metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype: string
  splits:
    - name: train
      num_bytes: 181482477
      num_examples: 45500
  download_size: 86389093
  dataset_size: 181482477
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-classification
  - translation
  - summarization
language:
  - ar
  - en
size_categories:
  - 10K<n<100K

Arabic News Articles Dataset

About Dataset

Context 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.

Content

a subset Khaleej (45500 articles in 7 categories) of SANAD. Labels are categorized in: Culture, Finance, Medical, Politics,Religion,Sports,Tech.

Acknowledgements

We wouldn't be here without the help of Omar Einea, Ashraf Elnagar, Ridhwan Al-Debsi. https://doi.org/10.1016/j.dib.2019.104076

Contact

Mouwiya S. A. Al-Qaisieh [email protected]