SEDE Dataset | Papers With Code

SEDE Dataset | Papers With Code

SEDE is a dataset comprised of 12,023 complex and diverse SQL queries and their natural language titles and descriptions, written by real users of the Stack Exchange Data Explorer out of a natural interaction. These pairs contain a variety of real-world challenges which were rarely reflected so far in any other semantic parsing dataset. The goal of this dataset is to take a significant step towards evaluation of Text-to-SQL models in a real-world setting. Compared to other Text-to-SQL datasets, SEDE contains at least 10 times more SQL queries templates (queries after canonization and anonymization of values) than other datasets, and has the most diverse set of utterances and SQL queries (in terms of 3-grams) out of all single-domain datasets. SEDE introduces real-world challenges, such as under-specification, usage of parameters in queries, dates manipulation and more.

1 mentions: @omarsar0
Keywords: dataset
Date: 2021/06/10 12:18

Referring Tweets

@omarsar0 I would be the happiest machine learning engineer if an ML system can help generate accurate SQL queries based purely on text descriptions. We are not there yet! This paper proposes a new dataset to help improve and evaluate Text-to-SQL models.

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