This article describes a dataset of labeled texts that was used to measure the quality of the dataset. The validation process included four experiments that measured the 100 dimensions for each text and used these dimensions for classification. Three performance measures were used to evaluate the experiments: accuracy, precision, and recall. The results of the experiments showed that measuring the situational dimensions of the texts can be successfully used for classifying the texts into pre-identified classes.