References:
Alittihad
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Alittihad')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
349342 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Almasryalyoum
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Almasryalyoum')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
291723 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Almustaqbal
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Almustaqbal')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
446873 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Alqabas
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Alqabas')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
817274 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Echoroukonline
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Echoroukonline')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
139732 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Ryiadh
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Ryiadh')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
858188 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Sabanews
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Sabanews')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
92149 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
SaudiYoum
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/SaudiYoum')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
888068 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Techreen
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Techreen')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
314597 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Youm7
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:arabic_billion_words/Youm7')
- Description:
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.
- License: No known license
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1172136 |
- Features:
{
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"head_line": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}