code_x_glue_cc_defect_detection

参考：

• 代码
• Huggingface

使用以下命令在 TFDS 中加载此数据集：

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

• 说明：

CodeXGLUE Defect-detection dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Defect-detection

Given a source code, the task is to identify whether it is an insecure code that may attack software systems, such as resource leaks, use-after-free vulnerabilities and DoS attack. We treat the task as binary classification (0/1), where 1 stands for insecure code and 0 for secure code.
The dataset we use comes from the paper Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. We combine all projects and split 80%/10%/10% for training/dev/test.

• 许可：无已知许可
• 版本：0.0.0
• 拆分：

拆分	样本
'test'	2732
'train'	21854
'validation'	2732

• 特征：

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