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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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
📁 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:
- **Llama-3.1-KokoroChat-Low**: Fine-tuned on 3,870 dialogues with client feedback scores < 70
- **Llama-3.1-KokoroChat-High**: Fine-tuned on 2,601 dialogues with scores between 70 and 98
- **Llama-3.1-KokoroChat-Full**: Fine-tuned on 6,471 dialogues (excluding 118 test samples with score ≥ 99), with scores ≤ 98
- 🤖 Score Prediction Model:
- Llama-3.1-KokoroChat-ScorePrediction: fine-tuned to predict client feedback scores based on the full counseling dialogue history.
📄 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}
}⚖️ License
KokoroChat is released under the **Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)** license.
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