metadata
language: en
license: apache-2.0
task_categories:
- text-classification
tags:
- cybersecurity
- incident-classification
- operational-severity
- nis2
- cyber-blueprint
size_categories:
- 1K<n<10K
CyberScale Operational Severity Training Data
Training dataset for the CyberScale incident operational severity classifier (Phase 3 O-model). Contains 8,000 parametric incident scenarios with deterministic O1-O4 labels.
Dataset Description
- Source: Parametrically generated from structured field combinations (50 templates x paraphrase variants)
- Generation:
training/scripts/generate_incidents.py - Labels: 4-class (O1-O4)
- Balance: 2,000 per class after balancing
Schema
| Column | Type | Description |
|---|---|---|
text |
string | Formatted input: <description> [SEP] sectors: <list> relevance: <level> ms_affected: <N> cross_border: <level> coordination: <level> capacity_exceeded: <bool> |
label |
string | Operational severity level (O1/O2/O3/O4) |
Class Distribution
| Label | Count |
|---|---|
| O1 | 2,000 |
| O2 | 2,000 |
| O3 | 2,000 |
| O4 | 2,000 |
Citation
Part of the CyberScale project — multi-phase cyber severity assessment MCP server.