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metadata
license: cc-by-nc-nd-4.0
task_categories:
  - text-generation
  - text-classification
language:
  - ja
tags:
  - nlp
  - dialogue
  - dialogue-corpus
  - dialogue-system
size_categories:
  - 100M<n<1B
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CC BY-NC-ND 4.0 Model GitHub Pages arXiv

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. πŸ“„ View Paper (arXiv)


🌟 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.

πŸ“Š Dataset Statistics

Category Total Counselor Client
# Dialogues 6,589 - -
# Speakers 480 424 463
# Utterances 600,939 306,495 294,444
Avg. utterances/dialogue 91.20 46.52 44.69
Avg. length/utterance 28.39 35.84 20.63

πŸ“ 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)

πŸ‘‰ See the kokorochat_dialogues folder for the complete dataset.


πŸ€– Models Trained on KokoroChat

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


πŸ“„ Citation

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

@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}
}

βš–οΈ 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