Datasets › BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
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 and 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.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Text-To-SQL | BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) | XiYan-SQL Execution Accuracy % (Test) 75.63 | A Preview of XiYan-SQL: A Multi-Generator Ensemble... | XGenerationLab/XiYan-SQL +4 | 41 | Compare |
Papers archive 2025-07-28
11 shown of 11 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 15. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
1 variant name, as the archive lists them.
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