Update README.md

README.md

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 ### Description
 
-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.
+This dataset, CIRCL/vulnerability-cwe-patch, provides structured, real-world vulnerabilities enriched with CWE identifiers and corresponding patches from platforms like GitHub and GitLab. It is designed to support the development of tools for vulnerability classification, triage, and automated remediation. 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.
 
-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.
-Source Data
+The dataset is automatically extracted via a pipeline that fetches vulnerability records from multiple sources, filters out entries without patches, and verifies the accessibility of patch links. Patches are then fetched, base64-encoded, and stored alongside commit messages for the training and evaluation of machine learning models.
 
-The dataset comprises 39,260 vulnerabilities and **49,001 associated patches**. For training, we consider only those patches corresponding to vulnerabilities annotated with at least one CWE.
+The dataset consists of 39,260 vulnerabilities and **49,001 associated patches**. For training purposes, only patches corresponding to vulnerabilities annotated with at least one CWE are considered.
 
 
 ### How to use with datasets