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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:

Sigurbergsson, Gudbjartur Ingi, and Leon Derczynski. "Offensive language and hate speech detection for Danish." arXiv preprint arXiv:1908.04531 (2019)

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 the text. 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}
}