viktorcyt/VideoMemory-Bench

VideoMemory-Bench VideoMemory-Bench is a multiple-choice video question answering benchmark designed to evaluate video memory, long-range temporal understanding, cross-modal association, and reasoning over video content. The released benchmark split contains 5,360 QA pairs over 3,587 unique videos. Each QA item is attached to one video, one normalized level, one normalized category code, and one answer label. This dataset card describes the Hugging Face release format. The… See the full description on the dataset page: https://huggingface.co/datasets/viktorcyt/VideoMemory-Bench.