In the context of machine learning and artificial intelligence, a dataset is a collection of related data. It is a fundamental building block for training, validating, and testing machine learning models. Datasets can come in various forms, such as tables, images, text documents, audio files, or even network graphs. Datasets are commonly used for supervised learning (where the data is labeled) to train models to predict outcomes, unsupervised learning (where the data is unlabeled) to discover patterns, and reinforcement learning (where the model learns through interaction with an environment).
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