CLARU
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WM4VLA Benchmark v4

Paper-definitive evaluation benchmark for video world models containing 240 samples across 6 robotic manipulation datasets, filtered for quality and subsampled via sqrt-N–weighted k-means medoid selection.

Downloads66

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
agibotairoa_momadroidinterndatarh20t_cfg5rh20t_cfg7
Environment
lab
Task Types
manipulation
Data Format
mp4
License
MIT
Part of the WM4VLA Benchmark v4 family

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