Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"

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Authors
  Wen, Tsung-Hsien
Mrksic, Nikola
Young, Steve
Publication Date
2016-10-31
Publisher
University of Cambridge
Type
Dataset
Metadata
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Citation
Wen, T., Mrksic, N., & Young, S. (2016). Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems" [Dataset]. https://doi.org/10.17863/CAM.6142
Description
Cambridge 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.
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None
Keywords
dialogue system, wizard of oz
Relationships
Publication Reference: https://arxiv.org/abs/1606.03352
Sponsorship
Toshiba Research Europe Ltd, Cambridge Research Laboratory [RG74649]
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.6142

Rights
Attribution 4.0 International
Licence URL: http://creativecommons.org/licenses/by/4.0/


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