datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multimodal-ct-radiology-reports
Perle AI Multi-phase CECT and CT with Radiology Reports
Summary
A de-identified CT dataset from Perle AI, paired with the original radiology reports. It supports work on multi-modal medical imaging: phase or pathology classification, report generation from images, and visual question answering.
The release has three configurations:
Config
Modality
Subjects
Pairing
cect_3phase
3-phase contrast-enhanced abdominal CT (DICOM)
5
per-subject text report +… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/multimodal-ct-radiology-reports.omega-multimodal
OMEGA Labs Bittensor Subnet: Multimodal Dataset for AGI Research
Introduction
The OMEGA Labs Bittensor Subnet Dataset is a groundbreaking resource for accelerating Artificial General Intelligence (AGI) research and development. This dataset, powered by the Bittensor decentralized network, aims to be the world's largest multimodal dataset, capturing the vast landscape of human knowledge and creation.
With over 1 million hours of footage and 30 million+ 2-minute… See the full description on the dataset page: https://huggingface.co/datasets/omegalabsinc/omega-multimodal.diabetic-retinopathy-multimodal-progression-africa
DR-Progression — Multimodal 5-Year Diabetic-Retinopathy Risk with Africa-Grounded Synthetic EHR
A multimodal dataset for predicting 5-year diabetic-retinopathy progression and
risk from a fundus image combined with a full systemic electronic health record
(EHR): glycaemic control, diabetes duration, blood pressure, renal function,
comorbidities, treatment, and access-to-care.
Version 1.0.0 · core dr_synth 1.0.0 · part of the DR-Africa dataset
family (see also dr-grading and… See the full description on the dataset page: https://huggingface.co/datasets/macular/diabetic-retinopathy-multimodal-progression-africa.diabetic-retinopathy-multimodal-progression-africa
DR-Progression — Multimodal 5-Year Diabetic-Retinopathy Risk with Africa-Grounded Synthetic EHR
A multimodal dataset for predicting 5-year diabetic-retinopathy progression and
risk from a fundus image combined with a full systemic electronic health record
(EHR): glycaemic control, diabetes duration, blood pressure, renal function,
comorbidities, treatment, and access-to-care.
Version 1.0.0 · core dr_synth 1.0.0 · part of the DR-Africa dataset
family (see also dr-grading and… See the full description on the dataset page: https://huggingface.co/datasets/arkozaini/diabetic-retinopathy-multimodal-progression-africa.multi-species-benchmark
multi-species benchmark
Photographs where 2+ species appear in the same frame. Designed to evaluate
multi-label species identification and steering capabilities of biological
vision-language models. Two sources, unified into one parquet schema.
Sources
inat21_multilabel (299 rows, 147 images)
In-distribution: drawn from iNat21
validation images that already carry an iNat-supplied primary label. We use
InternVL3-AWQ to surface
images that also… See the full description on the dataset page: https://huggingface.co/datasets/dcher95/multi-species-benchmark.ego-implicit-ownership-multiperson
Egocentric Implicit Ownership — Multi-Person Filtered Subset
Two complementary slices for studying implicit object ownership in
first-person video. Both use Claude Opus (claude-jupiter-v1-p) as
the VLM signal, with prompt caching enabled.
Configs at a glance
Config
Source datasets
N
Taxonomy
Filter
Frames
VLM input
default
HD-EPIC + EPIC-KITCHENS-100
564
C
EPIC-SOUNDS / HD-EPIC-Sounds human class (±3 s)
bundled jpgs
3 frames + clip meta + scene graph… See the full description on the dataset page: https://huggingface.co/datasets/Albertmade/ego-implicit-ownership-multiperson.