To investigate whether models trained on SET+POS learn to identify the reference subset and to apply the threshold function to it, we build a hard test set identical to SET+POS except for the fact that objects that are the biggest or the smallest in the reference set are never queried.
in SET+POS-hard applying the min/max function to the reference set would lead to chance level.