metadata
language:
- en
tags:
- medical
MMedS-Bench
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.
{
"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": [""]} ],
}