The SpeDial datasets: datasets for spoken dialogue systems analyticsThe SpeDial datasets: datasets for spoken dialogue systems analytics Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-11-162016enThe SpeDial consortium is sharing two datasets that were used during the SpeDial project. By sharing them with the community we are providing a resource to reduce the duration of cycle of development of new Spoken Dialogue Systems (SDSs). The datasets include audios and several manual annotations, i.e., miscommunication, anger, satisfaction, repetition, gender and task success. The datasets were created with data from real users and cover two different languages: English and Greek. Detectors for miscommunication, anger and gender were trained for both systems. The detectors were particularly accurate in tasks where humans have high annotator agreement such as miscommunication and gender. As expected due to the subjectivity of the task, the anger detector had a less satisfactory performance. Nevertheless, we proved that the automatic detection of situations that can lead to problems in SDSs is possible and can be a promising direction to reduce the duration of SDS's development cycle.http://creativecommons.org/licenses/by/4.0/104-11010th International Conference on Language Resources and EvaluationProceedings of the 10th International Conference on Language Resources and Evaluation Lopes José David Aguas Chorianopoulou Arodami Χωριανοπουλου Αροδαμη Palogiannidi Elisavet Παλογιαννιδη Ελισαβετ Moniz Helena Abad Alberto Iosif Ilias Ιωσηφ Ηλιας Potamianos Alexandros Ποταμιανος Αλεξανδρος ELRA European Language Resources Association Emotions Multi-lingual data Sentiment analysis Spoken dialogue systems