CLARU
hz19198102020MIT

Short-MetaWorld Dataset

A curated dataset from Meta-World containing Multi-Task 10 (MT10) and Meta-Learning 10 (ML10) tasks with 100 successful trajectories per task and 20 steps per trajectory, designed for multi-task robot learning and vision-language robotics research.

Downloads301
Episodes2000
Likes1

Why This Matters for Physical AI

This dataset enables research in multi-task robot learning and vision-language understanding by providing diverse manipulation demonstrations with natural language annotations across standardized simulation environments.

Technical Profile

Modalities
rgbproprioception
Action Space
joint_velocities
Environment
simulation
Task Types
manipulationpick_and_placepushingreachinggrasping
Episodes
2000
Data Format
JPEG images with pickle features
Annotation Types
language_instructionsaction_labels
License
MIT
Part of the Meta-World family

Community Signals

Top 50% by downloads

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