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PRIMUS: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training

🤗 Primus-Seed

Primus-Seed is a high-quality🚀 cybersecurity text dataset composed of data crawled from reputable sources such as MITRE, Wikipedia, and well-known cybersecurity company websites, as well as CTI manually collected by our threat experts.

Statistics

Category Samples Tokens Avg.
Web Crawl / Official Dump
Cybersecurity Blogs/News 2,946 9,751,002 3,309.9
Cybersecurity Books 6,499 2,910,464 447.8
Cybersecurity Companies Websites 76,919 65,798,561 855.4
Cybersecurity Wikipedia 6,636 9,567,196 1,441.7
MITRE 3,432 2,435,118 709.5
Expert Curation
Campaigns 136 37,106 272.8
Intrusion Sets 343 60,524 176.5
Malware 7,301 1,362,681 186.6
Reports 11,317 934,954 82.6
Threat Actors 27 2,264 83.9
Tools 238 19,926 83.7
Vulnerabilities 559,054 98,006,720 175.3
Total 674,848 190,886,516 282.9

❗❗Currently, we have only released Cybersecurity Companies Websites, Cybersecurity Wikipedia, and MITRE. Other categories are under review to ensure compliance and verify whether redistribution falls under "fair use."

How Did We Collect Cybersecurity Wikipedia?

Wikipedia does not provide a predefined cybersecurity subset, so we perform a custom filtering process. Each Wikipedia article is associated with one or more category tags, which can be further expanded into subcategory tags. Starting from the root category "Computer Security", we recursively traverse its subcategories, using GPT-4o to determine whether a category is cybersecurity-related. This process yields 375 relevant categories, from which we extract corresponding Wikipedia articles.

Prompt:

[System]
You are a helpful assistant.
[User]
Help me identify and mark the categories related to "cybersecurity", "information
security", "data protection", "cryptography", "hacker activity", "cyber attack",
"cybercrime" from a list of categories I have.
For each category, provide a reason for marking it as 'Y' (Yes) or 'N' (No) in relation to the
specified topics. Finally, output the results in JSON format with the fields: category,
reason, security.
{{category-list}

License

This dataset is released under the ODC-By license.

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