This dataset contains synthetic data representing fake currency samples. It includes information such as the country of origin, denomination, whether the currency is genuine or counterfeit, serial numbers, security features, weight, length, width, and thickness of the currency. The dataset can be used for various machine-learning tasks such as classification, anomaly detection, and feature engineering. It is suitable for exploring patterns and trends in counterfeit currency and analyzing the effectiveness of security features.

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