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DRCD: a Chinese Machine Reading Comprehension Dataset

Computation and Language 2019-05-30 v3

Abstract

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%.

Keywords

Cite

@article{arxiv.1806.00920,
  title  = {DRCD: a Chinese Machine Reading Comprehension Dataset},
  author = {Chih Chieh Shao and Trois Liu and Yuting Lai and Yiying Tseng and Sam Tsai},
  journal= {arXiv preprint arXiv:1806.00920},
  year   = {2019}
}

Comments

5 pages

R2 v1 2026-06-23T02:17:40.414Z