The E2E Challenge Dataset

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.

E2E数据集（E2E dataset）是一款面向餐厅领域、用于训练端到端数据驱动型自然语言生成系统的新型数据集，其规模为当前该领域常用现有数据集的十倍以上，包含超过5000组独特语义表征与对应超过5万条自然语言参考文本。该数据集带来了两项全新挑战：其一，其人工参考文本具备更丰富的词汇多样性与句法变体，涵盖话语层面现象；其二，基于该数据集开展生成任务需进行内容选择。