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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": [""]} ],
}
```
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