1{2 "document_id": "lb_qasper_76f663a13234c9da9f1d78c72b52d73ab37da0977e0001d8",3 "family": "public_qasper",4 "split": "test",5 "document_hash": "5724368043143d51f10254b9efc23d824840c3605c32f9c85bacfa4c4ca5faa4",6 "questions": [7 {8 "question_id": "q00",9 "qtype": "qasper",10 "question": "What are method's improvements of F1 for NER task for English and Chinese datasets?",11 "answer": "English datasets including CoNLL2003 and OntoNotes5.0, our proposed method outperforms BERT-MRCBIBREF38 by +0.29 and +0.96 respectively, Chinese datasets, achieving F1 improvements by +0.97 and +2.36 on MSRA and OntoNotes4.0, respectively",12 "aliases": [13 "For English datasets including CoNLL2003 and OntoNotes5.0, our proposed method outperforms BERT-MRCBIBREF38 by +0.29 and +0.96 respectively., huge performance boosts on Chinese datasets, achieving F1 improvements by +0.97 and +2.36 on MSRA and OntoNotes4.0, respectively"14 ],15 "answer_type": "qa_f1",16 "tolerance": 0.0,17 "supporting_fact_ids": [],18 "answer_position_frac": -1.019 }20 ],21 "facts": []22}