KGConv, a Conversational Corpus grounded in Wikidata

• URL: http://arxiv.org/abs/2308.15298v1
• Date: Tue, 29 Aug 2023 13:35:51 GMT
• Title: KGConv, a Conversational Corpus grounded in Wikidata
• Authors: Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona, Claire Gardent
• Abstract summary: KGConv is a large, conversational corpus of 71k conversations grounded in a Wikidata fact. We provide multiple variants (12 on average) of the corresponding question using templates, human annotations, hand-crafted rules and a question rewriting neural model. KGConv can further be used for other generation and analysis tasks such as single-turn question generation from Wikidata triples, question rewriting, question answering from conversation or from knowledge graphs and quiz generation.
• Score: 6.451914896767135
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present KGConv, a large, conversational corpus of 71k conversations where each question-answer pair is grounded in a Wikidata fact. Conversations contain on average 8.6 questions and for each Wikidata fact, we provide multiple variants (12 on average) of the corresponding question using templates, human annotations, hand-crafted rules and a question rewriting neural model. We provide baselines for the task of Knowledge-Based, Conversational Question Generation. KGConv can further be used for other generation and analysis tasks such as single-turn question generation from Wikidata triples, question rewriting, question answering from conversation or from knowledge graphs and quiz generation.

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