AIML-TUDA/COCOLogic-v2
COCOLogic-V2 COCOLogic-V2 is an object-centric dataset for visual inductive reasoning on real-world images. Built on MSCOCO, it frames reasoning as a multilabel classification task over 10 compositional first-order-logic rules (object presence/absence, counting, and count comparisons). Samples of each rule are divided into different positive variants, as well as types of near-boundary (NB) negatives, and the typically easy far-from-boundary (FB) negatives. These annotations… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/COCOLogic-v2.
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