datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
quranic-universal-ayahs
Qur'anic Universal Ayahs
Qur'anic Universal Audio (QUA) is a project that unifies recitations on the internet and generates timing data using forced alignment — community-verified results and constantly expanding dataset.
This dataset pairs ayah by ayah audio with word-level timestamps, DigitalKhatt letter-animation timestamps, and waqf-aware segment data. Repeated words are preserved in text_uthmani and word_timestamps, so the row reflects what the reciter… See the full description on the dataset page: https://huggingface.co/datasets/QUD-Technologies/quranic-universal-ayahs.stack-v3-train
🥞 The Stack v3
What is it?
What is being released
How to download and use it
Dataset statistics
Dataset structure
Dataset creation
Considerations for using the data
Additional information
What is it?
The Stack v3 is the largest, most up-to-date open dataset of source code, crawled directly from GitHub and built to pre-train code LLMs with full-repository context. It is the successor to The Stack v2 and, like its predecessor, is released to make the training… See the full description on the dataset page: https://huggingface.co/datasets/TechnoBaptist/stack-v3-train.euler-structural-equationslibrispeech_asr_sliced
Librispeech Slices
Description
Librispeech is a large corpus of read English utterances derived from the LibriVox public domain audiobook project.
It was assembled to assist in Automatic Speech Recognition tasks, and contains approximately 1000 Hours of utterances recorded at 16kHz.
A subset of the original Librispeech dataset was created to support the development of automatic audio scene creation in the Treble SDK environment.
To better imitate the natural flow of… See the full description on the dataset page: https://huggingface.co/datasets/treble-technologies/librispeech_asr_sliced.ryan-test-white-tableThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 893,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/ryan-test-white-table.betty-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 4,
"total_frames": 3807,
"total_tasks": 1,
"total_videos": 16,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/betty-test.asia-science-technology-world-bank-science-and-technology-indica
Maldives - Science and Technology
Publisher: World Bank Group · Source: HDX · License: cc-by · Updated: 2026-04-28
Abstract
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Technological innovation, often fueled by governments, drives industrial growth and helps raise living standards. Data here aims to shed light on countries technology base: research and development, scientific and technical journal articles… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-science-technology-world-bank-science-and-technology-indica.industrial-technical-archive
🚀 Latest Updates (July, 2026)
Version: v07.2026 (Verified)
Status: Integrated with 1,000,000+ records.
New Files: product-E-26-07-2026.csv & product-V-26-07-2026.csv.
QTE Technologies: Industrial & Scientific Knowledge Base
Wikidata Entity: Q138411149
IPFS CID: bafybeibogxxuhmzfrsuhcfd4qr4tmc4okhmrcwhp3266hq47ccuyjnjxoq
Official Neural Hub: qtetech.github.io
This is the permanent technical archive for QTE Technologies, ensuring long-term accessibility of… See the full description on the dataset page: https://huggingface.co/datasets/QTE-Technologies/industrial-technical-archive.touch-cokeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 10,
"total_frames": 2133,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch-coke.fix-handle-angle-leftThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 10,
"total_frames": 2256,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/fix-handle-angle-left.africa-owid-access-to-clean-fuels-and-technologies-for-cooking
Access To Clean Fuels And Technologies For Cooking | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: other_unclassified - 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.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-access-to-clean-fuels-and-technologies-for-cooking.Locate-pickup-measuring-cup-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 30,
"total_frames": 7048,
"total_tasks": 1,
"total_videos": 120,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:30"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/Locate-pickup-measuring-cup-2.pickup-sauce-bottle-smolvlaThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_widowxai_follower",
"total_episodes": 10,
"total_frames": 2950,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"},
"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/allday-technology/pickup-sauce-bottle-smolvla.pick-up-color-measuring-cupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 297,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/pick-up-color-measuring-cup.IndustryInstruction_Technology-Research
IndustryInstruction: Technology & Research
This repository contains the IndustryInstruction: Technology & Research domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Technology-Research.touch-coke-moreThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 239,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch-coke-more.cupHolderTrainingDataThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 297,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/cupHolderTrainingData.Locate-pickup-soda-canThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 2,
"total_frames": 295,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/Locate-pickup-soda-can.Locate-pickup-measuring-cupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 147,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/Locate-pickup-measuring-cup.touch_coke_fastThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 5,
"total_frames": 743,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:5"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/touch_coke_fast.pickup_chip_bagThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 235,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/pickup_chip_bag.placeOneCoffeeCupHolderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 10,
"total_frames": 3554,
"total_tasks": 1,
"total_videos": 30,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/placeOneCoffeeCupHolder.ryan-test-white-table-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 1765,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/ryan-test-white-table-2.gold-reddit-ai-technology-corpus
Gold Reddit AI and Technology Corpus
Dataset Authors
Ricardo Flores-Moyano, Universidad San Francisco de Quito
Felipe Rosero-Polo, Universidad San Francisco de Quito
José Vega-Sánchez, Universidad San Francisco de Quito
Maria Baldeon-Calisto, Wake Forest University
Dataset Summary
This dataset provides a curated Gold corpus of 1,614 Reddit posts that were
publicly accessible at collection time. The corpus is primarily English, with
a smaller… See the full description on the dataset page: https://huggingface.co/datasets/rickphd/gold-reddit-ai-technology-corpus.soarm_amazing_hand_pick
SO-ARM101 + AmazingHand Grasping Dataset
Teleoperated demonstration dataset for training a grasping policy on an SO-ARM101 arm with an AmazingHand dexterous hand (imitation learning).
Task
Pick up the cube with the dexterous hand — grasp a cube on the table using the dexterous hand.
Hardware & Collection
Component
Description
Follower arm
SO-ARM101, 5 × STS3215 (IDs 1–5); original gripper servo #6 removed
End-effector
AmazingHand, 8 ×… See the full description on the dataset page: https://huggingface.co/datasets/Juxi-Technology/soarm_amazing_hand_pick.genObjectPickup2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 2,
"total_frames": 575,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/genObjectPickup2.general_object_pickupThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 6,
"total_frames": 1706,
"total_tasks": 1,
"total_videos": 18,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:6"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/general_object_pickup.ryan_cafe_experimentThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 297,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits":{
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/ryan_cafe_experiment.eval_act-Locate-pickup-measuring-cup-2-v0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 1,
"total_frames": 287,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/allday-technology/eval_act-Locate-pickup-measuring-cup-2-v0.asia-who-population-with-primary-reliance-on-fuels-and-technologies
Population with primary reliance on fuels and technologies for cooking, by fuel type (in millions) | Asia (WHO GHO)
🌏 23,868 observations · 39 Asia countries · 1990–2023 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 23,868 observations of Population with primary reliance on fuels and technologies for cooking, by fuel type (in millions) data across 39 Asia countries, spanning 1990–2023, covering 1 distinct indicators.
About the… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-population-with-primary-reliance-on-fuels-and-technologies.