منابع:
متوسط
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:code_x_glue_cc_code_refinement/medium')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 0.0.0
- تقسیم ها :
| شکاف | مثال ها |
|---|---|
'test' | 6545 |
'train' | 52364 |
'validation' | 6546 |
- امکانات :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"buggy": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fixed": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
کم اهمیت
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:code_x_glue_cc_code_refinement/small')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 0.0.0
- تقسیم ها :
| شکاف | مثال ها |
|---|---|
'test' | 5835 |
'train' | 46680 |
'validation' | 5835 |
- امکانات :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"buggy": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fixed": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}