momomomomozi/huatuo26M-testdatasets

---
license: apache-2.0
task_categories:
- text-generation
language:
- zh
tags:
- medical
size_categories:
- 1K<n<10K
---
# 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}
}
```

---
许可证：Apache 2.0
任务类别：
- 文本生成
语言：
- 中文
标签：
- 医疗
样本量范围：
- 1000 < 样本量 < 10000
---
# 「huatuo26M-testdatasets」数据集卡片

## 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：**
- **联系人：**

### 数据集概况
我们荣幸地宣布推出本评估数据集，其为华佗26M（Huatuo-26M）数据集的一个子集。本数据集包含6000条数据样本，我们在关联研究论文中将其用于自然语言生成（Natural Language Generation，NLG）相关实验。

我们鼓励研究人员与开发者使用本评估数据集，以测评自身模型的性能。这不仅可用于评估模型生成回复的准确性与相关性，还可用于探究模型理解与生成复杂医疗文本的能力。

注意：所有数据样本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。

## 引用格式

@misc{li2023huatuo26m,
title={华佗26M：大规模中文医疗问答数据集},
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}
}