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Question Answering

2,670 평가 기록 261 datasets

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

하위 태스크

MQ Mathematical Question Answering 15 데이터셋 · 255 rows ZV Zero-Shot Video Question Answer 17 데이터셋 · 239 rows MC Multiple Choice Question Answering (MCQA) 31 데이터셋 · 179 rows OQ Open-Domain Question Answering 15 데이터셋 · 109 rows KB Knowledge Base Question Answering 10 데이터셋 · 44 rows CQ Cross-Lingual Question Answering 3 데이터셋 · 18 rows AS Answer Selection 6 데이터셋 · 10 rows SQ Science Question Answering 1 데이터셋 · 10 rows TQ Temporal/Casual QA 1 데이터셋 · 8 rows GQ Generative Question Answering 2 데이터셋 · 7 rows LR Logical Reasoning Question Answering 1 데이터셋 · 3 rows CQ Community Question Answering 2 데이터셋 · 2 rows CQ Conversational Question Answering 1 데이터셋 · 2 rows QQ Question Quality Assessment 2 데이터셋 · 2 rows MM Multilingual Machine Comprehension in English Hindi 1 데이터셋 · 1 rows LF Long Form Question Answering 0 데이터셋 · 0 rows OQ Open-Ended Question Answering 0 데이터셋 · 0 rows TQ Table-based Question Answering 0 데이터셋 · 0 rows TO True or False Question Answering 0 데이터셋 · 0 rows