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As digital virtual assistants become ubiquitous, it becomes increasinglyimportant to understand the situated behaviour of users as they interact withthese assistants. To this end, we introduce SIMMC, an extension to ParlAI formulti-modal conversational data collection and system evaluation. SIMMCsimulates an immersive setup, where crowd workers are able to interact withenvironments constructed in AI Habitat or Unity while engaging in aconversation. The assistant in SIMMC can be a crowd worker or ArtificialIntelligent (AI) agent. This enables both (i) a multi-player / Wizard of Ozsetting for data collection, or (ii) a single player mode for model / systemevaluation. We plan to open-source a situated conversational data-set collectedon this platform for the Conversational AI research community.

SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform