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InternRobotics/InternData-A1 HF Unverified

InternData-A1 InternData-A1 is a hybrid synthetic-real manipulation dataset containing over 630k trajectories and 7,433 hours across 4 embodiments, 18 skills, 70 tasks, and 227 scenes, covering rigid, articulated, deformable, and fluid-object manipulation. Your browser does not support the video tag. Your browser does not support the video tag.… See the full description on the dataset page: https://huggingface.co/datasets/InternRobotics/InternData-A1.

Task_categories:otherTask_categories:roboticsLanguage:enSize_categories:n>1TModality:3dModality:image
InternRobotics/OmniWorld HF Unverified

[ICLR 2026] OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling         🎉NEWS [2026.3.21] 🔥 OmniWorld-Game with Metric Scale is now released! Check out our latest model Pi3X (an enhanced version of Pi3), which leverages this data to achieve better performance! [2026.1.26] 🎉 OmniWorld was accepted by ICLR 2026! [2026.1.7] Update OmniWorld-Game, release RH20T-Robot, RH20T-Human, Ego-Exo4D, EgoDex, Epic-Kitchens. [2025.11.11] The OmniWorld is… See the full description on the dataset page: https://huggingface.co/datasets/InternRobotics/OmniWorld.

Task_categories:text-To-VideoTask_categories:image-To-VideoTask_categories:image-To-3dTask_categories:roboticsTask_categories:otherLanguage:en
nvidia/PhysicalAI-Robotics-GR00T-Teleop-GR1 HF Unverified

Introduction TL;DR: DreamDojo is a generalist robot world model pretrained on 44k hours of human egocentric data, showing unprecedented generalization to diverse objects and environments. Project page: https://dreamdojo-world.github.io/ Paper: https://arxiv.org/abs/2602.06949 Code: https://github.com/NVIDIA/DreamDojo How to Use Check out https://github.com/NVIDIA/DreamDojo Citation @article{gao2026dreamdojo, title={DreamDojo: A Generalist Robot… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GR00T-Teleop-GR1.

Size_categories:1M<n<10MFormat:parquetModality:tabularModality:videoLibrary:datasetsLibrary:dask
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