What is Dataset?
A dataset is a structured set of data used to train, test, and evaluate AI and ML models. Datasets can contain text, images, audio, video, numerical values, and other sorts of information that assist AI systems in learning patterns and making predictions. In machine learning, datasets are typically divided into three parts: a training dataset for teaching the model, a validation dataset for optimizing performance, and a test dataset for assessing accuracy. The quality, quantity, and variety of a dataset all influence how well an AI model works.
For example, a facial recognition system is trained on a dataset of thousands or millions of annotated photos of human faces. Similarly, large language models are trained using vast text datasets gathered from books, websites, papers, and other sources.
Example: A spreadsheet containing customer information, purchase history, and demographics can serve as a dataset for predicting future buying behavior.
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