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README.md

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+---
+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.