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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01shahrukh95 /OWASP-question-answer-datasettextn<1K0 likes216 downloads3y agoHugging Face02starsofchance /OWASP_Dataset_v1.2_BenchmarkTests_AND_Expectedresults-1.2.csvtext0 likes174 downloads11mo agoHugging Face03shahrukh95 /OWASP-and-NVD-question-answer-datasettext10K<n<100K2 likes119 downloads3y agoHugging Face04leeroy-jankins /OWASP-Agentic-AI-Threats OWASP Agentic AI Threats and Mitigations Dataset Summary The OWASP Agentic AI Threats and Mitigations Question Answering Dataset is a synthetic instruction-style question-answering dataset derived from the OWASP Agentic AI - Threats and Mitigations report. The dataset is designed to support training, fine-tuning, retrieval evaluation, and domain-specific question-answering use cases related to agentic AI security, large language model agents, multi-agent… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/OWASP-Agentic-AI-Threats.documentquestion-answeringn<1K4 likes82 downloads3mo agoHugging Face05mahabharat /OWASP Dataset Card for Dataset Name This dataset card aims to be a base template for owasp web attacks. It has been generated using this raw template. Dataset Details Dataset Description This dataset was generated using commonly available payloads, Its generated using intruder of burpsuite and tried against vulnerable site publicly available data. Curated by: vignesh,Nagendran License: GNU Dataset Sources [optional] Repository:… See the full description on the dataset page: https://huggingface.co/datasets/mahabharat/OWASP.tabularn<1K2 likes64 downloads3y agoHugging Face06fevziegeyurtsevenler /owasp-llm-top10-tr ⚠️ Yeni sürüm var / Superseded: Bu veri seti OWASP LLM Top 10 2025 sürümünü kapsar. Güncel 2026 sürümü için: owasp-llm-top10-2026-tr OWASP Top 10 for LLM Applications (2025) — Türkçe from datasets import load_dataset ds = load_dataset("fevziegeyurtsevenler/owasp-llm-top10-tr") The 2025 OWASP LLM Top 10 with Turkish titles, descriptions and mitigations. Schema column meaning id LLMxx:2025 title_en, title_tr title description_tr, mitigation_tr… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/owasp-llm-top10-tr.texttext-classificationn<1K0 likes57 downloads1mo agoHugging Face07fevziegeyurtsevenler /owasp-agentic-skills-top10-tr OWASP Agentic Skills Top 10 (TR) from datasets import load_dataset ds = load_dataset("fevziegeyurtsevenler/owasp-agentic-skills-top10-tr") The emerging OWASP Agentic Skills Top 10 (AST01–AST10) with Turkish titles, descriptions and mitigations — the security framework for AI agent skills. id, title_en, title_tr, description_tr, mitigation_tr. Schema column meaning id ASTxx title_en/title_tr title description_tr, mitigation_tr Turkish detail… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/owasp-agentic-skills-top10-tr.texttext-classificationn<1K0 likes57 downloads2mo agoHugging Face08fevziegeyurtsevenler /owasp-agentic-top10-2026-tr OWASP Top 10 for Agentic Applications 2026 — Turkish edition (machine-readable) Machine-readable Turkish edition of the OWASP Top 10 for Agentic Applications (2026) (ASI01:2026–ASI10:2026), each risk mapped to verified MITRE ATLAS techniques and the OWASP LLM Top 10. OWASP Agentic Uygulamalar icin Ilk 10 (2026) risklerinin makine-okunur Turkce surumu. UNOFFICIAL community Turkish translation. The authoritative text is the English OWASP source: OWASP GenAI Security Project - Top… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/owasp-agentic-top10-2026-tr.texttext-classificationn<1K1 likes36 downloads1mo agoHugging Face09jc-detoxio /OWASP-AITG-APPtext1K<n<10K0 likes32 downloads1y agoHugging Face109mark9 /llm-redteam-owasp-prompts LLM Red-Team Prompts — OWASP LLM Top 10 A curated dataset of 150 adversarial red-team prompts for evaluating the safety and robustness of large language models, mapped to the OWASP LLM Top 10. Every prompt is a real payload extracted directly from the open-source llm-safety-auditor project — none are fabricated. The dataset combines two sources from that project: 50 hand-curated attack templates (attack_library) — 10 per attack category. 100 mutation-engine variants… See the full description on the dataset page: https://huggingface.co/datasets/9mark9/llm-redteam-owasp-prompts.texttext-classificationn<1K1 likes31 downloads3mo agoHugging Face11fevziegeyurtsevenler /owasp-llm-top10-2026-tr OWASP LLM Top 10 2026 — Turkish + machine-readable edition Machine-readable (data/llm-top10-2026.json) + Turkish edition of the OWASP Top 10 for LLM Applications 2026 (released 2026-08-04 by the OWASP GenAI Security Project), with the 2025 → 2026 change map. Authoritative source: https://genai.owasp.org/resource/owasp-genai-llm-top-10-2026/ (CC BY-SA 4.0) Unofficial derivative. English IDs/titles are the official OWASP titles (verified); Turkish is a community translation;… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/owasp-llm-top10-2026-tr.texttext-classificationn<1K0 likes29 downloads1mo agoHugging Face12SwarmandBee /defendable-pain-owasp-llm-top10-v0.1 OWASP LLM Top 10 Pain · 2025 "the prompt injection" — Mr. Defendable A free pain-receipt dataset from the DefendableOS ecosystem. 4 rows · ready to read · all cited or graded · CC-BY-4.0. Part of the 100-pack — 100 free pain-receipt datasets dropped from the Defendable Bakery to the open AI-trust community. Different theme per dataset. Same operator voice across all of them. Tribunal begins before training. No proof, no honey. To the shed. What's in here 4 pain… See the full description on the dataset page: https://huggingface.co/datasets/SwarmandBee/defendable-pain-owasp-llm-top10-v0.1.texttext-classificationn<1K0 likes14 downloads4mo agoHugging Face13bb1nfosec /OWASPgatedtabular1K<n<10K2 likes5 downloads3y agoHugging Face14byeonghee /OWASP_LLM_Top10textn<1K0 likes5 downloads4mo agoHugging Face

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