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Frankestain
Private instruction-tuning dataset for a personal cybersecurity study assistant aligned to a phased learning roadmap (Linux/networking → scripting → low-level → structured paths). Authorized lab use only. Content is for learning on systems you own or have explicit permission to test. Do not use it to attack networks, devices, or accounts you do not own.
Dataset summary
- Format: JSON array of objects
- Fields:
instruction(string) — user/ask promptoutput(string) — target assistant replytopic(string) — content bucket (e.g.bandit_system_skills,linux_permissions_and_files,duckyscript_advanced)phase(string) — roadmap phase1–4side(string) —blueorredframing
- Language mix: Italian and English prompts/answers appear in the data
- Scale: hundreds of examples (small / growing); not a production-scale corpus
Phases (roadmap alignment)
| Phase | Focus (high level) |
|---|---|
| 1 | Linux basics: shell, files, permissions, processes, Bandit-style skills |
| 2 | Networking / scripting-oriented security topics |
| 3 | Lower-level and specialized topics (e.g. analysis, HID/DuckyScript lab material) |
| 4 | Broader structured-path style material |
| Topic labels should match the phase. Phase 1 is reserved for foundational Linux skills, not advanced Windows exploitation. |
Intended use
- Supervised fine-tuning (SFT) / LoRA of a small assistant that explains concepts and lab workflows
- Filtering by
phase,topic, orsidefor curriculum-specific adapters - Holding out an evaluation split (do not train on every row)
Out of scope
- Not a substitute for hands-on practice (terminal, labs, hardware you own)
- Not a source of “copy-paste attack” playbooks for unauthorized use
- Not sufficient alone for strong code generation (e.g. C) or expert DuckyScript without many more dedicated examples and hardware validation
Data quality notes
- Prefer diverse, non-duplicated examples over near-copies
- Keep
phase/topicconsistent with difficulty - Document lab-only assumptions in answers where actions are described
File layout
merged_dataset_all.json— main training fileREADME.md— this card
Citation / ownership
Private dataset maintained by the repo owner for personal education. Redistribution only as allowed by the owner.
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