code_x_glue_cc_defect_detection

Bibliografia:

• Kod
• Przytulanie twarzy

Użyj następującego polecenia, aby załadować ten zestaw danych w TFDS:

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

• Opis :

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.

• Licencja : brak znanej licencji
• Wersja : 0.0.0
• Dzieli :

• Cechy :

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    "target": {
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    "project": {
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