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Datasets:
MBZUAI
/
medix-rl-data

Tasks:
Image-Text-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
medical
biology
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
Community
1
medix-rl-data
File size: 3,216 Bytes
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---
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**

[![Website](https://img.shields.io/badge/Project-Website-87CEEB)](https://medix.cvmbzuai.com)
[![Paper](https://img.shields.io/badge/arXiv-Paper-red.svg)](https://arxiv.org/pdf/2602.23363)
[![HuggingFace](https://img.shields.io/badge/HuggingFace-Page-F9D371)](https://huggingface.co/collections/MBZUAI/medix-r1)
[![Leaderboard](https://img.shields.io/badge/MediX-Leaderboard-green)](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.