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DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
lib:f67e7f485da973ef (v1.0.0)
Authors: Yanran Li,Hui Su,Xiaoyu Shen,Wenjie Li,Ziqiang Cao,Shuzi Niu
Where published: IJCNLP 2017 11
ArXiv: 1710.03957
Document: PDF DOI
Artifact development version: GitHub
Abstract URL: http://arxiv.org/abs/1710.03957v1
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.
Where published: IJCNLP 2017 11
ArXiv: 1710.03957
Document: PDF DOI
Artifact development version: GitHub
Abstract URL: http://arxiv.org/abs/1710.03957v1
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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