  Most of the current task-oriented dialogue systems (ToD), despite having
interesting results, are designed for a handful of languages like Chinese and
English. Therefore, their performance in low-resource languages is still a
significant problem due to the absence of a standard dataset and evaluation
policy. To address this problem, we proposed ViWOZ, a fully-annotated
Vietnamese task-oriented dialogue dataset. ViWOZ is the first multi-turn,
multi-domain tasked oriented dataset in Vietnamese, a low-resource language.
The dataset consists of a total of 5,000 dialogues, including 60,946 fully
annotated utterances. Furthermore, we provide a comprehensive benchmark of both
modular and end-to-end models in low-resource language scenarios. With those
characteristics, the ViWOZ dataset enables future studies on creating a
multilingual task-oriented dialogue system.
