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arxiv:1710.03957
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Published on Oct 11, 2017
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Abstract
A human-written, multi-turn dialog dataset labeled with intention and emotion information is developed and evaluated for dialog system research.
AI-generated summary
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.
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