The bAbI dataset is a textual QA benchmark composed of 20 different tasks. Each task is designed to test a different reasoning skill, such as deduction, induction, and coreference resolution. Some of the tasks need relational reasoning, for instance, to compare the size of different entities. Each sample is composed of a question, an answer, and a set of facts. There are two versions of the dataset, referring to different dataset sizes: bAbI-1k and bAbI-10k. The bAbI-10k version of the dataset consists of 10,000 training samples per task.

Source: Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module

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