These numbers, however, do not show to which extent the models are able to avoid the trap of the dataset:<cite> Shekhar et al. (2017)</cite> showed that on the FOIL data, models tend to detect correct captions with reasonable accuracy but fail to identify the incorrect ones, leading to a large bias in classification. Taking this insight into account, for the rest of this paper, we focus on the accuracy of the systems in dealing with foil captions, across all three tasks.