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.