A validation dataset is a set of data used to tune the hyperparameters of a model and assess its performance during the training phase, ensuring the model generalizes well to unseen data. It serves as a proxy for the test dataset, helping to prevent overfitting by providing an unbiased evaluation of the model as it is being developed.