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DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Yanran LiHui SuXiaoyu ShenWenjie LiZiqiang CaoShuzi Niu • @International Joint Conference on Natural Language Processing • 01 October 2017

TLDR: A high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects, the language is human-written and less noisy and the dialogues reflect the authors' daily communication way and cover various topics about their daily life.

Citations: 1106
Abstract: We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way and cover various topics about our daily life. We also manually label the developed dataset with communication intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it benefit the research field of dialog systems. The dataset is available on http://yanran.li/dailydialog

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