Create README.md

README.md

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+---
+license: odc-by
+task_categories:
+- text-generation
+language:
+- en
+pretty_name: Primus-Seed
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/*/*/*
+- config_name: cybersecurity_companies_websites
+  data_files:
+  - split: train
+    path: data/web_crawler_official_dump/cybersecurity_companies_websites/*
+- config_name: cybersecurity_wikis
+  data_files:
+  - split: train
+    path: data/web_crawler_official_dump/cybersecurity_wikis/*
+- config_name: mitre
+  data_files:
+  - split: train
+    path: data/web_crawler_official_dump/mitre/*
+tags:
+- cybersecurity
+- pretraining
+- wikipedia
+- MITRE
+size_categories:
+- 10K<n<100K
+extra_gated_fields:
+  Affiliation: text
+  Country: country
+  I want to use this model for:
+    type: select
+    options: 
+      - Research
+      - Commercial
+      - label: Other
+        value: other
+  Job title:
+    type: select
+    options:
+    - Student
+    - Research graduate
+    - AI researcher
+    - AI developer/engineer
+    - Cybersecurity researcher
+    - Reporter
+    - Other
+  geo: ip_location
+---
+
+
+# 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.