code_x_glue_cc_clone_detection_big_clone_bench

Références:

• Code
• Visage étreignant

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:code_x_glue_cc_clone_detection_big_clone_bench')

• Descriptif :

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.

• Licence : Aucune licence connue
• Version : 0.0.0
• Fractionnements :

• Caractéristiques :

{
    "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"
    }
}