Datasets:

UEC-InabaLab
/

KokoroChat

Tasks:

Text Generation

Text Classification

Modalities:

Formats:

Languages:

Size:

Tags:

dialogue-corpus

dialogue-system

Libraries:

License:

Dataset card Data Studio Files Files and versions

ZhiyangQi97 commited on Jul 23

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@@ -22,7 +22,7 @@ size_categories:
 [![CC BY-NC-ND 4.0](https://img.shields.io/badge/License-CC%20BY--NC--ND%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-nd/4.0/)
 [![Model](https://img.shields.io/badge/🤗_Hugging_Face-Model-ffcc66.svg)](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-High)
 [![GitHub Pages](https://img.shields.io/badge/GitHub%20Pages-121013?logo=github&logoColor=white)](https://github.com/UEC-InabaLab/KokoroChat)
-[![arXiv](https://img.shields.io/badge/arXiv-2506.01357-b31b1b)](https://arxiv.org/abs/2506.01357)
@@ -31,7 +31,7 @@ size_categories:
 **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 (arXiv)](https://arxiv.org/abs/2506.01357)
 ---

 [![CC BY-NC-ND 4.0](https://img.shields.io/badge/License-CC%20BY--NC--ND%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-nd/4.0/)
 [![Model](https://img.shields.io/badge/🤗_Hugging_Face-Model-ffcc66.svg)](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-High)
 [![GitHub Pages](https://img.shields.io/badge/GitHub%20Pages-121013?logo=github&logoColor=white)](https://github.com/UEC-InabaLab/KokoroChat)
+[![ACL 2025](https://img.shields.io/badge/ACL--2025-Paper-4b6ea9)](https://aclanthology.org/2025.acl-long.608/)
 **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](https://aclanthology.org/2025.acl-long.608/)
 ---