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arXiv · 2308.15298

KGConv, a Conversational Corpus grounded in Wikidata

Quentin Brabant·Gwenole Lecorve·Lina M. Rojas-Barahona·Claire Gardent
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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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Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona, Claire Gardent. 2023-08-29. KGConv, a Conversational Corpus grounded in Wikidata. https://arxiv.org/abs/2308.15298

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