Because these datapoints are less informative with respect to a model's ability to generalize to previously unseen styles, we additionally evaluate on a second test set designed to avoid this redundancy.
we choose the 10% of test fonts that have maximal L 2 distance from their closest equivalent in the training set, which we call "Test Hard".