
# Dataset Card for Arabic Billion Words Corpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## 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](iabuelkhair@gmail.com)

### 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

This is an example of the "Almasryalyoum" configuration subset:
```python
{
  "url": "http://today.almasryalyoum.com/printerfriendly.aspx?ArticleID=61300",
  "head_line": "رئيس وزراء المجر: عنصرية جماهير أوجبيست جلبت العار للبلاد",
  "date": "19/5/2007",
  "text": """قال متحدث باسم الحكومة المجرية: إن رئيس الوزراء فيرنك جيوركساني رحب بقرار اتحاد كرة القدم المجري بخصم ثلاث نقاط من نادي أوجبيست بسبب السلوك العنصري الذي صدر من جماهيره.
وعاقب الاتحاد المجري فريق أوجبيست بعد أن سخرت جماهيره من إبراهيم سيديبي مهاجم فريق ديبرينسين الأسود أثناء مباراة الفريقين أوائل مايو الجاري.
يذكر أن الاتحاد فرض أيضا غرامة مالية قدرها 20 ألف دولار علي أوجبيست في عام 2005 بعد أن رددت جماهيره شعارات معادية للسامية خلال مباراة بالدوري المجري.
وأوضح جيوركساني في خطاب إلي إيستفان كيستليكي رئيس الاتحاد المجري لكرة القدم، أن هذا السلوك العنصري من الجماهير «جلب العار لكرة القدم وللمجر». يذكر أن المجر بها مجموعة من مشجعي كرة القدم المشاغبين «الهوليجانز»، وشارك الكثير منهم في أعمال شغب معادية للحكومة في العام الماضي.""",
}
```

### 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

There is only one "training" split for all configuration subsets, containing the following number of examples:

|                | Number of examples |
|:---------------|-------------------:|
| Alittihad      |             349342 |
| Almasryalyoum  |             291723 |
| Almustaqbal    |             446873 |
| Alqabas        |             817274 |
| Echoroukonline |             139732 |
| Ryiadh         |             858188 |
| Sabanews       |              92149 |
| SaudiYoum      |             888068 |
| Techreen       |             314597 |
| Youm7          |            1172136 |

## 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}
}
```

### Contributions

Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) and [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
task_categories:text-generation task_categories:fill-mask task_ids:language-modeling task_ids:masked-language-modeling annotations_creators:found language_creators:found multilinguality:monolingual size_categories:100K<n<1M size_categories:10K<n<100K size_categories:1M<n<10M source_datasets:original language:ar license:unknown arxiv:1611.04033 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ar"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "10K<n<100K", "1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_name": "Arabic Billion Words", "config_names": ["Alittihad", "Almasryalyoum", "Almustaqbal", "Alqabas", "Echoroukonline", "Ryiadh", "Sabanews", "SaudiYoum", "Techreen", "Youm7"], "dataset_info": [{"config_name": "Alittihad", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1601790302, "num_examples": 349342}], "download_size": 348259999, "dataset_size": 1601790302}, {"config_name": "Almasryalyoum", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1056197870, "num_examples": 291723}], "download_size": 242604438, "dataset_size": 1056197870}, {"config_name": "Almustaqbal", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1545659336, "num_examples": 446873}], "download_size": 350826797, "dataset_size": 1545659336}, {"config_name": "Alqabas", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2631729746, "num_examples": 817274}], "download_size": 595274646, "dataset_size": 2631729746}, {"config_name": "Echoroukonline", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 464386206, "num_examples": 139732}], "download_size": 108184378, "dataset_size": 464386206}, {"config_name": "Ryiadh", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3101294859, "num_examples": 858188}], "download_size": 691264971, "dataset_size": 3101294859}, {"config_name": "Sabanews", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 198019614, "num_examples": 92149}], "download_size": 38214558, "dataset_size": 198019614}, {"config_name": "SaudiYoum", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2723291416, "num_examples": 888068}], "download_size": 605537923, "dataset_size": 2723291416}, {"config_name": "Techreen", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1103458209, "num_examples": 314597}], "download_size": 252976781, "dataset_size": 1103458209}, {"config_name": "Youm7", "features": [{"name": "url", "dtype": "string"}, {"name": "head_line", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3004689464, "num_examples": 1172136}], "download_size": 617708074, "dataset_size": 3004689464}]}
TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datasets-original #language-Arabic #license-unknown #arxiv-1611.04033 #region-us 

Dataset Card for Arabic Billion Words Corpus
============================================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper: URL
* 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


### Languages


Arabic


Dataset Structure
-----------------


### Data Instances


This is an example of the "Almasryalyoum" configuration subset:


### 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


There is only one "training" split for all configuration subsets, containing the following number of examples:



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions


Thanks to @zaidalyafeai and @albertvillanova for adding this dataset.



### 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 ### Languages


Arabic


Dataset Structure
----------------- ### Data Instances


This is an example of the "Almasryalyoum" configuration subset: ### 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


There is only one "training" split for all configuration subsets, containing the following number of examples:



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @zaidalyafeai and @albertvillanova for adding this dataset.
TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #size_categories-1M<n<10M #source_datasets-original #language-Arabic #license-unknown #arxiv-1611.04033 #region-us 
 ### 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 ### Languages


Arabic


Dataset Structure
----------------- ### Data Instances


This is an example of the "Almasryalyoum" configuration subset: ### 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


There is only one "training" split for all configuration subsets, containing the following number of examples:



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @zaidalyafeai and @albertvillanova for adding this dataset.