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MatanBT/gcg-evaluated-data

published by @MatanBT

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Last 30 days
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Size
665.8 MB
Created on HF
2025-06-15
Age
1 years ago

Description

GCG suffixes crafted on Gemma-2, Qwen-2.5 and Llama-3.1, their generated response when appended to harmful instructions (from AdvBench, StrongReject's custom), their evaluation and charecterization.

This dataset was created and utilized in the paper: Universal Jailbreak Suffixes Are Strong Attention Hijackers (paper, code).

WARNING: this dataset contains harmful content, and is intended for research purposes only.

Each row in the dataset describes:

Harmful instruction info:… See the full description on the dataset page: https://huggingface.co/datasets/MatanBT/gcg-evaluated-data.

Tags

license:mitsize_categories:1M<n<10Mformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsarxiv:2506.12880region:us

README current version from Hugging Face


license: mit

configs:

  • config_name: default
    data_files:
    • split: gemma2
      path: "gemma-2-2b-it_eval_data.parquet"
    • split: qwen2.5
      path: "qwen2.5-1.5b-instruct_eval_data.parquet"
    • split: llama3.1
      path: "llama-3.1-8b-instruct_eval_data.parquet"

GCG suffixes crafted on Gemma-2, Qwen-2.5 and Llama-3.1, their generated response when appended to harmful instructions (from AdvBench, StrongReject's custom), their evaluation and charecterization.

This dataset was created and utilized in the paper: Universal Jailbreak Suffixes Are Strong Attention Hijackers (paper, code).

WARNING: this dataset contains harmful content, and is intended for research purposes only.

Each row in the dataset describes:

  • Harmful instruction info:
    • message_id: instruction's unique identifier.
    • message_str: insturction's string.
    • message_source: instruction's source dataset (from AdvBench, or StrongReject's custom subset).
  • Advesarial suffix info:
    • suffix_id: suffix's unique identifier.
    • suffix_str: suffix's string (mostly ~20 tokens long).
    • message_suffixed: message concatenated with the suffix.
  • Response & its evaluation:
    • response: response's string.
    • strongreject_finetuned: jailbreak score by StrongReject's grader (the higher the more harmful).
    • response_first_tok: response's first token.
    • response_category: response's category (according to its success and characterization of the response's prefix).
  • Response under prefilling & its evaluation:
    • prefilled__response: response's string (under prefilling).
    • prefilled__strongreject_finetuned: jailbreak score (under prefilling).
  • Suffix-specific evaluation:
    • univ_score: universality score of the suffix (i.e., its average jailbreak score across all the instructions).
    • suffix_rank: suffix's rank according to its universality score.
  • Suffix's optimization info:
    • suffix_objective: objective used for optimizing the suffix (e.g., GCG's objective is affirm).
    • suffix_optimizer: optimizer used (e.g., gcg).
    • suffix_obj_indices: the message ids used for optimizing the suffix.
    • suffix_category: suffix category (intrdm are taken from an intermediate step of the optimziation, while reg are the final suffixes; init means a suffix used for initalization).
    • is_mult_attack: whether the suffix was optimized on multiple instructions.
    • is_trained_message: whether the suffix was optimized on the paired instruction.

Citation

If you find this work, or any of the research artifacts, useful, please cite our paper as:

@article{bentov2025universaljailbreaksuffixesstrong,
      title={{U}niversal {J}ailbreak {S}uffixes {A}re {S}trong {A}ttention {H}ijackers}, 
      author={Matan Ben-Tov and Mor Geva and Mahmood Sharif},
      year={2025},
      eprint={2506.12880},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2506.12880}, 
}

README history 20 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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  20. 2025-06-15initial commit43fe9630 B
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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 2 threads · 2 open · 2 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. 2025-06-19PRAdd task_categories metadataopen1 💬#2
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  2. 2025-06-16[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

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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("MatanBT/gcg-evaluated-data")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="MatanBT/gcg-evaluated-data", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/MatanBT/gcg-evaluated-data
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