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    <identifier>10.57760/sciencedb.010q4</identifier>
    <datestamp>2026-09-07T09:30:48Z</datestamp>
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  <dc:date>2026-09-07</dc:date>
  <dc:title>A Dataset of Vulnerability-Introducing Commits</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.010q4</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is designed for vulnerability-affected version identification and vulnerability-introducing commit identification. It contains 684 CVEs from four open-source software projects and covers 102 distinct CWE vulnerability types. For each CVE, the dataset provides vulnerability-affected version annotations and official vulnerability-introducing commit annotations, which can serve as ground-truth labels for version-level vulnerability impact analysis and commit-level vulnerability introduction identification, respectively.</dc:description>
  <dc:subject>vulnerability; opensource; vulnerability-introducing; vulnerability-affected version</dc:subject>
  <dc:creator>chen xing chu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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