QASC: A Dataset for Question Answering via Sentence Composition

Understand

Composing knowledge from multiple pieces of texts is a key challenge in multi-hop question answering.

• We present a multi-hop reasoning dataset, Question Answering via Sentence Composition(QASC), that requires retrieving facts from a large corpus and composing them to answer a multiple-choice question.
• QASC is the first dataset to offer two desirable properties: (a) the facts to be composed are annotated in a large corpus, and (b) the decomposition into these facts is not evident from the question itself.
• The latter makes retrieval challenging as the system must introduce new concepts or relations in order to discover potential decompositions.