A comprehensive dataset for training multi-label classifiers to predict MITRE ATT&CK techniques from vulnerability descriptions.
This dataset contains vulnerability descriptions paired with MITRE ATT&CK technique labels, designed for training and evaluating multi-label text classification models in the cybersecurity domain.
Dual-source data: 10,000 real CVE descriptions and 10,000 synthetic… See the full description on the dataset page:
https://huggingface.co/datasets/SpongeBOB9684/CVE-TO-MITRE.
