DATASET FACET · ROBOT
Simulation datasets for physical AI
Synthetic robot environments used for scalable benchmark and policy development.
DIRECT ANSWER
Simulation pages collect datasets where this robotis materially relevant, then add truelabel’s commercial use, consent risk, and deployment fit notes so buyers can decide whether public data is enough.
MATCHED DATASETS
16 catalog entries
16 of 16 datasets
RT-1
Published May 2026 · custom
A robotics transformer data release associated with language-conditioned robot manipulation research.
- Large language-conditioned robot demonstrations described in the source paper and project materials.
- Commercial use unclear
- Best for: language-conditioned robotics
RoboMimic
Published May 2026 · mit
A benchmark and dataset framework for robot imitation learning with standardized tasks and evaluation utilities.
- Benchmark datasets and demonstration formats vary by task suite.
- Source appears permissive; verify data terms
- Best for: imitation-learning baselines
Meta-World
Published May 2026 · mit
A simulated manipulation benchmark for multi-task and meta-reinforcement learning.
- Benchmark suite of simulated manipulation tasks.
- Source appears permissive; verify data terms
- Best for: multi-task RL
RLBench
Published May 2026 · custom
A simulated robot learning benchmark with many manipulation tasks in CoppeliaSim.
- Large simulated task suite; source materials define current task count.
- Commercial use unclear
- Best for: simulated manipulation
CALVIN
Published May 2026 · custom
A benchmark for language-conditioned long-horizon robot manipulation in simulated environments.
- Long-horizon simulated benchmark and demonstrations.
- Commercial use unclear
- Best for: language-conditioned policy evaluation
ManiSkill
Published May 2026 · apache-2
A simulation benchmark and toolkit for manipulation skills and embodied AI policy evaluation.
- Simulation suite with tasks and environments maintained by the ManiSkill project.
- Source appears permissive; verify data terms
- Best for: simulated manipulation
Habitat datasets
Published May 2026 · custom
A family of embodied AI datasets and simulation assets for navigation and rearrangement research.
- Multiple scene and task datasets under the AI Habitat ecosystem.
- Commercial use unclear
- Best for: embodied navigation
AI2-THOR
Published May 2026 · apache-2
An interactive simulated environment for embodied AI agents in household-like scenes.
- Interactive household simulation scenes and tasks.
- Source appears permissive; verify data terms
- Best for: embodied agent research
BEHAVIOR
Published May 2026 · custom
A benchmark for household activities and embodied AI tasks in simulation.
- Household activity benchmark and simulation assets.
- Commercial use unclear
- Best for: household task taxonomies
ObjectFolder
Published May 2026 · custom
A dataset family for object-centric physical properties, geometry, and multimodal perception research.
- Object-centric multimodal assets; source materials define current object count and modalities.
- Commercial use unclear
- Best for: object perception
DexMV
Published May 2026 · custom
A dexterous manipulation dataset focused on multi-view visual observations and hand-object interaction.
- Dexterous manipulation demonstrations and visual observations; verify source for release details.
- Commercial use unclear
- Best for: dexterous manipulation
RoboSuite
Published May 2026 · mit
A simulation framework and benchmark suite for robot manipulation tasks.
- Simulation tasks and assets for manipulation research.
- Source appears permissive; verify data terms
- Best for: robot manipulation simulation
RoboCasa
Published May 2026 · custom
A large-scale kitchen simulation framework and dataset family for everyday manipulation tasks in diverse household environments.
- RoboCasa365 source materials describe 365 everyday tasks, 2,500 kitchen environments, 600+ hours of human demonstration data, and 1,600+ hours of synthetic demonstrations.
- Commercial use unclear
- Best for: large-scale kitchen simulation
LIBERO
Published May 2026 · custom
A benchmark suite for lifelong robot learning and language-conditioned manipulation tasks.
- Benchmark datasets are organized around multiple LIBERO task suites, including spatial, object, goal, and long-horizon manipulation variants.
- Commercial use unclear
- Best for: VLA benchmark evaluation
RoboTurk
Published May 2026 · custom
A large-scale teleoperation data collection platform and dataset family for robot manipulation tasks.
- Project materials describe over 100 hours of real robot data and thousands of successful manipulation demonstrations collected through remote users.
- Commercial use unclear
- Best for: teleoperation collection design
LeRobot datasets
Published May 2026 · custom
A Hugging Face robotics dataset ecosystem and standardized dataset format for multimodal robot learning data.
- LeRobot documentation describes a standardized dataset ecosystem on Hugging Face Hub using Parquet for tabular data and MP4 for video observations.
- Commercial use unclear
- Best for: robotics dataset distribution
READ THE TAG WITH CARE
Do not treat this tag as the whole sourcing decision
Facet groupings are discovery aids, not final recommendations. A shared modality, task, robot, format, license, or commercial-use label only says that datasets are worth comparing; it does not prove that the source is safe, complete, or useful for a target model.
Use this grouping to shortlist candidates, then open the dataset profiles, run fit and license checks, and compare sources against the buyer's target environment. Thin tag results become useful only when they route the reader into deeper evidence and action surfaces.
The external references below keep the facet grounded in robotics data practice. They help reviewers understand why format, embodiment, trajectory quality, licensing, and real-world coverage matter before a team commits engineering time to ingestion.
When a facet has only a few matching datasets, treat that as a signal rather than a weakness. It may mean the public corpus is thin for that robot, task, or format, and the next move is a custom supplement with the facet written into acceptance criteria.
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
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