cosmos_qa

منابع:

• کد
• صورت در آغوش گرفته

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

• توضیحات :

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

• مجوز : مجوز شناخته شده ای وجود ندارد
• نسخه : 0.1.0
• تقسیمات :

• ویژگی ها :

{
    "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"
    }
}