COPA-SSE: Semi-structured Explanations for Commonsense Reasoning

LREC 2022  ·  Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui ·

We present Semi-Structured Explanations for COPA (COPA-SSE), a new crowdsourced dataset of 9,747 semi-structured, English common sense explanations for Choice of Plausible Alternatives (COPA) questions. The explanations are formatted as a set of triple-like common sense statements with ConceptNet relations but freely written concepts. This semi-structured 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. The dataset is available at https://github.com/a-brassard/copa-sse.

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Datasets

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COPA-SSE

Used in the Paper:

ConceptNet COPA

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