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arXiv · 2210.12687

BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets

Minju Kim·Chaehyeong Kim·Yongho Song·Seung-won Hwang·Jinyoung Yeo
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Abstract

To build open-domain chatbots that are able to use diverse communicative skills, we propose a novel framework BotsTalk, where multiple agents grounded to the specific target skills participate in a conversation to automatically annotate multi-skill dialogues. We further present Blended Skill BotsTalk (BSBT), a large-scale multi-skill dialogue dataset comprising 300K conversations. Through extensive experiments, we demonstrate that our dataset can be effective for multi-skill dialogue systems which require an understanding of skill blending as well as skill grounding. Our code and data are available at https://github.com/convei-lab/BotsTalk.

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Minju Kim, Chaehyeong Kim, Yongho Song, Seung-won Hwang, Jinyoung Yeo. 2022-10-23. BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets. https://arxiv.org/abs/2210.12687

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