---
language: en
license: apache-2.0
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
tags:
  - cybersecurity
  - vulnerability
  - cvss
  - cve
size_categories:
  - 10K<n<100K
---

# CyberScale Training CVEs

Training dataset for the CyberScale vulnerability severity scorer. Contains 30,641 CVEs with CVSS v3.x scores, descriptions, and CWE classifications.

## Dataset Description

- **Source:** cvelistV5 (CVE.org GitHub repository)
- **Quality filters:** RESERVED/REJECTED rejection, min 10 tokens, SHA-256 description dedup
- **Selection:** Boundary-enriched sampling (33% from +/-1.0 of CVSS band edges)
- **Balance:** Equal samples per CVSS band (Critical/High/Medium/Low)

## Schema

| Column | Type | Description |
|--------|------|-------------|
| `cve_id` | string | CVE identifier (e.g., CVE-2024-1234) |
| `description` | string | Vulnerability description (English) |
| `cvss_score` | float | CVSS v3.x base score (0.0-10.0) |
| `cvss_version` | string | CVSS version (3.0 or 3.1) |
| `cwe` | string | CWE identifier (e.g., CWE-79), may be null |
| `source` | string | Data source (cvelistV5) |

## Statistics

- **Total CVEs:** 30,641
- **CVSS version:** 88% v3.1
- **CWE coverage:** 74%
- **Unique CWEs:** 573

### Band Distribution

| Band | Count | Score Range |
|------|-------|-------------|
| Critical | 3,688 | 9.0 - 10.0 |
| High | 9,043 | 7.0 - 8.9 |
| Medium | 13,355 | 4.0 - 6.9 |
| Low | 4,555 | 0.0 - 3.9 |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("eromang/cyberscale-training-cves")
```

## Citation

Part of the CyberScale project — multi-phase cyber severity assessment MCP server.