This repository documents the three medical datasets used by the TriPAH implementation: ODIR-5K, IU-Xray, and MIMIC-CXR. This revision contains dataset documentation and preparation instructions only. It does not contain the underlying images, clinical reports, row-level labels, patient identifiers, or prompt embeddings.

Dataset availability

Dataset	Current prepared rows	Labels	Public distribution in this revision
ODIR-5K	3,500	8	Source and preparation instructions
IU-Xray	3,820	14	Source and preparation instructions; Open-i asks users not to share outside their research group/organization
MIMIC-CXR	216,320	14	Credentialed source and preparation instructions; no restricted records are redistributed

The row counts describe the current local preprocessing artifacts. They are not a replacement for the manuscript's dataset statistics or a claim that the published results were rerun with this release.

Expected training layout

After obtaining source data through the appropriate provider and running the project converters, each dataset is expected at TriPAH/dataset/<name>/:

dataset/<name>/
├── images/
├── caption.txt
├── index.mat
├── label.mat
├── prompt_caption.npz
└── dataset_info.json

The image index, captions, labels, and prompts must have matching row order. The inspected main prompt arrays have shape [N, 77, 512] and dtype float32. The current code performs a seeded sample-wise split; users must match their training and evaluation splits and should not infer patient-disjoint separation from this layout alone.

See the repository data preparation guide and each dataset folder for source-specific instructions.

Access and licensing

The repository's pre-existing license metadata is retained. It does not grant a new license to any upstream dataset. Dataset access, redistribution, and reuse remain governed by the original providers. Source code is licensed separately in the GitHub repository.

ODIR-5K: obtain the data and applicable terms from the official ODIR challenge.
IU-Xray: follow the Open-i collection instructions, including its request not to share the collection outside the research group/organization.
MIMIC-CXR: each researcher must obtain PhysioNet credentialed access and sign the data use agreement. The agreement restricts sharing access to the data, and PhysioNet's guidance on derived resources directs authors to share them through PhysioNet under the source agreement. Preprocessing alone does not establish permission for unrestricted redistribution.

Citation

@article{bian2026tripah,
  title={TriPAH: Imbalance-Aware Tri-Prompt Affinity Hashing for Cross-Modal Medical Retrieval},
  author={Bian, Jiaming and Li, Songming and Song, Yurui and Chen, Yunfei and Cao, Yichao and Long, Jun},
  journal={arXiv preprint arXiv:2606.27010},
  year={2026}
}

Please also cite the original dataset publications when using their data.

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Paper for Jiaminggod/TriPAH

TriPAH: Imbalance-Aware Tri-Prompt Affinity Hashing for Cross-Modal Medical Retrieval

Paper • 2606.27010 • Published Jun 25