kirco567/ScamWeb-Dataset

281 downloads in 30 days2 likesLast modified 10 Oct 2026View on Hugging Face

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 7444815
Licence files: LICENSE, detected as cc-by-4.0Evidence: LICENSE at 7444815
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

The accompanying paper is an **anonymous AAAI 2027 submission**:

> **ScamWeb: A Multimodal Benchmark for Grounded Understanding of Cyber-enabled Fraud Webpages.** Anonymous submission, AAAI 2027.

An archival citation will be added when public author and publication information becomes available. The anonymous code mirror linked above provides the benchmark protocol and ScamMark implementation.

Benign webpage source: Potpelwar, R. S.; Kulkarni, U.; and Waghmare, J. 2025. *LegitPhish: A large-scale annotated dataset for URL-based phishing detection.* Data in Brief, 63: 111972.

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dataset_licence({ "id": "kirco567/ScamWeb-Dataset" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0