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nuhmanpk/prompt-sentinel

published by @nuhmanpk

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
65
Last 30 days
65
Likes
2
Size
76.6 MB
Created on HF
2026-09-27
Age
24 days ago

Description

PromptSentinel 🛡️

A combined, cleaned and deduplicated dataset for training lightweight detectors of jailbreak and

prompt-injection attempts against LLMs, built from 13 public datasets. All credit goes to their authors (see below).

⚠️ Contains real adversarial prompts, some of which include harmful requests. Intended for building

defensive classifiers, guardrails and red-team evaluation. Access is gated. Model responses from source

datasets were deliberately not included.… See the full description on the dataset page: https://huggingface.co/datasets/nuhmanpk/prompt-sentinel.

Tags

task_categories:text-classificationlanguage:enlanguage:delicense:othersize_categories:100K<n<1Mformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantarxiv:2308.03825arxiv:2310.17389arxiv:2402.11755arxiv:2501.07927arxiv:2304.07327arxiv:2410.22770arxiv:2402.13064region:usjailbreakprompt-injectionllm-securityguardrailsred-teamingsafety

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-09-28[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
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Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("nuhmanpk/prompt-sentinel")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="nuhmanpk/prompt-sentinel", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/nuhmanpk/prompt-sentinel
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Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

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