trendmicro-ailab/Primus-FineWeb

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

🤗 Primus-FineWeb

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.

🚀🚀 For more details, see our paper:
https://arxiv.org/abs/2502.11191

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Why was the threshold set at 0.003?

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%.

FineWeb: Cybersecurity Score vs. Token Count

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License

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.