Update README.md

README.md

@@ -22,8 +22,7 @@ datasets:
 
 ## 💡 Overview
 
-- ✅ Fine-tuned on **6,471 dialogues** with feedback scores ≤ 98  
-  (from the full KokoroChat dataset of 6,589 dialogues; 118 high-score dialogues reserved for testing)
+- ✅ Fine-tuned on **2,601 dialogues** with client feedback scores between **70 and 98**
 - ✅ Data collected through **text-based role-play** by trained counselors 
 - ✅ Covers a wide range of topics: depression, family, school, career, relationships, and more
 - ✅ Base Model: [`tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3`](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3)
@@ -94,8 +93,7 @@ Fine-tuning was performed using **QLoRA** with the following configuration:
 
 ### Dataset Split
 
-- **Training Data**: 6,471 dialogues with feedback scores ≤ 98  
-  *(from the full KokoroChat dataset of 6,589 dialogues; 118 dialogues with scores of 99 or 100 were reserved for testing)*
+- **Training Data**: 2,601 dialogues with feedback scores between 70 and 98  
 - **Train/Validation Split**: 90% train, 10% validation
 
 ### Hyperparameter Settings
@@ -131,5 +129,5 @@ If you use this model or dataset, please cite the following paper:
   - [KokoroChat on GitHub (UEC-InabaLab)](https://github.com/UEC-InabaLab/KokoroChat)
 - 🤖 **Model Variants**:  
   - [KokoroChat-Low](https://huggingface.co/UEC-InabaLab/KokoroChat-Low): fine-tuned on **3,870 dialogues** with client feedback scores **< 70**
-  - [KokoroChat-High](https://huggingface.co/UEC-InabaLab/KokoroChat-High): fine-tuned on **2,601 dialogues** with client feedback scores between **70 and 98**
+  - [KokoroChat-Full](https://huggingface.co/UEC-InabaLab/KokoroChat-Full): fine-tuned on **6,471 dialogues** with client feedback scores **≤ 98**
 - 📄 **Paper**: [ACL 2025 Paper (PDF)](https://drive.google.com/file/d/1T6XgvZii8rZ1kKLgOUGqm3BMvqQAvxEM/view?usp=sharing)