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fevziegeyurtsevenler/turkish-prompt-injection

published by @fevziegeyurtsevenler

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
280
Last 30 days
93
Likes
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Size
142 KB
Created on HF
2026-07-26
Age
2 months ago

Description

Turkish Prompt Injection

from datasets import load_dataset

ds = load_dataset("fevziegeyurtsevenler/turkish-prompt-injection")

107 Türkçe prompt-injection ve jailbreak kalıbı, OWASP/ATLAS eşlemeli ve savunmasıyla. Türkçe morfolojik bypass, çeviri-bahanesi ve code-switch dahil. Savunma amaçlı.

Sütunlar: category, language, technique, payload, target_behavior, owasp, atlas, defense, severity.

Schema

sütun

anlam

technique

teknik

payload

örnek

defense… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/turkish-prompt-injection.

Tags

task_categories:text-classificationlanguage:trlicense:cc-by-4.0size_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usprompt-injectionjailbreakturkishllm-securityai-securityred-teamingkvkksecurity

README current version from Hugging Face

license: cc-by-4.0
language: [tr]
task_categories: [text-classification]
tags: [prompt-injection, jailbreak, turkish, llm-security, ai-security, red-teaming, kvkk, security]
pretty_name: "Turkish Prompt Injection"
size_categories: [n<1K]
configs: [{config_name: default, data_files: prompt_injection_tr.jsonl}]

banner

Turkish Prompt Injection

from datasets import load_dataset
ds = load_dataset("fevziegeyurtsevenler/turkish-prompt-injection")

107 Türkçe prompt-injection ve jailbreak kalıbı, OWASP/ATLAS eşlemeli ve savunmasıyla. Türkçe morfolojik bypass, çeviri-bahanesi ve code-switch dahil. Savunma amaçlı.

Sütunlar: category, language, technique, payload, target_behavior, owasp, atlas, defense, severity.

Schema

sütun anlam
technique teknik
payload örnek
defense savunma

Related AltaySec resources

Citation

@misc{yurtsevenler2026turkishpromptinjection,
  title  = {Turkish Prompt Injection Dataset},
  author = {Yurtsevenler, Fevzi Ege},
  year   = {2026},
  publisher = {AltaySec / Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/fevziegeyurtsevenler/turkish-prompt-injection}}
}

⚠️ Defensive / authorized-use only. Multilingual-first LLM/agent security research by AltaySec.

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-07-26Upload prompt_injection_tr.jsonl with huggingface_hubfae488a2 KB
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  2. 2026-07-26Upload README.md with huggingface_hub92db84f2 KB
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  3. 2026-07-26Upload banner.png with huggingface_hub7f14c5f0 B
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  4. 2026-07-26initial commit8624d560 B
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Metadata

License
cc-by-4.0

Repository

FILE .gitattributes FILE banner.png FILE prompt_injection_tr.jsonl FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("fevziegeyurtsevenler/turkish-prompt-injection")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="fevziegeyurtsevenler/turkish-prompt-injection", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/fevziegeyurtsevenler/turkish-prompt-injection
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