Sign inGet started
Dataset · Hugging Face

OpenMOSS-Team/FutureOmni

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs Predicting the future requires listening as well as seeing. 📖 Dataset Summary Although Multimodal Large Language Models (MLLMs) demonstrate strong omni-modal perception, their ability to forecast future events from audio–visual cues remains largely unexplored, as existing benchmarks focus mainly on retrospective understanding. FutureOmni is the first benchmark designed… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/FutureOmni.

Author / organizationOpenMOSS-Team
License (as declared)apache-2.0
Downloads551 (as reported by Hugging Face)
Likes7
Created7 January 2026
Last updated at source22 January 2026
multimodalfuture-predictionaudio-visualvideo-understanding
Embed this entry
<iframe src="https://silytics.si/embed/item/d46e4d5f-39ae-4bb0-ad23-91a9d7482d4a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from OpenMOSS-Team

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 Information may be incomplete or out of date.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.