An Evaluation Dataset is a collection of labeled audio, transcripts, or conversations used to measure the performance of AI models. The dataset remains separate from training data to provide an unbiased assessment.
Voice AI teams use Evaluation Datasets to benchmark speech recognition, language understanding, and speech synthesis models. Consistent evaluation helps compare model versions and validate improvements before deployment.