hummicroedit

Les références:

• Code
• Visage câlin

sous-tâche-1

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:humicroedit/subtask-1')

• Description :

This new dataset is designed to assess the funniness of edited news headlines.

• Licence : Aucune licence connue
• Version : 0.0.0
• Divisions :

• Caractéristiques :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "original": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "edit": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "grades": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "meanGrade": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}

sous-tâche-2

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:humicroedit/subtask-2')

• Description :

This new dataset is designed to assess the funniness of edited news headlines.

• Licence : Aucune licence connue
• Version : 0.0.0
• Divisions :

• Caractéristiques :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "original1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "edit1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "grades1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "meanGrade1": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "original2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "edit2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "grades2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "meanGrade2": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "equal",
            "sentence1",
            "sentence2"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}