Dataset Card for SANAD

Dataset Summary

SANAD Dataset is a large collection of Arabic news articles that can be used in different Arabic NLP tasks such as Text Classification and Word Embedding. The articles were collected using Python scripts written specifically for three popular news websites: AlKhaleej, AlArabiya and Akhbarona. All datasets have seven categories [Culture, Finance, Medical, Politics, Religion, Sports and Tech], except AlArabiya which doesn’t have [Religion]. SANAD contains a total number of 190k+ articles.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

license: cc-by-4.0

Citation Information

@article{einea2019sanad,
  title={Sanad: Single-label arabic news articles dataset for automatic text categorization},
  author={Einea, Omar and Elnagar, Ashraf and Al Debsi, Ridhwan},
  journal={Data in brief},
  volume={25},
  pages={104076},
  year={2019},
  publisher={Elsevier}
}

Contributions