  Existing argumentation datasets have succeeded in allowing researchers to
develop computational methods for analyzing the content, structure and
linguistic features of argumentative text. They have been much less successful
in fostering studies of the effect of "user" traits -- characteristics and
beliefs of the participants -- on the debate/argument outcome as this type of
user information is generally not available. This paper presents a dataset of
78, 376 debates generated over a 10-year period along with surprisingly
comprehensive participant profiles. We also complete an example study using the
dataset to analyze the effect of selected user traits on the debate outcome in
comparison to the linguistic features typically employed in studies of this
kind.
