The SA-V Dataset is an open-world video dataset specifically designed for training general object segmentation models, containing 51,000 diverse videos and 643,000 spatio-temporal segmentation masks (masklets). This dataset is intended for computer vision research and is available under a CC BY 4.0 license. The video content covers a wide variety of themes, including locations, objects, and scenes, with masks ranging from large-scale objects like buildings to intricate details like indoor decorations.