ai2_arc

مراجع:

• کد
• صورت در آغوش گرفته

ARC-Challenge

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

ds = tfds.load('huggingface:ai2_arc/ARC-Challenge')

• توضیحات :

A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
 advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
 only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
 including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.

• مجوز : مجوز شناخته شده ای وجود ندارد
• نسخه : 1.0.0
• تقسیم ها :

تقسیم کنید	نمونه ها
'test'	1172
'train'	1119
'validation'	299

• ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ARC-Easy

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

ds = tfds.load('huggingface:ai2_arc/ARC-Easy')

• توضیحات :

A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
 advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
 only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
 including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.

• مجوز : مجوز شناخته شده ای وجود ندارد
• نسخه : 1.0.0
• تقسیم ها :

تقسیم کنید	نمونه ها
'test'	2376
'train'	2251
'validation'	570

• ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}