The main goal of the data collection is to acquire highly natural conversations that cover a wide variety of styles and scenarios. In total, the presented corpus consists of five domains: Food, Hotel, Nightlife, Shopping mall and Sightseeing. Controlled by our various task settings, the collected dialogues cover between one to four domains per dialogue, and are thus of greatly varying length and complexity. There are 808 single-task dialogues that contains a single venue target and 4, 298 multi-task dialogues consisting of at least two to four venue targets. These different venues vary in domains most of the times.
Variants: MMConv
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Response Generation | PaCE | PaCE: Unified Multi-modal Dialogue Pre-training … | 2023-05-24 |
| Response Generation | SimpleTOD | A Simple Language Model for … | 2020-05-02 |
Recent papers with results on this dataset: