--- dataset_info: - config_name: anatomy-ct features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: modality dtype: string - name: patient_id dtype: string - name: target dtype: int32 - name: image list: list: int16 - name: mask list: list: bool splits: - name: train num_bytes: 3007248035 num_examples: 23096 - name: val num_bytes: 152193091 num_examples: 1200 - name: test num_bytes: 209965318 num_examples: 1554 download_size: 2355992488 dataset_size: 3369406444 - config_name: anatomy-mri features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: int32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: int16 - name: mask list: list: bool splits: - name: train num_bytes: 4090044515 num_examples: 14197 - name: val num_bytes: 474039930 num_examples: 1559 - name: test num_bytes: 374132018 num_examples: 1259 download_size: 2915576386 dataset_size: 4938216463 - config_name: covidx-ct features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int64 - name: pixel_spacing_x dtype: float64 - name: pixel_spacing_y dtype: float64 - name: slice_thickness dtype: float64 - name: patient_id dtype: string - name: target dtype: int64 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: mask_filename dtype: string - name: image list: list: float32 - name: mask dtype: 'null' splits: - name: train num_bytes: 37812895523 num_examples: 35748 - name: val num_bytes: 3547646273 num_examples: 3367 - name: test num_bytes: 3581713974 num_examples: 3374 download_size: 9242613609 dataset_size: 44942255770 - config_name: deep-lesion-site features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int64 - name: pixel_spacing_x dtype: float64 - name: pixel_spacing_y dtype: float64 - name: slice_thickness dtype: float64 - name: modality dtype: string - name: patient_id dtype: string - name: target dtype: int64 - name: raw_target dtype: string - name: image list: list: float32 - name: mask list: list: float32 splits: - name: train num_bytes: 5505019129 num_examples: 2610 - name: val num_bytes: 2566286625 num_examples: 1220 - name: test num_bytes: 2565764632 num_examples: 1221 download_size: 1845165457 dataset_size: 10637070386 - config_name: emidec-classification-mask features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: int32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: int16 - name: mask list: list: uint8 splits: - name: train num_bytes: 75412392 num_examples: 562 - name: val num_bytes: 8854211 num_examples: 73 - name: test num_bytes: 8279163 num_examples: 72 download_size: 45267403 dataset_size: 92545766 - config_name: ixi features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: float32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: int16 - name: mask dtype: 'null' splits: - name: train num_bytes: 332222990 num_examples: 4279 - name: val num_bytes: 68222176 num_examples: 880 - name: test num_bytes: 80255956 num_examples: 1034 download_size: 328877695 dataset_size: 480701122 - config_name: kits features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: int32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: int16 - name: mask list: list: bool splits: - name: train num_bytes: 182285449 num_examples: 324 - name: val num_bytes: 37042750 num_examples: 66 - name: test num_bytes: 80820588 num_examples: 144 download_size: 190639279 dataset_size: 300148787 - config_name: kneeMRI features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: int32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: list: int16 - name: mask list: list: list: int16 splits: - name: train num_bytes: 1502718092 num_examples: 733 - name: val num_bytes: 188416480 num_examples: 92 - name: test num_bytes: 188659984 num_examples: 92 download_size: 430646992 dataset_size: 1879794556 - config_name: luna16 features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: int32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: int16 - name: mask list: list: int16 splits: - name: train num_bytes: 355835106 num_examples: 338 - name: val num_bytes: 177917547 num_examples: 169 - name: test num_bytes: 178970321 num_examples: 170 download_size: 230576160 dataset_size: 712722974 - config_name: luna16-3D features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int32 - name: pixel_spacing_x dtype: float32 - name: pixel_spacing_y dtype: float32 - name: slice_thickness dtype: float32 - name: patient_id dtype: string - name: target dtype: int32 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: image list: list: list: int16 - name: mask list: list: list: int16 splits: - name: train num_bytes: 4254440674 num_examples: 338 - name: val num_bytes: 2127220331 num_examples: 169 - name: test num_bytes: 2139807441 num_examples: 170 download_size: 2287903515 dataset_size: 8521468446 - config_name: oasis features: - name: series_id dtype: string - name: filename dtype: string - name: slice_location dtype: int64 - name: pixel_spacing_x dtype: float64 - name: pixel_spacing_y dtype: float64 - name: slice_thickness dtype: float64 - name: patient_id dtype: string - name: target dtype: int64 - name: modality dtype: string - name: raw_target dtype: string - name: original_slice_ID dtype: string - name: mask_filename dtype: string - name: image list: list: list: float32 - name: mask dtype: 'null' splits: - name: train num_bytes: 14653591629 num_examples: 348 - name: val num_bytes: 1852752976 num_examples: 44 - name: test num_bytes: 1852752955 num_examples: 44 download_size: 2989008001 dataset_size: 18359097560 configs: - config_name: anatomy-ct data_files: - split: train path: anatomy-ct/train-* - split: val path: anatomy-ct/val-* - split: test path: anatomy-ct/test-* - config_name: anatomy-mri data_files: - split: train path: anatomy-mri/train-* - split: val path: anatomy-mri/val-* - split: test path: anatomy-mri/test-* - config_name: covidx-ct data_files: - split: train path: covidx-ct/train-* - split: val path: covidx-ct/val-* - split: test path: covidx-ct/test-* - config_name: deep-lesion-site data_files: - split: train path: deep-lesion-site/train-* - split: val path: deep-lesion-site/val-* - split: test path: deep-lesion-site/test-* - config_name: emidec-classification-mask data_files: - split: train path: emidec-classification-mask/train-* - split: val path: emidec-classification-mask/val-* - split: test path: emidec-classification-mask/test-* - config_name: ixi data_files: - split: train path: ixi/train-* - split: val path: ixi/val-* - split: test path: ixi/test-* - config_name: kits data_files: - split: train path: kits/train-* - split: val path: kits/val-* - split: test path: kits/test-* - config_name: kneeMRI data_files: - split: train path: kneeMRI/train-* - split: val path: kneeMRI/val-* - split: test path: kneeMRI/test-* - config_name: luna16 data_files: - split: train path: luna16/train-* - split: val path: luna16/val-* - split: test path: luna16/test-* - config_name: luna16-3D data_files: - split: train path: luna16-3D/train-* - split: val path: luna16-3D/val-* - split: test path: luna16-3D/test-* - config_name: oasis data_files: - split: train path: oasis/train-* - split: val path: oasis/val-* - split: test path: oasis/test-* ---
Raidium

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CuriaBench; Benchmark for the paper Curia: A Multi-Modal Foundation Model for Radiology

Raidium
## Usage This repo contains evaluation datasets fro mthe Curia paper https://arxiv.org/abs/2509.06830. You can run the curia evaluation pipeline using our github repo at https://github.com/raidium-med/curia. The Curia-B model is available on huggingface: https://huggingface.co/raidium/curia ## Acknowledgments The benchmark has been built from the following public datasets: - CT Organ Recognition β€” TotalSegmentator (CT) β€” Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator - MRI Organ Recognition β€” TotalSegmentator MRI β€” D’Antonoli et al., arXiv:2405.19492, 2024. https://arxiv.org/abs/2405.19492 - Cross-Modality Organ Recognition β€” TotalSegmentator CT & MRI β€” Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator - Neuroimaging Age Estimation β€” IXI Dataset β€” Brain Development Project. https://brain-development.org/ixi-dataset/ - Lung Nodule Malignancy β€” LUNA16 β€” Setio et al., Med. Image Anal., 2017. https://luna16.grand-challenge.org/ - Kidney Lesion Malignancy β€” KiTS23 β€” Heller et al., arXiv:2307.01984, 2023. https://kits-challenge.org/ - Tumor Localisation β€” DeepLesion β€” Yan et al., J. Med. Imaging, 2018. https://nihcc.app.box.com/v/DeepLesion - ACL Tear β€” KneeMRI dataset β€” Ε tajduhar et al., Comput. Methods Programs Biomed., 2017. https://zenodo.org/records/14789903 - Myocardial Infarction β€” EMIDEC β€” MICCAI 2020 Challenge. https://emidec.com/ - Stroke β€” ATLAS v2.0 β€” Liew et al., Front. Neuroinform., 2022. https://fcon_1000.projects.nitrc.org/indi/retro/atlas.html - Alzheimer’s Disease β€” OASIS-1 β€” Marcus et al., J. Cogn. Neurosci., 2007. https://www.oasis-brains.org/ - Pulmonary Infections β€” COVIDx CT β€” Gunraj et al., Front. Med., 2021. https://github.com/haydengunraj/COVIDNet-CT/blob/master/docs/dataset.md ## Cite our paper ``` @article{dancette2025curia, title={Curia: A Multi-Modal Foundation Model for Radiology}, author={Dancette, Corentin and Khlaut, Julien and Saporta, Antoine and Philippe, Helene and Ferreres, Elodie and Callard, Baptiste and Danielou, Th{\'e}o and Alberge, L{\'e}o and Machado, L{\'e}o and Tordjman, Daniel and others}, journal={arXiv preprint arXiv:2509.06830}, year={2025} } ```