Referências:
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:code_x_glue_cc_clone_detection_big_clone_bench')
- Descrição :
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.
- Licença : Nenhuma licença conhecida
- Versão : 0.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 415416 |
'train' | 901028 |
'validation' | 415416 |
- Características :
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"func1": {
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