metadata
language: en
license: apache-2.0
task_categories:
- text-classification
tags:
- cybersecurity
- incident-classification
- technical-severity
- nis2
- cyber-blueprint
size_categories:
- 1K<n<10K
CyberScale Technical Severity Training Data
Training dataset for the CyberScale incident technical severity classifier (Phase 3 T-model). Contains 8,000 parametric incident scenarios with deterministic T1-T4 labels.
Dataset Description
- Source: Parametrically generated from structured field combinations (50 templates x paraphrase variants)
- Generation:
training/scripts/generate_incidents.py - Labels: 4-class (T1-T4)
- Balance: 2,000 per class after balancing
Schema
| Column | Type | Description |
|---|---|---|
text |
string | Formatted input: <description> [SEP] disruption: <level> entities: <N> sectors: <N> cascading: <level> data_compromise: <level> |
label |
string | Technical severity level (T1/T2/T3/T4) |
Class Distribution
| Label | Count |
|---|---|
| T1 | 2,000 |
| T2 | 2,000 |
| T3 | 2,000 |
| T4 | 2,000 |
Citation
Part of the CyberScale project — multi-phase cyber severity assessment MCP server.