References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:code_x_glue_cc_clone_detection_big_clone_bench')
- Description:
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.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'test' |
415416 |
'train' |
901028 |
'validation' |
415416 |
- Features:
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