code_x_glue_cc_defect_detection

Referanslar:

Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:

ds = tfds.load('huggingface:code_x_glue_cc_defect_detection')
  • Tanım :
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.
  • Lisans : Bilinen lisans yok
  • Sürüm : 0.0.0
  • Bölünmeler :
Bölmek Örnekler
'test' 2732
'train' 21854
'validation' 2732
  • Özellikler :
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