update

process.py

@@ -88,15 +88,9 @@ if __name__ == '__main__':
             for _, _g in df.groupby('q_review_id'):
                 if any(i == 'ANSWERNOTFOUND' for i in _g['human_ans_spans']):
                     continue
-                # if len(_g["human_ans_spans"].unique()) != 1:
-                #     continue
-                # _df = _g.iloc[0]
                 _len = [len(i) for i in _g["human_ans_spans"]]
                 _df = _g.iloc[_len.index(max(_len))]
                 start, end = eval(_df['human_ans_indices'])
-                # if re.sub(r'[\s\W]', '', _df['review'][start:end]) != re.sub(r'[\s\W]', '', _df["human_ans_spans"]):
-                #     input(f"{_df['review'][start:end]} != {_df['human_ans_spans']}")
-                #     continue
                 out = process_single_data(question=re.sub(r'\s+\?', '?', _df['question']),
                                           answer=_df['review'][start:end],
                                           paragraph=_df['review'])
@@ -107,11 +101,3 @@ if __name__ == '__main__':
                 output.append(out)
             with open(f'./data/processed/{i}.{s.replace(".csv", ".jsonl")}', 'w') as f:
                 f.write('\n'.join([json.dumps(i) for i in output]))
-
-    # for s in ["dev", "test", "train"]:
-    #     output = []
-    #     for i in ["books", "electronics", "grocery", "movies", "restaurants", "tripadvisor"]:
-    #         with open(f'./data/processed/{i}.{s}.jsonl', 'r') as f:
-    #             output += [json.loads(i) for i in f.read().split('\n') if len(i) > 0]
-    #     with open(f'./data/processed/default.{s}.jsonl', 'w') as f:
-    #         f.write('\n'.join([json.dumps(i) for i in output]))