", "section_titles": ["H1/H2/H3…"], "n_chars": 12345, "n_words": 2345, "sha256": "", "crawl_ts": "2025-11-04T00:00:00+00:00", "lang": "en", "license": "CC BY-NC-SA 4.0 (per upstream repo)" } } ``` **Field notes** * `text` keeps fenced code blocks and normalized headings. Front‑matter is removed. * `source_url_site` is a best‑effort canonical link to the rendered wiki page; `source_url_github` always points to the exact file/commit. * `license` mirrors the upstream license hint for clarity. --- ## Quickstart (🤗 Datasets) ### Load the Parquet config (recommended) ```python from datasets import load_dataset REPO = "tandevllc/hacking-tricks" ds = load_dataset(REPO, name="hacking_tricks", split="train") print(len(ds), ds[0]["meta"]["title"]) # sample ``` ### Direct JSONL loading from `raw/` (explicit) ```python from datasets import load_dataset ds = load_dataset( "json", data_files="raw/hacking-tricks.jsonl", repo_id="tandevllc/hacking-tricks", split="train", ) ``` ### Typical filters ````python # Long English articles only long_en = ds.filter(lambda r: r["meta"].get("lang") == "en" and r["meta"].get("n_words", 0) > 800) # Articles with code (simple heuristic) with_code = ds.filter(lambda r: "```" in (r["text"] or "")) # Slice by section heading keyword ad_ops = ds.filter(lambda r: any("Active Directory" in h for h in r["meta"].get("section_titles", []))) ```` ### RAG‑ready retrieval columns * `meta.source_url_github` — stable pointer to the exact file. * `meta.source_url_site` — user‑friendly URL for UI previews. * `meta.sha256` — robust dedup key across updates. --- ## Intended uses * **Pretraining / Continued pretraining** for security‑aware models. * **RAG / QA** over a curated set of red‑team/blue‑team encyclopedic pages. * **Summarization & explanation** of workflows, checklists, and attack surfaces. * **Evaluation**: security knowledge, long‑form reasoning on procedures, and code‑aware contexts. > This corpus is **didactic/encyclopedic**. It does **not** replace hands‑on lab data, exploit PoCs, or live telemetry. --- ## Cleaning & quality * YAML front‑matter and boilerplate removed; headings normalized; excessive blank lines collapsed. * Code fences retained verbatim for downstream code‑aware models. * Article‑level minimum length applied (very short files excluded). * Stable dedup via `meta.sha256` and exact `source_path` at a specific commit. --- ## Limitations & caveats * **Upstream drift**: HackTricks evolves; future updates may add/rename pages. * **License constraints**: Non‑commercial, ShareAlike terms apply; see License below. * **Context gaps**: Some pages assume prior knowledge or external links. * **No execution traces**: Articles describe tactics; they are not runtime logs or CVE feeds. --- ## License * **Underlying content**: © respective HackTricks authors, typically **CC BY‑NC‑SA 4.0** as stated in the upstream repositories/site. * **License:** "TanDev Proprietary License — All Rights Reserved" When you use this dataset, you **must**: 1. Provide **attribution** to HackTricks and the specific article(s) used. 2. Use it **non‑commercially** unless you have additional permission from rights holders. 3. Distribute derivatives under the **same license** (ShareAlike). If you are a rights holder and would like a page revised or removed, please open an issue on the dataset page or email the maintainer. --- ## Citation If this dataset helps your research, please cite it alongside HackTricks: ```bibtex @dataset{tandevllc_2025_hacktricks_slimpajama, author = {Gupta, Smridh}, title = {HackTricks SlimPajama Corpus}, year = {2025}, url = {https://huggingface.co/datasets/tandevllc/hacking-tricks} } ``` You should also attribute individual HackTricks pages used (e.g., in an acknowledgments section) to satisfy CC BY‑NC‑SA 4.0. --- ## Maintainer **Smridh Gupta** — [smridh@tandev.us](mailto:smridh@tandev.us)