IPEC-COMMUNITY
Top license: apache-2.0 · arxiv-cited research
HF AUTHOR INDEX
Hugging Face robotics datasets by author
The 1,001 robotics-tagged HF records ship from 38 authors with three or more datasets each. Author clusters are the canonical destination for buyer queries like "Stanford robotics datasets" or "NVIDIA physical AI datasets" that aren't well-served by individual record pages.
DIRECT ANSWER
Each cluster aggregates every record from one author — including ones folded in because the standalone record is too thin to be useful on its own. Clusters surface the author’s license posture, total downloads, top modalities, and any arxiv-cited research records. 667 records across 38 authors.
38 AUTHORS
Authors with three or more robotics datasets
cadene
Top license: apache-2.0 · arxiv-cited research
nvidia
Top license: cc-by-4.0 · arxiv-cited research
InternRobotics
Top license: not specified · arxiv-cited research
lerobot
Top license: mit · arxiv-cited research
RoboCOIN
Top license: apache-2.0 · arxiv-cited research
agibot-world
Top license: not specified
lerobot-data-collection
Top license: apache-2.0
HuggingFaceVLA
Top license: apache-2.0 · arxiv-cited research
unitreerobotics
Top license: apache-2.0 · arxiv-cited research
jnogga
Top license: cc-by-4.0
Traly
Top license: apache-2.0 · arxiv-cited research
OpenDriveLab-org
Top license: cc-by-nc-sa-4.0 · arxiv-cited research
allenai
Top license: cc-by-4.0 · arxiv-cited research
FedorX8
Top license: apache-2.0 · arxiv-cited research
leggedrobotics
Top license: mit · arxiv-cited research
ByteRainx
Top license: apache-2.0
fleaven
Top license: cc-by-4.0
spatialverse
Top license: cc-by-nc-4.0 · arxiv-cited research
shihao1895
Top license: mit · arxiv-cited research
Factory-Intelligence
Top license: apache-2.0
Joocjun
Top license: apache-2.0
haosulab
Top license: apache-2.0 · arxiv-cited research
ygtxr1997
Top license: apache-2.0
open-world-agents
Top license: cc-by-nc-4.0 · arxiv-cited research
Gongsta
Top license: apache-2.0
oxe-auge
Top license: cc-by-4.0 · arxiv-cited research
villekuosmanen
Top license: apache-2.0
Mimic-Robotics
Top license: apache-2.0
BeingBeyond
Top license: cc-by-4.0 · arxiv-cited research
andreaskoepf
Top license: apache-2.0
SUZ-tsinghua
Top license: apache-2.0
VLA-Arena
Top license: apache-2.0
DRMNmadhan
Top license: apache-2.0
arth-shukla
Top license: mit · arxiv-cited research
TESS-Computer
Top license: mit · arxiv-cited research
autobio-bench
Top license: mit
fbeltrao
Top license: apache-2.0
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
Don't see an author you expected?
The watchlist updates from upstream HF metadata. Authors with fewer than three robotics-tagged records appear under their individual dataset pages but don't get their own cluster.