Credit Card Fraud is a dataset for detecting credit card fraud in financial transaction scenarios. It aims to support machine learning models in identifying and modeling abnormal transactions, focusing on solving the problem of extreme class imbalance in financial scenarios, thereby improving the detection capabilities of models in real business environments. This dataset contains credit card transaction data from the western United States, recording detailed information for each transaction, such as customer account information, merchant and transaction type, as well as whether the transaction is fraudulent. It is primarily used to study the problem of fraud detection in credit card transactions.