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Mindgard/evaded-prompt-injection-and-jailbreak-samples

published by @Mindgard

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2025-04-25
Age
1 years ago

Description

This dataset originates from our paper 'Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails'.

The dataset contains a mixture of prompt injections and jailbreak samples modified via character injection and adversarial ML evasion techniques (Techniques can be found within the paper above). For each sample we provide the original unaltered prompt and a modified prompt, the attack_name outlines which attack technique was used to modify the sample.

Acknowledgements… See the full description on the dataset page: https://huggingface.co/datasets/Mindgard/evaded-prompt-injection-and-jailbreak-samples.

Tags

task_categories:text-classificationtask_categories:text-generationlanguage:enlicense:cc-by-nc-4.0size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsarxiv:2504.11168region:us

README current version from Hugging Face


license: cc-by-nc-4.0
task_categories:

  • text-classification
  • text-generation
    language:
  • en
    pretty_name: Evaded Prompt Injection and Jailbreak Samples
    size_categories:
  • 1K<n<10K

This dataset originates from our paper 'Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails'.

The dataset contains a mixture of prompt injections and jailbreak samples modified via character injection and adversarial ML evasion techniques (Techniques can be found within the paper above). For each sample we provide the original unaltered prompt and a modified prompt, the attack_name outlines which attack technique was used to modify the sample.

Acknowledgements

The original prompt injection samples were curated from Safe-Guard-Prompt-Injection.

Additional Notes

  • Emoji Smuggling modified prompts are stored as Base64 to ensure the original encoding is retained.
  • There are mixture of injected unicode characters which may cause some issues when dumped from JSON.

Links

Mindgard

ArXiv Paper

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.

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Used by abliterated models none yet

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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. 2025-04-26[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
cc-by-nc-4.0

Repository

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("Mindgard/evaded-prompt-injection-and-jailbreak-samples")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Mindgard/evaded-prompt-injection-and-jailbreak-samples", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Mindgard/evaded-prompt-injection-and-jailbreak-samples
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