Coached Conversational Preference Elicitation

Submitted by on Dec 11 2019 } Suggest Revision
By: Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi
Resource Type:
Data
License:
CC BY-SA 4.0
Language:
Data Format:
JSON format

Description

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'.
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