Sign inGet started
Dataset · Hugging Face

VisionXLab/RISE-Video

🎥 RISE-Video: Can Video Generators Decode Implicit World Rules? [📖Paper] [🔭Code] Introduction We present RISE-Video, a pioneering reasoning-oriented benchmark for Text-Image-to-Video (TI2V) synthesis that shifts the evaluative focus from surface-level aesthetics to deep cognitive reasoning. RISE-Video comprises 467 meticulously human-annotated samples spanning eight rigorous categories: Commonsense Knowledge, Subject Knowledge… See the full description on the dataset page: https://huggingface.co/datasets/VisionXLab/RISE-Video.

Author / organizationVisionXLab
Downloads172 (as reported by Hugging Face)
Likes1
Created5 February 2026
Last updated at source7 February 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/91749a82-4b57-4d6f-81ea-d541744efb28" 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: 🎥 RISE-Video: Can Video Generators Decode Implicit World Rules? [📖Paper] [🔭Code] Introduction We present RISE-Video, a pioneering reasoning-oriented benchmark for Text-Image-to-Video (TI2V) synthesis that shifts the evaluative focus from → 🎥 RISE-Video: Can Video Generators Decode Implicit World Rules? [📖Paper] [🔭Code] Introduction We present RISE-Video, a pioneering reasoning-oriented benchmark for Text-Image-to-Video (TI2V) synthesis that shifts the evaluative focus from

Changes detected by Silytics between refreshes of the source.

More from VisionXLab

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 Information may be incomplete or out of date.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.