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Worldtree Corpus

Question AnsweringKnowledge BaseEnglish

The Worldtree Corpus dataset is a English question answering resource from Xie et al. at 2020 comprising 5,114 examples.

About Worldtree Corpus

Dataset contains multi-hop question answering/explanations where questions require combining between 1 and 16 facts (average 6) to generate detailed explanations for question answering inference. Each explanation is represented as a lexically-connected “explanation graph” that combines an average of 6 facts drawn from a semi-structured knowledge base of 9,216 facts across 66 tables.

Details

Task
Question Answering, Knowledge Base
Language
English
Format
Text, TSV
Rows / instances
5,114
Creator
Xie et al.
Year
2020
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