saudinewsnet / README.md
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metadata
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - ar
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
paperswithcode_id: null
pretty_name: saudinewsnet
dataset_info:
  features:
    - name: source
      dtype: string
    - name: url
      dtype: string
    - name: date_extracted
      dtype: string
    - name: title
      dtype: string
    - name: author
      dtype: string
    - name: content
      dtype: string
  splits:
    - name: train
      num_bytes: 103654105
      num_examples: 31030
  download_size: 29014166
  dataset_size: 103654105

Dataset Card for "saudinewsnet"

Table of Contents

Dataset Description

  • Homepage: SaudiNewsNet
  • Repository: Website
  • Paper: [More Information Needed]
  • Point of Contact: Mazen Abdulaziz
  • Size of downloaded dataset files: 29.01 MB
  • Size of the generated dataset: 103.65 MB
  • Total amount of disk used: 132.67 MB

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

Languages

More Information Needed

Dataset Structure

Data Instances

default

  • 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": "\"http://aawsat.com/home/article/411671/«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](http://aawsat.com/) |
| aleqtisadiya | [Al-Eqtisadiya](http://aleqt.com/) |
| aljazirah | [Al-Jazirah](http://al-jazirah.com/) |
| almadina | [Al-Madina](http://www.al-madina.com/) |
| alriyadh | [Al-Riyadh](http://www.alriyadh.com/) |
| alwatan | [Al-Watan](http://alwatan.com.sa/) |
| alweeam | [Al-Weeam](http://alweeam.com.sa/) |
| alyaum | [Al-Yaum](http://alyaum.com/)  |
| arreyadi | [Arreyadi](http://www.arreyadi.com.sa/) |
| arreyadiyah | [Arreyadi](http://www.arreyadiyah.com/) |
| okaz | [Okaz](http://www.okaz.com.sa/) |
| sabq | [Sabq](http://sabq.org/) |
| was | [Saudi Press Agency](http://www.spa.gov.sa/) |
| 3alyoum | [Ain Alyoum](http://3alyoum.com/) |

Initial Data Collection and Normalization

The Modern Standard Arabic texts crawled from the Internet.

Who are the source language producers?

Newspaper Websites.

Annotations

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

@misc{hagrima2015,
author = "M. Alhagri",
title = "Saudi Newspapers Arabic Corpus (SaudiNewsNet)",
year = 2015,
url = "http://github.com/ParallelMazen/SaudiNewsNet"
}

Contributions

Thanks to @abdulelahsm for adding this dataset.