datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
llbench-dataset
LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models via Human Preferences
Anonymous release prepared for NeurIPS 2026 review. Please do not redistribute.
LL-Bench is a large-scale, human-preference benchmark for evaluating low-level
vision restoration in the era of large generative models (LGMs). It compares
10 LGMs with 16 specilist and 5 all-in-one models across 16 low-level vision tasks, paired with dense human annotations:pairwise… See the full description on the dataset page: https://huggingface.co/datasets/anonymousllbench/llbench-dataset.cnn-based-drowsiness-detection-data
CNN-Based Drowsiness Detection - Dataset
Preprocessed, auto-labeled face-crop images used to train the model in
notgoodkeeper/cnn-based-drowsiness-detection.
Code: https://github.com/not-good-keeper/cnn-based-drowsiness-detection
Collection
Frames were captured from a webcam, then run through:
Haar Cascade face detection -> crop + pad + resize to 412x412
MediaPipe Selfie Segmentation -> background replaced with white
CLAHE contrast normalization -> grayscale… See the full description on the dataset page: https://huggingface.co/datasets/notgoodkeeper/cnn-based-drowsiness-detection-data.handwritten-digit-dataset
Handwritten Digit Dataset
This dataset contains a collection of handwritten digits (0-9) contributed by users through an interactive web-based drawing application. The dataset is continuously updated, reflecting real-world human handwriting variability.
Dataset Details
The images are pre-processed to match the standard machine learning format for digit recognition:
Dimensions: 28x28 pixels.
Format: Grayscale (single channel).
Processing: Each digit is cropped to… See the full description on the dataset page: https://huggingface.co/datasets/zentardev/handwritten-digit-dataset.PriOrGen_DATA
PriorGen_Data
PriorGen 使用的数据独立存放于此目录，代码项目位于 /mnt/datadisk0/PriorGen。数据按用途组织：
PriorGen_Data/
├── features/uni/ # UNI WSI patch features (.pt)
├── features/plip/ # PLIP WSI patch features (.pt)
├── annotations/organs/ # TCGA organ report annotations and images
├── splits/ # train/val/test CSV and label mappings
├── knowledge_banks/ # organ knowledge banks (.pt/.json)
├── anchors/ # PIB anchor features (.pt)
├── feature_labels.csv # 每个 UNI/PLIP… See the full description on the dataset page: https://huggingface.co/datasets/Yfeng0216/PriOrGen_DATA.Calf-Play-Behavior-Dataset
Video recordings and play behaviour annotations of group-housed dairy calves on two Dutch farms
Status: version 1.0. A Data Descriptor describing this dataset is in preparation for Scientific Data; the citation below will be updated when it is published.
Summary
This dataset contains video of group-housed dairy calves recorded during four camera deployments of about one week each on two farms in the Netherlands, together with continuous per-calf behaviour… See the full description on the dataset page: https://huggingface.co/datasets/Sonam5/Calf-Play-Behavior-Dataset.Ransomware_PE_Header_Feature_Dataset
Dataset Card for Ransomware PE Header Feature Dataset
Dataset Description
Dataset Summary
This dataset contains PE header features (first 1024 bytes) from 2,157 Windows executable samples, comprising 1,134 legitimate software (goodware) and 1,023 ransomware samples across 25 ransomware families. Each sample is represented by numerical features extracted from the raw PE header.
Supported Tasks
Binary Classification: Distinguish between goodware and… See the full description on the dataset page: https://huggingface.co/datasets/cycloevan/Ransomware_PE_Header_Feature_Dataset.japanese-image-classification-evaluation-dataset
recruit-jp/japanese-image-classification-evaluation-dataset
Overview
Developed by: Recruit Co., Ltd.
Dataset type: Image Classification
Language(s): Japanese
LICENSE: CC-BY-4.0
More details are described in our tech blog post.
日本語CLIP学習済みモデルとその評価用データセットの公開
Dataset Details
This dataset is comprised of four image classification tasks related to concepts and things unique to Japan. Specifically, is consists of the following tasks.
jafood101: Image… See the full description on the dataset page: https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset.UK_Traffic_Sign_Inspection_Datasetforestllava-dataset
Forest-LLaVA Multimodal Tree-Species Dataset
Forest-LLaVA is a multimodal remote-sensing dataset for tree-species
recognition and structured vision-language research. Each record is indexed by
a numeric sample_id from the US subset of GlobalGeoTree and is linked to a
60 m × 60 m patch from NAIP Optical, Sentinel-2 MSI and Sentinel-1 SAR data,
four-level taxonomic labels and geographic/environmental records.
The repository contains the complete image archives for the… See the full description on the dataset page: https://huggingface.co/datasets/minute1028/forestllava-dataset.violence-nonviolence-dataset
Violence vs Non-Violence Dataset
This dataset contains annotated interaction data for detecting violent vs non-violent human interactions.The data is extracted from video frames and includes bounding boxes, pose keypoints, motion features, and violence indicators for pairs of interacting persons.
Files
violence_data.csv → Frames labeled as violent interactions
non_violence_data.csv → Frames labeled as non-violent interactions
Each CSV contains structured features at… See the full description on the dataset page: https://huggingface.co/datasets/harmesh95/violence-nonviolence-dataset.cutclean-datasets
CutClean: balanced datasets
Data accompanying:
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise, Enzo Tartaglione.
CutClean: Neural Network Pruning for Privacy-Preserving Inference.
Pattern Recognition — Proceedings of the 28th International Conference on Pattern
Recognition (ICPR 2026), Lyon, France. Lecture Notes in Computer Science, Springer
Nature Switzerland, pp. 450–465.
doi:10.1007/978-3-032-31452-9_30
Code: https://github.com/MaglioloLeonardo/CutClean
The… See the full description on the dataset page: https://huggingface.co/datasets/imDalton/cutclean-datasets.humanoid-basic-actions-dataset-v1
Humanoid Basic Actions Dataset v1
Synthetic dataset for humanoid robot training simulation.
Description
This dataset contains labeled humanoid robot action images for basic movement recognition tasks.
Classes
walk
run
sit
stand
wave
pick_object
turn_left
turn_right
Structure
dataset/
├── train/
├── validation/
Each folder contains subfolders named after action labels.
Format
Image Classification (RGB Images 224x224)
Total… See the full description on the dataset page: https://huggingface.co/datasets/Caplin43/humanoid-basic-actions-dataset-v1.humanoid-pose-state-dataset-lite
Humanoid Pose State Dataset Lite
Lightweight synthetic dataset for humanoid robot pose classification.
Pose Classes
neutral
walking_pose
running_pose
sitting_pose
lifting_pose
waving_pose
Structure
dataset/
├── train/
├── validation/
Each split contains pose-labeled image folders.
Total Samples
Train: 600
Validation: 150
Image Format
RGB, 224x224
License
MIT
dataset-openmoji
Dataset OpenMoji
Creator: https://www.kaggle.com/krayc81This is base on https://openmoji.org/License https://creativecommons.org/licenses/by-sa/4.0
Files:
README.md this :)
data.csv containing all data see bellow description
openmoji folder containing the image files
The data.csv contains:
idx the character as int
character text representation
bytes representation
hex representation (replace Ox with U+ for unicode)
description of the emoji
path_black path to the bw image… See the full description on the dataset page: https://huggingface.co/datasets/Kray-C/dataset-openmoji.InSpect
InSpect
InSpect is a curated natural history collection dataset for visual insect specimen understanding. It contains digitized insect specimen images with aligned crops, hierarchical taxonomy, label-derived structured metadata, and fine-grained anatomical part annotations.
Files
specimen_benchmark_metadata.csv: main metadata table. Each row corresponds to one specimen image and includes split information, taxonomic labels, image/crop paths, and label-derived… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-dataset/InSpect.deepfake-detection-dataset-v2
Deepfake Detection Dataset V2
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images
CAM visualization images
CAM overlay images
Comparison images
Labels (real/fake)
Confidence scores
Image captions
Technical and non-technical… See the full description on the dataset page: https://huggingface.co/datasets/saakshigupta/deepfake-detection-dataset-v2.BWS-Data-Solutions
📸 BWS Studio Fashion: Compliance-Native Multimodal Training Tokens (POC)
🛡️ Engineering Evaluation Sandbox (Active 7-Day Access)
Technical Ingestion Portal: s3://createphotos (Whitelisted buckets only)
Secure Evaluation Link: Download BWS_01_Women_Designer_Dresses_Suits.zip
Direct Manifest Auditor: BWS Forensic Manifest Repository
Procurement: All assets are 2026 US CLEAR Act compliant. Access is granted to whitelisted engineering nodes only. Forward your AWS Account ID to… See the full description on the dataset page: https://huggingface.co/datasets/BWS-Data-Solutions/BWS-Data-Solutions.hse-safety-inspection-data
HSE Inspection Reports Dataset
Labeled industrial safety inspection records for training HSE compliance models.
Overview
This dataset contains structured inspection reports from industrial facility safety walkthroughs. Each record documents observed conditions, violation categories, severity levels, and recommended actions — designed for training and evaluating vision-language models on HSE compliance tasks.
Structure
File
Description
Format… See the full description on the dataset page: https://huggingface.co/datasets/davidfertube/hse-safety-inspection-data.Disaster-Type_Classification_Dataset_for_Automated_Fact-Checking
DTCD-AFC: Disaster-Type Classification Dataset for Automated Fact-Checking
Overview
The DTCD-AFC is a dataset designed for disaster-type classification evaluation for automated fact-checking.
It consists of multimodal social media posts collected based on past natural disasters, each labeled with the disaster type to which its content relates.
The social media posts are sourced from CrisisMMD.
Files
disaster_type_classification_dataset_for_afc.csv: The CSV… See the full description on the dataset page: https://huggingface.co/datasets/o-yas/Disaster-Type_Classification_Dataset_for_Automated_Fact-Checking.minicar-dataset
🏎️ MiniCar Autonomous Driving Dataset
自動運転ミニカー用のトレーニングデータセット
概要
このデータセットには以下が含まれます：
カメラ画像
センサーデータ（IMU等）
アノテーション（ステアリング角度、スロットル）
データ構造
minicar-dataset/
├── train/
│ ├── images/ # カメラ画像 (JPG/PNG)
│ ├── sensors/ # センサーデータ (CSV)
│ └── annotations.csv # ラベルデータ
├── test/
│ └── ...
└── README.md
使い方
from datasets import load_dataset
dataset = load_dataset("Romihi50/minicar-dataset")
# トレーニングデータ
for sample in… See the full description on the dataset page: https://huggingface.co/datasets/Romihi50/minicar-dataset.