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