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ZaidGhazal/world-models-eval

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Preview for ZaidGhazal/world-models-eval

Dataset Analysis

DreamGrasp: Processed LIBERO Manipulation Demonstrations Does a robot policy's evaluation still mean something if it never touched a real simulator, only a world model's imagination of one? This dataset is the shared training data behind that question, a single, ready-to-train release built from LIBERO's manipulation demonstrations (libero_spatial, libero_object, libero_goal). It provides: Fixed, versioned train / validation / test / held-out splits, so every result trained on… See the full description on the dataset page: https://huggingface.co/datasets/ZaidGhazal/world-models-eval.

Provenance

Collected from huggingface-datasets.

downloads=174, likes=0, license=mit

Resources

Tags

task_categories:roboticslicense:mitsize_categories:100K<n<1Mformat:parquetmodality:tabularmodality:timeseriesmodality:videolibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantlibrary:lerobotarxiv:2306.03310region:uslerobotliberoroboticsrobot-learningworld-model-evaluationimitation-learningvision-language-actionpolicy-evaluation