README.md

---
pretty_name: OffSec RedTeam Codes
license: other
language:
- en
size_categories:
- 10M<n<100M
tags:
- code
- security
- penetration-testing
- pentesting
- offensive-security
- red-team
- osint
- bug-bounty
- ctf
- forensics
- reverse-engineering
- malware-analysis
- threat-hunting
- adversary-emulation
- dataset
- jsonl
- github
- cybersecurity
- cyber-security
task_categories:
- text-generation
- fill-mask
- text-retrieval
- text-ranking
- feature-extraction
- sentence-similarity
- question-answering
- document-question-answering
- summarization
- text-classification
configs:
- config_name: adversary-emulation
  data_files:
  - split: train
    path: adversary-emulation/train-*
- config_name: adversary-simulation
  data_files:
  - split: train
    path: adversary-simulation/train-*
- config_name: binary-exploitation
  data_files:
  - split: train
    path: binary-exploitation/train-*
- config_name: bug-bounty
  data_files:
  - split: train
    path: bug-bounty/train-*
- config_name: bugbounty
  data_files:
  - split: train
    path: bugbounty/train-*
- config_name: c2
  data_files:
  - split: train
    path: c2/train-*
- config_name: command-and-control
  data_files:
  - split: train
    path: command-and-control/train-*
- config_name: ctf
  data_files:
  - split: train
    path: ctf/train-*
- config_name: ethical-hacking
  data_files:
  - split: train
    path: ethical-hacking/train-*
- config_name: exploit
  data_files:
  - split: train
    path: exploit/train-*
- config_name: exploitation
  data_files:
  - split: train
    path: exploitation/train-*
- config_name: forensics
  data_files:
  - split: train
    path: forensics/train-*
- config_name: lateral-movement
  data_files:
  - split: train
    path: lateral-movement/train-*
- config_name: malware-analysis
  data_files:
  - split: train
    path: malware-analysis/train-*
- config_name: offensive-security
  data_files:
  - split: train
    path: offensive-security/train-*
- config_name: osint
  data_files:
  - split: train
    path: osint/train-*
- config_name: penetration-testing
  data_files:
  - split: train
    path: penetration-testing/train-*
- config_name: pentesting
  data_files:
  - split: train
    path: pentesting/train-*
- config_name: persistence
  data_files:
  - split: train
    path: persistence/train-*
- config_name: post-exploitation
  data_files:
  - split: train
    path: post-exploitation/train-*
- config_name: privilege-escalation
  data_files:
  - split: train
    path: privilege-escalation/train-*
- config_name: pwn
  data_files:
  - split: train
    path: pwn/train-*
- config_name: recon
  data_files:
  - split: train
    path: recon/train-*
- config_name: reconnaissance
  data_files:
  - split: train
    path: reconnaissance/train-*
- config_name: red-team
  data_files:
  - split: train
    path: red-team/train-*
- config_name: redteam
  data_files:
  - split: train
    path: redteam/train-*
- config_name: reverse-engineering
  data_files:
  - split: train
    path: reverse-engineering/train-*
- config_name: security
  data_files:
  - split: train
    path: security/train-*
- config_name: threat-hunting
  data_files:
  - split: train
    path: threat-hunting/train-*
- config_name: webhacking
  data_files:
  - split: train
    path: webhacking/train-*
dataset_info:
- config_name: adversary-emulation
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 69714885
    num_examples: 6686
  download_size: 21753502
  dataset_size: 69714885
- config_name: adversary-simulation
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 3972883
    num_examples: 297
  download_size: 1218234
  dataset_size: 3972883
- config_name: binary-exploitation
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 31168730
    num_examples: 3760
  download_size: 10962879
  dataset_size: 31168730
- config_name: bug-bounty
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 92074181
    num_examples: 14020
  download_size: 29239227
  dataset_size: 92074181
- config_name: bugbounty
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 913466117
    num_examples: 283694
  download_size: 229449923
  dataset_size: 913466117
- config_name: c2
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 79200496
    num_examples: 6075
  download_size: 26367428
  dataset_size: 79200496
- config_name: command-and-control
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
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  - name: branch
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  - name: license
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  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
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    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 20567644
    num_examples: 2864
  download_size: 6138607
  dataset_size: 20567644
- config_name: ctf
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 2483736478
    num_examples: 288417
  download_size: 782529947
  dataset_size: 2483736478
- config_name: ethical-hacking
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
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  - name: lang
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  - name: stargazers
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  - name: topics_matched
    list: string
  - name: size
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  splits:
  - name: train
    num_bytes: 188840514
    num_examples: 20317
  download_size: 65000701
  dataset_size: 188840514
- config_name: exploit
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
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  - name: license
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  - name: lang
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  - name: stargazers
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  - name: topics_matched
    list: string
  - name: size
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  splits:
  - name: train
    num_bytes: 1935718615
    num_examples: 530182
  download_size: 426593667
  dataset_size: 1935718615
- config_name: exploitation
  features:
  - name: content
    dtype: string
  - name: repo_name
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  - name: path
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  - name: topics_matched
    list: string
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  splits:
  - name: train
    num_bytes: 189985279
    num_examples: 25221
  download_size: 66156344
  dataset_size: 189985279
- config_name: forensics
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
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  - name: path
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  splits:
  - name: train
    num_bytes: 522859432
    num_examples: 49299
  download_size: 159641323
  dataset_size: 522859432
- config_name: lateral-movement
  features:
  - name: content
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  - name: repo_name
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  - name: path
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  splits:
  - name: train
    num_bytes: 4977001
    num_examples: 357
  download_size: 3048593
  dataset_size: 4977001
- config_name: malware-analysis
  features:
  - name: content
    dtype: string
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    dtype: string
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  splits:
  - name: train
    num_bytes: 2038409393
    num_examples: 74275
  download_size: 338929688
  dataset_size: 2038409393
- config_name: offensive-security
  features:
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  splits:
  - name: train
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    num_examples: 18641
  download_size: 42515409
  dataset_size: 141214094
- config_name: osint
  features:
  - name: content
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  splits:
  - name: train
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- config_name: penetration-testing
  features:
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  splits:
  - name: train
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  download_size: 202267221
  dataset_size: 650429302
- config_name: pentesting
  features:
  - name: content
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  splits:
  - name: train
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  download_size: 812729521
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- config_name: persistence
  features:
  - name: content
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  splits:
  - name: train
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  download_size: 114396034
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- config_name: post-exploitation
  features:
  - name: content
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  splits:
  - name: train
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  download_size: 22998469
  dataset_size: 72623626
- config_name: privilege-escalation
  features:
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  splits:
  - name: train
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- config_name: pwn
  features:
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  splits:
  - name: train
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- config_name: recon
  features:
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  splits:
  - name: train
    num_bytes: 96680697
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- config_name: reconnaissance
  features:
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  splits:
  - name: train
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- config_name: red-team
  features:
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  splits:
  - name: train
    num_bytes: 430501779
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  download_size: 139717741
  dataset_size: 430501779
- config_name: redteam
  features:
  - name: content
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  splits:
  - name: train
    num_bytes: 427756229
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  download_size: 126638695
  dataset_size: 427756229
- config_name: reverse-engineering
  features:
  - name: content
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  splits:
  - name: train
    num_bytes: 10645596862
    num_examples: 787940
  download_size: 2764044510
  dataset_size: 10645596862
- config_name: security
  features:
  - name: content
    dtype: string
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    dtype: string
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    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 20019687663
    num_examples: 2117990
  download_size: 5260414818
  dataset_size: 20019687663
- config_name: threat-hunting
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 880474233
    num_examples: 52454
  download_size: 193579659
  dataset_size: 880474233
- config_name: webhacking
  features:
  - name: content
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_id
    dtype: int64
  - name: path
    dtype: string
  - name: branch
    dtype: string
  - name: license
    dtype: string
  - name: lang
    dtype: string
  - name: stargazers
    dtype: int64
  - name: pushed_at
    dtype: timestamp[s]
  - name: topics_matched
    list: string
  - name: size
    dtype: int64
  - name: topic
    dtype: string
  splits:
  - name: train
    num_bytes: 33528261
    num_examples: 2144
  download_size: 12228192
  dataset_size: 33528261
---

# OffSec RedTeam Codes

**Token count:** ~30B tokens.

**OffSec RedTeam Codes** is a curated corpus of code (and some auxiliary text) extracted from popular GitHub repositories related to offensive security / red teaming (pentesting, OSINT, C2, privilege escalation, exploitation, forensics, etc.). It is also the largest open-source dataset of red-team and offensive-security code ever compiled.

> ⚠️ **Ethical use only.** This dataset is for research, education, and defensive security testing in lawful environments with proper authorization. Do **not** use it to harm systems, violate terms of service, or break the law.

---

## What’s new (Nov 2025)

* **Parquet per‑topic configs** are now published for fast loading with `datasets.load_dataset(...)`.
* **`raw/` folder** added: original JSON/JSONL/NDJSON sources moved under `raw/` (e.g. `raw/github_topic_code-<topic>.jsonl`).
* All Parquet splits include a constant **`topic`** column.
* Shards are sized at **≈256–512 MB** to balance memory, upload speed, and downstream streaming.

---

## Repository layout

```
/               # root
  README.md     # this card
  raw/          # original source JSON/JSONL/NDJSON (one file per topic)
  <topic>/      # per-topic Parquet config folder produced by HF Datasets
    train-0000X-of-00N.parquet
```

---

## Schema

All examples share the same columns (Parquet + raw JSON):

* **content** *(string)* — full file text (notebook outputs stripped; `execution_count` cleared)
* **repo_name** *(string)* — `owner/name`
* **repo_id** *(int)* — GitHub repo id
* **path** *(string)* — file path in repo
* **branch** *(string)* — default branch at fetch time
* **license** *(string|null)* — SPDX id or GitHub license key
* **lang** *(string)* — approx language/extension
* **stargazers** *(int)* — star snapshot
* **pushed_at** *(string, ISO‑8601)* — last push timestamp
* **topics_matched** *(list[string])* — discovery topics that matched this repo
* **size** *(int)* — character length of `content`
* **topic** *(string)* — added during build, equals the topic/config name

---

## Load the Parquet configs (recommended)

### Single topic

```python
from datasets import load_dataset

# Loads Parquet for the selected topic (config name)
ds = load_dataset(
    "tandevllc/offsec_redteam_codes",
    name="pentesting",    # pick any topic listed above
    split="train",
)
print(len(ds), ds.column_names)
```

### Multiple topics (interleaved)

```python
from datasets import load_dataset, interleave_datasets

names = ["osint", "pentesting", "reverse-engineering"]
parts = [load_dataset("tandevllc/offsec_redteam_codes", name=n, split="train") for n in names]

# Optionally balance by size:
probs = [1/len(parts)]*len(parts)
ds = interleave_datasets(parts, probabilities=probs, seed=42)
```

### Filter by language or license

```python
py = ds.filter(lambda r: r.get("lang") == "py")
permissive = ds.filter(lambda r: (r.get("license") or "").lower() in {"mit","apache-2.0","bsd-3-clause"})
```

---

## Load the **raw** JSON/JSONL sources (optional)

If you prefer the original line-delimited JSON:

```python
from datasets import load_dataset

raw = load_dataset(
    "json",
    data_files="raw/github_topic_code-pentesting.jsonl",
    split="train",
    repo_id="tandevllc/offsec_redteam_codes",
)
```

---

## Content selection and filtering

* **File types:** code-like extensions only (`py`, `pyw`, `pyi`, `js`, `mjs`, `cjs`, `ts`, `tsx`, `jsx`, `java`, `kt`, `kts`, `groovy`, `scala`, `c`, `h`, `cpp`, `cc`, `cxx`, `hpp`, `hh`, `hxx`, `ino`, `rs`, `go`, `rb`, `php`, `phtml`, `cs`, `fs`, `vb`, `swift`, `m`, `mm`, `sh`, `bash`, `zsh`, `ksh`, `fish`, `ps1`, `psd1`, `psm1`, `sql`, `pl`, `pm`, `r`, `jl`, `lua`, `dart`, `zig`, `nim`, `yaml`, `yml`, `toml`, `ini`, `cfg`, `conf`, `env`, `properties`, `gradle`, `cmake`, `make`, `mk`, `mkfile`, `json`, `ipynb`).
* **Excluded paths**: build outputs, vendored folders, caches, VCS dirs, virtualenvs
* **Binaries/archives/media**: filtered by extension + text heuristics
* **Large files**: default cap ≈2 MB (configurable)
* **Minified blobs**: excluded by average line-length heuristics
* **Secrets**: basic regex heuristics (keys, private certs) excluded where detected

---

## Intended uses

* Pretraining / continued pretraining of **code LMs** in the security domain
* **RAG / retrieval** with metadata filters (language, topics, license, stars)
* **Code search** / similarity tasks
* Curriculum sampling by `lang`, `stargazers`, `topic`, or recency (`pushed_at`)

> This dataset is **not** an instruction set for unauthorized intrusion. Use defensively and ethically.

---

## Limitations & caveats

* **Licenses vary per file.** The compilation license does **not** replace upstream licenses.
* **Heuristics** can omit useful files or miss some undesirable ones.
* **Time-varying metadata** (stars, topics, default branch) reflect the crawl moment.

---

## License & Access

**License:** "TanDev Proprietary License — All Rights Reserved"

**Upstream Licenses:** Each record includes `source_repo` and `source_license`. Rights in the original repositories remain with their owners. This compilation license does not limit rights you already have in the upstream sources.

If you are a repository author and would like your content removed, please open an issue or contact the maintainer.

---

## Citation

```bibtex
@dataset{tandevllc_2025_offsec_redteam_codes,
  author = {Gupta, Smridh},
  title  = {OffSec RedTeam Codes},
  year   = {2025},
  url    = {https://huggingface.co/datasets/tandevllc/offsec_redteam_codes}
}
```

---

## Maintainer

**Smridh Gupta** — [smridh@tandev.us](mailto:smridh@tandev.us)