arxiv:1806.00920

DRCD: a Chinese Machine Reading Comprehension Dataset

Published on May 29, 2019

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Abstract

A traditional Chinese machine reading comprehension dataset with over 30,000 questions is introduced to serve as a source for transfer learning, with a baseline model achieving near-human F1 performance.

Generated by thinkingmachines/Inkling-Small

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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