Update README.md

README.md

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 ## Dataset Highlights
  
-- Multimodal: Each sample pairs an auscultation audio clip with metadata and diagnostic question-answer pairs.
-- Diverse: Built from multiple publicly available datasets covering a wide range of respiratory and cardiac conditions.
-- QA-Focused: Enables training and evaluation of audio question-answering models, especially for open-ended diagnostic reasoning tasks.
+- 🧠 **Task Diversification**: Restructured **ECG-QA tasks** promote rapid **few-shot adaptation**.
+- 🧬 **Fusion Mapping**: A lightweight **multimodal mapper** bridges **ECG** and **language features**.
+- 🚀 **Model Generalization**: **LLM-agnostic design** ensures broad **transferability** and **robustness**.
  
 ## Source Datasets