Task Categories: sequence-modeling
Languages: ar
Multilinguality: monolingual
Size Categories: 10K<n<100K1K<n<10K
Licenses: unkown
Language Creators: found
Annotations Creators: found
Source Datasets: original

Dataset Card for Arabic Billion Words Corpus

Dataset Summary

Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles. It contains over a billion and a half words in total, out of which, there are about three million unique words. The corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256. Also it was marked with two mark-up languages, namely: SGML, and XML.

Supported Tasks and Leaderboards

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Dataset Structure

Data Instances

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Data Fields

The data fields are:

  • "url": string, original url of the article,
  • "head_line": string, headline of the article,
  • "date": string, date of the article,
  • "text": string, text content of the article,

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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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

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Citation Information

  title={1.5 billion words arabic corpus},
  author={El-Khair, Ibrahim Abu},
  journal={arXiv preprint arXiv:1611.04033},


Thanks to @zaidalyafeai for adding this dataset.

Models trained or fine-tuned on arabic_billion_words