1{2 "document_id": "lb_qasper_ea4db579b5224fe0fa413ee436a5f4f56777dfa3e25d99d7",3 "family": "public_qasper",4 "split": "test",5 "document_hash": "b48e5e16fc3434cba3c31f9de361a71ab4c9c77daa643031d1e0d5de0e6a69e8",6 "questions": [7 {8 "question_id": "q00",9 "qtype": "qasper",10 "question": "Why masking words in the decoder is helpful?",11 "answer": "ecause this process is similar to the cloze task in BERT's pre-train process, therefore by using the ability of the contextual language model the decoder can generate more fluent and natural sequences.",12 "aliases": [],13 "answer_type": "qa_f1",14 "tolerance": 0.0,15 "supporting_fact_ids": [],16 "answer_position_frac": -1.017 }18 ],19 "facts": []20}