datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
oxford-pets
Oxford-IIIT Pet Dataset
Images from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.
Homepage: https://www.robots.ox.ac.uk/~vgg/data/pets/
License:
Same as the original dataset.
glaucoma-expert-cot-final
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
glaucoma / not
train.jsonl
823
304 / 519
val.jsonl
92
46 / 46
test.jsonl
159
79 / 80
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train",
"final_diagnosis_GT":… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-final.facial-expression-recognition-dataset
Emotion recognition Dataset
Dataset comprises 199,955 images featuring 28,565 individuals displaying a variety of facial expressions. It is designed for research in emotion recognition and facial expression analysis across diverse races, genders, and ages.
By utilizing this dataset, researchers and developers can enhance their understanding of facial recognition technology and improve the accuracy of emotion classification systems. - Get the data
This dataset includes images… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/facial-expression-recognition-dataset.glaucoma-expert-cot-raw-1077
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
split
expert_cot_trainval.jsonl
915
train (823) + val (92)
expert_cot_test.jsonl
159
test
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train"… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-raw-1077.synthetic-human-expressions-poses-3d
3D Synthetic Human Poses and FACS Expressions Dataset
This is a high-fidelity synthetic dataset consisting of 10,075 pairs of 3D human character renders and detailed natural language annotations.
Dataset Structure & Generation
To ensure consistency, the dataset is generated using a single base 3D human model. The diversity of the dataset is achieved through a wide range of body poses, facial expressions, and camera angles:
Character: 1 base human model.
Camera… See the full description on the dataset page: https://huggingface.co/datasets/nadizik/synthetic-human-expressions-poses-3d.exp03-l23-hardening
Exp 03 / 03b — Klüver L2/3 hardening study (SDXL + SD 3.5)
Pre-registered study from the Operating System Hypothesis project.
Sweep classifier-free guidance across two architectures and score every output
blind, on two independent rubrics, for how far object structure has come apart.
The prediction was written down and committed before the run. The commit
dates in the GitHub repo are the proof.
What is here that is not on GitHub
The 860 generated PNGs. Every text… See the full description on the dataset page: https://huggingface.co/datasets/youssefhassan13/exp03-l23-hardening.sora-explore-dataset
Sora Explore Dataset
Sora Explore Dataset is a corpus of 1,053,676 Sora-generated images for
synthetic-image detection research. The release preserves
206,325,340,988 bytes of original WebP image data without transcoding.
Browse and download
The dataset is stored in 105 Parquet shards, one for each original Sora export
ZIP. train-00000-of-00105.parquet corresponds to source shard 1 and
train-00104-of-00105.parquet corresponds to source shard 105. Each row embeds… See the full description on the dataset page: https://huggingface.co/datasets/abrar71/sora-explore-dataset.Micro_Facial_ExpressionsMicro Facial Expressions Dataset
Dataset ID: LaurenGurgiolo/Micro_Facial_Expressions
Task: Facial Emotion Recognition
License: Refer to source datasets
Languages: N/A
Domain: Computer Vision, Affective Computing
Dataset Description
The Micro Facial Expressions dataset is a combined facial emotion recognition dataset composed of two sources:
FER-2013 – a large-scale grayscale facial expression dataset
Micro-Expression Image Dataset – a curated collection of color facial images representing… See the full description on the dataset page: https://huggingface.co/datasets/LaurenGurgiolo/Micro_Facial_Expressions.epoche-shortcut-experiment
Epoche: teaching one model to bracket a shortcut prior
A small, fully reproducible experiment on shortcut learning: a two-path classifier
learns handwritten digits while a color prior is made correct in 99% of training
examples. We then test whether the same model can be trained to temporarily "bracket"
(switch off) that prior and fall back to evidence-only inference — an idea borrowed,
loosely, from Husserl's epoche (ἐποχή, "suspension").
This repository contains the code… See the full description on the dataset page: https://huggingface.co/datasets/webzuweb/epoche-shortcut-experiment.2-000-Physics-Chemistry-And-Biology-Questions-With-Image-Explanations-Dataset
2,000 Physics, Chemistry, and Biology Questions with Image Explanations Dataset
This collection contains 2,000 high-quality physics, chemistry, and biology questions, featuring a core modality of original images paired with text explanations. The data covers various formats, including multiple-choice, fill-in-the-blanks, experimental, and calculation questions. Each record provides the original question image, precise OCR-extracted text, and detailed step-by-step textual… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/2-000-Physics-Chemistry-And-Biology-Questions-With-Image-Explanations-Dataset.2026.mechaptcha.linear-probe-experiments-giant-20260525
siddharthmb/2026.mechaptcha.linear-probe-experiments-giant-20260525
Paired CAPTCHA image experiments for linear probes over a trained Mechaptcha CNN.
Each example contains a matched image_a and image_b pair generated from the same seed pool.
Intended Use
This dataset is designed for linear probe experiments that compare activations from Batch A against Batch B.
Use label 1 for image_a and label 0 for image_b.
Recommended checkpoint:… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.mechaptcha.linear-probe-experiments-giant-20260525.aigc-security-iddm-anime-experiment
AIGC Security Experiment Materials
This repository contains public report materials for a course experiment on AIGC synthetic image detection and black-box evasion attacks.
The experiment uses an IDDM diffusion model trained on anime face images to generate synthetic images, evaluates a real-vs-synthetic detector, and compares traditional post-processing attacks with black-box pixel-level attacks.
Public Release Scope
Included:
1000 IDDM-generated anime face… See the full description on the dataset page: https://huggingface.co/datasets/hhunugryy/aigc-security-iddm-anime-experiment.expertAB
Video Dataset - consensus-task01-video
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames (first frame from each segment)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv… See the full description on the dataset page: https://huggingface.co/datasets/icomgpu/expertAB.FLIR_IR_Expansion
FLIR IR YOLO expansion
Images from repository FLIR_IR_Expansion
This expansion pack is prepared specifically for training a YOU-ONLY-LOOK-ONCE(YOLO) network. All frames are labeled in the YOLO format. If you want to use this expansion pack for other purposes, images are still available for download but requires manual labeling
Download all dataset
If you want to download all dataset you must do
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/SAE-AAI/FLIR_IR_Expansion.BHDD
Burmese Handwritten Digit Dataset (BHDD)
BHDD is the first publicly available dataset for handwritten Burmese (Myanmar) digit recognition — the Burmese counterpart to MNIST.
87,561 grayscale images (28×28 px) of handwritten Burmese digits across 10 classes, collected from over 150 contributors.
Split
Samples
Balanced?
Train
60,000
Yes (6,000 per class)
Test
27,561
No (natural frequency)
The train/test split is by contributor — no writer's handwriting appears in… See the full description on the dataset page: https://huggingface.co/datasets/expa-ai/BHDD.Facial-Expression
Facial Expression Dataset
Description
This dataset contains images of human faces categorized by emotional expression. It is intended for training and evaluating models for facial expression recognition.
Structure
The dataset is divided into two main folders:
train: Contains images for training the model.
test: Contains images for evaluating the model.
Both train and test folders contain subfolders for each of the 7 emotion categories:
angry
disgusted… See the full description on the dataset page: https://huggingface.co/datasets/Teen-Different/Facial-Expression.Experiment-SLAM-6c-custom-training-dataTemporary ad-hoc dataset for use in private training experiment.
sheep-facial-expression-benchmark
Sheep Facial Expression Benchmark
Prepared OpenFARM sheep facial-expression benchmark data from the public Mendeley Data record 10.17632/y5sm4smnfr.5.
Source
Source dataset: https://data.mendeley.com/datasets/y5sm4smnfr
Source DOI: 10.17632/y5sm4smnfr.5
Related paper DOI: 10.1016/j.compag.2020.105528
License: CC BY 4.0
Splits
{
"train": 172,
"test": 74,
"train_raw": 898,
"test_raw": 225
}
train and test are filtered/balanced views for benchmark and… See the full description on the dataset page: https://huggingface.co/datasets/oliveirabruno01/sheep-facial-expression-benchmark.Micro_Facial_ExpressionsMicro Facial Expressions Dataset
Dataset ID: LaurenGurgiolo/Micro_Facial_Expressions
Task: Facial Emotion Recognition
License: Refer to source datasets
Languages: N/A
Domain: Computer Vision, Affective Computing
Dataset Description
The Micro Facial Expressions dataset is a combined facial emotion recognition dataset composed of two sources:
FER-2013 – a large-scale grayscale facial expression dataset
Micro-Expression Image Dataset – a curated collection of color facial images representing… See the full description on the dataset page: https://huggingface.co/datasets/thesomdeep/Micro_Facial_Expressions.Experiment-Design-Sketch-Image-Classification-Dataset
Experiment Design Sketch Image Classification Dataset
In the field of industrial manufacturing, the design process often relies on a large number of design sketches that need to be quickly converted into actual engineering designs during the subsequent manufacturing stages. However, manually processing these sketches is often time-consuming and prone to errors, currently relying mainly on manual labeling and conversion by designers, which is inefficient and unstable. Existing… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Experiment-Design-Sketch-Image-Classification-Dataset.stage2-exp0-ckpt50-synth500x10-sd302a-20260609
Stage2 Exp0 ckpt50 synthetic SD302A 500x10
This dataset contains synthetic rolled fingerprint images generated with the
Stage-2 Exp0 ControlNet checkpoint at step 50k. The images are arranged in an
SD302A-compatible folder structure:
images/challengers/<SENSOR>/roll/png/<ID>_<SENSOR>_roll_<IMPRESSION>.png
Contents
images/challengers/: 5,000 synthetic PNG images.
manifest.json: dataset counts by sensor.
selection/selection.csv: source real condition image… See the full description on the dataset page: https://huggingface.co/datasets/LamTNguyen/stage2-exp0-ckpt50-synth500x10-sd302a-20260609.NAG-MEQD-Experiment-Data
NAG-ME-QD Experiment Data
Trained model weights, elite archive, and full experiment results from the Neural-Architecture-Generation-using-MAP-Elites-Quality-Diversity research project.
Code repository: github.com/[Nozomi1856]/Neural-Architecture-Generation-using-MAP-Elites-Quality-DiversityAuthor: Pratheeksha Aravind
Experiment configuration
Setting
Value
Dataset
CIFAR-10
MAP-Elites iterations
20
Initial population
10
Evaluation mode
Zero-shot… See the full description on the dataset page: https://huggingface.co/datasets/Nozomi1856/NAG-MEQD-Experiment-Data.