For validation and test datasets, the train argument is set to False and a dataset_train must be specified.

Since attributes such as target, task, node_features and edge_features (perhaps others) must be identical between training, validation, and test datasets, it would make sense to read these from dataset_train rather than asking the user to specify them again.