COPA-SSE: Semi-Structured Explanations for Commonsense Reasoning

Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui

Keywords: commonsense reasoning, explanations, dataset

TL;DR: We present a new explanation dataset for COPA with sets of triple-like common sense statements as explanations.

Abstract: We present COPA-SSE, a new crowdsourced dataset of 9,747 semi-structured, English common sense explanations for COPA questions. The explanations are formatted as a set of triple-like common sense statements with ConceptNet relations but freely written concepts. This semi-strucutred format strikes a balance between the high quality but low coverage of structured data and the lower quality but high coverage of free-form crowdsourcing. Each explanation also includes a set of human-given quality ratings. With their familiar format, the explanations are geared towards commonsense reasoners operating on knowledge graphs and serve as a starting point for ongoing work on improving such systems.

Community Implementations: [ 1 code implementation](https://www.catalyzex.com/paper/arxiv:2201.06777/code)