Datasets:
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README.md
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## 🧠 Overview
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The **Cifer-Fraud-Detection-Dataset-AF** is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
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This dataset draws structural inspiration from the **PaySim simulator,** which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries. Cifer extends this format by scaling it to **
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> ### Accuracy Benchmark:
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> Cifer-trained models on this dataset reach **99.93% accuracy,** benchmarked against real-world fraud datasets with **99.98% baseline accuracy**—providing high-fidelity behavior for secure, distributed ML research.
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# 📁 File Organization
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Total Rows: **
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Split into
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- `Cifer-Fraud-Detection-Dataset-AF-part-1-
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- `Cifer-Fraud-Detection-Dataset-AF-part-2-
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- `Cifer-Fraud-Detection-Dataset-AF-part-3-
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- `Cifer-Fraud-Detection-Dataset-AF-part-4-
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Format: `.csv` (optionally `.parquet` or `.json` upon request)
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## 🧠 Overview
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The **Cifer-Fraud-Detection-Dataset-AF** is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
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This dataset draws structural inspiration from the **PaySim simulator,** which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries. Cifer extends this format by scaling it to **12 million samples,** optimizing for **federated learning environments,** and validating performance against real-world datasets.
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> ### Accuracy Benchmark:
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> Cifer-trained models on this dataset reach **99.93% accuracy,** benchmarked against real-world fraud datasets with **99.98% baseline accuracy**—providing high-fidelity behavior for secure, distributed ML research.
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# 📁 File Organization
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Total Rows: **12,000,000**
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Split into 8 folders/files for large-scale and federated learning scenarios:
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- `Cifer-Fraud-Detection-Dataset-AF-part-1-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-2-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-3-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-4-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-5-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-6-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-7-8.csv` → 1.5M rows
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- `Cifer-Fraud-Detection-Dataset-AF-part-8-8.csv` → 1.5M rows
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Format: `.csv` (optionally `.parquet` or `.json` upon request)
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