Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"
|dc.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.||en|
|dc.description.sponsorship||Toshiba Research Europe Ltd, Cambridge Research Laboratory [RG74649]||en|
|dc.publisher||University of Cambridge||en|
|dc.rights||Attribution 4.0 International||*|
|dc.subject||wizard of oz||en|
|dc.title||Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"||en|
|dc.contributor.orcid||Wen, Tsung-Hsien [0000-0002-7411-0478]||en|