煙道

参考文献:

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:
スプリット
'test' 5999
'train' 5997
  • 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:
スプリット
'test' 2000年
'train' 49399
'validation' 1988年
  • 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:
スプリット
'test' 5010
'train' 392702
'validation' 2490
  • 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:
スプリット
'test' 3121
'train' 269821
  • 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"
    }
}