The IZA database currently lists around 250 known zeolite topologies, while the PCOD database was developed using Monte Carlo algorithms and contains many predicted zeolite structures. To prepare for pre-training, we constructed 278 zeolite structures with topologies featuring four connection points using a top-down approach with the RCSR database by PORMAKE. We generated 34,750 zeolites by augmenting these structures through a translational motion in five parts for each cell direction. To supplement the dataset, we randomly selected 65,250 zeolites from the PCOD database, resulting in 100,000 zeolite structures in the pre-training data. The ToposPro software was used to obtain topology information for the structures, but there were still unknown topologies. As such, we labeled these unknown topologies as "unknown topology" during the pre-training stage. All of the generated structures were geometrically optimized using the LAMMPS package with the UFF force field .