As noted earlier, this means that models don't need to generalize across unseen combinations of rooms/objects/colors to perform well on this task (b) Despite entropy-pruning, there is a noticeable bias in the answer distribution of EQAv1 questions (see [<cite>5</cite>, Appendix A]). Our results on the Nearest Neighbour baseline confirm this source of bias and explain largely the text model performance.