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MohamedRashad
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arabic-billion-words

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Text Generation

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MohamedRashad commited on Dec 16, 2023

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-# 🌙 Arabic Billion Words Dataset
 The Abu El-Khair Arabic News Corpus (arabic-billion-words) is a comprehensive collection of Arabic text, encompassing over five million newspaper articles. The corpus is rich in linguistic diversity, containing more than a billion and a half words, with approximately three million unique words. The text is encoded in two formats: UTF-8 and Windows CP-1256, and marked up using two markup languages: SGML and XML.
 ## Data Example
 An example from the "Almasryalyoum" configuration subset:
 ```python

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+# Arabic Billion Words Dataset 🌕
 The Abu El-Khair Arabic News Corpus (arabic-billion-words) is a comprehensive collection of Arabic text, encompassing over five million newspaper articles. The corpus is rich in linguistic diversity, containing more than a billion and a half words, with approximately three million unique words. The text is encoded in two formats: UTF-8 and Windows CP-1256, and marked up using two markup languages: SGML and XML.
 ## Data Example
 An example from the "Almasryalyoum" configuration subset:
 ```python