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lenML/advbench_behaviors_m5

published by @lenML

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2024-11-13
Age
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Description

About advbench_behaviors_m5

此数据集为 advbench_behaviors.csv 文件的多语言翻译版本。一个常见的任务是用于 abliterator 脚本。

Dataset Card for AdvBench

Paper: Universal and Transferable Adversarial Attacks on Aligned Language Models

Data: AdvBench Dataset

About

AdvBench is a set of 500 harmful behaviors formulated as instructions. These behaviors

range over the same themes as the harmful strings setting, but the adversary’s goal

is instead to find a single attack string that… See the full description on the dataset page: https://huggingface.co/datasets/lenML/advbench_behaviors_m5.

Tags

language:enlanguage:zhlanguage:kolanguage:jplanguage:rulicense:mitsize_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsarxiv:2307.15043region:us

README current version from Hugging Face


license: mit
task_categories:

  • text2text-generation
    language:
  • en
  • zh
  • ko
  • jp
  • ru

About advbench_behaviors_m5

此数据集为 advbench_behaviors.csv 文件的多语言翻译版本。一个常见的任务是用于 abliterator 脚本。


Dataset Card for AdvBench

Paper: Universal and Transferable Adversarial Attacks on Aligned Language Models

Data: AdvBench Dataset

About

AdvBench is a set of 500 harmful behaviors formulated as instructions. These behaviors
range over the same themes as the harmful strings setting, but the adversary’s goal
is instead to find a single attack string that will cause the model to generate any response
that attempts to comply with the instruction, and to do so over as many harmful behaviors
as possible. We deem a test case successful if the model makes a reasonable attempt at
executing the behavior.

(Note: We omit harmful_strings.csv file of the dataset.)

License

Citation

When using this dataset, please cite the paper:

@misc{zou2023universal,
      title={Universal and Transferable Adversarial Attacks on Aligned Language Models}, 
      author={Andy Zou and Zifan Wang and J. Zico Kolter and Matt Fredrikson},
      year={2023},
      eprint={2307.15043},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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

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 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.

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Metadata

License
mit

Repository

Download the dataset

0

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("lenML/advbench_behaviors_m5")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="lenML/advbench_behaviors_m5", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/lenML/advbench_behaviors_m5
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