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README.md

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-license: mit
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+# EmpathicConversations
+
+EmpathicConversations is a dataset designed to train and evaluate conversational AI systems that can provide supportive, empathetic, and emotionally aware responses in therapeutic contexts.
+
+## 🧠 Purpose
+
+This dataset serves as a foundation for building AI-powered mental health support tools, particularly therapy assistants and chatbots. It focuses on emotional understanding, non-judgmental support, and helpful suggestions.
+
+## 📁 Dataset Structure
+
+- **Split**: `train`
+- **Fields**:
+  - `context` (string): The user's message expressing emotional or psychological concerns.
+  - `response` (string): A thoughtful, supportive, and helpful response from the AI assistant.
+
+### Example
+
+| Context | Response |
+|--------|----------|
+| I'm going through some things with my feelings and myself. I barely sleep and I do nothing but think... | First thing I'd suggest is getting the sleep you need or it will impact how you think and feel. I'd look at... |
+
+## ⚙️ Use Cases
+
+- Fine-tuning conversational models for mental health support.
+- Studying emotional intelligence in language models.
+- Creating safer, more responsible chatbot applications.
+
+> ⚠️ **Disclaimer**: This dataset is not a substitute for professional mental health care. Responses are generated for research and educational purposes only.
+
+## 🪪 License
+
+MIT License – free to use, share, and modify.
+
+## 🧑‍💻 Author
+
+- **Hugging Face username**: [`samdak93`](https://huggingface.co/samdak93)
+
+---
+
+Feel free to cite or build upon this dataset. Contributions and feedback are welcome!