Description

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

Cite this

Novikova, J. (Creator), Dusek, O. (Creator), Rieser, V. (Creator). (Nov 2017): The E2E Challenge Dataset, Heriot-Watt University. e2e_dataset(.zip). 10.17861/c07fe36b-d0fa-4bbe-967c-f8b4341a133f