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KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

Research article (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021) · cited 43× · AI/ML
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KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

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KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers is a scholarly article[1].

Key Facts

  • KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. Retrieved May 24, 2026, from https://4ort.xyz/entity/kaggledbqa-realistic-evaluation-of-text-to-sql-parsers
MLA “KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/kaggledbqa-realistic-evaluation-of-text-to-sql-parsers.
BibTeX @misc{4ortxyz_kaggledbqa-realistic-evaluation-of-text-to-sql-parsers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers}}, year = {2026}, url = {https://4ort.xyz/entity/kaggledbqa-realistic-evaluation-of-text-to-sql-parsers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers — https://4ort.xyz/entity/kaggledbqa-realistic-evaluation-of-text-to-sql-parsers (retrieved 2026-05-24)

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