tezgah

Referanslar:

Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:

ds = tfds.load('huggingface:counter')
  • Tanım :
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.
  • Lisans : Derlem, Creative Commons Atıf-GayriTicari-AynıPaylaş 4.0 Uluslararası Lisansı kapsamında lisanslanmıştır.
  • Sürüm : 1.0.0
  • Bölünmeler :
Bölmek Örnekler
'train' 600
  • Özellikler :
{
    "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"
        }
    }
}