Rootkit7/pentest-redteam-steering

Name: Rootkit7/pentest-redteam-steering
Creator: Rootkit7
Published: 2026-04-13T05:39:52
License: unlicense

published by @Rootkit7

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

209

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Size

1.3 MB

Created on HF

2026-04-13

Age

6 months ago

Description

These prompts are all reject by Llama 3 for being "harmful" related to security and pentesting.

They can be used for steering models using: https://github.com/FailSpy/abliterator

Used in code with:

def custom_get_harmful_instructions() -> Tuple[List[str], List[str]]:

hf_path = 'cowWhySo/pentest-redteam-steering' # Replace with the path to your desired dataset

dataset = load_dataset(hf_path, encoding='utf-8') # Specify the encoding

# Print the keys of the first example in the… See the full description on the dataset page: https://huggingface.co/datasets/Rootkit7/pentest-redteam-steering.

README current version from Hugging Face

license: unlicense

These prompts are all reject by Llama 3 for being "harmful" related to security and pentesting.

They can be used for steering models using: https://github.com/FailSpy/abliterator

Used in code with:

def custom_get_harmful_instructions() -> Tuple[List[str], List[str]]:
    hf_path = 'cowWhySo/pentest-redteam-steering'  # Replace with the path to your desired dataset
    dataset = load_dataset(hf_path, encoding='utf-8')  # Specify the encoding
    # Print the keys of the first example in the 'train' split
    print(dataset['train'][0].keys())
    instructions = [i['goal'] for i in dataset['train']]  # Use the 'goal' key

    train, test = train_test_split(instructions, test_size=0.2, random_state=42)
    return train, test

_, harmful_inst_test = custom_get_harmful_instructions()

# Save the harmful instructions to a file
with open("harmful_instructions.json", "w") as f:
    json.dump(harmful_inst_test[:10], f)

Used to generate models:

https://huggingface.co/cowWhySo/Llama-3-8B-Instruct-Cybersecurity

https://huggingface.co/cowWhySo/Phi-3-mini-4k-instruct-Cybersecurity

README history 1 revision

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

2026-04-13Duplicate from cowWhySo/pentest-redteam-steering09861c11.1 KB
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Selective abliteration limited to a band of layers.

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Metadata

License

unlicense

Repository

FILE .gitattributes FILE pentesting-redteam-steering.csv FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)

from datasets import load_dataset
ds = load_dataset("Rootkit7/pentest-redteam-steering")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Rootkit7/pentest-redteam-steering", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Rootkit7/pentest-redteam-steering

Browse repository on Hugging Face ->