Browse › Natural Language Processing › Text-To-SQL › BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)

Text-To-SQL archive 2025-07-28

BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) Benchmark (Text-To-SQL)

41 rows 14 with code listed 3 metrics Dataset page

Text-to-SQL is a task in natural language processing (NLP) where the goal is to automatically generate SQL queries from natural language text. The task involves converting the text input into a structured representation and then using this representation to generate a semantically correct SQL query that can be executed on a database.

The archive carries no text for this table; the description above is the archive's text for the task Text-To-SQL. archive 2025-07-28

Over time archive 2025-07-28

The chart needs JavaScript; the table below carries every value.

Direction inferred from the metric name, not from the archive: Execution Accuracy % (Test) (higher is better), Execution Accuracy % (Dev) (higher is better). Not inferred (points only, no best-so-far line): Execution Accurarcy (Human). Points are placed at the row's paper date; 16 of 41 rows carry one.

Results archive 2025-07-28

Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.

Paper Code Ran Syntology Report
1 XiYan-SQL 75.6373.34 – Paper Code 2024 linked, not harvested report
2 DSAIR + GPT-4o 74.1274.32 – – – not matched report
3 CHASE-SQL + Gemini 74.0673.14 – Paper – 2024 no code linked report
4 ExSL + granite-34b-code 73.1772.43 – – – not matched report
5 OpenSearch-SQL+ v2 + GPT-4o 72.2869.3 – – – not matched report
6 Distillery + GPT-4o 71.8367.21 – Paper – 2024 no code linked report
7 Insights AI 70.2672.16 – – – not matched report
8 PURPLE + RED + GPT-4o 70.2168.12 – – – not matched report
9 MCTS-SQL 69.4068.91 – – – not matched report
10 RECAP + Gemini 69.0366.95 – – – not matched report
11 ByteBrain 68.8765.45 – – – not matched report
12 ExSL + granite-20b-code 67.8665.38 – – – not matched report
13 CHESS 66.6965 – Paper Code 2024 6 of 6 ran · 0 unverified report
14 Arcwise + GPT-4o 66.2167.99 – – – not matched report
15 MCS-SQL + GPT-4 65.4563.36 – – – not matched report
16 SCL-SQL 65.2364.73 – – – not matched report
17 OpenSearch-SQL v1 + GPT-4 64.9561.34 – – – not matched report
18 PB-SQL v1 64.8460.5 – – – not matched report
19 PURPLE + GPT-4o 64.5162.97 – – – not matched report
20 MSL-SQL + DeepSeek-V2.5 64.0066.82 – – – not matched report
21 SENSE-13B 63.3955.48 – – – not matched report
22 SENSE 63.3955.48 – – – not matched report
23 GRA-SQL 63.2262.58 – – – not matched report
24 SuperSQL 62.6658.5 – – – not matched report
25 Dubo-SQL, v1 60.7159.71 – – – not matched report
26 SFT CodeS-15B 60.3758.47 – – – not matched report
27 MAC-SQL + GPT-4 59.5957.56 – Paper Code 2023 3 of 3 ran · 0 unverified report
28 SFT CodeS-7B 59.2557.17 – – – not matched report
29 DAIL-SQL + GPT-4 57.4154.76 – Paper Code 2023 1 of 3 ran · 2 unverified report
30 DIN-SQL + GPT-4 55.9050.72 – Paper Code 2023 0 of 4 ran · 4 unverified report
31 GPT-4 (Baseline) 54.8946.35 – Paper Code 2023 10 of 15 ran · 5 unverified report
32 Claude-2 (Baseline) 49.0242.70 – Paper Code 2023 10 of 15 ran · 5 unverified report
33 Open SQL-7B 47.7437.68 – – – not matched report
34 CoT + ChatGPT 40.0836.64 – Paper Code 2023 6 of 6 ran · 0 unverified report
35 ChatGPT (Baseline) 39.3037.22 – Paper Code 2023 6 of 6 ran · 0 unverified report
36 Codex (Baseline) 36.4734.35 – Paper Code 2023 6 of 6 ran · 0 unverified report
37 Palm-2 (Baseline) 33.0427.38 – Paper Code 2023 6 of 6 ran · 0 unverified report
38 MSc-SQL 65.6 – Paper Code 2024 9 of 9 ran · 0 unverified report
39 SFT CodeS-15B + SQLFixAgent 64.62 – – – not matched report
40 DELLM + MAC-SQL 48.92 – Paper Code 2024 2 of 3 ran · 1 unverified report
41 Human Performance 92.96 – Paper Code 2023 6 of 6 ran · 0 unverified report

All 41 rows shown. 16 link to a paper page on this site; 0 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28

Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 13 rows have a graph line, from 8 distinct papers; 12 rows (7 papers) have at least one sample that ran. Counting each paper once: Syntology ran 37 of 49 samples; 12 unverified. Separately, 11 of those 49 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-25. Per-sample status is on the paper page.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections