glory-hyeokother
synth100
100 generated video clips for validating Pre-Contact Level Filtering, derived from Fourier Intelligence's ActionNet dataset with counterfactual instructions where the generator is asked to fetch different objects than those in the real episodes.
Downloads33
Episodes100
Why This Matters for Physical AI
This dataset enables validation of vision-based contact prediction and occlusion detection models for robotic manipulation with counterfactual instruction grounding, providing a challenging negative control for evaluating pre-contact filtering in embodied AI systems.
Technical Profile
- Modalities
- rgbdepthproprioceptionlanguage
- Robot Embodiments
- Fourier GR1-T1
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulationgraspingpick_and_place
- Episodes
- 100
- Data Format
- npz
- Annotation Types
- language_instructionssegmentationbounding_boxesaction_labels
- License
- other
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