What is the significance of the OOD forecasting benchmark used in the research?

The Out-Of-Distribution (OOD) forecasting benchmark is used to evaluate how well the model generalizes to unseen datasets. The benchmark consists of 23 datasets where the models are tested in a zero-shot manner.