huatuo26M-testdatasets

# Dataset Card for huatuo26M-testdatasets

## Dataset Description

- **Homepage: https://www.huatuogpt.cn/**
- **Repository: https://github.com/FreedomIntelligence/Huatuo-26M**
- **Paper: https://arxiv.org/abs/2305.01526**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

We are pleased to announce the release of our evaluation dataset, a subset of the Huatuo-26M. This dataset contains 6,000 entries that we used for Natural Language Generation (NLG) experimentation in our associated research paper.

We encourage researchers and developers to use this evaluation dataset to gauge the performance of their own models. This is not only a chance to assess the accuracy and relevancy of generated responses but also an opportunity to investigate their model's proficiency in understanding and generating complex medical language.

Note: All the data points have been anonymized to protect patient privacy, and they adhere strictly to data protection and privacy regulations.

## Citation

```
@misc{li2023huatuo26m,
title={Huatuo-26M, a Large-scale Chinese Medical QA Dataset},
author={Jianquan Li and Xidong Wang and Xiangbo Wu and Zhiyi Zhang and Xiaolong Xu and Jie Fu and Prayag Tiwari and Xiang Wan and Benyou Wang},
year={2023},
eprint={2305.01526},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

# 数据集卡片：华佗26M测试数据集

## 数据集说明
- **主页：https://www.huatuogpt.cn/**
- **代码仓库：https://github.com/FreedomIntelligence/Huatuo-26M**
- **相关论文：https://arxiv.org/abs/2305.01526**
- **排行榜：**
- **联系方式：**

### 数据集概述
我们荣幸地发布本评测数据集，其作为华佗26M（Huatuo-26M）数据集的子集予以开源。本数据集包含6000条数据条目，已被用于我们在相关研究论文中的自然语言生成（Natural Language Generation）实验。

我们诚挚邀请研究人员与开发者使用本评测数据集，对其自有模型的性能进行评估。该数据集不仅可用于评测模型生成回复的准确性与相关性，亦为探究模型理解与生成复杂医学语言的专业能力提供了宝贵契机。

注意：所有数据条目均已完成匿名化处理以保护患者隐私，且严格遵循数据保护与隐私相关法规要求。

## 引用

@misc{li2023huatuo26m,
title={Huatuo-26M, a Large-scale Chinese Medical QA Dataset},
author={Jianquan Li and Xidong Wang and Xiangbo Wu and Zhiyi Zhang and Xiaolong Xu and Jie Fu and Prayag Tiwari and Xiang Wan and Benyou Wang},
year={2023},
eprint={2305.01526},
archivePrefix={arXiv},
primaryClass={cs.CL}
}

搜集汇总

背景与挑战

背景概述

huatuo26M-testdatasets是一个包含6,000个条目的医学问答数据集，用于评估模型在自然语言生成（NLG）任务中的表现，特别是在理解和生成复杂医学语言方面的能力。数据集经过匿名化处理，确保符合数据保护和隐私法规。