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MultiWOZ is a well-known task-oriented dialogue dataset containing over10,000 annotated dialogues spanning 8 domains. It is extensively used as abenchmark for dialogue state tracking. However, recent works have reportedpresence of substantial noise in the dialogue state annotations. MultiWOZ 2.1identified and fixed many of these erroneous annotations and user utterances,resulting in an improved version of this dataset. This work introduces MultiWOZ2.2, which is a yet another improved version of this dataset. Firstly, weidentify and fix dialogue state annotation errors across 17.3% of theutterances on top of MultiWOZ 2.1. Secondly, we redefine the ontology bydisallowing vocabularies of slots with a large number of possible values (e.g.,restaurant name, time of booking). In addition, we introduce slot spanannotations for these slots to standardize them across recent models, whichpreviously used custom string matching heuristics to generate them. We alsobenchmark a few state of the art dialogue state tracking models on thecorrected dataset to facilitate comparison for future work. In the end, wediscuss best practices for dialogue data collection that can help avoidannotation errors.

MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines