The EmpatheticDialogues dataset is a large-scale multi-turn empathetic dialogue dataset collected on the Amazon Mechanical Turk, containing 24,850 one-to-one open-domain conversations. Each conversation was obtained by pairing two crowd-workers: a speaker and a listener. The speaker is asked to talk about the personal emotional feelings. The listener infers the underlying emotion through what the speaker says and responds empathetically. The dataset provides 32 evenly distributed emotion labels.
Source: Empathetic Dialogue Generation viaKnowledge Enhancing and Emotion Dependency Modeling
Image Source: Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset
Variants: EmpatheticDialogues
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Visual Dialog | Multi-Modal BlenderBot | Multi-Modal Open-Domain Dialogue | 2020-10-02 |
Recent papers with results on this dataset: