All datasetsTweet Eval Dataset
Contributors: Francesco Barbieri, Jose Camacho-Collados, Luis Espiinosa-Anke and Leonardo Neves through Cardiff NLP.
Datarows: 49,950 datarows
TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The text in the dataset is in English, as spoken by Twitter users.
Currently, the sentiment and emotion subsets are available in Labelbox.
License
CC BY 3.0 (see more)
CC BY 3.0 (see more)