README.md

metadata

task_categories:
  - image-to-text
tags:
  - medical
  - radiology
  - chest-xray

REVA-PO Datasets

This repository contains the processed annotations and dataset structures used in the paper REVA-PO: Stabilizing Reinforcement Learning for Chest X-ray Report Generation (ECCV 2026).

Paper (arXiv) | Code (GitHub)

Dataset Structure

1. IU-Xray

Download the IU-Xray files and unzip images.zip.

After unzipping, the directory structure should look like this:

iuxray_dataset/
├── images/
└── annotation_with_categories.json

2. MIMIC-CXR

Download the chest X-ray images of the MIMIC-CXR dataset from the official PhysioNet website, and download the annotations from this repository.

Place the annotations and images (files directory from PhysioNet) into the same folder:

mimic_dataset/
├── files/
├── mimic_with_categories.json
└── mimic_with_categories_sampled_10k.json

Citation

If you find this work or the datasets helpful, please cite the paper:

@misc{guo2026revapo,
      title={REVA-PO: Stabilizing Reinforcement Learning for Chest X-ray Report Generation}, 
      author={Li Guo and Anas M. Tahir and Z. Jane Wang},
      year={2026},
      eprint={2607.10147},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2607.10147}, 
}