qasc

参考文献:

• コード
• ハグフェイス

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:qasc')

• 説明：

QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice 
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.

• ライセンス: 不明なライセンス
• バージョン: 0.1.0
• 分割:

• 特徴：

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fact1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fact2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "combinedfact": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "formatted_question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}