{
  "document_id": "lb_qasper_76f663a13234c9da9f1d78c72b52d73ab37da0977e0001d8",
  "family": "public_qasper",
  "split": "test",
  "document_hash": "5724368043143d51f10254b9efc23d824840c3605c32f9c85bacfa4c4ca5faa4",
  "questions": [
    {
      "question_id": "q00",
      "qtype": "qasper",
      "question": "What are method's improvements of F1 for NER task for English and Chinese datasets?",
      "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",
      "aliases": [
        "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"
      ],
      "answer_type": "qa_f1",
      "tolerance": 0.0,
      "supporting_fact_ids": [],
      "answer_position_frac": -1.0
    }
  ],
  "facts": []
}