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Content warning: This dataset contains harmful text (abusive language, hate speech).
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Dataset Card for DKHate
Dataset Summary
This dataset consists of anonymised Danish Twitter data that has been annotated for hate speech. All credits go to the authors of the following paper, who created the dataset:
Supported Tasks and Leaderboards
This dataset is suitable for hate speech detection.
- PwC leaderboard for Task A: Hate Speech Detection on DKhate
Languages
This dataset is in Danish.
Dataset Structure
Data Instances
Every entry in the dataset has a tweet and an associated label.
Data Fields
An entry in the dataset consists of the following fields:
text
(str
): The tweet content.label
(str
): The label of thetext
. Can be either "OFF" or "NOT", being offensive and not offensive, respectively.
Data Splits
A train
and test
split is available, which are identical to the original splits. There are 2,960 tweets in the training split and 329 in the test split.
Additional Information
Dataset Curators
The curation of the dataset is solely due to the authors of the original paper: Gudbjartur Ingi Sigurbergsson and Leon Derczynski.
Licensing Information
The dataset is released under the CC BY 4.0 license.
Citation Information
@inproceedings{sigurbergsson2020offensive,
title={Offensive Language and Hate Speech Detection for Danish},
author={Sigurbergsson, Gudbjartur Ingi and Derczynski, Leon},
booktitle={Proceedings of the 12th Language Resources and Evaluation Conference},
pages={3498--3508},
year={2020}
}
Contributions
Thanks to @saattrupdan for adding this dataset to the Hugging Face Hub.