datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RadGenome-ChestCT
RadGenome Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Developing generalist foundation model has recently attracted tremendous attention among researchers in the field of AI for Medicine (AI4Medicine). A pivotal insight in developing these models is their reliance on dataset scaling, which emphasizes the requirements on developing open-source medical image datasets that incorporate diverse supervision signals across various imaging modalities.
We introduce… See the full description on the dataset page: https://huggingface.co/datasets/RadGenome/RadGenome-ChestCT.NIH-Chest-Xray-14nih-chest-xray-14-flatt-e-x-t-re-c-a-pchest-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.nn-3k-unify-styleNIH-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.i-t-l-cn-unify-styleMMIF-23kxxco-n-sistency-150k-unify-styleU-l-t-r-a-H-R-100K-unify-styleconflux-chest-ct
CONFLUX Chest-CT
200,000 synthetic 3D chest CT volumes with structured abnormality and demographic labels, generated by CONFLUX.
Released with the paper CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training.
Paper (arXiv) •
Model •
Code — coming soon
About
CONFLUX is a conditional 3D latent generative model for chest CT: a VAE tokenizer
compresses each volume into a compact 16-channel latent, a… See the full description on the dataset page: https://huggingface.co/datasets/gevaertlab/conflux-chest-ct.i-t-l-unify-styleZebra-CoT-unify-stylechest-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.syn-id-unify-stylechest_no_bb_with_meta_v2ChestX-Det
ChestX-Det
3,578 frontal chest radiographs from NIH ChestX-ray14, annotated by three
board-certified radiologists with 13 categories of thoracic abnormality —
each as a per-instance polygon contour plus a bounding box.
Modality: chest X-ray (2D frontal radiograph), 1024×1024, 8-bit
Organ: thorax — lung, pleura, mediastinum, ribs, heart
Targets: 13 abnormality classes, as independent binary masks
License: Apache-2.0 (annotations) over NIH ChestX-ray14 images (no use restrictions… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/ChestX-Det.i-t-l-diverse-en-unify-styleNIH-Chest-Xray-14chesta-tokenizer-data-36gbX-L-I-P-3-o-60k-unify-stylepulmonary-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.RadGenome-ChestCT
RadGenome Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Developing generalist foundation model has recently attracted tremendous attention among researchers in the field of AI for Medicine (AI4Medicine). A pivotal insight in developing these models is their reliance on dataset scaling, which emphasizes the requirements on developing open-source medical image datasets that incorporate diverse supervision signals across various imaging modalities.
We introduce… See the full description on the dataset page: https://huggingface.co/datasets/zhi01/RadGenome-ChestCT.chest_Xray_reasoning_v2CoverBook_512syn-md-unify-style