SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations

Abstract

Next generation task-oriented dialog systems need to understand conversational contexts with their perceived surroundings, to effectively help users in the real-world multimodal environment. Existing task-oriented dialog datasets aimed towards virtual assistance fall short and do not situate the dialog in the user's multimodal context. To overcome, we present a new dataset for Situated and Interactive Multimodal Conversations, SIMMC 2.0, which includes 11K taskoriented user$assistant dialogs (117K utterances) in the shopping domain, grounded in immersive and photo-realistic scenes.