Etherlabs/ios-risk-finetune-v3
IOS Risk Fine-Tune Dataset v3 Quality-gated instruction-tuning data for financial fraud, AML typologies, and Bank Secrecy Act regulatory recall. This is a research dataset assembled from public data, official public regulations, deterministic synthetic scenarios, and validated model-assisted rewrites. It is not production transaction evidence. Composition Source Records Description Public tabular benchmark 9,242 ULB/Kaggle credit-card examples; record… See the full description on the dataset page: https://huggingface.co/datasets/Etherlabs/ios-risk-finetune-v3.
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