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.