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🛡️ Dante Synthetic Finance: AML Discovery Edition (V1)
🚀 The Mission
Training AI to detect money laundering is nearly impossible due to privacy laws (GDPR/CCPA). This dataset provides a high-fidelity, 100% synthetic alternative that mimics real-world banking ecosystems without compromising any real user data.
🧠 The Dante Engine Advantage
Unlike standard random generators, this dataset was created using the Dante Synthetic Engine, which focuses on:
- Behavioral Patterns: Uses Gamma & Exponential distributions to simulate realistic human spending habits.
- Embedded Anomalies: Includes "Smurfing" and "Layering" patterns specifically designed to test the limits of Fraud Detection algorithms.
- Global Scope: Includes ISO-standard country codes and Merchant Category Codes (MCC).
📊 Dataset Structure
transaction_id: Unique identifier for each event.timestamp: High-precision temporal data.user_id: Synthetic user mapping.amount: Financial value with realistic outliers.location_iso: Global transaction origin.is_fraud: Ground truth label for model training (0 = Normal, 1 = Anomaly).
Looking for larger volumes? The Dante Engine can generate 10M+ rows of custom-tailored financial data. Contact via profile for specialized integration.
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