CIRCL/vulnerability-scores

vulnerability-scores This dataset comprises 798,886 real-world vulnerabilities used to train and evaluate VLAI, a transformer-based model designed to predict software vulnerability severity levels directly from text descriptions, enabling faster and more consistent triage. The dataset is presented in the paper VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity Classification. Sources Source Label Entries Share cvelistv5 CVE Program… See the full description on the dataset page: https://huggingface.co/datasets/CIRCL/vulnerability-scores.