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flue

参考:

CLS

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:flue/CLS')
  • 说明
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.
  • 许可:无已知许可
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 5999
'train' 5997
  • 特征
{
    "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

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:flue/PAWS-X')
  • 说明
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.
  • 许可:无已知许可
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 2000
'train' 49399
'validation' 1988
  • 特征
{
    "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

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:flue/XNLI')
  • 说明
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.
  • 许可:无已知许可
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 5010
'train' 392702
'validation' 2490
  • 特征
{
    "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

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:flue/WSD-V')
  • 说明
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.
  • 许可:无已知许可
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 3121
'train' 269821
  • 特征
{
    "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"
    }
}