Omkar2118/datasets huggingface dataset:
ExaASC

The **ExaASC** dataset is a dataset for Target-based Stance Detection in the Arabic Language that contains different types of targets like persons, entities and events. This corpus contains about 9500 tweets with replies and target specified in the source tweet. Each sample has at least two stance annotations provided by Exa Corporation annotators. The stance of each reply is annotated toward the target in the corresponding source tweet. Format of data is as follows: *id*, *main* (source tweet), *reply*, *target*, *label* of each annotator id and *majority_label*.

Introducing paper: ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language