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ata8e/SHIELDING_LLaMA-3_Response

published by @ata8e

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
124
Last 30 days
25
Likes
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Size
26.2 MB
Created on HF
2026-06-28
Age
3 months ago

Description

This dataset is a part of our SHIELDING dataset that progressed to LLaMA-3 and checked each response humanly, 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".

Tags

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

README current version from Hugging Face

README history 7 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.

  1. 2026-10-14Update README.md7e78f34512 B
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  2. 2026-06-29Upload SHIELDING Sanitized Response Dataset.csv3864905447 B
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  3. 2026-06-29Delete SHIELDING Sanitized Response Dataset.csve1f9559447 B
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  4. 2026-06-28Upload SHIELDING Sanitized Response Dataset.csv65454ff447 B
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  5. 2026-06-28Update README.md415fb3f447 B
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  6. 2026-06-28Upload SHIELDING Sanitized Response Dataset.csv71961a227 B
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  7. 2026-06-28initial commitec78a3d27 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. 2026-06-29[bot] Conversion to Parquetopen1 💬#1
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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_LLaMA-3_Response")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ata8e/SHIELDING_LLaMA-3_Response", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ata8e/SHIELDING_LLaMA-3_Response
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