Create README.md

README.md

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+---
+language:
+- en
+tags:
+- medical
+---
+# MMedS-Bench
+[💻Github Repo](https://github.com/MAGIC-AI4Med/MedS-Ins)   [🖨️arXiv Paper](https://arxiv.org/abs/2408.12547)
+
+The official instruction finetuning dataset for "Towards Evaluating and Building Versatile Large Language Models for Medicine".
+
+
+
+## Introduction
+The MedS-Ins dataset is a meticulously curated instruction-tuning dataset, specifically crafted to enhance the capabilities of large language models (LLMs) in handling complex medical tasks. This dataset draws from a diverse array of text domains, encompassing exams, clinical texts, academic papers, medical knowledge bases, and daily conversations. These domains have been carefully selected to represent a wide spectrum of medical knowledge and interaction, providing a well-rounded foundation for training medical LLMs.
+## Data Format
+The data format is the same as [MedS-Ins](https://huggingface.co/datasets/Henrychur/MedS-Ins).
+```bash
+{
+  "Contributors": [""],
+  "Source": [""],
+  "URL": [""],
+  "Categories": [""],
+  "Reasoning": [""],
+  "Definition": [""],
+  "Input_language": [""], 
+  "Output_language": [""],
+  "Instruction_language": [""],  
+  "Domains": [""],    
+  "Positive Examples": [ { "input": "", "output": "",  "explanation": ""} ], 
+  "Negative Examples": [ { "input": "", "output": "",  "explanation": ""} ],
+  "Instances": [ { "id": "", "input": "", "output": [""]} ],
+}
+```
+