miles de millones de palabras en árabe

Referencias:

Alittihad

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Alittihad')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 349342
  • Características :
{
    "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

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Almasryalyoum')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 291723
  • Características :
{
    "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

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Almustaqbal')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 446873
  • Características :
{
    "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

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Alqabas')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 817274
  • Características :
{
    "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"
    }
}

ecoroukonline

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Echoroukonline')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 139732
  • Características :
{
    "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"
    }
}

Riad

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Ryiadh')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 858188
  • Características :
{
    "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

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Sabanews')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 92149
  • Características :
{
    "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"
    }
}

sauditayoum

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/SaudiYoum')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 888068
  • Características :
{
    "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

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Techreen')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 314597
  • Características :
{
    "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"
    }
}

tum7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Youm7')
  • Descripción :
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.
  • Licencia : Ninguna licencia conocida
  • Versión : 1.1.0
  • Divisiones :
Dividir Ejemplos
'train' 1172136
  • Características :
{
    "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"
    }
}