Update README.md

README.md

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+---
+annotations_creators: [human-generated]
+language: [en]
+license: mit
+multilinguality: monolingual
+pretty_name: Empathic Conversations
+size_categories: [10K<n<100K]
+source_datasets: []
+task_categories: [conversational]
+task_ids: [dialogue-modeling, empathetic-response-generation]
+---
+
 # 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.
+**EmpathicConversations** is a human-curated dataset designed to train and evaluate conversational AI systems that offer emotionally intelligent, supportive, and non-judgmental responses in therapeutic settings.
 
 ## 🧠 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.
+This dataset serves as a foundation for building AI therapy assistants and mental wellness chatbots. It emphasizes empathy, active listening, and emotional support, aiming to make AI more compassionate and context-aware in sensitive conversations.
 
 ## 📁 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.
+  - `context` (string): The user's emotionally loaded input or concern.
+  - `response` (string): A thoughtful, helpful, and empathetic AI response.
 
 ### Example
 
@@ -21,20 +33,22 @@ This dataset serves as a foundation for building AI-powered mental health suppor
 
 ## ⚙️ Use Cases
 
-- Fine-tuning conversational models for mental health support.
-- Studying emotional intelligence in language models.
-- Creating safer, more responsible chatbot applications.
+- Fine-tuning conversational LLMs for therapy assistance.
+- Creating emotionally sensitive dialogue agents.
+- Researching AI emotional intelligence and ethical chatbot development.
 
-> ⚠️ **Disclaimer**: This dataset is not a substitute for professional mental health care. Responses are generated for research and educational purposes only.
+> ⚠️ **Disclaimer**: This dataset is intended for research and educational purposes. It is **not a substitute for professional mental health care**.
 
 ## 🪪 License
 
-MIT License – free to use, share, and modify.
+This dataset is released under the MIT License — free to use, modify, and share.
 
-## 🧑‍💻 Author
+## 👤 Author
 
-- **Hugging Face username**: [`samdak93`](https://huggingface.co/samdak93)
+**Mohamed Elaakeb (samdak93)**  
+Hugging Face: [@samdak93](https://huggingface.co/samdak93)  
+Role: Dataset Creator & Curator
 
 ---
 
-Feel free to cite or build upon this dataset. Contributions and feedback are welcome!
+If you use this dataset in your work, feel free to cite it or reach out with feedback and contributions!