Verified85% confidenceFactTime unknown
The Spider benchmark was released by Yale University in 2018 and contains more than 10,000 natural language questions and corresponding SQL queries, covering 200 databases.
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85%
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6/1/2026
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UnverifiedSpider数据集于2018年发布，包含跨越138个数据库领域的10181对自然语言-SQL对84% similarUnverifiedSpider is a cross-database Text-to-SQL benchmark whose outputs are highly structured with high template repetition, so n-gram hit rates are naturally favorable.64% similarUnverifiedSpider 2.0 is a Text-to-SQL benchmark targeting enterprise-grade real data warehouse scenarios, covering multiple dialects such as BigQuery, Snowflake, and SQLite, and is considered significantly harder than the original Spider.60% similarUnverifiedThe commonly used benchmarks for measuring NL2SQL system accuracy are the Spider and BIRD datasets, where Spider tests cross-domain generalization ability and BIRD more closely reflects the complexity of real enterprise databases.59% similarUnverifiedThe BIRD benchmark covers 179 questions across 4 databases, with queries generated by Google's gemini-3.8-flash.55% similar
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