MarcelTorne/put_cube_in_bowl_preferences

put_cube_in_bowl — pairwise preferences on a Franka Panda Real-robot trajectories for "put the cube in the bowl" with human pairwise preference labels on multiple judgment axes. Built for reward-model / preference-learning research: every label is a comparison of two trajectories on one named axis, not a scalar score. The trajectory data is a standard LeRobot v2.1 dataset, so it also loads directly as an imitation-learning dataset. Contents Episodes… See the full description on the dataset page: https://huggingface.co/datasets/MarcelTorne/put_cube_in_bowl_preferences.

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