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CaiZhiTech/Evaluation-Dataset-of-AI-Agent-Security-Guardrails

published by @CaiZhiTech

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
449
Last 30 days
116
Likes
1
Size
824 KB
Created on HF
2026-04-28
Age
5 months ago

Description

DKnownAI Agent Security Evaluation Dataset

Data Fields

Field

Type

Description

text

string

The adversarial input (prompt) to be evaluated by a security guardrail

action

string

Human-annotated label: blocked or allowed

Citation

@misc{li2026comparativeevaluationaiagent,

title={A Comparative Evaluation of AI Agent Security Guardrails},

author={Qi Li and Jiu Li and Pingtao Wei and Jianjun Xu and Xueyi Wei and Jiwei Shi and… See the full description on the dataset page: https://huggingface.co/datasets/CaiZhiTech/Evaluation-Dataset-of-AI-Agent-Security-Guardrails.

Tags

task_categories:text-classificationlanguage:enlicense:apache-2.0size_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantarxiv:2604.24826region:ussecurityprompt-injectionjailbreakagent-safetyguardrail-evaluation

README current version from Hugging Face


license: apache-2.0
task_categories:

  • text-classification
    language:
  • en
    tags:
  • security
  • prompt-injection
  • jailbreak
  • agent-safety
  • guardrail-evaluation
    size_categories:
  • 1K<n<10K

DKnownAI Agent Security Evaluation Dataset

Data Fields

Field Type Description
text string The adversarial input (prompt) to be evaluated by a security guardrail
action string Human-annotated label: blocked or allowed

Citation

@misc{li2026comparativeevaluationaiagent,
      title={A Comparative Evaluation of AI Agent Security Guardrails}, 
      author={Qi Li and Jiu Li and Pingtao Wei and Jianjun Xu and Xueyi Wei and Jiwei Shi and Xuan Zhang and Yanhui Yang and Xiaodong Hui and Peng Xu and Lingquan Zhou},
      year={2026},
      eprint={2604.24826},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2604.24826}, 
}

License

Apache 2.0

README history 5 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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  5. 2026-04-28initial commit67312c731 B
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Used by abliterated models none yet

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Community discussions 1 thread · 1 open · 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. 2026-04-29[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

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("CaiZhiTech/Evaluation-Dataset-of-AI-Agent-Security-Guardrails")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="CaiZhiTech/Evaluation-Dataset-of-AI-Agent-Security-Guardrails", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/CaiZhiTech/Evaluation-Dataset-of-AI-Agent-Security-Guardrails
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