MedDialog: Two Large-scale Medical Dialogue Datasets
This addresses the need for data to develop medical dialogue systems, which can assist in telemedicine, but it is incremental as it primarily provides new datasets rather than novel methods.
The authors tackled the lack of large-scale medical dialogue datasets by building MedDialog-EN and MedDialog-CN, resulting in the largest such datasets to date with 0.3 million conversations in English and 1.1 million in Chinese.
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