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ArkhAngelLifeJiggy/vigil-instruction-bypass-all-MiniLM-L6-v2

published by @ArkhAngelLifeJiggy

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Size
111.4 MB
Created on HF
2026-09-30
Age
11 days ago

Description

Vigil: LLM Instruction Bypass all-MiniLM-L6-v2

Repo: github.com/deadbits/vigil-llm

Vigil is a Python framework and REST API for assessing Large Language Model (LLM) prompts against a set of scanners to detect prompt injections, jailbreaks, and other potentially risky inputs.

This repository contains all-MiniLM-L6-v2 embeddings for all Instruction Bypass style prompts ("Ignore instructions ...") used by Vigil.

You can use the parquet2vdb.py utility to load the embeddings in the… See the full description on the dataset page: https://huggingface.co/datasets/ArkhAngelLifeJiggy/vigil-instruction-bypass-all-MiniLM-L6-v2.

Tags

size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usembeddingstextsecurity

README current version from Hugging Face


tags:

  • embeddings
  • text
  • security
    pretty_name: 'Vigil: LLM Instruction Bypass all-MiniLM-L6-v2 '

Vigil: LLM Instruction Bypass all-MiniLM-L6-v2

Vigil is a Python framework and REST API for assessing Large Language Model (LLM) prompts against a set of scanners to detect prompt injections, jailbreaks, and other potentially risky inputs.

This repository contains all-MiniLM-L6-v2 embeddings for all Instruction Bypass style prompts ("Ignore instructions ...") used by Vigil.

You can use the parquet2vdb.py utility to load the embeddings in the Vigil chromadb instance, or use them in your own application.

Format

[
  {
    "text": str,
    "embedding": [],
    "model": "all-MiniLM-L6-v2"
  }
]

Instruction bypass prompts generated with: https://gist.github.com/deadbits/e93a90aa36c9aa7b5ce1179597a6fe3d#file-generate-phrases-py

README history 1 revision

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. 2026-09-30Duplicate from deadbits/vigil-instruction-bypass-all-MiniLM-L6-v2785aa1a1.1 KB
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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("ArkhAngelLifeJiggy/vigil-instruction-bypass-all-MiniLM-L6-v2")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ArkhAngelLifeJiggy/vigil-instruction-bypass-all-MiniLM-L6-v2", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ArkhAngelLifeJiggy/vigil-instruction-bypass-all-MiniLM-L6-v2
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