Duplicate from GMLHUHE/OpenR1-Psy

Co-authored-by: HU HE <GMLHUHE@users.noreply.huggingface.co>

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README.md

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+---
+license: mit
+language: zh
+tags:
+  - dataset
+  - json
+  - chinese
+pretty_name: PsyLLM 数据集
+size_categories:
+  - 1K<n<10K
+task_categories:
+  - text-generation
+---
+# 🧠 OpenR1-Psy Dataset
+
+**This dataset is introduced in the paper:** [arXiv:2505.15715](https://arxiv.org/pdf/2505.15715v2).
+For further details, please refer to our GitHub repository at [Github](https://github.com/Emo-gml/PsyLLM).
+If you find this Dataset helpful, feel free to ⭐ it! [OpenR1-Psy](https://github.com/Emo-gml/PsyLLM).
+---
+
+## 📘 Overview
+
+**OpenR1-Psy** is a large-scale psychological counseling dataset that integrates **diagnostic reasoning** and **therapeutic reasoning** to train and evaluate large language models for mental health dialogue generation.  
+It goes beyond empathy-focused corpora by incorporating explicit reasoning traces grounded in **DSM/ICD diagnostic standards** and diverse psychotherapy frameworks such as **CBT**, **ACT**, **psychodynamic**, and **humanistic therapy**.
+
+---
+
+## 🔍 Key Features
+
+- 🗂️ **19,302 dialogues** with multi-turn psychological counseling interactions  
+- 🧩 **Joint reasoning–response pairs:** includes diagnostic & therapeutic reasoning traces  
+- 🧠 **Clinically grounded:** aligned with DSM/ICD standards  
+- 💬 **Therapeutic diversity:** CBT, ACT, psychodynamic, humanistic, and integrative approaches  
+- ✅ **Quality-controlled:** multi-dimensional validation for coherence, reasoning completeness, and framework consistency  
+
+---
+
+## 🎯 Use Cases
+
+- Fine-tuning LLMs for **mental health counseling** or **psychological dialogue reasoning**  
+- Evaluating models on **clinical reasoning, empathy, and safety**  
+- Building **interpretable and evidence-based AI counselors** (e.g., PsyLLM)
+
+---
+
+## 📄 Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@article{hu2025beyond,
+  title={Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling},
+  author={Hu, He and Zhou, Yucheng and Si, Juzheng and Wang, Qianning and Zhang, Hengheng and Ren, Fuji and Ma, Fei and Cui, Laizhong},
+  journal={arXiv preprint arXiv:2505.15715},
+  year={2025}
+}
+````
+
+---
+
+## 🧩 License
+
+For **research and educational use only.**
+
+Please ensure compliance with **ethical and legal standards** in mental health AI research.
+
+

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