We release the full version of BIRD-Critic-PG, a dataset containing 530 high-quality user issues focused on real-world PostgreSQL database applications. The schema file is include in the code repository https://github.com/bird-bench/BIRD-CRITIC-1/blob/main/baseline/data/post_schema.jsonl
BIRD-Critic is the first SQL debugging benchmark designed to answer a critical question:
Can large language models (LLMs) fix user issues in real-world database applications?
Each task in BIRD-CRITIC has been verified by human experts on the following dimensions:
We are pleased to announce the release of the preview version of BIRD-Critic-PG (530) shortly, bird-critic-1.0-postgresql, which includes high-quality user issues focused on PostgreSQL when developing real-world applications. We curate tasks by:
| Model | Query (291) | Management (88) | Personalization (151) | Total (530) | Level | Rank |
|---|---|---|---|---|---|---|
| o3-mini-2025-01-31 | 32.30 | 57.95 | 40.40 | 38.87 | π Leading | 1 |
| gpt-4.1 | 31.27 | 55.68 | 38.41 | 37.36 | π Elite | 2 |
| o1-preview-2024-09-12 | 29.90 | 53.41 | 37.09 | 35.85 | π Superior | 3 |
| claude-3-7-sonnet-20250219(thinking) | 29.55 | 45.45 | 35.76 | 33.96 | π Superior | 4 |
| gemini-2.0-flash-thinking-exp-01-21 | 27.15 | 53.41 | 33.11 | 33.21 | πΈ Advanced | 5 |
| claude-3-7-sonnet-20250219 | 27.15 | 43.18 | 35.10 | 32.08 | πΈ Advanced | 6 |
| QwQ-32B | 28.87 | 42.05 | 30.46 | 31.51 | βͺ Basic | 7 |
| gemini-2.0-flash | 27.84 | 44.32 | 29.14 | 30.94 | βͺ Basic | 8 |
| Qwen2.5-Coder-32B-Instruct | 31.62 | 38.64 | 24.50 | 30.75 | βͺ Basic | 9 |
| phi-4 | 30.24 | 37.50 | 25.83 | 30.19 | βͺ Basic | 10 |
| Meta-Llama-3.3-70B | 27.84 | 32.95 | 27.81 | 28.68 | βͺ Basic | 11 |
| deepseek-v3 | 25.09 | 35.23 | 28.48 | 27.74 | βͺ Basic | 12 |
| Qwen2.5-Coder-7B-Instruct | 20.27 | 35.23 | 22.52 | 23.40 | βͺ Basic | 13 |
| Meta-Llama-3.1-8B-Instruct | 18.21 | 22.73 | 11.26 | 16.98 | βͺ Basic | 14 |
Tier Classification (By Ranking):
Instance Categories:
Represent as category in each data instance.
To avoid data leakage by auto-crawling, certain fields (e.g., sol_sql, test_cases) are excluded from the public dataset. For the full dataset, please email: π§ [email protected] with subject tag [bird-critic-1 GT&Test Cases], which will be sent automatically within 30 mins.
Below is a description of the dataset fields and additional information about the structure:
If you find our work helpful, please cite as:
@article{li2025swe,
title={SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications},
author={Li, Jinyang and Li, Xiaolong and Qu, Ge and Jacobsson, Per and Qin, Bowen and Hui, Binyuan and Si, Shuzheng and Huo, Nan and Xu, Xiaohan and Zhang, Yue and others},
journal={arXiv preprint arXiv:2506.18951},
year={2025}
}
BIRD Team & Google Cloud
We release the full version of BIRD-Critic-PG, a dataset containing 530 high-quality user issues focused on real-world PostgreSQL database applications. The schema file is include in the code repository https://github.com/bird-bench/BIRD-CRITIC-1/blob/main/baseline/data/post_schema.jsonl
BIRD-Critic is the first SQL debugging benchmark designed to answer a critical question:
Can large language models (LLMs) fix user issues in real-world database applications?
Each task in BIRD-CRITIC has been verified by human experts on the following dimensions:
We are pleased to announce the release of the preview version of BIRD-Critic-PG (530) shortly, bird-critic-1.0-postgresql, which includes high-quality user issues focused on PostgreSQL when developing real-world applications. We curate tasks by:
| Model | Query (291) | Management (88) | Personalization (151) | Total (530) | Level | Rank |
|---|---|---|---|---|---|---|
| o3-mini-2025-01-31 | 32.30 | 57.95 | 40.40 | 38.87 | π Leading | 1 |
| gpt-4.1 | 31.27 | 55.68 | 38.41 | 37.36 | π Elite | 2 |
| o1-preview-2024-09-12 | 29.90 | 53.41 | 37.09 | 35.85 | π Superior | 3 |
| claude-3-7-sonnet-20250219(thinking) | 29.55 | 45.45 | 35.76 | 33.96 | π Superior | 4 |
| gemini-2.0-flash-thinking-exp-01-21 | 27.15 | 53.41 | 33.11 | 33.21 | πΈ Advanced | 5 |
| claude-3-7-sonnet-20250219 | 27.15 | 43.18 | 35.10 | 32.08 | πΈ Advanced | 6 |
| QwQ-32B | 28.87 | 42.05 | 30.46 | 31.51 | βͺ Basic | 7 |
| gemini-2.0-flash | 27.84 | 44.32 | 29.14 | 30.94 | βͺ Basic | 8 |
| Qwen2.5-Coder-32B-Instruct | 31.62 | 38.64 | 24.50 | 30.75 | βͺ Basic | 9 |
| phi-4 | 30.24 | 37.50 | 25.83 | 30.19 | βͺ Basic | 10 |
| Meta-Llama-3.3-70B | 27.84 | 32.95 | 27.81 | 28.68 | βͺ Basic | 11 |
| deepseek-v3 | 25.09 | 35.23 | 28.48 | 27.74 | βͺ Basic | 12 |
| Qwen2.5-Coder-7B-Instruct | 20.27 | 35.23 | 22.52 | 23.40 | βͺ Basic | 13 |
| Meta-Llama-3.1-8B-Instruct | 18.21 | 22.73 | 11.26 | 16.98 | βͺ Basic | 14 |
Tier Classification (By Ranking):
Instance Categories:
Represent as category in each data instance.
To avoid data leakage by auto-crawling, certain fields (e.g., sol_sql, test_cases) are excluded from the public dataset. For the full dataset, please email: π§ [email protected] with subject tag [bird-critic-1 GT&Test Cases], which will be sent automatically within 30 mins.
Below is a description of the dataset fields and additional information about the structure:
If you find our work helpful, please cite as:
@article{li2025swe,
title={SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications},
author={Li, Jinyang and Li, Xiaolong and Qu, Ge and Jacobsson, Per and Qin, Bowen and Hui, Binyuan and Si, Shuzheng and Huo, Nan and Xu, Xiaohan and Zhang, Yue and others},
journal={arXiv preprint arXiv:2506.18951},
year={2025}
}
BIRD Team & Google Cloud