| Summary: | International audience This paper describes the DINASTI (DIalogues with a Negotiating Appointment SeTting Interface) corpus, which is composed of 1734dialogues with the French spoken dialogue system NASTIA (Negotiating Appointment SeTting InterfAce). NASTIA is a reinforcementlearning-based system. The DINASTI corpus was collected while the system was following a uniform policy. Each entry of the corpusis a system-user exchange annotated with 120 automatically computable features.The corpus contains a total of 21587 entries, with 385testers. Each tester performed at most five scenario-based interactions with NASTIA. The dialogues last an average of 10.82 dialogueturns, with 4.45 reinforcement learning decisions. The testers filled an evaluation questionnaire after each dialogue. The questionnaireincludes three questions to measure task completion. In addition, it comprises 7 Likert-scaled items evaluating several aspects of theinteraction, a numerical overall evaluation on a scale of 1 to 10, and a free text entry. Answers to this questionnaire are provided withDINASTI. This corpus is meant for research on reinforcement learning modelling for dialogue management.
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