Dataset · Hugging Face

zzhou292/DreamerBench

Name: DreamerBench
Creator: zzhou292
License: mit
Keywords: task_categories:robotics, task_categories:reinforcement-learning, task_categories:video-to-video, task_ids:grasping, task_ids:task-planning, annotations_creators:machine-generated, language_creators:machine-generated, language:en, license:mit, size_categories:n<1K, region:us, world-model, simulator, friction, contact-dynamics

DreamerBench A simulator-generated, multimodal benchmark for world models in contact-rich, frictional robotic manipulation. DreamerBench provides time-synchronized RGB observations, camera-aligned contact-splat visualizations, proprioception, low-level control actions, and dense physics annotations (contact forces, friction coefficients, and contact-mode flags), together with precomputed discrete visual latents for token-based world models. It is the dataset used to train and… See the full description on the dataset page: https://huggingface.co/datasets/zzhou292/DreamerBench.

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Author / organization	zzhou292
License (as declared)	mit
Downloads	536 (as reported by Hugging Face)
Likes	1
Created	29 October 2025
Last updated at source	30 June 2026

world-modelsimulatorfrictioncontact-dynamicscontact-mechanicsphysics-simulationdynamics-predictionrobotic-manipulationgaussian-splatproject-chrono

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