Chore: Rename text and label cols to input and target output

[elboy3]

In this PR we:

• rename text -> input
• rename label -> target_output
• add sample level DEP

This has been successfully tested in https://deploy-preview-2770--galileo-ui.netlify.app/insights?dataframeColumns=data_error_potential%3B%26error_types%3B%26generated_output%3B%26input%3B%26target_output%3B%26token_deps%3B%26token_label_offsets%3B%26token_label_positions&projectId=bd7e3780-9f8b-4219-926e-7d3f8021410a&runId=15ae4835-8763-4b09-92b3-9db21f5cbe92&taskType=8

[setu4993]

Why rename here instead of when we create data_df?

[elboy3]

Maybe could have. due to the inheritance from base and the assumptions of text and label in the DF for all modalities, there might be some places the code assumes "text" in DF, so I decided to wait until the very end to rename.

I was going to come back to this after demo and clean it up though which was going to include looking into breaking up that assumption about text and label and replacing it with more Seq2Seq appropriate jargon

[codecov-commenter]

Codecov Report

Merging #718 (14d7885) into main (1820911) will decrease coverage by 0.03%.
The diff coverage is 81.81%.

@@            Coverage Diff             @@
##             main     #718      +/-   ##
==========================================
- Coverage   89.55%   89.53%   -0.03%     
==========================================
  Files         166      166              
  Lines       13397    13394       -3     
==========================================
- Hits        11998    11992       -6     
- Misses       1399     1402       +3     

Impacted Files	Coverage Δ
dataquality/loggers/data_logger/seq2seq.py	79.80% <0.00%> (-1.57%)	⬇️
dataquality/loggers/model_logger/seq2seq.py	92.18% <100.00%> (+0.38%)	⬆️
dataquality/schemas/seq2seq.py	100.00% <100.00%> (ø)
tests/loggers/test_seq2seq.py	100.00% <100.00%> (ø)

... and 5 files with indirect coverage changes

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