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Bouquets/DeepSeek-V3-Distill-Cybersecurity-en

published by @Bouquets

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.6K
Last 30 days
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Size
1.9 MB
Created on HF
2025-04-08
Age
1 years ago

Description

🔐 CyberSecPentest-DS: Deepseek-V3 Distilled Dataset

📂 Dataset Overview:This is a high-quality distilled dataset 🧪, specialized in the cybersecurity penetration testing domain, generated using Deepseek-V3 🚀. It provides curated knowledge for red-teaming, vulnerability assessment, and ethical hacking research.

💡 Key Features:

🛡️ Focus: Penetration testing, exploit development, and security assessments.

🧠 Source: Knowledge distilled from Deepseek-V3 for accuracy &… See the full description on the dataset page: https://huggingface.co/datasets/Bouquets/DeepSeek-V3-Distill-Cybersecurity-en.

Tags

language:enlicense:apache-2.0size_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

license: apache-2.0
language:

  • en

🔐 CyberSecPentest-DS: Deepseek-V3 Distilled Dataset

📂 Dataset Overview:
This is a high-quality distilled dataset 🧪, specialized in the cybersecurity penetration testing domain, generated using Deepseek-V3 🚀. It provides curated knowledge for red-teaming, vulnerability assessment, and ethical hacking research.

💡 Key Features:

  • 🛡️ Focus: Penetration testing, exploit development, and security assessments.
  • 🧠 Source: Knowledge distilled from Deepseek-V3 for accuracy & relevance.
  • 🔍 Use Cases: AI security tools, pentest training, threat modeling.

⚡ Perfect for security researchers, AI trainers, and ethical hackers!

README history 3 revisions

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.

  1. 2025-05-14Create README.md570319a752 B
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  2. 2025-05-14Upload alpaca-2025-05-14.jsonl4cd89fa0 B
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  3. 2025-04-08initial commitc7d423f0 B
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Used by abliterated models none yet

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Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2025-05-15[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

Repository

FILE .gitattributes FILE alpaca-2025-05-14.jsonl FILE README.md

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

Download the dataset

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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("Bouquets/DeepSeek-V3-Distill-Cybersecurity-en")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Bouquets/DeepSeek-V3-Distill-Cybersecurity-en", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Bouquets/DeepSeek-V3-Distill-Cybersecurity-en
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