CrossVideoReasoning/SYNCR

SYNCR SYNCR is a simulator-grounded framework for cross-video reasoning: questions that cannot be answered from any single video, but require aligning events, matching identities, comparing motion, or integrating partial observations across several videos. Because the videos are produced in simulation, every answer is derived from environment state rather than from human annotation. The same generators produce both an evaluation benchmark and a training set over disjoint videos… See the full description on the dataset page: https://huggingface.co/datasets/CrossVideoReasoning/SYNCR.

<iframe src="https://silytics.si/embed/item/b1d4557e-bcbe-4c4e-a9a3-20fced8f7c4e" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

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 Information may be incomplete or out of date.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.