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future1213/SDJBench

published by @future1213

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Last 30 days
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Size
121 KB
Created on HF
2026-04-21
Age
6 months ago

Description

Specialized Domain Jailbreak Bench (SDJBench)

Dataset Description

Specialized Domain Jailbreak Bench (SDJBench) contains 100 jailbreak prompts and corresponding attacker intents distributed across 5 specialized domains: Chemistry, Biology, Engineering, Computer Science, and Psychology. This benchmark is designed for evaluating AI safety against domain-specific jailbreak attacks.

Domain Distribution

Chemistry: 20 prompts - Chemical experiments… See the full description on the dataset page: https://huggingface.co/datasets/future1213/SDJBench.

Tags

language:enlicense:cc-by-nc-4.0region:usjailbreak attackLLM security

README current version from Hugging Face


language:

  • en
    tags:
  • jailbreak attack
  • LLM security
    extra_gated_prompt: >-
    This dataset is shared under the CC-BY-NC-4.0 license. You may use and share
    it for non-commercial research, but must provide attribution and share
    adaptations under the same terms.
    extra_gated_fields:
    First Name:
    type: text
    required: true
    Last Name:
    type: text
    required: true
    Country:
    type: country
    required: true
    Affiliation:
    type: text
    required: true
    Job title:
    type: select
    options:
    • Student
    • Researcher Graduate
    • AI researcher
    • AI developer/engineer
    • label: Other
      value: other-role
      required: true
      Why are you requesting access to this dataset?:
      type: text
      required: true
      By clicking Submit, I accept the CC-BY-NC-4.0 license terms and acknowledge that the information I provide will be stored and processed for access management purposes:
      type: checkbox
      required: true
      license: cc-by-nc-4.0

Specialized Domain Jailbreak Bench (SDJBench)

Dataset Description

Specialized Domain Jailbreak Bench (SDJBench) contains 100 jailbreak prompts and corresponding attacker intents distributed across 5 specialized domains: Chemistry, Biology, Engineering, Computer Science, and Psychology. This benchmark is designed for evaluating AI safety against domain-specific jailbreak attacks.

Domain Distribution

  • Chemistry: 20 prompts - Chemical experiments, synthesis, and related topics
  • Biology: 20 prompts - Biological experiments, genetic engineering, and related topics
  • Engineering: 20 prompts - Engineering design, manufacturing, and system vulnerabilities
  • Computer Science: 20 prompts - Programming, hacking techniques, and system intrusion
  • Psychology: 20 prompts - Psychological manipulation and social engineering

Data Structure

Each entry contains:

  • id: Unique identifier (jb_001 to jb_100)
  • jailbreak_prompt: Jailbreak prompt text
  • attacker_intent: Attacker's intended outcome
  • domain: Specialized domain
  • entry_index: Global index (1-100)
  • domain_index: Domain-specific index (1-5)

License

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.
You are free to share and adapt the material for non-commercial purposes, provided you give appropriate credit.
See https://creativecommons.org/licenses/by-nc/4.0/ for details.

Access

This dataset is gated. You must request access via Hugging Face and agree to the following terms:

  • Use for academic research only
  • Not for any illegal, harmful, or malicious activities
  • Not for developing attack tools or circumventing AI safety measures

Version

  • Version: 1.0
  • Release Date: 2025-04-21
  • Total entries: 100
  • Entry index range: 1 to 100
  • Domain index range: 1 to 5

Citation

Citation

If you use this dataset, please cite our paper:

@INPROCEEDINGS{ding2026SDJBench,
  author={Ding, Fan and Liao, Zehui and Li, Qiang},
  booktitle={2026 6th International Conference on Computer Communication and Artificial Intelligence (CCAI)},
  title={Specialized Domain Jailbreak Benchmark: Exposing Severe Jailbreak Vulnerabilities in Large Language Models},
  year={2026},
  pages={945-952},
  doi={10.1109/CCAI69603.2026.11642016}
}

README history 6 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. 2026-04-21initial commit10fb78233 B
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Metadata

License
cc-by-nc-4.0

Repository

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("future1213/SDJBench")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="future1213/SDJBench", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/future1213/SDJBench
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