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Imaging · dataset · 2026

RawVLA-Bench

Listed in Hugging Face Datasets

RawVLA-Bench RawVLA-Bench is a paired training-trajectory dataset for studying RAW-domain visual frontends for vision-language-action (VLA) policies.

Description

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: huggingface.co/datasets/ToferFish/RawVLA-Bench.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
image · robotics
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsToferFish/RawVLA-Bench10 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:roboticssource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0