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deadbits/vigil-jailbreak-ada-002

published by @deadbits

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
35.9K
Last 30 days
133
Likes
9
Size
1.3 MB
Created on HF
2023-09-02
Age
3 years ago

Description

Vigil: LLM Jailbreak embeddings

Homepage: 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 text-embedding-ada-002 embeddings for all "jailbreak" prompts used by Vigil.

You can use the parquet2vdb.py utility to load the embeddings in the Vigil chromadb instance, or use them in your… See the full description on the dataset page: https://huggingface.co/datasets/deadbits/vigil-jailbreak-ada-002.

Tags

size_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:usembeddingstextsecurity

README current version from Hugging Face


tags:

  • embeddings
  • text
  • security
    pretty_name: 'Vigil: LLM Jailbreak embeddings'

Vigil: LLM Jailbreak embeddings

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 text-embedding-ada-002 embeddings for all "jailbreak" prompts 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": "text-embedding-ada-002"
    }
  }
]

Jailbreak prompts sourced from: https://github.com/laiyer-ai/llm-guard/blob/399cb2eea70afc78482db226253ddd1d85f296e3/llm_guard/resources/jailbreak.json

README history 10 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. 2023-09-09Update README.md9e429421 KB
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  2. 2023-09-09Upload embeddings.parquet578eb891 KB
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  3. 2023-09-08Add reference9c78f5f1 KB
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  4. 2023-09-04Update README.mde1ffa4b902 B
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  5. 2023-09-04Update README.md66ccc94997 B
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  6. 2023-09-03Update README.md49be0b5987 B
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  7. 2023-09-03Upload embeddings.parquetc4ac003669 B
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  8. 2023-09-03Update README.md30b9d7f669 B
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  9. 2023-09-03Create README.md224551391 B
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  10. 2023-09-03initial commitbfba9bd0 B
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Repository

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("deadbits/vigil-jailbreak-ada-002")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="deadbits/vigil-jailbreak-ada-002", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/deadbits/vigil-jailbreak-ada-002
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