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<img src =" ./image/psychologist.png " width =100px/ >
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</p >
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- # 中文心理健康支持对话数据集 (SmileChat)与大模型(MeChat)
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+ # 中文心理健康支持对话 · 数据集 (SmileChat)与大模型(MeChat)
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<img src =" https://img.shields.io/badge/Version-1.0-brightgreen " /> <img src =" https://img.shields.io/badge/python-3.8+-blue.svg " /> <a href =' https://arxiv.org/pdf/2305.00450.pdf ' ><img src =' https://img.shields.io/badge/ArXiv-2305.00450-red ' ></a >
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+ ### 模型地址
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+ https://huggingface.co/qiuhuachuan/MeChat
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## 项目简介
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_ For more details, see our paper:_ [ smile paper] ( https://arxiv.org/pdf/2305.00450.pdf ' smile paper ')
@@ -30,25 +34,13 @@ _For more details, see our paper:_ [smile paper](https://arxiv.org/pdf/2305.0045
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本项目开源的** 中文心理健康支持模型** 由 ChatGLM2-6B LoRA 指令微调得到。数据集通过扩展** 真实的心理互助 QA** 为多轮的心理健康支持多轮对话,提高了通用语言大模型** 在心理健康支持领域的表现** ,更加符合在长程多轮对话的应用场景。
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- ## SMILE 方法
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+ ## 快速体验
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- 基于 PsyQA 使用 ChatGPT 生成了一轮,并使用自动化过滤:保证轮数不低于 5,符合对话格式,方法如下:
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- <p align =" center " >
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- <img src =" ./image/SMILE_method.png " width =600px/ >
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- </p >
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+ - 术语说明
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- ## 术语说明
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- - client (来访者) == help-seeker (求助者)
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- - counselor (咨询师) == supporter (支持者)
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- ### 模型地址
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- https://huggingface.co/qiuhuachuan/MeChat
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+ - client (来访者) == help-seeker (求助者)
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- ## 快速开始
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+ - counselor (咨询师) == supporter (支持者)
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1 . 配置环境
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