datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NIH-Chest-Xray-14clearwrist-pediatric-wrist-xrayClearWrist: Pediatric Wrist Fracture X-Ray Dataset
20,327 labeled pediatric wrist radiographs, rebuilt from GRAZPEDWRI-DX with clean patient-level splits, verified fracture ground truth, and YOLO-style bounding box annotations.
Overview
This dataset packages the full GRAZPEDWRI-DX corpus, 20,327 pediatric wrist radiographs from 6,091 patients treated at the Department for Pediatric Surgery of the University Hospital Graz between… See the full description on the dataset page: https://huggingface.co/datasets/Layered-Labs/clearwrist-pediatric-wrist-xray.nih-chest-xray-14-flatdental-panoramic-xray-yolo
Dental Panoramic X-Ray Detection Dataset (YOLO Format)
Combined dataset for dental pathology detection on panoramic radiographs, in YOLO format. Built for training liodon-ai/dental-panoramic-detector.
Classes
ID
Name
Description
0
caries
Dental caries and deep caries
1
periapical_lesion
Periapical / apical periodontitis
2
impacted_tooth
Impacted and wisdom teeth
Dataset Sources
Source
Images
Boxes
License
DENTEX
724
3… See the full description on the dataset page: https://huggingface.co/datasets/liodon-ai/dental-panoramic-xray-yolo.PadChest-GR-XrayIU-XrayFork of dz-osamu/IU-Xray converted to:
Wrap images as binary objects
Reformat as standard SFT (ShareGPT-OpenAI messages) dataset format.
Metadata
Name
#train
#val
#test
img#train
img#val
img#test
IU-Xray
2,069
296
590
4,138
592
1,180
IU-XrayIU-Xray-RRG
IU-Xray-RRG: Radiology Report Generation Subsets
IU-Xray-RRG packages two evaluation-focused slices from the IU X-Ray collection for radiology report generation experiments. Each configuration pairs a single-view chest radiograph (frontal) with the corresponding section of the diagnostic report, mirroring the benchmarks used in the CCD studies.
📚 Dataset Overview
Subset
Section Target
Split
#Samples
View Type
findings_section
Findings
test
3307
Frontal… See the full description on the dataset page: https://huggingface.co/datasets/X-iZhang/IU-Xray-RRG.chest-xray-classification
Dataset Labels
['NORMAL', 'PNEUMONIA']
Number of Images
{'train': 4077, 'test': 582, 'valid': 1165}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/chest-xray-classification", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/2
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/chest-xray-classification.NIH-Chest-XRay-Federated
NIH Chest X-ray Federated Learning Dataset
Federated learning splits designed for the [Cold Start:] Distributed AI Hack Berlin 2025.
The dataset is based on the NIH Chest X-ray14 dataset, which contains ~112,000 X-ray images from 30,805 unique patients, and models a federated learning scenario with non-IID characteristics across three hospitals, plus an out-of-distribution test set.
Dataset Description
The data was partitioned using a scoring algorithm that creates… See the full description on the dataset page: https://huggingface.co/datasets/exalsius/NIH-Chest-XRay-Federated.chest-xray-14-320
NIH Chest X-ray14 - 320x320 Processed for CheXVision
Project Resources
GitHub repository
Presentation deck
Live demo
Scratch model
DenseNet model
This dataset repackages the raw NIH Chest X-ray14 source dataset from
alkzar90/NIH-Chest-X-ray-dataset
into a data-only Parquet dataset for the CheXVision project.
Dataset Summary
Source format: 12 ZIP archives of original chest X-ray images plus CSV manifests
Output format: data-only Parquet shards under data/… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/chest-xray-14-320.iu-xraygoes-xray-flux
GOES Solar X-Ray Flux (1-Minute)
Credit: NASA/SDO
Part of a dataset collection on Hugging Face.
Dataset description
Solar soft X-ray flux from the GOES X-Ray Sensor (XRS), the operational backbone of solar flare monitoring. Updated daily from NOAA SWPC, growing incrementally at 1-minute cadence.
The GOES (Geostationary Operational Environmental Satellite) X-Ray Sensor measures the Sun's soft X-ray irradiance in two wavelength bands: a "short" 0.05-0.4 nm… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/goes-xray-flux.IU-Xray-RRG
IU-Xray-RRG: Radiology Report Generation Subsets
IU-Xray-RRG packages two evaluation-focused slices from the IU X-Ray collection for radiology report generation experiments. Each configuration pairs a single-view chest radiograph (frontal) with the corresponding section of the diagnostic report, mirroring the benchmarks used in the CCD studies.
📚 Dataset Overview
Subset
Section Target
Split
#Samples
View Type
findings_section
Findings
test
3307
Frontal… See the full description on the dataset page: https://huggingface.co/datasets/HEMAN0088/IU-Xray-RRG.x-ray_acl-dataset
Data Source
https://universe.roboflow.com/roboflow-100/acl-x-ray
Dataset Card Authors
Mahadi Hassan
Dataset Card Contact
mahadise01@gmail.com
Linkdin: https://www.linkedin.com/in/mahadise01
Github: https://github.com/Mahadih534
chest-xray-14
NIH Chest X-ray14 — Processed for CheXVision
This dataset wraps the NIH Chest X-ray14 dataset, preprocessed for the CheXVision project.
Labels
Label
Count
Prevalence
Infiltration
19,894
17.7%
Effusion
13,317
11.9%
Atelectasis
11,559
10.3%
Nodule
6,331
5.6%
Mass
5,782
5.2%
Pneumothorax
5,302
4.7%
Consolidation
4,667
4.2%
Pleural_Thickening
3,385
3.0%
Cardiomegaly
2,776
2.5%
Emphysema
2,516
2.2%
Edema
2,303
2.1%
Fibrosis
1,686
1.5%… See the full description on the dataset page: https://huggingface.co/datasets/arudaev/chest-xray-14.model-xray-gallery
VG1 status · 22 September 2026 (Europe/Istanbul)
The 7B class opened on 21 September 2026. Any registered account may scan the repositories on the eligible list of the scope page — exact Apache-2.0 revisions, listed there with their status — within the free allowance of 20 browser scans and five distinct source models per calendar month. 7B-class repositories run as single-model quantization simulations. A comparison of two 7B-class checkpoints is currently accepted by the… See the full description on the dataset page: https://huggingface.co/datasets/tetracta/model-xray-gallery.llm-xray-lesion-scans
VG1 status · 22 September 2026 (Europe/Istanbul)
The 7B class opened on 21 September 2026. Any registered account may scan the repositories on the eligible list of the scope page — exact Apache-2.0 revisions, listed there with their status — within the free allowance of 20 browser scans and five distinct source models per calendar month. 7B-class repositories run as single-model quantization simulations. A comparison of two 7B-class checkpoints is currently accepted by the… See the full description on the dataset page: https://huggingface.co/datasets/tetracta/llm-xray-lesion-scans.iu-xray-datasetNIH-Chest-Xray-14xray-balanced-datasetnih-chest-xraypulmonary-chest-xray-abnormalitiescoronahack-chest-xraychest-xray-14
NIH Chest X-ray14 — Processed for CheXVision
This dataset wraps the NIH Chest X-ray14 dataset, preprocessed for the CheXVision project.
Labels
Label
Count
Prevalence
Infiltration
19,894
17.7%
Effusion
13,317
11.9%
Atelectasis
11,559
10.3%
Nodule
6,331
5.6%
Mass
5,782
5.2%
Pneumothorax
5,302
4.7%
Consolidation
4,667
4.2%
Pleural_Thickening
3,385
3.0%
Cardiomegaly
2,776
2.5%
Emphysema
2,516
2.2%
Edema
2,303
2.1%
Fibrosis
1,686
1.5%… See the full description on the dataset page: https://huggingface.co/datasets/Sharon2105/chest-xray-14.chest_Xray_reasoning_v2chest-xray-classification
Dataset Labels
['PNEUMONIA', 'NORMAL']
Number of Images
{'test': 582, 'valid': 1165, 'train': 12230}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("trpakov/chest-xray-classification", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/3
Citation
License… See the full description on the dataset page: https://huggingface.co/datasets/trpakov/chest-xray-classification.chest_Xray_reasoningnih-chest-xraysX-Ray_Community_Tagging
What is this?
A community effort is a must in order to make a better, more accurate vision model, as I simply cannot tag thousands of images. If you would provide 50 corrections and 20 more people do so as well, it would help a lot.
If 100 ppl would help with 50 corrections each, we might have a high-accuracy functioning uncensored vision model.
The best format would be to name the output and images with the same name, like:
1.png
1.txt
2.png
2.txt
The best approach is probably… See the full description on the dataset page: https://huggingface.co/datasets/SicariusSicariiStuff/X-Ray_Community_Tagging.