Datasets:

moha
/

AraCovid19-SSD

AraCOVID19-SSD is a manually annotated Arabic COVID-19 sarcasm and sentiment detection dataset containing 5,162 tweets. The labels used in the dataset are the following:

AraCOVID19-SSD Sarcasm and Sentiment Labels

Examples

Examples of the instances from the dataset are provided in the below Table:

Example tweets and their annotations from AraCOVID19-SSD

Statistics

The statistics for the dataset are provided in the below Table:

Statistical distribution of Sarcasm and Sentiment labels

Citations

If you want to use the dataset please cite the following arXiv paper:

@article{ameur2021aracovid19,
  title={Aracovid19-ssd: Arabic covid-19 sentiment and sarcasm detection dataset},
  author={Ameur, Mohamed Seghir Hadj and Aliane, Hassina},
  journal={arXiv preprint arXiv:2110.01948},
  year={2021}
}

Contacts:

For all questions please contact mohamedhadjameur@gmail.com