  Group deliberation enables people to collaborate and solve problems, however,
it is understudied due to a lack of resources. To this end, we introduce the
first publicly available dataset containing collaborative conversations on
solving a well-established cognitive task, consisting of 500 group dialogues
and 14k utterances. In 64% of these conversations, the group members are able
to find a better solution than they had identified individually, and in 43.8%
of the groups who had a correct answer as their final solution, none of the
participants had solved the task correctly by themselves. Furthermore, we
propose a novel annotation schema that captures deliberation cues and release
all 14k utterances annotated with it. Finally, we use the proposed dataset to
develop and evaluate two methods for generating deliberation utterances. The
data collection platform, dataset and annotated corpus are publicly available
at https://delibot.xyz.
