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--- |
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language: |
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- en |
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tags: |
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- medical |
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--- |
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# MMedS-Bench |
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[💻Github Repo](https://github.com/MAGIC-AI4Med/MedS-Ins) [🖨️arXiv Paper](https://arxiv.org/abs/2408.12547) |
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The official instruction finetuning dataset for "Towards Evaluating and Building Versatile Large Language Models for Medicine". |
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## Introduction |
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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. |
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## Data Format |
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The data format is the same as [MedS-Ins](https://huggingface.co/datasets/Henrychur/MedS-Ins). |
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```bash |
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{ |
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"Contributors": [""], |
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"Source": [""], |
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"URL": [""], |
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"Categories": [""], |
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"Reasoning": [""], |
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"Definition": [""], |
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"Input_language": [""], |
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"Output_language": [""], |
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"Instruction_language": [""], |
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"Domains": [""], |
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"Positive Examples": [ { "input": "", "output": "", "explanation": ""} ], |
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"Negative Examples": [ { "input": "", "output": "", "explanation": ""} ], |
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"Instances": [ { "id": "", "input": "", "output": [""]} ], |
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} |
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``` |
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