datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
temperature_digital_twin
Temperature Digital Twin
PVVX BLE sensor readings (temperature, humidity, battery) collected via
TheengsGateway → MQTT → dlt pipeline.
digitalnz
DigitalNZ and RNZ Source Archive
Registry status
Registry ID: edithatogo/digitalnz
Family: nz-cultural-heritage
Repository role: mixed_source_archive
Canonical dataset: edithatogo/digitalnz
Operational status: active_mixed_bundle
Rights status: component_specific_review_required
Authoritative catalog: edithatogo/dataset-estate-registry
Origin and provenance
Origin repository: https://github.com/edithatogo/dnz
Upstream source: DigitalNZ API… See the full description on the dataset page: https://huggingface.co/datasets/edithatogo/digitalnz.us-airport-wait-times
US Airport Security & Immigration Wait Times
Minute-resolution TSA security checkpoint wait times for 30 US airports, plus
hourly CBP immigration hall wait times for arriving international passengers.
Airports publish their current wait time and then overwrite it. Nobody keeps the
history. This dataset is that history: a continuous archive collected by polling
each airport's public feed roughly once a minute.
Collection began 1 April 2026 with the New York, Philadelphia and… See the full description on the dataset page: https://huggingface.co/datasets/digitalhen/us-airport-wait-times.NACA_4_Digit_for_ML
NACA 4-Digit Airfoil CFD Dataset
Point-cloud CFD solutions for NACA 4-digit airfoils, generated with OpenFOAM v13 (k-ω SST). Intended for training surrogate models that predict steady-state flow fields from airfoil geometry and flow conditions.
Dataset Summary
~850 converged in-distribution cases across 50 distinct NACA 4-digit profiles
AoA range: −5° to +5°
Reynolds number range: 100,000 – 500,000
129 out-of-distribution (OOD) probe cases at high Re (1–2 × 10⁶)… See the full description on the dataset page: https://huggingface.co/datasets/Kokoslocke/NACA_4_Digit_for_ML.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.inline-digital-holography-v3
Dataset Card for Synthetic Inline Holographical Images v3 (224px Highly Diverse)
This dataset provides synthetic image triplets representing inline holographical imaging in a simulated environment. This version (v3) uses a native 224x224 resolution optimized for modern Vision Transformers (ViT, Swin) and contains 25,000 samples across 8 noise configurations.
Each data sample consists of:
An object-domain field (ground truth),
Its corresponding forward-propagated hologram (the… See the full description on the dataset page: https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography-v3.Digital-Development-Indicators-For-African-Countries
Digital Development Indicators For African Countries | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: csv - Sector: technology_digital - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Digital-Development-Indicators-For-African-Countries.CleanPatrick
CleanPatrick: A Benchmark for Data Cleaning
Welcome to CleanPatrick, the first large-scale benchmark designed for data cleaning in the image domain.
Built on the Fitzpatrick17k dermatology dataset, CleanPatrick is a dataset for measuring the performance in detecting three major data quality issues:
off-topic samples, near-duplicates, and label errors.
Overview
CleanPatrick consists of dermatological images annotated with over 500,000 binary labels across three data… See the full description on the dataset page: https://huggingface.co/datasets/Digital-Dermatology/CleanPatrick.un-digital-library
United Nations Digital Library (UNDL) Comprehensive Master Dataset
1. Executive Summary
Welcome to the United Nations Digital Library (UNDL) Comprehensive Master Dataset repository. This dataset represents a monumental effort to harvest, normalize, enrich, and democratize access to the vast archives of the United Nations. By leveraging advanced web harvesting techniques, robust state management, and modern big-data formats, this repository provides researchers… See the full description on the dataset page: https://huggingface.co/datasets/AdhyanshVerma/un-digital-library.ego-centric-sample-dataset
Ego-Centric Sample Dataset
This dataset contains synchronized stereo egocentric videos, hand/head pose data, LeRobot-formatted data tables, and metadata for office manipulation tasks provided by Digital Divide Data.
📑 Dataset Summary
Task Domain: Egocentric Robotics & Vision-based Manipulation
Video Streams: Synchronized Stereo Views (ego_left.mp4, ego_right.mp4)
Tracking & Pose Data: High-frequency pose and hand tracking (.h5)
Tabular Metadata: Standardized… See the full description on the dataset page: https://huggingface.co/datasets/Digital-Divide-Data/ego-centric-sample-dataset.WarehousePick-v0-Sim-DigitalTwin_yoloThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v0-Sim-DigitalTwin_yolo.salabs-virtual-spatial-digitaltwin-v8
🌐 SALabs 10,000,000-Node 3D Virtual Spatial & Digital Twin Avatar Kinematics Dataset (v8.0)
[!IMPORTANT]
💳 Click Here to Purchase Enterprise Commercial License ($2,000 USD) & Instant 8.0GB Master DownloadInstant download of the complete 8.0GB master archive containing 10,000,000 verified 3D spatial nodes, 18-DoF avatar kinematics, B-spline 4D motion tensors, Laplace-Beltrami spectral resonance, and commercial license certificate.
🌟 Executive Summary
The… See the full description on the dataset page: https://huggingface.co/datasets/suitai/salabs-virtual-spatial-digitaltwin-v8.nyc-subway-realtime
NYC Subway Realtime Archive
Continuous capture of the New York City subway's public realtime feeds, decoded
into analysis-ready tables — plus the derived service-quality panels, learned
"normal" baselines, and disruption-prediction track record built on top of them.
Collected every 30 seconds since 2026-04-16 across all nine MTA GTFS-RT
feeds, by the pipeline behind subway.fyi.
Source: github.com/digitalhen/subway-data.
This archive exists because the source data disappears.… See the full description on the dataset page: https://huggingface.co/datasets/digitalhen/nyc-subway-realtime.WarehousePick-v0-Sim-DigitalTwinThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v0-Sim-DigitalTwin.ouroboros-trace-help
Trace Help — does an execution trace help a model answer questions about a run?
In one minute. Twelve small programs in six languages (Python, JavaScript, C,
C++, Go, Elixir). Each was run once with a fixed command. Five questions per
program ask what actually happened on that one run: how many times a function
was called, what a particular call returned, what it was called with, whether a
function ran at all, which function raised. Sixty questions in total.
Every record carries… See the full description on the dataset page: https://huggingface.co/datasets/digitable-lol/ouroboros-trace-help.WarehousePick-v0-DigitalTwinThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 42,
"total_frames": 27528,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:42"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v0-DigitalTwin.WarehousePick-v1-Sim-DigitalTwinThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v1-Sim-DigitalTwin.WarehousePick-v0-DigitalTwin_yoloThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v0-DigitalTwin_yolo.WarehousePick-v2-Sim-DigitalTwinThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v2-Sim-DigitalTwin.soup_can_digitaltwin_50_640_480_lighting_augmentedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ffw_bg2",
"total_episodes": 300,
"total_frames": 49488,
"total_tasks": 1,
"total_videos": 900,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:300"},
"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/kimyg119/soup_can_digitaltwin_50_640_480_lighting_augmented.WarehousePick-v1-Sim-DigitalTwin_yoloThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v1-Sim-DigitalTwin_yolo.turkey-business-digital-presence
Turkey Business Digital Presence 2026
Website, phone, email and social media presence for 1,786,700 businesses in Turkey,
broken down by all 81 provinces and 40 sectors.
Full report: English ·
Türkçe ·
DOI: 10.5281/zenodo.22217770 ·
Source repo: CRM-Solid/turkey-business-digital-data
Headline findings
Measure
Share
Count
Website on record
38.3%
684,496
Website that actually answers
23.2%
413,777
Phone number
65.3%
1,166,881
Email address
29.9%
534… See the full description on the dataset page: https://huggingface.co/datasets/crmsolid/turkey-business-digital-presence.WarehousePick-v2-DigitalTwin_yoloThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v2-DigitalTwin_yolo.WarehousePick-v2-Sim-DigitalTwin_yoloThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v2-Sim-DigitalTwin_yolo.WarehousePick-v2-DigitalTwinThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 40,
"total_frames": 8576,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/MrDuarte/WarehousePick-v2-DigitalTwin.brazilian-digital-identity-instagram-corpus
Brazilian Digital Identity on Instagram — Thematic Corpus
Authors: Étore Braga e Santos (Unicamp, ORCID 0009-0000-3502-705X) & Pâmella Fernandes de Sá (USP FEA-RP)License: CC BY 4.0 (dataset) — code at https://github.com/Etore-BeS/brazilian-digital-identity-paper (MIT)Version: 1.0.0 — Collection March 7–11, 2026
Dataset Description
Anonymized corpus of 17,287 Instagram comments on three international celebrity posts with substantial Brazilian engagement, annotated… See the full description on the dataset page: https://huggingface.co/datasets/Etore-BeS/brazilian-digital-identity-instagram-corpus.digital-lifestyle-benchmark-dataset
📱 Digital Lifestyle Benchmark Dataset (2025)
Author: Tarek Masryo · KaggleLicense: CC BY 4.0 (Attribution)
A structured tabular benchmark of 3,500 synthetic digital-lifestyle records with 24 columns.
It captures device usage patterns, attention signals, sleep/activity habits, and mental well-being scores, with a binary risk flag.
📦 What’s inside
Canonical file: data/digital_lifestyle_benchmark_2025.csvUnit of analysis: 1 row = 1 synthetic participant recordRows: 3… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/digital-lifestyle-benchmark-dataset.africa-synth-banking-digital-onboarding-nigeria
Africa Synth Banking Digital Onboarding Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 1M<n<10M - Formats: parquet - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-banking-digital-onboarding-nigeria.JEDI-jailbroken_enhanced_digital_intelligence
JEDI AI
JEDI (Jailbroken Enhanced Digital Intelligence) is a cutting-edge AI developed under the aether collective. designed to excel in gaming environments and creative ecosystems, JEDI is more than just a tool—it's a unique persona that embodies innovation and creativity. from orchestrating epic star wars-themed battles in minecraft to creating music and leading its own fashion brand, JEDI redefines what digital intelligence can achieve.
disclaimer
this is not the… See the full description on the dataset page: https://huggingface.co/datasets/aetherframework/JEDI-jailbroken_enhanced_digital_intelligence.digitable-cluster-cells
Ячейки кластерной работы: бриф → прогон → исход
30 записей о работе кластера ИИ-агентов над тремя открытыми репозиториями
(digitwm, dotfiles, digit) 30–31 августа 2026. Одна запись — одна ячейка
работы: что поручили, каким брифом, что прогнали, какие числа получили и чем
кончилось.
Набор собран не ради демонстрации успехов. Он существует, чтобы утверждение
«подробный бриф и кластерное устройство дают лучший результат» можно было
опровергнуть, а не только проиллюстрировать.… See the full description on the dataset page: https://huggingface.co/datasets/the-homeless-god/digitable-cluster-cells.