OurBench

Gold definitionUpdated Apr 2, 2026

Definition

OurBench is the first benchmark for enterprise-level SQL reasoning and debugging, designed to evaluate Large Language Models (LLMs). It features an automated bug injection workflow and an execution-free evaluation framework for scalable, accurate assessment of SQL code generation and repair.

At a glance

Executive summary

OurBench is a new benchmark designed to test how well AI models can write and fix complex SQL code, especially for business use. It automatically creates SQL problems with bugs and evaluates solutions quickly without needing to run them on a database. Current AI models struggle significantly with these challenges.

TL;DR

OurBench is a new benchmark that tests how good AI models are at writing and fixing complicated SQL code for businesses, showing they still have a lot to learn.

Key points

Uses reverse engineering to inject realistic bugs into SQL and an execution-free framework for evaluation.
Provides the first benchmark for enterprise-level SQL reasoning and debugging, addressing the difficulty LLMs face in generating correct SQL.
Used by researchers and ML engineers developing and evaluating text-to-SQL LLMs, and those in enterprise data engineering.
It is the first benchmark specifically for enterprise-level SQL reasoning and debugging, distinguishing it from general text-to-SQL benchmarks.
Focuses on improving LLM capabilities for complex code generation, debugging, and understanding user intent in specialized domains like SQL.

Use cases

Benchmarking the SQL generation and debugging capabilities of new Large Language Models.
Guiding the fine-tuning and development of text-to-SQL models for enterprise applications.
Evaluating the robustness of AI-powered SQL auto-correction or debugging tools.
Assessing the ability of LLMs to handle complex, multi-statement SQL queries with deep logical structures.