Data are necessary for machine learning models. Even the most efficient algorithms might become useless without a base of high-quality training data. In fact, when they are initially trained on insufficient, erroneous, or irrelevant data, strong machine learning algorithms can be severely hindered. A well-known adage still holds brutally when