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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'Age', 'Code_Label', 'Sex', 'ECG_ID', 'Location', 'Method'}) and 2 missing columns ({'label', 'name'}).
This happened while the csv dataset builder was generating data using
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'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Glaucoma/VEIRC/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/BOE/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/BOE/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/BOE/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCT-C8/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCT-C8/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCT-C8/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCT2017/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCT2017/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCT2017/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCTDL/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCTDL/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCTDL/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCTID/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCTID/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-OCT/OCTID/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/Derm7pt/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/Derm7pt/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/Derm7pt/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/HAM10000/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/HAM10000/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/HAM10000/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/ISIC_2019/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/ISIC_2019/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/ISIC_2019/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/PAD-UFES-20/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/PAD-UFES-20/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-Skin/PAD-UFES-20/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/India/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/India/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/India/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/MC/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/MC/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/MC/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/Pakistan/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/Pakistan/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/Pakistan/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/Shenzhen/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/Shenzhen/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/Shenzhen/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/TBX11K/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/TBX11K/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-TB/TBX11K/train_seed2.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
ECG_ID: int64
Code_Label: string
Age: int64
Sex: string
Method: int64
Location: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 925
to
{'name': Value('string'), 'label': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'Age', 'Code_Label', 'Sex', 'ECG_ID', 'Location', 'Method'}) and 2 missing columns ({'label', 'name'}).
This happened while the csv dataset builder was generating data using
hf://datasets/FL-MedClsBench/FL-MedClsBench-sample/FL-ECG/G12EC/ECG/preprocessed/train_seed0.csv (at revision 5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0), ['hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center1/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center1/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center1/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center2/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center2/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center2/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center3/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center3/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center3/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center4/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center4/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-BCa/Center4/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client1/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client1/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client1/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client2/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client2/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client2/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client3/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client3/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client3/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client4/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client4/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client4/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client5/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client5/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-CT/Client5/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/GZ/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/GZ/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/GZ/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/Pakistani/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/Pakistani/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/Pakistani/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/QU/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/QU/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/QU/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/SIIM/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/SIIM/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/SIIM/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/UMontreal/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/UMontreal/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-COVID-XR/UMontreal/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/APTOS/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/APTOS/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/APTOS/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/DRD/train_seed0.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/DRD/train_seed1.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/DRD/train_seed2.csv', 'hf://datasets/FL-MedClsBench/FL-MedClsBench-sample@5beb5aedd74c0fcc0ac13966eae8c47cc45d8ce0/FL-DR/IDRiD/train_seed0.csv', 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End of preview.
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
@inproceedings{fl_medclsbench2026,
title={Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification},
year={2026}
}
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