tonyc54/MemoBench

MemoBench Dataset MemoBench is a dataset for evaluating visual memory in world generation models. It focuses on disappearance-and-reappearance scenarios, where a target object is visible, leaves the camera view, and later reappears. The dataset currently contains: 196 synthetic clips 164 real clips Metadata for exit and re-appear moments Extracted frames and auxiliary files for evaluation Synthetic Examples Real… See the full description on the dataset page: https://huggingface.co/datasets/tonyc54/MemoBench.

<iframe src="https://silytics.si/embed/item/aa4f1429-8fd7-430d-8171-c9542c15a8a6" 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 Information may be incomplete or out of date.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.