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Dataset · Hugging Face

webnlg/challenge-2023

The WebNLG challenge consists in mapping data to text. The training data consists of Data/Text pairs where the data is a set of triples extracted from DBpedia and the text is a verbalisation of these triples. For instance, given the 3 DBpedia triples shown in (a), the aim is to generate a text such as (b). a. (John_E_Blaha birthDate 1942_08_26) (John_E_Blaha birthPlace San_Antonio) (John_E_Blaha occupation Fighter_pilot) b. John E Blaha, born in San Antonio on 1942-08-26, worked as a fighter pilot As the example illustrates, the task involves specific NLG subtasks such as sentence segmentation

Author / organizationwebnlg
License (as declared)cc-by-sa-3.0
Downloads211 (as reported by Hugging Face)
Likes4
Created10 March 2023
Last updated at source10 March 2023
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