https://github.com/thu-coai/PsyQA

一个中文心理健康支持问答数据集，提供了丰富的援助策略标注。可用于生成富有援助策略的长咨询文本。
https://github.com/thu-coai/PsyQA

Last synced: 19 days ago
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一个中文心理健康支持问答数据集，提供了丰富的援助策略标注。可用于生成富有援助策略的长咨询文本。

• Host: GitHub
• URL: https://github.com/thu-coai/PsyQA
• Owner: thu-coai
• Created: 2021-06-14T16:08:26.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-07-21T11:21:39.000Z (7 months ago)
• Last Synced: 2024-10-05T11:01:57.777Z (5 months ago)
• Homepage:
• Size: 300 KB
• Stars: 164
• Watchers: 5
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PsyQA

一个中文心理健康支持问答数据集，提供了丰富的援助策略标注。可用于生成富有援助策略的长咨询文本。

This repo is for the paper: **PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support**

Accepted by Finding of ACL 2021 [arxiv paper link](https://arxiv.org/abs/2106.01702)

## 获取PsyQA | Access to PsyQA

我们提供了少部分PsyQA的样例（PsyQA_example.json）

如需要完整数据集，请下载【PsyQA数据集使用用户协议】并阅读相关规定。如您同意规定，请在用户协议中填写相关用户信息，【授权时间】，并在协议最后【电子签名】，将pdf格式的用户协议发送到邮箱 

[email protected]。 我们在审核后会通过邮件发送完整的数据集的下载链接。

The English version of PsyQA user agreement is soon coming.

训练代码我们参考了项目https://github.com/Morizeyao/GPT2-Chinese

评测代码我们参考了代码https://github.com/GrittyChen/NLG-evaluation

## 引用 | citing

Please kindly cite our paper if this paper and the dataset are helpful.

```

@inproceedings{sun-etal-2021-psyqa,

    title = "PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support",

    author = "Sun, Hao  and

      Lin, Zhenru  and

      Zheng, Chujie  and

      Liu, Siyang  and

      Huang, Minlie",

    booktitle = "Findings of the Association for Computational Linguistics: ACL 2021",

    year = "2021",

}

```

## 联系方式 | Contact Info

如您对论文或数据集获取有任何疑问，欢迎联系

孙豪 [email protected]