This is an artificial dataset, that contains labelled anomalous process instances. It is created to understand anomaly detection in the bug fixing process of open source projects. Here event_log_artificial contains columns: case_id and activityName whereas trial_log_traces contains columns: case_id, trace and anomalous. Here anomalous "yes" means it is an anomaly and "no" means normal process execution. These logs were created by randomly selecting anomalous traces from (my_anomalous_traces.csv) and normal traces from traces_unique_id.xlsx. As the index of log increases (artificial1, artifiicial2) , number of anomalies also increases. Here 1: Open 2: Closed 3: Resolved 4: In progress 5. Reopened 6. Z Here Z is an anomalous activity.