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Validating defenses to meet emerging cybersecurity challenges requires continuous updates to the datasets used for testing. In this paper, we introduce the Firewall Attack Detection Extractions (FADE) dataset designed to address gaps in available collections by generating a diverse and balanced corpus of over 10 million categorized attacks derived from open-source rule sets and public penetration testing repositories.