The dataset is a synthetic version of the well-known German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data). It includes variables such as Gender, Age, Education, Loan Amount, Loan Duration, Income, Job, Saving and Credit Score. Notably, this dataset serves as a valuable resource for delving into causal relationships, given that the data is systematically generated through the application of structural equations, thereby providing a ground truth directed acyclic graph. Specifically, the inherent data structure has the following causal dependencies: - Gender is a parent of Education, Loan Duration, Loan Amount, Income, Job. - Age is a parent of Education, Loan Duration, Job, Income. - Education is a parent of Job and Income. - Loan amount is a parent of Job Duration and Credit Score - Job is a parent of Income. - Income is a parent of Savings and Credit Score. - Loan Duration is a parent of Credit Score. - Savings is a parent of Credit Score.