A training dataset is a collection of data used to teach a machine learning model how to make predictions or decisions. This dataset contains input data along with the correct output, allowing the model to learn patterns and relationships. For example, in image recognition, the training dataset might include pictures of cats and dogs, labeled accordingly. The quality and size of the training dataset are crucial for the model's performance. A larger and more diverse dataset helps the model generalize better to new, unseen data. If the dataset is too small or biased, the model may not perform well in real-world applications.