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"
    }
}