Gap

参照：

• コード
• Huggingface

次のコマンドを使用して、このデータセットをTFDSにロードします。

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

• 説明：

GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of
(ambiguous pronoun, antecedent name), sampled from Wikipedia and released by
Google AI Language for the evaluation of coreference resolution in practical
applications.

• ライセンス：既知のライセンスはありません
• バージョン：0.1.0
• 分割：

• 特徴：

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Pronoun": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Pronoun-offset": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "A": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "A-offset": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "A-coref": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "B": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "B-offset": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "B-coref": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}