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This datasets includes 9 event logs, which can be used to experiment with log completeness-oriented event log sampling methods.<br>· exercise.xes: The dataset is a simulation log generated by the paper review process model, and each trace clearly describes the process of reviewing papers in detail.<br>· training_log_1/3/8.xes: These 3 datasets are human-trained simulation logs for the 2016 Process Discovery Competition (PDC 2016). Each trace consists of two values, the name of the process model activity referenced by the event and the identifier of the case to which the event belongs.<br>· Production.xes: This dataset includes process data from production processes, and each track includes data for cases, activities, resources, timestamps, and more data fields.<br>· BPIC_2012_A/O/W.xes: These 3 dataset are derived from the personal loan application process of a financial institution in the Netherlands. The process represented in the event log is the application process of a personal loan or overdraft in a global financing organization. Each trace describes the process of applying for a personal loan for different customers.·ETM: This data set contains loan application examples and provides a brief description of the loan application process.·TSL.anon: This data set contains loan application examples and provides a brief description of the loan application process.: This data set comprises examples of a telecom company's second-line Customer Relationship Management (CRM) process.·BPIC2015_1: This data set contains loan application examples and provides a brief description of the loan application process.: This data set contains all building permit applications of the Dutch municipal government over approximately 4 years. The logs include information about the main application as well as objections in different stages, and also provide information about the resources and application costs of executing tasks.<br><br>