datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cats-vs-dogs-sample
Dataset Card for Dataset Name
Subset of https://huggingface.co/datasets/microsoft/cats_vs_dogs, converted into FiftyOne dataset format.
This is a FiftyOne dataset with 5000 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cats-vs-dogs-sample.farmerchat-image-samples
FarmerChat Crop Image Samples
A sample of farmer-submitted photographs from FarmerChat, an agricultural advisory service
used by smallholder farmers in India, Ethiopia, Kenya and Nigeria. Published by
Digital Green.
This release contains 6,089 records (5,957 distinct photographs; some
photographs belong to more than one category, see below) drawn from 7 categories
representing different outcomes of an automated crop diagnosis pipeline, sampled
across country, month, crop and… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/farmerchat-image-samples.hard-intersection-multimodal-sample
Hard Intersection Multimodal Samples
Release Notes
Release
Description
v1.0.0
Initial public release.
v1.1.0
Added Unreal Engine assets.Fixed issues in the OpenDRIVE map data.Updated the README to improve documentation and usability.
Dataset Summary
Hard Intersection Multimodal Samples is a curated multimodal dataset of accident-prone urban intersection in Japan for autonomous driving research and development.It provides… See the full description on the dataset page: https://huggingface.co/datasets/dynamic-maps/hard-intersection-multimodal-sample.STRI-Samples
Dataset Card for Smithsonian Tropical Research Institute (STRI) Samples
Dataset Summary
Dorsal images of butterfly wings collected by Owen McMillan and members of his lab at the Smithsonian Tropical Research Institute.
Full dataset will be 24,119 RGB images: Dorsal and Ventral images of separated wings. This sample contains 207 dorsal butterfly images used as part of the training data for Imageomics/butterfly_detection_yolo.
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/STRI-Samples.uk-property-inspection-sample
miProgram UK Residential Property Inspection Sample
A 423-image labelled sample of professional UK residential property inspection photography, drawn from real production inspections carried out through the miProgram platform, prepared for evaluation by AI training-data buyers and data-licensing partners.
This is a sample. Full commercial dataset (approximately 120 million professionally-labelled images and growing) available under separate commercial licence — contact… See the full description on the dataset page: https://huggingface.co/datasets/miprogram/uk-property-inspection-sample.DataSeeds.AI-Sample-Dataset-DSD
DataSeeds.AI Sample Dataset (DSD)
This is a sample. For larger collections, custom production or annotation, write to sales@dataseeds.ai.
Dataset Summary
The DataSeeds.AI Sample Dataset (DSD) is a high-fidelity, human-curated computer vision-ready dataset comprised of 7,772 peer-ranked, fully annotated photographic images, 350,000+ words of descriptive text, and comprehensive metadata. While the DSD is being released under an open source license, a sister dataset… See the full description on the dataset page: https://huggingface.co/datasets/Dataseeds/DataSeeds.AI-Sample-Dataset-DSD.bakkhali-estuary-high-tide-sample
Bakkhali River Estuary — High Tide Boat Survey (Free Sample)
50 GPS-tagged coastal images from a single high-tide boat survey of the Bakkhali River
estuary, Khurushkul, Cox's Bazar, Bangladesh.
By Golam Rob — www.golamrob.com
✅ Free to use, including commercially — just credit "Golam Rob (golamrob.com)".
Licensed CC BY 4.0. Use it, train on it, remix it, share it. All I ask is attribution.
📸 These 50 images are a small taste of a 200,000–300,000 image personal library of… See the full description on the dataset page: https://huggingface.co/datasets/golamrob/bakkhali-estuary-high-tide-sample.vsr-sample-500
VSR Sample 500
This repository is a derivative sample of the Visual Spatial Reasoning (VSR) dataset. It contains 500 records and 483 unique COCO images in one train split. It is not the complete VSR corpus and is not a replacement for the upstream dataset.
The records were sampled without replacement from the upstream random-train split with deterministic seed 20260905. The sample preserves the source fields and values; the image field points to the bundled local file at… See the full description on the dataset page: https://huggingface.co/datasets/maujim/vsr-sample-500.khurushkul-pond-water-lily-sample
Pink Water Lily & Water Hyacinth — Khurushkul Pond, Bangladesh
100 GPS-tagged freshwater wetland images from a single pond survey in Khurushkul, Cox's Bazar, Bangladesh. By Golam Rob — www.golamrob.com
✅ Free to use, including commercially — just credit "Golam Rob (golamrob.com)". Licensed CC BY 4.0. Use it, train on it, remix it, share it. All I ask is attribution.
📸 These 100 images are a small taste of a 200,000+ image personal library of coastal, tidal, and freshwater… See the full description on the dataset page: https://huggingface.co/datasets/golamrob/khurushkul-pond-water-lily-sample.dental-implant-surgery-sample
Dental Implant Surgery — Multimodal Annotated Video (Sample Case)
A public sample from one complete All-on-4 full-arch mandibular dental implant
surgery: two synchronised camera angles, the operating surgeon narrating while
he works, and six layers of structured clinical annotation (L0–L5) tied frame by
frame to what he said.
This is a showcase slice, not the whole case. What is here is enough to judge
the structure, the annotation quality and the honesty of the documentation.… See the full description on the dataset page: https://huggingface.co/datasets/OralSurgery/dental-implant-surgery-sample.M-Attack-V2-Adversarial-Samples
M-Attack-V2 Adversarial Samples
Adversarial image samples generated by M-Attack-V2, from the paper:
Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting
arXiv:2602.17645 | Project Page | Code
Dataset Structure
├── epsilon_8/ # 100 adversarial images (ε = 8/255)
│ ├── 0.png
│ ├── 1.png
│ ├── ...
│ └── metadata.csv
└── epsilon_16/ # 100 adversarial images (ε = 16/255)
├── 0.png
├── 1.png
├── ...
└──… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI-LLM/M-Attack-V2-Adversarial-Samples.LMOD-Plus-Sample
LMOD+ — Sample Subset
A 1,076-instance sample of LMOD+, a large-scale multimodal
ophthalmology benchmark for developing and evaluating multimodal large language models (MLLMs).
This repository is a preview subset intended for quickly inspecting the data format, prototyping
evaluation harnesses, and running smoke tests. The full benchmark contains 32,633 instances across
12 ophthalmic conditions and 5 imaging modalities.
📄 Paper: ACM Transactions on Computing for Healthcare… See the full description on the dataset page: https://huggingface.co/datasets/Euanyu/LMOD-Plus-Sample.nano-receipts
🧾 Nano Receipts Dataset
A diverse collection of 2428 hyper-realistic synthetic receipt images generated using state-of-the-art text-to-image AI models.
🚀 Quick Start
from datasets import load_dataset
# Load dataset (fast parquet format!)
dataset = load_dataset("34data/nano-receipts")
# Access images
image = dataset["train"][0]["image"] # PIL Image
filename = dataset["train"][0]["filename"]
📊 Dataset Details
Total Images: 2428 receipts… See the full description on the dataset page: https://huggingface.co/datasets/samarth010/nano-receipts.plantsSAGE-sample
SAGE — Sample (10 crops preview)
A focused 10-crop sample of the full tirtho149/SAGE dataset. Each (crop, disease) class contributes up to 10 images (fixed seed for reproducibility).
For the full ~280 GB dataset, see tirtho149/SAGE.
Crops included
Crop
Disease classes
Images
Apple
36
209
Corn
86
679
Cotton
14
74
Mango
9
55
Potato
37
306
Rice
39
261
Soybean
58
498
Sugarcane
17
170
Tomato
48
365
Wheat
53
374
TOTAL
1,848… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/SAGE-sample.newimagenet-samples
newimagenet-samples
Rare WordNet vocabulary, with images and the full hypernym chain from each synset up to
entity.n.01.
Where ImageNet covers 1000 common classes, these are the words nobody searches for:
sphacelotheca (a genus of smut fungus), anisogamete, calymmatobacterium,
griseofulvin, merostomata, supinator, wincey.
120 classes · 2,393 images · hierarchy depth 4-16
Sample classes
Every example below shows its complete field set — nothing truncated. All 120… See the full description on the dataset page: https://huggingface.co/datasets/elliot-mllm/newimagenet-samples.PRISM-Dataset-Sample
PRISM Sample: Polarimetric Road-surface Intelligent Sensing and Measurement Dataset
Anonymous submission to NeurIPS 2026 Evaluations & Datasets Track.
This is a representative sample of the PRISM dataset, designed to enable reviewers and researchers to inspect data quality without downloading the full ~1.6 TB dataset.
Why a sample dataset?
The full PRISM dataset contains 47,098 time-synchronized frames across 41 sessions. This sample provides:
Quick quality inspection:… See the full description on the dataset page: https://huggingface.co/datasets/NeurIPS-2026-PRISM/PRISM-Dataset-Sample.labelled-samples
WHA Spell Simulator Glyphs
Crowdsourced handwriting samples of signs and sigils from the fan-made
Witch Hat Atelier spell simulator. Contributors drew each
glyph freehand in the project's Sample Maker tool; every sample was
human-reviewed and only approved samples are included. Strokes are
simplified (polling-rate invariant) and normalised to the 0..1 range,
preserving aspect ratio.
vector config
One record per sample:
id — content hash of the raw sample… See the full description on the dataset page: https://huggingface.co/datasets/wha-spell-simulator/labelled-samples.core_sample_image_data
🖼 Soil Core Sample Image Data
This dataset contains 3604 labeled images of soil core samples for image classification.
📌 Dataset Summary
Images: Squared images (300x300 pixels), cropped from full-scale high-resolution images of soil core samples.
Labels: hb, nb (terms according to DIN 4023:2006-02).
Format: Hugging Face datasets.Dataset with Image() feature.
Split: Train / val / test split is performed with a ratio of 0.8 / 0.1 / 0.1, whereas the samples are stratified… See the full description on the dataset page: https://huggingface.co/datasets/grano1/core_sample_image_data.MV-VDB-photos-small
MV-VDB-photos-small
Media Vault - Vector Database Photos (Small)
A curated collection of 11,000 images from various computer vision datasets, designed for testing internal mechanisms in the Media Vault Vector Database system. This is the first small-scale dataset (targeting 10K samples, with NSFW split totaling 11K) for validation and testing purposes.
Dataset Structure
The dataset contains two splits:
sfw: All non-NSFW images (~10,000 images)
x_nsfw: Only NSFW images… See the full description on the dataset page: https://huggingface.co/datasets/SamoXXX/MV-VDB-photos-small.bharatanatyam-mudra-dataset
Bharatanatyam Mudra Dataset
Dataset Description
The Bharatanatyam Mudra Dataset contains 28,431 images of hand gestures (mudras) from Bharatanatyam, a classical Indian dance form. The dataset was collected from 15 volunteers in a studio environment and includes both single-hand and double-hand gestures.
Dataset Statistics
Total Images: 28,431
Single Hand Gestures (Asamyukta Hastas): 15,396 images across 29 classes
Double Hand Gestures (Samyukta Hastas): 13,035… See the full description on the dataset page: https://huggingface.co/datasets/Samarth0710/bharatanatyam-mudra-dataset.sampleneurosam3-samples
NeuroSAM3 Sample Dataset
Curated sample images for testing the NeuroSAM3 agentic neuroimaging platform.
Contents
Category
Count
Modality
Description
glioma
8
MRI T1w
Glioma brain tumors
meningioma
6
MRI T1w
Meningioma (extra-axial)
pituitary
6
MRI T1w
Pituitary adenomas
healthy
5
MRI T1/T2
Normal brain anatomy
ct_normal
3
CT
Normal brain CT
ct_hemorrhage
2
CT
Intracranial hemorrhage
Usage
These images are loaded on-demand… See the full description on the dataset page: https://huggingface.co/datasets/mmrech/neurosam3-samples.FL-MedClsBench-sample
FL-MedClsBench — Representative Sample
Beyond Synthetic Splits: A Benchmark for Federated Learning on Real-World Medical Data Classification
This is a representative sample of the full FL-MedClsBench dataset (>14 GB).
Sampling Methodology
Images: 5 samples randomly selected per client (seed=42)
FL-BCa (3D NIfTI MRI): 2 volumes per center
FL-ECG (HDF5 ECG signals): full dataset included (~7 GB, 3 files)
Metadata: All CSV split files (train/val/test × 3 seeds) included in… See the full description on the dataset page: https://huggingface.co/datasets/FL-MedClsBench/FL-MedClsBench-sample.llm-distribution-sample
LLM Distribution Evaluation Dataset
This dataset contains 1000 synthetic graphs with questions and answers about statistical distributions, designed to evaluate large language models' ability to analyze data visualizations.
Dataset Description
Dataset Summary
This dataset contains diverse statistical visualizations (bar charts, line plots, scatter plots, histograms, area charts, and step plots) with associated questions about:
Normality testing
Distribution… See the full description on the dataset page: https://huggingface.co/datasets/robvanvolt/llm-distribution-sample.central-europe-rural-landscape-dataset-sample
SAMPLE VERSION (Preview Subset)
This repository contains the preview sample (45 images) of the Central European Rural Landscape Dataset (v1.0).
The full dataset (945 images, class-wise ZIP archives, full annotation set) is available separately under a commercial license.
Full version repository:
👉 https://huggingface.co/datasets/batris-data/central-europe-rural-landscape-dataset-full
For licensing inquiries:
batris.sro@gmail.com
Central European Rural Landscape Dataset… See the full description on the dataset page: https://huggingface.co/datasets/batris-data/central-europe-rural-landscape-dataset-sample.nectar-pr-smoke-cls-mnist-ds
nectar-pr-smoke-cls-mnist-ds
Image classification dataset.
Splits
test: 80 images
train: 80 images
Classes
0, 1, 2, 3, 4, 5, 6, 7, 8, 9
qwen3.5-4b-base-blindspot-samples
Blind Spots of Frontier Models: Qwen3.5-4B-Base
Fatima Fellowship 2026 -- Technical Challenge Report
GitHub: GrantorShadow/Fatima-Fellowship-2026
1. Model Selection
Model: Qwen/Qwen3.5-4B-Base
Property
Value
Parameters
4B
Architecture
Gated DeltaNet hybrid: 8x(3xDeltaNet + FFN + 1xAttention + FFN)
Context Window
262K tokens (claimed)
Type
Base model (no instruction tuning)
Modality
Multimodal (text + vision)
Release
Within last 6 months on Hugging… See the full description on the dataset page: https://huggingface.co/datasets/EtherealGlorious/qwen3.5-4b-base-blindspot-samples.autotrain-data-sample
AutoTrain Dataset for project: sample
Dataset Description
This dataset has been automatically processed by AutoTrain for project sample.
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": "<500x375 RGB PIL image>",
"target": 1
},
{
"image": "<378x274 RGB PIL image>",
"target": 0
}]
Dataset Fields
The… See the full description on the dataset page: https://huggingface.co/datasets/MaulikMadhavi/autotrain-data-sample.cleanvision-sample-images
CleanVision Sample Images
This dataset contains sample images for demonstrating CleanVision, a Python package for automatically detecting issues in image datasets.
Dataset Description
This collection includes various images with different quality issues such as:
Blurry images
Dark/underexposed images
Overexposed images
Near-duplicate images
Images with various other quality issues
Usage
Download the dataset:
wget… See the full description on the dataset page: https://huggingface.co/datasets/Cleanlab/cleanvision-sample-images.