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--- |
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license: odc-by |
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task_categories: |
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- text-generation |
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language: |
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- en |
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pretty_name: Primus-FineWeb |
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tags: |
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- cybersecurity |
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- pretraining |
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- FineWeb |
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size_categories: |
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- 1M<n<10M |
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extra_gated_fields: |
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Affiliation: text |
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Country: country |
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I want to use this model for: |
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type: select |
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options: |
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- Research |
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- Commercial |
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- label: Other |
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value: other |
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Job title: |
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type: select |
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options: |
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- Student |
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- Research graduate |
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- AI researcher |
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- AI developer/engineer |
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- Cybersecurity researcher |
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- Reporter |
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- Other |
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geo: ip_location |
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library_name: transformers |
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--- |
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> ⭐ Please download the dataset from [here](https://huggingface.co/datasets/trendmicro-ailab/Primus-FineWeb). |
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# PRIMUS: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training |
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## 🤗 Primus-FineWeb |
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The **Primus-FineWeb** dataset is constructed by filtering cybersecurity-related text from FineWeb, a refined version of Common Crawl. We began by leveraging _Primus-Seed_, a high-quality dataset of manually curated cybersecurity text, as positive samples. We then sampled ten times the amount of data from FineWeb as negative samples and trained a **binary cybersecurity classifier** based on TinyBERT. Using this classifier, we assigned each text in FineWeb a score between **0 and 1** and filtered out texts with a score greater than **0.003**, creating the Primus-FineWeb with 15.3 billion tokens. However, after discovering a significant amount of duplicate content, we performed deduplication, reducing the final dataset to **🔥 2.57 billion tokens of cybersecurity corpus**. |
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🚀🚀 For more details, see our paper: |
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[https://arxiv.org/abs/2502.11191](https://arxiv.org/abs/2502.11191) |
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--- |
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## Why was the threshold set at 0.003? |
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We divided the score range (0-1) into several bins and randomly sampled 50 examples from each bin. These samples were then scored by GPT-4o to determine the proportion of text that was "_truly_" cybersecurity-related. We found that if the score was below 0.003, the proportion of cybersecurity text fell below 50%. |
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<img src="https://i.imgur.com/XbqpmbI.png" alt="Threshold Selection" width="60%"> |
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## FineWeb: Cybersecurity Score vs. Token Count |
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<img src="https://i.imgur.com/6twJL1p.png" alt="Cybersecurity Score vs. Token Count" width="65%"> |
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--- |
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## License |
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This dataset is released under the **ODC-By** license. However, you must still comply with the **FineWeb license** and the **Common Crawl Terms of Use**. |
