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Add CQADupStack flat baselines for BEIR regressions (#1846)
Add resources for beir_v1.0.0 cqadupstack regressions Rearrange beir_v1.0.0 regression orders in README.md
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| Original file line number | Diff line number | Diff line change |
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| # Anserini Regressions: BEIR (v1.0.0) — CQADupStack-Android | ||
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| This page documents BM25 regression experiments for [BEIR (v1.0.0) — CQADupStack-Android](http://beir.ai/). | ||
| These experiments index the corpus in a "flat" manner, by concatenating the "title" and "text" into the "contents" field. | ||
|
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| The exact configurations for these regressions are stored in [this YAML file](../src/main/resources/regression/beir-v1.0.0-cqadupstack-android-flat.yaml). | ||
| Note that this page is automatically generated from [this template](../src/main/resources/docgen/templates/beir-v1.0.0-cqadupstack-android-flat.template) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead. | ||
|
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| From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end: | ||
|
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| ``` | ||
| python src/main/python/run_regression.py --index --verify --search --regression beir-v1.0.0-cqadupstack-android-flat | ||
| ``` | ||
|
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| ## Indexing | ||
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| Typical indexing command: | ||
|
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| ``` | ||
| target/appassembler/bin/IndexCollection \ | ||
| -collection BeirFlatCollection \ | ||
| -input /path/to/beir-v1.0.0-cqadupstack-android-flat \ | ||
| -index indexes/lucene-index.beir-v1.0.0-cqadupstack-android-flat/ \ | ||
| -generator DefaultLuceneDocumentGenerator \ | ||
| -threads 1 -storePositions -storeDocvectors -storeRaw \ | ||
| >& logs/log.beir-v1.0.0-cqadupstack-android-flat & | ||
| ``` | ||
|
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||
| For additional details, see explanation of [common indexing options](common-indexing-options.md). | ||
|
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| ## Retrieval | ||
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| After indexing has completed, you should be able to perform retrieval as follows: | ||
|
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| ``` | ||
| target/appassembler/bin/SearchCollection \ | ||
| -index indexes/lucene-index.beir-v1.0.0-cqadupstack-android-flat/ \ | ||
| -topics src/main/resources/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-android.test.tsv.gz \ | ||
| -topicreader TsvString \ | ||
| -output runs/run.beir-v1.0.0-cqadupstack-android-flat.bm25.topics.beir-v1.0.0-cqadupstack-android.test.txt \ | ||
| -bm25 -removeQuery -hits 1000 & | ||
| ``` | ||
|
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||
| Evaluation can be performed using `trec_eval`: | ||
|
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||
| ``` | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-android.test.txt runs/run.beir-v1.0.0-cqadupstack-android-flat.bm25.topics.beir-v1.0.0-cqadupstack-android.test.txt | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-android.test.txt runs/run.beir-v1.0.0-cqadupstack-android-flat.bm25.topics.beir-v1.0.0-cqadupstack-android.test.txt | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-android.test.txt runs/run.beir-v1.0.0-cqadupstack-android-flat.bm25.topics.beir-v1.0.0-cqadupstack-android.test.txt | ||
| ``` | ||
|
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||
| ## Effectiveness | ||
|
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||
| With the above commands, you should be able to reproduce the following results: | ||
|
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||
| | nDCG@10 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-android | 0.3801 | | ||
|
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||
|
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| | R@100 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-android | 0.6829 | | ||
|
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||
|
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||
| | R@1000 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-android | 0.8632 | |
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|---|---|---|
| @@ -0,0 +1,68 @@ | ||
| # Anserini Regressions: BEIR (v1.0.0) — CQADupStack-English | ||
|
|
||
| This page documents BM25 regression experiments for [BEIR (v1.0.0) — CQADupStack-Engligh](http://beir.ai/). | ||
| These experiments index the corpus in a "flat" manner, by concatenating the "title" and "text" into the "contents" field. | ||
|
|
||
| The exact configurations for these regressions are stored in [this YAML file](../src/main/resources/regression/beir-v1.0.0-cqadupstack-english-flat.yaml). | ||
| Note that this page is automatically generated from [this template](../src/main/resources/docgen/templates/beir-v1.0.0-cqadupstack-english-flat.template) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead. | ||
|
|
||
| From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end: | ||
|
|
||
| ``` | ||
| python src/main/python/run_regression.py --index --verify --search --regression beir-v1.0.0-cqadupstack-english-flat | ||
| ``` | ||
|
|
||
| ## Indexing | ||
|
|
||
| Typical indexing command: | ||
|
|
||
| ``` | ||
| target/appassembler/bin/IndexCollection \ | ||
| -collection BeirFlatCollection \ | ||
| -input /path/to/beir-v1.0.0-cqadupstack-english-flat \ | ||
| -index indexes/lucene-index.beir-v1.0.0-cqadupstack-english-flat/ \ | ||
| -generator DefaultLuceneDocumentGenerator \ | ||
| -threads 1 -storePositions -storeDocvectors -storeRaw \ | ||
| >& logs/log.beir-v1.0.0-cqadupstack-english-flat & | ||
| ``` | ||
|
|
||
| For additional details, see explanation of [common indexing options](common-indexing-options.md). | ||
|
|
||
| ## Retrieval | ||
|
|
||
| After indexing has completed, you should be able to perform retrieval as follows: | ||
|
|
||
| ``` | ||
| target/appassembler/bin/SearchCollection \ | ||
| -index indexes/lucene-index.beir-v1.0.0-cqadupstack-english-flat/ \ | ||
| -topics src/main/resources/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-english.test.tsv.gz \ | ||
| -topicreader TsvString \ | ||
| -output runs/run.beir-v1.0.0-cqadupstack-english-flat.bm25.topics.beir-v1.0.0-cqadupstack-english.test.txt \ | ||
| -bm25 -removeQuery -hits 1000 & | ||
| ``` | ||
|
|
||
| Evaluation can be performed using `trec_eval`: | ||
|
|
||
| ``` | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-english.test.txt runs/run.beir-v1.0.0-cqadupstack-english-flat.bm25.topics.beir-v1.0.0-cqadupstack-english.test.txt | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-english.test.txt runs/run.beir-v1.0.0-cqadupstack-english-flat.bm25.topics.beir-v1.0.0-cqadupstack-english.test.txt | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-english.test.txt runs/run.beir-v1.0.0-cqadupstack-english-flat.bm25.topics.beir-v1.0.0-cqadupstack-english.test.txt | ||
| ``` | ||
|
|
||
| ## Effectiveness | ||
|
|
||
| With the above commands, you should be able to reproduce the following results: | ||
|
|
||
| | nDCG@10 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-english | 0.3453 | | ||
|
|
||
|
|
||
| | R@100 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-english | 0.5757 | | ||
|
|
||
|
|
||
| | R@1000 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-english | 0.7323 | |
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| # Anserini Regressions: BEIR (v1.0.0) — CQADupStack-Gaming | ||
|
|
||
| This page documents BM25 regression experiments for [BEIR (v1.0.0) — CQADupStack-Gaming](http://beir.ai/). | ||
| These experiments index the corpus in a "flat" manner, by concatenating the "title" and "text" into the "contents" field. | ||
|
|
||
| The exact configurations for these regressions are stored in [this YAML file](../src/main/resources/regression/beir-v1.0.0-cqadupstack-gaming-flat.yaml). | ||
| Note that this page is automatically generated from [this template](../src/main/resources/docgen/templates/beir-v1.0.0-cqadupstack-gaming-flat.template) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead. | ||
|
|
||
| From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end: | ||
|
|
||
| ``` | ||
| python src/main/python/run_regression.py --index --verify --search --regression beir-v1.0.0-cqadupstack-gaming-flat | ||
| ``` | ||
|
|
||
| ## Indexing | ||
|
|
||
| Typical indexing command: | ||
|
|
||
| ``` | ||
| target/appassembler/bin/IndexCollection \ | ||
| -collection BeirFlatCollection \ | ||
| -input /path/to/beir-v1.0.0-cqadupstack-gaming-flat \ | ||
| -index indexes/lucene-index.beir-v1.0.0-cqadupstack-gaming-flat/ \ | ||
| -generator DefaultLuceneDocumentGenerator \ | ||
| -threads 1 -storePositions -storeDocvectors -storeRaw \ | ||
| >& logs/log.beir-v1.0.0-cqadupstack-gaming-flat & | ||
| ``` | ||
|
|
||
| For additional details, see explanation of [common indexing options](common-indexing-options.md). | ||
|
|
||
| ## Retrieval | ||
|
|
||
| After indexing has completed, you should be able to perform retrieval as follows: | ||
|
|
||
| ``` | ||
| target/appassembler/bin/SearchCollection \ | ||
| -index indexes/lucene-index.beir-v1.0.0-cqadupstack-gaming-flat/ \ | ||
| -topics src/main/resources/topics-and-qrels/topics.beir-v1.0.0-cqadupstack-gaming.test.tsv.gz \ | ||
| -topicreader TsvString \ | ||
| -output runs/run.beir-v1.0.0-cqadupstack-gaming-flat.bm25.topics.beir-v1.0.0-cqadupstack-gaming.test.txt \ | ||
| -bm25 -removeQuery -hits 1000 & | ||
| ``` | ||
|
|
||
| Evaluation can be performed using `trec_eval`: | ||
|
|
||
| ``` | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-gaming.test.txt runs/run.beir-v1.0.0-cqadupstack-gaming-flat.bm25.topics.beir-v1.0.0-cqadupstack-gaming.test.txt | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-gaming.test.txt runs/run.beir-v1.0.0-cqadupstack-gaming-flat.bm25.topics.beir-v1.0.0-cqadupstack-gaming.test.txt | ||
| tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-cqadupstack-gaming.test.txt runs/run.beir-v1.0.0-cqadupstack-gaming-flat.bm25.topics.beir-v1.0.0-cqadupstack-gaming.test.txt | ||
| ``` | ||
|
|
||
| ## Effectiveness | ||
|
|
||
| With the above commands, you should be able to reproduce the following results: | ||
|
|
||
| | nDCG@10 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-gaming | 0.4822 | | ||
|
|
||
|
|
||
| | R@100 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-gaming | 0.7651 | | ||
|
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||
|
|
||
| | R@1000 | BM25 | | ||
| |:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| | BEIR (v1.0.0): cqadupstack-gaming | 0.8945 | |
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