Dataset · Hugging Face

RevealWire/rsb-1000

Name: rsb-1000
Creator: RevealWire
License: cc-by-4.0
Keywords: task_categories:text-classification, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, scam-detection, phishing, cybersecurity, synthetic

RSB-1000 — RevealWire Scam Benchmark v1 A labeled, fully synthetic 1,000-message benchmark for testing how well AI models detect scams (phishing, fake jobs, invoice fraud, impersonation, investment fraud, romance scams, and ambiguous edge cases). Built for the Reveal Wire investigation "We Tested 2 Open AIs Against 200 Phishing Attacks" (EP03, October 2026). Why this dataset exists When we researched EP03, we found zero published scam/phishing-detection scores for… See the full description on the dataset page: https://huggingface.co/datasets/RevealWire/rsb-1000.

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Author / organization	RevealWire
License (as declared)	cc-by-4.0
Downloads	0 (as reported by Hugging Face)
Likes	1
Created	22 October 2026
Last updated at source	22 October 2026

scam-detectionphishingcybersecuritysyntheticbenchmark

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