We prepared two type of datasets: few-shot and imbalanced. Each few-shot dataset has the same number of training data. For example, in the 2-shot task, every two structures were randomly selected for training, and the remaining data were used for validation. We have a fixed number of training data for every crystal structure, while the number of validation data varies. On the other hand, each imbalanced dataset has randomly selected training data under a fixed ratio against all the data, irrespective of crystal structures. The number of data varies for both training and validation.