прилавок

Ссылки:

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

ds = tfds.load('huggingface:counter')
  • Описание :
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.
  • Лицензия : Корпус распространяется по международной лицензии Creative Commons Attribution-NonCommercial-ShareAlike 4.0.
  • Версия : 1.0.0
  • Расколы :
Расколоть Примеры
'train' 600
  • Функции :
{
    "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"
        }
    }
}