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English(EN) Half the Answer Keys in Text-to-SQL Benchmarks Are Wrong.

文本到SQL基准测试存在缺陷:超过一半的答案密钥不正确

最近对文本到SQL基准测试的审计显示,答案密钥存在严重不准确之处,在BIRD Mini-Dev和Spider 2.0-Snow等主要数据集中,超过50%的标注是错误的。这表明当前该领域AI代理的性能指标可能不可靠。为解决此问题,一种新方法提出根据预定义的答案规范生成数据库,而不是从现有数据库推导出答案,旨在创建更值得信赖的基准测试。 AI

影响 不准确的基准测试可能导致文本到SQL AI代理的开发和部署被误导。

排序理由 该条目讨论了一篇研究论文,该论文指出了现有文本到SQL模型基准测试的重大缺陷。[lever_c_demoted from research: ic=1 ai=1.0]

在 Towards AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

文本到SQL基准测试存在缺陷:超过一半的答案密钥不正确

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该条目讨论了一篇研究论文,该论文指出了现有文本到SQL模型基准测试的重大缺陷。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Towards AI TIER_1 English(EN) · Muhammed Rasin ·

    文本到SQL基准测试中一半的答案密钥是错误的。

    <figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*cwpsmWT-bRC1Gzik_ZuDeg.png" /></figure><h3>Half the Answer Keys in Text-to-SQL Benchmarks Are Wrong. So I Generated the Database From the Answer Key.</h3><h4>A VLDB 2026 audit found that most text-to-SQL answer k…