A large-scale trajectory dataset of traffic participants are critical for the research areas, such as intention recognition, trajectory prediction, motion planning, representation learning and imitation learning, etc. Both industry and academia are interested in high-quality trajectory datasets because many widely used approaches are data-driven and heavily rely on trajectory data from real traffic.