Datasetpublic

FL-MedClsBench/FL-MedClsBench-sample

FL-MedClsBench — Representative Sample Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification This is a representative sample of the full FL-MedClsBench dataset (>14 GB). Sampling Methodology Images: 5 samples randomly selected per client (seed=42) FL-BCa (3D NIfTI MRI): 2 volumes per center FL-ECG (HDF5 ECG signals): full dataset included (~7 GB, 3 files) Metadata: All CSV split files (train/val/test × 3 seeds)… See the full description on the dataset page: https://huggingface.co/datasets/FL-MedClsBench/FL-MedClsBench-sample.

sourceHugging Facecc-by-nc-4.0updated 5mo agoView on Hugging Face

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Dataset Card

FL-MedClsBench — Representative Sample

Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification

This is a representative sample of the full FL-MedClsBench dataset (>14 GB).

Sampling Methodology

—Images: 5 samples randomly selected per client (seed=42)
—FL-BCa (3D NIfTI MRI): 2 volumes per center
—FL-ECG (HDF5 ECG signals): full dataset included (~7 GB, 3 files)
—Metadata: All CSV split files (train/val/test × 3 seeds) included in full

Included Datasets

Dataset	Modality	Clients	Task	Full Size
FL-Skin	Dermoscopy	4	8-class skin lesion	~800 MB
FL-OCT	Retinal OCT	5	8-class OCT disease	~1.6 GB
FL-COVID-XR	Chest X-ray	5	3-class COVID-19	~400 MB
FL-COVID-CT	Chest CT	5	3-class COVID-19	~500 MB
FL-ECG	12-lead ECG	3	20-class multilabel	~7 GB
FL-BCa	T2W MRI	4	Binary bladder cancer	~1 GB
FL-DR	Fundus	5	DR grading (5-class)	~640 MB
FL-Glaucoma	Fundus	4	Binary glaucoma	~275 MB
FL-Fetal	Ultrasound	6	6-class fetal plane	~740 MB
FL-TB	Chest X-ray	5	Binary tuberculosis	~1.5 GB

Full Dataset

➡️ https://huggingface.co/datasets/FL-MedClsBench/FL-MedClsBench

Citation

bibtex

@inproceedings{fl_medclsbench2026,
  title={Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification},
  year={2026}
}