ChinaHighPAH is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level polycyclic aromatic hydrocarbons (PAHs) dataset for China from 2013 to 2020, including sixteen individual PAHs: naphthalene (Nap), acenaphthene (Ace), acenaphthylene (Acy), fluorene (Flu), phenanthrene (Phe), anthracene (Ant), fluoranthene (Fla), pyrene (Pyr), benz[a]anthracene (BaA), chrysene (Chr), benzo[b]fluoranthene (BbF), benzo[k]fluoranthene (BkF), benzo[a]pyrene (BaP), dibenz[a,h]anthracene (DahA), benzo[ghi]perylene (BghiP), and indeno[1,2,3-cd]pyrene (IcdP). This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.81, a root-mean-square error (RMSE) of 66.69 ng m-3, and a mean absolute error (MAE) of 91.94 ng m-3 on a daily basis. More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html