ROLLY-AGENTIC-CYBER-DATASET
Curator: ROVALTHIA LABORATORY
Official Dataset Repository: JuanCDEV/rovalthia-data
Companion Model: JuanCDEV/rovalthia
License: Apache 2.0
Domains: Defensive Cybersecurity, Zero Trust Architecture, CTI Threat Hunting, Autonomous Agentic Orchestration, Formal Reasoning.
1. Overview & Purpose
The ROLLY-AGENTIC-CYBER-DATASET provides a vetted, high-density instruction and evaluation dataset designed to train and benchmark autonomous agentic AI models on defensive security, incident response, vulnerability management, and multi-agent coordination.
2. Splits & Composition
| Split | File | Examples Count | Purpose |
|---|---|---|---|
| Train | data/train.jsonl |
244 | Supervised instruction tuning for defensive cyber reasoning |
| Validation | data/validation.jsonl |
52 | In-training loss and early stopping evaluation |
| Test | data/test.jsonl |
35 | Public diagnostic benchmark split with ground-truth rubrics |
All private enterprise documents and proprietary customer logs are strictly excluded.
3. Provenance & License Matrix
Every sample in this dataset is auditable and traceable to permissible open-source or public domain research:
- SANS Technology Institute Academic Research (Permissive citation)
- NIST Special Publications 800-Series (United States Public Domain)
- CISA Advisories & KEV Catalog (United States Public Domain)
- Synthetic Multi-Turn Reasoning Traces (ROVALTHIA Proprietary, released under Apache-2.0)
Full license audit: LICENSE_MATRIX.json.
4. How to Load
from datasets import load_dataset
dataset = load_dataset("JuanCDEV/rovalthia-data")
print("Train split size:", len(dataset["train"]))
print("Sample:", dataset["train"][0])
- Downloads last month
- 14