datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
alive-medical-imaging
ALIVE Medical Imaging QA Dataset
Lecture-derived question-answer corpus, retrieval index, and source
materials for the ALIVE (Avatar-Lecture Interactive Video Engine)
system. The dataset was built from 23 recorded lectures of an
undergraduate medical imaging course and is the corpus used to
fine-tune the ALIVE language model and to evaluate its retrieval and
answer-generation behavior.
Layout
huggingface/
├── data/ question-answer pairs (Alpaca-style… See the full description on the dataset page: https://huggingface.co/datasets/zabir1996/alive-medical-imaging.mimic-medical-imaging-qa
MIMIC Medical Imaging QA Dataset
5,207 Bloom's-taxonomy-stratified question--answer pairs derived from 23 medical imaging lectures (RPI BMED 2300). The dataset supports the paper "MIMIC: A Course-Derivation Pipeline and Benchmark for Slide-Anchored Tutoring with a Domain-Adapted Large Language Model" and was used to fine-tune MIMIC-LM, a domain-adapted Llama-3.1-8B-Instruct model for grounded medical imaging instruction.
License
The benchmark annotations, dataset… See the full description on the dataset page: https://huggingface.co/datasets/zabir1996/mimic-medical-imaging-qa.Graptoloidea-Specimens-Imaging
Dataset Card for Graptoloidea Specimens Imaging
Dataset Summary
This dataset offers a detailed examination of Graptoloidea specimens, featuring attributes like image file paths, suborder, infraorder, family (including subfamily), tagged species names, geological stages, mean age values, and locality details (with coordinates and horizon information), complemented by original reference citations for each specimen. It serves as a comprehensive resource for paleontological… See the full description on the dataset page: https://huggingface.co/datasets/LeoZhangzaolin/Graptoloidea-Specimens-Imaging.medical-imaging-combined
Combined Medical Imaging Dataset
Dataset Description
Combined medical imaging dataset with 6793 samples in Alpaca instruction format.
Dataset Statistics
Total Samples: 6793
Training Samples: 5434
Validation Samples: 1359
Modality Distribution
X-ray: 2691 samples
CT: 2257 samples
Unknown: 1329 samples
MRI: 369 samples
Ultrasound: 147 samples
Source Distribution
ROCO: 5000 samples
VQA-RAD: 1793 samples
Sources
ROCO… See the full description on the dataset page: https://huggingface.co/datasets/robailleo/medical-imaging-combined.medical-imaging-combined
Combined Medical Imaging Dataset
Dataset Description
Combined medical imaging dataset with 1893 samples in Alpaca instruction format.
Dataset Statistics
Total Samples: 1893
Training Samples: 1514
Validation Samples: 379
Modality Distribution
X-ray: 1806 samples
CT: 48 samples
Unknown: 32 samples
MRI: 5 samples
Ultrasound: 2 samples
Source Distribution
VQA-RAD: 1793 samples
ROCO: 100 samples
Sources
ROCO (Radiology Objects… See the full description on the dataset page: https://huggingface.co/datasets/alvinl29/medical-imaging-combined.3D_imaging_of_an_entire_T1D_pancreasTitle: 3D imaging of an entire pancreas shows inverse proportions of extra islet vs islet associated β cells in late onset type 1 diabetes
Abstract: Residual β-cell function can positively affect diabetes regulation in type 1 diabetes (T1D), but details on residual β-cell mass distribution in T1D is largely lacking in a whole organ context. Implementing an optical 3D imaging pipeline, we generated a complete account of the remaining β-cells throughout an entire human late onset T1D pancreas at… See the full description on the dataset page: https://huggingface.co/datasets/JLehrstrand/3D_imaging_of_an_entire_T1D_pancreas.OpenHotelsSample
OpenHotels Representative Sample
This repository contains a representative sample of OpenHotels for review and inspection. It mirrors the full OpenHotels release structure: image files are stored in tar shards under shards/, and metadata files describe the gallery, non-object query images, object-centric query images, and hotel classes.
The sample is intended for data-quality inspection, not benchmark reporting. Use the full OpenHotels dataset for final evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/imagingforgood/OpenHotelsSample.medical-imaging-it-glossary
Medical Imaging IT Glossary — PACS, RIS, DICOM, HL7 (ES/EN)
A structured, bilingual (Spanish/English) reference glossary of standards,
systems, protocols and operational concepts used in medical imaging IT and
teleradiology: 53 terms across 23 categories, covering DICOM services and
data hierarchy, HL7 v2/FHIR message types, PACS/RIS/VNA systems, imaging
modalities (CT, MRI, US, PET, mammography, etc.), interoperability profiles
(IHE), and relevant Mexican/international… See the full description on the dataset page: https://huggingface.co/datasets/NODARISHUB/medical-imaging-it-glossary.medical-imaging-combined
Combined Medical Imaging Dataset
Dataset Description
Combined medical imaging dataset with 6793 samples in Alpaca instruction format.
Dataset Statistics
Total Samples: 6793
Training Samples: 5434
Validation Samples: 1359
Modality Distribution
X-ray: 2691 samples
CT: 2257 samples
Unknown: 1329 samples
MRI: 369 samples
Ultrasound: 147 samples
Source Distribution
ROCO: 5000 samples
VQA-RAD: 1793 samples
Sources
ROCO… See the full description on the dataset page: https://huggingface.co/datasets/teeyouteeyou/medical-imaging-combined.RadFAQs_Radiology_Imaging_Health_QA_Dataset
RadFAQs — Radiology & Imaging Health Q&A Dataset (Nepali)
Overview
This dataset (radfaqs_health_qa_nepali_all_nepali.jsonl) is a large, single-source collection of 1,235 instruction-following conversation pairs in Nepali, entirely focused on radiology and medical imaging — CT scans, MRI, X-rays, ultrasound, PET scans, bone density (DEXA) tests, echocardiograms, angiography, radiotherapy/brachytherapy, and related procedures. Each record is a single-turn human↔gpt… See the full description on the dataset page: https://huggingface.co/datasets/sabin1234/RadFAQs_Radiology_Imaging_Health_QA_Dataset.clinical-imaging-report-action-coherence-risk-v0.1What this repo is for
Detect when
imaging answers a question
but the system fails to
acknowledge and act
Common breaks
critical report not acknowledged
report late for urgent indication
action delayed after critical finding
negative result not integrated
Examples you can use
CTPA positive but anticoag not started
CT head bleed not escalated
CT perforation with delayed surgery
You use it to flag
missed diagnosis risk
treatment delay risk
healthcare-diagnostic-imaging-report-turnaround-coherence-risk-v0.1What this repo is for
Detect diagnostic delay risk early.
Tracks alignment between scan completion, reporting, validation, release, clinician notification, and clinical action.
Helps hospitals reduce missed results, prevent diagnostic delays, and stabilise care pathways.
OpenHotels-Updated
OpenHotels-Updated
OpenHotels-Updated is a large-scale hotel image retrieval benchmark built from hotel-room imagery and associated hotel metadata. The dataset is designed for hotel-scale retrieval: given a query image, a system must retrieve the matching hotel from a large gallery containing both true matching classes and many distractor hotel classes.
Dataset Structure
The release contains tar-sharded image files under shards/ and four metadata files:
shards/… See the full description on the dataset page: https://huggingface.co/datasets/imagingforgood/OpenHotels-Updated.clinical-imaging-queue-treatment-delay-coherence-risk-v0.1What this repo is for
Detect when imaging queues
and treatment urgency
fall out of alignment
before
stroke delays
trauma bottlenecks
and preventable deterioration.
clinical-imaging-order-result-followup-coherence-risk-v0.1What this repo is for
Detect when
imaging results
and
clinical follow-up
fall out of alignment
before
missed findings
and delayed treatment.
healthcare-imaging-queue-coherence-risk-v0.1What this repo is for
detect imaging backlog early
prevent urgent delays
align slots and staffing
reduce reporting lag
support operational planning
clinical-imaging-order-perform-report-coherence-risk-v0.1What this repo is for
You detect when imaging gets ordered
But the loop breaks
Common breaks
scan never happens
report arrives late
report exists but nobody reviews it
Examples you can use
CT head for bleed ordered but delayed
CXR report available but no clinician acknowledgement
urgent CT done but report stuck in queue
You use it to flag
diagnostic delay risk
before downstream harm
africa-owid-magnetic-resonance-imaging-mri-units-availability
Magnetic Resonance Imaging Mri Units Availability | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-magnetic-resonance-imaging-mri-units-availability.healthcare-imaging-request-report-coherence-risk-v0.1What this repo is for
Detect imaging bottlenecks before diagnosis delays occur.
Tracks alignment between imaging request, scanner availability, scan completion, reporting, and clinical review.
Helps hospitals prevent hidden imaging backlog and delayed treatment decisions.
clinical-imaging-result-treatment-decision-coherence-risk-v0.1What this repo is for
Detect when
imaging findings
and
treatment decisions
fall out of alignment
before
delayed intervention
and avoidable harm.
clinical-imaging-request-report-delivery-coherence-risk-v0.1What this repo is for
Detect when
imaging is ordered
but reports arrive late
or not at all
High impact examples
stroke CT report delay
trauma imaging backlog
ICU urgent imaging reporting lag
You use it to flag
diagnosis and treatment delay risk
clinical-imaging-request-indication-coherence-risk-v0.1What this repo is for
This dataset tests whether a model can detect coupling failures between imaging orders and the documented clinical indication.
It measures alignment between
imaging being requested
and
a clear indication with an explicit clinical question that supports the order.
It predicts
low-value imaging
radiology backlog pressure
incidental finding cascades
care delays when results are not actioned.
You use it for
clinical AI ordering safety eval
radiology demand management… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-imaging-request-indication-coherence-risk-v0.1.africa-synth-teleradiology-diagnostic-imaging-guinea
Teleradiology & Diagnostic Imaging | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-teleradiology-diagnostic-imaging-guinea.healthcare-imaging-order-report-action-coherence-risk-v0.1What this repo is for
Detect imaging workflow breakdown before harm occurs.
Tracks alignment between imaging order, report review, critical finding flagging, and clinical action.
Helps teams prevent missed findings, delayed treatment, and diagnostic safety incidents.
clinical-imaging-order-result-action-coherence-risk-v0.1What this repo is for
Detect when
a critical imaging result arrives
but action
does not follow
Examples you can use
PE on CTPA but anticoag not started
intracranial bleed on CT but no neurosurg call
free air on CT but no surgical review
You use it to flag
missed finding risk
before harm
Additive-Manufacturing-Self-Supervised-Learning-Coaxial-DED-Process-Zone-Imagingarthrography-imaging
Arthrography Imaging
Dataset Description
This dataset consists of 500 synthetic arthrography procedure reports designed to represent realistic medical scenarios encountered in clinical practice. Each report includes:
Patient demographics: Age and sex.
Clinical indications: Detailed descriptions of reasons for undergoing the procedure, crafted at a PhD level.
Joint examined: Specific joint under examination (e.g., shoulder, knee, hip, etc.).
Contrast agent used: The type… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/arthrography-imaging.clinical-imaging-order-report-action-coherence-risk-v0.1europe-owid-availability-of-computed-tomography-ct-imaging
Availability Of Computed Tomography Ct Imaging | Europe (Our World in Data)
🇪🇺 74 observations · 34 Europe countries · 2010–2021 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 74 observations of Availability Of Computed Tomography Ct Imaging data across 34 Europe countries, spanning 2010–2021.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Availability Of Computed… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-availability-of-computed-tomography-ct-imaging.clinical-imaging-queue-diagnostic-delay-coherence-risk-v0.1What this repo is for
Detect when imaging queues
and clinical urgency
have already diverged
before
diagnosis is delayed
and harm follows.