Sign inGet started
Dataset · Hugging Face

facebook/touch-slide

Dataset Details Touch-Slide is a dataset inspired by YCB-Slide. Its purpose is to increase the amount of data from multiple DIGIT sensors for self-supervised learning (SSL) pre-training of the Sparsh model. Touch-Slide consists of human-sliding interactions on toy kitchen objects using the DIGIT sensor. We used 9 objects, as shown below, and collected 5 trajectories for each, resulting in a total of 180k frames. This is a visual example of how the dataset was collected… See the full description on the dataset page: https://huggingface.co/datasets/facebook/touch-slide.

Author / organizationfacebook
License (as declared)cc-by-nc-4.0
Downloads623 (as reported by Hugging Face)
Likes0
Created21 October 2024
Last updated at source21 October 2024
sparshDIGITSSL pre-training
Embed this entry
<iframe src="https://silytics.si/embed/item/6227ee72-4527-43a5-b7ee-ebc652f4bcad" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: Dataset Details Touch-Slide is a dataset inspired by YCB-Slide. Its purpose is to increase the amount of data from multiple DIGIT sensors for self-supervised learning (SSL) pre-training of the Sparsh model. Touch-Slide consists of human-sli → Dataset Details Touch-Slide is a dataset inspired by YCB-Slide. Its purpose is to increase the amount of data from multiple DIGIT sensors for self-supervised learning (SSL) pre-training of the Sparsh model. Touch-Slide consists of human-sli

Changes detected by Silytics between refreshes of the source.

More from facebook

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.