Sign inGet started
Dataset · Hugging Face

raiyaanabdullah/UCF101-AD

A large-scale action-denial benchmark for evaluating whether video MLLMs can reject absent actions under misleading contextual and motion cues. For more details, please visit- Project page: [https://raiyaan-abdullah.github.io/Learn-to-Deny-webpage) This dataset comprises short clips extracted from publicly available YouTube videos for research, educational, and non-commercial purposes. It is intended to qualify as fair use under U.S. copyright law (Section 107), given its transformative… See the full description on the dataset page: https://huggingface.co/datasets/raiyaanabdullah/UCF101-AD.

Author / organizationraiyaanabdullah
License (as declared)cc-by-nc-sa-4.0
Downloads264 (as reported by Hugging Face)
Likes0
Created24 June 2026
Last updated at source26 June 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/7ec4b91c-9893-4766-8656-ed3d3c69e219" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

264 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from raiyaanabdullah

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 Information may be incomplete or out of date.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.