datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
INTELLECT-3-RLsyntheticDocQA_artificial_intelligence_test_beirBEIR version of vidore/syntheticDocQA_artificial_intelligence_test.
syntheticDocQA_artificial_intelligence_test_beirBEIR version of vidore/syntheticDocQA_artificial_intelligence_test.
domain-intelligence-dataset
Domain Intelligence Dataset
A large-scale, derived snapshot of the public internet's domain graph: who links to whom, where domains resolve, which nameservers host them, how their DNS records change over time, and computed authority/spam signals on top.
Built from three public sources:
ICANN CZDS zone files — daily TLD zone snapshots (.com, .net, .org, …) giving the authoritative set of registered domains and their nameserver delegations.
CommonCrawl WARC archives — parsed… See the full description on the dataset page: https://huggingface.co/datasets/sskapci/domain-intelligence-dataset.pypi-clean-derived-v4-completion
PyPI clean — v4 completion partitions
This public repository stores only the previously missing partitions of a
scope-aware Python derivative of vikp/pypi_clean.
It is not independently a complete copy of that derivative. A completion plan
lists the 1,695 existing local partitions and 801 requested completion partitions.
Outputs under v4-completion/<transform fingerprint>/ contain linked files,
units, and edges Parquet tables, per-partition state and checksummed receipts.
Each… See the full description on the dataset page: https://huggingface.co/datasets/IntellAgents/pypi-clean-derived-v4-completion.realman_aidal_desktop_cleanupThe dataset was collected and open-sourced by IO Intelligence, and exported in the LeRobot format provided by the IO Data Platform.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "custom_arm",
"total_episodes": 1099,
"total_frames": 246816,
"total_tasks": 323,
"total_videos": 4396,
"total_chunks": 2,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1099"
},
"data_path":… See the full description on the dataset page: https://huggingface.co/datasets/io-intelligence/realman_aidal_desktop_cleanup.gello_dataThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 30,
"total_frames": 2917,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:30"
},
"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/ipa-intelligent-mobile-manipulators/gello_data.docqa_artificial_intelligence_beirThis is a copy of https://huggingface.co/datasets/jinaai/docqa_artificial_intelligence reformatted into the BEIR format. For any further information like license, please refer to the original dataset.
Disclaimer
This dataset may contain publicly available images or text data. All data is provided for research and educational purposes only. If you are the rights holder of any content and have concerns regarding intellectual property or copyright, please contact us at "support-data… See the full description on the dataset page: https://huggingface.co/datasets/jinaai/docqa_artificial_intelligence_beir.studytable_open_drawer_depthThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 22079,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:50"
},
"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/ipa-intelligent-mobile-manipulators/studytable_open_drawer_depth.gello_hand_simThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 8109,
"total_tasks": 1,
"total_videos": 150,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:50"
},
"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/ipa-intelligent-mobile-manipulators/gello_hand_sim.studytable_open_drawerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 22079,
"total_tasks": 1,
"total_videos": 150,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:50"
},
"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/ipa-intelligent-mobile-manipulators/studytable_open_drawer.so101_stack_cupsThis dataset was created using LeRobot.
Dataset Description
SO-101 (so_follower) teleoperation dataset for stacking cups. Contains 660 episodes / 188035 frames at 30 FPS, with three RGB cameras (observation.images.front, observation.images.top, observation.images.wrist) and 6-DoF joint state/action. Task prompt: "Stack the cups". Stored in LeRobot v3.0 format.
Homepage: https://huggingface.co/datasets/io-intelligence/so101_stack_cups
Paper: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/io-intelligence/so101_stack_cups.details_Omartificial-Intelligence-Space__al-baka-llama3-8b-experimental
Dataset Card for Evaluation run of Omartificial-Intelligence-Space/al-baka-llama3-8b-experimental
Dataset automatically created during the evaluation run of model Omartificial-Intelligence-Space/al-baka-llama3-8b-experimental.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Omartificial-Intelligence-Space__al-baka-llama3-8b-experimental.objaverse.data.intelligence
Objaverse Data Intelligence: Scene-Level Structural Analysis and Decomposition Metadata
Large-scale scene-level geometry, structure, and material analysis of ~680K Objaverse assets, designed for ML-ready filtering, structural decomposition, and dataset curation.
🎥 Watch Reel
Quick Navigation
Overview
Key Features
Dataset Structure
Additional Files
Dataset Statistics
Classification & Detection Quality
Attribution
Citation
License
Acknowledgements… See the full description on the dataset page: https://huggingface.co/datasets/milimlee-synth3d/objaverse.data.intelligence.gello_data_sim_camThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 7767,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:50"
},
"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/ipa-intelligent-mobile-manipulators/gello_data_sim_cam.new_hand_camThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 7986,
"total_tasks": 1,
"total_videos": 150,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:50"
},
"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/ipa-intelligent-mobile-manipulators/new_hand_cam.Uncovering_LVLM_BiasWipeTable_DualArxR5a_TeleXperienceThis dataset was created using LeRobot.
Dataset Description
73 real-robot teleoperation episodes for “Wipe the table.” on a DualArxR5a dual-arm robot. Format: LeRobot v3.0 (30 Hz parquet + H.264 videos).
Collected with TeleXperience, IO-AI’s product for real-robot teleoperation and data collection.
Task / language prompt: Wipe the table.
Robot: DualArxR5a (bimanual, parallel-jaw grippers)
Frames: 629523 at 30 Hz
Cameras: camera_high (overhead), camera_low (lower scene)… See the full description on the dataset page: https://huggingface.co/datasets/io-intelligence/WipeTable_DualArxR5a_TeleXperience.gello_data_simThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 30,
"total_frames": 4164,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:30"
},
"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/ipa-intelligent-mobile-manipulators/gello_data_sim.Task_cyclo_intelligence_pickplacetip_lerobot_v21
Task_0001_pickplacetip_MCAP
Created with Cyclo Intelligence by ROBOTIS.
egolongqa-junior-distill
EgoLongQA junior-perceiver distillation data
Supervision for training a small VLM as the junior perceiver of an egocentric long-video
QA pipeline. Input protocol: ~100 UNIFORM frames of the whole video (max dim 768) + an MCQ
question. Output: a timestamped <video_description> followed by
<answer><choice>X</choice><reason>..</reason><citation>..</citation></answer>.
Configs
sft — teacher traces harvested from large-model agentic runs (122B / 27B / gemma juniors).… See the full description on the dataset page: https://huggingface.co/datasets/ambient-intelligence-labs/egolongqa-junior-distill.gello_data_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 15,
"total_frames": 1293,
"total_tasks": 1,
"total_videos": 30,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:15"
},
"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/ipa-intelligent-mobile-manipulators/gello_data_test.code-propriete-intellectuelle
Code de la propriété intellectuelle, non-instruct (2025-03-10)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of free… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-propriete-intellectuelle.global-asset-market-cap-intelligence
Global Asset Market Capitalization Intelligence Dataset (GAMCID)
What is GAMCID?
GAMCID is a research-grade, machine-learning-ready dataset capturing the historical evolution of global assets ranked by market capitalization. It covers public companies, precious metals, cryptocurrencies, ETFs, and commodities — sourced from CompaniesMarketCap.com.
Why does it exist?
Existing financial datasets typically focus on single asset classes (stocks OR crypto… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/global-asset-market-cap-intelligence.masmils-global-mineral-resource-intelligence
Quick Links
Website
GitHub
Hugging Face
LinkedIn
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MAS/MILS Global Mineral-Resource Intelligence, Modernized
1,846 mineral-property and processing-facility point features derived from
MAS/MILS (Minerals Availability System / Mineral Industry Location System),
originally built by the U.S. Bureau of Mines and transferred to USGS in
1996. No geological reinterpretation or machine-learning modelling is
performed — attributes and geometries… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/masmils-global-mineral-resource-intelligence.cyclo_intelligence_subtask_failed_dataset_test_lerobot_v21
Task_1_subtask_failed_dataset_test_MCAP
Created with Cyclo Intelligence by ROBOTIS.
subscriber-retention-intelligence
Subscriber Retention Intelligence
Complete transformed analytical corpus behind the Subscriber Retention Intelligence product. Release public-m12 contains 442,211,685 accepted rows in 32 Zstandard-compressed Parquet files.
Contents
Configuration
Grain
Rows
member
One row per subscriber
6,769,473
subscription_transaction
One row per accepted transaction
22,975,416
churn_label
One subscriber per observed label window
1,963,891
listening_day
One… See the full description on the dataset page: https://huggingface.co/datasets/vaibhavkhurana/subscriber-retention-intelligence.ds_benchmark_upv_lastexamcybersec-threat-intel-qa
Cybersecurity Threat Intelligence QA Dataset
A verified binary forecasting dataset covering cybersecurity threats, vulnerabilities, and incident response — generated using the Lightning Rod Labs SDK.
Dataset Summary
455 verified binary forecasting QA pairs across 14 cybersecurity subcategories, covering 90 days of real-world cybersecurity news (November 2025 – February 2026). Each entry includes a question, a verified yes/no label, detailed multi-paragraph reasoning with… See the full description on the dataset page: https://huggingface.co/datasets/blackboxanalytics/cybersec-threat-intel-qa.arx_pick_block
ARX Pick Block Dataset
This dataset was created using LeRobot and contains dual-arm robotic manipulation demonstrations for pick-and-place tasks.
Task Overview
This dataset contains demonstrations of a dual-arm robotic manipulation task where the robot picks up a block from a desk and places it into a plate.
Task Details
Task Objective: Pick up the block from the desk and place into plate
Operational Objects: Block
Operation Duration: Each… See the full description on the dataset page: https://huggingface.co/datasets/io-intelligence/arx_pick_block.