contatore

Riferimenti:

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:counter')
  • Descrizione :
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.
  • Licenza : il corpus è concesso in licenza in base alla licenza internazionale Creative Commons Attribuzione-Non commerciale-Condividi allo stesso modo 4.0.
  • Versione : 1.0.0
  • Divide :
Diviso Esempi
'train' 600
  • Caratteristiche :
{
    "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"
        }
    }
}