ACRE

홈페이지 · 논문 15편

Abstract Causal REasoning (ACRE) is a dataset for the systematic evaluation of current vision systems in causal induction, i.e., identifying unobservable mechanisms that lead to the observable relations among variables. Each split of the dataset is structured as follows: `` config/ train.json val.json test.json images/ ACRE_train_00*.png ACRE_val_00*.png ACRE_test_00*.png scenes/ ACRE_train_00*.json ACRE_val_00*.json ACRE_test_00*.json ` Each image file in the images folder has a corresponding scene description file in scenes with the same name (except for the extension). Each ACRE problem is named after ACRE_{train/val/test}_{6_digit_problem_idx}_{2_digit_panel_idx}`