مراجع:
جاوا
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:code_x_glue_cc_code_completion_token/java')
- توضیحات :
CodeXGLUE CodeCompletion-token dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/CodeCompletion-token
Predict next code token given context of previous tokens. Models are evaluated by token level accuracy.
Code completion is a one of the most widely used features in software development through IDEs. An effective code completion tool could improve software developers' productivity. We provide code completion evaluation tasks in two granularities -- token level and line level. Here we introduce token level code completion. Token level task is analogous to language modeling. Models should have be able to predict the next token in arbitary types.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 0.0.0
- تقسیمات :
تقسیم کنید | نمونه ها |
---|---|
'test' | 8268 |
'train' | 12934 |
'validation' | 7189 |
- ویژگی ها :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"code": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
پایتون
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:code_x_glue_cc_code_completion_token/python')
- توضیحات :
CodeXGLUE CodeCompletion-token dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/CodeCompletion-token
Predict next code token given context of previous tokens. Models are evaluated by token level accuracy.
Code completion is a one of the most widely used features in software development through IDEs. An effective code completion tool could improve software developers' productivity. We provide code completion evaluation tasks in two granularities -- token level and line level. Here we introduce token level code completion. Token level task is analogous to language modeling. Models should have be able to predict the next token in arbitary types.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 0.0.0
- تقسیمات :
تقسیم کنید | نمونه ها |
---|---|
'test' | 50000 |
'train' | 100000 |
- ویژگی ها :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"path": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"code": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}