Update README.md

README.md

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 This work has been **accepted to the main conference of ACL 2025**.
 📄 [View Paper (PDF)](https://drive.google.com/file/d/1T6XgvZii8rZ1kKLgOUGqm3BMvqQAvxEM/view?usp=sharing)
 
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 ## 🌟 Key Features
 
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 - 20-dimension Likert-scale client feedback for every session
 - Broad topic coverage: mental health, school, family, workplace, romantic issues, etc.
 
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 ## 📊 Dataset Statistics
 
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 | **Avg. utterances/dialogue** | 91.20     | 46.52     | 44.69     |
 | **Avg. length/utterance**  | 28.39     | 35.84     | 20.63     |
 
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 ## 📁 Dataset Structure
 
 Each sample contains:
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 👉 See the `kokorochat_dialogues` folder for the complete dataset.
 
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+## 🤖 Models Trained on KokoroChat
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+The following models were fine-tuned on subsets of the KokoroChat dataset with different feedback score ranges:
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+- [**KokoroChat-Low**](https://huggingface.co/UEC-InabaLab/KokoroChat-Low):  
+  Fine-tuned on **3,870 dialogues** with client feedback scores **< 70**
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+- [**KokoroChat-High**](https://huggingface.co/UEC-InabaLab/KokoroChat-High):  
+  Fine-tuned on **2,601 dialogues** with scores between **70 and 98**
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+- [**KokoroChat-Full**](https://huggingface.co/UEC-InabaLab/KokoroChat-Full):  
+  Fine-tuned on **6,471 dialogues** (excluding 118 test samples with score ≥ 99), with scores **≤ 98**
+
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 ## 📄 Citation
 
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 }
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 ## ⚖️ 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.