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fevziegeyurtsevenler/guard-blindspots-tr

published by @fevziegeyurtsevenler

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2026-07-26
Age
2 months ago

Description

guard-blindspots-tr

from datasets import load_dataset

ds = load_dataset("fevziegeyurtsevenler/guard-blindspots-tr")

248 Turkish prompt injections scored through popular open guard models. An English-good guard is not automatically Turkish-good.

Guard

Turkish miss-rate

fmops/distilbert-prompt-injection

0.0%

AltaySec detector

0.8%

protectai/deberta-v3-base-prompt-injection-v2

1.6%

jackhhao/jailbreak-classifier

85.5%

Each row: text, technique, category… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/guard-blindspots-tr.

Tags

task_categories:text-classificationlanguage:trlicense:apache-2.0size_categories:n<1Kformat:jsonmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usprompt-injectionllm-securityturkishguardrailsevaluationai-securityred-teaming

README current version from Hugging Face

license: apache-2.0
language: [tr]
task_categories: [text-classification]
tags: [prompt-injection, llm-security, turkish, guardrails, evaluation, ai-security, red-teaming]
pretty_name: "Guard Blindspots TR"
size_categories: [n<1K]
configs: [{config_name: default, data_files: blindspots_items.jsonl}]

banner

guard-blindspots-tr

from datasets import load_dataset
ds = load_dataset("fevziegeyurtsevenler/guard-blindspots-tr")

248 Turkish prompt injections scored through popular open guard models. An English-good guard is not automatically Turkish-good.

Guard Turkish miss-rate
fmops/distilbert-prompt-injection 0.0%
AltaySec detector 0.8%
protectai/deberta-v3-base-prompt-injection-v2 1.6%
jackhhao/jailbreak-classifier 85.5%

Each row: text, technique, category, variant (original/casefold/zerowidth-spaced/leet), caught_by_<guard> (1/0), n_guards_missed, missed_by_all. The rows a guard missed are a hard-negative set for improving it.

Full method + the over-refusal catch: github.com/fevziegeyurtsevenler/guard-blindspots-tr

Related: turkish-casefold-evasion · guardrail-arena · AltaySec

Apache-2.0 · by AltaySec.

README history 5 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.

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  2. 2026-07-26Upload banner.png with huggingface_hub5a0388a1.5 KB
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  3. 2026-07-26Upload blindspots_items.jsonl with huggingface_hub7939a811.5 KB
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  4. 2026-07-26Upload README.md with huggingface_hubdc53fd31.5 KB
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  5. 2026-07-26initial commit86965820 B
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Used by abliterated models none yet

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Metadata

License
apache-2.0

Repository

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

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

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

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