参考:
使用以下命令在 TFDS 中加载此数据集:
ds = tfds.load('huggingface:code_x_glue_cc_clone_detection_big_clone_bench')
- 说明:
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.
- 许可:无已知许可
- 版本:0.0.0
- 拆分:
拆分 | 样本 |
---|---|
'test' |
415416 |
'train' |
901028 |
'validation' |
415416 |
- 特征:
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"func1": {
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"label": {
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