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size_categories:
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- 100M<n<1B
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- dialogue-system
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size_categories:
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- 100M<n<1B
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---
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<div align="center">
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<img src="./images/kokorochat_logo.png" alt="KokoroChat Logo" width="500"/>
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</div>
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[](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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# KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors
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**KokoroChat** is the largest human-collected Japanese psychological counseling dialogue dataset to date (as of June 2025). It was created through role-playing between trained counselors and includes rich, long-form dialogues and detailed client feedback on counseling quality. The dataset supports research on empathetic response generation, dialogue evaluation, and mental health-oriented language modeling.
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This work has been **accepted to the main conference of ACL 2025**.
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📄 [View Paper (PDF)](https://drive.google.com/file/d/1T6XgvZii8rZ1kKLgOUGqm3BMvqQAvxEM/view?usp=sharing)
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## 🌟 Key Features
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- 6,589 dialogues, collected between 2020 and 2024
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- Avg. 91.2 utterances per dialogue
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- 480 trained counselors simulating online text-based counseling sessions
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- 20-dimension Likert-scale client feedback for every session
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- Broad topic coverage: mental health, school, family, workplace, romantic issues, etc.
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## 📊 Dataset Statistics
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| Category | Total | Counselor | Client |
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|----------------------------|-----------|-----------|-----------|
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| **# Dialogues** | 6,589 | - | - |
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| **# Speakers** | 480 | 424 | 463 |
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| **# Utterances** | 600,939 | 306,495 | 294,444 |
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| **Avg. utterances/dialogue** | 91.20 | 46.52 | 44.69 |
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| **Avg. length/utterance** | 28.39 | 35.84 | 20.63 |
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## 📁 Dataset Structure
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Each sample contains:
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- A full counseling dialogue with role labels (counselor / client) and message timestamps
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- Structured client feedback on 20 dimensions (0–5 Likert scale)
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- Flags for ethical concern checks (optional)
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- Predicted topic label (automatically annotated by GPT-4o-mini)
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👉 See the `kokorochat_dialogues` folder for the complete dataset.
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## 📄 Citation
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If you use this dataset, please cite the following paper:
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```bibtex
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@inproceedings{qi2025kokorochat,
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title = {KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors},
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author = {Zhiyang Qi and Takumasa Kaneko and Keiko Takamizo and Mariko Ukiyo and Michimasa Inaba},
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booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics},
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year = {2025},
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url = {https://github.com/UEC-InabaLab/KokoroChat}
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}
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```
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## ⚖️ License
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KokoroChat is released under the [**Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)**](https://creativecommons.org/licenses/by-nc-nd/4.0/) license.
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[![CC BY-NC-ND 4.0][cc-by-nc-nd-image]][cc-by-nc-nd]
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[cc-by-nc-nd]: http://creativecommons.org/licenses/by-nc-nd/4.0/
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[cc-by-nc-nd-image]: https://licensebuttons.net/l/by-nc-nd/4.0/88x31.png
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[cc-by-nc-nd-shield]: https://img.shields.io/badge/License-CC%20BY--NC--ND%204.0-lightgrey.svg
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