DailyDialog: A Manually Labelled Multi-Turn Dialogue Dataset
Hong Kong Polytechnic University
Indexed indatacite
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
Citation impact
309
total citations
- FWCI
- —
- Percentile
- —
- References
- 28
Citations per year
Authors
1Topics & keywords
Keywords
- Dialog box
- Computer science
- Field (mathematics)
- Cover (algebra)
- Artificial intelligence
- Natural language processing
- Quality (philosophy)
- Dialog system
No related works found for this paper.