ecthr_cases

مراجع:

• شفرة
• معانقة

التنبؤ بالانتهاك المزعوم

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:ecthr_cases/alleged-violation-prediction')

• وصف :

The ECtHR Cases dataset is designed for experimentation of neural judgment prediction and rationale extraction considering ECtHR cases.

• الترخيص : CC BY-NC-SA (Creative Commons / Attribution-NonCommercial-ShareAlike)
• الإصدار : 1.1.0
• الإنشقاقات :

ينقسم	أمثلة
'test'	1000
'train'	9000
'validation'	1000

• سمات :

{
    "facts": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "labels": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "silver_rationales": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "gold_rationales": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

التنبؤ بالانتهاك

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:ecthr_cases/violation-prediction')

• وصف :

The ECtHR Cases dataset is designed for experimentation of neural judgment prediction and rationale extraction considering ECtHR cases.

• الترخيص : CC BY-NC-SA (Creative Commons / Attribution-NonCommercial-ShareAlike)
• الإصدار : 1.1.0
• الإنشقاقات :

ينقسم	أمثلة
'test'	1000
'train'	9000
'validation'	1000

• سمات :

{
    "facts": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "labels": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "silver_rationales": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}