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Dataset Card for "saudinewsnet"

Dataset Summary

The dataset contains a set of 31,030 Arabic newspaper articles alongwith metadata, extracted from various online Saudi newspapers and written in MSA.

The dataset currently contains 31,030 Arabic articles (with a total number of 8,758,976 words). The articles were extracted from the following Saudi newspapers (sorted by number of articles):

Supported Tasks and Leaderboards

More Information Needed


More Information Needed

Dataset Structure

Data Instances


  • Size of downloaded dataset files: 29.01 MB
  • Size of the generated dataset: 103.65 MB
  • Total amount of disk used: 132.67 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

    "author": "الرياض: محمد الحميدي",
    "content": "\"في وقت تتهيأ فيه السعودية لإطلاق الإصدار الثاني من العملات المعدنية، لا تزال التداول بمبالغ النقود المصنوعة من المعدن مستقرة عن...",
    "date_extracted": "2015-07-22 01:18:37",
    "source": "aawsat",
    "title": "\"«العملة المعدنية» السعودية تسجل انحسارًا تاريخيًا وسط تهيؤ لإطلاق الإصدار الثاني\"...",
    "url": "\"«العملة-المعدنية»-السعودية-تسجل-انحسارًا-تاريخيًا-وسط-تهيؤ-لإطلاق-الإصدار-الثاني\"..."

Data Fields

The data fields are the same among all splits.

  • source (str): The source newspaper.
  • url (str): The full URL from which the article was extracted.
  • date_extracted (str): The timestamp of the date on which the article was extracted. It has the format YYYY-MM-DD hh:mm:ss. Notice that this field does not necessarily represent the date on which the article was authored (or made available online), however for articles stamped with a date of extraction after August 1, 2015, this field most probably represents the date of authoring.
  • title (str): The title of the article. Contains missing values that were replaced with an empty string.
  • author (str): The author of the article. Contains missing values that were replaced with an empty string.
  • content (str): The content of the article.

Data Splits

name train
default 31030

Dataset Creation

Curation Rationale

More Information Needed

Source Data

| String Identifier  | Newspaper |
| ------------------ | --------- |
| aawsat | [Al-Sharq Al-Awsat]( |
| aleqtisadiya | [Al-Eqtisadiya]( |
| aljazirah | [Al-Jazirah]( |
| almadina | [Al-Madina]( |
| alriyadh | [Al-Riyadh]( |
| alwatan | [Al-Watan]( |
| alweeam | [Al-Weeam]( |
| alyaum | [Al-Yaum](  |
| arreyadi | [Arreyadi]( |
| arreyadiyah | [Arreyadi]( |
| okaz | [Okaz]( |
| sabq | [Sabq]( |
| was | [Saudi Press Agency]( |
| 3alyoum | [Ain Alyoum]( |

Initial Data Collection and Normalization

The Modern Standard Arabic texts crawled from the Internet.

Who are the source language producers?

Newspaper Websites.


The dataset does not contain any additional annotations.

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Citation Information

author = "M. Alhagri",
title = "Saudi Newspapers Arabic Corpus (SaudiNewsNet)",
year = 2015,
url = ""


Thanks to @abdulelahsm for adding this dataset.

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