Action-Based Conversations Dataset
Action-Based Conversations Dataset (ABCD) is a goal-oriented dialogue fully-labeled dataset with over 10K human-to-human dialogues containing 55 distinct user intents requiring unique sequences of actions constrained by policies to achieve task success. The dataset is proposed to study customer service dialogue systems in more realistic settings.
Variants: ABCD
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Workflow Discovery | T5-Large | Workflow Discovery from Dialogues in … | 2022-05-24 |
Recent papers with results on this dataset: