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MarcelTorne/fold_pants_preferences

fold_pants — pairwise preferences on a Franka Panda Real-robot trajectories for "fold the shorts" 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 536 Frames 530… See the full description on the dataset page: https://huggingface.co/datasets/MarcelTorne/fold_pants_preferences.

Author / organizationMarcelTorne
License (as declared)mit
Downloads1.3K (as reported by Hugging Face)
Likes0
Created18 August 2026
Last updated at source18 August 2026
LeRobotroboticspreference-learningreward-modellingrlhfmanipulationfranka
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