Accurate 3D human pose prior modeling is the basis for many problems in computer vision research. However, most previous studies either do not have enough diverse human poses or do not have enough restrictions to filter out invalid poses. Therefore, the PosePrior dataset came into being to fill the gaps of these previous datasets. This dataset consists of various stretching postures of several athletes, and researchers can use this dataset to study the joint angle restrictions related to posture.