0.93      0.93      0.93       122
+     weighted-avg       0.94      0.93      0.93       122
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_bert_en.md
index eec208d37685cc..aa5cbfac3bda9e 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                              precision    recall  f1-score   support
-
+                       label  precision    recall  f1-score   support
                        other       1.00      1.00      1.00        59
 plan-and-agreement-of-merger       1.00      1.00      1.00        32
-
-                    accuracy                           1.00        91
-                   macro avg       1.00      1.00      1.00        91
-                weighted avg       1.00      1.00      1.00        91
-
+                    accuracy          -         -      1.00        91
+                   macro-avg       1.00      1.00      1.00        91
+                weighted-avg       1.00      1.00      1.00        91
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_en.md
index 73c14b764d9db7..ff782cb5737565 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_plan_and_agreement_of_merger_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                              precision    recall  f1-score   support
-
+                       label  precision    recall  f1-score   support
                        other       0.97      1.00      0.98        65
 plan-and-agreement-of-merger       1.00      0.93      0.96        28
-
-                    accuracy                           0.98        93
-                   macro avg       0.99      0.96      0.97        93
-                weighted avg       0.98      0.98      0.98        93
-
+                    accuracy          -         -      0.98        93
+                   macro-avg       0.99      0.96      0.97        93
+                weighted-avg       0.98      0.98      0.98        93
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_bert_en.md
index 98138db06204ab..34f36bd590327d 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                           precision    recall  f1-score   support
-
+                    label  precision    recall  f1-score   support
                     other       1.00      1.00      1.00        58
 reference-trust-agreement       1.00      1.00      1.00        34
-
-                 accuracy                           1.00        92
-                macro avg       1.00      1.00      1.00        92
-             weighted avg       1.00      1.00      1.00        92
-
+                 accuracy          -         -      1.00        92
+                macro-avg       1.00      1.00      1.00        92
+             weighted-avg       1.00      1.00      1.00        92
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_en.md
index 967f379edc2ec1..85a9602f765e4e 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_reference_trust_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                           precision    recall  f1-score   support
-
+                    label  precision    recall  f1-score   support
                     other       1.00      1.00      1.00        63
 reference-trust-agreement       1.00      1.00      1.00        43
-
-                 accuracy                           1.00       106
-                macro avg       1.00      1.00      1.00       106
-             weighted avg       1.00      1.00      1.00       106
-
+                 accuracy          -         -      1.00       106
+                macro-avg       1.00      1.00      1.00       106
+             weighted-avg       1.00      1.00      1.00       106
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_bert_en.md
index 0b128c777f01c5..e8231e36e0f392 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                            precision    recall  f1-score   support
-
+                     label  precision    recall  f1-score   support
                      other       1.00      1.00      1.00        35
 restricted-stock-agreement       1.00      1.00      1.00        30
-
-                  accuracy                           1.00        65
-                 macro avg       1.00      1.00      1.00        65
-              weighted avg       1.00      1.00      1.00        65
-
+                  accuracy          -         -      1.00        65
+                 macro-avg       1.00      1.00      1.00        65
+              weighted-avg       1.00      1.00      1.00        65
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_en.md
index 2a7618863a91ac..498c0ae82de34b 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_restricted_stock_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                            precision    recall  f1-score   support
-
+                     label  precision    recall  f1-score   support
                      other       1.00      1.00      1.00        76
 restricted-stock-agreement       1.00      1.00      1.00        38
-
-                  accuracy                           1.00       114
-                 macro avg       1.00      1.00      1.00       114
-              weighted avg       1.00      1.00      1.00       114
-
+                  accuracy          -         -      1.00       114
+                 macro-avg       1.00      1.00      1.00       114
+              weighted-avg       1.00      1.00      1.00       114
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_bert_en.md
index bd6bab32cbbe12..5f40636c65934b 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                          precision    recall  f1-score   support
-
+                   label  precision    recall  f1-score   support
                    other       0.98      1.00      0.99        65
 share-purchase-agreement       1.00      0.97      0.98        33
-
-                accuracy                           0.99        98
-               macro avg       0.99      0.98      0.99        98
-            weighted avg       0.99      0.99      0.99        98
-
+                accuracy          -         -      0.99        98
+               macro-avg       0.99      0.98      0.99        98
+            weighted-avg       0.99      0.99      0.99        98
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_en.md
index 9aab5d65a81dcf..7e19588c915bbc 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_share_purchase_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                          precision    recall  f1-score   support
-
+                   label  precision    recall  f1-score   support
                    other       0.97      0.99      0.98        76
 share-purchase-agreement       0.95      0.91      0.93        22
-
-                accuracy                           0.97        98
-               macro avg       0.96      0.95      0.96        98
-            weighted avg       0.97      0.97      0.97        98
-
+                accuracy          -         -      0.97        98
+               macro-avg       0.96      0.95      0.96        98
+            weighted-avg       0.97      0.97      0.97        98
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_bert_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_bert_en.md
index 54b72ad6e126d1..a95e66550dfac7 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_bert_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_bert_en.md
@@ -37,6 +37,7 @@ Unlike the Longformer model, this model is lighter in terms of inference time.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -86,13 +87,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                       precision    recall  f1-score   support
-
+                label  precision    recall  f1-score   support
                 other       1.00      1.00      1.00        65
 subadvisory-agreement       1.00      1.00      1.00        41
-
-             accuracy                           1.00       106
-            macro avg       1.00      1.00      1.00       106
-         weighted avg       1.00      1.00      1.00       106
-
+             accuracy          -         -      1.00       106
+            macro-avg       1.00      1.00      1.00       106
+         weighted-avg       1.00      1.00      1.00       106
 ```
diff --git a/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_en.md b/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_en.md
index 056c408bb8ddc7..c85bf5b0d2f746 100644
--- a/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_en.md
+++ b/docs/_posts/gadde5300/2022-12-09-legclf_subadvisory_agreement_en.md
@@ -39,6 +39,7 @@ If not, let us know and we can carry out another approach for you: getting chunk
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 document_assembler = nlp.DocumentAssembler()\
@@ -99,13 +100,10 @@ Legal documents, scrapped from the Internet, and classified in-house
 ## Benchmarking
 
 ```bash
-                       precision    recall  f1-score   support
-
-                other       0.94      0.96      0.95        76
-subadvisory-agreement       0.87      0.80      0.83        25
-
-             accuracy                           0.92       101
-            macro avg       0.90      0.88      0.89       101
-         weighted avg       0.92      0.92      0.92       101
-
+                label precision recall  f1-score  support
+                other      0.94   0.96      0.95       76
+subadvisory-agreement      0.87   0.80      0.83       25
+             accuracy         -      -      0.92      101
+            macro-avg      0.90   0.88      0.89      101
+         weighted-avg      0.92   0.92      0.92      101
 ```
diff --git a/docs/_posts/gadde5300/2022-12-10-sbert_bert_large_portuguese_cased_legal_mlm_sts_v0.1_pt.md b/docs/_posts/gadde5300/2022-12-10-sbert_bert_large_portuguese_cased_legal_mlm_sts_v0.1_pt.md
index 60fa301c342bdd..5cc851ae40cc7d 100644
--- a/docs/_posts/gadde5300/2022-12-10-sbert_bert_large_portuguese_cased_legal_mlm_sts_v0.1_pt.md
+++ b/docs/_posts/gadde5300/2022-12-10-sbert_bert_large_portuguese_cased_legal_mlm_sts_v0.1_pt.md
@@ -30,6 +30,7 @@ Pretrained BERT Sentence Embedding model, adapted from Hugging Face and curated
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = DocumentAssembler() \
     .setInputCol("text") \
diff --git a/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset1_en.md b/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset1_en.md
index e760316a9ee64b..1c2621cb74abd7 100644
--- a/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset1_en.md
+++ b/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset1_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -135,8 +136,7 @@ An in-house modified version of https://huggingface.co/datasets/nlpaueb/finer-13
 ## Benchmarking
 
 ```bash
-label                                                                     precision    recall  f1-score   support
-
+label                                                                    precision    recall  f1-score   support
 B-AccrualForEnvironmentalLossContingencies                                  1.0000    0.9386    0.9683       228
 B-AcquiredFiniteLivedIntangibleAssetsWeightedAverageUsefulLife              0.9968    0.9778    0.9872       316
 B-AllocatedShareBasedCompensationExpense                                    0.9931    0.9885    0.9908      1735
diff --git a/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset2_en.md b/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset2_en.md
index ba3091634562ed..ea763a7e3b5efd 100644
--- a/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset2_en.md
+++ b/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset2_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -150,5 +151,4 @@ O
 accuracy                                                                                                                -          -    0.9982     79816
 macro-avg                                                                                                           0.8742    0.8747    0.8733     79816
 weighted-avg                                                                                                        0.9982    0.9982    0.9982     79816
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset3_en.md b/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset3_en.md
index 0b85eb32f71106..c4ee297f636e34 100644
--- a/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset3_en.md
+++ b/docs/_posts/gadde5300/2022-12-14-finner_10q_xlbr_md_subset3_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -136,7 +137,7 @@ An in-house modified version of https://huggingface.co/datasets/nlpaueb/finer-13
 
 ```bash
 
-label                                                              precision    recall  f1-score   support
+label                                                           precision    recall  f1-score   support
 B-ContractWithCustomerLiability                                    0.9847    0.8344    0.9033       308
 B-ContractWithCustomerLiabilityRevenueRecognized                   0.9657    0.9888    0.9771       627
 B-CumulativeEffectOfNewAccountingPrincipleInPeriodOfAdoption       0.9817    0.9267    0.9534       232
@@ -154,5 +155,4 @@ O                                                                  0.9947    0.9
 accuracy                                                               -          -    0.9917    257671
 macro-avg                                                          0.9233    0.8045    0.8504    257671
 weighted-avg                                                       0.9912    0.9917    0.9911    257671
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset11_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset11_en.md
index 6ea7834b31ae02..6a5e6176fdf3d2 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset11_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset11_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset12_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset12_en.md
index f5578e8c3d0bb9..6d8ecbf068e014 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset12_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset12_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -154,5 +155,4 @@ O
 accuracy                                                                                                           -         -     0.9873     33973
 macro-avg                                                                                                      0.7144    0.7193    0.7120     33973
 weighted-avg                                                                                                   0.9870    0.9873    0.9869     33973  
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset4_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset4_en.md
index d84e9edb6d0eaa..71f7197f33e500 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset4_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset4_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -154,5 +155,4 @@ O                                                              0.9996    0.9986
 accuracy                                                            -         -    0.9968    100130
 macro-avg                                                      0.9247    0.9451    0.9335    100130
 weighted-avg                                                   0.9970    0.9968    0.9969    100130
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset5_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset5_en.md
index 57b47c485b3ecf..d85133ae3650d4 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset5_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset5_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -177,5 +178,4 @@ O
 accuracy                                                                                                                             -         -    0.9958    138079
 macro-avg                                                                                                                       0.9271    0.9225    0.9234    138079
 weighted-avg                                                                                                                    0.9961    0.9958    0.9959    138079
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset6_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset6_en.md
index 6d8b1f6cb4c2fb..58830022304e3a 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset6_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset6_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -199,7 +200,7 @@ An in-house modified version of https://huggingface.co/datasets/nlpaueb/finer-13
 
 ```bash
 
-label                                            precision    recall  f1-score   support                                                
+label                                           precision    recall  f1-score   support                                                
 B-IncomeLossFromEquityMethodInvestments            0.9921    0.9654    0.9786       260
 B-IncomeTaxExpenseBenefit                          0.9725    0.9985    0.9853       672
 B-InterestExpense                                  0.9167    0.1897    0.3143       174
@@ -218,5 +219,4 @@ O                                                  0.9977    0.9983    0.9980
 accuracy                                                -         -    0.9930     86692
 macro-avg                                          0.9080    0.8631    0.8637     86692
 weighted-avg                                       0.9936    0.9930    0.9926     86692
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset7_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset7_en.md
index fcc5d6ccd0ed2d..addfbc4fec970b 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset7_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset7_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -173,5 +174,4 @@ O                                                               0.9997    0.9986
 accuracy                                                             -         -    0.9967    151536
 macro-avg                                                       0.9210    0.9378    0.9282    151536
 weighted-avg                                                    0.9968    0.9967    0.9967    151536
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset8_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset8_en.md
index 665a0240a90e01..4f1bbdfa4c0a6b 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset8_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset8_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -154,7 +155,7 @@ An in-house modified version of https://huggingface.co/datasets/nlpaueb/finer-13
 
 ```bash
 
-label                                                        precision    recall  f1-score   support                                                
+label                                                     precision    recall  f1-score   support                                                
 B-NumberOfRealEstateProperties                               0.9556    0.9894    0.9722       283
 B-NumberOfReportableSegments                                 0.9862    0.9984    0.9923       645
 B-OperatingLeaseCost                                         0.7669    0.6793    0.7205       184
@@ -172,5 +173,4 @@ O                                                            0.9996    0.9984
 accuracy                                                        -          -     0.9954    113876
 macro-avg                                                    0.8552    0.8886    0.8620    113876
 weighted-avg                                                 0.9955    0.9954    0.9952    113876
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset9_en.md b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset9_en.md
index adad3cce7609bf..7c014eeecd375a 100644
--- a/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset9_en.md
+++ b/docs/_posts/gadde5300/2022-12-15-finner_10q_xlbr_md_subset9_en.md
@@ -36,6 +36,7 @@ This is a large (`md`) model, trained with 200K sentences.
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
  
 documentAssembler = nlp.DocumentAssembler() \
@@ -168,7 +169,7 @@ An in-house modified version of https://huggingface.co/datasets/nlpaueb/finer-13
 
 ```bash
 
-label                                                        precision    recall  f1-score   support                                                
+label                                                              precision    recall  f1-score   support                                                
 B-PaymentsToAcquireBusinessesNetOfCashAcquired                        0.9801    0.9610    0.9705       154
 B-PreferredStockDividendRatePercentage                                0.9822    1.0000    0.9910       166
 B-PreferredStockSharesAuthorized                                      1.0000    1.0000    1.0000       113
@@ -187,5 +188,4 @@ O                                                                     0.9989
 accuracy                                                                   -         -    0.9954     81288
 macro-avg                                                             0.9481    0.9177    0.9244     81288
 weighted-avg                                                          0.9957    0.9954    0.9952     81288
-
 ```
\ No newline at end of file
diff --git a/docs/_posts/gokhanturer/2022-10-15-finre_has_ticker_en.md b/docs/_posts/gokhanturer/2022-10-15-finre_has_ticker_en.md
index 21fdb06299bc56..2426bda2b41f24 100644
--- a/docs/_posts/gokhanturer/2022-10-15-finre_has_ticker_en.md
+++ b/docs/_posts/gokhanturer/2022-10-15-finre_has_ticker_en.md
@@ -147,9 +147,8 @@ Manual annotations on tweets
 ## Benchmarking
 
 ```bash
-| Relation      | Recall Precision | F1    | Support |    |
-|---------------|------------------|-------|---------|----|
-| has_ticker    | 0.717            | 0.827 | 0.768   | 60 |
-| Avg.          | 0.717            | 0.827 | 0.768   |    |
-| Weighted Avg. | 0.717            | 0.827 | 0.768   |    |
+label          Recall Precision  F1     Support     
+has_ticker     0.717  0.827      0.768    60 
+Avg.           0.717  0.827      0.768    -  
+Weighted-Avg.  0.717  0.827      0.768    -  
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_agreement_and_declaration_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_agreement_and_declaration_en.md
index e3cd3bebcbbe97..20e72a6ffd6e0a 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_agreement_and_declaration_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_agreement_and_declaration_en.md
@@ -105,13 +105,12 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                           precision    recall  f1-score   support
 
-agreement-and-declaration       0.97      1.00      0.98        32
-                    other       1.00      0.98      0.99        66
-
-                 accuracy                           0.99        98
-                macro avg       0.98      0.99      0.99        98
-             weighted avg       0.99      0.99      0.99        98
+                    label precision recall  f1-score  support
+agreement-and-declaration      0.97   1.00      0.98       32
+                    other      1.00   0.98      0.99       66
+                 accuracy         -      -      0.99       98
+                macro-avg      0.98   0.99      0.99       98
+             weighted-avg      0.99   0.99      0.99       98
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_control_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_control_agreement_en.md
index 7463f5d9892b26..a1b465c587279e 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_control_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_control_agreement_en.md
@@ -105,12 +105,12 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
 
-control-agreement       0.93      1.00      0.97        28
-            other       1.00      0.97      0.98        66
+            label precision recall  f1-score  support
+control-agreement      0.93   1.00      0.97       28
+            other      1.00   0.97      0.98       66
+         accuracy         -      -      0.98       94
+        macro-avg      0.97   0.98      0.98       94
+     weighted-avg      0.98   0.98      0.98       94
 
-         accuracy                           0.98        94
-        macro avg       0.97      0.98      0.98        94
-     weighted avg       0.98      0.98      0.98        94
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_equity_distribution_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_equity_distribution_agreement_en.md
index 499ad2c81e9e3d..81e2b33d2a5298 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_equity_distribution_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_equity_distribution_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
-equity-distribution-agreement       1.00      1.00      1.00        41
-                        other       1.00      1.00      1.00        66
-
-                     accuracy                           1.00       107
-                    macro avg       1.00      1.00      1.00       107
-                 weighted avg       1.00      1.00      1.00       107
-
+                        label precision recall  f1-score  support
+equity-distribution-agreement      1.00   1.00       1.0       41
+                        other      1.00   1.00       1.0       66
+                     accuracy         -      -       1.0      107
+                    macro-avg      1.00   1.00       1.0      107
+                 weighted-avg      1.00   1.00       1.0      107
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_exclusive_license_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_exclusive_license_agreement_en.md
index f5a3ea14b98921..d678197d8beb23 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_exclusive_license_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_exclusive_license_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                             precision    recall  f1-score   support
-
-exclusive-license-agreement       1.00      0.97      0.98        32
-                      other       0.99      1.00      0.99        66
-
-                   accuracy                           0.99        98
-                  macro avg       0.99      0.98      0.99        98
-               weighted avg       0.99      0.99      0.99        98
-
+                      label precision recall  f1-score  support
+exclusive-license-agreement      1.00   0.97      0.98       32
+                      other      0.99   1.00      0.99       66
+                   accuracy         -      -      0.99       98
+                  macro-avg      0.99   0.98      0.99       98
+               weighted-avg      0.99   0.99      0.99       98
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_investment_subadvisory_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_investment_subadvisory_agreement_en.md
index 2ef26c7bddb657..07ca7d798f35c9 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_investment_subadvisory_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_investment_subadvisory_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                                  precision    recall  f1-score   support
-
-investment-subadvisory-agreement       1.00      0.98      0.99        42
-                           other       0.99      1.00      0.99        66
-
-                        accuracy                           0.99       108
-                       macro avg       0.99      0.99      0.99       108
-                    weighted avg       0.99      0.99      0.99       108
-
+                           label precision recall  f1-score  support
+investment-subadvisory-agreement      1.00   0.98      0.99       42
+                           other      0.99   1.00      0.99       66
+                        accuracy         -      -      0.99      108
+                       macro-avg      0.99   0.99      0.99      108
+                    weighted-avg      0.99   0.99      0.99      108
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_limited_partnership_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_limited_partnership_agreement_en.md
index 1f1b5f6b7a8626..df889b0aec2ecc 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_limited_partnership_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_limited_partnership_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
-limited-partnership-agreement       1.00      1.00      1.00        24
-                        other       1.00      1.00      1.00        31
-
-                     accuracy                           1.00        55
-                    macro avg       1.00      1.00      1.00        55
-                 weighted avg       1.00      1.00      1.00        55
-
+                        label precision recall  f1-score  support
+limited-partnership-agreement      1.00   1.00       1.0       24
+                        other      1.00   1.00       1.0       31
+                     accuracy         -      -       1.0       55
+                    macro-avg      1.00   1.00       1.0       55
+                 weighted-avg      1.00   1.00       1.0       55
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_master_lease_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_master_lease_agreement_en.md
index 40976d84e1ab8c..129afc73fb008e 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_master_lease_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_master_lease_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                        precision    recall  f1-score   support
-
-master-lease-agreement       0.96      0.90      0.93        30
-                 other       0.96      0.98      0.97        66
-
-              accuracy                           0.96        96
-             macro avg       0.96      0.94      0.95        96
-          weighted avg       0.96      0.96      0.96        96
-
+                 label precision recall  f1-score  support
+master-lease-agreement      0.96   0.90      0.93       30
+                 other      0.96   0.98      0.97       66
+              accuracy         -      -      0.96       96
+             macro-avg      0.96   0.94      0.95       96
+          weighted-avg      0.96   0.96      0.96       96
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_stockholder_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_stockholder_agreement_en.md
index 5e6fbd0ac408f9..72846a010d0b56 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_stockholder_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_stockholder_agreement_en.md
@@ -105,12 +105,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                       precision    recall  f1-score   support
-
-                other       0.97      1.00      0.98        65
-stockholder-agreement       1.00      0.95      0.97        39
-
-             accuracy                           0.98       104
-            macro avg       0.99      0.97      0.98       104
-         weighted avg       0.98      0.98      0.98       104
+                label precision recall  f1-score  support
+                other      0.97   1.00      0.98       65
+stockholder-agreement      1.00   0.95      0.97       39
+             accuracy         -      -      0.98      104
+            macro-avg      0.99   0.97      0.98      104
+         weighted-avg      0.98   0.98      0.98      104
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_sublease_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_sublease_agreement_en.md
index 370f42d4f429b6..a7e06fb8b5acd4 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_sublease_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_sublease_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                    precision    recall  f1-score   support
-
-             other       0.99      1.00      0.99        66
-sublease-agreement       1.00      0.97      0.99        35
-
-          accuracy                           0.99       101
-         macro avg       0.99      0.99      0.99       101
-      weighted avg       0.99      0.99      0.99       101
-
+             label precision recall  f1-score  support
+             other      0.99   1.00      0.99       66
+sublease-agreement      1.00   0.97      0.99       35
+          accuracy         -      -      0.99      101
+         macro-avg      0.99   0.99      0.99      101
+      weighted-avg      0.99   0.99      0.99      101
 
 ```
diff --git a/docs/_posts/gokhanturer/2022-11-10-legclf_transition_services_agreement_en.md b/docs/_posts/gokhanturer/2022-11-10-legclf_transition_services_agreement_en.md
index ba438945ae825c..2f6967edd91850 100644
--- a/docs/_posts/gokhanturer/2022-11-10-legclf_transition_services_agreement_en.md
+++ b/docs/_posts/gokhanturer/2022-11-10-legclf_transition_services_agreement_en.md
@@ -116,14 +116,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 
 ```bash
 
-                               precision    recall  f1-score   support
-
-                        other       0.99      1.00      0.99        66
-transition-services-agreement       1.00      0.97      0.99        35
-
-                     accuracy                           0.99       101
-                    macro avg       0.99      0.99      0.99       101
-                 weighted avg       0.99      0.99      0.99       101
-
+                        label precision recall  f1-score  support
+                        other      0.99   1.00      0.99       66
+transition-services-agreement      1.00   0.97      0.99       35
+                     accuracy         -      -      0.99      101
+                    macro-avg      0.99   0.99      0.99      101
+                 weighted-avg      0.99   0.99      0.99      101
 
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-04-05-re_zeroshot_biobert_en_3_0.md b/docs/_posts/josejuanmartinez/2022-04-05-re_zeroshot_biobert_en_3_0.md
index b5f38186d47b41..f0b95c0314d942 100644
--- a/docs/_posts/josejuanmartinez/2022-04-05-re_zeroshot_biobert_en_3_0.md
+++ b/docs/_posts/josejuanmartinez/2022-04-05-re_zeroshot_biobert_en_3_0.md
@@ -41,8 +41,6 @@ Take a look at how it works in the "Open in Colab" section below.
 {% raw %}
 
 ```python
-data = spark.createDataFrame( [["Paracetamol can alleviate headache or sickness. An MRI test can be used to find cancer."]] ).toDF("text")
-
 documenter = nlp.DocumentAssembler() \
     .setInputCol("text") \
     .setOutputCol("document")
@@ -60,34 +58,33 @@ words_embedder = nlp.WordEmbeddingsModel() \
     .setInputCols(["sentences", "tokens"]) \
     .setOutputCol("embeddings")
 
-pos_tagger = nlp.PerceptronModel() \
-    .pretrained("pos_clinical", "en", "clinical/models") \
-    .setInputCols(["sentences", "tokens"]) \
-    .setOutputCol("pos_tags")
-
-ner_tagger = medical.NerModel() \
+ner_clinical = medical.NerModel() \
     .pretrained("ner_clinical", "en", "clinical/models") \
     .setInputCols(["sentences", "tokens", "embeddings"]) \
-    .setOutputCol("ner_tags")
+    .setOutputCol("ner_clinical")
+
+ner_clinical_converter = nlp.NerConverter() \
+    .setInputCols(["sentences", "tokens", "ner_clinical"]) \
+    .setOutputCol("ner_clinical_chunks")\
+    .setWhiteList(["PROBLEM", "TEST"])      # PROBLEM-TEST-TREATMENT
+
+ner_posology = medical.NerModel.pretrained("ner_posology", "en", "clinical/models") \
+    .setInputCols(["sentences", "tokens", "embeddings"]) \
+    .setOutputCol("ner_posology")           
 
-ner_converter = nlp.NerConverter() \
-    .setInputCols(["sentences", "tokens", "ner_tags"]) \
-    .setOutputCol("ner_chunks")
+ner_posology_converter = nlp.NerConverter() \
+    .setInputCols(["sentences", "tokens", "ner_posology"]) \
+    .setOutputCol("ner_posology_chunks")\
+    .setWhiteList(["DRUG"])                # DRUG-FREQUENCY-DOSAGE-DURATION-FORM-ROUTE-STRENGTH
 
-dependency_parser = nlp.DependencyParserModel() \
-    .pretrained("dependency_conllu", "en") \
-    .setInputCols(["document", "pos_tags", "tokens"]) \
-    .setOutputCol("dependencies")
+chunk_merger = medical.ChunkMergeApproach()\
+    .setInputCols("ner_clinical_chunks", "ner_posology_chunks")\
+    .setOutputCol('merged_ner_chunks')
 
-re_ner_chunk_filter = medical.RENerChunksFilter() \
-    .setRelationPairs(["problem-test","problem-treatment"]) \
-    .setMaxSyntacticDistance(4)\
-    .setDocLevelRelations(False)\
-    .setInputCols(["ner_chunks", "dependencies"]) \
-    .setOutputCol("re_ner_chunks")
+## ZERO-SHOT RE Starting...
 
 re_model = medical.ZeroShotRelationExtractionModel.pretrained("re_zeroshot_biobert", "en", "clinical/models")\
-    .setInputCols(["re_ner_chunks", "sentences"]) \
+    .setInputCols(["merged_ner_chunks", "sentences"]) \
     .setOutputCol("relations")\
     .setMultiLabel(True)
 
@@ -96,20 +93,21 @@ re_model.setRelationalCategories({
     "IMPROVE": ["{DRUG} improves {PROBLEM}.", "{DRUG} cures {PROBLEM}."],
     "REVEAL": ["{TEST} reveals {PROBLEM}."]})
 
-pipeline = Pipeline() \
+pipeline = nlp.Pipeline() \
     .setStages([documenter, 
                 tokenizer, 
                 sentencer, 
                 words_embedder, 
-                pos_tagger, 
-                ner_tagger, 
-                ner_converter,
-                dependency_parser, 
-                re_ner_chunk_filter, 
+                ner_clinical, 
+                ner_clinical_converter,
+                ner_posology,
+                ner_posology_converter,
+                chunk_merger,
                 re_model])
 
-model = pipeline.fit(data)
-results = model.transform(data)
+data = spark.createDataFrame( [["Paracetamol can alleviate headache or sickness. An MRI test can be used to find cancer."]] ).toDF("text")
+
+results = pipeline.fit(data).transform(data)
 
 results\
 .selectExpr("explode(relations) as relation")\
@@ -122,58 +120,49 @@ val documenter = new DocumentAssembler()
     .setInputCol("text")
     .setOutputCol("document")
 
-
 val tokenizer = new Tokenizer()
     .setInputCols("document")
     .setOutputCol("tokens")
 
-
 val sentencer = new SentenceDetector()
     .setInputCols("document")
     .setOutputCol("sentences")
 
-
 val words_embedder = WordEmbeddingsModel()
     .pretrained("embeddings_clinical", "en", "clinical/models")
     .setInputCols(Array("sentences", "tokens"))
     .setOutputCol("embeddings")
 
-
-val pos_tagger = PerceptronModel()
-    .pretrained("pos_clinical", "en", "clinical/models")
-    .setInputCols(Array("sentences", "tokens"))
-    .setOutputCol("pos_tags")
-
-
-val ner_tagger = MedicalNerModel()
+val ner_clinical = MedicalNerModel()
     .pretrained("ner_clinical", "en", "clinical/models")
     .setInputCols(Array("sentences", "tokens", "embeddings"))
-    .setOutputCol("ner_tags")
-
+    .setOutputCol("ner_clinical")
 
-val ner_converter = new NerConverter()
-    .setInputCols(Array("sentences", "tokens", "ner_tags"))
-    .setOutputCol("ner_chunks")
+val ner_clinical_converter = new NerConverter()
+    .setInputCols(Array("sentences", "tokens", "ner_clinical"))
+    .setOutputCol("ner_clinical_chunks")
+    .setWhiteList(Array("PROBLEM", "TEST"))      # PROBLEM-TEST-TREATMENT
 
+val ner_posology = MedicalNerModel()
+    .pretrained("ner_posology", "en", "clinical/models")
+    .setInputCols(Array("sentences", "tokens", "embeddings"))
+    .setOutputCol("ner_posology")           
 
-val dependency_parser = DependencyParserModel()
-    .pretrained("dependency_conllu", "en")
-    .setInputCols(Array("document", "pos_tags", "tokens"))
-    .setOutputCol("dependencies")
-
+val ner_posology_converter = new NerConverter()
+    .setInputCols(Array("sentences", "tokens", "ner_posology"))
+    .setOutputCol("ner_posology_chunks")
+    .setWhiteList(Array("DRUG"))                # DRUG-FREQUENCY-DOSAGE-DURATION-FORM-ROUTE-STRENGTH
 
-val re_ner_chunk_filter = new RENerChunksFilter()
-    .setRelationPairs(Array("problem-test","problem-treatment"))
-    .setMaxSyntacticDistance(4)
-    .setDocLevelRelations(false)
-    .setInputCols(Array("ner_chunks", "dependencies"))
-    .setOutputCol("re_ner_chunks")
+val chunk_merger = ChunkMergeApproach()
+    .setInputCols("ner_clinical_chunks", "ner_posology_chunks")
+    .setOutputCol('merged_ner_chunks')
 
+## ZERO-SHOT RE Starting...
 
 val re_model = ZeroShotRelationExtractionModel.pretrained("re_zeroshot_biobert", "en", "clinical/models")
-    .setInputCols(Array("re_ner_chunks", "sentences"))
+    .setInputCols(Array("ner_chunks", "sentences"))
     .setOutputCol("relations")
-    .setMultiLabel(false)
+    .setMultiLabel(true)
 
 re_model.setRelationalCategories({ Map(
     "CURE" -> Array("{TREATMENT} cures {PROBLEM}."),
@@ -182,15 +171,15 @@ re_model.setRelationalCategories({ Map(
 
 val pipeline = new Pipeline()
     .setStages(Array(documenter, 
-                    tokenizer, 
-                    sentencer, 
-                    words_embedder, 
-                    pos_tagger, 
-                    ner_tagger, 
-                    ner_converter,
-                    dependency_parser, 
-                    re_ner_chunk_filter, 
-                    re_model))
+                     tokenizer, 
+                     sentencer, 
+                     words_embedder, 
+                     ner_clinical, 
+                     ner_clinical_converter,
+                     ner_posology,
+                     ner_posology_converter,
+                     chunk_merger,
+                     re_model))
 
 val model = pipeline.fit(data)
 val results = model.transform(data)
@@ -211,13 +200,13 @@ nlu.load("en.relation.zeroshot_biobert").predict("""Paracetamol can alleviate he
 
 
 ```bash
-+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-|relation                                                                                                                                                                                                                                                                                                                                                              |
-+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-|{category, 534, 613, REVEAL, {entity1_begin -> 48, relation -> REVEAL, hypothesis -> An MRI test reveals cancer., confidence -> 0.9760039, nli_prediction -> entail, entity1 -> TEST, syntactic_distance -> 4, chunk2 -> cancer, entity2_end -> 85, entity1_end -> 58, entity2_begin -> 80, entity2 -> PROBLEM, chunk1 -> An MRI test, sentence -> 1}, []}            |
-|{category, 267, 357, IMPROVE, {entity1_begin -> 0, relation -> IMPROVE, hypothesis -> Paracetamol improves sickness., confidence -> 0.98819494, nli_prediction -> entail, entity1 -> TREATMENT, syntactic_distance -> 3, chunk2 -> sickness, entity2_end -> 45, entity1_end -> 10, entity2_begin -> 38, entity2 -> PROBLEM, chunk1 -> Paracetamol, sentence -> 0}, []}|
-|{category, 0, 90, IMPROVE, {entity1_begin -> 0, relation -> IMPROVE, hypothesis -> Paracetamol improves headache., confidence -> 0.9929625, nli_prediction -> entail, entity1 -> TREATMENT, syntactic_distance -> 2, chunk2 -> headache, entity2_end -> 33, entity1_end -> 10, entity2_begin -> 26, entity2 -> PROBLEM, chunk1 -> Paracetamol, sentence -> 0}, []}    |
-+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
++-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+|relation                                                                                                                                                                                                                                                                                                                                                                 |
++-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+|{category, 268, 358, IMPROVE, {entity1_begin -> 0, relation -> IMPROVE, hypothesis -> Paracetamol improves sickness., confidence -> 0.98819494, nli_prediction -> entail, entity1 -> DRUG, syntactic_distance -> undefined, chunk2 -> sickness, entity2_end -> 45, entity1_end -> 10, entity2_begin -> 38, entity2 -> PROBLEM, chunk1 -> Paracetamol, sentence -> 0}, []}|
+|{category, 0, 90, IMPROVE, {entity1_begin -> 0, relation -> IMPROVE, hypothesis -> Paracetamol improves headache., confidence -> 0.9929625, nli_prediction -> entail, entity1 -> DRUG, syntactic_distance -> undefined, chunk2 -> headache, entity2_end -> 33, entity1_end -> 10, entity2_begin -> 26, entity2 -> PROBLEM, chunk1 -> Paracetamol, sentence -> 0}, []}    |
+|{category, 536, 615, REVEAL, {entity1_begin -> 48, relation -> REVEAL, hypothesis -> An MRI test reveals cancer., confidence -> 0.9760039, nli_prediction -> entail, entity1 -> TEST, syntactic_distance -> undefined, chunk2 -> cancer, entity2_end -> 85, entity1_end -> 58, entity2_begin -> 80, entity2 -> PROBLEM, chunk1 -> An MRI test, sentence -> 1}, []}       |
++-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
 ```
 
 
diff --git a/docs/_posts/josejuanmartinez/2022-08-09-finclf_bank_complaints_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-09-finclf_bank_complaints_en_3_2.md
index 18d722f562d806..25eadd0e5c41ff 100644
--- a/docs/_posts/josejuanmartinez/2022-08-09-finclf_bank_complaints_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-09-finclf_bank_complaints_en_3_2.md
@@ -99,7 +99,7 @@ https://www.consumerfinance.gov/data-research/consumer-complaints/#download-the-
                       Loans       0.78      0.78      0.78       472
 Money_Transfer_and_Currency       0.82      0.84      0.83       482
                    Mortgage       0.87      0.87      0.87       488
-                   accuracy         -         -       0.78      3340
+                   accuracy          -         -      0.78      3340
                   macro-avg       0.78      0.78      0.78      3340
                weighted-avg       0.78      0.78      0.78      3340
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-09-legclf_conventions_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-09-legclf_conventions_en_3_2.md
index 3f19d984544854..0697c03c18d9a4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-09-legclf_conventions_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-09-legclf_conventions_en_3_2.md
@@ -107,7 +107,7 @@ This model was originally trained with 3799 legal texts (see the original work [
 
 ```bash
 label            precision  recall   f1-score  support
-accuracy           -          -      0.90      120
+accuracy            -          -     0.90      120
 macro-avg        0.90       0.91     0.90      120
 weighted-avg     0.90       0.90     0.90      120
 ```     
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-09-legclf_human_rights_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-09-legclf_human_rights_en_3_2.md
index 9dedc1b122c226..1bdaed23e59c2d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-09-legclf_human_rights_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-09-legclf_human_rights_en_3_2.md
@@ -129,7 +129,7 @@ This model was originally trained on 6089 legal texts (see the original work [he
 
 ```bash
 label             precision  recall    f1-score    support
-accuracy            -          -       0.91        98
+accuracy             -          -      0.91        98
 macro-avg         0.92       0.91      0.91        98
 weighted-avg      0.92       0.90      0.91        98
 ```       
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_business_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_business_item_en_3_2.md
index 708558763fa63a..d7d13498388c91 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_business_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_business_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
     business       0.92      0.89      0.91       644
        other       0.90      0.93      0.92       684
-    accuracy        -         -        0.91      1328
+    accuracy          -         -      0.91      1328
    macro-avg       0.91      0.91      0.91      1328
 weighted-avg       0.91      0.91      0.91      1328
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_controls_procedures_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_controls_procedures_item_en_3_2.md
index 69cf2a8ba0bc8e..29d6f019d99853 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_controls_procedures_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_controls_procedures_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
               label  precision    recall  f1-score   support
 controls_procedures       0.94      0.93      0.94        86
               other       0.94      0.95      0.94        92
-           accuracy        -         -        0.94       178
+           accuracy          -         -      0.94       178
           macro-avg       0.94      0.94      0.94       178
        weighted-avg       0.94      0.94      0.94       178
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_equity_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_equity_item_en_3_2.md
index 21fefdf3125b37..af064a91b6792e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_equity_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_equity_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
       equity       0.84      0.85      0.84        66
        other       0.85      0.84      0.84        67
-    accuracy        -         -        0.84       133
+    accuracy          -         -      0.84       133
    macro-avg       0.84      0.84      0.84       133
 weighted-avg       0.84      0.84      0.84       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_compensation_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_compensation_item_en_3_2.md
index 9ea4ea79fd28e0..bbb1c1f7dda8c6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_compensation_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_compensation_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
                   label  precision    recall  f1-score   support
 executives_compensation       0.93      0.94      0.94       104
                   other       0.93      0.92      0.92        83
-               accuracy        -         -        0.93       187
+               accuracy          -         -      0.93       187
               macro-avg       0.93      0.93      0.93       187
            weighted-avg       0.93      0.93      0.93       187
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_item_en_3_2.md
index 7ffddb8ba946f4..8a65f1a1918b22 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_executives_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
   executives       0.96      0.98      0.97        46
        other       0.98      0.96      0.97        45
-    accuracy        -         -        0.97        91
+    accuracy          -         -      0.97        91
    macro-avg       0.97      0.97      0.97        91
 weighted-avg       0.97      0.97      0.97        91
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_exhibits_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_exhibits_item_en_3_2.md
index 1b0048eafde9a2..71181a4b97feb1 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_exhibits_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_exhibits_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
     exhibits       0.94      0.83      0.88        18
        other       0.88      0.95      0.91        22
-    accuracy        -         -        0.90        40
+    accuracy          -         -      0.90        40
    macro-avg       0.91      0.89      0.90        40
 weighted-avg       0.90      0.90      0.90        40
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_conditions_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_conditions_item_en_3_2.md
index a7c6ec4f228c53..a3a2303f1cfdcf 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_conditions_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_conditions_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
                label  precision    recall  f1-score   support
 financial_conditions       0.83      0.73      0.78       245
                other       0.75      0.84      0.80       237
-            accuracy        -         -        0.79       482
+            accuracy          -         -      0.79       482
            macro-avg       0.79      0.79      0.79       482
         weighted-avg       0.79      0.79      0.79       482
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_statements_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_statements_item_en_3_2.md
index c70116909fa65c..e054b4ebdcc2f4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_statements_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_financial_statements_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
                label  precision    recall  f1-score   support
 financial_statements       0.86      0.96      0.91      1204
                other       0.96      0.85      0.90      1254
-            accuracy        -         -        0.90      2458
+            accuracy          -         -      0.90      2458
            macro-avg       0.91      0.91      0.90      2458
         weighted-avg       0.91      0.90      0.90      2458
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_form_10k_summary_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_form_10k_summary_item_en_3_2.md
index f66ebc05198a00..87a5ecc83df915 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_form_10k_summary_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_form_10k_summary_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
            label  precision    recall  f1-score   support
 form_10k_summary       0.71      0.74      0.73       145
            other       0.76      0.73      0.74       162
-        accuracy        -         -        0.74       307
+        accuracy          -         -      0.74       307
        macro-avg       0.74      0.74      0.74       307
     weighted-avg       0.74      0.74      0.74       307
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_legal_proceedings_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_legal_proceedings_item_en_3_2.md
index f0d7be3838b74f..c81813d860ef76 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_legal_proceedings_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_legal_proceedings_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
             label  precision    recall  f1-score   support
 legal_proceedings       0.96      0.88      0.92        25
             other       0.92      0.97      0.95        36
-         accuracy        -         -        0.93        61
+         accuracy          -         -      0.93        61
         macro-avg       0.94      0.93      0.93        61
      weighted-avg       0.94      0.93      0.93        61
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_market_risk_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_market_risk_item_en_3_2.md
index eff1b45b6fcb52..542f0ce51fc113 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_market_risk_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_market_risk_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
  market_risk       0.79      0.82      0.81        74
        other       0.81      0.77      0.79        71
-    accuracy        -         -        0.80       145
+    accuracy          -         -      0.80       145
    macro-avg       0.80      0.80      0.80       145
 weighted-avg       0.80      0.80      0.80       145
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_properties_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_properties_item_en_3_2.md
index 87d11c77b09574..712d7fd7534058 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_properties_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_properties_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
        other       0.96      1.00      0.98        22
   properties       1.00      0.96      0.98        25
-    accuracy        -         -        0.98        47
+    accuracy          -         -      0.98        47
    macro-avg       0.98      0.98      0.98        47
 weighted-avg       0.98      0.98      0.98        47
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_risk_factors_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_risk_factors_item_en_3_2.md
index 2c3549c9a6565c..2cad3537bea12b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_risk_factors_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_risk_factors_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
        label  precision    recall  f1-score   support
        other       0.92      0.92      0.92      1277
 risk_factors       0.91      0.92      0.91      1228
-    accuracy        -         -        0.92      2505
+    accuracy          -         -      0.92      2505
    macro-avg       0.92      0.92      0.92      2505
 weighted-avg       0.92      0.92      0.92      2505
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-finclf_security_ownership_item_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-finclf_security_ownership_item_en_3_2.md
index 647f32cfbbb815..5f5d2a23667b91 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-finclf_security_ownership_item_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-finclf_security_ownership_item_en_3_2.md
@@ -104,7 +104,7 @@ Weak labelling on documents from Edgar database
              label  precision    recall  f1-score   support
              other       0.90      0.84      0.87        31
 security_ownership       0.78      0.86      0.82        21
-          accuracy        -         -        0.85        52
+          accuracy          -         -      0.85        52
          macro-avg       0.84      0.85      0.84        52
       weighted-avg       0.85      0.85      0.85        52
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_absence_of_certain_changes_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_absence_of_certain_changes_clause_en_3_2.md
index a9ca85e6ae8e6a..457bd780dfab97 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_absence_of_certain_changes_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_absence_of_certain_changes_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                      label  precision    recall  f1-score   support
 absence-of-certain-changes       0.99      0.99      0.99        67
                      other       0.99      0.99      0.99       175
-                  accuracy        -         -        0.99       242
+                  accuracy          -         -      0.99       242
                  macro-avg       0.99      0.99      0.99       242
               weighted-avg       0.99      0.99      0.99       242
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_acceleration_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_acceleration_clause_en_3_2.md
index e6f9cc7b86c168..9e3889a7a6ebea 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_acceleration_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_acceleration_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 acceleration       1.00      0.78      0.88        27
        other       0.92      1.00      0.96        65
-    accuracy        -         -        0.93        92
+    accuracy          -         -      0.93        92
    macro-avg       0.96      0.89      0.92        92
 weighted-avg       0.94      0.93      0.93        92
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_access_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_access_clause_en_3_2.md
index 7955d4947d2221..b6274df9026fb0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_access_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_access_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
       access       0.93      0.91      0.92        58
        other       0.97      0.97      0.97       149
-    accuracy        -         -        0.96       207
+    accuracy          -         -      0.96       207
    macro-avg       0.95      0.94      0.95       207
 weighted-avg       0.96      0.96      0.96       207
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_accounting_terms_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_accounting_terms_clause_en_3_2.md
index 4924d3e7a7b765..6a2dfc0223d2f6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_accounting_terms_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_accounting_terms_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
            label  precision    recall  f1-score   support
 accounting-terms       1.00      1.00      1.00        26
            other       1.00      1.00      1.00       109
-        accuracy        -         -        1.00       135
+        accuracy          -         -      1.00       135
        macro-avg       1.00      1.00      1.00       135
     weighted-avg       1.00      1.00      1.00       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_adjustments_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_adjustments_clause_en_3_2.md
index 796f4612262e34..109849d0325976 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_adjustments_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_adjustments_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  adjustments       0.92      0.89      0.91        27
        other       0.96      0.97      0.96        69
-    accuracy        -         -        0.95        96
+    accuracy          -         -      0.95        96
    macro-avg       0.94      0.93      0.93        96
 weighted-avg       0.95      0.95      0.95        96
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_agreements_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_agreements_clause_en_3_2.md
index fbb0272e73ab59..fcd77bf77d6efe 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_agreements_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_agreements_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   agreements       0.84      0.83      0.83       212
        other       0.94      0.94      0.94       618
-    accuracy        -         -        0.92       830
+    accuracy          -         -      0.92       830
    macro-avg       0.89      0.89      0.89       830
 weighted-avg       0.92      0.92      0.92       830
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_amendments_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_amendments_clause_en_3_2.md
index f6a7e2afe8ede2..767679a91dd84b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_amendments_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_amendments_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   amendments       0.95      0.96      0.95       227
        other       0.99      0.98      0.98       673
-    accuracy        -         -        0.98       900
+    accuracy          -         -      0.98       900
    macro-avg       0.97      0.97      0.97       900
 weighted-avg       0.98      0.98      0.98       900
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_application_of_proceeds_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_application_of_proceeds_clause_en_3_2.md
index 3ba576afe7ccb8..cc3e6b90bf1ed9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_application_of_proceeds_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_application_of_proceeds_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                   label  precision    recall  f1-score   support
 application-of-proceeds       0.95      0.95      0.95        37
                   other       0.98      0.98      0.98       111
-               accuracy        -         -        0.97       148
+               accuracy          -         -      0.97       148
               macro-avg       0.96      0.96      0.96       148
            weighted-avg       0.97      0.97      0.97       148
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_appointment_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_appointment_clause_en_3_2.md
index 80f8a5462e3a75..f9fea1911ab371 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_appointment_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_appointment_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  appointment       0.86      0.94      0.90        32
        other       0.98      0.95      0.96       101
-    accuracy        -         -        0.95       133
+    accuracy          -         -      0.95       133
    macro-avg       0.92      0.94      0.93       133
 weighted-avg       0.95      0.95      0.95       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_approvals_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_approvals_clause_en_3_2.md
index 6ab9bacd77c00d..d38159ef930b3b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_approvals_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_approvals_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    approvals       0.89      0.94      0.91        33
        other       0.97      0.95      0.96        82
-    accuracy        -         -        0.95       115
+    accuracy          -         -      0.95       115
    macro-avg       0.93      0.95      0.94       115
 weighted-avg       0.95      0.95      0.95       115
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_arbitration_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_arbitration_clause_en_3_2.md
index 756749bd2040ae..4a99326d412793 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_arbitration_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_arbitration_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  arbitration       0.95      0.95      0.95        21
        other       0.99      0.99      0.99        68
-    accuracy        -         -        0.98        89
+    accuracy          -         -      0.98        89
    macro-avg       0.97      0.97      0.97        89
 weighted-avg       0.98      0.98      0.98        89
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_assignments_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_assignments_clause_en_3_2.md
index 4b82a496ad4a79..6afe1addd2c629 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_assignments_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_assignments_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  assignments       0.91      0.93      0.92       103
        other       0.97      0.96      0.97       247
-    accuracy        -         -        0.95       350
+    accuracy          -         -      0.95       350
    macro-avg       0.94      0.95      0.95       350
 weighted-avg       0.95      0.95      0.95       350
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_authority_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_authority_clause_en_3_2.md
index dba88710af44c0..4d43d263afa38a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_authority_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_authority_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    authority       0.86      0.78      0.82        23
        other       0.95      0.97      0.96        99
-    accuracy        -         -        0.93       122
+    accuracy          -         -      0.93       122
    macro-avg       0.90      0.88      0.89       122
 weighted-avg       0.93      0.93      0.93       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_authorization_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_authorization_clause_en_3_2.md
index d3c3b3462b8b68..128a27f1346d33 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_authorization_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_authorization_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 authorization       1.00      0.83      0.91        35
         other       0.90      1.00      0.95        56
-     accuracy        -         -        0.93        91
+     accuracy          -         -      0.93        91
     macro-avg       0.95      0.91      0.93        91
  weighted-avg       0.94      0.93      0.93        91
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_auto_renewal_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_auto_renewal_clause_en_3_2.md
index ed4d255404ca64..0ae290aaeb6c61 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_auto_renewal_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_auto_renewal_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 auto_renewal       0.88      0.91      0.89        32
        other       0.97      0.96      0.97       104
-    accuracy        -         -        0.95       136
+    accuracy          -         -      0.95       136
    macro-avg       0.92      0.93      0.93       136
 weighted-avg       0.95      0.95      0.95       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_background_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_background_clause_en_3_2.md
index b6968c2119758e..8ad57a38506ff9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_background_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_background_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   background       0.73      0.92      0.81        26
        other       0.97      0.89      0.93        81
-    accuracy        -         -        0.90       107
+    accuracy          -         -      0.90       107
    macro-avg       0.85      0.91      0.87       107
 weighted-avg       0.91      0.90      0.90       107
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bank_accounts_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bank_accounts_clause_en_3_2.md
index f43a68cc6aa6e1..ffd1bf342e6caf 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bank_accounts_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bank_accounts_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 bank-accounts       1.00      0.98      0.99        43
         other       0.99      1.00      1.00       112
-     accuracy        -         -        0.99       155
+     accuracy          -         -      0.99       155
     macro-avg       1.00      0.99      0.99       155
  weighted-avg       0.99      0.99      0.99       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bankruptcy_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bankruptcy_clause_en_3_2.md
index 34fe07db3724f3..f74e27353a0dc4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bankruptcy_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bankruptcy_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   bankruptcy       1.00      0.73      0.84        26
        other       0.94      1.00      0.97       107
-    accuracy        -         -        0.95       133
+    accuracy          -         -      0.95       133
    macro-avg       0.97      0.87      0.91       133
 weighted-avg       0.95      0.95      0.94       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_base_salary_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_base_salary_clause_en_3_2.md
index 86f0c86de247ea..edaf09e869d527 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_base_salary_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_base_salary_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  base-salary       0.97      1.00      0.98        30
        other       1.00      0.99      1.00       106
-    accuracy        -         -        0.99       136
+    accuracy          -         -      0.99       136
    macro-avg       0.98      1.00      0.99       136
 weighted-avg       0.99      0.99      0.99       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_benefits_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_benefits_clause_en_3_2.md
index 5c6ae314356b1d..933452920ff28c 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_benefits_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_benefits_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     benefits       0.92      0.92      0.92        25
        other       0.98      0.98      0.98        89
-    accuracy        -         -        0.96       114
+    accuracy          -         -      0.96       114
    macro-avg       0.95      0.95      0.95       114
 weighted-avg       0.96      0.96      0.96       114
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bereavement_leave_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bereavement_leave_clause_en_3_2.md
index 65ac153da0c315..e013e72335769b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bereavement_leave_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bereavement_leave_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 bereavement-leave       1.00      1.00      1.00        30
             other       1.00      1.00      1.00        76
-         accuracy        -         -        1.00       106
+         accuracy          -         -      1.00       106
         macro-avg       1.00      1.00      1.00       106
      weighted-avg       1.00      1.00      1.00       106
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_binding_effect_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_binding_effect_clause_en_3_2.md
index e97a11e5c53cb0..1991a7f62afade 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_binding_effect_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_binding_effect_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
 binding-effect       0.98      0.98      0.98        46
          other       0.99      0.99      0.99        90
-      accuracy        -         -        0.99       136
+      accuracy          -         -      0.99       136
      macro-avg       0.98      0.98      0.98       136
   weighted-avg       0.99      0.99      0.99       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bonus_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bonus_clause_en_3_2.md
index 495571d90765e9..f15a7dd94ba2cf 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_bonus_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_bonus_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        bonus       0.97      0.95      0.96        38
        other       0.98      0.99      0.98        95
-    accuracy        -         -        0.98       133
+    accuracy          -         -      0.98       133
    macro-avg       0.98      0.97      0.97       133
 weighted-avg       0.98      0.98      0.98       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_books_and_records_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_books_and_records_clause_en_3_2.md
index 5d6d5f9ab2292d..c1278be8029c86 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_books_and_records_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_books_and_records_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 books-and-records       0.91      0.94      0.92        31
             other       0.98      0.97      0.98       104
-         accuracy        -         -        0.96       135
+         accuracy          -         -      0.96       135
         macro-avg       0.94      0.95      0.95       135
      weighted-avg       0.96      0.96      0.96       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_brokers_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_brokers_clause_en_3_2.md
index 2bb4900b8ecdb7..667ef1461946c6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_brokers_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_brokers_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
      brokers       0.96      0.99      0.97        77
        other       1.00      0.99      0.99       219
-    accuracy        -         -        0.99       296
+    accuracy          -         -      0.99       296
    macro-avg       0.98      0.99      0.98       296
 weighted-avg       0.99      0.99      0.99       296
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_cancellation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_cancellation_clause_en_3_2.md
index b615d8edfdd45e..f2919936a13731 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_cancellation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_cancellation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 cancellation       0.92      0.92      0.92        38
        other       0.97      0.97      0.97        96
-    accuracy        -         -        0.96       134
+    accuracy          -         -      0.96       134
    macro-avg       0.94      0.94      0.94       134
 weighted-avg       0.96      0.96      0.96       134
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_capitalization_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_capitalization_clause_en_3_2.md
index 8e4a3158342b69..2ea19745ddf8e4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_capitalization_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_capitalization_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
 capitalization       1.00      0.89      0.94        19
          other       0.96      1.00      0.98        53
-      accuracy        -         -        0.97        72
+      accuracy          -         -      0.97        72
      macro-avg       0.98      0.95      0.96        72
   weighted-avg       0.97      0.97      0.97        72
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_captions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_captions_clause_en_3_2.md
index 587f0899fd52ac..5e1333ddb93660 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_captions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_captions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     captions       0.96      1.00      0.98        50
        other       1.00      0.98      0.99       105
-    accuracy        -         -        0.99       155
+    accuracy          -         -      0.99       155
    macro-avg       0.98      0.99      0.99       155
 weighted-avg       0.99      0.99      0.99       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_cause_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_cause_clause_en_3_2.md
index 381f72fe6492c8..e6df1c1a848001 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_cause_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_cause_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        cause       0.96      1.00      0.98        27
        other       1.00      0.99      1.00       108
-    accuracy        -         -        0.99       135
+    accuracy          -         -      0.99       135
    macro-avg       0.98      1.00      0.99       135
 weighted-avg       0.99      0.99      0.99       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_certain_definitions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_certain_definitions_clause_en_3_2.md
index 4750899f91c3a4..c6994b14a4cb0c 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_certain_definitions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_certain_definitions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
 certain-definitions       0.95      0.84      0.89        49
               other       0.94      0.99      0.96       138
-           accuracy        -         -        0.95       187
+           accuracy          -         -      0.95       187
           macro-avg       0.95      0.91      0.93       187
        weighted-avg       0.95      0.95      0.95       187
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_certificates_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_certificates_clause_en_3_2.md
index 9746caceea9800..6ed0eee997c702 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_certificates_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_certificates_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 certificates       0.88      0.80      0.84        35
        other       0.94      0.96      0.95       105
-    accuracy        -         -        0.92       140
+    accuracy          -         -      0.92       140
    macro-avg       0.91      0.88      0.89       140
 weighted-avg       0.92      0.92      0.92       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_in_control_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_in_control_clause_en_3_2.md
index 4fd26d5d24cba4..bdcda475c89c04 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_in_control_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_in_control_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             legal  precision    recall  f1-score   support
 change-in-control       0.89      0.96      0.92        25
             other       0.99      0.96      0.97        76
-         accuracy        -         -        0.96       101
+         accuracy          -         -      0.96       101
         macro-avg       0.94      0.96      0.95       101
      weighted-avg       0.96      0.96      0.96       101
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_of_control_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_of_control_clause_en_3_2.md
index 156b97026aa696..175eed4aa31ddf 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_of_control_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_change_of_control_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 change-of-control       1.00      0.86      0.92        28
             other       0.94      1.00      0.97        68
-         accuracy        -         -        0.96        96
+         accuracy          -         -      0.96        96
         macro-avg       0.97      0.93      0.95        96
      weighted-avg       0.96      0.96      0.96        96
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_closing_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_closing_clause_en_3_2.md
index 136ea64307fcc0..6841047a6ed888 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_closing_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_closing_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
      closing       0.94      0.91      0.93        56
        other       0.97      0.98      0.97       143
-    accuracy        -         -        0.96       199
+    accuracy          -         -      0.96       199
    macro-avg       0.95      0.94      0.95       199
 weighted-avg       0.96      0.96      0.96       199
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_collateral_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_collateral_clause_en_3_2.md
index e7c531a837bb9f..7d0e6c4de8932b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_collateral_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_collateral_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   collateral       0.92      0.89      0.90        37
        other       0.94      0.96      0.95        69
-    accuracy        -         -        0.93       106
+    accuracy          -         -      0.93       106
    macro-avg       0.93      0.92      0.93       106
 weighted-avg       0.93      0.93      0.93       106
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_and_benefits_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_and_benefits_clause_en_3_2.md
index 2c3d04c2a0454c..81ac3b79820ff0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_and_benefits_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_and_benefits_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                     label  precision    recall  f1-score   support
 compensation-and-benefits       0.94      0.89      0.91        36
                     other       0.97      0.98      0.97       119
-                 accuracy        -         -        0.96       155
+                 accuracy          -         -      0.96       155
                 macro-avg       0.95      0.94      0.94       155
              weighted-avg       0.96      0.96      0.96       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_clause_en_3_2.md
index f5e32a6a9d12b9..1fb8d155625e46 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compensation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 compensation       0.94      0.88      0.91        34
        other       0.95      0.97      0.96        78
-    accuracy        -         -        0.95       112
+    accuracy          -         -      0.95       112
    macro-avg       0.94      0.93      0.94       112
 weighted-avg       0.95      0.95      0.95       112
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_clause_en_3_2.md
index 8ae419c387a284..1a4cb8f7119aa0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   compliance       0.80      0.82      0.81        67
        other       0.94      0.93      0.93       188
-    accuracy        -         -        0.90       255
+    accuracy          -         -      0.90       255
    macro-avg       0.87      0.87      0.87       255
 weighted-avg       0.90      0.90      0.90       255
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_with_laws_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_with_laws_clause_en_3_2.md
index 38a67849116aaf..2cb69853805818 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_with_laws_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_compliance_with_laws_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 compliance-with-laws       0.92      0.94      0.93        64
                other       0.97      0.96      0.97       141
-            accuracy        -         -        0.96       205
+            accuracy          -         -      0.96       205
            macro-avg       0.95      0.95      0.95       205
         weighted-avg       0.96      0.96      0.96       205
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_condemnation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_condemnation_clause_en_3_2.md
index c23affc487d0c4..7c2c3f2e32ba60 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_condemnation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_condemnation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 condemnation       0.96      1.00      0.98        23
        other       1.00      0.99      0.99        85
-    accuracy        -         -        0.99       108
+    accuracy          -         -      0.99       108
    macro-avg       0.98      0.99      0.99       108
 weighted-avg       0.99      0.99      0.99       108
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_clause_en_3_2.md
index 879656962659cb..335168e84ab9bd 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   conditions       0.89      0.78      0.83        82
        other       0.90      0.95      0.93       175
-    accuracy        -         -        0.90       257
+    accuracy          -         -      0.90       257
    macro-avg       0.90      0.87      0.88       257
 weighted-avg       0.90      0.90      0.90       257
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_to_effectiveness_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_to_effectiveness_clause_en_3_2.md
index 6e9cf9dad485b7..c777f7578dab1f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_to_effectiveness_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conditions_to_effectiveness_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                       label  precision    recall  f1-score   support
 conditions-to-effectiveness       0.98      1.00      0.99        46
                       other       1.00      0.99      1.00       143
-                   accuracy        -         -        0.99       189
+                   accuracy          -         -      0.99       189
                   macro-avg       0.99      1.00      0.99       189
                weighted-avg       0.99      0.99      0.99       189
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conduct_of_business_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conduct_of_business_clause_en_3_2.md
index dbbd658dc74a02..7f83f572e8de09 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conduct_of_business_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conduct_of_business_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
 conduct-of-business       0.96      0.75      0.84        32
               other       0.92      0.99      0.96        98
-           accuracy        -         -        0.93       130
+           accuracy          -         -      0.93       130
           macro-avg       0.94      0.87      0.90       130
        weighted-avg       0.93      0.93      0.93       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_confidential_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_confidential_clause_en_3_2.md
index 79dfd33eafa2c1..4ab85ae41859fb 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_confidential_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_confidential_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 confidential       0.90      0.90      0.90        41
        other       0.97      0.97      0.97       127
-    accuracy        -         -        0.95       168
+    accuracy          -         -      0.95       168
    macro-avg       0.94      0.94      0.94       168
 weighted-avg       0.95      0.95      0.95       168
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conflict_of_interest_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conflict_of_interest_clause_en_3_2.md
index f159b8e56613ff..0c402f1f9d5a3e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_conflict_of_interest_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_conflict_of_interest_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 conflict-of-interest       0.90      0.81      0.85        32
                other       0.95      0.97      0.96       108
-            accuracy        -         -        0.94       140
+            accuracy          -         -      0.94       140
            macro-avg       0.92      0.89      0.91       140
         weighted-avg       0.93      0.94      0.93       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_consents_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_consents_clause_en_3_2.md
index 48d21f88bcdcbc..cd5278de5d9dbf 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_consents_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_consents_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     consents       0.92      0.94      0.93        90
        other       0.97      0.96      0.97       188
-    accuracy        -         -        0.96       278
+    accuracy          -         -      0.96       278
    macro-avg       0.95      0.95      0.95       278
 weighted-avg       0.96      0.96      0.96       278
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_consideration_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_consideration_clause_en_3_2.md
index 90ec7717bd61f2..9244c225d9c4aa 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_consideration_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_consideration_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 consideration       0.73      0.65      0.69        34
         other       0.91      0.94      0.92       128
-     accuracy        -         -        0.88       162
+     accuracy          -         -      0.88       162
     macro-avg       0.82      0.79      0.81       162
  weighted-avg       0.87      0.88      0.87       162
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_construction_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_construction_clause_en_3_2.md
index ef7836bf9de706..fc00e319a6a0cb 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_construction_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_construction_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 construction       0.88      0.84      0.86        43
        other       0.90      0.93      0.92        70
-    accuracy        -         -        0.89       113
+    accuracy          -         -      0.89       113
    macro-avg       0.89      0.88      0.89       113
 weighted-avg       0.89      0.89      0.89       113
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_contracts_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_contracts_clause_en_3_2.md
index 93abaa85752fd6..16d9ce752787b9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_contracts_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_contracts_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    contracts       0.87      0.77      0.82        35
        other       0.85      0.92      0.88        50
-    accuracy        -         -        0.86        85
+    accuracy          -         -      0.86        85
    macro-avg       0.86      0.85      0.85        85
 weighted-avg       0.86      0.86      0.86        85
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_contribution_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_contribution_clause_en_3_2.md
index 85d73c9e58a4e9..6d2be6b6ca026d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_contribution_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_contribution_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 contribution       1.00      0.88      0.93        16
        other       0.96      1.00      0.98        43
-    accuracy        -         -        0.97        59
+    accuracy          -         -      0.97        59
    macro-avg       0.98      0.94      0.96        59
 weighted-avg       0.97      0.97      0.97        59
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_cooperation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_cooperation_clause_en_3_2.md
index c9bad273ba6d41..3772f530d34c2b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_cooperation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_cooperation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  cooperation       0.91      0.94      0.93        34
        other       0.98      0.97      0.97        96
-    accuracy        -         -        0.96       130
+    accuracy          -         -      0.96       130
    macro-avg       0.95      0.95      0.95       130
 weighted-avg       0.96      0.96      0.96       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_corporate_existence_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_corporate_existence_clause_en_3_2.md
index c0b22112bd7f6f..10f7845a9bc9fe 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_corporate_existence_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_corporate_existence_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
 corporate-existence       0.91      0.93      0.92        43
               other       0.96      0.95      0.95        76
-           accuracy        -         -        0.94       119
+           accuracy          -         -      0.94       119
           macro-avg       0.93      0.94      0.94       119
        weighted-avg       0.94      0.94      0.94       119
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_costs_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_costs_clause_en_3_2.md
index 06c700a1db530f..8a85c93854c026 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_costs_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_costs_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        costs       0.89      0.85      0.87        48
        other       0.95      0.96      0.95       128
-    accuracy        -         -        0.93       176
+    accuracy          -         -      0.93       176
    macro-avg       0.92      0.91      0.91       176
 weighted-avg       0.93      0.93      0.93       176
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_counterparts_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_counterparts_clause_en_3_2.md
index af7588a7803a36..44bbf60f5e90d7 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_counterparts_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_counterparts_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 counterparts       1.00      1.00      1.00        38
        other       1.00      1.00      1.00        97
-    accuracy        -         -        1.00       135
+    accuracy          -         -      1.00       135
    macro-avg       1.00      1.00      1.00       135
 weighted-avg       1.00      1.00      1.00       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_covenants_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_covenants_clause_en_3_2.md
index 38dcd3678a4932..47c779619f5dd6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_covenants_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_covenants_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    covenants       0.88      0.83      0.85       216
        other       0.93      0.95      0.94       488
-    accuracy        -         -        0.91       704
+    accuracy          -         -      0.91       704
    macro-avg       0.90      0.89      0.90       704
 weighted-avg       0.91      0.91      0.91       704
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_currency_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_currency_clause_en_3_2.md
index ade56291fe2163..f5bf9290d8cc06 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_currency_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_currency_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     currency       1.00      0.98      0.99        49
        other       0.99      1.00      0.99        96
-    accuracy        -         -        0.99       145
+    accuracy          -         -      0.99       145
    macro-avg       0.99      0.99      0.99       145
 weighted-avg       0.99      0.99      0.99       145
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_death_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_death_clause_en_3_2.md
index 7a5b131ba0f9d6..2c1ff7f17abd98 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_death_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_death_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        death       0.98      0.95      0.96        43
        other       0.98      0.99      0.99       112
-    accuracy        -         -        0.98       155
+    accuracy          -         -      0.98       155
    macro-avg       0.98      0.97      0.98       155
 weighted-avg       0.98      0.98      0.98       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_and_remedies_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_and_remedies_clause_en_3_2.md
index a3623be5a84266..fbcaff2d89566d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_and_remedies_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_and_remedies_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
 defaults-and-remedies       0.92      0.88      0.90        26
                 other       0.97      0.98      0.97        90
-             accuracy        -         -        0.96       116
+             accuracy          -         -      0.96       116
             macro-avg       0.94      0.93      0.94       116
          weighted-avg       0.96      0.96      0.96       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_clause_en_3_2.md
index 8d50041910216f..df69bce72b3a73 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_defaults_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     defaults       0.93      0.90      0.91       173
        other       0.95      0.96      0.95       316
-    accuracy        -         -        0.94       489
+    accuracy          -         -      0.94       489
    macro-avg       0.94      0.93      0.93       489
 weighted-avg       0.94      0.94      0.94       489
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_and_interpretation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_and_interpretation_clause_en_3_2.md
index a2ac88d969274f..38df30ec2d9d51 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_and_interpretation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_and_interpretation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                          label  precision    recall  f1-score   support
 definitions-and-interpretation       0.96      0.94      0.95        54
                          other       0.98      0.99      0.98       156
-                      accuracy        -         -        0.98       210
+                      accuracy          -         -      0.98       210
                      macro-avg       0.97      0.97      0.97       210
                   weighted-avg       0.98      0.98      0.98       210
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_clause_en_3_2.md
index 4b200912a8d5c1..3129110a7f39cb 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_definitions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  definitions       0.90      0.86      0.88        81
        other       0.93      0.95      0.94       148
-    accuracy        -         -        0.92       229
+    accuracy          -         -      0.92       229
    macro-avg       0.91      0.91      0.91       229
 weighted-avg       0.92      0.92      0.92       229
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_delegation_of_duties_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_delegation_of_duties_clause_en_3_2.md
index 7a19623ded3260..8044f7ce36c421 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_delegation_of_duties_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_delegation_of_duties_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 delegation-of-duties       0.97      0.94      0.95        33
                other       0.98      0.99      0.99       103
-            accuracy         -         -       0.98       136
+            accuracy          -         -      0.98       136
            macro-avg       0.97      0.96      0.97       136
         weighted-avg       0.98      0.98      0.98       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_delivery_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_delivery_clause_en_3_2.md
index 64fa70f48006cc..1c39d696e33156 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_delivery_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_delivery_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     delivery       0.86      0.86      0.86        35
        other       0.94      0.94      0.94        80
-    accuracy        -         -        0.91       115
+    accuracy          -         -      0.91       115
    macro-avg       0.90      0.90      0.90       115
 weighted-avg       0.91      0.91      0.91       115
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disability_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disability_clause_en_3_2.md
index 550577ca433cc3..d020cfe8d22c85 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disability_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disability_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   disability       0.93      0.96      0.94        26
        other       0.99      0.98      0.98        96
-    accuracy        -         -        0.98       122
+    accuracy          -         -      0.98       122
    macro-avg       0.96      0.97      0.96       122
 weighted-avg       0.98      0.98      0.98       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclaimer_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclaimer_clause_en_3_2.md
index 9cd7f45acd22e8..4f300220b347ca 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclaimer_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclaimer_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   disclaimer       0.94      0.89      0.91        35
        other       0.93      0.96      0.95        55
-    accuracy        -         -        0.93        90
+    accuracy          -         -      0.93        90
    macro-avg       0.93      0.92      0.93        90
 weighted-avg       0.93      0.93      0.93        90
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclosure_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclosure_clause_en_3_2.md
index b6245fb4b00ea6..62926a3b1a968d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclosure_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disclosure_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   disclosure       0.93      0.82      0.87        33
        other       0.93      0.98      0.95        86
-    accuracy        -         -        0.93       119
+    accuracy          -         -      0.93       119
    macro-avg       0.93      0.90      0.91       119
 weighted-avg       0.93      0.93      0.93       119
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_dispute_resolution_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_dispute_resolution_clause_en_3_2.md
index eb411a0b92254f..5df390baa44a52 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_dispute_resolution_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_dispute_resolution_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 dispute-resolution       0.84      0.84      0.84        32
              other       0.94      0.94      0.94        84
-          accuracy        -         -        0.91       116
+          accuracy          -         -      0.91       116
          macro-avg       0.89      0.89      0.89       116
       weighted-avg       0.91      0.91      0.91       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disputes_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disputes_clause_en_3_2.md
index 260e5d9c98920a..afad501a620dc5 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_disputes_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_disputes_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     disputes       0.96      0.77      0.86        31
        other       0.93      0.99      0.96        99
-    accuracy        -         -        0.94       130
+    accuracy          -         -      0.94       130
    macro-avg       0.95      0.88      0.91       130
 weighted-avg       0.94      0.94      0.94       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_dissolution_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_dissolution_clause_en_3_2.md
index a642f458305225..be57aa0e8ca657 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_dissolution_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_dissolution_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  dissolution       0.95      0.90      0.92        39
        other       0.97      0.99      0.98       137
-    accuracy        -         -        0.97       176
+    accuracy          -         -      0.97       176
    macro-avg       0.96      0.94      0.95       176
 weighted-avg       0.97      0.97      0.97       176
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_distributions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_distributions_clause_en_3_2.md
index 7c57fed2636186..5dda98086f84f2 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_distributions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_distributions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 distributions       0.88      0.90      0.89        41
         other       0.93      0.92      0.92        60
-     accuracy        -         -        0.91       101
+     accuracy          -         -      0.91       101
     macro-avg       0.91      0.91      0.91       101
  weighted-avg       0.91      0.91      0.91       101
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_dividends_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_dividends_clause_en_3_2.md
index 058fe43834c590..f9ca28aa86ab9a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_dividends_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_dividends_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    dividends       0.93      0.96      0.95        28
        other       0.98      0.97      0.98        64
-    accuracy        -         -        0.97        92
+    accuracy          -         -      0.97        92
    macro-avg       0.96      0.97      0.96        92
 weighted-avg       0.97      0.97      0.97        92
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_documents_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_documents_clause_en_3_2.md
index a295594c0b6ded..2234e6ee3bf51e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_documents_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_documents_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    documents       0.82      0.77      0.79        81
        other       0.93      0.95      0.94       284
-    accuracy        -         -        0.91       365
+    accuracy          -         -      0.91       365
    macro-avg       0.88      0.86      0.87       365
 weighted-avg       0.91      0.91      0.91       365
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_and_termination_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_and_termination_clause_en_3_2.md
index bcf8fcf3fc0c1a..adebd27f976444 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_and_termination_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_and_termination_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                    label  precision    recall  f1-score   support
 duration-and-termination       0.93      0.89      0.91        28
                    other       0.97      0.98      0.98       107
-                accuracy        -         -        0.96       135
+                accuracy          -         -      0.96       135
                macro-avg       0.95      0.94      0.94       135
             weighted-avg       0.96      0.96      0.96       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_clause_en_3_2.md
index 79fee63b6334c3..88fe3c6be31ab0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_duration_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     duration       0.97      0.95      0.96        37
        other       0.98      0.99      0.98        86
-    accuracy        -         -        0.98       123
+    accuracy          -         -      0.98       123
    macro-avg       0.97      0.97      0.97       123
 weighted-avg       0.98      0.98      0.98       123
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_duties_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_duties_clause_en_3_2.md
index c4e4ef1a0f84cb..21bb75606deb1e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_duties_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_duties_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
       duties       0.96      0.92      0.94        24
        other       0.97      0.99      0.98        68
-    accuracy        -         -        0.97        92
+    accuracy          -         -      0.97        92
    macro-avg       0.96      0.95      0.96        92
 weighted-avg       0.97      0.97      0.97        92
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_effective_date_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_effective_date_clause_en_3_2.md
index a374ce413cd708..7ac826714eed9a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_effective_date_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_effective_date_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
 effective-date       0.97      0.85      0.91        46
          other       0.93      0.99      0.96        94
-      accuracy        -         -        0.94       140
+      accuracy          -         -      0.94       140
      macro-avg       0.95      0.92      0.93       140
   weighted-avg       0.94      0.94      0.94       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_effectiveness_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_effectiveness_clause_en_3_2.md
index 85b8b1c9cfa4c7..c0dcc056c8cf90 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_effectiveness_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_effectiveness_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 effectiveness       0.94      0.86      0.90        37
         other       0.95      0.98      0.96        93
-     accuracy        -         -        0.95       130
+     accuracy          -         -      0.95       130
     macro-avg       0.94      0.92      0.93       130
  weighted-avg       0.95      0.95      0.95       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_employees_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_employees_clause_en_3_2.md
index 75f7e0946b5a77..43afbda27ead45 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_employees_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_employees_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    employees       0.90      0.94      0.92        80
        other       0.98      0.97      0.98       276
-    accuracy        -         -        0.96       356
+    accuracy          -         -      0.96       356
    macro-avg       0.94      0.95      0.95       356
 weighted-avg       0.96      0.96      0.96       356
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_employment_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_employment_clause_en_3_2.md
index 4eb197ebfe40a7..4e713588f4564a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_employment_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_employment_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   employment       0.91      0.89      0.90        35
        other       0.95      0.96      0.96        84
-    accuracy        -         -        0.94       119
+    accuracy          -         -      0.94       119
    macro-avg       0.93      0.93      0.93       119
 weighted-avg       0.94      0.94      0.94       119
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_erisa_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_erisa_clause_en_3_2.md
index f7d0dfe9460570..a3172a960c4b76 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_erisa_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_erisa_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        erisa       0.95      1.00      0.98        21
        other       1.00      0.98      0.99        64
-    accuracy        -         -        0.99        85
+    accuracy          -         -      0.99        85
    macro-avg       0.98      0.99      0.98        85
 weighted-avg       0.99      0.99      0.99        85
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exceptions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exceptions_clause_en_3_2.md
index 5eaebf130620f9..cc2392459fee60 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exceptions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exceptions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   exceptions       0.88      0.94      0.91        32
        other       0.97      0.95      0.96        79
-    accuracy        -         -        0.95       111
+    accuracy          -         -      0.95       111
    macro-avg       0.93      0.94      0.94       111
 weighted-avg       0.95      0.95      0.95       111
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusions_clause_en_3_2.md
index d0309869401187..0f459256534032 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   exclusions       0.97      0.91      0.94        43
        other       0.95      0.99      0.97        70
-    accuracy        -         -        0.96       113
+    accuracy          -         -      0.96       113
    macro-avg       0.96      0.95      0.95       113
 weighted-avg       0.96      0.96      0.96       113
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusivity_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusivity_clause_en_3_2.md
index 265a0b502b7479..2767784f4609df 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusivity_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exclusivity_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  exclusivity       0.79      0.61      0.69        36
        other       0.86      0.93      0.90        92
-    accuracy        -         -        0.84       128
+    accuracy          -         -      0.84       128
    macro-avg       0.82      0.77      0.79       128
 weighted-avg       0.84      0.84      0.84       128
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_clause_en_3_2.md
index 4ec0ad51cfe85b..ff25b0bc28b2c0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_clause_en_3_2.md
@@ -105,7 +105,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    execution       0.87      0.77      0.82        44
        other       0.89      0.94      0.91        84
-    accuracy        -         -        0.88       128
+    accuracy          -         -      0.88       128
    macro-avg       0.88      0.86      0.87       128
 weighted-avg       0.88      0.88      0.88       128
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_in_counterparts_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_in_counterparts_clause_en_3_2.md
index 37ea785c5af8b4..e4b9274abc7d0c 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_in_counterparts_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_execution_in_counterparts_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                     label  precision    recall  f1-score   support
 execution-in-counterparts       1.00      0.95      0.98        42
                     other       0.98      1.00      0.99       128
-                 accuracy        -         -        0.99       170
+                 accuracy          -         -      0.99       170
                 macro-avg       0.99      0.98      0.98       170
              weighted-avg       0.99      0.99      0.99       170
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exercise_of_option_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exercise_of_option_clause_en_3_2.md
index 79630370126728..deff5cef087554 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exercise_of_option_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exercise_of_option_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 exercise-of-option       0.97      0.90      0.93        39
              other       0.96      0.99      0.97        91
-          accuracy        -         -        0.96       130
+          accuracy          -         -      0.96       130
          macro-avg       0.96      0.94      0.95       130
       weighted-avg       0.96      0.96      0.96       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exhibits_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exhibits_clause_en_3_2.md
index 5a7db601be5bd0..33a57b90640c4a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_exhibits_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_exhibits_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     exhibits       0.95      0.97      0.96        59
        other       0.98      0.97      0.97        96
-    accuracy        -         -        0.97       155
+    accuracy          -         -      0.97       155
    macro-avg       0.96      0.97      0.97       155
 weighted-avg       0.97      0.97      0.97       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_expenses_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_expenses_clause_en_3_2.md
index aec1e6e1f4116e..6f6236b925fdff 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_expenses_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_expenses_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     expenses       0.97      0.97      0.97        61
        other       0.98      0.98      0.98       108
-    accuracy        -         -        0.98       169
+    accuracy          -         -      0.98       169
    macro-avg       0.97      0.97      0.97       169
 weighted-avg       0.98      0.98      0.98       169
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_fees_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_fees_clause_en_3_2.md
index 1da209884ded70..1c965f7116667b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_fees_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_fees_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
         fees       0.95      0.94      0.94        81
        other       0.98      0.99      0.98       284
-    accuracy        -         -        0.98       365
+    accuracy          -         -      0.98       365
    macro-avg       0.97      0.96      0.96       365
 weighted-avg       0.98      0.98      0.98       365
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_information_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_information_clause_en_3_2.md
index 62198785dc8f6d..2a866e6c0e3da6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_information_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_information_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
 financial-information       0.95      0.78      0.85        68
                 other       0.92      0.98      0.95       167
-             accuracy        -         -        0.92       235
+             accuracy          -         -      0.92       235
             macro-avg       0.93      0.88      0.90       235
          weighted-avg       0.92      0.92      0.92       235
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_statements_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_statements_clause_en_3_2.md
index be53c760a8bb54..d0979d380ddb15 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_statements_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_financial_statements_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 financial-statements       1.00      1.00      1.00        23
                other       1.00      1.00      1.00        40
-            accuracy        -         -        1.00        63
+            accuracy          -         -      1.00        63
            macro-avg       1.00      1.00      1.00        63
         weighted-avg       1.00      1.00      1.00        63
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_fiscal_year_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_fiscal_year_clause_en_3_2.md
index 764b3d3848e318..f15b043c7fa2ef 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_fiscal_year_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_fiscal_year_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  fiscal-year       1.00      0.96      0.98        45
        other       0.98      1.00      0.99        91
-    accuracy        -         -        0.99       136
+    accuracy          -         -      0.99       136
    macro-avg       0.99      0.98      0.98       136
 weighted-avg       0.99      0.99      0.99       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_force_majeure_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_force_majeure_clause_en_3_2.md
index f88e04baba94c1..4723dd64e2693a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_force_majeure_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_force_majeure_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 force-majeure       1.00      1.00      1.00        32
         other       1.00      1.00      1.00        90
-     accuracy        -         -        1.00       122
+     accuracy          -         -      1.00       122
     macro-avg       1.00      1.00      1.00       122
  weighted-avg       1.00      1.00      1.00       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_fractional_shares_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_fractional_shares_clause_en_3_2.md
index fdc1b309b81e55..b919b1c8c2f880 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_fractional_shares_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_fractional_shares_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 fractional-shares       1.00      1.00      1.00        36
             other       1.00      1.00      1.00       107
-         accuracy        -         -        1.00       143
+         accuracy          -         -      1.00       143
         macro-avg       1.00      1.00      1.00       143
      weighted-avg       1.00      1.00      1.00       143
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_full_disclosure_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_full_disclosure_clause_en_3_2.md
index ae1dc432bba8b0..29b5c11862d848 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_full_disclosure_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_full_disclosure_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
 full-disclosure       1.00      0.94      0.97        31
           other       0.98      1.00      0.99       104
-       accuracy        -         -        0.99       135
+       accuracy          -         -      0.99       135
       macro-avg       0.99      0.97      0.98       135
    weighted-avg       0.99      0.99      0.99       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_further_assurances_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_further_assurances_clause_en_3_2.md
index 7a0b34f6284e37..d917ac6c9c8bd4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_further_assurances_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_further_assurances_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 further-assurances       1.00      1.00      1.00        41
              other       1.00      1.00      1.00        99
-          accuracy        -         -        1.00       140
+          accuracy          -         -      1.00       140
          macro-avg       1.00      1.00      1.00       140
       weighted-avg       1.00      1.00      1.00       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_general_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_general_clause_en_3_2.md
index a9d8228666230d..189e7a56fded98 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_general_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_general_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
      general       0.59      0.43      0.50        51
        other       0.80      0.88      0.84       129
-    accuracy        -         -        0.76       180
+    accuracy          -         -      0.76       180
    macro-avg       0.70      0.66      0.67       180
 weighted-avg       0.74      0.76      0.74       180
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_good_reason_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_good_reason_clause_en_3_2.md
index 791f344ac4ffb6..99100e8875ace4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_good_reason_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_good_reason_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  good-reason       0.97      0.92      0.94        36
        other       0.96      0.99      0.98        82
-    accuracy        -         -        0.97       118
+    accuracy          -         -      0.97       118
    macro-avg       0.97      0.95      0.96       118
 weighted-avg       0.97      0.97      0.97       118
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_option_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_option_clause_en_3_2.md
index ff9c06e5268114..70ba5bd5de1474 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_option_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_option_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
 grant-of-option       0.94      1.00      0.97        34
           other       1.00      0.98      0.99       109
-       accuracy        -         -        0.99       143
+       accuracy          -         -      0.99       143
       macro-avg       0.97      0.99      0.98       143
    weighted-avg       0.99      0.99      0.99       143
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_security_interest_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_security_interest_clause_en_3_2.md
index bb97e19465202c..ae5429743cc21a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_security_interest_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_grant_of_security_interest_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                      label  precision    recall  f1-score   support
 grant-of-security-interest       1.00      0.91      0.95        34
                      other       0.97      1.00      0.98        85
-                  accuracy        -         -        0.97       119
+                  accuracy          -         -      0.97       119
                  macro-avg       0.98      0.96      0.97       119
               weighted-avg       0.98      0.97      0.97       119
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_guarantee_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_guarantee_clause_en_3_2.md
index cd91cef20d8446..5a99bd3515e72e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_guarantee_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_guarantee_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    guarantee       0.88      0.80      0.83        88
        other       0.91      0.95      0.93       192
-    accuracy        -         -        0.90       280
+    accuracy          -         -      0.90       280
    macro-avg       0.89      0.87      0.88       280
 weighted-avg       0.90      0.90      0.90       280
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_headings_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_headings_clause_en_3_2.md
index e37693b31f2854..c878e6ccda25fe 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_headings_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_headings_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     headings       0.95      0.97      0.96       131
        other       0.98      0.98      0.98       252
-    accuracy        -         -        0.97       383
+    accuracy          -         -      0.97       383
    macro-avg       0.97      0.97      0.97       383
 weighted-avg       0.97      0.97      0.97       383
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_holidays_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_holidays_clause_en_3_2.md
index fa7b3d65deb458..ff532c18ddbdc5 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_holidays_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_holidays_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     holidays       0.98      0.94      0.96        49
        other       0.96      0.99      0.97        68
-    accuracy        -         -        0.97       117
+    accuracy          -         -      0.97       117
    macro-avg       0.97      0.96      0.96       117
 weighted-avg       0.97      0.97      0.97       117
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_illegality_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_illegality_clause_en_3_2.md
index ed4c7b8f46b26e..e6c711f750bfba 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_illegality_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_illegality_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   illegality       0.95      0.95      0.95        22
        other       0.98      0.98      0.98        56
-    accuracy        -         -        0.97        78
+    accuracy          -         -      0.97        78
    macro-avg       0.97      0.97      0.97        78
 weighted-avg       0.97      0.97      0.97        78
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_in_witness_whereof_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_in_witness_whereof_clause_en_3_2.md
index 59e6d735aa3d01..5b27a796069c11 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_in_witness_whereof_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_in_witness_whereof_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 in-witness-whereof       0.91      1.00      0.95        21
              other       1.00      0.97      0.99        69
-          accuracy        -         -        0.98        90
+          accuracy          -         -      0.98        90
          macro-avg       0.96      0.99      0.97        90
       weighted-avg       0.98      0.98      0.98        90
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_increased_costs_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_increased_costs_clause_en_3_2.md
index 0f26b4a3e940b1..9711743e62fab9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_increased_costs_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_increased_costs_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
 increased-costs       1.00      0.94      0.97        36
           other       0.98      1.00      0.99       100
-       accuracy        -         -        0.99       136
+       accuracy          -         -      0.99       136
       macro-avg       0.99      0.97      0.98       136
    weighted-avg       0.99      0.99      0.99       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indebtedness_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indebtedness_clause_en_3_2.md
index c13e1acdd5eb85..d5843234ca955f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indebtedness_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indebtedness_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 indebtedness       0.95      0.88      0.91        24
        other       0.96      0.98      0.97        66
-    accuracy        -         -        0.96        90
+    accuracy          -         -      0.96        90
    macro-avg       0.96      0.93      0.94        90
 weighted-avg       0.96      0.96      0.95        90
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_by_the_company_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_by_the_company_clause_en_3_2.md
index 8b3fe3cc03394d..0dfa37a598a54f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_by_the_company_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_by_the_company_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                          label  precision    recall  f1-score   support
 indemnification-by-the-company       0.85      0.85      0.85        20
                          other       0.95      0.95      0.95        61
-                      accuracy        -         -        0.93        81
+                      accuracy          -         -      0.93        81
                      macro-avg       0.90      0.90      0.90        81
                   weighted-avg       0.93      0.93      0.93        81
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_clause_en_3_2.md
index 393bfde0ab7ada..71f99f6df7dbf9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnification_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
 indemnification       0.94      0.81      0.87        37
           other       0.91      0.97      0.94        71
-       accuracy        -         -        0.92       108
+       accuracy          -         -      0.92       108
       macro-avg       0.92      0.89      0.90       108
    weighted-avg       0.92      0.92      0.92       108
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnity_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnity_clause_en_3_2.md
index 9aa0c27d6a8c78..8427fb21159675 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnity_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_indemnity_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        legal  precision    recall  f1-score   support
    indemnity       0.96      0.92      0.94        25
        other       0.97      0.98      0.98        64
-    accuracy        -         -        0.97        89
+    accuracy          -         -      0.97        89
    macro-avg       0.96      0.95      0.96        89
 weighted-avg       0.97      0.97      0.97        89
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_independent_contractor_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_independent_contractor_clause_en_3_2.md
index b4f5241997770a..a41702837f6e9c 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_independent_contractor_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_independent_contractor_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                  label  precision    recall  f1-score   support
 independent-contractor       1.00      1.00      1.00        34
                  other       1.00      1.00      1.00       101
-              accuracy        -         -        1.00       135
+              accuracy          -         -      1.00       135
              macro-avg       1.00      1.00      1.00       135
           weighted-avg       1.00      1.00      1.00       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_information_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_information_clause_en_3_2.md
index 4d7539e154c481..ca6dad4869a51b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_information_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_information_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
 financial-information       0.95      0.78      0.85        68
                 other       0.92      0.98      0.95       167
-             accuracy        -         -        0.92       235
+             accuracy          -         -      0.92       235
             macro-avg       0.93      0.88      0.90       235
          weighted-avg       0.92      0.92      0.92       235
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_injunctive_relief_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_injunctive_relief_clause_en_3_2.md
index bf45f92e61cc3c..5ba3e0709adf79 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_injunctive_relief_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_injunctive_relief_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 injunctive-relief       0.91      1.00      0.95        30
             other       1.00      0.97      0.99       103
-         accuracy        -         -        0.98       133
+         accuracy          -         -      0.98       133
         macro-avg       0.95      0.99      0.97       133
      weighted-avg       0.98      0.98      0.98       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_insolvency_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_insolvency_clause_en_3_2.md
index b53a76e3758f25..7935a98eb49abe 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_insolvency_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_insolvency_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   insolvency       0.98      0.98      0.98        43
        other       0.99      0.99      0.99       101
-    accuracy         -         -       0.99       144
+    accuracy          -         -      0.99       144
    macro-avg       0.98      0.98      0.98       144
 weighted-avg       0.99      0.99      0.99       144
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_inspection_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_inspection_clause_en_3_2.md
index 03d36e3e5171f4..e4f86bab9469a5 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_inspection_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_inspection_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   inspection       0.89      0.89      0.89        27
        other       0.95      0.95      0.95        64
-    accuracy        -         -        0.93        91
+    accuracy          -         -      0.93        91
    macro-avg       0.92      0.92      0.92        91
 weighted-avg       0.93      0.93      0.93        91
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_insurance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_insurance_clause_en_3_2.md
index f289fcace78397..6fb1352e7084b1 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_insurance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_insurance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    insurance       1.00      0.87      0.93        31
        other       0.96      1.00      0.98        85
-    accuracy        -         -        0.97       116
+    accuracy          -         -      0.97       116
    macro-avg       0.98      0.94      0.95       116
 weighted-avg       0.97      0.97      0.96       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_intellectual_property_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_intellectual_property_clause_en_3_2.md
index 1e883874c99a66..41f658fc482701 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_intellectual_property_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_intellectual_property_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
 intellectual-property       0.95      0.85      0.90        47
                 other       0.93      0.98      0.95        95
-             accuracy         -         -       0.94       142
+             accuracy          -         -      0.94       142
             macro-avg       0.94      0.92      0.93       142
          weighted-avg       0.94      0.94      0.94       142
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_interest_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_interest_clause_en_3_2.md
index ceda675f7f20de..0899b800ce3444 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_interest_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_interest_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 conflict-of-interest       0.90      0.81      0.85        32
                other       0.95      0.97      0.96       108
-            accuracy         -         -       0.94       140
+            accuracy          -         -      0.94       140
            macro-avg       0.92      0.89      0.91       140
         weighted-avg       0.93      0.94      0.93       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_interpretation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_interpretation_clause_en_3_2.md
index f7eba0ca4b74a0..f3bfab0f514939 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_interpretation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_interpretation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
 interpretation       0.91      0.78      0.84        27
          other       0.92      0.97      0.95        74
-      accuracy         -         -       0.92       101
+      accuracy          -         -      0.92       101
      macro-avg       0.92      0.88      0.89       101
   weighted-avg       0.92      0.92      0.92       101
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_introduction_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_introduction_clause_en_3_2.md
index 453a576dc39414..8c7828fcf8d9b8 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_introduction_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_introduction_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 introduction       0.82      0.84      0.83        32
        other       0.94      0.93      0.94        90
-    accuracy        -         -        0.91       122
+    accuracy          -         -      0.91       122
    macro-avg       0.88      0.89      0.88       122
 weighted-avg       0.91      0.91      0.91       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_investment_company_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_investment_company_clause_en_3_2.md
index 19f5c2043e6f45..1076f83098016e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_investment_company_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_investment_company_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 investment-company       0.99      0.96      0.97        77
              other       0.98      0.99      0.99       185
-          accuracy         -         -       0.98       262
+          accuracy          -         -      0.98       262
          macro-avg       0.99      0.98      0.98       262
       weighted-avg       0.98      0.98      0.98       262
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_investments_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_investments_clause_en_3_2.md
index 439d7b10bb28b2..356531074f20e3 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_investments_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_investments_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  investments       0.97      0.85      0.91        34
        other       0.94      0.99      0.96        80
-    accuracy         -         -       0.95       114
+    accuracy          -         -      0.95       114
    macro-avg       0.95      0.92      0.93       114
 weighted-avg       0.95      0.95      0.95       114
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_judgments_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_judgments_clause_en_3_2.md
index d682163e39fc1e..306e93c992ec00 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_judgments_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_judgments_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    judgments       1.00      0.91      0.96        35
        other       0.98      1.00      0.99       120
-    accuracy         -         -       0.98       155
+    accuracy          -         -      0.98       155
    macro-avg       0.99      0.96      0.97       155
 weighted-avg       0.98      0.98      0.98       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_jurisdiction_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_jurisdiction_clause_en_3_2.md
index eede1ea965543b..53055d47ee2003 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_jurisdiction_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_jurisdiction_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 jurisdiction       0.94      0.96      0.95        70
        other       0.99      0.98      0.98       208
-    accuracy         -         -       0.97       278
+    accuracy          -         -      0.97       278
    macro-avg       0.96      0.97      0.97       278
 weighted-avg       0.97      0.97      0.97       278
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_labor_matters_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_labor_matters_clause_en_3_2.md
index 8f404ef9fc6d89..a4e2361923678d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_labor_matters_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_labor_matters_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 labor-matters       0.94      0.97      0.95        30
         other       0.98      0.96      0.97        56
-     accuracy         -         -       0.97        86
+     accuracy          -         -      0.97        86
     macro-avg       0.96      0.97      0.96        86
  weighted-avg       0.97      0.97      0.97        86
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_laws_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_laws_clause_en_3_2.md
index 011d41c11b3741..da6c554e5769f0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_laws_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_laws_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 compliance-with-laws       0.92      0.94      0.93        64
                other       0.97      0.96      0.97       141
-            accuracy         -         -       0.96       205
+            accuracy          -         -      0.96       205
            macro-avg       0.95      0.95      0.95       205
         weighted-avg       0.96      0.96      0.96       205
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_legal_proceedings_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_legal_proceedings_clause_en_3_2.md
index b8c8f61a0cbe76..925fac7bdfb1e3 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_legal_proceedings_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_legal_proceedings_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label   precision    recall  f1-score   support
 legal-proceedings       0.96      0.79      0.87        29
             other       0.95      0.99      0.97       106
-         accuracy         -         -       0.95       135
+         accuracy          -         -      0.95       135
         macro-avg       0.95      0.89      0.92       135
      weighted-avg       0.95      0.95      0.95       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_legends_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_legends_clause_en_3_2.md
index 52fbdbabb93658..17b56a7356b1f9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_legends_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_legends_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
      legends       0.98      0.98      0.98        57
        other       0.99      0.99      0.99       128
-    accuracy         -         -       0.99       185
+    accuracy          -         -      0.99       185
    macro-avg       0.99      0.99      0.99       185
 weighted-avg       0.99      0.99      0.99       185
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_letters_of_credit_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_letters_of_credit_clause_en_3_2.md
index 95d6b112bd5542..eefeac744f1f69 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_letters_of_credit_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_letters_of_credit_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label   precision    recall  f1-score   support
 letters-of-credit       0.91      0.88      0.89        24
             other       0.96      0.98      0.97        84
-         accuracy         -         -       0.95       108
+         accuracy          -         -      0.95       108
         macro-avg       0.94      0.93      0.93       108
      weighted-avg       0.95      0.95      0.95       108
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_liabilities_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_liabilities_clause_en_3_2.md
index ec7ea5a1033e36..e1c3e08a00fd16 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_liabilities_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_liabilities_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  liabilities       0.96      0.84      0.90        32
        other       0.94      0.99      0.96        75
-    accuracy         -         -       0.94       107
+    accuracy          -         -      0.94       107
    macro-avg       0.95      0.92      0.93       107
 weighted-avg       0.94      0.94      0.94       107
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_liability_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_liability_clause_en_3_2.md
index 4020342102b64d..51ab8da2ef573f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_liability_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_liability_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    liability       0.85      0.74      0.79        31
        other       0.93      0.96      0.94       105
-    accuracy         -         -       0.91       136
+    accuracy          -         -      0.91       136
    macro-avg       0.89      0.85      0.87       136
 weighted-avg       0.91      0.91      0.91       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_licenses_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_licenses_clause_en_3_2.md
index 7bc8d4ad60c539..b4112de5431210 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_licenses_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_licenses_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     licenses       0.91      0.84      0.88        38
        other       0.92      0.96      0.94        71
-    accuracy         -         -       0.92       109
+    accuracy          -         -      0.92       109
    macro-avg       0.92      0.90      0.91       109
 weighted-avg       0.92      0.92      0.92       109
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_liens_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_liens_clause_en_3_2.md
index 799c7a6e2cf52e..ae9253d5aa707c 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_liens_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_liens_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        liens       0.95      0.84      0.89        44
        other       0.93      0.98      0.96        99
-    accuracy         -         -       0.94       143
+    accuracy          -         -      0.94       143
    macro-avg       0.94      0.91      0.92       143
 weighted-avg       0.94      0.94      0.94       143
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_limitations_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_limitations_clause_en_3_2.md
index d46cd71d677dcb..68742de60ceee6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_limitations_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_limitations_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  limitations       0.82      0.67      0.74        73
        other       0.81      0.90      0.86       115
-    accuracy        -         -        0.81       188
+    accuracy          -         -      0.81       188
    macro-avg       0.81      0.79      0.80       188
 weighted-avg       0.81      0.81      0.81       188
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_listing_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_listing_clause_en_3_2.md
index 49f0973b49e55a..3eb5e860508dc1 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_listing_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_listing_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
      listing       1.00      0.97      0.99        38
        other       0.99      1.00      0.99        92
-    accuracy        -         -        0.99       130
+    accuracy          -         -      0.99       130
    macro-avg       0.99      0.99      0.99       130
 weighted-avg       0.99      0.99      0.99       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_litigation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_litigation_clause_en_3_2.md
index 13e704e468a636..270cc29feae305 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_litigation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_litigation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   litigation       1.00      0.89      0.94        27
        other       0.97      1.00      0.99       103
-    accuracy        -         -        0.98       130
+    accuracy          -         -      0.98       130
    macro-avg       0.99      0.94      0.96       130
 weighted-avg       0.98      0.98      0.98       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_loans_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_loans_clause_en_3_2.md
index 4e76a030b8870e..5b5ff04d07601d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_loans_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_loans_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        loans       0.86      0.88      0.87        41
        other       0.92      0.91      0.92        66
-    accuracy        -         -        0.90       107
+    accuracy          -         -      0.90       107
    macro-avg       0.89      0.89      0.89       107
 weighted-avg       0.90      0.90      0.90       107
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_maintenance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_maintenance_clause_en_3_2.md
index eb05e00ff07382..fd18ab4d99d474 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_maintenance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_maintenance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  maintenance       0.93      0.91      0.92        95
        other       0.96      0.97      0.96       201
-    accuracy        -         -        0.95       296
+    accuracy          -         -      0.95       296
    macro-avg       0.95      0.94      0.94       296
 weighted-avg       0.95      0.95      0.95       296
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_management_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_management_clause_en_3_2.md
index 0213562c6b588a..dfa78c42fb1eaa 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_management_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_management_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   management       0.96      0.90      0.93        71
        other       0.95      0.98      0.96       136
-    accuracy         -         -       0.95       207
+    accuracy          -         -      0.95       207
    macro-avg       0.95      0.94      0.95       207
 weighted-avg       0.95      0.95      0.95       207
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_marketing_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_marketing_clause_en_3_2.md
index 44589ac228e919..7cad523f06c22f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_marketing_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_marketing_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    marketing       0.50      0.50      0.50         2
        other       0.93      0.93      0.93        15
-    accuracy         -         -       0.88        17
+    accuracy          -         -      0.88        17
    macro-avg       0.72      0.72      0.72        17
 weighted-avg       0.88      0.88      0.88        17
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_material_contracts_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_material_contracts_clause_en_3_2.md
index bed2b7544cd3ab..14e99c8ba2b38a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_material_contracts_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_material_contracts_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 material-contracts       0.85      0.79      0.82        29
              other       0.94      0.96      0.95        93
-          accuracy         -         -       0.92       122
+          accuracy          -         -      0.92       122
          macro-avg       0.89      0.88      0.88       122
       weighted-avg       0.92      0.92      0.92       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_meetings_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_meetings_clause_en_3_2.md
index cc3d9f49e95a1e..546ab2f277a0e7 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_meetings_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_meetings_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     meetings       0.96      0.93      0.94        27
        other       0.97      0.99      0.98        75
-    accuracy         -         -       0.97       102
+    accuracy          -         -      0.97       102
    macro-avg       0.97      0.96      0.96       102
 weighted-avg       0.97      0.97      0.97       102
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_merger_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_merger_clause_en_3_2.md
index 48bd4d2381435f..f3e8b57f494dda 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_merger_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_merger_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
       merger       0.83      0.90      0.86        39
        other       0.96      0.94      0.95       109
-    accuracy         -         -       0.93       148
+    accuracy          -         -      0.93       148
    macro-avg       0.90      0.92      0.91       148
 weighted-avg       0.93      0.93      0.93       148
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_miscellaneous_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_miscellaneous_clause_en_3_2.md
index 2120e1fc884134..0e673a87896ade 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_miscellaneous_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_miscellaneous_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 miscellaneous       0.93      0.61      0.74        23
         other       0.85      0.98      0.91        54
-     accuracy         -         -       0.87        77
+     accuracy          -         -      0.87        77
     macro-avg       0.89      0.80      0.83        77
  weighted-avg       0.88      0.87      0.86        77
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_modification_and_waiver_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_modification_and_waiver_clause_en_3_2.md
index 585a5c7dad554e..a91958f4c51da8 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_modification_and_waiver_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_modification_and_waiver_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                   label  precision    recall  f1-score   support
 modification-and-waiver       0.86      0.88      0.87        42
                   other       0.95      0.94      0.95       106
-               accuracy        -          -       0.93       148
+               accuracy          -         -      0.93       148
               macro-avg       0.91      0.91      0.91       148
            weighted-avg       0.93      0.93      0.93       148
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_name_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_name_clause_en_3_2.md
index 411569f0f8ef1a..fe496ae682051e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_name_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_name_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
         name       0.98      0.91      0.94        46
        other       0.97      0.99      0.98       148
-    accuracy         -         -       0.97       194
+    accuracy          -         -      0.97       194
    macro-avg       0.98      0.95      0.96       194
 weighted-avg       0.97      0.97      0.97       194
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_negative_covenants_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_negative_covenants_clause_en_3_2.md
index f2dce12ebb6024..979fb4e29a2df0 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_negative_covenants_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_negative_covenants_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 negative-covenants       1.00      0.92      0.96        51
              other       0.97      1.00      0.98       130
-          accuracy         -         -       0.98       181
+          accuracy          -         -      0.98       181
          macro-avg       0.99      0.96      0.97       181
       weighted-avg       0.98      0.98      0.98       181
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_assignment_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_assignment_clause_en_3_2.md
index 925341aa1b5c37..fb1f098b9b3a7a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_assignment_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_assignment_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 no-assignment       0.87      0.91      0.89        43
         other       0.95      0.93      0.94        89
-     accuracy         -         -       0.92       132
+     accuracy          -         -      0.92       132
     macro-avg       0.91      0.92      0.91       132
  weighted-avg       0.93      0.92      0.92       132
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_conflicts_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_conflicts_clause_en_3_2.md
index f877cc83269622..91549c5834ee80 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_conflicts_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_conflicts_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 no-conflicts       0.96      0.94      0.95        54
        other       0.98      0.99      0.98       153
-    accuracy         -         -       0.98       207
+    accuracy          -         -      0.98       207
    macro-avg       0.97      0.97      0.97       207
 weighted-avg       0.98      0.98      0.98       207
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_default_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_default_clause_en_3_2.md
index f7d13bc5d112c5..413e4b799eae37 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_default_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_default_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   no-default       0.98      0.85      0.91        53
        other       0.91      0.99      0.95        83
-    accuracy         -         -       0.93       136
+    accuracy          -         -      0.93       136
    macro-avg       0.94      0.92      0.93       136
 weighted-avg       0.94      0.93      0.93       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_material_adverse_change_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_material_adverse_change_clause_en_3_2.md
index 2749c0ca47e31b..e66fb3549a0067 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_material_adverse_change_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_material_adverse_change_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                      label  precision    recall  f1-score   support
 no-material-adverse-change       0.95      0.97      0.96        37
                      other       0.99      0.98      0.99       103
-                  accuracy         -         -       0.98       140
+                  accuracy          -         -      0.98       140
                  macro-avg       0.97      0.98      0.97       140
               weighted-avg       0.98      0.98      0.98       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_solicitation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_solicitation_clause_en_3_2.md
index 4179e122281828..e79b49db957677 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_solicitation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_solicitation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
 no-solicitation       0.93      0.96      0.94        26
           other       0.98      0.96      0.97        46
-       accuracy         -         -       0.96        72
+       accuracy          -         -      0.96        72
       macro-avg       0.95      0.96      0.96        72
    weighted-avg       0.96      0.96      0.96        72
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_strict_construction_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_strict_construction_clause_en_3_2.md
index 6c2f446af338a1..3028c1e1e9e3cd 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_strict_construction_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_strict_construction_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                  label  precision    recall  f1-score   support
 no-strict-construction       0.97      0.93      0.95        40
                  other       0.97      0.99      0.98       101
-              accuracy         -         -       0.97       141
+              accuracy          -         -      0.97       141
              macro-avg       0.97      0.96      0.96       141
           weighted-avg       0.97      0.97      0.97       141
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_third_party_beneficiaries_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_third_party_beneficiaries_clause_en_3_2.md
index 082fa568d9d1a2..ba917ea5d6723c 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_third_party_beneficiaries_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_third_party_beneficiaries_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                        label  precision    recall  f1-score   support
 no-third-party-beneficiaries       0.96      0.96      0.96        49
                        other       0.98      0.98      0.98       130
-                    accuracy         -         -       0.98       179
+                    accuracy          -         -      0.98       179
                    macro-avg       0.97      0.97      0.97       179
                 weighted-avg       0.98      0.98      0.98       179
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_violation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_violation_clause_en_3_2.md
index a7a678f58c3552..b089a3fc9f7f2f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_violation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_violation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 no-violation       1.00      1.00      1.00        35
        other       1.00      1.00      1.00        93
-    accuracy         -         -       1.00       128
+    accuracy          -         -      1.00       128
    macro-avg       1.00      1.00      1.00       128
 weighted-avg       1.00      1.00      1.00       128
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_waiver_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_waiver_clause_en_3_2.md
index bf5b4433787969..7b5fdc00ba58b3 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_waiver_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_no_waiver_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
    no-waiver       0.95      0.98      0.97        43
        other       0.99      0.98      0.99       119
-    accuracy         -         -       0.98       162
+    accuracy          -         -      0.98       162
    macro-avg       0.97      0.98      0.98       162
 weighted-avg       0.98      0.98      0.98       162
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_competition_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_competition_clause_en_3_2.md
index b827b6a8369a8b..3b7b8acf07421b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_competition_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_competition_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
 non-competition       1.00      0.89      0.94        18
           other       0.97      1.00      0.99        74
-       accuracy         -         -       0.98        92
+       accuracy          -         -      0.98        92
       macro-avg       0.99      0.94      0.96        92
    weighted-avg       0.98      0.98      0.98        92
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_discrimination_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_discrimination_clause_en_3_2.md
index a6a4aef3d6d5e9..897e93de3521d8 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_discrimination_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_discrimination_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
 non-discrimination       1.00      0.85      0.92        41
              other       0.94      1.00      0.97       103
-          accuracy         -         -       0.96       144
+          accuracy          -         -      0.96       144
          macro-avg       0.97      0.93      0.95       144
       weighted-avg       0.96      0.96      0.96       144
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_disparagement_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_disparagement_clause_en_3_2.md
index fc1dc203236c6b..499662232ed56b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_disparagement_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_disparagement_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 non-disparagement       0.97      1.00      0.98        31
             other       1.00      0.99      0.99        99
-         accuracy         -         -       0.99       130
+         accuracy          -         -      0.99       130
         macro-avg       0.98      0.99      0.99       130
      weighted-avg       0.99      0.99      0.99       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_solicitation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_solicitation_clause_en_3_2.md
index 7876344be2f72f..e81289ec2521fa 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_solicitation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_non_solicitation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
            label  precision    recall  f1-score   support
 non-solicitation       1.00      0.95      0.98        22
            other       0.99      1.00      0.99        84
-        accuracy         -         -       0.99       106
+        accuracy          -         -      0.99       106
        macro-avg       0.99      0.98      0.99       106
     weighted-avg       0.99      0.99      0.99       106
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_notices_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_notices_clause_en_3_2.md
index 3c3d6c9de42839..63973e35aed15f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_notices_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_notices_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
      notices       0.96      0.97      0.97       191
        other       0.99      0.99      0.99       529
-    accuracy         -         -       0.98       720
+    accuracy          -         -      0.98       720
    macro-avg       0.98      0.98      0.98       720
 weighted-avg       0.98      0.98      0.98       720
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_notification_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_notification_clause_en_3_2.md
index c41e1e4355ce5e..89dbe7198e36c4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_notification_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_notification_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 notification       0.87      0.91      0.89        90
        other       0.96      0.94      0.95       214
-    accuracy         -         -       0.93       304
+    accuracy          -         -      0.93       304
    macro-avg       0.92      0.93      0.92       304
 weighted-avg       0.94      0.93      0.93       304
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_now_therefore_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_now_therefore_clause_en_3_2.md
index 1081f2632e22b6..aabff6bada12bb 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_now_therefore_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_now_therefore_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
 now-therefore       0.98      0.98      0.98        58
         other       0.99      0.99      0.99       146
-     accuracy         -         -       0.99       204
+     accuracy          -         -      0.99       204
     macro-avg       0.99      0.99      0.99       204
  weighted-avg       0.99      0.99      0.99       204
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_obligations_absolute_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_obligations_absolute_clause_en_3_2.md
index 5f612f1acd827b..123afba04f2f90 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_obligations_absolute_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_obligations_absolute_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 obligations-absolute       0.96      0.75      0.84        36
                other       0.90      0.99      0.94        83
-            accuracy         -         -       0.92       119
+            accuracy          -         -      0.92       119
            macro-avg       0.93      0.87      0.89       119
         weighted-avg       0.92      0.92      0.91       119
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_certificate_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_certificate_clause_en_3_2.md
index 26e065c8dad7a5..12a54032f8a3fa 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_certificate_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_certificate_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
 officers-certificate       0.98      1.00      0.99        40
                other       1.00      0.99      1.00       103
-            accuracy         -         -       0.99       143
+            accuracy          -         -      0.99       143
            macro-avg       0.99      1.00      0.99       143
         weighted-avg       0.99      0.99      0.99       143
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_clause_en_3_2.md
index 6d1956792eb74e..788dd3633e888d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_officers_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
     officers       0.97      0.94      0.96        35
        other       0.97      0.99      0.98        74
-    accuracy         -         -       0.97       109
+    accuracy          -         -      0.97       109
    macro-avg       0.97      0.96      0.97       109
 weighted-avg       0.97      0.97      0.97       109
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_optional_renewal_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_optional_renewal_clause_en_3_2.md
index e073b5448399c6..c8fe9a502d12ba 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_optional_renewal_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_optional_renewal_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
            label  precision    recall  f1-score   support
 optional_renewal       1.00      0.91      0.95        32
            other       0.97      1.00      0.99       101
-        accuracy         -         -       0.98       133
+        accuracy          -         -      0.98       133
        macro-avg       0.99      0.95      0.97       133
     weighted-avg       0.98      0.98      0.98       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_organization_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_organization_clause_en_3_2.md
index 92004ccd4b17a4..d218ca0c8a5afc 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_organization_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_organization_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
 organization       0.99      0.91      0.95       100
        other       0.96      1.00      0.98       207
-    accuracy         -         -       0.97       307
+    accuracy          -         -      0.97       307
    macro-avg       0.97      0.95      0.96       307
 weighted-avg       0.97      0.97      0.97       307
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_benefits_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_benefits_clause_en_3_2.md
index a67f96a42e20ed..7f0037b6dd21e9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_benefits_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_benefits_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
          other       0.95      0.97      0.96       109
 other-benefits       0.91      0.86      0.88        35
-      accuracy         -         -       0.94       144
+      accuracy          -         -      0.94       144
      macro-avg       0.93      0.91      0.92       144
   weighted-avg       0.94      0.94      0.94       144
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_remedies_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_remedies_clause_en_3_2.md
index b7287ec93e55bd..e7074b6db97214 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_remedies_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_other_remedies_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
          other       0.93      0.95      0.94        98
 other-remedies       0.86      0.82      0.84        38
-      accuracy         -         -       0.91       136
+      accuracy          -         -      0.91       136
      macro-avg       0.90      0.88      0.89       136
   weighted-avg       0.91      0.91      0.91       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_ownership_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_ownership_clause_en_3_2.md
index 7c39d129ccd1e7..03a95faf1d2195 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_ownership_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_ownership_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.95      0.95        59
    ownership       0.91      0.91      0.91        32
-    accuracy         -         -       0.93        91
+    accuracy          -         -      0.93        91
    macro-avg       0.93      0.93      0.93        91
 weighted-avg       0.93      0.93      0.93        91
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_parking_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_parking_clause_en_3_2.md
index e4b42b8a09ac1a..4cc82e189629da 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_parking_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_parking_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.99      0.96        69
      parking       0.96      0.85      0.90        27
-    accuracy         -         -       0.95        96
+    accuracy          -         -      0.95        96
    macro-avg       0.95      0.92      0.93        96
 weighted-avg       0.95      0.95      0.95        96
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_partial_invalidity_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_partial_invalidity_clause_en_3_2.md
index cb2fc5b6576bc2..2f6a56c0fda3c3 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_partial_invalidity_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_partial_invalidity_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
              other       0.99      1.00      1.00       126
 partial-invalidity       1.00      0.98      0.99        44
-          accuracy         -         -       0.99       170
+          accuracy          -         -      0.99       170
          macro-avg       1.00      0.99      0.99       170
       weighted-avg       0.99      0.99      0.99       170
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_participations_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_participations_clause_en_3_2.md
index cbce1a45279234..125cdb2f4b4834 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_participations_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_participations_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
          other       0.92      0.98      0.95        57
 participations       0.93      0.74      0.82        19
-      accuracy         -         -       0.92        76
+      accuracy          -         -      0.92        76
      macro-avg       0.93      0.86      0.89        76
   weighted-avg       0.92      0.92      0.92        76
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_clause_en_3_2.md
index 7ce777b014fcbf..d166b2a183f045 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.97      0.96        91
      parties       0.90      0.84      0.87        32
-    accuracy         -         -       0.93       123
+    accuracy          -         -      0.93       123
    macro-avg       0.92      0.91      0.91       123
 weighted-avg       0.93      0.93      0.93       123
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_in_interest_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_in_interest_clause_en_3_2.md
index 6f3c86d3325355..0795da53d41a8f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_in_interest_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_parties_in_interest_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
               other       0.99      0.99      0.99       106
 parties-in-interest       0.98      0.98      0.98        49
-           accuracy         -         -       0.99       155
+           accuracy          -         -      0.99       155
           macro-avg       0.99      0.99      0.99       155
        weighted-avg       0.99      0.99      0.99       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_payments_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_payments_clause_en_3_2.md
index 3a2c9651a695ef..e7e7e1c1fc7754 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_payments_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_payments_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.97      0.95       284
     payments       0.91      0.84      0.87       105
-    accuracy        -         -        0.93       389
+    accuracy          -         -      0.93       389
    macro avg       0.92      0.90      0.91       389
 weighted avg       0.93      0.93      0.93       389
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_performance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_performance_clause_en_3_2.md
index 83180df292cb1a..5716e21c052cf4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_performance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_performance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.90      1.00      0.95        89
  performance       1.00      0.74      0.85        39
-    accuracy        -         -        0.92       128
+    accuracy          -         -      0.92       128
    macro-avg       0.95      0.87      0.90       128
 weighted-avg       0.93      0.92      0.92       128
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_permits_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_permits_clause_en_3_2.md
index 069336ce411057..fc2fee3e359e63 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_permits_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_permits_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      0.96      0.98        94
      permits       0.90      1.00      0.95        36
-    accuracy        -         -        0.97       130
+    accuracy          -         -      0.97       130
    macro-avg       0.95      0.98      0.96       130
 weighted-avg       0.97      0.97      0.97       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_persons_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_persons_clause_en_3_2.md
index 1562f2f592f934..189d9cc39af5ed 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_persons_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_persons_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      0.96      0.98       159
      persons       0.92      1.00      0.96        73
-    accuracy        -         -        0.97       232
+    accuracy          -         -      0.97       232
    macro-avg       0.96      0.98      0.97       232
 weighted-avg       0.98      0.97      0.97       232
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_position_and_duties_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_position_and_duties_clause_en_3_2.md
index 5f51c612068c0c..bc35d243ce6659 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_position_and_duties_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_position_and_duties_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
               other       1.00      0.99      0.99        92
 position-and-duties       0.97      1.00      0.99        38
-           accuracy        -         -        0.99       130
+           accuracy          -         -      0.99       130
           macro-avg       0.99      0.99      0.99       130
        weighted-avg       0.99      0.99      0.99       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_powers_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_powers_clause_en_3_2.md
index 48ba5c66804e86..d9b8b3e817d6a6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_powers_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_powers_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.99      0.98       307
       powers       0.97      0.93      0.95       124
-    accuracy        -         -        0.97       431
+    accuracy          -         -      0.97       431
    macro-avg       0.97      0.96      0.96       431
 weighted-avg       0.97      0.97      0.97       431
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_preamble_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_preamble_clause_en_3_2.md
index 6078b7ead3371c..b5073eb5eada01 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_preamble_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_preamble_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.94      0.94        66
     preamble       0.84      0.84      0.84        25
-    accuracy        -         -        0.91        91
+    accuracy          -         -      0.91        91
    macro avg       0.89      0.89      0.89        91
 weighted avg       0.91      0.91      0.91        91
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_procedures_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_procedures_clause_en_3_2.md
index 5b269b30aa807e..b2dd4f802a6c91 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_procedures_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_procedures_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.96      0.96      0.96       243
   procedures       0.92      0.92      0.92       116
-    accuracy        -         -        0.95       359
+    accuracy          -         -      0.95       359
    macro-avg       0.94      0.94      0.94       359
 weighted-avg       0.95      0.95      0.95       359
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_proprietary_rights_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_proprietary_rights_clause_en_3_2.md
index c082ab5af9ee69..03c3a92c023edc 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_proprietary_rights_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_proprietary_rights_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
              other       0.88      1.00      0.94        51
 proprietary_rights       1.00      0.78      0.88        32
-          accuracy        -         -        0.92        83
+          accuracy          -         -      0.92        83
          macro-avg       0.94      0.89      0.91        83
       weighted-avg       0.93      0.92      0.91        83
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_provisions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_provisions_clause_en_3_2.md
index cf62591d814612..db08603820b148 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_provisions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_provisions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.88      0.86      0.87       183
   provisions       0.71      0.73      0.72        82
-    accuracy        -         -        0.82       265
+    accuracy          -         -      0.82       265
    macro-avg       0.79      0.80      0.79       265
 weighted-avg       0.82      0.82      0.82       265
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_public_announcements_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_public_announcements_clause_en_3_2.md
index 76be073b113938..fff0ee8e3d16eb 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_public_announcements_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_public_announcements_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
                other       1.00      0.99      0.99        86
 public-announcements       0.97      1.00      0.99        36
-            accuracy        -         -        0.99       122
+            accuracy          -         -      0.99       122
            macro-avg       0.99      0.99      0.99       122
         weighted-avg       0.99      0.99      0.99       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_publicity_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_publicity_clause_en_3_2.md
index 8a5a87b2b36e0b..9b7f4adcd7cd29 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_publicity_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_publicity_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.98      0.96        96
    publicity       0.94      0.84      0.89        37
-    accuracy        -         -        0.94       133
+    accuracy          -         -      0.94       133
    macro-avg       0.94      0.91      0.92       133
 weighted-avg       0.94      0.94      0.94       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_and_sale_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_and_sale_clause_en_3_2.md
index cde84b59ee5e91..5421f8d0143bbd 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_and_sale_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_and_sale_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
             other       0.93      1.00      0.96        65
 purchase-and-sale       1.00      0.88      0.94        43
-         accuracy        -         -        0.95       108
+         accuracy          -         -      0.95       108
         macro-avg       0.96      0.94      0.95       108
      weighted-avg       0.96      0.95      0.95       108
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_price_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_price_clause_en_3_2.md
index 887cb9c2c9cc9a..86447d24a1ee14 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_price_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_purchase_price_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
          other       0.99      0.99      0.99        81
 purchase-price       0.98      0.98      0.98        47
-      accuracy        -         -        0.98       128
+      accuracy          -         -      0.98       128
      macro-avg       0.98      0.98      0.98       128
   weighted-avg       0.98      0.98      0.98       128
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_purpose_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_purpose_clause_en_3_2.md
index 4590bbcbd36dae..e68bd7314fcdb3 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_purpose_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_purpose_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.98      0.96        93
      purpose       0.94      0.84      0.89        37
-    accuracy         -         -       0.94       130
+    accuracy          -         -      0.94       130
    macro-avg       0.94      0.91      0.92       130
 weighted-avg       0.94      0.94      0.94       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_real_property_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_real_property_clause_en_3_2.md
index fca08131bae687..c474aaad3c1de2 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_real_property_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_real_property_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
         other       0.95      0.97      0.96        60
 real-property       0.92      0.88      0.90        25
-     accuracy         -         -       0.94        85
+     accuracy          -         -      0.94        85
     macro-avg       0.93      0.92      0.93        85
  weighted-avg       0.94      0.94      0.94        85
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_recitals_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_recitals_clause_en_3_2.md
index 6f872dfd4c1ff5..a9e322b0bdf563 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_recitals_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_recitals_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.96      0.95       151
     recitals       0.91      0.86      0.89        72
-    accuracy         -         -       0.93       223
+    accuracy          -         -      0.93       223
    macro-avg       0.92      0.91      0.92       223
 weighted-avg       0.93      0.93      0.93       223
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_recognition_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_recognition_clause_en_3_2.md
index 10d4df5df4033d..583de1e84c8201 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_recognition_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_recognition_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.92      0.99      0.95        70
  recognition       0.98      0.87      0.92        46
-    accuracy         -         -       0.94       116
+    accuracy          -         -      0.94       116
    macro-avg       0.95      0.93      0.94       116
 weighted-avg       0.94      0.94      0.94       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_records_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_records_clause_en_3_2.md
index e32e4ff24e16b9..d494b595046f39 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_records_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_records_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
             label  precision    recall  f1-score   support
 books-and-records       0.91      0.94      0.92        31
             other       0.98      0.97      0.98       104
-         accuracy         -         -       0.96       135
+         accuracy          -         -      0.96       135
         macro-avg       0.94      0.95      0.95       135
      weighted-avg       0.96      0.96      0.96       135
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_redemption_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_redemption_clause_en_3_2.md
index 22c3616359d95d..ebe619aeddcb97 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_redemption_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_redemption_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.96      0.95      0.95       100
   redemption       0.85      0.88      0.87        33
-    accuracy        -         -        0.93       133
+    accuracy          -         -      0.93       133
    macro-avg       0.91      0.91      0.91       133
 weighted-avg       0.93      0.93      0.93       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_clause_en_3_2.md
index b152cbeb32a8ce..50d3636c257665 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
               other       0.90      0.97      0.93        65
 registration-rights       0.94      0.83      0.88        41
-           accuracy        -         -        0.92       106
+           accuracy          -         -      0.92       106
           macro-avg       0.92      0.90      0.91       106
        weighted-avg       0.92      0.92      0.91       106
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_expenses_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_expenses_clause_en_3_2.md
index 1367416a1dabba..1937fdf0192b3e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_expenses_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_expenses_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
                 other       1.00      0.99      0.99        86
 registration-expenses       0.97      1.00      0.98        30
-             accuracy        -         -        0.99       116
+             accuracy          -         -      0.99       116
             macro-avg       0.98      0.99      0.99       116
          weighted-avg       0.99      0.99      0.99       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_rights_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_rights_clause_en_3_2.md
index 771c5eb8ae3665..11d23e39474bb9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_rights_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_registration_rights_clause_en_3_2.md
@@ -105,7 +105,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
               other       0.90      0.97      0.93        65
 registration-rights       0.94      0.83      0.88        41
-           accuracy        -         -        0.92       106
+           accuracy          -         -      0.92       106
           macro-avg       0.92      0.90      0.91       106
        weighted-avg       0.92      0.92      0.91       106
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reimbursements_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reimbursements_clause_en_3_2.md
index ce248fcb1faf8e..057564988f1170 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reimbursements_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reimbursements_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
          other       0.96      0.97      0.96       132
 reimbursements       0.93      0.90      0.91        58
-      accuracy         -         -       0.95       190
+      accuracy          -         -      0.95       190
      macro-avg       0.94      0.93      0.94       190
   weighted-avg       0.95      0.95      0.95       190
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reinstatement_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reinstatement_clause_en_3_2.md
index 4f576ff8d38361..f406601575934f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reinstatement_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reinstatement_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
         other       0.95      0.97      0.96       101
 reinstatement       0.89      0.83      0.86        29
-     accuracy         -         -       0.94       130
+     accuracy          -         -      0.94       130
     macro-avg       0.92      0.90      0.91       130
  weighted-avg       0.94      0.94      0.94       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_relationship_of_the_parties_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_relationship_of_the_parties_clause_en_3_2.md
index 2a4e46289eb878..fca9b548a558d9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_relationship_of_the_parties_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_relationship_of_the_parties_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                       label  precision    recall  f1-score   support
                       other       0.99      1.00      0.99       241
 relationship of the parties       0.99      0.96      0.97        78
-                   accuracy         -         -       0.99       319
+                   accuracy          -         -      0.99       319
                   macro-avg       0.99      0.98      0.98       319
                weighted-avg       0.99      0.99      0.99       319
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_release_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_release_clause_en_3_2.md
index 04dabffd165103..44a1eab90378ea 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_release_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_release_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.88      1.00      0.93        70
      release       1.00      0.50      0.67        20
-    accuracy         -         -       0.89        90
+    accuracy          -         -      0.89        90
    macro-avg       0.94      0.75      0.80        90
 weighted-avg       0.90      0.89      0.87        90
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reliance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reliance_clause_en_3_2.md
index ec5c26785bbf34..d9c2b23778ab1d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reliance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reliance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.97      0.97       104
     reliance       0.88      0.88      0.88        24
-    accuracy         -         -       0.95       128
+    accuracy          -         -      0.95       128
    macro-avg       0.92      0.92      0.92       128
 weighted-avg       0.95      0.95      0.95       128
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_clause_en_3_2.md
index b32922e362567c..49cbff0c852e06 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.96      0.96        56
     remedies       0.92      0.88      0.90        26
-    accuracy         -         -       0.94        82
+    accuracy          -         -      0.94        82
    macro-avg       0.93      0.92      0.93        82
 weighted-avg       0.94      0.94      0.94        82
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_cumulative_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_cumulative_clause_en_3_2.md
index 148f08cfd0213f..1f69c4d2bf14b9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_cumulative_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_remedies_cumulative_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               label  precision    recall  f1-score   support
               other       1.00      0.96      0.98       114
 remedies-cumulative       0.91      1.00      0.95        42
-           accuracy         -         -       0.97       156
+           accuracy          -         -      0.97       156
           macro-avg       0.96      0.98      0.97       156
        weighted-avg       0.98      0.97      0.97       156
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_rent_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_rent_clause_en_3_2.md
index 4e9d39245f9390..efb0598f377137 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_rent_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_rent_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.96      0.96        95
         rent       0.88      0.91      0.90        33
-    accuracy        -         -        0.95       128
+    accuracy          -         -      0.95       128
    macro-avg       0.93      0.93      0.93       128
 weighted-avg       0.95      0.95      0.95       128
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reporting_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reporting_clause_en_3_2.md
index 2ac2a8a982d718..32ba61c15f534f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reporting_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reporting_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.93      0.93      0.93       154
    reporting       0.86      0.87      0.87        78
-    accuracy         -         -       0.91       232
+    accuracy          -         -      0.91       232
    macro-avg       0.90      0.90      0.90       232
 weighted-avg       0.91      0.91      0.91       232
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reports_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reports_clause_en_3_2.md
index 40bd39f0e4bada..1689b01c07fb1b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_reports_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_reports_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.95      0.94        62
      reports       0.91      0.88      0.90        34
-    accuracy        -         -        0.93        96
+    accuracy          -         -      0.93        96
    macro-avg       0.92      0.92      0.92        96
 weighted-avg       0.93      0.93      0.93        96
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_representations_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_representations_clause_en_3_2.md
index 24daa089e08366..c6c167f2c42320 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_representations_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_representations_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
           other       0.98      0.98      0.98       645
 representations       0.95      0.94      0.95       212
-       accuracy        -         -        0.97       857
+       accuracy          -         -      0.97       857
       macro-avg       0.97      0.96      0.96       857
    weighted-avg       0.97      0.97      0.97       857
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_resignation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_resignation_clause_en_3_2.md
index 5a557b83527942..2b29c8a6d010f1 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_resignation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_resignation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.98      1.00      0.99       115
  resignation       1.00      0.94      0.97        33
-    accuracy         -         -       0.99       148
+    accuracy          -         -      0.99       148
    macro-avg       0.99      0.97      0.98       148
 weighted-avg       0.99      0.99      0.99       148
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_clause_en_3_2.md
index 9c9fbf6a87a2b6..b19f582ba598ec 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.81      0.97      0.88        61
 restrictions       0.91      0.60      0.72        35
-    accuracy         -         -       0.83        96
+    accuracy          -         -      0.83        96
    macro-avg       0.86      0.78      0.80        96
 weighted-avg       0.85      0.83      0.82        96
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_on_transfer_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_on_transfer_clause_en_3_2.md
index 01e6b438e02036..a431128a0a74c6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_on_transfer_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_restrictions_on_transfer_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                    label  precision    recall  f1-score   support
                    other       0.93      0.96      0.94        92
 restrictions-on-transfer       0.85      0.77      0.81        30
-                accuracy         -         -       0.91       122
+                accuracy          -         -      0.91       122
                macro-avg       0.89      0.86      0.87       122
             weighted-avg       0.91      0.91      0.91       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_right_of_setoff_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_right_of_setoff_clause_en_3_2.md
index 214919fe06f030..09efba839bdcc8 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_right_of_setoff_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_right_of_setoff_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
           other       0.95      0.99      0.97        94
 right-of-setoff       0.94      0.77      0.85        22
-       accuracy         -         -       0.95       116
+       accuracy          -         -      0.95       116
       macro-avg       0.95      0.88      0.91       116
    weighted-avg       0.95      0.95      0.95       116
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_rules_of_construction_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_rules_of_construction_clause_en_3_2.md
index 476a3ad29564fa..b6f4dc002d7869 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_rules_of_construction_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_rules_of_construction_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
                 other       0.96      0.99      0.97        98
 rules-of-construction       0.98      0.91      0.94        46
-             accuracy         -         -       0.97       144
+             accuracy          -         -      0.97       144
             macro-avg       0.97      0.95      0.96       144
          weighted-avg       0.97      0.97      0.96       144
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_salary_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_salary_clause_en_3_2.md
index aeb07bd0f3ca13..0d3fe3874e9636 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_salary_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_salary_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      1.00      1.00        79
       salary       1.00      1.00      1.00        33
-    accuracy         -         -       1.00       112
+    accuracy          -         -      1.00       112
    macro-avg       1.00      1.00      1.00       112
 weighted-avg       1.00      1.00      1.00       112
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_scope_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_scope_clause_en_3_2.md
index 6c2b587d860849..8224616a7a0daa 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_scope_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_scope_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.90      0.92        88
        scope       0.73      0.83      0.77        29
-    accuracy         -         -       0.88       117
+    accuracy          -         -      0.88       117
    macro-avg       0.83      0.86      0.85       117
 weighted-avg       0.89      0.88      0.88       117
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_section_headings_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_section_headings_clause_en_3_2.md
index d8e31b6811d93f..566162a0dd220e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_section_headings_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_section_headings_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
            label  precision    recall  f1-score   support
            other       1.00      1.00      1.00       159
 section-headings       1.00      1.00      1.00        46
-        accuracy         -         -       1.00       205
+        accuracy          -         -      1.00       205
        macro-avg       1.00      1.00      1.00       205
     weighted-avg       1.00      1.00      1.00       205
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_clause_en_3_2.md
index 9c215f2a94b0c9..a62a690e69ae1d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.97      0.95       119
     security       0.94      0.86      0.90        57
-    accuracy         -         -       0.94       176
+    accuracy          -         -      0.94       176
    macro-avg       0.94      0.92      0.93       176
 weighted-avg       0.94      0.94      0.94       176
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_interest_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_interest_clause_en_3_2.md
index 91837911125e17..4cb1a6a6c04fc6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_interest_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_security_interest_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                      label  precision    recall  f1-score   support
 grant-of-security-interest       1.00      0.91      0.95        34
                      other       0.97      1.00      0.98        85
-                  accuracy         -         -       0.97       119
+                  accuracy          -         -      0.97       119
                  macro-avg       0.98      0.96      0.97       119
               weighted-avg       0.98      0.97      0.97       119
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_seniority_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_seniority_clause_en_3_2.md
index 08a417a01354fa..9ed190684dc4c6 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_seniority_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_seniority_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.99      0.96      0.97        91
    seniority       0.90      0.97      0.94        37
-    accuracy         -         -       0.96       128
+    accuracy          -         -      0.96       128
    macro-avg       0.94      0.96      0.95       128
 weighted-avg       0.96      0.96      0.96       128
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_services_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_services_clause_en_3_2.md
index b18e95bac089da..5458c45ffc6c6f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_services_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_services_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.95      0.96        78
     services       0.89      0.94      0.91        34
-    accuracy         -         -       0.95       112
+    accuracy          -         -      0.95       112
    macro-avg       0.93      0.94      0.94       112
 weighted-avg       0.95      0.95      0.95       112
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_set_off_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_set_off_clause_en_3_2.md
index 5e9795f661a7ad..4932a31d552f98 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_set_off_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_set_off_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.98      0.96        94
      set-off       0.94      0.86      0.90        36
-    accuracy         -         -       0.95       130
+    accuracy          -         -      0.95       130
    macro-avg       0.94      0.92      0.93       130
 weighted-avg       0.95      0.95      0.95       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_severability_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_severability_clause_en_3_2.md
index e699e52994b18e..cae907503bb49b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_severability_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_severability_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.98      0.98       131
 severability       0.97      0.95      0.96        81
-    accuracy         -         -       0.97       212
+    accuracy          -         -      0.97       212
    macro-avg       0.97      0.97      0.97       212
 weighted-avg       0.97      0.97      0.97       212
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_severance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_severance_clause_en_3_2.md
index 35565b64f3235e..4bed0fdfd9c890 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_severance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_severance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.94      0.94        68
    severance       0.86      0.86      0.86        28
-    accuracy         -         -       0.92        96
+    accuracy          -         -      0.92        96
    macro-avg       0.90      0.90      0.90        96
 weighted-avg       0.92      0.92      0.92        96
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_sick_leave_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_sick_leave_clause_en_3_2.md
index 07049e0dea7b64..aa86703821e586 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_sick_leave_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_sick_leave_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.96      0.99      0.98        80
   sick-leave       0.97      0.93      0.95        42
-    accuracy         -         -       0.97       122
+    accuracy          -         -      0.97       122
    macro-avg       0.97      0.96      0.96       122
 weighted-avg       0.97      0.97      0.97       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_solvency_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_solvency_clause_en_3_2.md
index 383c6cae1c7fd5..94ef316575fc25 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_solvency_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_solvency_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
   insolvency       0.98      0.98      0.98        43
        other       0.99      0.99      0.99       101
-    accuracy         -         -       0.99       144
+    accuracy          -         -      0.99       144
    macro-avg       0.98      0.98      0.98       144
 weighted-avg       0.99      0.99      0.99       144
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_special_terms_and_conditions_of_trust_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_special_terms_and_conditions_of_trust_clause_en_3_2.md
index 6ca7e80fab915f..18c29fd2142c94 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_special_terms_and_conditions_of_trust_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_special_terms_and_conditions_of_trust_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                                 label  precision    recall  f1-score   support
                                 other       1.00      1.00      1.00       132
 special-terms-and-conditions-of-trust       1.00      1.00      1.00        56
-                             accuracy         -         -       1.00       188
+                             accuracy          -         -      1.00       188
                             macro-avg       1.00      1.00      1.00       188
                          weighted-avg       1.00      1.00      1.00       188
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_specific_performance_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_specific_performance_clause_en_3_2.md
index 5c24541e5253f4..938a6bd0885bca 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_specific_performance_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_specific_performance_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
                other       1.00      0.98      0.99        94
 specific-performance       0.95      1.00      0.97        36
-            accuracy         -         -       0.98       130
+            accuracy          -         -      0.98       130
            macro-avg       0.97      0.99      0.98       130
         weighted-avg       0.99      0.98      0.98       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_of_care_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_of_care_clause_en_3_2.md
index 97623caab66c76..81af1f637c09c4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_of_care_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_of_care_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
            label  precision    recall  f1-score   support
            other       0.95      0.98      0.96        97
 standard-of-care       0.94      0.86      0.90        36
-        accuracy         -         -       0.95       133
+        accuracy          -         -      0.95       133
        macro-avg       0.94      0.92      0.93       133
     weighted-avg       0.95      0.95      0.95       133
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_terms_and_conditions_of_trust_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_terms_and_conditions_of_trust_clause_en_3_2.md
index 897e55667c0ab1..7fd5c1f67fa0fd 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_terms_and_conditions_of_trust_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_standard_terms_and_conditions_of_trust_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                                  label  precision    recall  f1-score   support
                                  other       0.75      1.00      0.86         6
 standard-terms-and-conditions-of-trust       0.00      0.00      0.00         2
-                              accuracy         -         -       0.75         8
+                              accuracy          -         -      0.75         8
                              macro-avg       0.38      0.50      0.43         8
                           weighted-avg       0.56      0.75      0.64         8
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_stock_options_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_stock_options_clause_en_3_2.md
index 958def4b938422..6b6b6a7c2d838f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_stock_options_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_stock_options_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
         other       0.98      0.97      0.97        87
 stock-options       0.86      0.90      0.88        21
-     accuracy         -         -       0.95       108
+     accuracy          -         -      0.95       108
     macro-avg       0.92      0.94      0.93       108
  weighted-avg       0.95      0.95      0.95       108
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_subordination_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_subordination_clause_en_3_2.md
index 9379b05b1c502a..1def6e3c91f77a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_subordination_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_subordination_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
         label  precision    recall  f1-score   support
         other       0.94      0.98      0.96        49
 subordination       0.96      0.89      0.93        28
-     accuracy         -         -       0.95        77
+     accuracy          -         -      0.95        77
     macro-avg       0.95      0.94      0.94        77
  weighted-avg       0.95      0.95      0.95        77
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_subrogation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_subrogation_clause_en_3_2.md
index 15cea347af11e9..274da3ded3f11b 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_subrogation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_subrogation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.92      0.97      0.95        89
  subrogation       0.90      0.79      0.84        33
-    accuracy         -         -       0.92       122
+    accuracy          -         -      0.92       122
    macro-avg       0.91      0.88      0.89       122
 weighted-avg       0.92      0.92      0.92       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_subsidiaries_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_subsidiaries_clause_en_3_2.md
index 63b2103e87b924..b1431b638b1f94 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_subsidiaries_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_subsidiaries_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.98      0.95      0.97        63
 subsidiaries       0.88      0.96      0.92        23
-    accuracy         -         -       0.95        86
+    accuracy          -         -      0.95        86
    macro-avg       0.93      0.95      0.94        86
 weighted-avg       0.96      0.95      0.95        86
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_successors_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_successors_clause_en_3_2.md
index e83536c3965628..0299ceab6c6b8e 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_successors_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_successors_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      0.98      0.99       159
   successors       0.96      1.00      0.98        72
-    accuracy        -         -        0.99       231
+    accuracy          -         -      0.99       231
    macro-avg       0.98      0.99      0.99       231
 weighted-avg       0.99      0.99      0.99       231
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_support_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_support_clause_en_3_2.md
index be502fa443be8f..fbc568da91f119 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_support_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_support_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.99      0.98       120
      support       0.97      0.89      0.93        35
-    accuracy         -         -       0.97       155
+    accuracy          -         -      0.97       155
    macro-avg       0.97      0.94      0.95       155
 weighted-avg       0.97      0.97      0.97       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_returns_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_returns_clause_en_3_2.md
index 8dbbf1e51846a8..e10ae18d5d1199 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_returns_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_returns_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
               precision    recall  f1-score   support
        other       1.00      0.92      0.96        37
  tax-returns       0.75      1.00      0.86         9
-    accuracy         -         -       0.93        46
+    accuracy          -         -      0.93        46
    macro-avg       0.88      0.96      0.91        46
 weighted-avg       0.95      0.93      0.94        46
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_withholding_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_withholding_clause_en_3_2.md
index b7e89b7915cf40..19ab430fdd7b2a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_withholding_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_tax_withholding_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
           other       0.99      0.99      0.99       200
 tax-withholding       0.98      0.98      0.98        82
-       accuracy         -         -       0.99       282
+       accuracy          -         -      0.99       282
       macro-avg       0.98      0.98      0.98       282
    weighted-avg       0.99      0.99      0.99       282
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_taxes_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_taxes_clause_en_3_2.md
index deeafb3a2b71ce..da3c0a13325482 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_taxes_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_taxes_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.97      0.96       115
        taxes       0.90      0.85      0.88        41
-    accuracy         -         -       0.94       156
+    accuracy          -         -      0.94       156
    macro-avg       0.92      0.91      0.92       156
 weighted-avg       0.94      0.94      0.94       156
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_and_termination_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_and_termination_clause_en_3_2.md
index c9d70bc4976cd5..d6e52cdd679fad 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_and_termination_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_and_termination_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
                other       0.97      0.97      0.97        95
 term-and-termination       0.93      0.93      0.93        40
-            accuracy         -         -       0.96       135
+            accuracy          -         -      0.96       135
            macro-avg       0.95      0.95      0.95       135
         weighted-avg       0.96      0.96      0.96       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_of_employment_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_of_employment_clause_en_3_2.md
index 9f55ecabf3df1c..b715a80e2a18a7 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_of_employment_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_term_of_employment_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
              label  precision    recall  f1-score   support
              other       1.00      0.98      0.99        96
 term-of-employment       0.95      1.00      0.97        38
-          accuracy         -         -       0.99       134
-         macro avg       0.97      0.99      0.98       134
-      weighted avg       0.99      0.99      0.99       134
+          accuracy          -         -      0.99       134
+         macro-avg       0.97      0.99      0.98       134
+      weighted-avg       0.99      0.99      0.99       134
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_clause_en_3_2.md
index 7aaebcb4ded63d..28343940d49382 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                    label  precision    recall  f1-score   support
 duration-and-termination       0.93      0.89      0.91        28
                    other       0.97      0.98      0.98       107
-                accuracy         -         -       0.96       135
+                accuracy          -         -      0.96       135
                macro-avg       0.95      0.94      0.94       135
             weighted-avg       0.96      0.96      0.96       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_agreement_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_agreement_clause_en_3_2.md
index 89f89c839b28ea..87879efe914637 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_agreement_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_agreement_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                    label  precision    recall  f1-score   support
                    other       0.96      0.99      0.97        74
 termination-of-agreement       0.97      0.93      0.95        42
-                accuracy         -         -       0.97       116
-               macro avg       0.97      0.96      0.96       116
-            weighted avg       0.97      0.97      0.97       116
+                accuracy          -         -      0.97       116
+               macro-avg       0.97      0.96      0.96       116
+            weighted-avg       0.97      0.97      0.97       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_employment_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_employment_clause_en_3_2.md
index 7bf97a17485e21..a4109c948bd1d4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_employment_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_termination_of_employment_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                     label  precision    recall  f1-score   support
                     other       0.97      1.00      0.99        72
 termination-of-employment       1.00      0.95      0.98        42
-                 accuracy         -         -       0.98       114
+                 accuracy          -         -      0.98       114
                 macro-avg       0.99      0.98      0.98       114
              weighted-avg       0.98      0.98      0.98       114
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_terms_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_terms_clause_en_3_2.md
index 400b5e407cd129..ec7d8143b59efe 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_terms_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_terms_clause_en_3_2.md
@@ -105,7 +105,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.92      0.95      0.93       577
        terms       0.88      0.82      0.85       271
-    accuracy         -         -       0.91       848
+    accuracy          -         -      0.91       848
    macro-avg       0.90      0.88      0.89       848
 weighted-avg       0.91      0.91      0.91       848
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_closing_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_closing_clause_en_3_2.md
index 3bce60479acd97..eaa8edff2414a8 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_closing_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_closing_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      1.00      1.00       105
  the-closing       1.00      1.00      1.00        35
-    accuracy         -         -       1.00       140
+    accuracy          -         -      1.00       140
    macro-avg       1.00      1.00      1.00       140
 weighted-avg       1.00      1.00      1.00       140
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_merger_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_merger_clause_en_3_2.md
index 15615a1b0af1d3..3d508ea2980bad 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_merger_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_the_merger_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.98      1.00      0.99        98
   the-merger       1.00      0.95      0.97        38
-    accuracy         -         -       0.99       136
+    accuracy          -         -      0.99       136
    macro-avg       0.99      0.97      0.98       136
 weighted-avg       0.99      0.99      0.99       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_therefore_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_therefore_clause_en_3_2.md
index 677feebe72ec47..d7d21d9f267927 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_therefore_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_therefore_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.96      0.99      0.97        88
    therefore       0.98      0.92      0.95        48
-    accuracy         -         -       0.96       136
-   macro avg       0.97      0.95      0.96       136
-weighted avg       0.96      0.96      0.96       136
+    accuracy          -         -      0.96       136
+   macro-avg       0.97      0.95      0.96       136
+weighted-avg       0.96      0.96      0.96       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_third_party_beneficiaries_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_third_party_beneficiaries_clause_en_3_2.md
index 7b9f0fa5cbf0b6..ab63a313402588 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_third_party_beneficiaries_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_third_party_beneficiaries_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                        label  precision    recall  f1-score   support
 no-third-party-beneficiaries       0.96      0.96      0.96        49
                        other       0.98      0.98      0.98       130
-                    accuracy         -         -       0.98       179
+                    accuracy          -         -      0.98       179
                    macro-avg       0.97      0.97      0.97       179
                 weighted-avg       0.98      0.98      0.98       179
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_time_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_time_clause_en_3_2.md
index 5d019b855aa2cd..7189e070ac0962 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_time_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_time_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.98      0.99      0.99       304
         time       0.98      0.96      0.97       150
-    accuracy         -         -       0.98       454
+    accuracy          -         -      0.98       454
    macro-avg       0.98      0.98      0.98       454
 weighted-avg       0.98      0.98      0.98       454
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_title_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_title_clause_en_3_2.md
index f55ceebc15b4a1..14ac37d7ad3d52 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_title_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_title_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.98      0.96       179
        title       0.93      0.86      0.90        65
-    accuracy         -         -       0.95       244
+    accuracy          -         -      0.95       244
    macro-avg       0.94      0.92      0.93       244
 weighted-avg       0.95      0.95      0.95       244
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_transactions_with_affiliates_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_transactions_with_affiliates_clause_en_3_2.md
index 79e97642cdb96f..509b111733babd 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_transactions_with_affiliates_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_transactions_with_affiliates_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                        label  precision    recall  f1-score   support
                        other       0.97      0.98      0.97        86
 transactions-with-affiliates       0.92      0.88      0.90        26
-                    accuracy         -         -       0.96       112
+                    accuracy          -         -      0.96       112
                    macro-avg       0.94      0.93      0.94       112
                 weighted-avg       0.95      0.96      0.96       112
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfer_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfer_clause_en_3_2.md
index 6088683b8ec338..ab35b3e6351430 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfer_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfer_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.91      0.94      0.93        66
     transfer       0.90      0.86      0.88        43
-    accuracy         -         -       0.91       109
+    accuracy          -         -      0.91       109
    macro-avg       0.91      0.90      0.90       109
 weighted-avg       0.91      0.91      0.91       109
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfers_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfers_clause_en_3_2.md
index 44547d8afd6355..199069368fd6cb 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfers_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_transfers_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.83      0.93      0.88        99
    transfers       0.72      0.49      0.58        37
-    accuracy         -         -       0.81       136
+    accuracy          -         -      0.81       136
    macro-avg       0.77      0.71      0.73       136
 weighted-avg       0.80      0.81      0.80       136
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_trustee_may_file_proofs_of_claim_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_trustee_may_file_proofs_of_claim_clause_en_3_2.md
index 770332553faeee..f6c1a6b13e08d4 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_trustee_may_file_proofs_of_claim_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_trustee_may_file_proofs_of_claim_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                            label  precision    recall  f1-score   support
                            other       0.97      0.97      0.97        30
 trustee-may-file-proofs-of-claim       0.93      0.93      0.93        15
-                        accuracy         -         -       0.96        45
+                        accuracy          -         -      0.96        45
                        macro-avg       0.95      0.95      0.95        45
                     weighted-avg       0.96      0.96      0.96        45
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_undertaking_for_costs_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_undertaking_for_costs_clause_en_3_2.md
index 1081dfbf4123de..f96cb246ed369f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_undertaking_for_costs_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_undertaking_for_costs_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
                 other       0.98      0.98      0.98        44
 undertaking-for-costs       0.91      0.91      0.91        11
-             accuracy         -         -       0.96        55
+             accuracy          -         -      0.96        55
             macro-avg       0.94      0.94      0.94        55
          weighted-avg       0.96      0.96      0.96        55
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_usa_patriot_act_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_usa_patriot_act_clause_en_3_2.md
index 80fcf72b1cb409..474a3583e35840 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_usa_patriot_act_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_usa_patriot_act_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
           other       0.99      1.00      0.99        97
 usa-patriot-act       1.00      0.96      0.98        25
-       accuracy         -         -       0.99       122
+       accuracy          -         -      0.99       122
       macro-avg       0.99      0.98      0.99       122
    weighted-avg       0.99      0.99      0.99       122
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_clause_en_3_2.md
index 61d9918b2feedf..913c59397f5954 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                      label  precision    recall  f1-score   support
 absence-of-certain-changes       0.99      0.99      0.99        67
                      other       0.99      0.99      0.99       175
-                  accuracy         -         -       0.99       242
+                  accuracy          -         -      0.99       242
                  macro-avg       0.99      0.99      0.99       242
               weighted-avg       0.99      0.99      0.99       242
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_of_proceeds_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_of_proceeds_clause_en_3_2.md
index c3e8176f12c853..ea2f39d88dee35 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_of_proceeds_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_use_of_proceeds_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
           label  precision    recall  f1-score   support
           other       0.99      1.00      1.00       112
 use-of-proceeds       1.00      0.98      0.99        43
-       accuracy         -         -       0.99       155
+       accuracy          -         -      0.99       155
       macro-avg       1.00      0.99      0.99       155
    weighted-avg       0.99      0.99      0.99       155
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_utilities_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_utilities_clause_en_3_2.md
index 1fd0095036a8d9..d8dbae1a5b9962 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_utilities_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_utilities_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.99      0.98      0.99       105
    utilities       0.93      0.97      0.95        29
-    accuracy        -         -        0.98       134
+    accuracy          -         -      0.98       134
    macro-avg       0.96      0.97      0.97       134
 weighted-avg       0.98      0.98      0.98       134
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_vacation_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_vacation_clause_en_3_2.md
index 453c6ff0e74ab9..69b74ace429acd 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_vacation_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_vacation_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      0.99      0.99        84
     vacation       0.98      1.00      0.99        51
-    accuracy         -         -       0.99       135
+    accuracy          -         -      0.99       135
    macro-avg       0.99      0.99      0.99       135
 weighted-avg       0.99      0.99      0.99       135
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_validity_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_validity_clause_en_3_2.md
index 9b1c99b602d684..aae3fc9d5856a9 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_validity_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_validity_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.96      0.98      0.97        89
     validity       0.94      0.89      0.92        37
-    accuracy        -         -        0.95       126
+    accuracy          -         -      0.95       126
    macro-avg       0.95      0.93      0.94       126
 weighted-avg       0.95      0.95      0.95       126
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_vesting_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_vesting_clause_en_3_2.md
index 1d0f24969ced82..f915f0bdcd343f 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_vesting_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_vesting_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       1.00      0.96      0.98        84
      vesting       0.90      1.00      0.95        28
-    accuracy         -         -       0.97       112
+    accuracy          -         -      0.97       112
    macro-avg       0.95      0.98      0.97       112
 weighted-avg       0.98      0.97      0.97       112
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_voting_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_voting_clause_en_3_2.md
index 21ad554c244b27..a7ce836a04cc1a 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_voting_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_voting_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.97      0.98      0.98       193
       voting       0.96      0.93      0.95        75
-    accuracy        -         -        0.97       268
+    accuracy          -         -      0.97       268
    macro-avg       0.97      0.96      0.96       268
 weighted-avg       0.97      0.97      0.97       268
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_waiver_of_jury_trial_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_waiver_of_jury_trial_clause_en_3_2.md
index d7fece5e505888..1faa311a90335d 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_waiver_of_jury_trial_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_waiver_of_jury_trial_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                label  precision    recall  f1-score   support
                other       0.96      0.99      0.98       102
 waiver-of-jury-trial       0.96      0.86      0.91        28
-            accuracy         -         -       0.96       130
+            accuracy          -         -      0.96       130
            macro-avg       0.96      0.92      0.94       130
         weighted-avg       0.96      0.96      0.96       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_waivers_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_waivers_clause_en_3_2.md
index f6487f80705cf5..8ffa03ae32da36 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_waivers_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_waivers_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.96      0.98      0.97       324
      waivers       0.96      0.90      0.93       128
-    accuracy        -         -        0.96       452
+    accuracy          -         -      0.96       452
    macro-avg       0.96      0.94      0.95       452
 weighted-avg       0.96      0.96      0.96       452
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_warranty_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_warranty_clause_en_3_2.md
index ea936df7a17fad..73558927a0c925 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_warranty_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_warranty_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.94      0.96      0.95        99
     warranty       0.86      0.81      0.83        31
-    accuracy         -         -       0.92       130
+    accuracy          -         -      0.92       130
    macro-avg       0.90      0.88      0.89       130
 weighted-avg       0.92      0.92      0.92       130
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_whereas_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_whereas_clause_en_3_2.md
index fe57c6f41de86d..f717c9257e0475 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_whereas_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_whereas_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.98      0.98      0.98       257
      whereas       0.97      0.96      0.96       126
-    accuracy         -         -       0.98       383
+    accuracy          -         -      0.98       383
    macro-avg       0.97      0.97      0.97       383
 weighted-avg       0.98      0.98      0.98       383
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-10-legclf_witnesseth_clause_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-10-legclf_witnesseth_clause_en_3_2.md
index 846aef979b2b78..9a7f1e9df0b6ea 100644
--- a/docs/_posts/josejuanmartinez/2022-08-10-legclf_witnesseth_clause_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-10-legclf_witnesseth_clause_en_3_2.md
@@ -106,7 +106,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
        other       0.95      0.94      0.95       125
   witnesseth       0.88      0.89      0.88        55
-    accuracy         -         -       0.93       180
+    accuracy          -         -      0.93       180
    macro-avg       0.91      0.92      0.92       180
 weighted-avg       0.93      0.93      0.93       180
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-08-17-finner_orgs_prods_alias_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-17-finner_orgs_prods_alias_en_3_2.md
index 35415d93cd19fc..cad5fc912c1c89 100644
--- a/docs/_posts/josejuanmartinez/2022-08-17-finner_orgs_prods_alias_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-17-finner_orgs_prods_alias_en_3_2.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: Financial ORG, PRODUCT and ALIAS NER (Large)
+title: Financial ORG, PRODUCT and ALIAS NER (Small)
 author: John Snow Labs
 name: finner_orgs_prods_alias
 date: 2022-08-17
diff --git a/docs/_posts/josejuanmartinez/2022-08-17-legner_orgs_prods_alias_en_3_2.md b/docs/_posts/josejuanmartinez/2022-08-17-legner_orgs_prods_alias_en_3_2.md
index 848c0e578d25a2..ccaf9d9fab8301 100644
--- a/docs/_posts/josejuanmartinez/2022-08-17-legner_orgs_prods_alias_en_3_2.md
+++ b/docs/_posts/josejuanmartinez/2022-08-17-legner_orgs_prods_alias_en_3_2.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: Legal ORG, PRODUCT and ALIAS NER
+title: Legal ORG, PRODUCT and ALIAS NER (small)
 author: John Snow Labs
 name: legner_orgs_prods_alias
 date: 2022-08-17
diff --git a/docs/_posts/josejuanmartinez/2022-09-06-finclf_augmented_esg_en.md b/docs/_posts/josejuanmartinez/2022-09-06-finclf_augmented_esg_en.md
index bccd2b853a23ce..971dbdc5a42271 100644
--- a/docs/_posts/josejuanmartinez/2022-09-06-finclf_augmented_esg_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-06-finclf_augmented_esg_en.md
@@ -133,7 +133,7 @@ Customer_Privacy                                  1.00          0.93         0.9
 Ecological_Impacts                                1.00          1.00         1.00          16
 Energy_Management                                 1.00          0.91         0.95          11
 GHG_Emissions                                     1.00          0.91         0.95          11
-accuracy                                            -             -          0.95         330
+accuracy                                             -             -         0.95         330
 macro-avg                                         0.95          0.95         0.95         330
 weighted-avg                                      0.95          0.95         0.95         330
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-09-06-finclf_bert_fls_en.md b/docs/_posts/josejuanmartinez/2022-09-06-finclf_bert_fls_en.md
index 56280c73f91b33..2ca9c2cb4441a8 100644
--- a/docs/_posts/josejuanmartinez/2022-09-06-finclf_bert_fls_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-06-finclf_bert_fls_en.md
@@ -107,7 +107,7 @@ In-house annotations on 10K financial reports and reports from Russell 3000 firm
     Specific_FLS       0.96      0.93      0.94       311
 Non-specific_FLS       0.91      0.94      0.92       215
          Not_FLS       0.84      0.87      0.85        70
-        accuracy         -         -       0.92       596
+        accuracy          -         -      0.92       596
        macro-avg       0.90      0.91      0.91       596
     weighted-avg       0.93      0.92      0.92       596
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-09-06-finclf_esg_en.md b/docs/_posts/josejuanmartinez/2022-09-06-finclf_esg_en.md
index acf291fb3008f9..b53f3fe18065b1 100644
--- a/docs/_posts/josejuanmartinez/2022-09-06-finclf_esg_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-06-finclf_esg_en.md
@@ -109,7 +109,7 @@ In-house annotations from scrapped annual reports and tweets about ESG
 Environmental        0.99      0.97      0.98        97
        Social        0.95      0.96      0.95       162
    Governance        0.91      0.90      0.91        71
-     accuracy          -         -       0.95       330
+     accuracy           -         -      0.95       330
     macro-avg        0.95      0.94      0.95       330
  weighted-avg        0.95      0.95      0.95       330
 ```  
diff --git a/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_confidentiality_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_confidentiality_clause_en.md
index af17f0ee8e56dd..5a0203ceefc7bb 100644
--- a/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_confidentiality_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_confidentiality_clause_en.md
@@ -107,7 +107,7 @@ In-house annotations on CUAD dataset
           label  precision    recall  f1-score   support
 confidentiality       1.00      0.91      0.95        11
           other       0.95      1.00      0.97        19
-       accuracy         -         -       0.97        30
+       accuracy          -         -      0.97        30
       macro-avg       0.97      0.95      0.96        30
    weighted-avg       0.97      0.97      0.97        30
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_obligations_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_obligations_clause_en.md
index d68b8aa7fe91c0..a2efa28793c12d 100644
--- a/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_obligations_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_obligations_clause_en.md
@@ -107,7 +107,7 @@ In-house annotations on CUAD dataset
        label  precision    recall  f1-score   support
  obligations       0.88      0.79      0.83        95
        other       0.88      0.93      0.90       152
-    accuracy         -         -       0.88       247
+    accuracy          -         -      0.88       247
    macro-avg       0.88      0.86      0.87       247
 weighted-avg       0.88      0.88      0.88       247
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_whereas_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_whereas_clause_en.md
index 033082cb6c399a..8dfde2e838b11d 100644
--- a/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_whereas_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-20-legclf_cuad_whereas_clause_en.md
@@ -107,7 +107,7 @@ In-house annotations on CUAD dataset
        label  precision    recall  f1-score   support
        other       0.98      0.94      0.96        67
      whereas       0.91      0.98      0.94        41
-    accuracy         -         -       0.95       108
+    accuracy          -         -      0.95       108
    macro-avg       0.95      0.96      0.95       108
 weighted-avg       0.96      0.95      0.95       108
 
diff --git a/docs/_posts/josejuanmartinez/2022-09-27-finassertion_time_en.md b/docs/_posts/josejuanmartinez/2022-09-27-finassertion_time_en.md
index 331af0b3533c5a..a895b453d04c84 100644
--- a/docs/_posts/josejuanmartinez/2022-09-27-finassertion_time_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-27-finassertion_time_en.md
@@ -37,22 +37,33 @@ This is an Assertion Status Model aimed to detect temporality (PRESENT, PAST, FU
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 
 ```python
-# YOUR NER HERE
-# ...
-embeddings = BertEmbeddings.pretrained("bert_embeddings_sec_bert_base","en") \
-    .setInputCols(["sentence", "token"]) \
+document_assembler = nlp.DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+tokenizer = nlp.Tokenizer()\
+    .setInputCols(["document"])\
+    .setOutputCol("token")
+
+embeddings = nlp.BertEmbeddings.pretrained("bert_embeddings_sec_bert_base","en") \
+    .setInputCols(["document", "token"]) \
     .setOutputCol("embeddings")
 
-chunk_converter = ChunkConverter() \
-    .setInputCols(["entity"]) \
+ner = finance.BertForTokenClassification.pretrained("finner_bert_roles","en","finance/models")\
+  .setInputCols("token", "document")\
+  .setOutputCol("ner")\
+  .setCaseSensitive(True)  
+
+chunk_converter = nlp.NerConverter() \
+    .setInputCols(["document", "token", "ner"]) \
     .setOutputCol("ner_chunk")
 
 assertion = finance.AssertionDLModel.pretrained("finassertion_time", "en", "finance/models")\
-    .setInputCols(["sentence", "ner_chunk", "embeddings"]) \
+    .setInputCols(["document", "ner_chunk", "embeddings"]) \
     .setOutputCol("assertion")
     
-nlpPipeline = Pipeline(stages=[
-    documentAssembler, 
+nlpPipeline = nlp.Pipeline(stages=[
+    document_assembler, 
     tokenizer,
     embeddings,
     ner,
@@ -64,10 +75,9 @@ empty_data = spark.createDataFrame([[""]]).toDF("text")
 
 model = nlpPipeline.fit(empty_data)
 
-lp = LightPipeline(model)
+lp = nlp.LightPipeline(model)
 
-texts = ["Atlantic Inc headquarters could possibly be relocated to Delaware by the end of next year",
-        "John Crawford will be hired by Atlantic Inc as CTO"]
+texts = ["John Crawford will be hired by Atlantic Inc as CTO"]
 
 lp.annotate(texts)
 ```
@@ -77,13 +87,8 @@ lp.annotate(texts)
 ## Results
 
 ```bash
-chunk,begin,end,entity_type,assertion
-Atlantic Inc,0,11,ORG,POSSIBLE
-Delaware,57,64,LOC,POSSIBLE
-
 chunk,begin,end,entity_type,assertion
 CTO,47,49,ROLE,FUTURE
-Atlantic Inc,31,42,ORG,FUTURE
 ```
 
 {:.model-param}
diff --git a/docs/_posts/josejuanmartinez/2022-09-27-legassertion_time_en.md b/docs/_posts/josejuanmartinez/2022-09-27-legassertion_time_en.md
index f094b127fe63ed..2623fe8cdec80e 100644
--- a/docs/_posts/josejuanmartinez/2022-09-27-legassertion_time_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-27-legassertion_time_en.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: Temporality / Certainty Assertion Status
+title: Temporality / Certainty Assertion Status (sm)
 author: John Snow Labs
 name: legassertion_time
 date: 2022-09-27
@@ -18,7 +18,7 @@ use_language_switcher: "Python-Scala-Java"
 
 ## Description
 
-This is an Assertion Status Model aimed to detect temporality (PRESENT, PAST, FUTURE) or Certainty (POSSIBLE) in your legal documents
+This is a small Assertion Status Model aimed to detect temporality (PRESENT, PAST, FUTURE) or Certainty (POSSIBLE) in your legal documents
 
 ## Predicted Entities
 
diff --git a/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_indemnifications_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_indemnifications_clause_en.md
index b96062b4b608f2..1e45e70cfdfad7 100644
--- a/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_indemnifications_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_indemnifications_clause_en.md
@@ -108,7 +108,7 @@ In-house annotations on CUAD dataset
            label  precision    recall  f1-score   support
 indemnifications       1.00      0.83      0.91        12
            other       0.83      1.00      0.91        10
-        accuracy         -         -       0.91        22
+        accuracy          -         -      0.91        22
        macro avg       0.92      0.92      0.91        22
     weighted avg       0.92      0.91      0.91        22
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_licenses_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_licenses_clause_en.md
index 98cfa5bf0d145b..67992b60053eb4 100644
--- a/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_licenses_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-27-legclf_cuad_licenses_clause_en.md
@@ -107,7 +107,7 @@ In-house annotations on CUAD dataset
        label  precision    recall  f1-score   support
     licenses       1.00      0.60      0.75        10
        other       0.84      1.00      0.91        21
-    accuracy         -         -       0.87        31
+    accuracy          -         -      0.87        31
    macro avg       0.92      0.80      0.83        31
 weighted avg       0.89      0.87      0.86        31
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforceability_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforceability_clause_en.md
index 1b256876098987..4aae539fbb20c1 100644
--- a/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforceability_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforceability_clause_en.md
@@ -107,7 +107,7 @@ Legal documents, scrapped from the Internet, and classified in-house
          label  precision    recall  f1-score   support
 enforceability       0.87      0.89      0.88        38
          other       0.95      0.94      0.94        78
-      accuracy         -         -       0.92       116
+      accuracy          -         -      0.92       116
      macro-avg       0.91      0.92      0.91       116
   weighted-avg       0.92      0.92      0.92       116
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforcement_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforcement_clause_en.md
index e3032d9eaebf72..7be8fe633a718f 100644
--- a/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforcement_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-28-legclf_enforcement_clause_en.md
@@ -107,7 +107,7 @@ Legal documents, scrapped from the Internet, and classified in-house
        label  precision    recall  f1-score   support
  enforcement       0.83      0.72      0.77        40
        other       0.88      0.93      0.91        88
-    accuracy        -          -       0.87       128
+    accuracy          -         -      0.87       128
    macro-avg       0.86      0.83      0.84       128
 weighted-avg       0.87      0.87      0.86       128
 
diff --git a/docs/_posts/josejuanmartinez/2022-09-28-legclf_environmental_matters_clause_en.md b/docs/_posts/josejuanmartinez/2022-09-28-legclf_environmental_matters_clause_en.md
index e8390e9ed2ffe7..9f100632c5ba58 100644
--- a/docs/_posts/josejuanmartinez/2022-09-28-legclf_environmental_matters_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-09-28-legclf_environmental_matters_clause_en.md
@@ -107,7 +107,7 @@ Legal documents, scrapped from the Internet, and classified in-house
                 label  precision    recall  f1-score   support
 environmental-matters       0.95      0.86      0.90        21
                 other       0.94      0.98      0.96        48
-             accuracy         -         -       0.94        69
+             accuracy          -         -      0.94        69
             macro-avg       0.94      0.92      0.93        69
          weighted-avg       0.94      0.94      0.94        69
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-18-legclf_cuad_warranty_clause_en.md b/docs/_posts/josejuanmartinez/2022-10-18-legclf_cuad_warranty_clause_en.md
index ac46620bdd0f8f..d101f431eca301 100644
--- a/docs/_posts/josejuanmartinez/2022-10-18-legclf_cuad_warranty_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-18-legclf_cuad_warranty_clause_en.md
@@ -104,7 +104,7 @@ CUAD dataset
       label     precision    recall  f1-score   support
        other       0.96      0.96      0.96        27
     warranty       0.93      0.93      0.93        14
-    accuracy        -         -        0.95        41
+    accuracy          -         -      0.95        41
    macro-avg       0.95      0.95      0.95        41
 weighted-avg       0.95      0.95      0.95        41
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-22-finclf_bert_sentiment_analysis_lt.md b/docs/_posts/josejuanmartinez/2022-10-22-finclf_bert_sentiment_analysis_lt.md
index a85adcbf7348cd..2bcc6b42bfd147 100644
--- a/docs/_posts/josejuanmartinez/2022-10-22-finclf_bert_sentiment_analysis_lt.md
+++ b/docs/_posts/josejuanmartinez/2022-10-22-finclf_bert_sentiment_analysis_lt.md
@@ -103,7 +103,7 @@ An in-house augmented version of [this dataset](https://www.kaggle.com/datasets/
        label    precision    recall  f1-score   support
          NEG       0.80      0.76      0.78       509
          POS       0.90      0.92      0.91      1167
-    accuracy        -         -        0.87      1676
+    accuracy         -         -       0.87      1676
    macro-avg       0.85      0.84      0.84      1676
 weighted-avg       0.87      0.87      0.87      1676
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_consulting_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_consulting_agreement_en.md
index 63dfe5ae60c64f..5f717c29973df4 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_consulting_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_consulting_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
               label   precision    recall  f1-score   support
 consulting-agreement       0.92      0.85      0.88        26
                other       0.91      0.96      0.93        45
-            accuracy        -          -       0.92        71
+            accuracy         -          -      0.92        71
            macro-avg       0.92      0.90      0.91        71
         weighted-avg       0.92      0.92      0.91        71
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_credit_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_credit_agreement_en.md
index 79c568fa157ff8..542404af21e09d 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_credit_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_credit_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
            label   precision    recall  f1-score   support
 credit-agreement       0.94      0.94      0.94        36
            other       0.97      0.97      0.97        62
-        accuracy        -         -        0.96        98
+        accuracy          -         -      0.96        98
        macro-avg       0.96      0.96      0.96        98
     weighted-avg       0.96      0.96      0.96        98
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_employment_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_employment_agreement_en.md
index bd6e87601a252f..4ce367493a5746 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_employment_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_employment_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
                label  precision    recall  f1-score   support
 employment-agreement       0.96      1.00      0.98        24
                other       1.00      0.98      0.99        62
-            accuracy        -         -        0.99        86
+            accuracy          -         -      0.99        86
            macro-avg       0.98      0.99      0.99        86
         weighted-avg       0.99      0.99      0.99        86
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_lease_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_lease_agreement_en.md
index 744970a6373849..4c50d9716a10bf 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_lease_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_lease_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
           label  precision    recall  f1-score   support
 lease-agreement       0.94      0.97      0.96        33
           other       0.98      0.97      0.98        62
-       accuracy        -         -        0.97        95
+       accuracy          -         -      0.97        95
       macro-avg       0.96      0.97      0.97        95
    weighted-avg       0.97      0.97      0.97        95
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_loan_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_loan_agreement_en.md
index a2e7ef62017824..5f348c806e1c0b 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_loan_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_loan_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
          label  precision    recall  f1-score   support
 loan-agreement       0.92      0.92      0.92        39
          other       0.95      0.95      0.95        62
-      accuracy        -         -        0.94       101
+      accuracy          -         -      0.94       101
      macro-avg       0.94      0.94      0.94       101
   weighted-avg       0.94      0.94      0.94       101
 
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_management_contract_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_management_contract_en.md
index fbd350286b8cd3..4f163a8367657a 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_management_contract_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_management_contract_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
               label  precision    recall  f1-score   support
 management-contract       0.97      0.94      0.95        31
               other       0.96      0.98      0.97        52
-           accuracy        -         -        0.96        83
+           accuracy          -         -      0.96        83
           macro-avg       0.96      0.96      0.96        83
        weighted-avg       0.96      0.96      0.96        83
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_purchase_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_purchase_agreement_en.md
index 09449749418dfd..5722c5798c4d15 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_purchase_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_purchase_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
              label  precision    recall  f1-score   support
              other       0.97      1.00      0.98        62
 purchase-agreement       1.00      0.93      0.97        30
-          accuracy        -         -        0.98        92
+          accuracy          -         -      0.98        92
          macro-avg       0.98      0.97      0.97        92
       weighted-avg       0.98      0.98      0.98        92
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-10-24-legclf_service_agreement_en.md b/docs/_posts/josejuanmartinez/2022-10-24-legclf_service_agreement_en.md
index fb105bc6147e32..8056db8f900664 100644
--- a/docs/_posts/josejuanmartinez/2022-10-24-legclf_service_agreement_en.md
+++ b/docs/_posts/josejuanmartinez/2022-10-24-legclf_service_agreement_en.md
@@ -112,7 +112,7 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
             label  precision    recall  f1-score   support
             other       0.94      0.98      0.96        52
 service-agreement       0.96      0.90      0.93        30
-         accuracy        -         -        0.95        82
+         accuracy          -         -      0.95        82
         macro avg       0.95      0.94      0.95        82
      weighted avg       0.95      0.95      0.95        82
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-11-03-finclf_acquisitions_item_en.md b/docs/_posts/josejuanmartinez/2022-11-03-finclf_acquisitions_item_en.md
index 5ab1104a9dcd5d..e8563ca56c3a0c 100644
--- a/docs/_posts/josejuanmartinez/2022-11-03-finclf_acquisitions_item_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-03-finclf_acquisitions_item_en.md
@@ -101,13 +101,10 @@ Weak labelling on documents from Edgar database
 ## Benchmarking
 
 ```bash
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
 acquisitions       0.95      0.89      0.92       136
        other       0.96      0.98      0.97       412
-
-    accuracy                           0.96       548
-   macro avg       0.95      0.94      0.95       548
-weighted avg       0.96      0.96      0.96       548
-
+    accuracy          -         -      0.96       548
+   macro-avg       0.95      0.94      0.95       548
+weighted-avg       0.96      0.96      0.96       548
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-11-03-finclf_work_experience_item_en.md b/docs/_posts/josejuanmartinez/2022-11-03-finclf_work_experience_item_en.md
index c1de3a7ab83049..4306cce9baa4f0 100644
--- a/docs/_posts/josejuanmartinez/2022-11-03-finclf_work_experience_item_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-03-finclf_work_experience_item_en.md
@@ -101,13 +101,10 @@ Weak labelling on documents from Edgar database
 ## Benchmarking
 
 ```bash
-                 precision    recall  f1-score   support
-
-          other       0.94      0.98      0.96       432
-work_experience       0.91      0.79      0.85       130
-
-       accuracy                           0.93       562
-      macro avg       0.93      0.88      0.90       562
-   weighted avg       0.93      0.93      0.93       562
-
+          label   precision    recall  f1-score   support
+          other        0.94      0.98      0.96       432
+work_experience        0.91      0.79      0.85       130
+       accuracy           -         -      0.93       562
+      macro-avg        0.93      0.88      0.90       562
+   weighted-avg        0.93      0.93      0.93       562
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-11-09-legclf_cuad_termination_clause_en.md b/docs/_posts/josejuanmartinez/2022-11-09-legclf_cuad_termination_clause_en.md
index 8491098a05e922..8f6e9c72cbcaff 100644
--- a/docs/_posts/josejuanmartinez/2022-11-09-legclf_cuad_termination_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-09-legclf_cuad_termination_clause_en.md
@@ -106,7 +106,7 @@ In-house annotations on CUAD dataset
 label              precision    recall  f1-score   support
        other       1.00      0.97      0.99        35
  termination       0.98      1.00      0.99        44
-    accuracy          -             -    0.99        79
+    accuracy          -         -      0.99        79
    macro-avg       0.99      0.99      0.99        79
 weighted-avg       0.99      0.99      0.99        79
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_employee_benefit_plans_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_employee_benefit_plans_md_en.md
index 104bde1d825460..2076b2ca60d244 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_employee_benefit_plans_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_employee_benefit_plans_md_en.md
@@ -102,13 +102,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                        precision    recall  f1-score   support
-
+                 label  precision    recall  f1-score   support
 employee-benefit-plans       1.00      1.00      1.00        28
                  other       1.00      1.00      1.00        39
-
-              accuracy                           1.00        67
-             macro avg       1.00      1.00      1.00        67
-          weighted avg       1.00      1.00      1.00        67
-
+              accuracy          -         -      1.00        67
+             macro-avg       1.00      1.00      1.00        67
+          weighted-avg       1.00      1.00      1.00        67
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_grievance_procedure_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_grievance_procedure_md_en.md
index 8be80d443e96c8..64765f783e32ab 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_grievance_procedure_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_grievance_procedure_md_en.md
@@ -43,6 +43,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,13 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                     precision    recall  f1-score   support
-
+              label  precision    recall  f1-score   support
 grievance-procedure       1.00      0.96      0.98        24
               other       0.97      1.00      0.99        39
-
-           accuracy                           0.98        63
-          macro avg       0.99      0.98      0.98        63
-       weighted avg       0.98      0.98      0.98        63
-
+           accuracy          -         -      0.98        63
+          macro-avg       0.99      0.98      0.98        63
+       weighted-avg       0.98      0.98      0.98        63
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_and_contribution_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_and_contribution_md_en.md
index 73aaad1865be2b..e011f63d7033c8 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_and_contribution_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_and_contribution_md_en.md
@@ -43,6 +43,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,13 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                 precision    recall  f1-score   support
-
+          label  precision    recall  f1-score   support
 indemnification       0.96      1.00      0.98        25
           other       1.00      0.97      0.99        39
-
-       accuracy                           0.98        64
-      macro avg       0.98      0.99      0.98        64
-   weighted avg       0.98      0.98      0.98        64
-
+       accuracy          -         -      0.98        64
+      macro-avg       0.98      0.99      0.98        64
+   weighted-avg       0.98      0.98      0.98        64
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_md_en.md
index 3d450d81aa1d59..b7e9831777f7c5 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_indemnification_md_en.md
@@ -43,6 +43,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,13 +103,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                                  precision    recall  f1-score   support
-
+                           label  precision    recall  f1-score   support
 indemnification-and-contribution       0.96      0.89      0.93        28
                            other       0.93      0.97      0.95        39
-
-                        accuracy                           0.94        67
-                       macro avg       0.94      0.93      0.94        67
-                    weighted avg       0.94      0.94      0.94        67
+                        accuracy          -         -      0.94        67
+                       macro-avg       0.94      0.93      0.94        67
+                    weighted-avg       0.94      0.94      0.94        67
 
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_method_of_payment_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_method_of_payment_md_en.md
index cfef305b6199ab..5b6223fab7d14f 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_method_of_payment_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_method_of_payment_md_en.md
@@ -43,6 +43,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,13 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
 method-of-payment       0.95      1.00      0.97        35
             other       1.00      0.95      0.97        39
-
-         accuracy                           0.97        74
-        macro avg       0.97      0.97      0.97        74
-     weighted avg       0.97      0.97      0.97        74
-
+         accuracy          -         -      0.97        74
+        macro-avg       0.97      0.97      0.97        74
+     weighted-avg       0.97      0.97      0.97        74
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_power_of_attorney_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_power_of_attorney_md_en.md
index 8117da08c257da..486a3d0c7ea150 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_power_of_attorney_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_power_of_attorney_md_en.md
@@ -43,6 +43,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,13 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-                   precision    recall  f1-score   support
-
+            label  precision    recall  f1-score   support
             other       0.89      1.00      0.94        39
 power-of-attorney       1.00      0.79      0.88        24
-
-         accuracy                           0.92        63
-        macro avg       0.94      0.90      0.91        63
-     weighted avg       0.93      0.92      0.92        63
-
+         accuracy          -         -      0.92        63
+        macro-avg       0.94      0.90      0.91        63
+     weighted-avg       0.93      0.92      0.92        63
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_termination_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_termination_md_en.md
index 5102d31df69dff..647975851cd670 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_termination_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_termination_md_en.md
@@ -103,13 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       0.95      1.00      0.97        39
  termination       1.00      0.94      0.97        32
-
-    accuracy                           0.97        71
-   macro avg       0.98      0.97      0.97        71
-weighted avg       0.97      0.97      0.97        71
-
+    accuracy          -         -      0.97        71
+   macro-avg       0.98      0.97      0.97        71
+weighted-avg       0.97      0.97      0.97        71
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-16-legclf_whereas_md_en.md b/docs/_posts/josejuanmartinez/2022-11-16-legclf_whereas_md_en.md
index 24c98084d9f52d..9251a30fcc4c2c 100644
--- a/docs/_posts/josejuanmartinez/2022-11-16-legclf_whereas_md_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-16-legclf_whereas_md_en.md
@@ -44,6 +44,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -103,13 +104,11 @@ Legal documents, scrapped from the Internet, and classified in-house + SEC docum
 ## Benchmarking
 
 ```bash
-              precision    recall  f1-score   support
-
+       label  precision    recall  f1-score   support
        other       1.00      0.97      0.99        39
      whereas       0.97      1.00      0.99        38
-
-    accuracy                           0.99        77
-   macro avg       0.99      0.99      0.99        77
-weighted avg       0.99      0.99      0.99        77
+    accuracy          -         -      0.99        77
+   macro-avg       0.99      0.99      0.99        77
+weighted-avg       0.99      0.99      0.99        77
 
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-17-legclf_cuad_signers_clause_en.md b/docs/_posts/josejuanmartinez/2022-11-17-legclf_cuad_signers_clause_en.md
index bf86d2d82fad80..3a23d977c3161f 100644
--- a/docs/_posts/josejuanmartinez/2022-11-17-legclf_cuad_signers_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-17-legclf_cuad_signers_clause_en.md
@@ -46,6 +46,7 @@ There are other models in this dataset with similar title, but the difference is
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,10 +103,10 @@ CUAD dataset
 ## Benchmarking
 
 ```bash
-label              precision    recall  f1-score   support
+       label  precision    recall  f1-score   support
        other       1.00      1.00      1.00        73
      signers       1.00      1.00      1.00        35
-    accuracy          -           -      1.00       108
+    accuracy          -         -      1.00       108
    macro-avg       1.00      1.00      1.00       108
 weighted-avg       1.00      1.00      1.00       108
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-17-legclf_introduction_clause_en.md b/docs/_posts/josejuanmartinez/2022-11-17-legclf_introduction_clause_en.md
index 4b44ef88f731f6..13c72b61b50ba0 100644
--- a/docs/_posts/josejuanmartinez/2022-11-17-legclf_introduction_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-17-legclf_introduction_clause_en.md
@@ -44,6 +44,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -102,11 +103,10 @@ Legal documents, scrapped from the Internet, and classified in-house, including
 ## Benchmarking
 
 ```bash
-label              precision    recall  f1-score   support
+       label  precision    recall  f1-score   support
 introduction       1.00      0.98      0.99        99
        other       0.99      1.00      0.99       151
-    accuracy         -          -        0.99       250
+    accuracy         -          -      0.99       250
    macro-avg       0.99      0.99      0.99       250
 weighted-avg       0.99      0.99      0.99       250
-
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-21-legclf_dates_sm_en.md b/docs/_posts/josejuanmartinez/2022-11-21-legclf_dates_sm_en.md
index e901da5104c551..4d13d019a7d2c4 100644
--- a/docs/_posts/josejuanmartinez/2022-11-21-legclf_dates_sm_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-21-legclf_dates_sm_en.md
@@ -35,6 +35,7 @@ This is a Text Classification model can help you classify if a paragraph talks a
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = DocumentAssembler() \
   .setInputCol("text") \
@@ -95,12 +96,12 @@ In-house annotations.
 ## Benchmarking
 
 ```bash
-label                  precision    recall  f1-score   support
+           label  precision    recall  f1-score   support
   EFFECTIVE_DATE       1.00      0.80      0.89         5
     RENEWAL_DATE       1.00      1.00      1.00         6
 TERMINATION_DATE       0.86      0.75      0.80         8
            other       0.91      1.00      0.95        21
-        accuracy           -        -        0.93        40
-       macro avg       0.94      0.89      0.91        40
-    weighted avg       0.93      0.93      0.92        40
+        accuracy          -         -      0.93        40
+       macro-avg       0.94      0.89      0.91        40
+    weighted-avg       0.93      0.93      0.92        40
 ```
\ No newline at end of file
diff --git a/docs/_posts/josejuanmartinez/2022-11-24-finclf_earning_broker_10k_en.md b/docs/_posts/josejuanmartinez/2022-11-24-finclf_earning_broker_10k_en.md
index f028f01e394193..148f43e77d5e5e 100644
--- a/docs/_posts/josejuanmartinez/2022-11-24-finclf_earning_broker_10k_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-24-finclf_earning_broker_10k_en.md
@@ -96,12 +96,12 @@ res = res.select('label.result')
 ## Benchmarking
 
 ```bash
-label precision    recall  f1-score   support
+        label  precision    recall  f1-score   support
           10k       1.00      1.00      1.00        17
 broker_report       1.00      1.00      1.00        18
  earning_call       1.00      1.00      1.00        19
         other       1.00      1.00      1.00        98
-     accuracy            -         -      1.00       152
+     accuracy          -         -      1.00       152
     macro-avg       1.00      1.00      1.00       152
  weighted-avg       1.00      1.00      1.00       152
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-11-28-legclf_cuad_confidentiality_clause_en.md b/docs/_posts/josejuanmartinez/2022-11-28-legclf_cuad_confidentiality_clause_en.md
index 221240274940d9..0c2e71b889c91f 100644
--- a/docs/_posts/josejuanmartinez/2022-11-28-legclf_cuad_confidentiality_clause_en.md
+++ b/docs/_posts/josejuanmartinez/2022-11-28-legclf_cuad_confidentiality_clause_en.md
@@ -44,6 +44,7 @@ This model can be combined with any of the other 200+ Legal Clauses Classifiers
 
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
+
 ```python
 documentAssembler = nlp.DocumentAssembler() \
      .setInputCol("clause_text") \
@@ -106,7 +107,7 @@ In-house annotations on CUAD dataset
           label  precision    recall  f1-score   support
 confidentiality       1.00      0.91      0.95        11
           other       0.95      1.00      0.97        19
-       accuracy         -         -       0.97        30
+       accuracy          -         -      0.97        30
       macro-avg       0.97      0.95      0.96        30
    weighted-avg       0.97      0.97      0.97        30
 ```
diff --git a/docs/_posts/josejuanmartinez/2022-12-16-legner_sigma_absa_people_en.md b/docs/_posts/josejuanmartinez/2022-12-16-legner_sigma_absa_people_en.md
index 2fe2b99b498db7..6b0dc059882c5b 100644
--- a/docs/_posts/josejuanmartinez/2022-12-16-legner_sigma_absa_people_en.md
+++ b/docs/_posts/josejuanmartinez/2022-12-16-legner_sigma_absa_people_en.md
@@ -124,9 +124,11 @@ https://metatext.io/datasets/sigmalaw-absa
 ## Benchmarking
 
 ```bash
-label	 tp	 fp	 fn	 prec	 rec	 f1
-I-PER	 43	 2	 0	 0.95555556	 1.0	 0.97727275
-B-PER	 777	 11	 15	 0.9860406	 0.9810606	 0.98354435
-Macro-average 820 13 15 0.9707981 0.9905303 0.9805649
-Micro-average 820 13 15 0.9843938 0.98203593 0.9832135
+
+ label          tp   fp  fn  prec        rec         f1         
+ I-PER          43   2   0   0.95555556  1.0         0.97727275 
+ B-PER          777  11  15  0.9860406   0.9810606   0.98354435 
+ Macro-average  820  13  15  0.9707981   0.9905303   0.9805649  
+ Micro-average  820  13  15  0.9843938   0.98203593  0.9832135  
+ 
 ```
\ No newline at end of file
diff --git a/docs/_sass/custom.scss b/docs/_sass/custom.scss
index 2959bd1debb1e3..f51c5ff0de70ad 100755
--- a/docs/_sass/custom.scss
+++ b/docs/_sass/custom.scss
@@ -26,9 +26,12 @@ html {
 	scroll-behavior: smooth;
   }
 
-.article__content p {
-	margin-top: 0;
-	text-align: justify;
+.article__content {
+	padding: 0 15px;
+	p {
+		margin-top: 0;
+		text-align: justify;
+	}
 }
 
 h1,h2,h3,h4 {
@@ -2326,6 +2329,32 @@ code {
 	font-weight: 300 !important;
 }
 
+.input_output_wrapper {
+	display: flex;
+	.input_output_inner {
+		width: 50%;
+		flex: 0 0 50%;
+		padding: 40px 20px;
+	}
+	.input_output_title {
+		font-weight: 800;
+		font-size: 20px;
+		line-height: 35px;
+		margin-bottom: 10px;
+		text-align: center;
+		font-weight: 800;
+		border: none;
+		font-family: 'Montserrat', sans-serif;
+		color: #1E77B7;
+	}
+	figure {
+		margin: 0;
+		img {
+			height: auto;
+		}
+	}
+}
+
 .pagination {
 	list-style-type: none;
 	display: flex;
@@ -3427,6 +3456,12 @@ code {
 		width: 100%;
 		margin: 0;
 	}
+	.article__header {
+		padding: 54px 15px 0;
+	}
+	.model-wrap .article__content .table-model {
+		width: 100%;
+	}
 	.tab-item {
 		width: 47%;
 	}
@@ -3563,6 +3598,17 @@ code {
 		line-height: 24px;
 		margin: 0 0 15px;
 	}
+	.model-wrap .btn-box .button {
+		min-width: 170px;
+	}
+	.input_output_wrapper {
+		flex-direction: column;
+		.input_output_inner {
+			width: 100%;
+			flex: 0 0 100%;
+			padding: 30px 0;
+		}
+	}
 	.page__sidebar .sidebar-toc {
 		padding: 3rem 10px 10rem 10px;
 	}
@@ -3670,6 +3716,13 @@ code {
 		font-size: 17px;
 		line-height: 19px;
 	}
+	.model-wrap .btn-box {
+		flex-direction: column;
+		.button {
+			margin: 0 0 20px;
+			width: 100%;
+		}
+	}
 	.btn-box-install .button.button-blue {
 		min-width: 47%;
 	}
diff --git a/docs/en/alab/annotation_labs_releases/release_notes_4_5_0.md b/docs/en/alab/annotation_labs_releases/release_notes_4_5_0.md
new file mode 100644
index 00000000000000..f191409108cce1
--- /dev/null
+++ b/docs/en/alab/annotation_labs_releases/release_notes_4_5_0.md
@@ -0,0 +1,175 @@
+---
+layout: docs
+header: true
+seotitle: Annotation Lab | John Snow Labs
+title: Annotation Lab Release Notes 4.5.0
+permalink: /docs/en/alab/annotation_labs_releases/release_notes_4_5_0
+key: docs-licensed-release-notes
+modify_date: 2023-01-01
+show_nav: true
+sidebar:
+  nav: annotation-lab
+---
+
+<div class="h3-box" markdown="1">
+
+## 4.5.0
+
+Release date: **01-01-2023**
+
+Over the last year, Annotation Lab has grown to be much more than a document annotation tool. It became a full-fledged AI system, capable of testing pre-trained models and rules, applying them to new datasets, training, and tuning models, and exporting them to be deployed in production. All those features together with the new Playground concept presented in the current release notes contributed to the transformation of the Annotation Lab into the **NLP Lab**.
+A new Playground feature is released as part of the NLP Lab’s Hub that allows users to quickly test any model and/or rule on a snippet of text without the need to create a project and import tasks. 
+NLP Lab also supports the training of Legal and Finance models and Model evaluation for classification projects. 
+As always the release includes some stabilization and bug fixes for issues reported by our user community. Below are the details of what has been included in this release.
+
+## NLP Lab's Playground 
+NLP Lab introduces the Playground feature where users can directly deploy and test models and/or rules. In previous versions, the pre-annotation servers could only be deployed from within a given project. With the addition of the Playground, models can easily be deployed and tested on a sample text without going through the project setup wizard. Any model or rule can now be selected and deployed for testing by clicking on the "Open in Playground" button.
+
+![Playground deployment](https://user-images.githubusercontent.com/33893292/209965776-1c0a6b07-5526-496e-97f8-4b7a2cf2a6d1.gif)
+
+Rules are deployable in the Playground from the rules page. When a particular rule is deployed in the playground, the user can also change the parameters of the rules on the right side of the page. After saving the changes users need to click on the "Deploy" button to refresh the results of the pre-annotation on the provided text.
+
+![ruledeploy](https://user-images.githubusercontent.com/33893292/209978724-355fd3a2-aab4-4c38-869d-4f3432c657d3.gif)
+
+Deployment of models and rules is supported by floating and air-gapped licenses. Healthcare, Legal, and Finance models require a license with their respective scopes to be deployed in Playground. Unlike pre-annotation servers, only one playground can be deployed at any given time.
+
+## Export trained models to the S3 bucket
+
+With this release, users can easily export trained models to a given s3 bucket. This feature is available on the Available Models page under the Hub tab. Users need to enter the S3 bucket path, S3 access key, and S3 secret key to upload the model to the S3 bucket.
+
+ ![ezgif com-gif-maker (1)](https://user-images.githubusercontent.com/73094423/210034029-4b1816bd-78dd-4551-ae6e-0303b58be8f0.gif)
+
+
+## Support Training of Finance and Legal Models
+With this release, users can perform training of Legal and Finance models depending on the available license(s). When training a new model in the NLP Lab, users have the option to select what library to use. Two options were available up until now: Open source and Healthcare. This release adds two new options: Legal and Finance. This helps differentiate the library used for training the models. The new options are only available when at least one valid license with the corresponding scope is added to the License page.
+
+![Screenshot 2022-12-29 at 10 47 38 PM](https://user-images.githubusercontent.com/33893292/209985787-e03f9125-c716-4897-a1c9-47f91191d9bc.png)
+
+## Improvements
+### Keyword-based Search at task level
+
+Finding tokens on the Visual NER project was restricted to only one page, and searching for keywords from the labeling page on a text-based project was not available.
+
+NLP Lab supports task-level keyword-based searches. The keyword-based search feature will work for text and Visual NER projects alike.
+
+- The search will work on all paginated pages.
+- It is also possible to navigate between search results, even if that result is located on another page.
+
+**Important**
+
+Previously this feature was implemented with the help of <search> tag in the Visual NER project configurations. With the implementation of search at task level, the previous search tag should be removed from existing visual NER projects.
+
+ _**Config to be removed from all existing Visual NER project:**_
+
+```
+<Search name="search" toName="image" placeholder="Search"/>
+```
+
+![text-search](https://user-images.githubusercontent.com/45035063/209945478-541a9d48-33b4-418c-8ea1-08d87b249e85.gif)
+
+![vOCR-search](https://user-images.githubusercontent.com/45035063/209945481-b4b3127b-ce2a-49af-a3cd-f35dbe7771a9.gif)
+
+
+### Chunk-based Search in Visual NER tasks
+
+In previous versions, users could only run token-based searches at page level. The search feature did not support searching a collection of tokens as a single chunk. With this release, users can find a chunk of tokens in the Visual NER task.
+
+![chunk-search](https://user-images.githubusercontent.com/45035063/209945712-c175f74a-b232-47f9-b807-4966ff54d976.gif)
+
+### Model Evaluation for Classification Projects
+
+![Screen Shot 2022-12-14 at 6 01 34 PM](https://user-images.githubusercontent.com/45035063/210033230-1044c26e-8925-4077-8113-dccca09ed736.png)
+
+Up until now, the Annotation Lab only supported test and model evaluation for the NER-based projects. From this version on, NLP Lab supports test and model evaluation for Classification project as well. Evaluation results can now be downloaded if needed. 
+
+### Hide and Unhide Regions in NER project 
+
+In this version, we support the hide/show annotated token regions feature in the text-based project in the same way as it was available in the Visual NER project.
+
+![hide-unhide-region](https://user-images.githubusercontent.com/45035063/209945808-f99043cd-a9fc-41a8-a85f-41bebea73512.gif)
+
+### Ground Truth can only be set/unset by the owner of the completion
+
+With this version, we have improved the feature to set/unset ground truth for a completion submitted by an annotator. Now, for the Manager/Project Owner/Reviewer, the button to set/unset ground truth is disabled. The ground truth can only be updated by the annotator who submitted the completion or is unset when a submitted completion is rejected by a reviewer. 
+
+![Screen Recording 2022-12-29 at 3 23 25 PM](https://user-images.githubusercontent.com/17021686/209933021-33b4c98a-fbbc-46e4-aae1-b858e8c73fe6.gif)
+
+
+### Finite Zoom Out Level in Visual NER tasks
+
+Previously, users could zoom in and zoom out again on images while working with the Visual NER project, but the user could not get what the last stage of zoom-out was. Now, when the user zooms out of the image if it is the last phase then the zoom-out button will automatically be disabled so the user knows where to stop zooming out next.
+
+![image](https://user-images.githubusercontent.com/73094423/210032879-36b86d98-5f13-40ea-836b-f2b61d63f4bf.png)
+
+### Taxonomy Location Customizable from the Project Configuration
+
+There are many different views available for each project template. This diversity can be confusing for users. For eliminating this complexity, the View tab was removed from the project configuration page and replaced by an “orientation” option that can be directly applied to the project configuration. Orientation will decide, where the taxonomy (labels, choices, text, images, etc.) will be located on the labeling screen i.e. placed at the top, bottom or next to the annotation screen.
+
+<img width="1140" alt="Screenshot 2022-12-30 at 10 57 13 AM" src="https://user-images.githubusercontent.com/33893292/210036948-70185f91-e0c9-4dbc-af75-622f2185a08f.png">
+
+### Pre-annotation CPU requirement message in Visual NER projects
+
+By default, the pre-annotation server uses 2 CPUs. For Visual NER pre-annotation, it is likely that 2 CPUs are not enough. Now a friendly message is shown during the deployment of Visual NER pre-annotation if the CPU count is less than or equal to 2.
+
+
+## Bug Fixes
+
+- **Expanding the text on the Labelling page visually does not expand the labeling area**
+
+Previously, expanding the text area on the labeling page did not make any changes in the text expansion. This issue has been fixed. Now, expanding the text will change the text area to full-screen mode.
+
+- **Revoking granted analytics request do not update the revoked section** 
+
+Earlier, when an analytics request was revoked, the corresponding entry was not shown in the revoked section. We have fixed this issue. With NLP Lab 4.5.0, the revoked entries are available in the revoked section. Also, when an analytics request is revoked, in the revoked section, two new actions, Accept and Delete, are available.
+
+- **Show Confidence score in Regions option is not working properly for non-Visual NER tasks**
+
+For none Visual NER tasks, enabling/disabling "Show Confidence score in Regions" from Layout did not change the UI. The changes only appear when the page was reloaded or when the Versions tab was clicked. This issue has been fixed in this version.
+
+- **Username validation is missing when creating a new user**
+
+With this version, the issue related to the missing validation of the username when creating a new user has been fixed.
+
+- **Issues with role selection on Teams page**
+
+When a user was added to the project team as a new team member, the recently added user name was still visible in the search bar. This issue has been fixed.
+
+- **Clicking on the eye icon to hide a labeled region removes the region from the Annotations widget**
+
+Previously, when a user clicked on the eye icon to hide a label, the labeled region was removed from the Annotations widget. Furthermore, the color of the label was also changed in the panel. This issue has been fixed.
+
+- **Deployed legal and finance models servers are not associated with their respective licenses**
+
+In the previous version, when a Legal and Finance model server was deployed, the respective licenses were not associated with their deployed server. The availability of the Legal and Finance license was checked when the models were deployed. Version 4.5.0 fixes this bug.
+
+- **Model Evaluation cannot be triggered using an air-gapped healthcare license with scope training/inference**
+
+The issue of triggering Model Evaluation using an air-gapped healthcare license with the training/inference scope has been fixed. 
+
+- **When user enabled "Allow user for custom selection of regions", token values are missing in JSON export**
+
+Earlier, when the user annotates tokens while enabling "Allow user for custom selection of regions" and exports the completion. The token values were missing from the JSON export. In this version, the issue is fixed, and all the token fields and values are available in the JSON
+
+- **Pre-annotation server with pending status is not removed when the user deletes the server from the cluster page**
+
+Deleting the pre-annotation server with status pending from the cluster page did not delete the pod from Kubernetes and created multiple pre-annotation pods. This issue has been fixed. 
+
+- **Project export with space in the name is allowed to be imported**
+
+In the earlier version, the users could import previously exported projects with space in the project's name. Though the project was listed on the projects page, the project could not be deleted. Also, the user was unable to perform any operations on the project.
+
+- **The “Only Assigned” checkbox overlaps the review dialog box**
+
+The overlap between the “Only Assigned” checkbox and the review dialog box was fixed. 
+
+- **Open-source Models cannot be downloaded in the NLP Lab without a license**
+
+Previously open-source models could not be downloaded from the NLP models hub when there was no license uploaded. This issue has been fixed. Now all open-source licenses are downloadable without any issue.
+
+</div><div class="prev_ver h3-box" markdown="1">
+
+## Versions
+
+</div>
+
+{%- include docs-annotation-pagination.html -%}
\ No newline at end of file
diff --git a/docs/en/alab/release_notes.md b/docs/en/alab/release_notes.md
index 9c66bc91867dc5..8c123b02afc592 100644
--- a/docs/en/alab/release_notes.md
+++ b/docs/en/alab/release_notes.md
@@ -6,7 +6,7 @@ seotitle: Release Notes | John Snow Labs
 title: Release Notes
 permalink: /docs/en/alab/release_notes
 key: docs-training
-modify_date: "2022-12-07"
+modify_date: "2023-01-01"
 use_language_switcher: "Python-Scala"
 show_nav: true
 sidebar:
@@ -15,20 +15,159 @@ sidebar:
 
 <div class="h3-box" markdown="1">
 
-## 4.4.1
+## 4.5.0
 
-Release date: **07-12-2022**
+Release date: **01-01-2023**
 
-Annotation Lab 4.4.1 hotfix has beed released and it includes few features, enhancements, and bug fixes.
+Over the last year, Annotation Lab has grown to be much more than a document annotation tool. It became a full-fledged AI system, capable of testing pre-trained models and rules, applying them to new datasets, training, and tuning models, and exporting them to be deployed in production. All those features together with the new Playground concept presented in the current release notes contributed to the transformation of the Annotation Lab into the **NLP Lab**.
+A new Playground feature is released as part of the NLP Lab’s Hub that allows users to quickly test any model and/or rule on a snippet of text without the need to create a project and import tasks. 
+NLP Lab also supports the training of Legal and Finance models and Model evaluation for classification projects. 
+As always the release includes some stabilization and bug fixes for issues reported by our user community. Below are the details of what has been included in this release.
 
-Here are the highlights of this release:
+## NLP Lab's Playground 
+NLP Lab introduces the Playground feature where users can directly deploy and test models and/or rules. In previous versions, the pre-annotation servers could only be deployed from within a given project. With the addition of the Playground, models can easily be deployed and tested on a sample text without going through the project setup wizard. Any model or rule can now be selected and deployed for testing by clicking on the "Open in Playground" button.
 
-### Highlights
+![Playground deployment](https://user-images.githubusercontent.com/33893292/209965776-1c0a6b07-5526-496e-97f8-4b7a2cf2a6d1.gif)
+
+Rules are deployable in the Playground from the rules page. When a particular rule is deployed in the playground, the user can also change the parameters of the rules on the right side of the page. After saving the changes users need to click on the "Deploy" button to refresh the results of the pre-annotation on the provided text.
+
+![ruledeploy](https://user-images.githubusercontent.com/33893292/209978724-355fd3a2-aab4-4c38-869d-4f3432c657d3.gif)
+
+Deployment of models and rules is supported by floating and air-gapped licenses. Healthcare, Legal, and Finance models require a license with their respective scopes to be deployed in Playground. Unlike pre-annotation servers, only one playground can be deployed at any given time.
+
+## Export trained models to the S3 bucket
+
+With this release, users can easily export trained models to a given s3 bucket. This feature is available on the Available Models page under the Hub tab. Users need to enter the S3 bucket path, S3 access key, and S3 secret key to upload the model to the S3 bucket.
+
+ ![ezgif com-gif-maker (1)](https://user-images.githubusercontent.com/73094423/210034029-4b1816bd-78dd-4551-ae6e-0303b58be8f0.gif)
+
+
+## Support Training of Finance and Legal Models
+With this release, users can perform training of Legal and Finance models depending on the available license(s). When training a new model in the NLP Lab, users have the option to select what library to use. Two options were available up until now: Open source and Healthcare. This release adds two new options: Legal and Finance. This helps differentiate the library used for training the models. The new options are only available when at least one valid license with the corresponding scope is added to the License page.
+
+![Screenshot 2022-12-29 at 10 47 38 PM](https://user-images.githubusercontent.com/33893292/209985787-e03f9125-c716-4897-a1c9-47f91191d9bc.png)
+
+## Improvements
+### Keyword-based Search at task level
+
+Finding tokens on the Visual NER project was restricted to only one page, and searching for keywords from the labeling page on a text-based project was not available.
+
+NLP Lab supports task-level keyword-based searches. The keyword-based search feature will work for text and Visual NER projects alike.
+
+- The search will work on all paginated pages.
+- It is also possible to navigate between search results, even if that result is located on another page.
+
+**Important**
+
+Previously this feature was implemented with the help of <search> tag in the Visual NER project configurations. With the implementation of search at task level, the previous search tag should be removed from existing visual NER projects.
+
+ _**Config to be removed from all existing Visual NER project:**_
+
+```
+<Search name="search" toName="image" placeholder="Search"/>
+```
+
+![text-search](https://user-images.githubusercontent.com/45035063/209945478-541a9d48-33b4-418c-8ea1-08d87b249e85.gif)
+
+![vOCR-search](https://user-images.githubusercontent.com/45035063/209945481-b4b3127b-ce2a-49af-a3cd-f35dbe7771a9.gif)
+
+
+### Chunk-based Search in Visual NER tasks
+
+In previous versions, users could only run token-based searches at page level. The search feature did not support searching a collection of tokens as a single chunk. With this release, users can find a chunk of tokens in the Visual NER task.
+
+![chunk-search](https://user-images.githubusercontent.com/45035063/209945712-c175f74a-b232-47f9-b807-4966ff54d976.gif)
+
+### Model Evaluation for Classification Projects
+
+![Screen Shot 2022-12-14 at 6 01 34 PM](https://user-images.githubusercontent.com/45035063/210033230-1044c26e-8925-4077-8113-dccca09ed736.png)
+
+Up until now, the Annotation Lab only supported test and model evaluation for the NER-based projects. From this version on, NLP Lab supports test and model evaluation for Classification project as well. Evaluation results can now be downloaded if needed. 
+
+### Hide and Unhide Regions in NER project 
+
+In this version, we support the hide/show annotated token regions feature in the text-based project in the same way as it was available in the Visual NER project.
+
+![hide-unhide-region](https://user-images.githubusercontent.com/45035063/209945808-f99043cd-a9fc-41a8-a85f-41bebea73512.gif)
+
+### Ground Truth can only be set/unset by the owner of the completion
+
+With this version, we have improved the feature to set/unset ground truth for a completion submitted by an annotator. Now, for the Manager/Project Owner/Reviewer, the button to set/unset ground truth is disabled. The ground truth can only be updated by the annotator who submitted the completion or is unset when a submitted completion is rejected by a reviewer. 
+
+![Screen Recording 2022-12-29 at 3 23 25 PM](https://user-images.githubusercontent.com/17021686/209933021-33b4c98a-fbbc-46e4-aae1-b858e8c73fe6.gif)
+
+
+### Finite Zoom Out Level in Visual NER tasks
+
+Previously, users could zoom in and zoom out again on images while working with the Visual NER project, but the user could not get what the last stage of zoom-out was. Now, when the user zooms out of the image if it is the last phase then the zoom-out button will automatically be disabled so the user knows where to stop zooming out next.
+
+![image](https://user-images.githubusercontent.com/73094423/210032879-36b86d98-5f13-40ea-836b-f2b61d63f4bf.png)
+
+### Taxonomy Location Customizable from the Project Configuration
+
+There are many different views available for each project template. This diversity can be confusing for users. For eliminating this complexity, the View tab was removed from the project configuration page and replaced by an “orientation” option that can be directly applied to the project configuration. Orientation will decide, where the taxonomy (labels, choices, text, images, etc.) will be located on the labeling screen i.e. placed at the top, bottom or next to the annotation screen.
+
+<img width="1140" alt="Screenshot 2022-12-30 at 10 57 13 AM" src="https://user-images.githubusercontent.com/33893292/210036948-70185f91-e0c9-4dbc-af75-622f2185a08f.png">
+
+### Pre-annotation CPU requirement message in Visual NER projects
+
+By default, the pre-annotation server uses 2 CPUs. For Visual NER pre-annotation, it is likely that 2 CPUs are not enough. Now a friendly message is shown during the deployment of Visual NER pre-annotation if the CPU count is less than or equal to 2.
+
+
+## Bug Fixes
+
+- **Expanding the text on the Labelling page visually does not expand the labeling area**
+
+Previously, expanding the text area on the labeling page did not make any changes in the text expansion. This issue has been fixed. Now, expanding the text will change the text area to full-screen mode.
+
+- **Revoking granted analytics request do not update the revoked section** 
+
+Earlier, when an analytics request was revoked, the corresponding entry was not shown in the revoked section. We have fixed this issue. With NLP Lab 4.5.0, the revoked entries are available in the revoked section. Also, when an analytics request is revoked, in the revoked section, two new actions, Accept and Delete, are available.
+
+- **Show Confidence score in Regions option is not working properly for non-Visual NER tasks**
+
+For none Visual NER tasks, enabling/disabling "Show Confidence score in Regions" from Layout did not change the UI. The changes only appear when the page was reloaded or when the Versions tab was clicked. This issue has been fixed in this version.
+
+- **Username validation is missing when creating a new user**
+
+With this version, the issue related to the missing validation of the username when creating a new user has been fixed.
+
+- **Issues with role selection on Teams page**
+
+When a user was added to the project team as a new team member, the recently added user name was still visible in the search bar. This issue has been fixed.
+
+- **Clicking on the eye icon to hide a labeled region removes the region from the Annotations widget**
+
+Previously, when a user clicked on the eye icon to hide a label, the labeled region was removed from the Annotations widget. Furthermore, the color of the label was also changed in the panel. This issue has been fixed.
+
+- **Deployed legal and finance models servers are not associated with their respective licenses**
+
+In the previous version, when a Legal and Finance model server was deployed, the respective licenses were not associated with their deployed server. The availability of the Legal and Finance license was checked when the models were deployed. Version 4.5.0 fixes this bug.
+
+- **Model Evaluation cannot be triggered using an air-gapped healthcare license with scope training/inference**
+
+The issue of triggering Model Evaluation using an air-gapped healthcare license with the training/inference scope has been fixed. 
+
+- **When user enabled "Allow user for custom selection of regions", token values are missing in JSON export**
+
+Earlier, when the user annotates tokens while enabling "Allow user for custom selection of regions" and exports the completion. The token values were missing from the JSON export. In this version, the issue is fixed, and all the token fields and values are available in the JSON
+
+- **Pre-annotation server with pending status is not removed when the user deletes the server from the cluster page**
+
+Deleting the pre-annotation server with status pending from the cluster page did not delete the pod from Kubernetes and created multiple pre-annotation pods. This issue has been fixed. 
+
+- **Project export with space in the name is allowed to be imported**
+
+In the earlier version, the users could import previously exported projects with space in the project's name. Though the project was listed on the projects page, the project could not be deleted. Also, the user was unable to perform any operations on the project.
+
+- **The “Only Assigned” checkbox overlaps the review dialog box**
+
+The overlap between the “Only Assigned” checkbox and the review dialog box was fixed. 
+
+- **Open-source Models cannot be downloaded in the NLP Lab without a license**
+
+Previously open-source models could not be downloaded from the NLP models hub when there was no license uploaded. This issue has been fixed. Now all open-source licenses are downloadable without any issue.
 
-- Users can now delete the relations using the backspace key (on windows) or delete key (on mac) or using the delete action icon on Relations widget.
-- Unsupported Legal and Finance models are now hidden on the Models Hub
-- Issue when deploying pre-annotation server for some assertion models have been fixed.
-- The "Only Assigned" checkbox state is preserved when user moves to the next task.
 
 </div><div class="prev_ver h3-box" markdown="1">
 
@@ -37,7 +176,8 @@ Here are the highlights of this release:
 </div>
 
 <ul class="pagination owl-carousel pagination_big">
-    <li class="active"><a href="annotation_labs_releases/release_notes_4_4_1">4.4.1</a></li>
+    <li class="active"><a href="annotation_labs_releases/release_notes_4_5_0">4.5.0</a></li>
+    <li><a href="annotation_labs_releases/release_notes_4_4_1">4.4.1</a></li>
     <li><a href="annotation_labs_releases/release_notes_4_4_0">4.4.0</a></li>
     <li><a href="annotation_labs_releases/release_notes_4_3_0">4.3.0</a></li>
 	<li><a href="annotation_labs_releases/release_notes_4_2_0">4.2.0</a></li>
diff --git a/docs/en/annotator_entries/BigTextMatcher.md b/docs/en/annotator_entries/BigTextMatcher.md
index 6275df8ab72c95..3fc83074d16403 100644
--- a/docs/en/annotator_entries/BigTextMatcher.md
+++ b/docs/en/annotator_entries/BigTextMatcher.md
@@ -16,11 +16,11 @@ CHUNK
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[BigTextMatcherModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/btm/BigTextMatcherModel)
+[BigTextMatcherModel](/api/com/johnsnowlabs/nlp/annotators/btm/BigTextMatcherModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[BigTextMatcherModel](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/big_text_matcher/index.html#sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel)
+[BigTextMatcherModel](/api/python/reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.html#sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -133,11 +133,11 @@ results.selectExpr("explode(entity)").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[BigTextMatcher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/btm/BigTextMatcher)
+[BigTextMatcher](/api/com/johnsnowlabs/nlp/annotators/btm/BigTextMatcher)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[BigTextMatcher](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/big_text_matcher/index.html#sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher)
+[BigTextMatcher](/api/python/reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.html#sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Chunk2Doc.md b/docs/en/annotator_entries/Chunk2Doc.md
index dfa2dcd859cca3..51f8bdb48e0a08 100644
--- a/docs/en/annotator_entries/Chunk2Doc.md
+++ b/docs/en/annotator_entries/Chunk2Doc.md
@@ -71,11 +71,11 @@ result.selectExpr("explode(chunkConverted)").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Chunk2Doc](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Chunk2Doc)
+[Chunk2Doc](/api/com/johnsnowlabs/nlp/Chunk2Doc)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Chunk2Doc](/api/python/reference/autosummary/python/sparknlp/base/chunk2_doc/index.html#sparknlp.base.chunk2_doc.Chunk2Doc)
+[Chunk2Doc](/api/python/reference/autosummary/sparknlp/base/chunk2_doc/index.html#sparknlp.base.chunk2_doc.Chunk2Doc)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/ChunkEmbeddings.md b/docs/en/annotator_entries/ChunkEmbeddings.md
index 0398b090bfe5df..4fd79450d0b179 100644
--- a/docs/en/annotator_entries/ChunkEmbeddings.md
+++ b/docs/en/annotator_entries/ChunkEmbeddings.md
@@ -147,11 +147,11 @@ result.selectExpr("explode(chunk_embeddings) as result")
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[ChunkEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/ChunkEmbeddings)
+[ChunkEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/ChunkEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ChunkEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/chunk_embeddings/index.html#sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings)
+[ChunkEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.html#sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/ChunkTokenizer.md b/docs/en/annotator_entries/ChunkTokenizer.md
index 39bdf7904ca66a..066a59c544a7d9 100644
--- a/docs/en/annotator_entries/ChunkTokenizer.md
+++ b/docs/en/annotator_entries/ChunkTokenizer.md
@@ -16,11 +16,11 @@ TOKEN
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[ChunkTokenizerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ChunkTokenizerModel)
+[ChunkTokenizerModel](/api/com/johnsnowlabs/nlp/annotators/ChunkTokenizerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[ChunkTokenizerModel](/api/python/reference/autosummary/python/sparknlp/annotator/token/chunk_tokenizer/index.html#sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel)
+[ChunkTokenizerModel](/api/python/reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.html#sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -149,11 +149,11 @@ result.selectExpr("entity.result as entity" , "chunk_token.result as chunk_token
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[ChunkTokenizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ChunkTokenizer)
+[ChunkTokenizer](/api/com/johnsnowlabs/nlp/annotators/ChunkTokenizer)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[ChunkTokenizer](/api/python/reference/autosummary/python/sparknlp/annotator/token/chunk_tokenizer/index.html#sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer)
+[ChunkTokenizer](/api/python/reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.html#sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Chunker.md b/docs/en/annotator_entries/Chunker.md
index fc3c724898f86a..0beaf178881782 100644
--- a/docs/en/annotator_entries/Chunker.md
+++ b/docs/en/annotator_entries/Chunker.md
@@ -138,11 +138,11 @@ result.selectExpr("explode(chunk) as result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Chunker](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Chunker)
+[Chunker](/api/com/johnsnowlabs/nlp/annotators/Chunker)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Chunker](/api/python/reference/autosummary/python/sparknlp/annotator/chunker/index.html#sparknlp.annotator.chunker.Chunker)
+[Chunker](/api/python/reference/autosummary/sparknlp/annotator/chunker/index.html#sparknlp.annotator.chunker.Chunker)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/ClassifierDL.md b/docs/en/annotator_entries/ClassifierDL.md
index 033ae4db77579d..f80ea27a03f97a 100644
--- a/docs/en/annotator_entries/ClassifierDL.md
+++ b/docs/en/annotator_entries/ClassifierDL.md
@@ -135,11 +135,11 @@ result.selectExpr("explode(arrays_zip(sentence, sarcasm)) as out")
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[ClassifierDLModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLModel)
+[ClassifierDLModel](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[ClassifierDLModel](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/classifier_dl/index.html#sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel)
+[ClassifierDLModel](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html#sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -296,11 +296,11 @@ val pipelineModel = pipeline.fit(smallCorpus)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[ClassifierDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLApproach)
+[ClassifierDLApproach](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[ClassifierDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/classifier_dl/index.html#sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach)
+[ClassifierDLApproach](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html#sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/ContextSpellChecker.md b/docs/en/annotator_entries/ContextSpellChecker.md
index ead52dcf6309f6..0aa18423f8d1d9 100644
--- a/docs/en/annotator_entries/ContextSpellChecker.md
+++ b/docs/en/annotator_entries/ContextSpellChecker.md
@@ -116,11 +116,11 @@ result.select("checked.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[ContextSpellCheckerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/context/ContextSpellCheckerModel)
+[ContextSpellCheckerModel](/api/com/johnsnowlabs/nlp/annotators/spell/context/ContextSpellCheckerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[ContextSpellCheckerModel](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/context_spell_checker/index.html#sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel)
+[ContextSpellCheckerModel](/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html#sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -235,11 +235,11 @@ val pipelineModel = pipeline.fit(dataset)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[ContextSpellCheckerApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/context/ContextSpellCheckerApproach)
+[ContextSpellCheckerApproach](/api/com/johnsnowlabs/nlp/annotators/spell/context/ContextSpellCheckerApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[ContextSpellCheckerApproach](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/context_spell_checker/index.html#sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach)
+[ContextSpellCheckerApproach](/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html#sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/DateMatcher.md b/docs/en/annotator_entries/DateMatcher.md
index edbb635250636a..af29d796ba24d4 100644
--- a/docs/en/annotator_entries/DateMatcher.md
+++ b/docs/en/annotator_entries/DateMatcher.md
@@ -110,11 +110,11 @@ result.selectExpr("date").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DateMatcher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/DateMatcher)
+[DateMatcher](/api/com/johnsnowlabs/nlp/annotators/DateMatcher)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DateMatcher](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/date_matcher/index.html#sparknlp.annotator.matcher.date_matcher.DateMatcher)
+[DateMatcher](/api/python/reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.html#sparknlp.annotator.matcher.date_matcher.DateMatcher)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/DependencyParser.md b/docs/en/annotator_entries/DependencyParser.md
index c12438d3aae2a5..3a52741a2393f6 100644
--- a/docs/en/annotator_entries/DependencyParser.md
+++ b/docs/en/annotator_entries/DependencyParser.md
@@ -151,11 +151,11 @@ result.selectExpr("explode(arrays_zip(token.result, dependency.result)) as cols"
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[DependencyParserModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/parser/dep/DependencyParserModel)
+[DependencyParserModel](/api/com/johnsnowlabs/nlp/annotators/parser/dep/DependencyParserModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[DependencyParserModel](/api/python/reference/autosummary/python/sparknlp/annotator/dependency/dependency_parser/index.html#sparknlp.annotator.dependency.dependency_parser.DependencyParserModel)
+[DependencyParserModel](/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html#sparknlp.annotator.dependency.dependency_parser.DependencyParserModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -274,11 +274,11 @@ val pipelineModel = pipeline.fit(emptyDataSet)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[DependencyParserApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/parser/dep/DependencyParserApproach)
+[DependencyParserApproach](/api/com/johnsnowlabs/nlp/annotators/parser/dep/DependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[DependencyParserApproach](/api/python/reference/autosummary/python/sparknlp/annotator/dependency/dependency_parser/index.html#sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach)
+[DependencyParserApproach](/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html#sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Doc2Chunk.md b/docs/en/annotator_entries/Doc2Chunk.md
index 261efe31d23b0a..d1ecb67e78e51c 100644
--- a/docs/en/annotator_entries/Doc2Chunk.md
+++ b/docs/en/annotator_entries/Doc2Chunk.md
@@ -79,11 +79,11 @@ result.selectExpr("chunk.result", "chunk.annotatorType").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Doc2Chunk](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Doc2Chunk)
+[Doc2Chunk](/api/com/johnsnowlabs/nlp/Doc2Chunk)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Doc2Chunk](/api/python/reference/autosummary/python/sparknlp/base/doc2_chunk/index.html#sparknlp.base.doc2_chunk.Doc2Chunk)
+[Doc2Chunk](/api/python/reference/autosummary/sparknlp/base/doc2_chunk/index.html#sparknlp.base.doc2_chunk.Doc2Chunk)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/Doc2Vec.md b/docs/en/annotator_entries/Doc2Vec.md
index b5d9e91a6b40f9..4566afea2fca89 100644
--- a/docs/en/annotator_entries/Doc2Vec.md
+++ b/docs/en/annotator_entries/Doc2Vec.md
@@ -129,11 +129,11 @@ result.selectExpr("explode(finished_embeddings) as result").show(1, 80)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[Doc2VecModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/Doc2VecModel)
+[Doc2VecModel](/api/com/johnsnowlabs/nlp/embeddings/Doc2VecModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[Doc2VecModel](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/doc2vec/index.html#sparknlp.annotator.embeddings.doc2vec.Doc2VecModel)
+[Doc2VecModel](/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html#sparknlp.annotator.embeddings.doc2vec.Doc2VecModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -234,11 +234,11 @@ val pipelineModel = pipeline.fit(dataset)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[Doc2VecApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/Doc2VecApproach)
+[Doc2VecApproach](/api/com/johnsnowlabs/nlp/embeddings/Doc2VecApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[Doc2VecApproach](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/doc2vec/index.html#sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach)
+[Doc2VecApproach](/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html#sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/DocumentAssembler.md b/docs/en/annotator_entries/DocumentAssembler.md
index a618c4f084fce6..b02ce6d379f917 100644
--- a/docs/en/annotator_entries/DocumentAssembler.md
+++ b/docs/en/annotator_entries/DocumentAssembler.md
@@ -86,11 +86,11 @@ root
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DocumentAssembler](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/DocumentAssembler)
+[DocumentAssembler](/api/com/johnsnowlabs/nlp/DocumentAssembler)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DocumentAssembler](/api/python/reference/autosummary/python/sparknlp/base/document_assembler/index.html#sparknlp.base.document_assembler.DocumentAssembler)
+[DocumentAssembler](/api/python/reference/autosummary/sparknlp/base/document_assembler/index.html#sparknlp.base.document_assembler.DocumentAssembler)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/DocumentNormalizer.md b/docs/en/annotator_entries/DocumentNormalizer.md
index bbc33510c40271..ac59e36e0046ce 100644
--- a/docs/en/annotator_entries/DocumentNormalizer.md
+++ b/docs/en/annotator_entries/DocumentNormalizer.md
@@ -115,11 +115,11 @@ result.selectExpr("normalizedDocument.result").show(truncate=false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DocumentNormalizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/DocumentNormalizer)
+[DocumentNormalizer](/api/com/johnsnowlabs/nlp/annotators/DocumentNormalizer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DocumentNormalizer](/api/python/reference/autosummary/python/sparknlp/annotator/document_normalizer/index.html#sparknlp.annotator.document_normalizer.DocumentNormalizer)
+[DocumentNormalizer](/api/python/reference/autosummary/sparknlp/annotator/document_normalizer/index.html#sparknlp.annotator.document_normalizer.DocumentNormalizer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/EmbeddingsFinisher.md b/docs/en/annotator_entries/EmbeddingsFinisher.md
index 59949c6e0d6089..f066fbc824471c 100644
--- a/docs/en/annotator_entries/EmbeddingsFinisher.md
+++ b/docs/en/annotator_entries/EmbeddingsFinisher.md
@@ -154,11 +154,11 @@ resultWithSize.show(5, 80)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[EmbeddingsFinisher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/EmbeddingsFinisher)
+[EmbeddingsFinisher](/api/com/johnsnowlabs/nlp/EmbeddingsFinisher)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[EmbeddingsFinisher](/api/python/reference/autosummary/python/sparknlp/base/embeddings_finisher/index.html#sparknlp.base.embeddings_finisher.EmbeddingsFinisher)
+[EmbeddingsFinisher](/api/python/reference/autosummary/sparknlp/base/embeddings_finisher/index.html#sparknlp.base.embeddings_finisher.EmbeddingsFinisher)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/EntityRuler.md b/docs/en/annotator_entries/EntityRuler.md
index 078a53659f6259..95c369bdae181d 100644
--- a/docs/en/annotator_entries/EntityRuler.md
+++ b/docs/en/annotator_entries/EntityRuler.md
@@ -16,11 +16,11 @@ CHUNK
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[EntityRulerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/er/EntityRulerModel)
+[EntityRulerModel](/api/com/johnsnowlabs/nlp/annotators/er/EntityRulerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[EntityRulerModel](/api/python/reference/autosummary/python/sparknlp/annotator/er/entity_ruler/index.html#sparknlp.annotator.er.entity_ruler.EntityRulerModel)
+[EntityRulerModel](/api/python/reference/autosummary/sparknlp/annotator/er/entity_ruler/index.html#sparknlp.annotator.er.entity_ruler.EntityRulerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -185,11 +185,11 @@ result.selectExpr("explode(entities)").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[EntityRulerApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/er/EntityRulerApproach)
+[EntityRulerApproach](/api/com/johnsnowlabs/nlp/annotators/er/EntityRulerApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[EntityRulerApproach](/api/python/reference/autosummary/python/sparknlp/annotator/er/entity_ruler/index.html#sparknlp.annotator.er.entity_ruler.EntityRulerApproach)
+[EntityRulerApproach](/api/python/reference/autosummary/sparknlp/annotator/er/entity_ruler/index.html#sparknlp.annotator.er.entity_ruler.EntityRulerApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Finisher.md b/docs/en/annotator_entries/Finisher.md
index 5133d294d207f4..0b7a8cc6f8cf6f 100644
--- a/docs/en/annotator_entries/Finisher.md
+++ b/docs/en/annotator_entries/Finisher.md
@@ -81,11 +81,11 @@ result.select("output").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Finisher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Finisher)
+[Finisher](/api/com/johnsnowlabs/nlp/Finisher)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Finisher](/api/python/reference/autosummary/python/sparknlp/base/finisher/index.html#sparknlp.base.finisher.Finisher)
+[Finisher](/api/python/reference/autosummary/sparknlp/base/finisher/index.html#sparknlp.base.finisher.Finisher)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/GraphExtraction.md b/docs/en/annotator_entries/GraphExtraction.md
index a2aaa5f28c3846..6a1d32f2a90b44 100644
--- a/docs/en/annotator_entries/GraphExtraction.md
+++ b/docs/en/annotator_entries/GraphExtraction.md
@@ -184,11 +184,11 @@ result.select("graph").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[GraphExtraction](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/GraphExtraction)
+[GraphExtraction](/api/com/johnsnowlabs/nlp/annotators/GraphExtraction)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[GraphExtraction](/api/python/reference/autosummary/python/sparknlp/annotator/graph_extraction/index.html#sparknlp.annotator.graph_extraction.GraphExtraction)
+[GraphExtraction](/api/python/reference/autosummary/sparknlp/annotator/graph_extraction/index.html#sparknlp.annotator.graph_extraction.GraphExtraction)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/GraphFinisher.md b/docs/en/annotator_entries/GraphFinisher.md
index a8d1981785c77b..43a700ad79bb2a 100644
--- a/docs/en/annotator_entries/GraphFinisher.md
+++ b/docs/en/annotator_entries/GraphFinisher.md
@@ -60,11 +60,11 @@ finishedResult.select("text", "graph_finished").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[GraphFinisher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/GraphFinisher)
+[GraphFinisher](/api/com/johnsnowlabs/nlp/GraphFinisher)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[GraphFinisher](/api/python/reference/autosummary/python/sparknlp/base/graph_finisher/index.html#sparknlp.base.graph_finisher.GraphFinisher)
+[GraphFinisher](/api/python/reference/autosummary/sparknlp/base/graph_finisher/index.html#sparknlp.base.graph_finisher.GraphFinisher)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/ImageAssembler.md b/docs/en/annotator_entries/ImageAssembler.md
index b50081cc745f5b..5490776e79a8f9 100644
--- a/docs/en/annotator_entries/ImageAssembler.md
+++ b/docs/en/annotator_entries/ImageAssembler.md
@@ -78,7 +78,7 @@ root
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ImageAssembler](/api/python/reference/autosummary/python/sparknlp/base/image_assembler/index.html#sparknlp.base.image_assembler.ImageAssembler)
+[ImageAssembler](/api/python/reference/autosummary/sparknlp/base/image_assembler/index.html#sparknlp.base.image_assembler.ImageAssembler)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/LanguageDetectorDL.md b/docs/en/annotator_entries/LanguageDetectorDL.md
index a974382f4854f3..7070d6b47b41f2 100644
--- a/docs/en/annotator_entries/LanguageDetectorDL.md
+++ b/docs/en/annotator_entries/LanguageDetectorDL.md
@@ -110,11 +110,11 @@ result.select("language.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[LanguageDetectorDL](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ld/dl/LanguageDetectorDL)
+[LanguageDetectorDL](/api/com/johnsnowlabs/nlp/annotators/ld/dl/LanguageDetectorDL)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[LanguageDetectorDL](/api/python/reference/autosummary/python/sparknlp/annotator/ld_dl/language_detector_dl/index.html#sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL)
+[LanguageDetectorDL](/api/python/reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.html#sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/Lemmatizer.md b/docs/en/annotator_entries/Lemmatizer.md
index 316cb862660ea3..80f99f534d4803 100644
--- a/docs/en/annotator_entries/Lemmatizer.md
+++ b/docs/en/annotator_entries/Lemmatizer.md
@@ -36,11 +36,11 @@ val lemmatizer = LemmatizerModel.pretrained()
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[LemmatizerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/LemmatizerModel)
+[LemmatizerModel](/api/com/johnsnowlabs/nlp/annotators/LemmatizerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[LemmatizerModel](/api/python/reference/autosummary/python/sparknlp/annotator/lemmatizer/index.html#sparknlp.annotator.lemmatizer.LemmatizerModel)
+[LemmatizerModel](/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html#sparknlp.annotator.lemmatizer.LemmatizerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -177,11 +177,11 @@ result.selectExpr("lemma.result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[Lemmatizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Lemmatizer)
+[Lemmatizer](/api/com/johnsnowlabs/nlp/annotators/Lemmatizer)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[Lemmatizer](/api/python/reference/autosummary/python/sparknlp/annotator/lemmatizer/index.html#sparknlp.annotator.lemmatizer.Lemmatizer)
+[Lemmatizer](/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html#sparknlp.annotator.lemmatizer.Lemmatizer)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/MultiClassifierDL.md b/docs/en/annotator_entries/MultiClassifierDL.md
index d7c8e5b31c256a..29882eab133799 100644
--- a/docs/en/annotator_entries/MultiClassifierDL.md
+++ b/docs/en/annotator_entries/MultiClassifierDL.md
@@ -130,11 +130,11 @@ result.select("text", "classifications.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[MultiClassifierDLModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLModel)
+[MultiClassifierDLModel](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[MultiClassifierDLModel](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html#sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel)
+[MultiClassifierDLModel](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html#sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -336,11 +336,11 @@ val pipelineModel = pipeline.fit(smallCorpus)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[MultiClassifierDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLApproach)
+[MultiClassifierDLApproach](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[MultiClassifierDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html#sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach)
+[MultiClassifierDLApproach](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html#sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/MultiDateMatcher.md b/docs/en/annotator_entries/MultiDateMatcher.md
index ebda41f3547e9c..f3c66fe7c041ba 100644
--- a/docs/en/annotator_entries/MultiDateMatcher.md
+++ b/docs/en/annotator_entries/MultiDateMatcher.md
@@ -103,11 +103,11 @@ result.selectExpr("explode(date) as dates").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[MultiDateMatcher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/MultiDateMatcher)
+[MultiDateMatcher](/api/com/johnsnowlabs/nlp/annotators/MultiDateMatcher)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[MultiDateMatcher](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/multi_date_matcher/index.html#sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher)
+[MultiDateMatcher](/api/python/reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.html#sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/MultiDocumentAssembler.md b/docs/en/annotator_entries/MultiDocumentAssembler.md
index 7072bf930d01f7..0670b0a2499468 100644
--- a/docs/en/annotator_entries/MultiDocumentAssembler.md
+++ b/docs/en/annotator_entries/MultiDocumentAssembler.md
@@ -93,7 +93,7 @@ root
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[MultiDocumentAssembler](/api/python/reference/autosummary/python/sparknlp/base/multi_document_assembler/index.html#sparknlp.base.multi_document_assembler.MultiDocumentAssembler)
+[MultiDocumentAssembler](/api/python/reference/autosummary/sparknlp/base/multi_document_assembler/index.html#sparknlp.base.multi_document_assembler.MultiDocumentAssembler)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/NGramGenerator.md b/docs/en/annotator_entries/NGramGenerator.md
index b86ede7efe8eb8..fb47ad66649318 100644
--- a/docs/en/annotator_entries/NGramGenerator.md
+++ b/docs/en/annotator_entries/NGramGenerator.md
@@ -118,11 +118,11 @@ results.selectExpr("explode(ngrams) as result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[NGramGenerator](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/NGramGenerator)
+[NGramGenerator](/api/com/johnsnowlabs/nlp/annotators/NGramGenerator)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[NGramGenerator](/api/python/reference/autosummary/python/sparknlp/annotator/n_gram_generator/index.html#sparknlp.annotator.n_gram_generator.NGramGenerator)
+[NGramGenerator](/api/python/reference/autosummary/sparknlp/annotator/n_gram_generator/index.html#sparknlp.annotator.n_gram_generator.NGramGenerator)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/NerConverter.md b/docs/en/annotator_entries/NerConverter.md
index 81671c91253ed2..9ae76eeea41b46 100644
--- a/docs/en/annotator_entries/NerConverter.md
+++ b/docs/en/annotator_entries/NerConverter.md
@@ -96,11 +96,11 @@ converter.transform(result).selectExpr("explode(entities)").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[NerConverter](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/NerConverter)
+[NerConverter](/api/com/johnsnowlabs/nlp/annotators/ner/NerConverter)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[NerConverter](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_converter/index.html#sparknlp.annotator.ner.ner_converter.NerConverter)
+[NerConverter](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_converter/index.html#sparknlp.annotator.ner.ner_converter.NerConverter)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/NerCrf.md b/docs/en/annotator_entries/NerCrf.md
index 0a402808956aee..cf36aace9e1cd4 100644
--- a/docs/en/annotator_entries/NerCrf.md
+++ b/docs/en/annotator_entries/NerCrf.md
@@ -146,11 +146,11 @@ result.select("ner.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[NerCrfModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/crf/NerCrfModel)
+[NerCrfModel](/api/com/johnsnowlabs/nlp/annotators/ner/crf/NerCrfModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[NerCrfModel](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_crf/index.html#sparknlp.annotator.ner.ner_crf.NerCrfModel)
+[NerCrfModel](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html#sparknlp.annotator.ner.ner_crf.NerCrfModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -272,11 +272,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[NerCrfApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/crf/NerCrfApproach)
+[NerCrfApproach](/api/com/johnsnowlabs/nlp/annotators/ner/crf/NerCrfApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[NerCrfApproach](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_crf/index.html#sparknlp.annotator.ner.ner_crf.NerCrfApproach)
+[NerCrfApproach](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html#sparknlp.annotator.ner.ner_crf.NerCrfApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/NerDL.md b/docs/en/annotator_entries/NerDL.md
index 5e45275daaed1e..7089c68925f95f 100644
--- a/docs/en/annotator_entries/NerDL.md
+++ b/docs/en/annotator_entries/NerDL.md
@@ -137,11 +137,11 @@ result.select("ner.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[NerDLModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLModel)
+[NerDLModel](/api/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[NerDLModel](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_dl/index.html#sparknlp.annotator.ner.ner_dl.NerDLModel)
+[NerDLModel](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html#sparknlp.annotator.ner.ner_dl.NerDLModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -315,11 +315,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[NerDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLApproach)
+[NerDLApproach](/api/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[NerDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_dl/index.html#sparknlp.annotator.ner.ner_dl.NerDLApproach)
+[NerDLApproach](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html#sparknlp.annotator.ner.ner_dl.NerDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/NerOverwriter.md b/docs/en/annotator_entries/NerOverwriter.md
index 22a924c16fd113..668b9019f2ed05 100644
--- a/docs/en/annotator_entries/NerOverwriter.md
+++ b/docs/en/annotator_entries/NerOverwriter.md
@@ -189,11 +189,11 @@ nerOverwriter.transform(result).selectExpr("explode(ner_overwritten)").show(fals
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[NerOverwriter](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/NerOverwriter)
+[NerOverwriter](/api/com/johnsnowlabs/nlp/annotators/ner/NerOverwriter)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[NerOverwriter](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_overwriter/index.html#sparknlp.annotator.ner.ner_overwriter.NerOverwriter)
+[NerOverwriter](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.html#sparknlp.annotator.ner.ner_overwriter.NerOverwriter)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/Normalizer.md b/docs/en/annotator_entries/Normalizer.md
index 6ecaca4d05eb27..0ace314c9829fd 100644
--- a/docs/en/annotator_entries/Normalizer.md
+++ b/docs/en/annotator_entries/Normalizer.md
@@ -15,11 +15,11 @@ TOKEN
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[NormalizerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/NormalizerModel)
+[NormalizerModel](/api/com/johnsnowlabs/nlp/annotators/NormalizerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[NormalizerModel](/api/python/reference/autosummary/python/sparknlp/annotator/normalizer/index.html#sparknlp.annotator.normalizer.NormalizerModel)
+[NormalizerModel](/api/python/reference/autosummary/sparknlp/annotator/normalizer/index.html#sparknlp.annotator.normalizer.NormalizerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -120,11 +120,11 @@ result.selectExpr("normalized.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[Normalizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Normalizer)
+[Normalizer](/api/com/johnsnowlabs/nlp/annotators/Normalizer)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[Normalizer](/api/python/reference/autosummary/python/sparknlp/annotator/normalizer/index.html#sparknlp.annotator.normalizer.Normalizer)
+[Normalizer](/api/python/reference/autosummary/sparknlp/annotator/normalizer/index.html#sparknlp.annotator.normalizer.Normalizer)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/NorvigSweeting.md b/docs/en/annotator_entries/NorvigSweeting.md
index a3d212056bae7c..2af33e4055bc3d 100644
--- a/docs/en/annotator_entries/NorvigSweeting.md
+++ b/docs/en/annotator_entries/NorvigSweeting.md
@@ -110,11 +110,11 @@ result.select("spell.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[NorvigSweetingModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingModel)
+[NorvigSweetingModel](/api/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[NorvigSweetingModel](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/norvig_sweeting/index.html#sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel)
+[NorvigSweetingModel](/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html#sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -228,11 +228,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[NorvigSweetingApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingApproach)
+[NorvigSweetingApproach](/api/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[NorvigSweetingApproach](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/norvig_sweeting/index.html#sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach)
+[NorvigSweetingApproach](/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html#sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Perceptron.md b/docs/en/annotator_entries/Perceptron.md
index 108ba03e130ce8..1c7b35d73838c6 100644
--- a/docs/en/annotator_entries/Perceptron.md
+++ b/docs/en/annotator_entries/Perceptron.md
@@ -121,11 +121,11 @@ result.selectExpr("explode(pos) as pos").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[PerceptronModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/pos/perceptron/PerceptronModel)
+[PerceptronModel](/api/com/johnsnowlabs/nlp/annotators/pos/perceptron/PerceptronModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[PerceptronModel](/api/python/reference/autosummary/python/sparknlp/annotator/pos/perceptron/index.html#sparknlp.annotator.pos.perceptron.PerceptronModel)
+[PerceptronModel](/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html#sparknlp.annotator.pos.perceptron.PerceptronModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -139,7 +139,7 @@ Sets a POS tag to each word within a sentence.
 For pretrained models please see the PerceptronModel.
 
 The training data needs to be in a Spark DataFrame, where the column needs to consist of
-[Annotations](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Annotation) of type `POS`. The `Annotation` needs to have member `result`
+[Annotations](/api/com/johnsnowlabs/nlp/Annotation) of type `POS`. The `Annotation` needs to have member `result`
 set to the POS tag and have a `"word"` mapping to its word inside of member `metadata`.
 This DataFrame for training can easily created by the helper class [POS](/docs/en/training#pos-dataset).
 ```
@@ -266,11 +266,11 @@ result.selectExpr("pos.result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[PerceptronApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/pos/perceptron/PerceptronApproach)
+[PerceptronApproach](/api/com/johnsnowlabs/nlp/annotators/pos/perceptron/PerceptronApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[PerceptronApproach](/api/python/reference/autosummary/python/sparknlp/annotator/pos/perceptron/index.html#sparknlp.annotator.pos.perceptron.PerceptronApproach)
+[PerceptronApproach](/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html#sparknlp.annotator.pos.perceptron.PerceptronApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/RecursiveTokenizer.md b/docs/en/annotator_entries/RecursiveTokenizer.md
index 9fb44eec83bb80..3df457f7458588 100644
--- a/docs/en/annotator_entries/RecursiveTokenizer.md
+++ b/docs/en/annotator_entries/RecursiveTokenizer.md
@@ -16,11 +16,11 @@ TOKEN
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[RecursiveTokenizerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/RecursiveTokenizerModel)
+[RecursiveTokenizerModel](/api/com/johnsnowlabs/nlp/annotators/RecursiveTokenizerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[RecursiveTokenizerModel](/api/python/reference/autosummary/python/sparknlp/annotator/token/recursive_tokenizer/index.html#sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel)
+[RecursiveTokenizerModel](/api/python/reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.html#sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -111,11 +111,11 @@ result.select("token.result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[RecursiveTokenizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/RecursiveTokenizer)
+[RecursiveTokenizer](/api/com/johnsnowlabs/nlp/annotators/RecursiveTokenizer)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[RecursiveTokenizer](/api/python/reference/autosummary/python/sparknlp/annotator/token/recursive_tokenizer/index.html#sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer)
+[RecursiveTokenizer](/api/python/reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.html#sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/RegexMatcher.md b/docs/en/annotator_entries/RegexMatcher.md
index 0d0ed543e4b254..a33959a7d3b696 100644
--- a/docs/en/annotator_entries/RegexMatcher.md
+++ b/docs/en/annotator_entries/RegexMatcher.md
@@ -16,11 +16,11 @@ CHUNK
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[RegexMatcherModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/RegexMatcherModel)
+[RegexMatcherModel](/api/com/johnsnowlabs/nlp/annotators/RegexMatcherModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[RegexMatcherModel](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/regex_matcher/index.html#sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel)
+[RegexMatcherModel](/api/python/reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.html#sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -134,11 +134,11 @@ results.selectExpr("explode(regex) as result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[RegexMatcher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/RegexMatcher)
+[RegexMatcher](/api/com/johnsnowlabs/nlp/annotators/RegexMatcher)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[RegexMatcher](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/regex_matcher/index.html#sparknlp.annotator.matcher.regex_matcher.RegexMatcher)
+[RegexMatcher](/api/python/reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.html#sparknlp.annotator.matcher.regex_matcher.RegexMatcher)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/RegexTokenizer.md b/docs/en/annotator_entries/RegexTokenizer.md
index 4cbd01849228f0..6cc270523c6928 100644
--- a/docs/en/annotator_entries/RegexTokenizer.md
+++ b/docs/en/annotator_entries/RegexTokenizer.md
@@ -84,11 +84,11 @@ result.selectExpr("regexToken.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[RegexTokenizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/RegexTokenizer)
+[RegexTokenizer](/api/com/johnsnowlabs/nlp/annotators/RegexTokenizer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RegexTokenizer](/api/python/reference/autosummary/python/sparknlp/annotator/token/regex_tokenizer/index.html#sparknlp.annotator.token.regex_tokenizer.RegexTokenizer)
+[RegexTokenizer](/api/python/reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.html#sparknlp.annotator.token.regex_tokenizer.RegexTokenizer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/SentenceDetector.md b/docs/en/annotator_entries/SentenceDetector.md
index 1ab7655495254a..70845920345512 100644
--- a/docs/en/annotator_entries/SentenceDetector.md
+++ b/docs/en/annotator_entries/SentenceDetector.md
@@ -116,11 +116,11 @@ result.selectExpr("explode(sentence) as sentences").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[SentenceDetector](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sbd/pragmatic/SentenceDetector)
+[SentenceDetector](/api/com/johnsnowlabs/nlp/annotators/sbd/pragmatic/SentenceDetector)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[SentenceDetector](/api/python/reference/autosummary/python/sparknlp/annotator/sentence/sentence_detector/index.html#sparknlp.annotator.sentence.sentence_detector.SentenceDetector)
+[SentenceDetector](/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.html#sparknlp.annotator.sentence.sentence_detector.SentenceDetector)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/SentenceDetectorDL.md b/docs/en/annotator_entries/SentenceDetectorDL.md
index a3a748a9384a5f..d7bba5c736825e 100644
--- a/docs/en/annotator_entries/SentenceDetectorDL.md
+++ b/docs/en/annotator_entries/SentenceDetectorDL.md
@@ -142,11 +142,11 @@ result.selectExpr("explode(sentencesDL.result) as sentencesDL").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[SentenceDetectorDLModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sentence_detector_dl/SentenceDetectorDLModel)
+[SentenceDetectorDLModel](/api/com/johnsnowlabs/nlp/annotators/sentence_detector_dl/SentenceDetectorDLModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[SentenceDetectorDLModel](/api/python/reference/autosummary/python/sparknlp/annotator/sentence/sentence_detector_dl/index.html#sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel)
+[SentenceDetectorDLModel](/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html#sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -246,11 +246,11 @@ val model = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[SentenceDetectorDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sentence_detector_dl/SentenceDetectorDLApproach)
+[SentenceDetectorDLApproach](/api/com/johnsnowlabs/nlp/annotators/sentence_detector_dl/SentenceDetectorDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[SentenceDetectorDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/sentence/sentence_detector_dl/index.html#sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach)
+[SentenceDetectorDLApproach](/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html#sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/SentenceEmbeddings.md b/docs/en/annotator_entries/SentenceEmbeddings.md
index 0c165f8cb60548..ff6bf00f4666e8 100644
--- a/docs/en/annotator_entries/SentenceEmbeddings.md
+++ b/docs/en/annotator_entries/SentenceEmbeddings.md
@@ -164,11 +164,11 @@ result.selectExpr("explode(finished_embeddings) as result").show(5, 80)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[SentenceEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/SentenceEmbeddings)
+[SentenceEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/SentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[SentenceEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/sentence_embeddings/index.html#sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings)
+[SentenceEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.html#sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/SentimentDL.md b/docs/en/annotator_entries/SentimentDL.md
index 6edc7a06b32ff7..7d188128b65dd0 100644
--- a/docs/en/annotator_entries/SentimentDL.md
+++ b/docs/en/annotator_entries/SentimentDL.md
@@ -117,11 +117,11 @@ result.select("text", "sentiment.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[SentimentDLModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/SentimentDLModel)
+[SentimentDLModel](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/SentimentDLModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[SentimentDLModel](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/sentiment_dl/index.html#sparknlp.annotator.sentiment.sentiment_dl.SentimentDLModel)
+[SentimentDLModel](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.html#sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -279,11 +279,11 @@ val pipelineModel = pipeline.fit(smallCorpus)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[SentimentDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/SentimentDLApproach)
+[SentimentDLApproach](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/SentimentDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[SentimentDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/sentiment_dl/index.html#sparknlp.annotator.sentiment.sentiment_dl.SentimentDLApproach)
+[SentimentDLApproach](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.html#sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/SentimentDetector.md b/docs/en/annotator_entries/SentimentDetector.md
index 5fb51d4e6d5ea1..47a50d30b2f0fe 100644
--- a/docs/en/annotator_entries/SentimentDetector.md
+++ b/docs/en/annotator_entries/SentimentDetector.md
@@ -28,11 +28,11 @@ SENTIMENT
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[SentimentDetectorModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sda/pragmatic/SentimentDetectorModel)
+[SentimentDetectorModel](/api/com/johnsnowlabs/nlp/annotators/sda/pragmatic/SentimentDetectorModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[SentimentDetectorModel](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/sentiment_detector/index.html#sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel)
+[SentimentDetectorModel](/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.html#sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -181,11 +181,11 @@ result.selectExpr("sentimentScore.result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[SentimentDetector](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sda/pragmatic/SentimentDetector)
+[SentimentDetector](/api/com/johnsnowlabs/nlp/annotators/sda/pragmatic/SentimentDetector)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[SentimentDetector](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/sentiment_detector/index.html#sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector)
+[SentimentDetector](/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.html#sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Stemmer.md b/docs/en/annotator_entries/Stemmer.md
index 1e5001f2c6844d..a96c4906c2eaa5 100644
--- a/docs/en/annotator_entries/Stemmer.md
+++ b/docs/en/annotator_entries/Stemmer.md
@@ -90,11 +90,11 @@ result.selectExpr("stem.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Stemmer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Stemmer)
+[Stemmer](/api/com/johnsnowlabs/nlp/annotators/Stemmer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Stemmer](/api/python/reference/autosummary/python/sparknlp/annotator/stemmer/index.html#sparknlp.annotator.stemmer.Stemmer)
+[Stemmer](/api/python/reference/autosummary/sparknlp/annotator/stemmer/index.html#sparknlp.annotator.stemmer.Stemmer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/StopWordsCleaner.md b/docs/en/annotator_entries/StopWordsCleaner.md
index 7838289e3b43c2..49f936f2fe88ad 100644
--- a/docs/en/annotator_entries/StopWordsCleaner.md
+++ b/docs/en/annotator_entries/StopWordsCleaner.md
@@ -172,11 +172,11 @@ result.selectExpr("cleanTokens.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[StopWordsCleaner](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/StopWordsCleaner)
+[StopWordsCleaner](/api/com/johnsnowlabs/nlp/annotators/StopWordsCleaner)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[StopWordsCleaner](/api/python/reference/autosummary/python/sparknlp/annotator/stop_words_cleaner/index.html#sparknlp.annotator.stop_words_cleaner.StopWordsCleaner)
+[StopWordsCleaner](/api/python/reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.html#sparknlp.annotator.stop_words_cleaner.StopWordsCleaner)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/SymmetricDelete.md b/docs/en/annotator_entries/SymmetricDelete.md
index 4695b583f4db9c..2eb9eb269e21d8 100644
--- a/docs/en/annotator_entries/SymmetricDelete.md
+++ b/docs/en/annotator_entries/SymmetricDelete.md
@@ -103,11 +103,11 @@ result.select("spell.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[SymmetricDeleteModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteModel)
+[SymmetricDeleteModel](/api/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[SymmetricDeleteModel](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/symmetric_delete/index.html#sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel)
+[SymmetricDeleteModel](/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html#sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -214,11 +214,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[SymmetricDeleteApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteApproach)
+[SymmetricDeleteApproach](/api/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[SymmetricDeleteApproach](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/symmetric_delete/index.html#sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach)
+[SymmetricDeleteApproach](/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html#sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/TextMatcher.md b/docs/en/annotator_entries/TextMatcher.md
index 660847ef97a7bc..a03673dfbd174f 100644
--- a/docs/en/annotator_entries/TextMatcher.md
+++ b/docs/en/annotator_entries/TextMatcher.md
@@ -16,11 +16,11 @@ CHUNK
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[TextMatcherModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/TextMatcherModel)
+[TextMatcherModel](/api/com/johnsnowlabs/nlp/annotators/TextMatcherModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[TextMatcherModel](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/text_matcher/index.html#sparknlp.annotator.matcher.text_matcher.TextMatcherModel)
+[TextMatcherModel](/api/python/reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.html#sparknlp.annotator.matcher.text_matcher.TextMatcherModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -137,11 +137,11 @@ results.selectExpr("explode(entity) as result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[TextMatcher](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/TextMatcher)
+[TextMatcher](/api/com/johnsnowlabs/nlp/annotators/TextMatcher)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[TextMatcher](/api/python/reference/autosummary/python/sparknlp/annotator/matcher/text_matcher/index.html#sparknlp.annotator.matcher.text_matcher.TextMatcher)
+[TextMatcher](/api/python/reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.html#sparknlp.annotator.matcher.text_matcher.TextMatcher)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Token2Chunk.md b/docs/en/annotator_entries/Token2Chunk.md
index 99b9e1132d2b6a..7f5f779eac179a 100644
--- a/docs/en/annotator_entries/Token2Chunk.md
+++ b/docs/en/annotator_entries/Token2Chunk.md
@@ -97,11 +97,11 @@ result.selectExpr("explode(chunk) as result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Token2Chunk](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Token2Chunk)
+[Token2Chunk](/api/com/johnsnowlabs/nlp/annotators/Token2Chunk)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Token2Chunk](/api/python/reference/autosummary/python/sparknlp/annotator/token/token2_chunk/index.html#sparknlp.annotator.token.token2_chunk.Token2Chunk)
+[Token2Chunk](/api/python/reference/autosummary/sparknlp/annotator/token/token2_chunk/index.html#sparknlp.annotator.token.token2_chunk.Token2Chunk)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/TokenAssembler.md b/docs/en/annotator_entries/TokenAssembler.md
index 13def74f0b968b..e545f16214a407 100644
--- a/docs/en/annotator_entries/TokenAssembler.md
+++ b/docs/en/annotator_entries/TokenAssembler.md
@@ -135,11 +135,11 @@ result.select("cleanText").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[TokenAssembler](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/TokenAssembler)
+[TokenAssembler](/api/com/johnsnowlabs/nlp/TokenAssembler)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[TokenAssembler](/api/python/reference/autosummary/python/sparknlp/base/token_assembler/index.html#sparknlp.base.token_assembler.TokenAssembler)
+[TokenAssembler](/api/python/reference/autosummary/sparknlp/base/token_assembler/index.html#sparknlp.base.token_assembler.TokenAssembler)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/annotator_entries/Tokenizer.md b/docs/en/annotator_entries/Tokenizer.md
index bf1e285126b659..dec4b1ee485a3d 100644
--- a/docs/en/annotator_entries/Tokenizer.md
+++ b/docs/en/annotator_entries/Tokenizer.md
@@ -19,11 +19,11 @@ TOKEN
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[TokenizerModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/TokenizerModel)
+[TokenizerModel](/api/com/johnsnowlabs/nlp/annotators/TokenizerModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[TokenizerModel](/api/python/reference/autosummary/python/sparknlp/annotator/token/tokenizer/index.html#sparknlp.annotator.token.tokenizer.TokenizerModel)
+[TokenizerModel](/api/python/reference/autosummary/sparknlp/annotator/token/tokenizer/index.html#sparknlp.annotator.token.tokenizer.TokenizerModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -95,11 +95,11 @@ result.selectExpr("token.result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[Tokenizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Tokenizer)
+[Tokenizer](/api/com/johnsnowlabs/nlp/annotators/Tokenizer)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[Tokenizer](/api/python/reference/autosummary/python/sparknlp/annotator/token/tokenizer/index.html#sparknlp.annotator.token.tokenizer.Tokenizer)
+[Tokenizer](/api/python/reference/autosummary/sparknlp/annotator/token/tokenizer/index.html#sparknlp.annotator.token.tokenizer.Tokenizer)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/TypedDependencyParser.md b/docs/en/annotator_entries/TypedDependencyParser.md
index 6a6d89aafb7f0a..f88b83484920a7 100644
--- a/docs/en/annotator_entries/TypedDependencyParser.md
+++ b/docs/en/annotator_entries/TypedDependencyParser.md
@@ -164,11 +164,11 @@ result.selectExpr("explode(arrays_zip(token.result, dependency.result, dependenc
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[TypedDependencyParserModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/parser/typdep/TypedDependencyParserModel)
+[TypedDependencyParserModel](/api/com/johnsnowlabs/nlp/annotators/parser/typdep/TypedDependencyParserModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[TypedDependencyParserModel](/api/python/reference/autosummary/python/sparknlp/annotator/dependency/typed_dependency_parser/index.html#sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel)
+[TypedDependencyParserModel](/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html#sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -302,11 +302,11 @@ val pipelineModel = pipeline.fit(emptyDataSet)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[TypedDependencyParserApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/parser/typdep/TypedDependencyParserApproach)
+[TypedDependencyParserApproach](/api/com/johnsnowlabs/nlp/annotators/parser/typdep/TypedDependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[TypedDependencyParserApproach](/api/python/reference/autosummary/python/sparknlp/annotator/dependency/typed_dependency_parser/index.html#sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach)
+[TypedDependencyParserApproach](/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html#sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/ViveknSentiment.md b/docs/en/annotator_entries/ViveknSentiment.md
index c99c463a947ed6..bf144fe740b9ba 100644
--- a/docs/en/annotator_entries/ViveknSentiment.md
+++ b/docs/en/annotator_entries/ViveknSentiment.md
@@ -27,11 +27,11 @@ SENTIMENT
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[ViveknSentimentModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sda/vivekn/ViveknSentimentModel)
+[ViveknSentimentModel](/api/com/johnsnowlabs/nlp/annotators/sda/vivekn/ViveknSentimentModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[ViveknSentimentModel](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/vivekn_sentiment/index.html#sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel)
+[ViveknSentimentModel](/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html#sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -175,11 +175,11 @@ result.select("final_sentiment").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[ViveknSentimentApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sda/vivekn/ViveknSentimentApproach)
+[ViveknSentimentApproach](/api/com/johnsnowlabs/nlp/annotators/sda/vivekn/ViveknSentimentApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[ViveknSentimentApproach](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/vivekn_sentiment/index.html#sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach)
+[ViveknSentimentApproach](/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html#sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Word2Vec.md b/docs/en/annotator_entries/Word2Vec.md
index a55c8248c3de7b..54411cefb44caf 100644
--- a/docs/en/annotator_entries/Word2Vec.md
+++ b/docs/en/annotator_entries/Word2Vec.md
@@ -126,11 +126,11 @@ result.selectExpr("explode(finished_embeddings) as result").show(1, 80)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[Word2VecModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/Word2VecModel)
+[Word2VecModel](/api/com/johnsnowlabs/nlp/embeddings/Word2VecModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[Word2VecModel](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/word2vec/index.html#sparknlp.annotator.embeddings.word2vec.Word2VecModel)
+[Word2VecModel](/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html#sparknlp.annotator.embeddings.word2vec.Word2VecModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -230,11 +230,11 @@ val pipelineModel = pipeline.fit(dataset)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[Word2VecApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/Word2VecApproach)
+[Word2VecApproach](/api/com/johnsnowlabs/nlp/embeddings/Word2VecApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[Word2VecApproach](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/word2vec/index.html#sparknlp.annotator.embeddings.word2vec.Word2VecApproach)
+[Word2VecApproach](/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html#sparknlp.annotator.embeddings.word2vec.Word2VecApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/WordEmbeddings.md b/docs/en/annotator_entries/WordEmbeddings.md
index 75bee635476810..f4cb424e99af0e 100644
--- a/docs/en/annotator_entries/WordEmbeddings.md
+++ b/docs/en/annotator_entries/WordEmbeddings.md
@@ -148,11 +148,11 @@ result.selectExpr("explode(finished_embeddings) as result").show(5, 80)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[WordEmbeddingsModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/WordEmbeddingsModel)
+[WordEmbeddingsModel](/api/com/johnsnowlabs/nlp/embeddings/WordEmbeddingsModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[WordEmbeddingsModel](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/word_embeddings/index.html#sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel)
+[WordEmbeddingsModel](/api/python/reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.html#sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -302,11 +302,11 @@ result.selectExpr("explode(finished_embeddings) as result").show(false)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[WordEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/WordEmbeddings)
+[WordEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/WordEmbeddings)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[WordEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/word_embeddings/index.html#sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings)
+[WordEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.html#sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/WordSegmenter.md b/docs/en/annotator_entries/WordSegmenter.md
index 34c974c58f9b47..2a5a4f2147503b 100644
--- a/docs/en/annotator_entries/WordSegmenter.md
+++ b/docs/en/annotator_entries/WordSegmenter.md
@@ -96,11 +96,11 @@ result.select("token.result").show(false)
 {%- endcapture -%}
 
 {%- capture model_api_link -%}
-[WordSegmenterModel](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ws/WordSegmenterModel)
+[WordSegmenterModel](/api/com/johnsnowlabs/nlp/annotators/ws/WordSegmenterModel)
 {%- endcapture -%}
 
 {%- capture model_python_api_link -%}
-[WordSegmenterModel](/api/python/reference/autosummary/python/sparknlp/annotator/ws/word_segmenter/index.html#sparknlp.annotator.ws.word_segmenter.WordSegmenterModel)
+[WordSegmenterModel](/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html#sparknlp.annotator.ws.word_segmenter.WordSegmenterModel)
 {%- endcapture -%}
 
 {%- capture model_source_link -%}
@@ -118,7 +118,7 @@ For instantiated/pretrained models, see WordSegmenterModel.
 
 To train your own model, a training dataset consisting of
 [Part-Of-Speech tags](https://en.wikipedia.org/wiki/Part-of-speech_tagging) is required. The data has to be loaded
-into a dataframe, where the column is an [Annotation](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Annotation) of type `"POS"`. This can be
+into a dataframe, where the column is an [Annotation](/api/com/johnsnowlabs/nlp/Annotation) of type `"POS"`. This can be
 set with `setPosColumn`.
 
 **Tip**: The helper class [POS](/docs/en/training#pos-dataset) might be useful to read training data into data frames.
@@ -209,11 +209,11 @@ val pipelineModel = pipeline.fit(trainingDataSet)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[WordSegmenterApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ws/WordSegmenterApproach)
+[WordSegmenterApproach](/api/com/johnsnowlabs/nlp/annotators/ws/WordSegmenterApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[WordSegmenterApproach](/api/python/reference/autosummary/python/sparknlp/annotator/ws/word_segmenter/index.html#sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach)
+[WordSegmenterApproach](/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html#sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/annotator_entries/Yake.md b/docs/en/annotator_entries/Yake.md
index 9cf3e462913d9a..3cb01b06eeab8e 100644
--- a/docs/en/annotator_entries/Yake.md
+++ b/docs/en/annotator_entries/Yake.md
@@ -163,11 +163,11 @@ scores.orderBy("score").show(5, truncate = false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[YakeKeywordExtraction](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/keyword/yake/YakeKeywordExtraction)
+[YakeKeywordExtraction](/api/com/johnsnowlabs/nlp/annotators/keyword/yake/YakeKeywordExtraction)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[YakeKeywordExtraction](/api/python/reference/autosummary/python/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.html#sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction)
+[YakeKeywordExtraction](/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.html#sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/licensed_install.md b/docs/en/licensed_install.md
index 949433dc9cf69e..82ecec361dd3c4 100644
--- a/docs/en/licensed_install.md
+++ b/docs/en/licensed_install.md
@@ -250,35 +250,44 @@ unmanagedJars in Compile += file("lib/sparknlp-jsl.jar")
 ## Install on Databricks
 
 - List of [tested runtimes](/docs/en/install#databricks-support).
-- Recommended instance type `Standard_F8s_v2 (16 GB Memory, 8 Cores)` or better.
-
+- Recommended instance type `Standard_F8s_v2 (16 GB Memory, 8 Cores)` or higher.
+- The installation takes around 15 minutes.
 
 ### Connection via Databricks Partner connect
 
-Databricks has an integration of Spark NLP libraries via Partner connect. If you are [eligible](https://docs.databricks.com/integrations/partner-connect/index.html?#requirements-1), you can [connect](https://docs.databricks.com/integrations/partner-connect/index.html?#quickstart-connect-to-a-partner-solution-using-partner-connect) your Databricks workspace to John Snow Labs. You will be redirected to John Snow Labs portal. You can purchase a license, thereby filling in your credit card information. It will create a new Databricks cluster, and the license files are then directly installed there. 
+Databricks has an integration of Spark NLP libraries via Partner Connect. If you are [eligible](https://docs.databricks.com/integrations/partner-connect/index.html?#requirements-1), you can [connect](https://docs.databricks.com/integrations/partner-connect/index.html?#quickstart-connect-to-a-partner-solution-using-partner-connect) your Databricks workspace to John Snow Labs. The Partner Connect wizard  will redirect you to John Snow Labs portal. After you fill-in/validate your information a 30-day trial license will be automatically generated for you. A new Databricks cluster will also be created, and all necessary resources to run the library on your account will be installed on your new cluster. Furthermore, a set of ready to use notebooks will be copied to your workspace, so you can start experimenting on your data right away. The trial license file will also be deployed to your environment and made available to your cluster.  
 
-There is a 30-days free trial licensing period. You can use the trial period only once. After the trial period, we will contact you with a licensing offer.  
+The trial period is 30 days. You can use the trial period only once. After the trial period, we will contact you with a licensing offer.  
 
 - Start exploring preloaded notebooks `Workspace -> Shared -> John Snow Labs`
 
-### Automatic deployment of John Snow Labs NLP libraries
+
+### Automatic deployment of John Snow Labs NLP libraries from [www.johnsnowlabs.com/databricks](https://www.johnsnowlabs.com/databricks/)
 
 Alternatively, you can automatically deploy John Snow Labs libraries on Databricks by filling in the form available [here](https://www.johnsnowlabs.com/databricks/). This will allow you to start a 30-day free trial with no limit on the amount of processed data. You just need to provide a Databricks Access Token that is used by our deployment script to connect to your Databricks instance and install John Snow Labs NLP libraries on a cluster of your choice.
 
 - Start exploring preloaded notebooks `Workspace -> Shared -> John Snow Labs`
 
-### Automatic deployment via my.JohnSnowLabs.com 
+### Automatic deployment via [my.JohnSnowLabs.com](https://my.JohnSnowLabs.com)
 
 Login to your account on my.JohnSnowLabs.com, navigate to 'My Subscriptions' page, and identify your license for Databricks. Click on the three dots as illustrated in the image below, then select the `Install On Cluster` option.
 
 <img class="image image--xl" src="/assets/images/myJSLdeployment.png" style="width:100%; align:center; box-shadow: 0 3px 6px rgba(0,0,0,0.16), 0 3px 6px rgba(0,0,0,0.23);"/>
 
-On the install form, provide an access token for this account and then select the cluster where you want to install the libraries. The installation takes around 15 minutes. Once it is done, you will get an email with information on the status of your deployment and on how to get started with the libraries. 
+On the install form, provide an access token for this account and then select the cluster where you want to install the libraries. Once it is done, you will get an email with information on the status of your deployment and on how to get started with the libraries. 
 
 <img class="image image--xl" src="/assets/images/install_form.png" style="width:100%; align:center; box-shadow: 0 3px 6px rgba(0,0,0,0.16), 0 3px 6px rgba(0,0,0,0.23);"/>
+
+### Automatic deployment or upgrade from the Databricks workspace
+
+If you have already deployed the libraries in the past, you have a script `Workspace -> Shared -> John Snow Labs -> Install JohnSnowLabs NLP`. If you attach it to any cluster and run it, it will reinstall the libraries on the respective cluster. 
+
+- This is also the recommended way to upgrade to the latest versions of the libraries.
+
 ### Manual deployment of Enterprise Spark NLP
+Automatic deployment is the preferred option.
 
-1. Create a cluster if you don't have one already
+1. Create a cluster with one of the [supported runtimes](/docs/en/install#databricks-support) if you don't have one already.
 2. On a new cluster or existing one you need to add the following to the `Advanced Options -> Spark` tab, in `Spark.Config` box:
 
     ```bash
@@ -291,9 +300,8 @@ On the install form, provide an access token for this account and then select th
     AWS_ACCESS_KEY_ID=xxx
     AWS_SECRET_ACCESS_KEY=yyy
     SPARK_NLP_LICENSE=zzz
-    SPARK_OCR_LICENSE=aaa
     ```
-Note: Enterprise Spark NLP also support reading the license from the Databricks DFS, on the fixed location, dbfs:/FileStore/johnsnowlabs/license.key. 
+Note: Enterprise Spark NLP also support reading the license from the Databricks DFS, on the fixed location, `dbfs:/FileStore/johnsnowlabs/license.key`.
 The precedence for that location is the highest, so make sure that file is not containing any outdated license key.
 
       -   (OPTIONAL) If the environment variables used to setup the AWS Access/Secret keys are conflicting with the credential provider chain in Databricks, you may not be able to access to other s3 buckets. To access both JSL repos with JSL AWS keys as well as your own s3 bucket with your own AWS keys), you need to use the following script, copy that to dbfs folder, then go to the Databricks console (init scripts menu) to add the init script for your cluster as follows:
@@ -319,11 +327,13 @@ The precedence for that location is the highest, so make sure that file is not c
     ```
 
 3. In `Libraries` tab inside your cluster you need to follow these steps:
- - Install New -> PyPI -> `spark-nlp` -> Install
- - Install New -> Maven -> Coordinates -> `com.johnsnowlabs.nlp:spark-nlp_2.12:${version}` -> Install
+ - [Lookup](https://nlp.johnsnowlabs.com/docs/en/licensed_version_compatibility) the version of Healhcare NLP vs. Spark NLP you will install.
+ - Install Spark NLP (Public): New -> PyPI -> `spark-nlp==${x.y.z_public_version}` -> Install
+ - Install: New -> Maven -> Coordinates -> `com.johnsnowlabs.nlp:spark-nlp_2.12:${x.y.z_public_version}` -> Install
  - Please add following jars:
-        - Install New -> Python Whl -> upload `https://pypi.johnsnowlabs.com/${secret.code}/spark-nlp-jsl/spark_nlp_jsl-${version}-py3-none-any.whl`
-        - Install New -> Jar -> upload `https://pypi.johnsnowlabs.com/${secret.code}/spark-nlp-jsl-${version}.jar`
+        - Install: New -> Python Whl -> upload `https://pypi.johnsnowlabs.com/${secret.code}/spark-nlp-jsl/spark_nlp_jsl-${x.y.z_healthcare_version}-py3-none-any.whl`
+        - Install: New -> Jar -> upload `https://pypi.johnsnowlabs.com/${secret.code}/spark-nlp-jsl-${x.y.z_healthcare_version}.jar`
+- (For Legal and Finance NLP) Install: New -> PyPI -> `johnsnowlabs-for-databricks==${x.y.z_healthcare_version}` -> Install
 4. Now you can attach your notebook to the cluster and use Spark NLP!
 
 ## Windows Support
diff --git a/docs/en/third-party-projects.md b/docs/en/third-party-projects.md
index f02204aa835cc9..7900cfc112730f 100644
--- a/docs/en/third-party-projects.md
+++ b/docs/en/third-party-projects.md
@@ -32,10 +32,10 @@ Comet can easily integrated into the Spark NLP workflow with the a dedicated
 logging class `CometLogger` to log training and evaluation metrics,
 pipeline parameters and NER visualization made with sparknlp-display.
 
-For more information see the [User Guide](https://nlp.johnsnowlabs.com/api/python/third_party/Comet.html) and for more examples see the [Spark NLP Workshop](https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/logging/Comet_SparkNLP_Intergration.ipynb).
+For more information see the [User Guide](/api/python/third_party/Comet.html) and for more examples see the [Spark NLP Workshop](https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/logging/Comet_SparkNLP_Intergration.ipynb).
 
 
-| **Python API:** [CometLogger](https://nlp.johnsnowlabs.com/api/python/reference/autosummary/sparknlp.logging.comet.CometLogger.html) |
+| **Python API:** [CometLogger](/api/python/reference/autosummary/sparknlp/logging/comet/index.html#sparknlp.logging.comet.CometLogger) |
 
 <details>
 
diff --git a/docs/en/training_entries/AlbertForTokenClassification.md b/docs/en/training_entries/AlbertForTokenClassification.md
index 749aef33970709..8cd413def4389b 100644
--- a/docs/en/training_entries/AlbertForTokenClassification.md
+++ b/docs/en/training_entries/AlbertForTokenClassification.md
@@ -161,11 +161,11 @@ result.select("ner.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[AlbertForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/AlbertForTokenClassification)
+[AlbertForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/AlbertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[AlbertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification)
+[AlbertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/BertForSequenceClassification.md b/docs/en/training_entries/BertForSequenceClassification.md
index b7ecc1461d4554..3ecb66bb593432 100644
--- a/docs/en/training_entries/BertForSequenceClassification.md
+++ b/docs/en/training_entries/BertForSequenceClassification.md
@@ -157,11 +157,11 @@ result.select("ner.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[BertForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForSequenceClassification)
+[BertForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification)
+[BertForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/BertForTokenClassification.md b/docs/en/training_entries/BertForTokenClassification.md
index cc8b0a004b60d5..40230d70fab844 100644
--- a/docs/en/training_entries/BertForTokenClassification.md
+++ b/docs/en/training_entries/BertForTokenClassification.md
@@ -153,11 +153,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[BertForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForTokenClassification)
+[BertForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification)
+[BertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/ClassifierDLApproach.md b/docs/en/training_entries/ClassifierDLApproach.md
index 0da104bdf3030e..eea68010b5b052 100644
--- a/docs/en/training_entries/ClassifierDLApproach.md
+++ b/docs/en/training_entries/ClassifierDLApproach.md
@@ -117,11 +117,11 @@ val pipelineModel = pipeline.fit(smallCorpus)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[ClassifierDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLApproach)
+[ClassifierDLApproach](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ClassifierDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/classifier_dl/index.html#sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach)
+[ClassifierDLApproach](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html#sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/ContextSpellCheckerApproach.md b/docs/en/training_entries/ContextSpellCheckerApproach.md
index 14ffa11f53ee66..a13d642cbf894b 100644
--- a/docs/en/training_entries/ContextSpellCheckerApproach.md
+++ b/docs/en/training_entries/ContextSpellCheckerApproach.md
@@ -107,11 +107,11 @@ val pipelineModel = pipeline.fit(dataset)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[ContextSpellCheckerApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/context/ContextSpellCheckerApproach)
+[ContextSpellCheckerApproach](/api/com/johnsnowlabs/nlp/annotators/spell/context/ContextSpellCheckerApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ContextSpellCheckerApproach](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/context_spell_checker/index.html#sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach)
+[ContextSpellCheckerApproach](/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html#sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/DependencyParserApproach.md b/docs/en/training_entries/DependencyParserApproach.md
index 157fe45635edac..f031d758f4fbcf 100644
--- a/docs/en/training_entries/DependencyParserApproach.md
+++ b/docs/en/training_entries/DependencyParserApproach.md
@@ -130,11 +130,11 @@ val pipelineModel = pipeline.fit(emptyDataSet)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DependencyParserApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/parser/dep/DependencyParserApproach)
+[DependencyParserApproach](/api/com/johnsnowlabs/nlp/annotators/parser/dep/DependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DependencyParserApproach](/api/python/reference/autosummary/python/sparknlp/annotator/dependency/dependency_parser/index.html#sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach)
+[DependencyParserApproach](/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html#sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/DistilBertForSequenceClassification.md b/docs/en/training_entries/DistilBertForSequenceClassification.md
index 270a086cba2463..7b0eb86ea13ae2 100644
--- a/docs/en/training_entries/DistilBertForSequenceClassification.md
+++ b/docs/en/training_entries/DistilBertForSequenceClassification.md
@@ -156,11 +156,11 @@ result.select("ner.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DistilBertForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForSequenceClassification)
+[DistilBertForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DistilBertForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification)
+[DistilBertForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/DistilBertForTokenClassification.md b/docs/en/training_entries/DistilBertForTokenClassification.md
index bdbc328c9979e5..b823bfa038582e 100644
--- a/docs/en/training_entries/DistilBertForTokenClassification.md
+++ b/docs/en/training_entries/DistilBertForTokenClassification.md
@@ -157,11 +157,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DistilBertForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForTokenClassification)
+[DistilBertForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DistilBertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification)
+[DistilBertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/Doc2VecApproach.md b/docs/en/training_entries/Doc2VecApproach.md
index 8e7e08e3221e3f..4a3a4f7dcea49f 100644
--- a/docs/en/training_entries/Doc2VecApproach.md
+++ b/docs/en/training_entries/Doc2VecApproach.md
@@ -96,11 +96,11 @@ val pipelineModel = pipeline.fit(dataset)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Doc2VecApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/Doc2VecApproach)
+[Doc2VecApproach](/api/com/johnsnowlabs/nlp/embeddings/Doc2VecApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Doc2VecApproach](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/doc2vec/index.html#sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach)
+[Doc2VecApproach](/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html#sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/Lemmatizer.md b/docs/en/training_entries/Lemmatizer.md
index 8628696ba892c0..ff208f0389f665 100644
--- a/docs/en/training_entries/Lemmatizer.md
+++ b/docs/en/training_entries/Lemmatizer.md
@@ -132,11 +132,11 @@ result.selectExpr("lemma.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Lemmatizer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/Lemmatizer)
+[Lemmatizer](/api/com/johnsnowlabs/nlp/annotators/Lemmatizer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Lemmatizer](/api/python/reference/autosummary/python/sparknlp/annotator/lemmatizer/index.html#sparknlp.annotator.lemmatizer.Lemmatizer)
+[Lemmatizer](/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html#sparknlp.annotator.lemmatizer.Lemmatizer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/MultiClassifierDLApproach.md b/docs/en/training_entries/MultiClassifierDLApproach.md
index 26e74881f80eb3..6d185c05c50b66 100644
--- a/docs/en/training_entries/MultiClassifierDLApproach.md
+++ b/docs/en/training_entries/MultiClassifierDLApproach.md
@@ -163,11 +163,11 @@ val pipelineModel = pipeline.fit(smallCorpus)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[MultiClassifierDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLApproach)
+[MultiClassifierDLApproach](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[MultiClassifierDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html#sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach)
+[MultiClassifierDLApproach](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html#sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/NerCrfApproach.md b/docs/en/training_entries/NerCrfApproach.md
index 404584e10bb324..8f8bb3a5044072 100644
--- a/docs/en/training_entries/NerCrfApproach.md
+++ b/docs/en/training_entries/NerCrfApproach.md
@@ -138,11 +138,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[NerCrfApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/crf/NerCrfApproach)
+[NerCrfApproach](/api/com/johnsnowlabs/nlp/annotators/ner/crf/NerCrfApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[NerCrfApproach](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_crf/index.html#sparknlp.annotator.ner.ner_crf.NerCrfApproach)
+[NerCrfApproach](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html#sparknlp.annotator.ner.ner_crf.NerCrfApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/NerDLApproach.md b/docs/en/training_entries/NerDLApproach.md
index ee37d3c9bc732c..b583078d8a575c 100644
--- a/docs/en/training_entries/NerDLApproach.md
+++ b/docs/en/training_entries/NerDLApproach.md
@@ -127,11 +127,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[NerDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLApproach)
+[NerDLApproach](/api/com/johnsnowlabs/nlp/annotators/ner/dl/NerDLApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[NerDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/ner/ner_dl/index.html#sparknlp.annotator.ner.ner_dl.NerDLApproach)
+[NerDLApproach](/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html#sparknlp.annotator.ner.ner_dl.NerDLApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/NorvigSweeting.md b/docs/en/training_entries/NorvigSweeting.md
index d3d55651bd0af2..9513551a81958e 100644
--- a/docs/en/training_entries/NorvigSweeting.md
+++ b/docs/en/training_entries/NorvigSweeting.md
@@ -96,11 +96,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[NorvigSweetingApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingApproach)
+[NorvigSweetingApproach](/api/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[NorvigSweetingApproach](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/norvig_sweeting/index.html#sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach)
+[NorvigSweetingApproach](/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html#sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/PerceptronApproach.md b/docs/en/training_entries/PerceptronApproach.md
index b43fd2e0b2cbae..29cccf34e570e4 100644
--- a/docs/en/training_entries/PerceptronApproach.md
+++ b/docs/en/training_entries/PerceptronApproach.md
@@ -7,7 +7,7 @@ Trains an averaged Perceptron model to tag words part-of-speech.
 Sets a POS tag to each word within a sentence.
 
 The training data needs to be in a Spark DataFrame, where the column needs to consist of
-[Annotations](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Annotation) of type `POS`. The `Annotation` needs to have member `result`
+[Annotations](/api/com/johnsnowlabs/nlp/Annotation) of type `POS`. The `Annotation` needs to have member `result`
 set to the POS tag and have a `"word"` mapping to its word inside of member `metadata`.
 This DataFrame for training can easily created by the helper class [POS](#pos-dataset).
 
@@ -135,11 +135,11 @@ result.selectExpr("pos.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[PerceptronApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/pos/perceptron/PerceptronApproach)
+[PerceptronApproach](/api/com/johnsnowlabs/nlp/annotators/pos/perceptron/PerceptronApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[PerceptronApproach](/api/python/reference/autosummary/python/sparknlp/annotator/pos/perceptron/index.html#sparknlp.annotator.pos.perceptron.PerceptronApproach)
+[PerceptronApproach](/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html#sparknlp.annotator.pos.perceptron.PerceptronApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/RoBertaForTokenClassification.md b/docs/en/training_entries/RoBertaForTokenClassification.md
index 5de718d4b1e440..658edf31257822 100644
--- a/docs/en/training_entries/RoBertaForTokenClassification.md
+++ b/docs/en/training_entries/RoBertaForTokenClassification.md
@@ -168,11 +168,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[RoBertaForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/RoBertaForTokenClassification)
+[RoBertaForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/RoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RoBertaForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification)
+[RoBertaForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/SentenceDetectorDLApproach.md b/docs/en/training_entries/SentenceDetectorDLApproach.md
index 2734e13833e0de..adf176706ea703 100644
--- a/docs/en/training_entries/SentenceDetectorDLApproach.md
+++ b/docs/en/training_entries/SentenceDetectorDLApproach.md
@@ -96,11 +96,11 @@ val model = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[SentenceDetectorDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sentence_detector_dl/SentenceDetectorDLApproach)
+[SentenceDetectorDLApproach](/api/com/johnsnowlabs/nlp/annotators/sentence_detector_dl/SentenceDetectorDLApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[SentenceDetectorDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/sentence/sentence_detector_dl/index.html#sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach)
+[SentenceDetectorDLApproach](/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html#sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/SentimentDLApproach.md b/docs/en/training_entries/SentimentDLApproach.md
index b7ce26dd812c79..af6106c14ff5f7 100644
--- a/docs/en/training_entries/SentimentDLApproach.md
+++ b/docs/en/training_entries/SentimentDLApproach.md
@@ -120,11 +120,11 @@ val pipelineModel = pipeline.fit(smallCorpus)
 {%- endcapture -%}
 
 {%- capture approach_api_link -%}
-[SentimentDLApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/SentimentDLApproach)
+[SentimentDLApproach](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/SentimentDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_python_api_link -%}
-[SentimentDLApproach](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/sentiment_dl/index.html#sparknlp.annotator.sentiment.sentiment_dl.SentimentDLApproach)
+[SentimentDLApproach](/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_dl/index.html#sparknlp.annotator.sentiment.sentiment_dl.SentimentDLApproach)
 {%- endcapture -%}
 
 {%- capture approach_source_link -%}
diff --git a/docs/en/training_entries/SymmetricDelete.md b/docs/en/training_entries/SymmetricDelete.md
index 6b3ff05b71df34..28891f7136f398 100644
--- a/docs/en/training_entries/SymmetricDelete.md
+++ b/docs/en/training_entries/SymmetricDelete.md
@@ -96,11 +96,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[SymmetricDeleteApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteApproach)
+[SymmetricDeleteApproach](/api/com/johnsnowlabs/nlp/annotators/spell/symmetric/SymmetricDeleteApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[SymmetricDeleteApproach](/api/python/reference/autosummary/python/sparknlp/annotator/spell_check/symmetric_delete/index.html#sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach)
+[SymmetricDeleteApproach](/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html#sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/TypedDependencyParser.md b/docs/en/training_entries/TypedDependencyParser.md
index 4a404c2b9e3db7..6b1e224ff574ea 100644
--- a/docs/en/training_entries/TypedDependencyParser.md
+++ b/docs/en/training_entries/TypedDependencyParser.md
@@ -142,11 +142,11 @@ val pipelineModel = pipeline.fit(emptyDataSet)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[TypedDependencyParserApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/parser/typdep/TypedDependencyParserApproach)
+[TypedDependencyParserApproach](/api/com/johnsnowlabs/nlp/annotators/parser/typdep/TypedDependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[TypedDependencyParserApproach](/api/python/reference/autosummary/python/sparknlp/annotator/dependency/typed_dependency_parser/index.html#sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach)
+[TypedDependencyParserApproach](/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html#sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/ViveknSentimentApproach.md b/docs/en/training_entries/ViveknSentimentApproach.md
index 2ed6719e8becc2..f73c7f2b8e16c6 100644
--- a/docs/en/training_entries/ViveknSentimentApproach.md
+++ b/docs/en/training_entries/ViveknSentimentApproach.md
@@ -138,11 +138,11 @@ result.select("final_sentiment").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[ViveknSentimentApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/sda/vivekn/ViveknSentimentApproach)
+[ViveknSentimentApproach](/api/com/johnsnowlabs/nlp/annotators/sda/vivekn/ViveknSentimentApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ViveknSentimentApproach](/api/python/reference/autosummary/python/sparknlp/annotator/sentiment/vivekn_sentiment/index.html#sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach)
+[ViveknSentimentApproach](/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html#sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/Word2VecApproach.md b/docs/en/training_entries/Word2VecApproach.md
index c3d6e44b6c1c3c..079e12f9f236e1 100644
--- a/docs/en/training_entries/Word2VecApproach.md
+++ b/docs/en/training_entries/Word2VecApproach.md
@@ -95,11 +95,11 @@ val pipelineModel = pipeline.fit(dataset)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[Word2VecApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/Word2VecApproach)
+[Word2VecApproach](/api/com/johnsnowlabs/nlp/embeddings/Word2VecApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Word2VecApproach](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/word2vec/index.html#sparknlp.annotator.embeddings.word2vec.Word2VecApproach)
+[Word2VecApproach](/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html#sparknlp.annotator.embeddings.word2vec.Word2VecApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/WordSegmenterApproach.md b/docs/en/training_entries/WordSegmenterApproach.md
index 6b8617012e8a36..ad9b3a64741ddd 100644
--- a/docs/en/training_entries/WordSegmenterApproach.md
+++ b/docs/en/training_entries/WordSegmenterApproach.md
@@ -11,7 +11,7 @@ impossible. The WordSegmenter is trained to understand these languages and split
 
 To train your own model, a training dataset consisting of
 [Part-Of-Speech tags](https://en.wikipedia.org/wiki/Part-of-speech_tagging) is required. The data has to be loaded
-into a dataframe, where the column is an [Annotation](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/Annotation) of type `"POS"`. This can be
+into a dataframe, where the column is an [Annotation](/api/com/johnsnowlabs/nlp/Annotation) of type `"POS"`. This can be
 set with `setPosColumn`.
 
 **Tip**: The helper class [POS](#pos-dataset) might be useful to read training data into data frames.
@@ -101,11 +101,11 @@ val pipelineModel = pipeline.fit(trainingDataSet)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[WordSegmenterApproach](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/ws/WordSegmenterApproach)
+[WordSegmenterApproach](/api/com/johnsnowlabs/nlp/annotators/ws/WordSegmenterApproach)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[WordSegmenterApproach](/api/python/reference/autosummary/python/sparknlp/annotator/ws/word_segmenter/index.html#sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach)
+[WordSegmenterApproach](/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html#sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/XlmRoBertaForTokenClassification.md b/docs/en/training_entries/XlmRoBertaForTokenClassification.md
index 00493843987b92..915b2974fd3db0 100644
--- a/docs/en/training_entries/XlmRoBertaForTokenClassification.md
+++ b/docs/en/training_entries/XlmRoBertaForTokenClassification.md
@@ -162,11 +162,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlmRoBertaForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlmRoBertaForTokenClassification)
+[XlmRoBertaForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlmRoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlmRoBertaForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification)
+[XlmRoBertaForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/conll.md b/docs/en/training_entries/conll.md
index 78ea12fea96105..fe565af5e07ad2 100644
--- a/docs/en/training_entries/conll.md
+++ b/docs/en/training_entries/conll.md
@@ -78,7 +78,7 @@ trainingData.selectExpr("text", "token.result as tokens", "pos.result as pos", "
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[CoNLL](/api/python/reference/autosummary/python/sparknlp/training/conll/index.html#sparknlp.training.conll.CoNLL)
+[CoNLL](/api/python/reference/autosummary/sparknlp/training/conll/index.html#sparknlp.training.conll.CoNLL)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/conllu.md b/docs/en/training_entries/conllu.md
index 9241d9fa15351e..3d75074a5e8e44 100644
--- a/docs/en/training_entries/conllu.md
+++ b/docs/en/training_entries/conllu.md
@@ -66,7 +66,7 @@ conllDataSet.selectExpr("text", "form.result as form", "upos.result as upos", "x
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[CoNLLU](/api/python/reference/autosummary/python/sparknlp/training/conllu/index.html#sparknlp.training.conllu.CoNLLU)
+[CoNLLU](/api/python/reference/autosummary/sparknlp/training/conllu/index.html#sparknlp.training.conllu.CoNLLU)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/pos.md b/docs/en/training_entries/pos.md
index 961d2b9d4582a9..35d8f3cddb8d68 100644
--- a/docs/en/training_entries/pos.md
+++ b/docs/en/training_entries/pos.md
@@ -90,7 +90,7 @@ posDf.selectExpr("explode(tags) as tags").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[POS](/api/python/reference/autosummary/python/sparknlp/training/pos/index.html#sparknlp.training.pos.POS)
+[POS](/api/python/reference/autosummary/sparknlp/training/pos/index.html#sparknlp.training.pos.POS)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/training_entries/pubtator.md b/docs/en/training_entries/pubtator.md
index cb3c6312d6315a..6048e5b47725da 100644
--- a/docs/en/training_entries/pubtator.md
+++ b/docs/en/training_entries/pubtator.md
@@ -54,7 +54,7 @@ pubTatorDataSet.show(1)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[PubTator](/api/python/reference/autosummary/python/sparknlp/training/pub_tator/index.html#sparknlp.training.pub_tator.PubTator)
+[PubTator](/api/python/reference/autosummary/sparknlp/training/pub_tator/index.html#sparknlp.training.pub_tator.PubTator)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/AlbertEmbeddings.md b/docs/en/transformer_entries/AlbertEmbeddings.md
index 49ee3d1be74e74..f16e66d8fab9af 100644
--- a/docs/en/transformer_entries/AlbertEmbeddings.md
+++ b/docs/en/transformer_entries/AlbertEmbeddings.md
@@ -70,11 +70,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[AlbertEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/AlbertEmbeddings)
+[AlbertEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/AlbertEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[AlbertEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/albert_embeddings/index.html#sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings)
+[AlbertEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.html#sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/AlbertForQuestionAnswering.md b/docs/en/transformer_entries/AlbertForQuestionAnswering.md
index 1264cca0ae075b..1b2e1554f1e0ea 100644
--- a/docs/en/transformer_entries/AlbertForQuestionAnswering.md
+++ b/docs/en/transformer_entries/AlbertForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[AlbertForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.html#sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering)
+[AlbertForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.html#sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/AlbertForSequenceClassification.md b/docs/en/transformer_entries/AlbertForSequenceClassification.md
index f3ae8c7042e1dc..6e7bf9313b76c7 100644
--- a/docs/en/transformer_entries/AlbertForSequenceClassification.md
+++ b/docs/en/transformer_entries/AlbertForSequenceClassification.md
@@ -104,11 +104,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[AlbertForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/AlbertForSequenceClassification)
+[AlbertForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/AlbertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[AlbertForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification)
+[AlbertForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/AlbertForTokenClassification.md b/docs/en/transformer_entries/AlbertForTokenClassification.md
index 9a72dee8e1d898..455ae9e56ee9e9 100644
--- a/docs/en/transformer_entries/AlbertForTokenClassification.md
+++ b/docs/en/transformer_entries/AlbertForTokenClassification.md
@@ -123,11 +123,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[AlbertForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/AlbertForTokenClassification)
+[AlbertForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/AlbertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[AlbertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification)
+[AlbertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/BertEmbeddings.md b/docs/en/transformer_entries/BertEmbeddings.md
index 52690e99e01be6..603b17b006e7f3 100644
--- a/docs/en/transformer_entries/BertEmbeddings.md
+++ b/docs/en/transformer_entries/BertEmbeddings.md
@@ -48,11 +48,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[BertEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/BertEmbeddings)
+[BertEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/BertEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/bert_embeddings/index.html#sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings)
+[BertEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.html#sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/BertForQuestionAnswering.md b/docs/en/transformer_entries/BertForQuestionAnswering.md
index a6a7d3988b845c..165bccce4bde0e 100644
--- a/docs/en/transformer_entries/BertForQuestionAnswering.md
+++ b/docs/en/transformer_entries/BertForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.html#sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering)
+[BertForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.html#sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/BertForSequenceClassification.md b/docs/en/transformer_entries/BertForSequenceClassification.md
index 75b5f041d39917..dd62b7eed90883 100644
--- a/docs/en/transformer_entries/BertForSequenceClassification.md
+++ b/docs/en/transformer_entries/BertForSequenceClassification.md
@@ -106,11 +106,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[BertForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForSequenceClassification)
+[BertForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification)
+[BertForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/BertForTokenClassification.md b/docs/en/transformer_entries/BertForTokenClassification.md
index 6b54405d3101fb..a624227b6b6114 100644
--- a/docs/en/transformer_entries/BertForTokenClassification.md
+++ b/docs/en/transformer_entries/BertForTokenClassification.md
@@ -123,11 +123,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[BertForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForTokenClassification)
+[BertForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/BertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification)
+[BertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/BertSentenceEmbeddings.md b/docs/en/transformer_entries/BertSentenceEmbeddings.md
index 62036085b4ba7f..4c351b78ae56a7 100644
--- a/docs/en/transformer_entries/BertSentenceEmbeddings.md
+++ b/docs/en/transformer_entries/BertSentenceEmbeddings.md
@@ -48,11 +48,11 @@ SENTENCE_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[BertSentenceEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/BertSentenceEmbeddings)
+[BertSentenceEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/BertSentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[BertSentenceEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.html#sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings)
+[BertSentenceEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.html#sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/CamemBertEmbeddings.md b/docs/en/transformer_entries/CamemBertEmbeddings.md
index b5e3a16cda979a..feb1c19e2c3ccd 100644
--- a/docs/en/transformer_entries/CamemBertEmbeddings.md
+++ b/docs/en/transformer_entries/CamemBertEmbeddings.md
@@ -246,7 +246,7 @@ result.selectExpr("explode(finished_embeddings) as result").show(5, 80)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[CamemBertEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/camembert_embeddings/index.html#sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings)
+[CamemBertEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.html#sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/CamemBertForSequenceClassification.md b/docs/en/transformer_entries/CamemBertForSequenceClassification.md
index ca2e3af24b2908..4dfa8b36d1808b 100644
--- a/docs/en/transformer_entries/CamemBertForSequenceClassification.md
+++ b/docs/en/transformer_entries/CamemBertForSequenceClassification.md
@@ -109,7 +109,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[CamemBertForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification)
+[CamemBertForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/CamemBertForTokenClassification.md b/docs/en/transformer_entries/CamemBertForTokenClassification.md
index 762a019654127c..f2552d5f525339 100644
--- a/docs/en/transformer_entries/CamemBertForTokenClassification.md
+++ b/docs/en/transformer_entries/CamemBertForTokenClassification.md
@@ -108,7 +108,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[CamemBertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification)
+[CamemBertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/DeBertaEmbeddings.md b/docs/en/transformer_entries/DeBertaEmbeddings.md
index 0114d76440b2be..3f1cb78fc86bad 100644
--- a/docs/en/transformer_entries/DeBertaEmbeddings.md
+++ b/docs/en/transformer_entries/DeBertaEmbeddings.md
@@ -238,11 +238,11 @@ val pipelineModel = pipeline.fit(trainingData)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DeBertaEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/DeBertaEmbeddings)
+[DeBertaEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/DeBertaEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DeBertaEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/deberta_embeddings/index.html#sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings)
+[DeBertaEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.html#sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/DeBertaForQuestionAnswering.md b/docs/en/transformer_entries/DeBertaForQuestionAnswering.md
index 5f6abdc3af1aae..60918ac625071c 100644
--- a/docs/en/transformer_entries/DeBertaForQuestionAnswering.md
+++ b/docs/en/transformer_entries/DeBertaForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DeBertaForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.html#sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering)
+[DeBertaForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.html#sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/DistilBertEmbeddings.md b/docs/en/transformer_entries/DistilBertEmbeddings.md
index a54e9111691019..affa9635ba6915 100644
--- a/docs/en/transformer_entries/DistilBertEmbeddings.md
+++ b/docs/en/transformer_entries/DistilBertEmbeddings.md
@@ -52,11 +52,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DistilBertEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/DistilBertEmbeddings)
+[DistilBertEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/DistilBertEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DistilBertEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/distil_bert_embeddings/index.html#sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings)
+[DistilBertEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.html#sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/DistilBertForQuestionAnswering.md b/docs/en/transformer_entries/DistilBertForQuestionAnswering.md
index f4b7e3007b7901..123b549aa9915f 100644
--- a/docs/en/transformer_entries/DistilBertForQuestionAnswering.md
+++ b/docs/en/transformer_entries/DistilBertForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DistilBertForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering)
+[DistilBertForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/DistilBertForSequenceClassification.md b/docs/en/transformer_entries/DistilBertForSequenceClassification.md
index ec6a8c73105cc4..926b70d792d689 100644
--- a/docs/en/transformer_entries/DistilBertForSequenceClassification.md
+++ b/docs/en/transformer_entries/DistilBertForSequenceClassification.md
@@ -105,11 +105,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DistilBertForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForSequenceClassification)
+[DistilBertForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DistilBertForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification)
+[DistilBertForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/DistilBertForTokenClassification.md b/docs/en/transformer_entries/DistilBertForTokenClassification.md
index e910c9d989bcf4..cfd7f53f78cbe8 100644
--- a/docs/en/transformer_entries/DistilBertForTokenClassification.md
+++ b/docs/en/transformer_entries/DistilBertForTokenClassification.md
@@ -29,11 +29,11 @@ NAMED_ENTITY
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[DistilBertForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForTokenClassification)
+[DistilBertForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/DistilBertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[DistilBertForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification)
+[DistilBertForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html#sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/ElmoEmbeddings.md b/docs/en/transformer_entries/ElmoEmbeddings.md
index 49666e2eb3f756..9704e786087693 100644
--- a/docs/en/transformer_entries/ElmoEmbeddings.md
+++ b/docs/en/transformer_entries/ElmoEmbeddings.md
@@ -60,11 +60,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[ElmoEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/ElmoEmbeddings)
+[ElmoEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/ElmoEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ElmoEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/elmo_embeddings/index.html#sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings)
+[ElmoEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.html#sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/GPT2Transformer.md b/docs/en/transformer_entries/GPT2Transformer.md
index 7e0931509a5644..a11cdae5e4c348 100644
--- a/docs/en/transformer_entries/GPT2Transformer.md
+++ b/docs/en/transformer_entries/GPT2Transformer.md
@@ -125,11 +125,11 @@ results.select("generation.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[GPT2Transformer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/seq2seq/GPT2Transformer)
+[GPT2Transformer](/api/com/johnsnowlabs/nlp/annotators/seq2seq/GPT2Transformer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[GPT2Transformer](/api/python/reference/autosummary/python/sparknlp/annotator/seq2seq/gpt2_transformer/index.html#sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer)
+[GPT2Transformer](/api/python/reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.html#sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/LongformerEmbeddings.md b/docs/en/transformer_entries/LongformerEmbeddings.md
index a6561812f16b9c..64f183f98e9d4a 100644
--- a/docs/en/transformer_entries/LongformerEmbeddings.md
+++ b/docs/en/transformer_entries/LongformerEmbeddings.md
@@ -41,11 +41,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[LongformerEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/LongformerEmbeddings)
+[LongformerEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/LongformerEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[LongformerEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/longformer_embeddings/index.html#sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings)
+[LongformerEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.html#sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/LongformerForQuestionAnswering.md b/docs/en/transformer_entries/LongformerForQuestionAnswering.md
index 6954315bdb4e80..a3733e2cd250fa 100644
--- a/docs/en/transformer_entries/LongformerForQuestionAnswering.md
+++ b/docs/en/transformer_entries/LongformerForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[LongformerForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.html#sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering)
+[LongformerForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.html#sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/LongformerForSequenceClassification.md b/docs/en/transformer_entries/LongformerForSequenceClassification.md
index b8e4b15eada980..184060d23f231a 100644
--- a/docs/en/transformer_entries/LongformerForSequenceClassification.md
+++ b/docs/en/transformer_entries/LongformerForSequenceClassification.md
@@ -103,11 +103,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[LongformerForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/LongformerForSequenceClassification)
+[LongformerForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/LongformerForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[LongformerForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification)
+[LongformerForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/LongformerForTokenClassification.md b/docs/en/transformer_entries/LongformerForTokenClassification.md
index e839e80802e291..e39bad248a61a3 100644
--- a/docs/en/transformer_entries/LongformerForTokenClassification.md
+++ b/docs/en/transformer_entries/LongformerForTokenClassification.md
@@ -123,11 +123,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[LongformerForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/LongformerForTokenClassification)
+[LongformerForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/LongformerForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[LongformerForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.html#sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification)
+[LongformerForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.html#sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/MarianTransformer.md b/docs/en/transformer_entries/MarianTransformer.md
index 78949659c37b9d..50ff4a24e72842 100644
--- a/docs/en/transformer_entries/MarianTransformer.md
+++ b/docs/en/transformer_entries/MarianTransformer.md
@@ -134,11 +134,11 @@ result.selectExpr("explode(translation.result) as result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[MarianTransformer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/seq2seq/MarianTransformer)
+[MarianTransformer](/api/com/johnsnowlabs/nlp/annotators/seq2seq/MarianTransformer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[MarianTransformer](/api/python/reference/autosummary/python/sparknlp/annotator/seq2seq/marian_transformer/index.html#sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer)
+[MarianTransformer](/api/python/reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.html#sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/RoBertaEmbeddings.md b/docs/en/transformer_entries/RoBertaEmbeddings.md
index b00949d62ab97b..c997ac566c6320 100644
--- a/docs/en/transformer_entries/RoBertaEmbeddings.md
+++ b/docs/en/transformer_entries/RoBertaEmbeddings.md
@@ -49,11 +49,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[RoBertaEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/RoBertaEmbeddings)
+[RoBertaEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/RoBertaEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RoBertaEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/roberta_embeddings/index.html#sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings)
+[RoBertaEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.html#sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/RoBertaForQuestionAnswering.md b/docs/en/transformer_entries/RoBertaForQuestionAnswering.md
index 455eacb7de751f..10d80050e8b793 100644
--- a/docs/en/transformer_entries/RoBertaForQuestionAnswering.md
+++ b/docs/en/transformer_entries/RoBertaForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RoBertaForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.html#sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering)
+[RoBertaForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.html#sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/RoBertaForSequenceClassification.md b/docs/en/transformer_entries/RoBertaForSequenceClassification.md
index dc2c83e2fd7d4e..b88bb8a10f8464 100644
--- a/docs/en/transformer_entries/RoBertaForSequenceClassification.md
+++ b/docs/en/transformer_entries/RoBertaForSequenceClassification.md
@@ -99,11 +99,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[RoBertaForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/RoBertaForSequenceClassification)
+[RoBertaForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/RoBertaForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RoBertaForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification)
+[RoBertaForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/RoBertaForTokenClassification.md b/docs/en/transformer_entries/RoBertaForTokenClassification.md
index b787c70def82ae..0767d598e5d32c 100644
--- a/docs/en/transformer_entries/RoBertaForTokenClassification.md
+++ b/docs/en/transformer_entries/RoBertaForTokenClassification.md
@@ -123,11 +123,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[RoBertaForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/RoBertaForTokenClassification)
+[RoBertaForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/RoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RoBertaForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification)
+[RoBertaForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/RoBertaSentenceEmbeddings.md b/docs/en/transformer_entries/RoBertaSentenceEmbeddings.md
index fa47382859c963..d7c635939b89f7 100644
--- a/docs/en/transformer_entries/RoBertaSentenceEmbeddings.md
+++ b/docs/en/transformer_entries/RoBertaSentenceEmbeddings.md
@@ -47,11 +47,11 @@ SENTENCE_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[RoBertaSentenceEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.html#sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings)
+[RoBertaSentenceEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.html#sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[RoBertaSentenceEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/RoBertaSentenceEmbeddings)
+[RoBertaSentenceEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/RoBertaSentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/SpanBertCoref.md b/docs/en/transformer_entries/SpanBertCoref.md
index 5f0a741656edb5..921161e400a61c 100644
--- a/docs/en/transformer_entries/SpanBertCoref.md
+++ b/docs/en/transformer_entries/SpanBertCoref.md
@@ -134,7 +134,7 @@ result.selectExpr(""explode(corefs) AS coref"")
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[SpanBertCorefModel](/api/python/reference/autosummary/python/sparknlp/annotator/coref/spanbert_coref/index.html#python.sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel)
+[SpanBertCorefModel](/api/python/reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.html#python.sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/T5Transformer.md b/docs/en/transformer_entries/T5Transformer.md
index a292dcb8fc59dc..33fcd3779aa0e3 100644
--- a/docs/en/transformer_entries/T5Transformer.md
+++ b/docs/en/transformer_entries/T5Transformer.md
@@ -141,11 +141,11 @@ result.select("summaries.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[T5Transformer](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/seq2seq/T5Transformer)
+[T5Transformer](/api/com/johnsnowlabs/nlp/annotators/seq2seq/T5Transformer)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[T5Transformer](/api/python/reference/autosummary/python/sparknlp/annotator/seq2seq/t5_transformer/index.html#sparknlp.annotator.seq2seq.t5_transformer.T5Transformer)
+[T5Transformer](/api/python/reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.html#sparknlp.annotator.seq2seq.t5_transformer.T5Transformer)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/TapasForQuestionAnswering.md b/docs/en/transformer_entries/TapasForQuestionAnswering.md
index c21d2ee9abd21b..d33a344e35d6dd 100644
--- a/docs/en/transformer_entries/TapasForQuestionAnswering.md
+++ b/docs/en/transformer_entries/TapasForQuestionAnswering.md
@@ -163,7 +163,7 @@ result
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[TapasForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.html?highlight=tapas#python.sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering)
+[TapasForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.html?highlight=tapas#python.sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/UniversalSentenceEncoder.md b/docs/en/transformer_entries/UniversalSentenceEncoder.md
index c67d1fb3176ac4..e06f003c1606c1 100644
--- a/docs/en/transformer_entries/UniversalSentenceEncoder.md
+++ b/docs/en/transformer_entries/UniversalSentenceEncoder.md
@@ -46,11 +46,11 @@ SENTENCE_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[UniversalSentenceEncoder](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/UniversalSentenceEncoder)
+[UniversalSentenceEncoder](/api/com/johnsnowlabs/nlp/embeddings/UniversalSentenceEncoder)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[UniversalSentenceEncoder](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/universal_sentence_encoder/index.html#sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder)
+[UniversalSentenceEncoder](/api/python/reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.html#sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/ViTForImageClassification.md b/docs/en/transformer_entries/ViTForImageClassification.md
index b065c0b6382fdc..f8bee741bae15f 100644
--- a/docs/en/transformer_entries/ViTForImageClassification.md
+++ b/docs/en/transformer_entries/ViTForImageClassification.md
@@ -102,7 +102,7 @@ val pipelineDF = pipeline.fit(imageDF).transform(imageDF)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[ViTForImageClassification](/api/python/reference/autosummary/python/sparknlp/annotator/cv/vit_for_image_classification/index.html#sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification)
+[ViTForImageClassification](/api/python/reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.html#sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/Wav2Vec2ForCTC.md b/docs/en/transformer_entries/Wav2Vec2ForCTC.md
index a3d241262524d7..31fa145e5b5ec7 100644
--- a/docs/en/transformer_entries/Wav2Vec2ForCTC.md
+++ b/docs/en/transformer_entries/Wav2Vec2ForCTC.md
@@ -108,7 +108,7 @@ result.select("text.result").show(truncate = false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[Wav2Vec2ForCTC](/api/python/reference/autosummary/python/sparknlp/annotator/audio/wav2vec2_for_ctc/index.html?highlight=wav2vec2forctc#python.sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC)
+[Wav2Vec2ForCTC](/api/python/reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.html?highlight=wav2vec2forctc#python.sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlmRoBertaEmbeddings.md b/docs/en/transformer_entries/XlmRoBertaEmbeddings.md
index ca0442b38434c2..acb8a5ec74c6ad 100644
--- a/docs/en/transformer_entries/XlmRoBertaEmbeddings.md
+++ b/docs/en/transformer_entries/XlmRoBertaEmbeddings.md
@@ -53,11 +53,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlmRoBertaEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/XlmRoBertaEmbeddings)
+[XlmRoBertaEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/XlmRoBertaEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlmRoBertaEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.html#sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings)
+[XlmRoBertaEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.html#sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md b/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md
index 52567c13575505..6920b51fb20118 100644
--- a/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md
+++ b/docs/en/transformer_entries/XlmRoBertaForQuestionAnswering.md
@@ -100,7 +100,7 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlmRoBertaForQuestionAnswering](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering)
+[XlmRoBertaForQuestionAnswering](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlmRoBertaForSequenceClassification.md b/docs/en/transformer_entries/XlmRoBertaForSequenceClassification.md
index 266c319b60412b..34f00d18ca4a18 100644
--- a/docs/en/transformer_entries/XlmRoBertaForSequenceClassification.md
+++ b/docs/en/transformer_entries/XlmRoBertaForSequenceClassification.md
@@ -103,11 +103,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlmRoBertaForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlmRoBertaForSequenceClassification)
+[XlmRoBertaForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlmRoBertaForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlmRoBertaForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification)
+[XlmRoBertaForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlmRoBertaForTokenClassification.md b/docs/en/transformer_entries/XlmRoBertaForTokenClassification.md
index 1d69a9fe2a2234..3f6a89d6a5e67d 100644
--- a/docs/en/transformer_entries/XlmRoBertaForTokenClassification.md
+++ b/docs/en/transformer_entries/XlmRoBertaForTokenClassification.md
@@ -123,11 +123,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlmRoBertaForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlmRoBertaForTokenClassification)
+[XlmRoBertaForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlmRoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlmRoBertaForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification)
+[XlmRoBertaForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html#sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlmRoBertaSentenceEmbeddings.md b/docs/en/transformer_entries/XlmRoBertaSentenceEmbeddings.md
index 95c7d3a90936e0..61ba131b883700 100644
--- a/docs/en/transformer_entries/XlmRoBertaSentenceEmbeddings.md
+++ b/docs/en/transformer_entries/XlmRoBertaSentenceEmbeddings.md
@@ -51,11 +51,11 @@ SENTENCE_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlmRoBertaSentenceEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.html#sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings)
+[XlmRoBertaSentenceEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.html#sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlmRoBertaSentenceEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/XlmRoBertaSentenceEmbeddings)
+[XlmRoBertaSentenceEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/XlmRoBertaSentenceEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlnetEmbeddings.md b/docs/en/transformer_entries/XlnetEmbeddings.md
index 60b0709d51334e..c194b1bb633365 100644
--- a/docs/en/transformer_entries/XlnetEmbeddings.md
+++ b/docs/en/transformer_entries/XlnetEmbeddings.md
@@ -65,11 +65,11 @@ WORD_EMBEDDINGS
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlnetEmbeddings](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/embeddings/XlnetEmbeddings)
+[XlnetEmbeddings](/api/com/johnsnowlabs/nlp/embeddings/XlnetEmbeddings)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlnetEmbeddings](/api/python/reference/autosummary/python/sparknlp/annotator/embeddings/xlnet_embeddings/index.html#sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings)
+[XlnetEmbeddings](/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.html#sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlnetForSequenceClassification.md b/docs/en/transformer_entries/XlnetForSequenceClassification.md
index 64d735cdf52530..5cbe0ec25564be 100644
--- a/docs/en/transformer_entries/XlnetForSequenceClassification.md
+++ b/docs/en/transformer_entries/XlnetForSequenceClassification.md
@@ -104,11 +104,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlnetForSequenceClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlnetForSequenceClassification)
+[XlnetForSequenceClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlnetForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlnetForSequenceClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification)
+[XlnetForSequenceClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.html#sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}
diff --git a/docs/en/transformer_entries/XlnetForTokenClassification.md b/docs/en/transformer_entries/XlnetForTokenClassification.md
index 7dacb7eda9ef38..959da56ce00b86 100644
--- a/docs/en/transformer_entries/XlnetForTokenClassification.md
+++ b/docs/en/transformer_entries/XlnetForTokenClassification.md
@@ -123,11 +123,11 @@ result.select("label.result").show(false)
 {%- endcapture -%}
 
 {%- capture api_link -%}
-[XlnetForTokenClassification](https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlnetForTokenClassification)
+[XlnetForTokenClassification](/api/com/johnsnowlabs/nlp/annotators/classifier/dl/XlnetForTokenClassification)
 {%- endcapture -%}
 
 {%- capture python_api_link -%}
-[XlnetForTokenClassification](/api/python/reference/autosummary/python/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.html#sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification)
+[XlnetForTokenClassification](/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.html#sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification)
 {%- endcapture -%}
 
 {%- capture source_link -%}