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walledai/JailbreakHub

published by @walledai

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
24.7K
Last 30 days
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Likes
40
Size
13.6 MB
Created on HF
2024-07-02
Age
2 years ago

Description

In-The-Wild Jailbreak Prompts on LLMs

Paper: ``Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Data: Dataset

Data

Prompts

Overall, authors collect 15,140 prompts from four platforms (Reddit, Discord, websites, and open-source datasets) during Dec 2022 to Dec 2023. Among these prompts, they identify 1,405 jailbreak prompts. To the best of our knowledge, this dataset serves as the largest… See the full description on the dataset page: https://huggingface.co/datasets/walledai/JailbreakHub.

Tags

language:enlicense:mitsize_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsarxiv:2308.03825region:us

README current version from Hugging Face


language:

  • en
    dataset_info:
    features:
    • name: prompt
      dtype: string
    • name: platform
      dtype: string
    • name: source
      dtype: string
    • name: jailbreak
      dtype: bool
      splits:
    • name: train
      num_bytes: 27480306
      num_examples: 15140
      download_size: 14209695
      dataset_size: 27480306
      configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      license: mit

In-The-Wild Jailbreak Prompts on LLMs

Paper: [``Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models](https://arxiv.org/pdf/2308.03825)

Data: Dataset

Data

Prompts

Overall, authors collect 15,140 prompts from four platforms (Reddit, Discord, websites, and open-source datasets) during Dec 2022 to Dec 2023. Among these prompts, they identify 1,405 jailbreak prompts. To the best of our knowledge, this dataset serves as the largest collection of in-the-wild jailbreak prompts.

The data are provided here.

Statistics of our data source. (Adv) UA refers to (adversarial) user accounts.

Platform Source # Posts # UA # Adv UA # Prompts # Jailbreaks Prompt Time Range
Reddit r/ChatGPT 163549 147 147 176 176 2023.02-2023.11
Reddit r/ChatGPTPromptGenius 3536 305 21 654 24 2022.12-2023.11
Reddit r/ChatGPTJailbreak 1602 183 183 225 225 2023.02-2023.11
Discord ChatGPT 609 259 106 544 214 2023.02-2023.12
Discord ChatGPT Prompt Engineering 321 96 37 278 67 2022.12-2023.12
Discord Spreadsheet Warriors 71 3 3 61 61 2022.12-2023.09
Discord AI Prompt Sharing 25 19 13 24 17 2023.03-2023.04
Discord LLM Promptwriting 184 64 41 167 78 2023.03-2023.12
Discord BreakGPT 36 10 10 32 32 2023.04-2023.09
Website AIPRM - 2777 23 3930 25 2023.01-2023.06
Website FlowGPT - 3505 254 8754 405 2022.12-2023.12
Website JailbreakChat - - - 79 79 2023.02-2023.05
Dataset AwesomeChatGPTPrompts - - - 166 2 -
Dataset OCR-Prompts - - - 50 0 -
Total 169,933 7,308 803 15,140 1,405 2022.12-2023.12

License

jailbreak_llms is licensed under the terms of the MIT license. See LICENSE for more details.

Citation

If you find this useful in your research, please consider citing:

@inproceedings{SCBSZ24,
      author = {Xinyue Shen and Zeyuan Chen and Michael Backes and Yun Shen and Yang Zhang},
      title = {{``Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models}},
      booktitle = {{ACM SIGSAC Conference on Computer and Communications Security (CCS)}},
      publisher = {ACM},
      year = {2024}
}

README history 8 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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  6. 2024-07-13Librarian Bot: Add language metadata for dataset (#1)43c9dc3403 B
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  7. 2024-07-02Upload dataset3a8670e388 B
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  8. 2024-07-02initial commit171abe80 B
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Used by abliterated models 1 in catalog

Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.

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.

  1. 2024-07-11PRLibrarian Bot: Add language metadata for datasetmerged1 💬#1
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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("walledai/JailbreakHub")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="walledai/JailbreakHub", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/walledai/JailbreakHub
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Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

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