MedDialog: Two Large-scale Medical Dialogue Datasets

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: Me...

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Bibliographic Details
Published inarXiv.org
Main Authors He, Xuehai, Chen, Shu, Ju, Zeqian, Dong, Xiangyu, Fang, Hongchao, Wang, Sicheng, Yang, Yue, Zeng, Jiaqi, Zhang, Ruisi, Zhang, Ruoyu, Zhou, Meng, Zhu, Penghui, Xie, Pengtao
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 07.07.2020
Subjects
Datasets
Medical research
Physicians
R&D
Research & development
Telemedicine
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Summary: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
ISSN:2331-8422