Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
cybersecurity
defensive-security
detection-engineering
incident-response
threat-intelligence
vulnerability-management
License:
Upload layers/INDEX.md with huggingface_hub
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layers/INDEX.md
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# HolyCyber — Layers index
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One focused dataset per cybersecurity domain, each built from that domain's own authoritative sources.
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- **Layers:** 17
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- **Rows (all layers):** 51,988
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- **Total tokens (all layers):** 128,064,492
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- **Floor:** 2,000 tokens per row (user+assistant), enforced everywhere
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| Layer | Rows | Groups | Train/Val/Test | Tasks | Min tok | Median tok | Core share | Token total |
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|---|---|---|---|---|---|---|---|---|
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| `threat_intelligence` | 2,865 | 906 | 2,304/286/275 | 8 | 2,055 | 2,286 | 14% | 6,584,918 |
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| `attack_knowledge` | 2,925 | 647 | 2,367/278/280 | 10 | 2,060 | 2,265 | 6% | 6,689,467 |
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| `vulnerability_management` | 3,493 | 1,154 | 2,799/354/340 | 4 | 2,075 | 2,246 | 8% | 7,875,961 |
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| `detection_engineering` | 7,970 | 4,241 | 6,399/765/806 | 6 | 2,085 | 2,213 | 12% | 17,964,031 |
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| `defense_engineering` | 2,995 | 848 | 2,422/285/288 | 6 | 2,086 | 2,321 | 18% | 6,962,624 |
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| `ai_ml_security` | 4,602 | 1,716 | 3,687/479/436 | 7 | 2,051 | 2,888 | 100% | 13,497,055 |
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| `secure_coding` | 2,659 | 1,001 | 2,144/249/266 | 8 | 2,088 | 2,331 | 14% | 6,272,640 |
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| `pentest` | 2,846 | 785 | 2,302/285/259 | 8 | 2,050 | 2,316 | 18% | 6,677,903 |
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| `incident_response` | 2,993 | 625 | 2,407/296/290 | 7 | 2,088 | 2,379 | 12% | 7,030,785 |
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| `network_security` | 2,383 | 643 | 1,886/246/251 | 6 | 2,069 | 2,338 | 19% | 5,713,268 |
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| `cloud_security` | 2,254 | 590 | 1,804/232/218 | 7 | 2,076 | 2,313 | 18% | 5,310,326 |
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| `malware_analysis` | 2,105 | 1,073 | 1,684/223/198 | 4 | 2,081 | 2,348 | 16% | 5,184,719 |
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| `identity_access` | 2,310 | 623 | 1,870/234/206 | 6 | 2,080 | 2,330 | 19% | 5,499,715 |
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| `cryptography` | 2,101 | 579 | 1,688/228/185 | 6 | 2,064 | 2,873 | 100% | 6,097,825 |
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| `governance_risk` | 3,176 | 1,925 | 2,549/305/322 | 3 | 2,090 | 2,281 | 13% | 7,737,824 |
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| `ml_security_methodology` | 2,111 | 972 | 1,744/177/190 | 1 | 2,052 | 2,892 | 100% | 6,311,722 |
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| `safety_boundary` | 2,200 | 700 | 1,777/209/214 | 1 | 2,091 | 2,906 | 100% | 6,653,709 |
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`Core share` is the median percentage of an answer that is the entity's own material; the rest is a labelled reference appendix (`## Reference: ...`).
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Each layer directory contains `train.jsonl`, `val.jsonl`, `test.jsonl` and a `DATASET_CARD.md`.
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The global dataset (`dataset/train.jsonl`, `val.jsonl`, `test.jsonl`) is the concatenation of the layers with rows whose answer already occurs in another layer removed, so it holds a few fewer rows than the layer total and has no repeated answer text.
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Every layer meets the 2,000-row target and the 2,000-token floor. Thin domains reach the row target by drawing on the wider public corpus (arXiv, IETF, OWASP, NIST); `research/SOURCE_TABLE.md` records what each layer rests on and `research/AUDIT_REPORT.md` reports the measured reuse of reference material.
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