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/cloud_security/DATASET_CARD.md from ansulev/HolyCyber-Dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ansulev/HolyCyber-Dataset/resolve/main/layers/cloud_security/DATASET_CARD.md
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5.56 kB
| # HolyCyber — Layer: `cloud_security` | |
| A focused dataset for the `cloud_security` domain of the HolyCyber corpus, built on its own from that domain's authoritative sources only. | |
| ## Overview | |
| - **Rows:** 2,254 | |
| - **Groups (leakage units):** 590 | |
| - **Entities in the domain:** 590 | |
| - **Splits:** test=218, train=1,804, val=232 | |
| - **Task types:** 7 | **Subdomains:** 5 | |
| - **Row size (tiktoken cl100k, user+assistant):** min 2,076 / median 2,313 / mean 2,356 / p90 2,521 / max 5,288 tokens | |
| - **Entity's own material:** median 18% of an answer's tokens; 1,548 rows are below 25% (the balance is the labelled reference appendix) | |
| - **Total tokens:** 5,310,326 | **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": "cloud_security", "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 | 2,106 | | |
| | Detection strategies and analytics | 945 | | |
| | Tracked users (groups, malware, tools) | 818 | | |
| | Mitigations | 720 | | |
| | Background | 557 | | |
| | Classification | 543 | | |
| | Scope note | 543 | | |
| | Relevant mitigations | 458 | | |
| | Sub-techniques | 85 | | |
| | Introduction | 26 | | |
| | Abstract | 15 | | |
| | Conclusion | 11 | | |
| ## 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 | | |
| |---|---| | |
| | knowledge_explanation | 693 | | |
| | control_mapping | 543 | | |
| | detection_engineering | 405 | | |
| | threat_attribution | 346 | | |
| | mitigation_remediation | 261 | | |
| | definition | 5 | | |
| | ai_security_analysis | 1 | | |
| ## Subdomains | |
| | Subdomain | Rows | | |
| |---|---| | |
| | audit_logging | 751 | | |
| | compute_abuse | 696 | | |
| | container_security | 544 | | |
| | identity_posture | 262 | | |
| | saas_abuse | 1 | | |
| ## Sources | |
| | Source | Rows | | |
| |---|---| | |
| | mitre-attack | 2,103 | | |
| | arxiv-corpus | 118 | | |
| | ietf-rfc | 14 | | |
| | nist-publication | 11 | | |
| | owasp-cheatsheet | 5 | | |
| | research-corpus | 3 | | |
| ## Quality controls | |
| - **Exact duplicates removed:** 0 | |
| - **Near-duplicates removed:** 1 (MinHash-LSH, Jaccard >= 0.90, same task type only) | |
| - **Quality gate:** 2 rejected ({'unresolved_markdown_link': 2}) | |
| - **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="cloud_security/train.jsonl", validation="cloud_security/val.jsonl", test="cloud_security/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 | |
| - 1,548 of 2,254 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. |