لهجه_عربی

منابع:

egy

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/egy')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

lev

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/lev')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

glf

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/glf')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

mgr

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/mgr')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}
،

منابع:

egy

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/egy')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

lev

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/lev')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

glf

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/glf')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

mgr

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:arabic_pos_dialect/mgr')
  • توضیحات :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
  • مجوز : مجوز شناخته شده ای وجود ندارد
  • نسخه : 0.0.0
  • تقسیمات :
شکاف مثال ها
'train' 350
  • ویژگی ها :
{
    "fold": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subfold": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "words": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "segments": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}