We did not use the named crystal structures during the training. This is because any crystal structure refers to a specific arrangement of atoms, and thus the local atomic environments, their connections, and the global symmetries are at the bottom of the concepts of crystal structures from a geometric perspective. Instead of learning the named crystal structures, we will demonstrate that CLICS-pretrained model improves the classification of the named crystal structures even when given a few number of data or imbalanced data, which would be typical situations for materials exploration.