This is a synthetic dataset created from Animatable Gaussian Avatars. For each identity, we randomly select a sequence of continuous expressions and poses to animate head Gaussians, and then render dynamic Gaussians along a camera trajectory. In this way, we can obtain a video with joint changes of viewpoint, pose, and expression along time.