datumo/FinRED
FinRED: An Expert-Guided Red-Teaming Benchmark for Financial LLM Safety Dataset Description FinRED is the first comprehensive red-teaming benchmark specifically designed to evaluate the safety of Large Language Models (LLMs) in the financial domain. Developed in collaboration with 12 domain experts from South Korea's Financial Security Institute (FSI), FinRED provides 5,805 adversarial seed prompts grounded in realistic financial threat scenarios. Unlike… See the full description on the dataset page: https://huggingface.co/datasets/datumo/FinRED.
| Author / organization | datumo |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 315 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 June 2026 |
| Last updated at source | 6 October 2026 |
Popularity, last 4 days
315 now (-16 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 Information may be incomplete or out of date.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 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.