| | --- |
| | dataset_info: |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: image |
| | list: |
| | image: |
| | mode: RGBA |
| | - name: source |
| | dtype: string |
| | - name: problem |
| | dtype: string |
| | - name: solution |
| | dtype: string |
| | splits: |
| | - name: test |
| | num_bytes: 1226261011 |
| | num_examples: 2451 |
| | - name: train |
| | num_bytes: 22901597169 |
| | num_examples: 51335 |
| | download_size: 47058109860 |
| | dataset_size: 24127858180 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: test |
| | path: data/test-* |
| | - split: train |
| | path: data/train-* |
| | license: cc |
| | task_categories: |
| | - image-text-to-text |
| | language: |
| | - en |
| | tags: |
| | - medical |
| | - biology |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | |
| | # MediX-R1: Open-Ended Medical Reinforcement Learning |
| |
|
| | <p align="center"> |
| | <img src="https://huggingface.co/MBZUAI/MediX-R1-30B/resolve/main/assets/logo_white_no_bg.png" alt="MediX-R1" width="200"> |
| | </p> |
| | |
| | <p align="center"> |
| | <img src="https://i.imgur.com/waxVImv.png" alt="MediX-R1"> |
| | </p> |
| | |
| | #### **Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE** |
| |
|
| | [](https://medix.cvmbzuai.com) |
| | [](https://arxiv.org/pdf/2602.23363) |
| | [](https://huggingface.co/collections/MBZUAI/medix-r1) |
| | [](https://medix.cvmbzuai.com/leaderboard) |
| |
|
| | --- |
| |
|
| | ## Model Zoo |
| |
|
| | | Model | HuggingFace | |
| | |-------|-------------| |
| | | MediX-R1-2B | [MBZUAI/MediX-R1-2B](https://huggingface.co/MBZUAI/MediX-R1-2B) | |
| | | MediX-R1-8B | [MBZUAI/MediX-R1-8B](https://huggingface.co/MBZUAI/MediX-R1-8B) | |
| | | MediX-R1-30B | [MBZUAI/MediX-R1-30B](https://huggingface.co/MBZUAI/MediX-R1-30B) | |
| |
|
| | --- |
| |
|
| | ## Citation |
| |
|
| | If you use MediX-R1 in your research, please cite our work as follows: |
| |
|
| | ```bibtex |
| | @misc{mullappilly2026medixr1openendedmedical, |
| | title={MediX-R1: Open Ended Medical Reinforcement Learning}, |
| | author={Sahal Shaji Mullappilly and Mohammed Irfan Kurpath and Omair Mohamed and Mohamed Zidan and Fahad Khan and Salman Khan and Rao Anwer and Hisham Cholakkal}, |
| | year={2026}, |
| | eprint={2602.23363}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CV}, |
| | url={https://arxiv.org/abs/2602.23363}, |
| | } |
| | ``` |
| |
|
| | --- |
| |
|
| | ## License |
| |
|
| | This project is released for **research purposes only** under [*CC-BY-NC-SA 4.0*](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.en) License. It is not intended for clinical or commercial use. |
| |
|
| | Users are urged to employ MediX-R1 responsibly, especially when applying its outputs in real-world medical scenarios. It is imperative to verify the model's advice with qualified healthcare professionals and not rely on it for medical diagnoses or treatment decisions. |
| |
|
| | --- |
| |
|
| | ## Acknowledgements |
| |
|
| | We are thankful to [EasyR1](https://github.com/hiyouga/EasyR1) (a fork of [veRL](https://github.com/volcengine/verl)) for their open-source RL training framework. |
| |
|
| | This work was partially supported with *NVIDIA Academic Grant 2025* and *MBZUAI-IITD* Research Collaboration Seed Grant. |
| |
|
| | We are grateful to [MBZUAI](https://mbzuai.ac.ae/) for compute and support. |
| |
|
| |
|