Research data supporting "Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing"
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Description
The Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a collection of human-human written conversations spanning over multiple domains and topics. 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 visitor and the system. Each system turn has labels from the set of slot-value pairs representing a coarse representation of dialogue state. There are in total 9855 dialogues.
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Dataset contains the following seven json files:
1. data.json: the woz dialogue dataset, which contains the conversion from users and wizards, as well as a set of coarse labels for each user turn.
2. restaurant_db.json: the Cambridge restaurant database file, containing restaurants in the Cambridge UK area and a set of attributes.
3. attraction_db.json: the Cambridge attraction database file, contining attractions in the Cambridge UK area and a set of attributes.
4. hotel_db.json: the Cambridge hotel database file, containing hotels in the Cambridge UK area and a set of attributes.
5. train_db.json: the Cambridge train (with artificial connections) database file, containing trains in the Cambridge UK area and a set of attributes.
6. valListFile.json: list of dialogues for validation.
7. testListFile.json: list of dialogues for testing.
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Except where otherwised noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
Sponsorship
The data collection was funded through Google Faculty Award.