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Huiqiong0124/RoboTrustBench_Dataset

RoboTrustBench Dataset RoboTrustBench is a benchmark for evaluating the trustworthiness of video world models that generate robotic manipulation videos from language instructions and visual observations. This release contains the complete reviewed dataset across four trustworthiness-oriented scenario families: normal, constraint-sensitive, counterfactual, and adversarial cases. Each sample pairs an initial scene image with a natural-language manipulation instruction. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/Huiqiong0124/RoboTrustBench_Dataset.

Author / organizationHuiqiong0124
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Created29 May 2026
Last updated at source22 September 2026
roboticsrobotic-manipulationrobot-safetytrustworthinessvision-languageimagefolder
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