arabic_billion_words

Références :

Alittihad

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 349342
  • Caractéristiques :
{
    "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

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 291723
  • Caractéristiques :
{
    "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

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 446873
  • Caractéristiques :
{
    "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

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 817274
  • Caractéristiques :
{
    "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

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 139732
  • Caractéristiques :
{
    "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"
    }
}

Ryad

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 858188
  • Caractéristiques :
{
    "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"
    }
}

Sabanouvelles

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 92149
  • Caractéristiques :
{
    "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"
    }
}

SaoudienYoum

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 888068
  • Caractéristiques :
{
    "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

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 314597
  • Caractéristiques :
{
    "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"
    }
}

Vousm7

Utilisez la commande suivante pour charger cet ensemble de données dans 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.
  • Licence : Aucune licence connue
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 1172136
  • Caractéristiques :
{
    "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"
    }
}