DailyDialog is a high-quality multi-turn open-domain English dialog dataset. It contains 13,118 dialogues split into a training set with 11,118 dialogues and validation and test sets with 1000 dialogues each. On average there are around 8 speaker turns per dialogue with around 15 tokens per turn.
Source: http://yanran.li/dailydialog
Image Source: https://paperswithcode.com/paper/dailydialog-a-manually-labelled-multi-turn/
Variants: DailyDialog
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Text Generation | AEM+Attention | An Auto-Encoder Matching Model for … | 2018-08-27 |
Recent papers with results on this dataset: