The first zone collects the input datasets that will processed further down the flow.

![Input Zone.png](9jjKxJ2FRu1T)

The four datasets are:
- [loan_performance](dataset:loan_performance):  the historical performance of the mortgage portfolio at the loan level. It contains an important column, credit_status that will be used for the[ transition matrices](article:18) computing. A [snapshot](article:15) of this dataset will be taken for the ECL run.
- [historical_macro_data](dataset:historical_macro_data): the historical economic data that will be used to predict the z-score.
- [scenarios](dataset:scenarios): the economic forecast scenarios, here we have two of them labelled A and B. The other columns are the same as the historical macro data above.
- [house_price_indices](dataset:house_price_indices): the house price indices by state, needed to compute Peak to Trough for [LGD](article:5).

Additionally, two distinct recipes retrieve dates and scenarios to choose from in the [project setup](article:13) for the run.