datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nih-chest-xray-14-flatchest-xray-pneumoniaDataset Summary
The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).
Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.
For… See the full description on the dataset page: https://huggingface.co/datasets/hf-vision/chest-xray-pneumonia.vinbigdata-chest-xray-abnormalities-png
VinBigData Chest X-ray Abnormalities (Private Processed Mirror)
Private repository for personal transfer / research use only. Do not redistribute.
Derived from the VinBigData Chest X-ray Abnormalities Detection / VinDr-CXR dataset. Original data is subject to the VinBigdata / PhysioNet data use agreement; keep this repo private and do not share access with third parties.
Contents
Path
Description
image/train/*.png
4394 train images with abnormalities… See the full description on the dataset page: https://huggingface.co/datasets/ASD9987/vinbigdata-chest-xray-abnormalities-png.NIH-Chest-Xray-14chest-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
NIH ChestX-ray14 — WebDataset
Dataset original: nih-chest-xrays/data
Imágenes: 112,120 PNGs en escala de grises (1024×1024)
Formato: WebDataset (TAR archives, ~1000 imágenes por TAR)
Split: train
Cómo cargar
from datasets import load_dataset
ds = load_dataset("webdataset", data_dir="yeigen/nih-chest-xray", split="train", streaming=True)
for sample in ds:
img = sample["png"] # PIL Image
print(img.size)
break
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.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-xrays-indiana-universitychest-xray-tb-pneumonia
Chest X-Ray: Tuberculosis, Pneumonia & Normal
A curated chest X-ray image dataset for three-class classification: NORMAL, PNEUMONIA, and TUBERCULOSIS.
Derived from public sources (NIH Chest X-ray Dataset, RSNA Pneumonia Detection Challenge, Kaggle TB datasets) and split into train/validation/test sets.
Dataset Structure
final_dataset/
├── train/ # 9,097 images (NORMAL=3,911 | PNEUMONIA=2,971 | TUBERCULOSIS=2,215)
├── val/ # 1,950 images… See the full description on the dataset page: https://huggingface.co/datasets/realsudarshan/chest-xray-tb-pneumonia.Chest_Xray_N_Hot_Augchest-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.Chest_Xray_N_Hot_TrainNIH-Chest-Xray-14nih-chest-xrayX-ray_chest_images
Chest X-Ray Images (Pneumonia)
This dataset is a rehosted version of the Chest X-Ray Images (Pneumonia) dataset originally published on Mendeley Data:
All images have been converted top rgba images
Source: https://data.mendeley.com/datasets/rscbjbr9sj/2
Citation: http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5
License: CC BY 4.0
Data collected from pediatric patients (1–5 years) from Guangzhou Women and Children’s Medical Center.
pulmonary-chest-xray-abnormalitiesnih-chest-xray-smallcoronahack-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_reasoningNIH-ChestXray14-Balancedchest-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.augmented_chest_xrayChest_X-Ray_Images-Dataset
Data Source
https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia
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
Zoidberg2.0
The data has been taken from kaggle
Usage
Install Hugging Face's datasets library
pip install datasets
Load the dataset with the following lines
from datasets import load_dataset
dataset = load_dataset("Az-r-ow/chest_xray")
For more information on how to manipulate the data checkout the docs
synthetic-chest-xray-pneumonia
Synthetic Chest X-Ray Pneumonia Dataset
Dataset Description
This dataset contains synthetic chest X-ray images generated using Stable Diffusion 2.1
fine-tuned with DreamBooth on the hf-vision/chest-xray-pneumonia dataset.
Purpose
Created for a science fair project investigating whether synthetic medical images generated
by diffusion models can improve pneumonia classifier accuracy.
Research Question
Can synthetic chest X-ray images generated by a… See the full description on the dataset page: https://huggingface.co/datasets/chimbiwide/synthetic-chest-xray-pneumonia.ChestXraysnih-chest-xrays