{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-e2e-dataset-new-challenges-for-end-to-end","title":"The E2E Dataset: New Challenges For End-to-End Generation","arxiv_id":"1706.09254","date":"2017-06-28","proceeding":"WS 2017 8","authors":["Jekaterina Novikova","Ondřej Dušek","Verena Rieser"],"abstract":"This paper describes the E2E data, a new dataset for training end-to-end,\ndata-driven natural language generation systems in the restaurant domain, which\nis ten times bigger than existing, frequently used datasets in this area. The\nE2E dataset poses new challenges: (1) its human reference texts show more\nlexical richness and syntactic variation, including discourse phenomena; (2)\ngenerating from this set requires content selection. As such, learning from\nthis dataset promises more natural, varied and less template-like system\nutterances. We also establish a baseline on this dataset, which illustrates\nsome of the difficulties associated with this data.","url_abs":"http://arxiv.org/abs/1706.09254v2","url_pdf":"http://arxiv.org/pdf/1706.09254v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"the-e2e-dataset-new-challenges-for-end-to-end","repo_url":"https://github.com/UFAL-DSG/tgen","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"the-e2e-dataset-new-challenges-for-end-to-end","repo_url":"https://github.com/ksktym/e2e-refined-dataset","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"data-to-text-generation","task_name":"Data-to-Text Generation"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[{"slug":"e2e","name":"E2E","full_name":"End-to-End NLG Challenge"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1706.09254","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}