datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Gastric-X
Gastric-X
Multi-phase abdominal CT cohort paired with structured laboratory panels
and free-text radiology reports, in proficient medical English with
the original Simplified Chinese preserved alongside.
Changelog
2026-06-26
Added per-phase organ masks (<phase>_organ_mask.nii.gz) — CADS
multi-organ segmentation on each phase's CT grid (e.g. label 6 = stomach);
all 4897 phases.
Added per-phase gastric tumor masks (<phase>_tumor_mask.nii.gz,
binary) — a patient's… See the full description on the dataset page: https://huggingface.co/datasets/HaoChen2/Gastric-X.xhs-travel-photos
XHS Travel Photos
Travel photography from Xiaohongshu (Little Red Book) across 19 destinations in China and Southeast Asia.
Dataset Summary
Metric
Count
Notes
2,882
Images
28,005
Total size
7.3 GB
Keyword folders
19
Destinations
Folder
Notes
bali
190
cambodia_angkor
200
chengdu
20
chiang_mai
213
chongqing
194
guilin
225
hainan_sanya
212
indonesia
215
laos
209
malaysia
198
myanmar
122
philippines
210… See the full description on the dataset page: https://huggingface.co/datasets/Rabornkraken/xhs-travel-photos.clearwrist-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.imagenet-1k-wds
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated.
💡… See the full description on the dataset page: https://huggingface.co/datasets/dark-xet/imagenet-1k-wds.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.Multimodal-Chest-X-ray-dataset-for-Normal-and-Bacterial-Pneumonia-in-Africans
Multimodal Chest X ray dataset for Normal and Bacterial Pneumonia in Africans | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: imagefolder - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Multimodal-Chest-X-ray-dataset-for-Normal-and-Bacterial-Pneumonia-in-Africans.MCD-2.6m
MCD-2.6m
MCD-2.6m is a collection of 2,604,450 agricultural and plant images distributed in 49 Parquet shards. It combines images of multiple crops collected across several institutions and field-imaging projects.
The release contains one train split. Images are embedded in the Parquet files and can be decoded directly with the Hugging Face datasets library.
Dataset Structure
Each example contains exactly three columns:
Column
Type
Description
row_id… See the full description on the dataset page: https://huggingface.co/datasets/XIANG-Shuai/MCD-2.6m.xAI_Aurora_t2i_human_preferences
Rapidata Aurora Preference
This T2I dataset contains over 400k human responses from over 86k individual annotators, collected in just ~2 Days using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Aurora across three categories: preference, coherence, and alignment.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future, please consider liking it.… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/xAI_Aurora_t2i_human_preferences.xyran_train_dataset
Xyran training dataset
Prepared for Xyran local content-safety model training.
Layout
sfw/
nsfw/
nsfl/
_manifests/
anime_dbrating WebP migration: 20260905_111217
Mapping:
general + sensitive -> SFW
questionable + explicit -> NSFW
WebP normalization:
existing WebP: byte-for-byte passthrough
non-WebP: libvips -> WebP
quality: 95
lossless: False
effort: 2
no resize
no crop
ZIP payload: STORE
Results:
SFW images: 683,275
NSFW images: 598,226
SFW… See the full description on the dataset page: https://huggingface.co/datasets/MingSafeR/xyran_train_dataset.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.AgriTaxon
AgriTaxon: Knowledge-grounded benchmarking of open-ended agricultural entity naming with large multimodal models
Xin Zeng, Benfeng Xu, Qian Chen, Jialin Kuai, Wentao Zhang, Liguo Lang, Shancheng Fang, Huarui Wu
🌐 Project Page · 💻 GitHub · 📎 Supplementary Material
Overview
Open-ended taxonomic naming is a foundational capability for intelligent agricultural decision-making. It requires a model to generate a standardized name for an organism or breed in an image… See the full description on the dataset page: https://huggingface.co/datasets/Xin1818/AgriTaxon.autotrain-data-galaxy_classification
AutoTrain Dataset for project: galaxy_classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project galaxy_classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 RGB PIL image>",
"target": 0
}]… See the full description on the dataset page: https://huggingface.co/datasets/Xanadu00/autotrain-data-galaxy_classification.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.quickdraw
Dataset Card for Quick, Draw!
This is a processed version of Google's Quick, Draw dataset to be compatible with the latest versions of 🤗 Datasets that support .parquet files. NOTE: this dataset only contains the "preprocessed_bitmaps" subset of the original dataset.
DuskfallcrewPhotography
Dataset Card for Dataset Name
Dataset Summary
A mixture of photography and other goods from Dusfkallcrew that has been either curated or taken by duskfall crew. Some may or may not be AI generated.
This template was generated using this raw template.
Languages
English mainly, but that's because the data is largely of New Zealand.
Source Data
Personal and Sensitive Information
No personal data has been included in this… See the full description on the dataset page: https://huggingface.co/datasets/xFutureTechx/DuskfallcrewPhotography.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-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-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.REOBench
Folder/File Descriptions
AID/AID_train.zip: Contains all AID images in the training set.
AID/AID_test.zip: Contains images in the test set under perturbation.
AID/AID_JSON/: Contains JSON files for zero-shot evaluation of LLM-based models.
Potsdam/Potsdam_Images_trian.zip: Contains all Potsdam images in the training set.
Potsdam/Potsdam_Anns_trian.zip: Contains annotations for images in the training set.
Potsdam/Potsdam_Images_test.zip: Contains Potsdam test images under… See the full description on the dataset page: https://huggingface.co/datasets/xiang709/REOBench.xraydar-multimodal
X-Raydar Multimodal Chest X-Ray Dataset
A multimodal dataset of 979 chest X-ray examinations, each with:
Chest X-ray image (full-resolution PNG, anonymised)
Consensus image-level labels (37 radiological findings, agreed by two expert radiologists with adjudication)
Bounding box annotations on the image from each annotator independently (localising each finding)
Original radiology report text
Report span annotations (token-level labels across 45 categories)
This dataset combines… See the full description on the dataset page: https://huggingface.co/datasets/dnamodel/xraydar-multimodal.STimage-1K4M
STimage-1K4M Dataset
Welcome to the STimage-1K4M Dataset repository. This dataset is designed to foster research in the field of spatial transcriptomics, combining high-resolution histopathology images with detailed gene expression data.
Update
Feb 12, 2025
We corrected a typo in meta file (changed "Human_Brain+Kidney_10X_02212023_Visium" to "Mouse_Brain+Kidney_10X_02212023_Visium"). Please refer to meta_all_gene02122025.csv for the newest meta data.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Xiaoxin888888/STimage-1K4M.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/Sharon2105/chest-xray-14.nih-chest-xray-14
Description
The NIH ChestX-ray14 dataset (NIH Clinical Center), an extension of ChestX-ray8 from the CVPR 2017 paper. It has 112,120 frontal-view chest X-rays of 30,805 unique patients. Each image is labelled with any of 14 thoracic findings, text-mined from the associated radiology reports with NLP.
'
ChestX-ray dataset comprises 112,120 frontal-view X-ray images of 30,805 unique patients with the text-mined fourteen disease image labels (where each image can have multi-labels)… See the full description on the dataset page: https://huggingface.co/datasets/timm/nih-chest-xray-14.autotrain-data-jump_up_down
AutoTrain Dataset for project: jump_up_down
Dataset Description
This dataset has been automatically processed by AutoTrain for project jump_up_down.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<437x960 RGB PIL image>",
"target": 0
},
{
"image": "<369x800 RGB PIL image>",
"target": 1
}]
Dataset Fields… See the full description on the dataset page: https://huggingface.co/datasets/xuming/autotrain-data-jump_up_down.datasetandoutput_fpPCD_Xray
Chest X-Ray Restoration & Classification — Dataset + Pipeline Outputs
Companion dataset for the project Restorasi dan Klasifikasi Citra X-Ray Dada Berbasis Filter Spasial, Frekuensi, dan Peningkatan ROI (GitHub).
Contains the raw input dataset (data/) and every artifact generated by the pipeline (output/): filtered/enhanced images, classification logs, and evaluation reports.
Contents
data/
├── corrupted/ 2500 degraded chest X-ray PNGs (pipeline… See the full description on the dataset page: https://huggingface.co/datasets/jeremymboe/datasetandoutput_fpPCD_Xray.chest-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.HepatoBench
HepatoBench Dataset
HepatoBench is a seven-class liver histopathology patch benchmark curated for evaluating pathology foundation models.
Dataset page: https://huggingface.co/datasets/xtxx/HepatoBench
Task: Patch-level image classification (7 classes)
Release: meta Information (dataset_meta.json)
Overview
HepatoBench contains 87,301 liver tissue image patches from seven categories:
Class
Description
# Images
TUM
Tumor
13,200
FIB
Fibrosis
26,364… See the full description on the dataset page: https://huggingface.co/datasets/xtxx/HepatoBench.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.Full-Danbooru-Complement
Full Danbooru Complement
发布状态 / Release status（2026-08-06）：基线版本、2026-06 月度归档和 2026-07 月度归档均已完成整理、验证并发布。
The baseline, 2026-06 monthly archive, and 2026-07 monthly archive have all been assembled, verified, and published.
概述 / Overview
Full Danbooru Complement 是 deepghs/danbooru2024-webp-4Mpixel 的后续补充数据集，用于延伸其 Danbooru 图像与 post metadata 覆盖范围。数据按不可变发布目录组织；每个 Parquet 行对应一个 Danbooru post，并在行内保存图像字节与相关 metadata。
Full Danbooru Complement is a follow-up complement to… See the full description on the dataset page: https://huggingface.co/datasets/Xuness/Full-Danbooru-Complement.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