  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.
