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DRCD: a Chinese Machine Reading Comprehension Dataset

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arxiv 1806.00920 v3 pith:AUB53BM7 submitted 2018-06-04 cs.CL

Chih Chieh Shao , Trois Liu , Yuting Lai , Yiying Tseng , Sam Tsai This is my paper · ORCID
classification cs.CL
keywords datasetcomprehensionreadingchinesemachinedrcdscoreachieves
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In this paper, we introduce DRCD (Delta Reading Comprehension Dataset), an open domain traditional Chinese machine reading comprehension (MRC) dataset. This dataset aimed to be a standard Chinese machine reading comprehension dataset, which can be a source dataset in transfer learning. The dataset contains 10,014 paragraphs from 2,108 Wikipedia articles and 30,000+ questions generated by annotators. We build a baseline model that achieves an F1 score of 89.59%. F1 score of Human performance is 93.30%.

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Cited by 5 Pith papers

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