mbpp

참고자료:

• 암호
• 포옹하는 얼굴

가득한

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:mbpp/full')

• 설명 :

The MBPP (Mostly Basic Python Problems) dataset consists of around 1,000 crowd-sourced Python
programming problems, designed to be solvable by entry level programmers, covering programming
fundamentals, standard library functionality, and so on. Each problem consists of a task
description, code solution and 3 automated test cases.

• 라이센스 : CC-BY-4.0
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "task_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "code": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_list": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "test_setup_code": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "challenge_test_list": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

위생처리된

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:mbpp/sanitized')

• 설명 :

The MBPP (Mostly Basic Python Problems) dataset consists of around 1,000 crowd-sourced Python
programming problems, designed to be solvable by entry level programmers, covering programming
fundamentals, standard library functionality, and so on. Each problem consists of a task
description, code solution and 3 automated test cases.

• 라이센스 : CC-BY-4.0
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "source_file": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "task_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "prompt": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "code": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_imports": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "test_list": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}