datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FOMO260K
FOMO260K: Brain MRI Dataset for Large-Scale Self-Supervised Learning with Clinical Data
Dataset paper preprint: A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.
https://arxiv.org/pdf/2506.14432.
Description
FOMO260K is a large-scale dataset of brain MRI scans, including both clinical and research-grade scans. The dataset includes a wide range of sequences, including T1, MPRAGE, T2, T2*, FLAIR, SWI, T1c, PD, DWI… See the full description on the dataset page: https://huggingface.co/datasets/FOMO-MRI/FOMO260K.GroMo25
GroMo25: Multiview Time-Series Plant Image Dataset for Age Estimation and Leaf Counting
Dataset Summary
GroMo25 is a multiview, time-series plant image dataset designed for plant age estimation (in days) and leaf counting tasks in precision agriculture. It contains high-quality images of four crop species — Wheat, Okra, Radish, and Mustard — captured over multiple days under controlled conditions. Each plant is photographed from 24 angles across 5 vertical levels per day… See the full description on the dataset page: https://huggingface.co/datasets/MrigLabIITRopar/GroMo25.FOMO300K
FOMO300K: Brain MRI Dataset for Large-Scale Self-Supervised Learning with Clinical Data
Dataset paper preprint: A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.
https://arxiv.org/pdf/2506.14432.
Updates
April 3, 2026: V1.1 released. MGH-Wild has changed license and is no longer part of FOMO300K. The new dataset is now available and totals 306,207 scans.
Description
FOMO300K is a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/FOMO-MRI/FOMO300K.Brain-Tumour-MRI
Dataset Card for Brain Tumour MRI dataset
A collection of Brain scans covering three different types of tumours and as well as a control class.
Dataset Details
Dataset Description
The Dataset contains ~7000 MRI scans of the brain corresponding to 4 classes: glioma, meningioma, notumor & pituitary.
The dataset has already been split into train/test sets.
Dataset Creation
Source
This dataset was compiled and uploaded to Kaggle by Masoud… See the full description on the dataset page: https://huggingface.co/datasets/Kaynaaf/Brain-Tumour-MRI.FOMO50K
FOMO50K: Brain MRI Dataset for Large-Scale Self-Supervised Learning with Clinical Data
Dataset paper preprint: A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.
https://arxiv.org/pdf/2506.14432.
This repo contains FOMO50K containing 50K brain MRI scans.
This dataset was released as FOMO60K and formed the basis for the FOMO25: Foundation Model Challenge for Brain MRI hosted at MICCAI 2025.
See fomo25.github.io and this paper for… See the full description on the dataset page: https://huggingface.co/datasets/FOMO-MRI/FOMO50K.knee_fast_mri
Dataset for AVS-Net Pre-training
The dataset utilized in the pre-training of the AVS-Net: Attention-based Variable Splitting Network for P-MRI Acceleration model, developed by Y Zhang, J Li, Z Wang, J Duan, and J Li, incorporates data from five distinct protocol sequences. These are:
(coronal_pd)Coronal Spin Density-weighted without Fat Suppression
(coronal_pd_fs)Coronal Spin Density-weighted with Fat Suppression
(sagittal_pd)Sagittal Spin Density-weighted
(sagittal_t2)Sagittal… See the full description on the dataset page: https://huggingface.co/datasets/AVS-Net/knee_fast_mri.brain-mri-dataset-140
Brain Tumor MRI Dataset (Visual Viewer Enabled)
This dataset contains structural MRI cross-sections processed from clinical scans, formatted into interactive image columns for direct streaming.
Dataset Features Map
image: Viewable cross-section slice image.
volume / slice: Core scan extraction reference coordinates.
Age / Survival_Days: Patient clinical records metrics.
Grade: Tumor classifications status (e.g., HGG, LGG).
anatomical_location: Specific scan… See the full description on the dataset page: https://huggingface.co/datasets/Satavisha2026/brain-mri-dataset-140.lgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ehsan-rmz/lgg-mri-segmentation-research.huggingface_docpredibench-dumpUsenetArchiveIT
Usenet Archive IT Dataset 🇮🇹
Description
Dataset Content
This dataset contains Usenet posts from Italian language newsgroups belonging to the it and italia hierarchies. The data has been archived and converted to the Parquet format for easy processing.
The only preprocessing conducted on the text was the removal of two conversations in which the VBS source code of the malicious script "ILOVEYOU" was present as it was shared by two users for didactical… See the full description on the dataset page: https://huggingface.co/datasets/mrinaldi/UsenetArchiveIT.Masoud-Nickparvar-Brain-Tumor-MRI-Dataset
Dataset Card for Brain Tumor MRI Dataset
A dataset of 7,200 human brain MRI images, labeled into four classes — glioma, meningioma, pituitary tumor, and no tumor — for training and evaluating brain tumor classification models. This is a direct upload of the Brain Tumor MRI Dataset originally published on Kaggle by Masoud Nickparvar.
Dataset Details
Dataset Description
This dataset combines MRI images from three source datasets — figshare, the… See the full description on the dataset page: https://huggingface.co/datasets/BJyotibrat/Masoud-Nickparvar-Brain-Tumor-MRI-Dataset.mri-oasis-1-ixi-pre
OASIS-1 + IXI Preprocessed MRI
Preprocessed T1-weighted brain MRI volumes from two widely-used public neuroimaging datasets,
ready for machine learning and 3-D visualisation.
Volumes are stored as float32 NumPy arrays of shape (96 × 128 × 96) (D × H × W),
so loading is as simple as np.load("OAS1_0001_MR1_t1.npy").
Datasets
OASIS-1 — Open Access Series of Imaging Studies
Property
Value
Subjects
436 (ages 18–96)
Population
Cognitively… See the full description on the dataset page: https://huggingface.co/datasets/pzarzycki/mri-oasis-1-ixi-pre.mri_knee🧠 MRI Knee Dataset (Single-Coil)
Dataset Name
FLowOak/mri_knee
📌 Dataset Summary
FLowOak/mri_knee is a single-coil knee MRI dataset provided in HDF5 (.h5) format, intended for research in accelerated MRI reconstruction, compressed sensing, and deep learning–based image reconstruction.
This dataset is derived from the fastMRI initiative and adapted for single-coil reconstruction experiments, making it suitable for lightweight models, NAS-based architectures, and academic research where… See the full description on the dataset page: https://huggingface.co/datasets/FLowOak/mri_knee.FOMO45K
FOMO45K: Brain MRI Dataset for Large-Scale Self-Supervised Learning with Clinical Data
Dataset paper preprint: A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.
https://arxiv.org/pdf/2506.14432.
This repo contains FOMO45K containing ~45K brain MRI scans.
This dataset is a subset of FOMO60K that formed the basis for the FOMO25: Foundation Model Challenge for Brain MRI hosted at MICCAI 2025.
See fomo25.github.io and this paper for… See the full description on the dataset page: https://huggingface.co/datasets/FOMO-MRI/FOMO45K.mridingham-tonicbrain-tumour-MRI-scan
Dataset description
This dataset is a combination of the following three datasets :
FigshareSARTAJ datasetBr35H
This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary.
No tumor class images were taken from the Br35H dataset.
Acknowledgement
This dataset is reproduced and taken from Kaggle
Brain_Cancer_MRI_Classsification
Brain Cancer MRI Classification Dataset
This dataset contains MRI images for brain cancer classification, organized for machine learning tasks. It is suitable for use with Hugging Face datasets and model training.
Dataset Structure
classification/Training/ - Training images, organized by cancer type (e.g., glioma, meningioma, pituitary)
classification/Testing/ - Testing images, organized similarly
Labels
glioma
meningioma
pituitary
notumor
Usage… See the full description on the dataset page: https://huggingface.co/datasets/huseyincavus/Brain_Cancer_MRI_Classsification.RadGenome-Brain_MRI_parquetAlzheimer_MRI
Alzheimer_MRI Disease Classification Dataset
The Falah/Alzheimer_MRI Disease Classification dataset is a valuable resource for researchers and health medicine applications. This dataset focuses on the classification of Alzheimer's disease based on MRI scans. The dataset consists of brain MRI images labeled into four categories:
'0': Mild_Demented
'1': Moderate_Demented
'2': Non_Demented
'3': Very_Mild_Demented
Dataset Information
Train split:
Name: train
Number of… See the full description on the dataset page: https://huggingface.co/datasets/Falah/Alzheimer_MRI.mri_databrain_tumour_mrinepali-text-corpus-64
Nepali Text Dataset
Overview
The Nepali Text Dataset is a comprehensive collection of approximately 6.4 million articles in the
Nepali language. This dataset encompasses a diverse range of text types, including news articles, blogs,
and more, making it an invaluable resource for researchers, developers, and enthusiasts
in the fields of Natural Language Processing (NLP) and computational linguistics.
Dataset Details
Total Articles: ~6.4 million
Language:… See the full description on the dataset page: https://huggingface.co/datasets/mridul3301/nepali-text-corpus-64.Parkinsons-Disease-MRI-Datasetamos22-mri-dataset
AMOS22 MRI Dataset
Dataset Description
This is the MRI portion of the AMOS22 (A large-scale abdominal multi-organ benchmark for versatile medical image segmentation) dataset.
The AMOS22 dataset contains abdominal MRI scans with dense segmentation annotations for 15 organs.
Dataset Structure
dict_keys(['train', 'valid']) splits:
train/
├── imagesTr/ # MRI scan images in NIfTI format (.nii.gz)
└── labelsTr/ # Segmentation masks in… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/amos22-mri-dataset.gynecology-MRI-dataset
Data Source
https://universe.roboflow.com/roboflow-100/gynecology-mri
Dataset Card Authors
Mahadi Hassan
Dataset Card Contact
mahadise01@gmail.com
Linkdin: https://www.linkedin.com/in/mahadise01
Github: https://github.com/Mahadih534
OpenSubtitlesITAaxial-mri
Dataset Card for axial-mri
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
axial-mri
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x640… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/axial-mri.landing_pages_04_dataset
Dataset Card for "landing_pages_04_dataset"
More Information needed
3d-brain-mriThis dataset is based on the UCSF-PDGM: The University of California San Francisco Preoperative Diffuse Glioma MRI research dataset.