арабский_миллиард_слов

Использованная литература:

• Код
• Huggingface

Алиттихад

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	349342

• Особенности :

{
    "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"
    }
}

Алмасрялюм

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	291723

• Особенности :

{
    "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"
    }
}

Альмустакбал

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	446873

• Особенности :

{
    "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"
    }
}

Алькабас

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	817274

• Особенности :

{
    "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"
    }
}

Эхоруконлайн

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	139732

• Особенности :

{
    "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"
    }
}

Эр-Рияд

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	858188

• Особенности :

{
    "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"
    }
}

Сабаньюс

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	92149

• Особенности :

{
    "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"
    }
}

Саудовская Юм

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	888068

• Особенности :

{
    "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"
    }
}

Техрин

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	314597

• Особенности :

{
    "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"
    }
}

Юм7

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

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

• Описание :

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.

• Лицензия : Лицензия неизвестна
• Версия : 1.1.0
• Сплиты :

Расколоть	Примеры
'train'	1172136

• Особенности :

{
    "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"
    }
}