This synthetic dataset consists of 301,823 conversations between a customer service agent at a fictitious company called Union Financial and a customer. The corpus contains discussions including 8,739 distinct call reasons across 437 banking products and services. The types of call reasons range from issues using a banking product or service to questions that a customer might have about them.
