Coached Conversational Preference Elicitation
Introduced by Radlinski et al. in Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences
Coached Conversational Preference Elicitation is a dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing movie preferences in natural language. It was collected using a Wizard-of-Oz methodology between two paid crowd-workers, where one worker plays the role of an 'assistant', while the other plays the role of a 'user'.
Papers
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