Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 - cifer
 pretty_name: Cifer-Fraud-Detection-Dataset-AF
 size_categories:
-- 1M<n<10M
+- 10M<n<100M
 ---
 
 # 📊 Cifer Fraud Detection Dataset
@@ -20,7 +20,7 @@ size_categories:
 ## 🧠 Overview
 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.
 
-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.
+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 **21 million samples,** optimizing for **federated learning environments,** and validating performance against real-world datasets.
 
 > ### Accuracy Benchmark:
 > 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.
@@ -55,14 +55,20 @@ This dataset is **entirely synthetic** and was generated using **Cifer’s inter
 # 📁 File Organization
 Total Rows: **12,000,000**
 Split into 8 folders/files for large-scale and federated learning scenarios:
-- `Cifer-Fraud-Detection-Dataset-AF-part-1-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-2-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-3-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-4-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-5-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-6-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-7-8.csv` → 1.5M rows
-- `Cifer-Fraud-Detection-Dataset-AF-part-8-8.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-1-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-2-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-3-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-4-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-5-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-6-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-7-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-8-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-9-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-10-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-11-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-12-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-13-14.csv` → 1.5M rows
+- `Cifer-Fraud-Detection-Dataset-AF-part-14-14.csv` → 1.5M rows
 
 Format: `.csv` (optionally `.parquet` or `.json` upon request)