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fahadhafeezofficial/cissp-llmbench

published by @fahadhafeezofficial

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Last 30 days
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541 KB
Created on HF
2026-06-20
Age
4 months ago

Description

CISSP-LLMBench

Tags

task_categories:text-generationtask_categories:text-classificationlanguage:enlicense:cc-by-4.0size_categories:10K<n<100Kformat:parquetformat:optimized-parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:uscybersecurityllm-safetyred-teamingcisspalignmentai-safety-benchmark

README current version from Hugging Face


license: cc-by-4.0
task_categories:

  • text-generation
  • text-classification
    language:
  • en
    tags:
  • cybersecurity
  • llm-safety
  • red-teaming
  • cissp
  • alignment
  • ai-safety-benchmark
    size_categories:
  • 10K<n<100K
    pretty_name: CISSP-LLMBench
    extra_gated_prompt: >
    This dataset contains red-teaming prompts related to cybersecurity.
    By clicking 'Agree', you confirm that you are using this data solely for
    defensive AI-safety research and will not attempt to operationalize any
    prompts for malicious purposes.
    extra_gated_fields:
    Organization/Affiliation: text
    I agree to the terms of responsible use: checkbox

CISSP-LLMBench

README history 20 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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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. 2026-06-21[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("fahadhafeezofficial/cissp-llmbench")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="fahadhafeezofficial/cissp-llmbench", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/fahadhafeezofficial/cissp-llmbench
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