DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
This provides a high-quality dataset for dialog system research, but it is incremental as it builds on existing data collection efforts.
The authors introduced DailyDialog, a manually labeled multi-turn dialogue dataset with human-written language covering daily life topics, and evaluated existing dialog system approaches on it.
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.