Dataset · Hugging Face

preemware/pentesting-eval

Name: pentesting-eval
Creator: preemware
License: apache-2.0
Keywords: task_categories:question-answering, language:en, license:apache-2.0, size_categories:n<1K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, cybersecurity, penetration-testing, security, llm-evaluation

Dataset Description The pentesting-eval dataset is a multiple-choice collection designed to enhance AI training and evaluation in cybersecurity, particularly for penetration testing. Utilizing OpenAI's GPT-4 Turbo and structured according to the Multitask-Multimodal-Language-Understanding (MMLU) framework, this dataset features a diverse range of questions that mimic various network environments, attack strategies, and real-world penetration testing scenarios. Cited… See the full description on the dataset page: https://huggingface.co/datasets/preemware/pentesting-eval.

View on Hugging FaceReport an issue

Author / organization	preemware
License (as declared)	apache-2.0
Downloads	215 (as reported by Hugging Face)
Likes	14
Created	10 April 2024
Last updated at source	31 July 2026

cybersecuritypenetration-testingsecurityllm-evaluationbenchmark

Embed this entry

<iframe src="https://silytics.si/embed/item/448c7cc0-6555-45b4-a848-8d3e92b2c20d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

215 now (-19 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.