sdu-chenxin/MDS-Bench-data

MDS-Bench Raw Data

Raw input data for MDS-Bench, a benchmark that tests whether AI agents can organize heterogeneous medical imaging datasets into a unified image + JSON format.

It contains 100 public medical imaging datasets (CT, MRI, microscopy, X-ray, ultrasound, endoscopy, ...; DICOM, NIfTI, TIFF, H5, MAT, ...), about 2 TB in total.

Layout

origin_dataset/<dataset_name>/data/...   # 8 datasets
second_dataset/<dataset_name>/data/...   # 34 datasets
third_dataset/<dataset_name>/data/...    # 22 datasets
forth_dataset/<dataset_name>/data/...    # 22 datasets
fifth_dataset/<dataset_name>/data/...    # 14 datasets

Numeric dataset_names are Zenodo record IDs.

Download

hf download sdu-chenxin/MDS-Bench-data --repo-type dataset \
  --include "fifth_dataset/LCTSC/data/*" --local-dir ./MDS-Bench-data

Notes

• second_dataset/fomo-mri: because of the Hub limit of 1,000,000 files per repository, part of fomo-60k/ is packed into fomo-60k-shards/shard_000.tar ... shard_038.tar. Extract them into the same data/ folder (tar -xf shard_XXX.tar -C data/) to restore the full dataset; INDEX.tsv lists which shard each file is in.
• third_dataset/brats2020-training-data and fifth_dataset/rsna-pneumonia-detection-challenge have some files moved into subfolders because of the Hub limit of 10,000 files per folder.

License

Each dataset keeps its original license and terms of use. Please check the original source and cite the original authors when using a dataset.