公开数据集

LFQA患者医生对话数据
Scene:
NLP,MedicalData Type:
Classification
Data Preview ?
433.32M
Data Structure ?
*数据结构实际以真实数据为准
What is Diagnose me?
Diagnose me is an LFQA dataset of dialogues between patients and doctors based on factual conversations from icliniq.com and healthcaremagic.com that aims to collect more than 257k of different questions and prescriptions for patients.
Data Format
I have preprocessed the data and converted it into two formats; JSON and feather.
This dataset is useful in creating LFQA for the medical industry, Medical bots, and others.
Data Snippet
Reference
Background Ref: Doctor team photo created by Iaros - www.freepik.com
The raw dataset has been collected by the authors of Medical-Dialogue-System
@article{chen2020meddiag, title={MedDialog: a large-scale medical dialogue dataset}, author={Chen, Shu and Ju, Zeqian and Dong, Xiangyu and Fang, Hongchao and Wang, Sicheng and Yang, Yue and Zeng, Jiaqi and Zhang, Ruisi and Zhang, Ruoyu and Zhou, Meng and Zhu, Penghui and Xie, Pengtao}, journal={arXiv preprint arXiv:2004.03329}, year={2020} }
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