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README.md

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+---
+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.