  This paper presents a dataset collected from natural dialogs which enables to
test the ability of dialog systems to learn new facts from user utterances
throughout the dialog. This interactive learning will help with one of the most
prevailing problems of open domain dialog system, which is the sparsity of
facts a dialog system can reason about. The proposed dataset, consisting of
1900 collected dialogs, allows simulation of an interactive gaining of
denotations and questions explanations from users which can be used for the
interactive learning.
