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Hi @czyssrs, thanks for your excellent work
I only found these descriptions available in the README.file.
"pre_text": the texts before the table;
"post_text": the text after the table;
"table": the table;
"id": unique example id. composed by the original report name plus example index for this report.
"qa": {
"question": the question;
"program": the reasoning program;
"gold_inds": the gold supporting facts;
"exe_ans": the gold execution result;
"program_re": the reasoning program in nested format;
}However, after walking through the actual train.json file, I found many other attributes like table_ori, table_retrieved, text_retrieved, etc. Just wondering if its possible that you could add a description for each attribute that in your dataset?
Also:
- Isn't
text_retrievedandtable_retrievedwith corresponding scores generated by a model? - what is
model_input,tfidftopnunderqa? answerandexe_ansare different for Sample 1 (filename":"ADI/2009/page_49.pdf") in thetrain.json.answer:380,exe_ans:3.8
Thanks for your help and support
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