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  This dataset, CIRCL/vulnerability-cwe-patch, provides structured real-world vulnerabilities enriched with CWE identifiers and actual patches from platforms like GitHub and GitLab. It was built to support the development of tools for vulnerability classification, triage, and automated repair. Each entry includes metadata such as CVE/GHSA ID, a description, CWE categorization, and links to verified patch commits with associated diff content and commit messages.
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- The dataset is automatically extracted using a robust pipeline that fetches vulnerability records from several sources, filters out entries without patches, and verifies patch links for accessibility. Extracted patches are fetched, encoded in base64, and stored alongside commit messages for training and evaluation of ML models.
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  Source Data
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  The dataset comprises 15,836 vulnerabilities and **18,435 associated patches**. For training, we consider only those patches corresponding to vulnerabilities annotated with at least one CWE.
 
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+ ### Description
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  This dataset, CIRCL/vulnerability-cwe-patch, provides structured real-world vulnerabilities enriched with CWE identifiers and actual patches from platforms like GitHub and GitLab. It was built to support the development of tools for vulnerability classification, triage, and automated repair. Each entry includes metadata such as CVE/GHSA ID, a description, CWE categorization, and links to verified patch commits with associated diff content and commit messages.
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+ The dataset is automatically extracted using a pipeline that fetches vulnerability records from several sources, filters out entries without patches, and verifies patch links for accessibility. Extracted patches are fetched, encoded in base64, and stored alongside commit messages for training and evaluation of ML models.
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  Source Data
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  The dataset comprises 15,836 vulnerabilities and **18,435 associated patches**. For training, we consider only those patches corresponding to vulnerabilities annotated with at least one CWE.