OctoMed/MedQA-4options

---
license: apache-2.0
dataset_info:
features:
- name: question
dtype: string
- name: options
sequence: string
- name: answer
dtype: string
- name: responses
sequence: string
splits:
- name: test
num_examples: 1273
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---

# MedQA 4-Option - Medical Question Answering

## Description
This dataset contains medical question answering data with USMLE-style questions in a 4-option multiple choice format. It includes questions designed to test clinical reasoning and medical knowledge. Only the test split is provided; no distilled reasoning traces are included. We greatly appreciate and build from the original data source available at https://huggingface.co/datasets/bigbio/med_qa.

## Data Fields
- `question`: Medical question text
- `options`: Multiple choice answer options (4 choices)
- `answer`: The correct answer
- `responses`: Empty list (no model responses for this split)

## Splits
- `test`: Test data for evaluation

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("OctoMed/MedQA-4options")
```

## Citation

If you find our work helpful, feel free to give us a cite!

```
@article{ossowski2025octomed,
title={OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning},
author={Ossowski, Timothy and Zhang, Sheng and Liu, Qianchu and Qin, Guanghui and Tan, Reuben and Naumann, Tristan and Hu, Junjie and Poon, Hoifung},
journal={arXiv preprint arXiv:2511.23269},
year={2025}
}
```