Records
14
HF AUTHOR CLUSTER
lerobot-data-collection robotics datasets
14 robotics-tagged HF records from lerobot-data-collection, totaling 66,470 cumulative downloads.
DIRECT ANSWER
Author clusters consolidate every record from one publisher into a single buyer-review surface. lerobot-data-collection ships 14 robotics datasets on Hugging Face. Top license: apache-2.0. Tier breakdown: 14 indexable as Tier A, 0 as Tier B, 0 demoted (those URLs redirect here).
Cumulative downloads
66,470
Top license
apache-2.0
DATASETS
All 14 robotics records from lerobot-data-collection
14 of 14 datasets
level12_rac_2_2026-02-07_and_mir
18,546 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 10770, "total_frames": 26748966, "total_tas
level12_rac_2_2026-02-07
13,951 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 5551, "total_frames": 13805156, "total_task
level12_rac_2_2026-02-05_ag
9,997 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 5413, "total_frames": 13497374, "total_task
level12_rac_2_2026-02-04
9,734 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 5357, "total_frames": 13251592, "total_task
level2_final_quality2_augmented
3,360 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 2366, "total_frames": 6205242, "total_tasks
dagger_final_1_21
1,993 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 1, "total_frames": 841, "total_tasks": 1, "
level2_final_quality2
1,753 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 1183, "total_frames": 3102621, "total_tasks
level2_final_quality3_trim_0_hil_data
1,631 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 1319, "total_frames": 3414338, "total_tasks
level2_final_quality3_t_0_hil_data_c
1,488 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 1319, "total_frames": 3414338, "total_tasks
level2_final_quality3_trim
1,436 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 1197, "total_frames": 3146294, "total_tasks
level12_rac_2_2026-02-09
1,066 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 537, "total_frames": 1835987, "total_tasks"
level1_final_quality0
566 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 631, "total_frames": 1055899, "total_tasks"
level12_quality0_2026-02-08
499 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 258, "total_frames": 595888, "total_tasks":
level2_final_quality3
450 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "openarms_follower", "total_episodes": 1200, "total_frames": 3254196, "total_tasks
RESEARCH PATHS
Use this record as part of a broader dataset review
A dataset record is only useful when it connects into the rest of the buyer workflow. The next review step is usually not another summary; it is a fit check, rights triage, source comparison, or custom bounty spec that names the missing proof.
For physical AI teams, the hard question is whether the public source can support a specific model objective under real deployment constraints. That requires adjacent dataset records, tools, comparisons, and sourcing paths, plus external references that a reviewer can open and challenge.
Use the links below to keep the review grounded. Start broad when discovery is incomplete, move into profile and comparison pages when the candidate source is known, and switch to custom collection when the blocker is rights, consent, geography, robot embodiment, or target environment coverage.
INTERNAL LINKS
Continue the buyer workflow
Physical AI dataset catalog
Use the catalog to compare source-backed dataset profiles by modality, task, rights signal, consent risk, and deployment fit.
Hugging Face robotics index
Scan the broader robotics dataset surface before narrowing into promoted profiles, comparisons, and custom collection specs.
Dataset changelog
Track source updates, licensing notes, and buyer-readiness changes that should trigger a renewed review.
Dataset fit checker
Score whether a public source is enough for the model, rights path, modalities, and target environment.
License risk checker
Separate source license language from contributor consent, redistribution, private-space risk, and model-use assumptions.
Data spec generator
Turn a public-source gap into a scoped capture request with sample QA, metadata, and delivery requirements.
Vendor alternatives hub
Compare data providers when the answer is not another public dataset but a better sourcing or capture route.
Data annotation companies
Use the company index to separate annotation vendors, data engines, marketplaces, and specialist capture teams.
EXTERNAL REFERENCES
Source context to verify
Scale AI physical AI data engine
Market context for why physical AI systems need custom, enriched, real-world data beyond generic labeling workflows.
LeRobot documentation
Robotics dataset and tooling context for Hugging Face based collection, sharing, conversion, and training workflows.
Open X-Embodiment
A cross-embodiment robotics dataset reference for comparing trajectory scale, robot diversity, and VLA training assumptions.
DROID dataset
A large in-the-wild robot manipulation dataset reference for real-world trajectory capture and deployment transfer risk.
TRUELABEL ROUTING
Need data like lerobot-data-collection ships, but with cleaner rights?
If the Hub records don't carry the license, consent, or deployment fit your team needs, commission a custom collection on the same modality with explicit commercial terms.