ToferFish/RawVLA-Bench

RawVLA-Bench RawVLA-Bench is a paired training-trajectory dataset for studying RAW-domain visual frontends for vision-language-action (VLA) policies. It is derived from successful expert trajectories in LIBERO and RoboTwin 2.0. Each trajectory has a RAW input version captured or rendered under a sampled lighting condition and a paired default-light RGB target. The pair shares the same trajectory identity, actions, robot states, frame count, and relative path. Failed trajectories… See the full description on the dataset page: https://huggingface.co/datasets/ToferFish/RawVLA-Bench.

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