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This datasets used for post-training GR00T N1 are multimodal collections of trajectories generated in Isaac Lab. It supports humanoid (GR1) tabletop manipulation tasks. Each dataset entry provides the full context (state, vision, language, action) needed to train and evaluate generalist robot policies for tasks like pouring nuts or sorting pipes by color.
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