cosmos_qa

مراجع:

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

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

الوصف :

Cosmos QA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions. It focuses on reading between the lines over a diverse collection of people's everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context

الترخيص : لا يوجد ترخيص معروف
الإصدار : 0.1.0
الانقسامات :

انشق، مزق	أمثلة
`'test'`	6963
`'train'`	25262
`'validation'`	2985

الميزات :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer0": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer3": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}