A test dataset is a subset of data used to evaluate the performance and accuracy of a machine learning model after it has been trained on a separate training dataset. It is crucial for assessing how well the model generalizes to new, unseen data, ensuring that the model's predictions are reliable and not just memorized responses to the training data.