  We introduce a data set called DCH-2, which contains 4,390 real
customer-helpdesk dialogues in Chinese and their English translations. DCH-2
also contains dialogue-level annotations and turn-level annotations obtained
independently from either 19 or 20 annotators. The data set was built through
our effort as organisers of the NTCIR-14 Short Text Conversation and NTCIR-15
Dialogue Evaluation tasks, to help researchers understand what constitutes an
effective customer-helpdesk dialogue, and thereby build efficient and helpful
helpdesk systems that are available to customers at all times. In addition,
DCH-2 may be utilised for other purposes, for example, as a repository for
retrieval-based dialogue systems, or as a parallel corpus for machine
translation in the helpdesk domain.
