TFDS ora supporta il formato Croissant 🥐 ! Leggi la documentazione per saperne di più.

Questa pagina è stata tradotta dall'API Cloud Translation.

arabic_billion_words

Riferimenti:

Alittihad

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Alittihad')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	349342

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Almasryalyoum')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	291723

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Almustaqbal')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	446873

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Alqabas')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	817274

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Echoroukonline')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	139732

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Ryiadh')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	858188

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Sabanews')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	92149

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/SaudiYoum')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	888068

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Techreen')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	314597

Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:arabic_billion_words/Youm7')

Descrizione :

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.

Licenza : nessuna licenza conosciuta
Versione : 1.1.0
Divide :

Diviso	Esempi
`'train'`	1172136

Caratteristiche :

{
    "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"
    }
}