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2026 / Benchmark

Spider 2.0-AIFunc

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows

What it contributes

Tests whether models generate Snowflake SQL that composes relational operations with AI functions for classification, filtering, sentiment analysis, extraction, similarity, and aggregation.

How to read the evidence

Evaluates SQL generation, not engine execution performance. The paper reports 465 instances; the public task release contains 393. Gold SQL and database resources are not bundled, and official scoring requires additional access.

We checked the primary publication record and abstract. This profile summarizes author-reported work; it does not claim a full-paper audit, implementation audit, or independent reproduction.

Source materials

Explore the connections

Query generationSQLAI functions
  • UQE — UQL / SQL dialect
  • SUQL — SQL extension
  • Sema — SemaSQL / DuckDB