code_x_glue_cc_clone_Detection_big_clone_bench

참조:

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:code_x_glue_cc_clone_detection_big_clone_bench')
  • 설명 :
CodeXGLUE Clone-detection-BigCloneBench dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Clone-detection-BigCloneBench

Given two codes as the input, the task is to do binary classification (0/1), where 1 stands for semantic equivalence and 0 for others. Models are evaluated by F1 score.
The dataset we use is BigCloneBench and filtered following the paper Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.
  • 라이선스 : 알려진 라이선스 없음
  • 버전 : 0.0.0
  • 분할 :
나뉘다
'test' 415416
'train' 901028
'validation' 415416
  • 특징 :
{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "id1": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "id2": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "func1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "func2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}