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This article discusses the technical validation process for a dataset of synthetic utterances representing different personality types. The validation tests were organized into clusters and involved two independent expert annotators who were able to accurately identify the personality type expressed in each utterance. The experts’ annotations were compared to a “gold standard” and to each other, showing a high level of agreement.