DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu


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
Anthology ID:
I17-1099
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
986–995
Language:
URL:
https://aclanthology.org/I17-1099
DOI:
Bibkey:
Cite (ACL):
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017. DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 986–995, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset (Li et al., IJCNLP 2017)
Copy Citation:
PDF:
https://aclanthology.org/I17-1099.pdf
Dataset:
 I17-1099.Datasets.zip
Code
 additional community code
Data
DailyDialog