Training a machine learning model requires a substantial dataset of labeled data. This data acts as the foundation upon which the model learns to make decisions. The quality and quantity of sample data directly influence the accuracy of the trained model. A well-curated dataset should be comprehensive, encompassing a wide range of cases that reflec