The evaluation will be the MSE between your cleansed data and the uncorrupted training/test data (each being half of the total dataset). Specifically, the uncorrupted data is of shape (5421,28,28), and the MSE is calculated as the averaged sum of square of entry-wise differences between uncorrupted training/test data and your solution.