Datasets:
Download layers/INDEX.md from ansulev/HolyCyber-Dataset: direct link, hf CLI and curl.
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hf download hf://datasets/ansulev/HolyCyber-Dataset/layers/INDEX.md
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curl -L -o INDEX.md https://huggingface.co/datasets/ansulev/HolyCyber-Dataset/resolve/main/layers/INDEX.md
HolyCyber — Layers index
One focused dataset per cybersecurity domain, each built from that domain's own authoritative sources.
- Layers: 17
- Rows (all layers): 51,988
- Total tokens (all layers): 128,064,492
- Floor: 2,000 tokens per row (user+assistant), enforced everywhere
| Layer | Rows | Groups | Train/Val/Test | Tasks | Min tok | Median tok | Core share | Token total |
|---|---|---|---|---|---|---|---|---|
threat_intelligence |
2,865 | 906 | 2,304/286/275 | 8 | 2,055 | 2,286 | 14% | 6,584,918 |
attack_knowledge |
2,925 | 647 | 2,367/278/280 | 10 | 2,060 | 2,265 | 6% | 6,689,467 |
vulnerability_management |
3,493 | 1,154 | 2,799/354/340 | 4 | 2,075 | 2,246 | 8% | 7,875,961 |
detection_engineering |
7,970 | 4,241 | 6,399/765/806 | 6 | 2,085 | 2,213 | 12% | 17,964,031 |
defense_engineering |
2,995 | 848 | 2,422/285/288 | 6 | 2,086 | 2,321 | 18% | 6,962,624 |
ai_ml_security |
4,602 | 1,716 | 3,687/479/436 | 7 | 2,051 | 2,888 | 100% | 13,497,055 |
secure_coding |
2,659 | 1,001 | 2,144/249/266 | 8 | 2,088 | 2,331 | 14% | 6,272,640 |
pentest |
2,846 | 785 | 2,302/285/259 | 8 | 2,050 | 2,316 | 18% | 6,677,903 |
incident_response |
2,993 | 625 | 2,407/296/290 | 7 | 2,088 | 2,379 | 12% | 7,030,785 |
network_security |
2,383 | 643 | 1,886/246/251 | 6 | 2,069 | 2,338 | 19% | 5,713,268 |
cloud_security |
2,254 | 590 | 1,804/232/218 | 7 | 2,076 | 2,313 | 18% | 5,310,326 |
malware_analysis |
2,105 | 1,073 | 1,684/223/198 | 4 | 2,081 | 2,348 | 16% | 5,184,719 |
identity_access |
2,310 | 623 | 1,870/234/206 | 6 | 2,080 | 2,330 | 19% | 5,499,715 |
cryptography |
2,101 | 579 | 1,688/228/185 | 6 | 2,064 | 2,873 | 100% | 6,097,825 |
governance_risk |
3,176 | 1,925 | 2,549/305/322 | 3 | 2,090 | 2,281 | 13% | 7,737,824 |
ml_security_methodology |
2,111 | 972 | 1,744/177/190 | 1 | 2,052 | 2,892 | 100% | 6,311,722 |
safety_boundary |
2,200 | 700 | 1,777/209/214 | 1 | 2,091 | 2,906 | 100% | 6,653,709 |
Core share is the median percentage of an answer that is the entity's own material; the rest is a labelled reference appendix (## Reference: ...).
Each layer directory contains train.jsonl, val.jsonl, test.jsonl and a DATASET_CARD.md.
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.
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.