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UEC-InabaLab/KokoroChat

KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors 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… See the full description on the dataset page: https://huggingface.co/datasets/UEC-InabaLab/KokoroChat.

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<div align="center"> <img src="./kokorochatlogo.png" alt="KokoroChat Logo" width="500"/> </div>

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KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors

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.

This work has been accepted to the main conference of ACL 2025. 📄 View Paper


🌟 Key Features

  • 6,589 dialogues, collected between 2020 and 2024
  • Avg. 91.2 utterances per dialogue
  • 480 trained counselors simulating online text-based counseling sessions
  • 20-dimension Likert-scale client feedback for every session
  • Broad topic coverage: mental health, school, family, workplace, romantic issues, etc.

📊 Dataset Statistics

CategoryTotalCounselorClient
# Dialogues6,589--
# Speakers480424463
# Utterances600,939306,495294,444
Avg. utterances/dialogue91.2046.5244.69
Avg. length/utterance28.3935.8420.63

📁 Dataset Structure

Each sample contains:

  • A full counseling dialogue with role labels (counselor / client) and message timestamps
  • Structured client feedback on 20 dimensions (0–5 Likert scale)
  • Flags for ethical concern checks (optional)
  • Predicted topic label (automatically annotated by GPT-4o-mini)

👉 See the kokorochat_dialogues folder for the complete dataset.


🤖 Models Trained on KokoroChat

The following models were fine-tuned on subsets of the KokoroChat dataset with different feedback score ranges:


📄 Citation

If you use this dataset, please cite the following paper:

bibtex
@inproceedings{qi2025kokorochat,
  title     = {KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors},
  author    = {Zhiyang Qi and Takumasa Kaneko and Keiko Takamizo and Mariko Ukiyo and Michimasa Inaba},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics},
  year      = {2025},
  url       = {https://github.com/UEC-InabaLab/KokoroChat}
}

⚖️ License

KokoroChat is released under the **Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)** license.

[![CC BY-NC-ND 4.0][cc-by-nc-nd-image]][cc-by-nc-nd]

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