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MedDialog: Two Large-scale Medical Dialogue Datasets

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arxiv 2004.03329 v2 pith:4Q74IDHK submitted 2020-04-07 cs.LG cs.AIcs.CLstat.ML

Xuehai He , Shu Chen , Zeqian Ju , Xiangyu Dong , Hongchao Fang , Sicheng Wang , Yue Yang , Jiaqi Zeng
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Ruisi Zhang Ruoyu Zhang Meng Zhou Penghui Zhu Pengtao Xie
This is my paper · ORCID
classification cs.LGcs.AIcs.CLstat.ML
keywords medicaldialoguemilliondatasetdatasetscontainingconversationslarge-scale
verification ladder T0 review T1 audit T2 compute T3 formal
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Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs. To facilitate the research and development of medical dialogue systems, we build two large-scale medical dialogue datasets: MedDialog-EN and MedDialog-CN. MedDialog-EN is an English dataset containing 0.3 million conversations between patients and doctors and 0.5 million utterances. MedDialog-CN is an Chinese dataset containing 1.1 million conversations and 4 million utterances. To our best knowledge, MedDialog-(EN,CN) are the largest medical dialogue datasets to date. The dataset is available at https://github.com/UCSD-AI4H/Medical-Dialogue-System

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