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    <title>text-to-sql</title>
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    <updated>2026-04-24T08:57:26+00:00</updated>
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            <id>https://links.biapy.com/links/12126</id>
            <title type="text"><![CDATA[BIRD-bench]]></title>
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                <name><![CDATA[Biapy]]></name>
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            <summary type="text">
                <![CDATA[A BIg Bench for Large-Scale Relational Database Grounded Text-to-SQLs.

 BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) represents a pioneering, cross-domain dataset that examines the impact of extensive database contents on text-to-SQL parsing. BIRD contains over 12,751 unique question-SQL pairs, 95 big databases with a total size of 33.4 GB. It also covers more than 37 professional domains, such as blockchain, hockey, healthcare and education, etc. 

- [BIRD-SQL @ GitHub](https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/bird).

Related contents:

- [SQL Is Solved. Here&amp;#039;s Where Chat-BI Still Breaks @ Ju Data Engineering Newsletter](https://juhache.substack.com/p/sql-is-solved-heres-where-chat-bi).]]>
            </summary>
            <updated>2026-03-16T07:02:35+00:00</updated>
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