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Dataset · Hugging Face

Anonymousbabygoat/TrustFCC

TrustFCC: Benchmarking Reporting Decisions and Explanations in Financial-Crime Compliance A matched-twin benchmark of auditable explanations for financial-crime compliance, spanning two domains — anti-money-laundering (AML) and market abuse. Every scenario is judged not by a yes/no label but against a four-element rubric: the mechanism of the abuse, the rule that is defeated (loophole in AML, breach in market abuse), the distinguishing facts that separate a violation from its… See the full description on the dataset page: https://huggingface.co/datasets/Anonymousbabygoat/TrustFCC.

Author / organizationAnonymousbabygoat
License (as declared)cc-by-4.0
Downloads240 (as reported by Hugging Face)
Likes0
Created6 October 2026
Last updated at source13 October 2026
financial-crimeanti-money-launderingmarket-abusecompliancereasoningbenchmark
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