As the advent of deep learning techniques turns algorithms data hungry, building resources of a significant size is a critical task, question answering (QA) systems, as demonstrated not only by SQuAD, but also by ImageNet for object recognition (Deng et al., ).
our key contribution is to show that Seed does not have to be big and annotate such data ourselves.