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This paper introduces TranSGrid, a testbed that integrates deductive, inductive, and abductive reasoning to evaluate systematic generalization in AI. Experiments with Transformers show that current tasks overlook essential reasoning aspects, resulting in performance gaps on the proposed testbed.