Records
3
HF AUTHOR CLUSTER
OpenDriveLab-org robotics datasets
3 robotics-tagged HF records from OpenDriveLab-org, totaling 14,785 cumulative downloads. Some records cite published arxiv research.
DIRECT ANSWER
Author clusters consolidate every record from one publisher into a single buyer-review surface. OpenDriveLab-org ships 3 robotics datasets on Hugging Face. Top license: cc-by-nc-sa-4.0. Of those, 3 get a full standalone page, 0 get a shorter profile, and 0 are folded into this cluster.
Cumulative downloads
14,785
Top license
cc-by-nc-sa-4.0
DATASETS
All 3 robotics records from OpenDriveLab-org
3 of 3 datasets
Kai0
Published Mar 2026 · cc-by-nc-sa-4.0 · OpenDriveLab-org
KAI0. Contents About the Dataset Load the Dataset Download the Dataset Dataset Structure Folder hierarchy Details License and Citation About the Dataset ~134 hours real world scenarios Main Tasks Task_A Single task Initial state: T-shirts…
- 12,110 downloads
- 34 likes
- 1K<n<10K
SimScale
Published Jan 2026 · apache-2.0 · OpenDriveLab-org
Haochen Tian, Tianyu Li, Haochen Liu, Jiazhi Yang, Yihang Qiu, Guang Li, Junli Wang, Yinfeng Gao, Zhang Zhang, Liang Wang, Hangjun Ye, Tieniu Tan, Long Chen, Hongyang Li 📧 Primary Contact: Haochen Tian ([email protected]) 📜…
- 1,537 downloads
- 1 likes
- 10M<n<100M
- Paper available
TAMEn
Published Apr 2026 · cc-by-nc-sa-4.0 · OpenDriveLab-org
TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks 🎯 Overview TAMEn builds upon the UMI paradigm with key enhancements in multimodality, precision-portability synergy, replayability, and data…
- 1,138 downloads
- not specified
- Paper available
KEEP DIGGING
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.
Where to go next
- Physical AI dataset catalogUse the catalog to compare source-backed dataset profiles by modality, task, rights signal, consent risk, and deployment fit.
- Hugging Face robotics indexScan the broader robotics dataset surface before narrowing into promoted profiles, comparisons, and custom collection specs.
- Dataset changelogTrack source updates, licensing notes, and buyer-readiness changes that should trigger a renewed review.
- Dataset fit checkerScore whether a public source is enough for the model, rights path, modalities, and target environment.
- License risk checkerSeparate source license language from contributor consent, redistribution, private-space risk, and model-use assumptions.
- Data spec generatorTurn a public-source gap into a scoped capture request with sample QA, metadata, and delivery requirements.
- Vendor alternatives hubCompare data providers when the answer is not another public dataset but a better sourcing or capture route.
- Data annotation companiesUse the company index to separate annotation vendors, data engines, marketplaces, and specialist capture teams.
Other places to verify the claims
- Scale AI physical AI data engineMarket context for why physical AI systems need custom, enriched, real-world data beyond generic labeling workflows.
- LeRobot documentationRobotics dataset and tooling context for Hugging Face based collection, sharing, conversion, and training workflows.
- Open X-EmbodimentA cross-embodiment robotics dataset reference for comparing trajectory scale, robot diversity, and VLA training assumptions.
- DROID datasetA large in-the-wild robot manipulation dataset reference for real-world trajectory capture and deployment transfer risk.
TRUELABEL ROUTING
Need data like OpenDriveLab-org 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.