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dc.contributor.authorWen, Tsung-Hsien
dc.contributor.authorMrksic, Nikola
dc.contributor.authorYoung, Steve
dc.date.accessioned2016-10-31T14:45:08Z
dc.date.available2016-10-31T14:45:08Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/260970
dc.descriptionCambridge restaurant dialogue domain dataset collected for developing neural network based dialogue systems. The two papers published based on this dataset are: 1. A Network-based End-to-End Trainable Task-oriented Dialogue System 2. Conditional Generation and Snapshot Learning in Neural Dialogue Systems The dataset was collected based on the Wizard of Oz experiment on Amazon MTurk. Each dialogue contains a goal label and several exchanges between a customer and the system. Each user turn was labelled by a set of slot-value pairs representing a coarse representation of dialogue state. There are in total 676 dialogue, in which most of the dialogues are finished but some of dialogues were not.en
dc.description.sponsorshipToshiba Research Europe Ltd, Cambridge Research Laboratory [RG74649]en
dc.formatNoneen
dc.publisherUniversity of Cambridgeen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectdialogue systemen
dc.subjectwizard of ozen
dc.titleResearch data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"en
dc.typeDataseten
dc.identifier.doi10.17863/CAM.6142
pubs.declined2017-10-11T13:54:41.788+0100
datacite.iscitedby.urlhttps://arxiv.org/abs/1606.03352en
datacite.contributor.supervisorYoung, Steve
dcterms.formatzip, jsonen
dc.contributor.orcidWen, Tsung-Hsien [0000-0002-7411-0478]en


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International