MarcelTorne/plate_toast_preferences

plate_toast — pairwise preferences on a Franka Panda Real-robot trajectories for "put the toast in the plate" 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 271… See the full description on the dataset page: https://huggingface.co/datasets/MarcelTorne/plate_toast_preferences.

<iframe src="https://silytics.si/embed/item/872d1c1b-df33-49f6-a108-0dcc5881f96a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.