shaw/scambench-training
ScamBench Training Corpus A multilingual, multi-turn training corpus for building scam-resistant autonomous agents. Dataset Description ScamBench is a comprehensive dataset designed to train AI agents to resist social engineering, phishing, prompt injection, credential theft, impersonation, advance-fee fraud, and other adversarial attacks while maintaining helpfulness for legitimate requests. Key Features 37,423 total records across 14 languages… See the full description on the dataset page: https://huggingface.co/datasets/shaw/scambench-training.
| Author / organization | shaw |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 219 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 April 2026 |
| Last updated at source | 8 April 2026 |
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219 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: ScamBench Training Corpus A multilingual, multi-turn training corpus for building scam-resistant autonomous agents. Dataset Description ScamBench is a comprehensive dataset designed to train AI agents to resist social engineering, phishing, → ScamBench Training Corpus A multilingual, multi-turn training corpus for building scam-resistant autonomous agents. Dataset Description ScamBench is a comprehensive dataset designed to train AI agents to resist social engineering, phishing,
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.