mulliganMIT
real-marker-d2-c00-teleop-validation
A validation dataset containing 50 episodes of teleoperated robot manipulation tasks with marker tracking, part of the Mulligan project and Policy Arena benchmark.
Downloads203
Episodes50
Why This Matters for Physical AI
This validation dataset provides benchmark teleoperation demonstrations with multi-view camera observations for evaluating robot manipulation policies in controlled settings.
Technical Profile
- Modalities
- rgb
- Task Types
- manipulation
- Episodes
- 50
- Data Format
- parquet
- Annotation Types
- language_instructionsreward_labels
- License
- MIT
Access
Need custom rgb data?
Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.
Request a Sample Pack