דֶלְפֵּק

הפניות:

• קוד
• מחבקת פנים

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

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

• תיאור :

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.

• רישיון : הקורפוס מורשה תחת רישיון Creative Commons ייחוס-לא מסחרי-שיתוף זהה 4.0 בינלאומי.
• גרסה : 1.0.0
• פיצולים :

• תכונות :

{
    "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"
        }
    }
}