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} } ```