One of the most recent areas of research in the field of Artificial Intelligence concerns Machine Unlearning. Since research necessarily needs many tests and benchmarks to evaluate new proposals about methods or algorithms and compare them to the already existing ones, large datasets are requested. Complications about the difficulty to collect big amounts of data or privacy of individuals led to synthetic datasets. Not only they are faster to create than collecting real data, and don’t leak information about anyone, but they are also built ad hoc, so the user can decide,and tune characteristics based on the aim of the test.