To capture universal latent representations of molecular crystals we designed four pre-training tasks performed on a dataset of 706,126 experimental structures sourced from the Cambridge Structural Database (CSD) , namely a masked atom prediction task (MAP), an atom pair classification task (APC), a crystal density prediction task (CDP) and a symmetry element prediction task (SEP). The MAP and APC tasks capture local chemical information, while the CDP and SEP tasks capture global structure information.