CIRCL/vulnerability-scores

vulnerability-scores This dataset comprises 823,133 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.

<iframe src="https://silytics.si/embed/item/6c8666a5-01d2-40e7-ab95-bb99e54329c1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.