MUStARD: Multimodal Sarcasm Detection Dataset
We release the MUStARD dataset which is a multimodal video corpus for research in automated sarcasm discovery. The dataset is compiled from popular TV shows including Friends, The Golden Girls, The Big Bang Theory, and Sarcasmaholics Anonymous. MUStARD consists of audiovisual utterances annotated with sarcasm labels. Each utterance is accompanied by its context, which provides additional information on the scenario where the utterance occurs.
Variables:
| Name | Description |
|---|---|
| utterance | The text of the target utterance to classify. |
| speaker | Speaker of the target utterance. |
| context | List of utterances (in chronological order) preceding the target utterance. |
| context_speakers | Respective speakers of the context utterances. |
| sarcasm | Binary label for sarcasm tag. |
Publication Date:
2019
Creators:
Castro, Santiago; Hazarika, Devamanyu; Pérez-Rosas, Verónica; Zimmermann, Roger; Mihalcea, Rada; Poria, Soujanya
Publisher:
Association for Computational Linguistics
Size:
11.9 kB
Formats:
JSON
License:
MIT License
Data Category:
Sentiment and Opinion Data