gold
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC NULLS LAST LIMIT 1
- abs(longitude)
- descending, nulls last
sha256:e5b05f6120040b20ed41b69bd57d43ab4c1aed13e703a7cf08ef042e19ea7d47
R-ORD NOT_EQUAL arbitrary-cut not-a-function-of-the-data
california_schools · mini_dev_postgresql from https://bird-bench.oss-cn-beijing.aliyuncs.com/minidev.zip (sha256 cc48ba16838204e4e214512030cb572eeb5f7bcdd999bae4b9b6ff12ec13b92f, downloaded 2026-09-07), member minidev/MINIDEV/mini_dev_postgresql.json
What is the grade span offered in the school with the highest longitude?
the hint the set supplies: the highest longitude refers to the school with the maximum absolute longitude value.
NOT_EQUAL states that these two statements disagree on this data under this rule. It does not state which of them is wrong.
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC NULLS LAST LIMIT 1
sha256:e5b05f6120040b20ed41b69bd57d43ab4c1aed13e703a7cf08ef042e19ea7d47
SELECT schools.gsoffered
FROM schools
WHERE schools.longitude = (SELECT MAX(ABS(longitude)) FROM schools)
this statement states no ordering of its own
sha256:02aaa42fc4c567244991cff160202ebf158c8ff9786886c24afa1e9a6bcda303
The marked tokens are where the two texts differ. Two statements that differ everywhere can return the same rows, and two that differ in one token can return other rows; the verdict above is read off the results.
from counterexample.json, 1 row, up to 25 shown per side
| side | gsofferedtext |
|---|---|
| gold | K-8 |
from counterexample.json, 0 rows, up to 25 shown per side
| side | gsofferedtext |
|---|---|
| no rows |
set(second_rows) == set(gold_rows), float4/float8 cells as Python float as psycopg2 returns them, numeric as Decimal
https://github.com/bird-bench/mini_dev/blob/main/evaluation/evaluation_ex.py
result_eq: equal row counts and equal column counts, each row unordered as a quick rejection, then the two equal as a list when the gold text holds ORDER BY and as a multiset otherwise, under some permutation of the columns; DISTINCT is not stripped and re-executed, and the cells are PostgreSQL's as psycopg2 returns them
ruiqi-zhong/test-suite-sql-eval, exec_eval.py, result_eq, at commit 48cb78ec: https://github.com/ruiqi-zhong/test-suite-sql-eval/blob/48cb78ecf7f610620206283846c76751b18a1326/exec_eval.py
The class states what makes these two results unequal under this rule, read off the two results and nothing else. It does not state which of the two statements is wrong.
from counterexample.json, 1 row
| gsofferedtext |
|---|
| K-8 |
from counterexample.json, 0 rows
| gsofferedtext |
|---|
| no rows |
A smell is a mechanical reason to read this gold statement again. It is a heuristic: it does not state that the statement is wrong, and a maintainer decides.
this statement orders by a text column holding only numbers, and ordering it as a number gives a different answer, so the gold may be sorting 9.5 above 10
no ORDER BY key resolves to a text column
{
"heuristic": true,
"reason": "no ORDER BY key resolves to a text column",
"keys": [
{
"key": "abs(longitude)",
"not_applicable": "the key is an expression and not a column"
}
]
}
this statement cuts its result at a LIMIT that does not decide which rows come back, so a different but equally correct statement can return other rows and score zero
from smells.json, 2 rows
| NULL null | 124.28481 |
| K-8 str | 124.28481 |
{
"heuristic": true,
"cut": 1,
"offset": 0,
"distinct_kept": false,
"unbounded_sql": "SELECT gsoffered, abs(longitude) AS attestql_ordering_key_0 FROM schools ORDER BY abs(longitude) DESC NULLS LAST",
"unbounded_rows": 17686,
"projected_columns": [
"gsoffered"
],
"ordering_key_columns": [
"attestql_ordering_key_0"
],
"ordering_keys": [
{
"key": "abs(longitude)",
"direction": "desc",
"nulls": "last",
"nulls_first_in_effect": false,
"returned_rows_null_in_this_key": 0,
"fires": false
}
],
"tied_at_the_cut": {
"positions": [
0,
1
],
"tied_rows": 2,
"distinct_projected_answers": 2,
"rows": [
[
{
"type": "null",
"value": null
}
],
[
{
"type": "str",
"value": "K-8"
}
]
]
},
"case": "tie-at-the-cut"
}
rerun over the same rows in another physical order this statement gives another answer, so its result depends on how the rows are stored and not only on the data
from smells.json, 1 row
| NULL |
{
"heuristic": true,
"rule": "R-ORD",
"baseline_result_hash": "sha256:e5b05f6120040b20ed41b69bd57d43ab4c1aed13e703a7cf08ef042e19ea7d47",
"baseline_result": {
"columns": [
{
"name": "gsoffered",
"declared_type": "text"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "str",
"value": "K-8"
}
]
],
"result_hash": "sha256:e5b05f6120040b20ed41b69bd57d43ab4c1aed13e703a7cf08ef042e19ea7d47"
},
"planner_statistics": {
"schools": {
"last_analyze": null,
"last_autoanalyze": "2026-09-08 05:19:52.240861+00",
"n_mod_since_analyze": 0
}
},
"shuffle": {
"seed": "1",
"row_limit": 300000,
"tables": [
"schools"
],
"tables_not_shuffled": [],
"tables_skipped_for_size": {
"laptimes": 400524,
"legalities": 427907,
"posthistory": 303155,
"trans": 1056320,
"yearmonth": 383282
},
"tables_not_reached_by_a_copy": {}
},
"shuffled_copies": {
"run": true,
"verdict": "not_equal",
"differs": true,
"result_hash": "sha256:1b829aa0402048b9ccec3257a9a9e927eac486dca1c336deed2139fe0fc7f3da",
"result": {
"columns": [
{
"name": "gsoffered",
"declared_type": "text"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "null",
"value": null
}
]
],
"result_hash": "sha256:1b829aa0402048b9ccec3257a9a9e927eac486dca1c336deed2139fe0fc7f3da"
}
},
"plan_variant": {
"run": false,
"reason": "the plan variant was not asked for"
}
}
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC NULLS LAST LIMIT 1
result_hash sha256:e5b05f6120040b20ed41b69bd57d43ab4c1aed13e703a7cf08ef042e19ea7d47 recomputed from this JSON: match
record_hash sha256:3d3b791cbed05b017b39f93db009416a75db4fc882f4fee103ba7cbe62fa625b recomputed from this JSON: match
from evidence-gold.json, 1 row
| gsofferedtext |
|---|
| K-8 |
SELECT schools.gsoffered
FROM schools
WHERE schools.longitude = (SELECT MAX(ABS(longitude)) FROM schools)
result_hash sha256:02aaa42fc4c567244991cff160202ebf158c8ff9786886c24afa1e9a6bcda303 recomputed from this JSON: match
record_hash sha256:395337ccf9d3fa9849bc25e626bc3a5657e96ccc63a05c16d38e3c1623be20f2 recomputed from this JSON: match
from evidence-second.json, 0 rows
| gsofferedtext |
|---|
| no rows |
re-run this statement read-only against PostgreSQL 16.15 (Debian 16.15-1.pgdg13+2) on aarch64-unknown-linux-gnu, compiled by gcc (Debian 14.2.0-19) 14.2.0, 64-bit | server=172.17.0.2/32:5432 | database=bird under the session settings and over the data this record's fixture digest names, and compare the two results under R-ORD
re-run this statement read-only against PostgreSQL 16.15 (Debian 16.15-1.pgdg13+2) on aarch64-unknown-linux-gnu, compiled by gcc (Debian 14.2.0-19) 14.2.0, 64-bit | server=172.17.0.2/32:5432 | database=bird under the session settings and over the data this record's fixture digest names, and compare the two results under R-ORD