budzianowski/multiwoz
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
This is a comprehensive collection of human-to-human conversations designed to train and evaluate AI assistants. It provides diverse dialogue data, including user requests, system responses, and the AI's understanding of user intent across multiple topics like booking restaurants or taxis. This resource is for researchers and developers building conversational AI systems, helping them create more natural and accurate AI interactions.
938 stars. No commits in the last 6 months.
Use this if you are developing or evaluating a task-oriented conversational AI system that needs to understand and respond to multi-turn, multi-domain user requests.
Not ideal if you need a dataset focused solely on open-ended chat or single-turn question-answering.
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938
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208
Language
Python
License
MIT
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Last pushed
Jan 14, 2025
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