煙道

参考文献:

• コード
• ハグフェイス

CLS

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:flue/CLS')

• 説明：

FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. The goal is to enable further reproducible experiments in the future and to share models and progress on the French language.

• ライセンス: 不明なライセンス
• バージョン: 1.0.0
• 分割:

• 特徴：

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "negative",
            "positive"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

PAWS-X

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:flue/PAWS-X')

• 説明：

FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. The goal is to enable further reproducible experiments in the future and to share models and progress on the French language.

• ライセンス: 不明なライセンス
• バージョン: 1.0.0
• 分割:

• 特徴：

{
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

XNLI

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:flue/XNLI')

• 説明：

FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. The goal is to enable further reproducible experiments in the future and to share models and progress on the French language.

• ライセンス: 不明なライセンス
• バージョン: 1.0.0
• 分割:

• 特徴：

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypo": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "contradiction",
            "entailment",
            "neutral"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

WSD-V

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:flue/WSD-V')

• 説明：

FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. The goal is to enable further reproducible experiments in the future and to share models and progress on the French language.

• ライセンス: 不明なライセンス
• バージョン: 1.0.0
• 分割:

• 特徴：

{
    "sentence": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "lemmas": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "fine_pos_tags": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "disambiguate_tokens_ids": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "disambiguate_labels": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "idx": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}