CHeeSE is a manually annotated dataset of swiss news articles paired with debate questions for stance and emotion detection in German.
More details about the dataset can be found in the paper and on the project webpage:
When using the CHeeSE dataset for research purposes, please cite:
@inproceedings{mascarell-etal-2021-stance,
title = "Stance Detection in {G}erman News Articles",
author = "Mascarell Laura, Ruzsics Tatyana, Schneebeli Christian, Schlattner Philippe, Campanella Luca, Klingler Severin, Kadar Cristina",
booktitle = "Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)",
month = nov,
year = "2021",
address = "Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.fever-1.8",
pages = "66--77"
}