The heterogeneous graph benchmark (HGB) aims to advance open and reproducible heterogeneous graph research. In HGB, we standardize the process of data splits, feature processing, and performance evaluation, by establishing the HGB pipeline "feature preprocessing → HGNN encoder → downstream decoder", among 3 heterogeneous graph learning tasks, .