Sign inGet started
Dataset · Hugging Face

IBM/limit

Motion recognition is one of the basic cognitive capabilities of many life forms, yet identifying motion of physical entities in natural language have not been explored extensively and empirically. Literal-Motion-in-Text (LiMiT) dataset, is a large human-annotated collection of English text sentences describing physical occurrence of motion, with annotated physical entities in motion.

Author / organizationIBM
License (as declared)cc-by-sa-4.0
Downloads408 (as reported by Hugging Face)
Likes9
Created2 March 2022
Last updated at source18 January 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/8322e298-08db-4d2b-96ee-bfb855e0c4ae" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from IBM

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 Information may be incomplete or out of date.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.