code_x_glue_cc_code_refinement

مراجع:

• شفرة
• معانقة

واسطة

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:code_x_glue_cc_code_refinement/medium')

• وصف :

CodeXGLUE code-refinement dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/code-refinement

We use the dataset released by this paper(https://arxiv.org/pdf/1812.08693.pdf). The source side is a Java function with bugs and the target side is the refined one. All the function and variable names are normalized. Their dataset contains two subsets ( i.e.small and medium) based on the function length.

• الترخيص : لا يوجد ترخيص معروف
• الإصدار : 0.0.0
• الإنشقاقات :

ينقسم	أمثلة
'test'	6545
'train'	52364
'validation'	6546

• سمات :

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "buggy": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fixed": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

صغير

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:code_x_glue_cc_code_refinement/small')

• وصف :

CodeXGLUE code-refinement dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/code-refinement

We use the dataset released by this paper(https://arxiv.org/pdf/1812.08693.pdf). The source side is a Java function with bugs and the target side is the refined one. All the function and variable names are normalized. Their dataset contains two subsets ( i.e.small and medium) based on the function length.

• الترخيص : لا يوجد ترخيص معروف
• الإصدار : 0.0.0
• الإنشقاقات :

ينقسم	أمثلة
'test'	5835
'train'	46680
'validation'	5835

• سمات :

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "buggy": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fixed": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}