PathTrack is a video dataset for human tracking, containing 720 video sequences and more than 15,000 human trajectories. This dataset uses a new path supervision method, where the annotator tracks the target object with a cursor while watching the video and provides path annotations for each object. This dataset can be used to improve the performance of the tracker NOMT and study the field of multi-object tracking (MOT).