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tegridydev

AI & ML interests

Mechanistic Interpretability (MI) Research & sp00ky code stuff

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reacted to their post with ❤️ 6 days ago
Open-MalSec v0.1 – Open-Source Cybersecurity Dataset Evening! 🫡 📂 Just uploaded an early-stage open-source cybersecurity dataset focused on phishing, scams, and malware-related text samples. This is the base version (v0.1)—a few structured sample files. Full dataset builds will come over the next few weeks. 🔗 Dataset link: https://huggingface.co/datasets/tegridydev/open-malsec 🔍 What’s in v0.1? A few structured scam examples (text-based) Covers DeFi, crypto, phishing, and social engineering Initial labelling format for scam classification ⚠️ This is not a full dataset yet (samples are currently available). Just establishing the structure + getting feedback. 📂 Current Schema & Labelling Approach "instruction" → Task prompt (e.g., "Evaluate this message for scams") "input" → Source & message details (e.g., Telegram post, Tweet) "output" → Scam classification & risk indicators 🗂️ Current v0.1 Sample Categories Crypto Scams → Meme token pump & dumps, fake DeFi projects Phishing → Suspicious finance/social media messages Social Engineering → Manipulative messages exploiting trust 🔜 Next Steps - Expanding datasets with more phishing & malware examples - Refining schema & annotation quality - Open to feedback, contributions, and suggestions If this is something you might find useful, bookmark/follow/like the dataset repo <3 💬 Thoughts, feedback, and ideas are always welcome! Drop a comment or DMs are open 🤙
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