The E2E Challenge Dataset

  • Jekaterina Novikova (Creator)
  • Ondrej Dusek (Creator)
  • Verena Rieser (Creator)



The E2E data, a new dataset for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area (>5k distinct meaning representations with >50k corresponding natural language reference texts).

The E2E dataset poses new challenges: (1) its human reference texts show more lexical richness and syntactic variation, including discourse phenomena; (2) generating from this set requires content selection.
Date made availableNov 2017
PublisherHeriot-Watt University
Date of data production2017

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