Datasets:
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: description | |
| dtype: string | |
| - name: cpes | |
| sequence: string | |
| - name: cvss_v4_0 | |
| dtype: float64 | |
| - name: cvss_v3_1 | |
| dtype: float64 | |
| - name: cvss_v3_0 | |
| dtype: float64 | |
| - name: cvss_v2_0 | |
| dtype: float64 | |
| splits: | |
| - name: train | |
| num_bytes: 363023583.0092845 | |
| num_examples: 559803 | |
| - name: test | |
| num_bytes: 40336385.990715496 | |
| num_examples: 62201 | |
| download_size: 158862200 | |
| dataset_size: 403359969.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| task_categories: | |
| - text-classification | |
| license: agpl-3.0 | |
| library_name: datasets | |
| tags: | |
| - vulnerability | |
| - cybersecurity | |
| - security | |
| - cve | |
| - cvss | |
| This dataset, `CIRCL/vulnerability-scores`, comprises over 600,000 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](https://huggingface.co/papers/2507.03607). | |
| Project page: [https://vulnerability.circl.lu](https://vulnerability.circl.lu) | |
| Associated code: [https://github.com/vulnerability-lookup/ML-Gateway](https://github.com/vulnerability-lookup/ML-Gateway) | |
| ### Sources of the data | |
| - CVE Program (enriched with data from vulnrichment and Fraunhofer FKIE) | |
| - GitHub Security Advisories | |
| - PySec advisories | |
| - CSAF Red Hat | |
| - CSAF Cisco | |
| - CSAF CISA | |
| Extracted from the database of [Vulnerability-Lookup](https://vulnerability.circl.lu). | |
| Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/). | |
| ### Query with datasets | |
| ```python | |
| import json | |
| from datasets import load_dataset | |
| dataset = load_dataset("CIRCL/vulnerability-scores") | |
| vulnerabilities = ["CVE-2012-2339", "RHSA-2023:5964", "GHSA-7chm-34j8-4f22", "PYSEC-2024-225"] | |
| filtered_entries = dataset.filter(lambda elem: elem["id"] in vulnerabilities) | |
| for entry in filtered_entries["train"]: | |
| print(json.dumps(entry, indent=4)) | |
| ``` |