A Validation Dataset is a separate collection of data used during AI model development to evaluate performance, tune model parameters, and detect overfitting before deployment.
Voice AI developers use Validation Datasets to assess speech recognition, language understanding, and speech synthesis models, ensuring they generalize well to new conversations and real-world scenarios.