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ata8e/SHIELDING

published by @ata8e

Alignment dataset tracked in the /datasets sub-catalog.

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Size
74.3 MB
Created on HF
2026-06-28
Age
3 months ago

Description

This dataset was generated as a part of our paper "Towards Secure Prompt Processing: A Unified Framework to Detect, Sanitize, and Prevent Adversarial Prompts via Dual-optimized Threshold-aware Learning".

SHIELDING dataset was generated by combining and filtering the following datasets:

Prompt Injection Hackaprompt GPT35, https://huggingface.co/datasets/imoxto/prompt_injection_hackaprompt_gpt35.

JailBreak V-28k, https://huggingface.co/datasets/JailbreakV-28K/JailBreakV-28k.

Open Platypus… See the full description on the dataset page: https://huggingface.co/datasets/ata8e/SHIELDING.

Tags

task_categories:text-classificationlanguage:enlicense:cc-by-4.0size_categories:10K<n<100Kformat:csvmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usjailbreaking,injection

README current version from Hugging Face


license: cc-by-4.0
task_categories:

  • text-classification
    language:
  • en
    tags:
  • jailbreaking,
  • injection
    size_categories:
  • 10K<n<100K

This dataset was generated as a part of our paper "Towards Secure Prompt Processing: A Unified Framework to Detect, Sanitize, and Prevent Adversarial Prompts via Dual-optimized Threshold-aware Learning".
SHIELDING dataset was generated by combining and filtering the following datasets:

  1. Prompt Injection Hackaprompt GPT35, https://huggingface.co/datasets/imoxto/prompt_injection_hackaprompt_gpt35.
  2. JailBreak V-28k, https://huggingface.co/datasets/JailbreakV-28K/JailBreakV-28k.
  3. Open Platypus, https://huggingface.co/datasets/garage-bAInd/Open-Platypus.
  4. JBB Behaviors, https://huggingface.co/datasets/JailbreakBench/JBB-Behaviors.
  5. Jailbreak Classification, https://huggingface.co/datasets/jackhhao/jailbreak-classification.
  6. Jailbreak Hub, https://huggingface.co/datasets/walledai/JailbreakHub.

README history 19 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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Metadata

License
cc-by-4.0

Repository

Download the dataset

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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("ata8e/SHIELDING")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ata8e/SHIELDING", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ata8e/SHIELDING
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