task_categories:question-answering task_categories:text-generation language:en license:apache-2.0 size_categories:n<1K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars arxiv:2402.18060 region:us medical
---
license: apache-2.0
task_categories:
- question-answering
- text-generation
language:
- en
tags:
- medical
---
This dataset was created based on the format specified in the paper **[Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions](https://arxiv.org/abs/2402.18060)** by Hanjie Chen, Zhouxiang Fang, Yash Singla, and Mark Dredze. 

- **Original Paper**: [Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions](https://arxiv.org/abs/2402.18060)
- **Authors**: Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze

If you use this dataset format, please consider citing the original paper as follows:

## Citation Information

```
@misc{chen2024benchmarkinglargelanguagemodels,
      title={Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions}, 
      author={Hanjie Chen and Zhouxiang Fang and Yash Singla and Mark Dredze},
      year={2024},
      eprint={2402.18060},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2402.18060}, 
}

```