Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"
Publication Date
2016-10-31Publisher
University of Cambridge
Type
Dataset
Metadata
Show full item recordCitation
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.
Format
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
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