tmu_gfm_dataset

Referanslar:

• kod
• sarılma yüz

Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:

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

• Açıklama :

A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs. More detail about the creation of the dataset can be found in Yoshimura et al. (2020).

• Lisans : Bilinen lisans yok
• Sürüm : 1.1.0
• Bölmeler :

• Özellikler :

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        "id": null,
        "_type": "Value"
    },
    "output": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "grammer": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "fluency": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "meaning": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "system": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "ave_g": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "ave_f": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "ave_m": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}