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A Dataset object in programming, particularly in data science and machine learning contexts, refers to a structured collection of data that can be easily manipulated and analyzed. It typically encapsulates features (input variables) and labels (output variables) in a way that facilitates efficient data processing and transformation. In frameworks like TensorFlow or PyTorch, a Dataset object provides methods for loading, batching, and augmenting data, making it easier to prepare data for training models. Overall, it serves as a fundamental building block for data handling in machine learning workflows.

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