This is the example datasets for the paper "Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences". We also release the code and datasets at https://github.com/Arturia-Pendragon-Iris/HiPaS_AV_Segmentation. To open the CT data and annotation, you can use the following code ct = np.load(".\ct_scan\001.npz", allow_pickle=True)["data"]artery = np.load(".\annotation\artery\001.npz", allow_pickle=True)["data"]vein = np.load(".\annotation\vein\001.npz", allow_pickle=True)["data"] If you have any questions about the datasets or the software, you can email yuetan.chu@kaust.edu.sa. If you find this dataset be helpful to you, you are welcome to cite our paper "Chu, Y., Luo, G., Zhou, L. et al. Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences. Nat Commun 16, 2262 (2025). https://doi.org/10.1038/s41467-025-56505-6"