Etherlabs/ios-risk-finetune-v1
IOS Risk Fine-Tune Dataset v1 Instruction-tuning dataset for financial risk and fraud detection. Built by the IOS Risk Data Foundry pipeline. Sources Source Records Description Credit Card Fraud (real) ~284k Kaggle creditcard.csv with engineered features Synthetic Transactions ~10k Statistically sampled from real distributions SEC EDGAR 10-K Filings varies Regulatory risk language from public filings Format Alpaca instruction… See the full description on the dataset page: https://huggingface.co/datasets/Etherlabs/ios-risk-finetune-v1.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face