This github repository includes the information about the ChiMed Corpus.
Nov. 19, 2023
We recently released a large language model for the Chinese medical domain named ChiMed-GPT, which is trained on ChiMed data. For more information, please visit our GitHub Repo.
Apr. 29, 2022
ChiMed is availabel by valid request! The ChiMST corpus contains 1,000 QA pages with annotations of Chinese word segmentation and medical terms.
The copyright of the corpus belongs to 39ask. We release the ChiMed corpus based on our contract with 39ask.
Please vist here for the information to request the datasets.
| Number | |
|---|---|
| # of QA pages | 200,744 |
| # of departments | 15 |
| # of questions | 200,744 |
| avg # of characters per question | 55.57 |
| # of answers | 401,488 |
| avg # of characters per answer | 85.21 |
| # of unique keyphrases | 11,724 |
| avg # of keyphrases per QA page | 4.51 |
For each answer in the corpus, there are two flags: Recommended and Adopted. Their differences are:
Recommended: whether the answer is recommended by the 39ask website (chosen by the website system);Adopted: whether the patient adopts the answer (chosen by the user).
If you use the ChiMed corpus, please cite the following paper (Note: the ChiMed Corpus is larger than the dataset used in this paper).
@inproceedings{tian-etal-2019-chimed,
title = "ChiMed: A Chinese Medical Corpus for Question Answering",
author = "Tian, Yuanhe and Ma, Weicheng and Xia, Fei and Song, Yan",
booktitle = "Proceedings of the 18th BioNLP Workshop and Shared Task",
month = aug,
year = "2019",
address = "Florence, Italy",
pages = "250--260",
}