CLARU
Spa-Benchapache-2.0

Spa-Bench Teleoperated Training Dataset — 1,200 Episodes

A teleoperated demonstration dataset of 1,200 episodes with five synchronized camera streams used for compositional generalization experiments across six task families involving manipulation and object interactions.

Downloads21
Episodes1,200
Hours5.7

Why This Matters for Physical AI

This dataset enables training and evaluation of vision-language-action models for compositional generalization in robotic manipulation, where policies must generalize to unseen concept-argument combinations while maintaining semantic understanding of task instructions.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
SO-101
Action Space
joint_positions
Environment
home
Task Types
manipulationgraspingpick_and_placecountingrelational_placement
Episodes
1,200
Total Hours
5.7
Data Format
LeRobot
Annotation Types
language_instructionsaction_labels
License
apache-2.0
Part of the Spa-Bench family

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