Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
cybersecurity
defensive-security
detection-engineering
incident-response
threat-intelligence
vulnerability-management
License:
|
Download layers/attack_knowledge/DATASET_CARD.md from DonkeypunchEX/HolyCyber: direct link, hf CLI and curl.
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https://huggingface.co/datasets/DonkeypunchEX/HolyCyber/resolve/main/layers/attack_knowledge/DATASET_CARD.md
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5.53 kB
| # HolyCyber — Layer: `attack_knowledge` | |
| A focused dataset for the `attack_knowledge` domain of the HolyCyber corpus, built on its own from that domain's authoritative sources only. | |
| ## Overview | |
| - **Rows:** 2,925 | |
| - **Groups (leakage units):** 647 | |
| - **Entities in the domain:** 647 | |
| - **Splits:** test=280, train=2,367, val=278 | |
| - **Task types:** 10 | **Subdomains:** 6 | |
| - **Row size (tiktoken cl100k, user+assistant):** min 2,060 / median 2,265 / mean 2,287 / p90 2,477 / max 2,648 tokens | |
| - **Entity's own material:** median 6% of an answer's tokens; 2,734 rows are below 25% (the balance is the labelled reference appendix) | |
| - **Total tokens:** 6,689,467 | **Rows below the 2,000-token floor:** 0 | |
| - **Canary:** every row carries the decontamination canary | |
| ## Record format | |
| One JSON object per line; `messages` is a three-turn chat (system / user / assistant). | |
| ```json | |
| {"id": "6d408e38f3cb8dff", "row_key": "<domain>:<group_key>:<task_type>:<subdomain>:<part>", | |
| "domain": "attack_knowledge", "subdomain": "...", | |
| "task_type": "...", "difficulty": "intermediate", "group_key": "...", | |
| "source": "...", "license": "...", "split": "train", "canary": "...", | |
| "tokens": {"user": 180, "assistant": 2350, "total": 2530}, | |
| "core_share": 0.41, "appendix": true, | |
| "references": [{"title": "...", "url": "..."}], | |
| "messages": [{"role": "system", "content": "..."}, | |
| {"role": "user", "content": "..."}, | |
| {"role": "assistant", "content": "## ...\n..."}]} | |
| ``` | |
| | Field | Meaning | | |
| |---|---| | |
| | `id` | content hash of user+assistant, stable across rebuilds of the same row | | |
| | `row_key` | stable identity across rebuilds (`domain:group:task:subdomain:part`) | | |
| | `domain` / `subdomain` | this layer, and the slice of it the row covers | | |
| | `task_type` | the question shape (detection, mitigation, mapping, ...) | | |
| | `difficulty` | derived from the task shape, not guessed | | |
| | `group_key` | the source entity; the unit of the train/val/test split | | |
| | `source` / `license` | the authoritative source, and its licence | | |
| | `tokens` | measured `cl100k_base` counts for user, assistant and total | | |
| | `core_share` | share of the answer that is the entity's own material (1 - appendix) | | |
| | `appendix` | whether the row carries a `## Reference:` appendix | | |
| | `references` | resolvable links for the entities cited in the answer | | |
| | `canary` | decontamination marker | | |
| ## What a row contains | |
| Topic sections used in this layer's answers (structural labels such as `Answer` or `Context` and the appendix are excluded): | |
| | Section | Rows | | |
| |---|---| | |
| | Summary | 912 | | |
| | Defensive use | 839 | | |
| | Underlying weaknesses | 588 | | |
| | Consequences | 584 | | |
| | Classification | 541 | | |
| | Definition | 539 | | |
| | Options | 534 | | |
| | Rationale | 534 | | |
| | Reference | 534 | | |
| | Chaining | 481 | | |
| | Related attack patterns | 441 | | |
| | The chain | 419 | | |
| ## How this layer is built | |
| 1. **Base cells** — the rows the source parsers emit for this domain (one per entity x task type x subdomain). | |
| 2. **Task shapes** — the same entity asked a different defensive question (detection, mitigation, framework mapping, response), built only from other sections of that entity's own record. No new facts are introduced. | |
| 3. **Reference pack** — a row still under the token floor is padded with compact descriptions of other entities *of this domain*, taken from this domain's own source text; the window rotates per row. | |
| Every row therefore comes from this domain's sources only, clears the 2,000-token floor, and no two rows are the same. | |
| ## Task types | |
| | Task type | Rows | | |
| |---|---| | |
| | relationship_reasoning | 953 | | |
| | knowledge_explanation | 636 | | |
| | identification | 534 | | |
| | risk_assessment | 277 | | |
| | chain_reasoning | 196 | | |
| | definition | 161 | | |
| | control_mapping | 72 | | |
| | incident_response | 52 | | |
| | mitigation_remediation | 41 | | |
| | threat_attribution | 3 | | |
| ## Subdomains | |
| | Subdomain | Rows | | |
| |---|---| | |
| | pattern_overview | 1,331 | | |
| | pattern_chain | 558 | | |
| | pattern_prerequisites | 421 | | |
| | pattern_consequences | 329 | | |
| | pattern_execution | 245 | | |
| | pattern_mitigation | 41 | | |
| ## Sources | |
| | Source | Rows | | |
| |---|---| | |
| | capec | 2,714 | | |
| | mitre-attack | 211 | | |
| ## Quality controls | |
| - **Exact duplicates removed:** 0 | |
| - **Near-duplicates removed:** 74 (MinHash-LSH, Jaccard >= 0.90, same task type only) | |
| - **Quality gate:** 0 rejected ({}) | |
| - **Contaminated rows removed:** 0 ({}) | |
| - **Split integrity:** group-level by `group_key`; no group crosses a split | |
| ## Intended use | |
| Supervised fine-tuning / evaluation of a defensive cybersecurity assistant specialised in this domain. All rows are defensive, detection or analysis oriented; none contains functional exploit code or weaponised prompts. | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("json", data_files=dict(train="attack_knowledge/train.jsonl", validation="attack_knowledge/val.jsonl", test="attack_knowledge/test.jsonl")) | |
| # rows whose answer is mostly the entity itself, not the appendix | |
| core = ds["train"].filter(lambda r: r["core_share"] >= 0.5) | |
| ``` | |
| ## Limitations | |
| - 2,734 of 2,925 rows are more than 75% labelled reference appendix: this domain's own records are shorter than the 2,000-token floor, so the row is completed with other entities' records. Mask the appendix when fine-tuning if you only want the core answer. | |
| - Paragraph-level reuse is measured in `research/AUDIT_REPORT.md`; rows are unique but their appendix material is shared. |