|
|
--- |
|
|
language: |
|
|
- en |
|
|
license: apache-2.0 |
|
|
size_categories: |
|
|
- 100K<n<1M |
|
|
task_categories: |
|
|
- question-answering |
|
|
- text-generation |
|
|
pretty_name: ReasonMed |
|
|
tags: |
|
|
- biology |
|
|
- medical |
|
|
datasets: |
|
|
- lingshu-medical-mllm/ReasonMed |
|
|
base_model: |
|
|
- Qwen/Qwen2.5-7B |
|
|
pipeline_tag: question-answering |
|
|
--- |
|
|
|
|
|
## Citation |
|
|
``` |
|
|
@misc{sun2025reasonmed370kmultiagentgenerated, |
|
|
title={ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning}, |
|
|
author={Yu Sun and Xingyu Qian and Weiwen Xu and Hao Zhang and Chenghao Xiao and Long Li and Yu Rong and Wenbing Huang and Qifeng Bai and Tingyang Xu}, |
|
|
year={2025}, |
|
|
eprint={2506.09513}, |
|
|
archivePrefix={arXiv}, |
|
|
primaryClass={cs.CL}, |
|
|
url={https://arxiv.org/abs/2506.09513}, |
|
|
} |
|
|
``` |
