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Table · dataset · 2026

PhishNChips

Listed in Hugging Face Datasets

Description

PhishNChips: A Benchmark for LLM Email-Agent Security PhishNChips is a large-scale benchmark for evaluating how system prompt configurations influence the security behavior of LLM-based email agents. This repository contains the canonical v5.2 release, featuring 2,000 email stimuli and 220,000 adjudicated model evaluations. Dataset Overview The benchmark measures a critical deployment variable: how strongly an LLM's system prompt shapes its phishing detection capabilities… See the full description on the dataset page: huggingface.co/datasets/AreLit/PhishNChips.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
text · text classification
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsAreLit/PhishNChips14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0