CAVES (A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines)

Introduced by Poddar et al. in CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines

CAVES is the first large-scale dataset containing about 10k COVID-19 anti-vaccine tweets labelled into various specific anti-vaccine concerns in a multi-label setting. This is also the first multi-label classification dataset that provides explanations for each of the labels. Additionally, the dataset also provides class-wise summaries of all the tweets.

Papers


Paper Code Results Date Stars

Dataset Loaders


No data loaders found. You can submit your data loader here.

Tasks


Similar Datasets


License


Modalities


Languages