datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ReorderBench_train_binary
ReorderBench : A Benchmark for Matrix Reordering
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, along with a scoring method for measuring the quality of visual patterns in these matrices, contributes to building a benchmark. This benchmark is essential for selecting or designing suitable reordering algorithms for revealing specific patterns. In this… See the full description on the dataset page: https://huggingface.co/datasets/reorderbench/ReorderBench_train_binary.ukr-emotions-binary
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Binary: specifically this dataset contains binary labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-binary.FOTBCD-Binary
FOTBCD-Binary
A large-scale building change detection benchmark from French orthophotos and topographic data.
Dataset Description
Property
Value
Departments
28 (25 train / 3 eval)
Image pairs
~28k
Patch size
512×512
Resolution
0.2m
Annotation
Binary mask
Splits
Split
Examples
train
~26k
val
~1k
test
~1k
Features
Field
Type
Description
image_id
string
Unique identifier
image_before
Image
Before… See the full description on the dataset page: https://huggingface.co/datasets/retgenai/FOTBCD-Binary.cambench_binary_eval
CameraBench Binary Evaluation Dataset
A balanced VQA dataset for evaluating camera motion understanding in videos.
📊 Dataset Statistics
Total Questions: 384
Unique Videos: 119
Unique Questions: 31
Yes Answers: 192 (50.0%)
No Answers: 192 (50.0%)
Balance Ratio: 1.00
Total Size: 126.16 MB (0.12 GB)
Average Video Size: 1.06 MB
🎯 Task Categories
This dataset covers various camera motion tasks including:
Static: 42 questions
Move In: 29 questions
Pan Left: 24… See the full description on the dataset page: https://huggingface.co/datasets/tuhink/cambench_binary_eval.10tasks_binary_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "mobile_aloha",
"total_episodes": 40,
"total_frames": 3487,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 3,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/JiaheXu98/10tasks_binary_test.tabero_binarymb-crater_binary_seg
mb-crater_binary_seg
A segmentation dataset for planetary science applications.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-15
Cite As: TBD
Classes
This dataset contains the following classes:
0: Background
1: Crater
Directory Structure
The dataset follows this structure:
dataset/
├── train/
│ ├── images/ # Image files
│ └── masks/ # Segmentation masks… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-crater_binary_seg.places-water-binary
Places — Water or No Water
34 original photographs labelled by whether a body of water is visible, resized to
224x224. Homework 1.
Property
Value
Splits
train (391), validation (5), test (6)
Resolution
224x224 RGB
Target
label — 1 water, 0 no_water
Balance (all originals)
17 water / 17 no_water
Purpose
Binary image classification: is there a body of water in this scene?
Composition
Column
Type
Description
image
image… See the full description on the dataset page: https://huggingface.co/datasets/ssg1/places-water-binary.danyig-pedri-binary-script-classifier
Danyig vs Pedri Binary Script Classification Dataset
Stage-2 binary classifier for distinguishing Danyig (5 subscripts: DraDring, DraRing, Drathung, Gongshabma, Tsegdrig) from Pedri (2 subscripts: Peri, Petsuk). Real-only, all images human-reviewed.
Images per class
Class
train
val
test
All
Danyig
480
60
60
600
Pedri
480
60
60
600
Total
960
120
120
1,200
Splits
Manuscript-stratified split — each manuscript work appears in exactly… See the full description on the dataset page: https://huggingface.co/datasets/BDRC/danyig-pedri-binary-script-classifier.10tasks_binaryThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "mobile_aloha",
"total_episodes": 400,
"total_frames": 41950,
"total_tasks": 10,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 3,
"splits": {
"train": "0:400"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/JiaheXu98/10tasks_binary.plots_llama_3.1_8b_finetuned_binaryisic_binary_sharpened_enhanced10tasks_binary2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "mobile_aloha",
"total_episodes": 400,
"total_frames": 41950,
"total_tasks": 10,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 3,
"splits": {
"train": "0:400"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/JiaheXu98/10tasks_binary2.skin-lesion-HM10000-binary-classificationt
DermAI Workshop: Balanced Binary Skin Lesion Dataset
Dataset Description
This dataset is a modified version of the HAM10000 ("Human Against Machine with 10000 training images") dataset. It has been prepared specifically for educational purposes for the "DermAI: Building an AI-Powered Skin Lesion Classifier" workshop at the UTD Biotech Club.
The original dataset contains 7 classes of skin lesions. This version has been processed into binary classes: 'Benign' and… See the full description on the dataset page: https://huggingface.co/datasets/preetsojitra/skin-lesion-HM10000-binary-classificationt.diabetes_binary_health_indicators_BRFSS2015.csvisac-simo-rebar-binary-demo
isac-simo-rebar-binary-demo
Tiny synthetic rebar-cage GO/NO GO set, mirroring the ISAC-SIMO rebar checks. label 1 = GO (tie spacing within tolerance), 0 = NO GO (spacing too wide or irregular, sometimes with corrosion). Five train / three validation. Teaching use only -- far too small to evaluate a model on.
leicester_loaded_annotations_binary
Dataset Card for "leicester_loaded_annotations_binary"
More Information needed
multimodal-real-estate-search
Dataset Card for "multimodal-real-estate-search"
More Information needed
JDocQA-binarybrain-tumor-binary-classification-dataset
Dataset Card for "brain-tumor-binary-classification-dataset"
More Information needed
isic_binary_sharpened
Dataset Card for "isic_binary_sharpened"
More Information needed
snitch_image_binary_with_proddescall-ultrasound-imagesisic_binary_augmented_enhancedglobal-binary-image
Dataset Card for "global-binary-image"
More Information needed
AICE_binary_dataset
Dataset Card for "AICE_binary_dataset"
More Information needed
mhist_binaryrl-single-binary-1kbinary-2K-samples-skin-lesion-HM10000
DermAI Workshop: Balanced Binary Skin Lesion Dataset
Dataset Description
This dataset is a modified version of the HAM10000 ("Human Against Machine with 10000 training images") dataset. It has been prepared specifically for educational purposes for the "DermAI: Building an AI-Powered Skin Lesion Classifier" workshop at the UTD Biotech Club.
The original dataset contains 7 classes of skin lesions. This version has been processed into binary classes: 'Benign' and… See the full description on the dataset page: https://huggingface.co/datasets/preetsojitra/binary-2K-samples-skin-lesion-HM10000.mimic-cxr-binary-classification-cied-detection-2-5K