KokoroChat / README.md
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---
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
---
<div align="center">
<img src="./kokorochat_logo_.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**.
πŸ“„ [View Paper](https://aclanthology.org/2025.acl-long.608/)
---
## 🌟 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:
- [**Llama-3.1-KokoroChat-Low**](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-Low):
Fine-tuned on **3,870 dialogues** with client feedback scores **< 70**
- [**Llama-3.1-KokoroChat-High**](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-High):
Fine-tuned on **2,601 dialogues** with scores between **70 and 98**
- [**Llama-3.1-KokoroChat-Full**](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-Full):
Fine-tuned on **6,471 dialogues** (excluding 118 test samples with score β‰₯ 99), with scores **≀ 98**
- πŸ€– **Score Prediction Model**:
- [Llama-3.1-KokoroChat-ScorePrediction](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-ScorePrediction): fine-tuned to **predict client feedback scores** based on the full counseling dialogue history.
---
## πŸ“„ 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}
}
```
---
## βš–οΈ License
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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