gold
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC LIMIT 1
- ABS(longitude)
- descending
sha256:32ca303822c371894a0c439cb44ae2e01d8fd91bdb14fe71b0a31bb8f64e4946
R-ORD GOLD-ONLY arbitrary-cut not-a-function-of-the-data
california_schools · dev_20251106-00000-of-00001 from https://huggingface.co/datasets/birdsql/bird_sql_dev_20251106/resolve/3c11fb193e5439b338e23677fa0aae11e8b85db9/data/dev_20251106-00000-of-00001.json (commit 3c11fb19, downloaded 2026-09-07)
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.
This question was audited without a prediction beside it, so there is nothing to compare the gold with. The probes below read the gold alone.
read by hand, 2026-09-07: wrong the gold does not answer its question on this data
two schools share the largest absolute longitude and offer different grade spans
a maintainer's reading of this question, out of classification.json, copied from plans/reports/bird-dev-sqlite-260907/classification.json. It is not a verdict and nothing above it was computed from it.
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC LIMIT 1
sha256:32ca303822c371894a0c439cb44ae2e01d8fd91bdb14fe71b0a31bb8f64e4946
from evidence-gold.json, 1 row
| GSofferedTEXT |
|---|
| K-8 |
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
| K-8 str | 124.28481 |
| NULL null | 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",
"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": "str",
"value": "K-8"
}
],
[
{
"type": "null",
"value": null
}
]
]
},
"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": "sha256:32ca303822c371894a0c439cb44ae2e01d8fd91bdb14fe71b0a31bb8f64e4946",
"baseline_result": {
"columns": [
{
"name": "GSoffered",
"declared_type": "TEXT"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "str",
"value": "K-8"
}
]
],
"result_hash": "sha256:32ca303822c371894a0c439cb44ae2e01d8fd91bdb14fe71b0a31bb8f64e4946"
},
"planner_statistics": {},
"shuffle": {
"seed": "1",
"row_limit": 300000,
"tables": [
"schools"
],
"tables_not_shuffled": [],
"tables_skipped_for_size": {},
"tables_not_reached_by_a_copy": {}
},
"shuffled_copies": {
"run": true,
"verdict": "not_equal",
"differs": true,
"result_hash": "sha256:bad771e0d4b9fe90e86727e3c45b5b3744ea617f13ddc3d3a2c9ab9d8aa7b3b5",
"result": {
"columns": [
{
"name": "GSoffered",
"declared_type": "NULL"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "null",
"value": null
}
]
],
"result_hash": "sha256:bad771e0d4b9fe90e86727e3c45b5b3744ea617f13ddc3d3a2c9ab9d8aa7b3b5"
}
},
"plan_variant": {
"run": false,
"reason": "the plan variant was not asked for"
}
}
this statement returns the same whole row more than once and never says DISTINCT, so a statement answering the same question once per row disagrees on multiplicity alone
{
"heuristic": true,
"rows": 1,
"distinct_rows": 1,
"repeated_rows": 0,
"largest_repeat": 1,
"result_bounded": false,
"distinct_stated": false,
"set_operation": false,
"not_applicable": "a result of fewer than two rows has nothing to repeat"
}
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC LIMIT 1
result_hash sha256:32ca303822c371894a0c439cb44ae2e01d8fd91bdb14fe71b0a31bb8f64e4946 recomputed from this JSON: match
record_hash sha256:ccbd9988cb1ddd966d37abba10e5a8eda6d95be3fc64fe04b4ed289029840ca9 recomputed from this JSON: match
from evidence-gold.json, 1 row
| GSofferedTEXT |
|---|
| K-8 |
re-run this statement read-only against SQLite 3.53.4 | file=/private/tmp/attestql-runs/data/dev/dev_databases/california_schools/california_schools.sqlite | size=11116544 under the session settings and over the data this record's fixture digest names, and compare the two results under R-ORD