alucent/mirror-pentesting-explanations
Alignment dataset tracked in the /datasets sub-catalog.
Description
Pentesting Explanations - Adversarial Reasoning & Vulnerability Research
A high-quality supervised fine-tuning dataset for penetration testing expertise, red team tradecraft, and - as the dataset matures - novel vulnerability research and zero-day reasoning. The dataset is structured to teach models how to think like offensive security practitioners, not merely recall labels or technique names.
The long-term goal of this dataset is to train models capable of genuine adversarial… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-pentesting-explanations.
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Used by abliterated models
No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.
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Download the dataset
huggingface-cli login and use one of the snippets below.
Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.
from datasets import load_dataset
ds = load_dataset("alucent/mirror-pentesting-explanations")from huggingface_hub import snapshot_download
snapshot_download(repo_id="alucent/mirror-pentesting-explanations", repo_type="dataset")git clone https://huggingface.co/datasets/alucent/mirror-pentesting-explanations