پیشخوان

منابع:

• کد
• صورت در آغوش گرفته

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

ds = tfds.load('huggingface:counter')

• توضیحات :

The COrpus of Urdu News TExt Reuse (COUNTER) corpus contains 1200 documents with real examples of text reuse from the field of journalism. It has been manually annotated at document level with three levels of reuse: wholly derived, partially derived and non derived.

• مجوز : مجموعه تحت مجوز Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International مجوز دارد.
• نسخه : 1.0.0
• تقسیمات :

شکاف	مثال ها
'train'	600

• ویژگی ها :

{
    "source": {
        "filename": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "headline": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "body": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "total_number_of_words": {
            "dtype": "int64",
            "id": null,
            "_type": "Value"
        },
        "total_number_of_sentences": {
            "dtype": "int64",
            "id": null,
            "_type": "Value"
        },
        "number_of_words_with_swr": {
            "dtype": "int64",
            "id": null,
            "_type": "Value"
        },
        "newspaper": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "newsdate": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "domain": {
            "num_classes": 5,
            "names": [
                "business",
                "sports",
                "national",
                "foreign",
                "showbiz"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "classification": {
            "num_classes": 3,
            "names": [
                "wholly_derived",
                "partially_derived",
                "not_derived"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        }
    },
    "derived": {
        "filename": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "headline": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "body": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "total_number_of_words": {
            "dtype": "int64",
            "id": null,
            "_type": "Value"
        },
        "total_number_of_sentences": {
            "dtype": "int64",
            "id": null,
            "_type": "Value"
        },
        "number_of_words_with_swr": {
            "dtype": "int64",
            "id": null,
            "_type": "Value"
        },
        "newspaper": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "newsdate": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "domain": {
            "num_classes": 5,
            "names": [
                "business",
                "sports",
                "national",
                "foreign",
                "showbiz"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        },
        "classification": {
            "num_classes": 3,
            "names": [
                "wholly_derived",
                "partially_derived",
                "not_derived"
            ],
            "names_file": null,
            "id": null,
            "_type": "ClassLabel"
        }
    }
}