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https://github.com/hejunqing/webMedQA

A Chinese medical question answering dataset
https://github.com/hejunqing/webMedQA

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A Chinese medical question answering dataset

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README

          

# webMedQA
A real-world Chinese medical question answering dataset collected from online health consultancy websites. [Our paper](https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-019-0761-8)

# Dataset description

| | Train| Dev| Test|
|---|----|----|-----|
|Questions|50610|6337|6337|
|Avg length|86.68|87.43|86.08|
|Answers|253050|21685|31685|
|Avg length|146.88|147.74|148.50|

Each question has 1 positive and 4 negative answers.
A sample:

![sample](https://github.com/hejunqing/webMedQA/blob/master/medQA.PNG)

Please read our paper for more detail.

# Please Cite

```
@article{he2019applying,
title={Applying deep matching networks to Chinese medical question answering: A study and a dataset},
author={He, Junqing and Fu, Mingming and Tu, Manshu},
journal={BMC Medical Informatics and Decision Making},
volume={19},
number={2},
pages={52},
year={2019},
doi={10.1186/s12911-019-0761-8}
}

```