This is the dataset for Chinese community medical question answering. The dataset is in version 1.0 and is available for non-commercial research. We will update and expand the database from time to time. In order to protect the privacy, the data is anonymized and no personal information is included.
The newest version of cMedQA now comes to v2.0. You can click here
| DataSet | #Ques | #Ans | Ave. #words per Question | Ave. #words per Answer | Ave. #characters per Question | Ave. #characters per Answer |
|---|---|---|---|---|---|---|
| Train | 50,000 | 94,134 | 97 | 169 | 120 | 212 |
| Dev | 2,000 | 3,774 | 94 | 172 | 117 | 216 |
| Test | 2,000 | 3,835 | 96 | 168 | 119 | 211 |
| Total | 54,000 | 101,743 | 96 | 169 | 119 | 212 |
- questions.csv All Questions and their content.
- answers.csv All Answers and their content.
- train_candidates.txt dev_candidates.txt test_candidates.txt The split of training set, development set and test set respectively.
Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs link to the paper
Please cite our paper when you use the dataset.
@article{zhang2017chinese,
title={Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs},
author={Zhang, Sheng and Zhang, Xin and Wang, Hui and Cheng, Jiajun and Li, Pei and Ding, Zhaoyun},
journal={Applied Sciences},
volume={7},
number={8},
pages={767},
year={2017},
publisher={Multidisciplinary Digital Publishing Institute}
}