Medical Multimodal Classification
Collection
Various vision-language classification tasks for the medical domain • 11 items • Updated
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This dataset contains brain MRI images for tumor classification. The task involves classifying the type of brain tumor present in the imaging scan into one of four classes. 16 reasoning traces were collected for each example in this task by sampling with GPT-4o, available in the responses column. We greatly appreciate and build from the original data source available at https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset
question: The classification question ("Classify the brain tumor in the image")options: Multiple choice options (4 tumor types)answer: The correct tumor classificationimage: Brain MRI imageresponses: Model reasoning responses (in train split)train: Training data with model responsestest: Test data for evaluationfrom datasets import load_dataset
dataset = load_dataset("OctoMed/BrainTumor")
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}
}