VQA-LOL: Visual Question Answering under the Lens of Logic
Table 13: Training datasets distribution and sizes, for training with logical questions with a maximum of one connective. Sizes of these datasets are the same as those in Table 11
['Training Datasets', 'Proportion of samples (%) VQA-Other', 'Proportion of samples (%) VQA-Number', 'Proportion of samples (%) VQA-YesNo', 'Proportion of samples (%) Comp-Single', 'Proportion of samples (%) Supp-Single', 'Training Samples']
Compositional Generalization: In this experiment, we train on questions with a maximum of one connective (single) and test on those with multiple connectives (multi). In this experiment, our aim is to train on questions that contain a single logical connective (and, or, not) or no connective (original yes-no questions in VQA), and test performance on questions with more than one connective.