Dataset · Hugging Face

AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.1

Name: Cybersecurity-Dataset-Fenrir-v2.1
Creator: AlicanKiraz0
License: apache-2.0
Keywords: task_categories:text-generation, language:en, license:apache-2.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, cybersecurity, defensive-security, instruction-tuning

Cybersecurity Defense Instruction-Tuning Dataset (v2.1) Created by Alican Kiraz TL;DR A ready-to-train dataset of 99,870 high-quality system / user / assistant triples for defensive, alignment-safe cybersecurity SFT training. Apache-2.0 licensed and production-ready. Scope: OWASP Top 10, MITRE ATT&CK, NIST CSF, CIS Controls, ASD Essential 8, modern authentication (OAuth 2 / OIDC / SAML), SSL / TLS, Cloud & DevSecOps, Cryptography, and AI Security.… See the full description on the dataset page: https://huggingface.co/datasets/AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.1.

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Author / organization	AlicanKiraz0
License (as declared)	apache-2.0
Downloads	3.1K (as reported by Hugging Face)
Likes	160
Created	6 October 2025
Last updated at source	22 April 2026

cybersecuritydefensive-securityinstruction-tuning

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Connected in the knowledge graph

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deer-sec/StagAI-CyberSecurity-26B-A4B-v2-VLM-MLX-Q8Model · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-VLM-GGUF-IQ4_NLModel · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-VLM-MLX-BF16Model · used to train
iselabvn/Tini-Cybersec-8B-A1BModel · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-BF16-MLXModel · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-Q4-MLXModel · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-Q4_K_M-GGUFModel · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-Q8_0-GGUFModel · used to train
basilmh25/qwen_fine-tune_CybersecurityModel · used to train
deer-sec/StagAI-CyberSecurity-26B-A4B-v2-Q8-MLXModel · used to train

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16 Oct 2026 Description: Cybersecurity Defense Instruction-Tuning Dataset (v2.1) Created by Alican Kiraz TL;DR A ready-to-train dataset of 99,870 high-quality system / user / assistant triples for defensive, alignment-safe cybersecurity SFT training. Apache-2.0 lic → Cybersecurity Defense Instruction-Tuning Dataset (v2.1) Created by Alican Kiraz TL;DR A ready-to-train dataset of 99,870 high-quality system / user / assistant triples for defensive, alignment-safe cybersecurity SFT training. Apache-2.0 lic

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