metadata
annotations_creators:
- found
language_creators:
- found
languages:
- ar
licenses:
- unkown
multilinguality:
- monolingual
size_categories:
- n>1M
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- language-modeling
Dataset Card for Arabic Billion Words Corpus
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus
- Repository:
- Paper: https://arxiv.org/pdf/1611.04033
- Leaderboard:
- Point of Contact:Ibrahim Abu El-Khair
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
[More Information Needed]
Languages
Arabic
Dataset Structure
Data Instances
[More Information Needed]
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
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
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
[More Information Needed]
Citation Information
@article{el20161,
title={1.5 billion words arabic corpus},
author={El-Khair, Ibrahim Abu},
journal={arXiv preprint arXiv:1611.04033},
year={2016}
}