Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
cases: int64
models: list<item: struct<judge: string, model: string>>
child 0, item: struct<judge: string, model: string>
child 0, judge: string
child 1, model: string
system_sha256: string
prompt: string
cap_usd: double
max_attempts_per_case_model: int64
reused_votes: list<item: null>
child 0, item: null
new_cost_usd: double
packets: struct<4f6fc4228128df4c9a9f39df70f11abbe5f2a0e87855d89fd4349390edc5b1e0: struct<pair_key: string, pa (... 46654 chars omitted)
child 0, 4f6fc4228128df4c9a9f39df70f11abbe5f2a0e87855d89fd4349390edc5b1e0: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 1, 48c6f39597cb3d8fab21a74aea64b47df7142879db5dfa21ee7effd244d16c75: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 2, a64df0088362a4bde4ba5fa69bf0222888827c184464e90d8b05ca6636299694: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 3, 7a8422d49340a9c4b4d8fbd76a6df006bb763a1144e75be62f3ee4ea275cdea2: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 4, 7fbfe5bc147374a70c293a4e8d5cf98123d1b9ca9e012d4af7996feea64265a2: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 5, faa385216cfdd8ae91b67cce2ef17
...
_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 398, f21cfa380ad8db8fa2fc8b457fb4acd25ada51984c73286446efc399aa8e1837: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 399, 29d76008bed847b6770f761bd9db54216bb20b99cc3c9bac66ed0edab20f8a3c: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 400, d175def6ce7b9c029aa80c05e1aa1371c244025da79ad6fc45d03ad03a02408c: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 401, 7d31fb5a686605a4248ce6bb382f64d1875cb2c8f4e960691221618ae3203cbe: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 402, d9626d3c6a6c143e58827c44ff4ed7de13546514e8359f4ccdfcdd081ed69813: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
gold_empty: bool
label_source: string
ds: string
step: int64
case_id: string
question_id: string
set_match: bool
pred_sql: string
rollout_row_index: int64
core_training_verdict: string
judge_key: string
votes: list<item: string>
child 0, item: string
db: string
sample_id: int64
pair_key: string
gold_sql: string
label: string
gold_all_null: bool
bag_match: bool
semantic: string
label_set: string
original_status: string
to
{'case_id': Value('string'), 'question_id': Value('string'), 'ds': Value('string'), 'db': Value('string'), 'rollout_row_index': Value('int64'), 'pair_key': Value('string'), 'step': Value('int64'), 'sample_id': Value('int64'), 'gold_sql': Value('string'), 'pred_sql': Value('string'), 'original_status': Value('string'), 'bag_match': Value('bool'), 'set_match': Value('bool'), 'gold_empty': Value('bool'), 'gold_all_null': Value('bool'), 'judge_key': Value('string'), 'core_training_verdict': Value('string'), 'votes': List(Value('string')), 'semantic': Value('string'), 'label': Value('string'), 'label_set': Value('string'), 'label_source': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
cases: int64
models: list<item: struct<judge: string, model: string>>
child 0, item: struct<judge: string, model: string>
child 0, judge: string
child 1, model: string
system_sha256: string
prompt: string
cap_usd: double
max_attempts_per_case_model: int64
reused_votes: list<item: null>
child 0, item: null
new_cost_usd: double
packets: struct<4f6fc4228128df4c9a9f39df70f11abbe5f2a0e87855d89fd4349390edc5b1e0: struct<pair_key: string, pa (... 46654 chars omitted)
child 0, 4f6fc4228128df4c9a9f39df70f11abbe5f2a0e87855d89fd4349390edc5b1e0: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 1, 48c6f39597cb3d8fab21a74aea64b47df7142879db5dfa21ee7effd244d16c75: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 2, a64df0088362a4bde4ba5fa69bf0222888827c184464e90d8b05ca6636299694: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 3, 7a8422d49340a9c4b4d8fbd76a6df006bb763a1144e75be62f3ee4ea275cdea2: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 4, 7fbfe5bc147374a70c293a4e8d5cf98123d1b9ca9e012d4af7996feea64265a2: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 5, faa385216cfdd8ae91b67cce2ef17
...
_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 398, f21cfa380ad8db8fa2fc8b457fb4acd25ada51984c73286446efc399aa8e1837: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 399, 29d76008bed847b6770f761bd9db54216bb20b99cc3c9bac66ed0edab20f8a3c: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 400, d175def6ce7b9c029aa80c05e1aa1371c244025da79ad6fc45d03ad03a02408c: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 401, 7d31fb5a686605a4248ce6bb382f64d1875cb2c8f4e960691221618ae3203cbe: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
child 402, d9626d3c6a6c143e58827c44ff4ed7de13546514e8359f4ccdfcdd081ed69813: struct<pair_key: string, payload_sha256: string>
child 0, pair_key: string
child 1, payload_sha256: string
gold_empty: bool
label_source: string
ds: string
step: int64
case_id: string
question_id: string
set_match: bool
pred_sql: string
rollout_row_index: int64
core_training_verdict: string
judge_key: string
votes: list<item: string>
child 0, item: string
db: string
sample_id: int64
pair_key: string
gold_sql: string
label: string
gold_all_null: bool
bag_match: bool
semantic: string
label_set: string
original_status: string
to
{'case_id': Value('string'), 'question_id': Value('string'), 'ds': Value('string'), 'db': Value('string'), 'rollout_row_index': Value('int64'), 'pair_key': Value('string'), 'step': Value('int64'), 'sample_id': Value('int64'), 'gold_sql': Value('string'), 'pred_sql': Value('string'), 'original_status': Value('string'), 'bag_match': Value('bool'), 'set_match': Value('bool'), 'gold_empty': Value('bool'), 'gold_all_null': Value('bool'), 'judge_key': Value('string'), 'core_training_verdict': Value('string'), 'votes': List(Value('string')), 'semantic': Value('string'), 'label': Value('string'), 'label_set': Value('string'), 'label_source': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
case_id string | question_id string | ds string | db string | rollout_row_index int64 | pair_key string | step int64 | sample_id int64 | gold_sql string | pred_sql string | original_status string | bag_match bool | set_match bool | gold_empty bool | gold_all_null bool | judge_key string | core_training_verdict string | votes list | semantic string | label string | label_set string | label_source string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bird_q000_r0 | bird/ice_hockey_draft/6916 | bird | ice_hockey_draft | 175,487 | 638697ce1aa6d5d0d23895a6f88b9fdb07bbece44cdbb74b384ce40ddfe63784 | 7,423 | 6,916 | SELECT DISTINCT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '6''2"' | SELECT p.PlayerName
FROM PlayerInfo p
JOIN height_info h ON p.height = h.height_id
WHERE h.height_in_inch > '6''2"'; | original_mismatch | false | true | false | false | 4f6fc4228128df4c9a9f39df70f11abbe5f2a0e87855d89fd4349390edc5b1e0 | accept | [
"no",
"no",
"no"
] | wrong | non_spurious | spurious | mechanical: original_mismatch |
bird_q000_r1 | bird/ice_hockey_draft/6916 | bird | ice_hockey_draft | 175,458 | 4e164d25680eb2e9ca376dd3123146049a1918e5cc75900c5f2ff7674f0cae21 | 7,423 | 6,916 | SELECT DISTINCT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '6''2"' | SELECT pi.PlayerName
FROM PlayerInfo pi
JOIN height_info hi ON pi.height = hi.height_id
WHERE hi.height_in_inch > '6''2"'; | original_mismatch | false | true | false | false | 48c6f39597cb3d8fab21a74aea64b47df7142879db5dfa21ee7effd244d16c75 | accept | [
"no",
"yes",
"no"
] | wrong | non_spurious | spurious | mechanical: original_mismatch |
bird_q000_r2 | bird/ice_hockey_draft/6916 | bird | ice_hockey_draft | 175,468 | fa6925489772bd8a9eaa64b5d22a572baf87331118d7f30ef030db88d805b324 | 7,423 | 6,916 | SELECT DISTINCT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '6''2"' | SELECT p.PlayerName
FROM PlayerInfo p
JOIN height_info hi ON p.height = hi.height_id
WHERE hi.height_in_inch > '6''2"'; | original_mismatch | false | true | false | false | a64df0088362a4bde4ba5fa69bf0222888827c184464e90d8b05ca6636299694 | accept | [
"no",
"no",
"no"
] | wrong | non_spurious | spurious | mechanical: original_mismatch |
bird_q000_r3 | bird/ice_hockey_draft/6916 | bird | ice_hockey_draft | 175,467 | 5687dba84d5a05dcd7a4e6464eea7632225cb6400e753b8beb0230110778e738 | 7,423 | 6,916 | SELECT DISTINCT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '6''2"' | SELECT pi.PlayerName
FROM PlayerInfo AS pi
JOIN height_info AS hi ON pi.height = hi.height_id
WHERE hi.height_in_inch > '6''2"'; | original_mismatch | false | true | false | false | 7a8422d49340a9c4b4d8fbd76a6df006bb763a1144e75be62f3ee4ea275cdea2 | accept | [
"no",
"no",
"no"
] | wrong | non_spurious | spurious | mechanical: original_mismatch |
bird_q001_r0 | bird/hockey/7770 | bird | hockey | 75,573 | 3828d1df000082a2061c4fd7108dd53cdee1bf22d983ab83b80845fc31d05bff | 4,361 | 7,770 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthCountry = 'USA' | SELECT COUNT(*)
FROM Master m
JOIN Coaches c ON m.coachID = c.coachID
JOIN Teams t ON c.tmID = t.tmID
WHERE m.birthCountry = 'USA'
AND t.name = 'Philadelphia Flyers'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q001_r1 | bird/hockey/7770 | bird | hockey | 75,564 | dccf620ab41115b5ed63599e510c8033d47ca0d98402be0d1dcdf978cd295948 | 4,361 | 7,770 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthCountry = 'USA' | SELECT COUNT(*) AS coach_count
FROM Master m
JOIN Coaches c ON m.coachID = c.coachID
JOIN Teams t ON c.tmID = t.tmID
WHERE m.birthCountry = 'USA'
AND t.name = 'Philadelphia Flyers'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q001_r2 | bird/hockey/7770 | bird | hockey | 75,570 | cc19785d15ea073a7fe2d88dee871acb185d58b1027aeec5230f2cbee2470f0c | 4,361 | 7,770 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthCountry = 'USA' | SELECT COUNT(*)
FROM Coaches c
JOIN Teams t ON c.tmID = t.tmID
JOIN Master m ON c.coachID = m.coachID
WHERE m.birthCountry = 'USA'
AND t.name = 'Philadelphia Flyers'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q001_r3 | bird/hockey/7770 | bird | hockey | 75,560 | fedc1267953436924dd4f64fe840546e1bc24cae2020bdac85e3ffc8f8077ef2 | 4,361 | 7,770 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthCountry = 'USA' | SELECT COUNT(*) FROM Master m JOIN Coaches c ON m.coachID = c.coachID JOIN Teams t ON c.tmID = t.tmID WHERE m.birthCountry = 'USA' AND t.name = 'Philadelphia Flyers'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q002_r0 | bird/professional_basketball/2815 | bird | professional_basketball | 79,920 | 85cc0daf12aeb409f445f81048df38901264de84f6baecfef38bbe08bc027db1 | 4,497 | 2,815 | SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE CAST(d_rebounds AS REAL) * 100 / rebounds > 75 AND season_id BETWEEN 1990 AND 2007 | SELECT COUNT(*) FROM players_teams WHERE year BETWEEN 1990 AND 2007 AND (dRebounds * 100.0 / rebounds) > 75 | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q002_r1 | bird/professional_basketball/2815 | bird | professional_basketball | 79,935 | 0c7e95a507db5f19e959052266cd430afe37f3b2db7a8ebacfc4cf43c20e52fc | 4,497 | 2,815 | SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE CAST(d_rebounds AS REAL) * 100 / rebounds > 75 AND season_id BETWEEN 1990 AND 2007 | SELECT COUNT(*) FROM players_teams pt WHERE pt.year BETWEEN 1990 AND 2007 AND (pt.dRebounds * 100.0 / pt.rebounds) > 75; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q002_r2 | bird/professional_basketball/2815 | bird | professional_basketball | 79,910 | bdd33949f59bc1f01b8cffb5d246b74965e1151d35573fb0d0e7f2950f46dd85 | 4,497 | 2,815 | SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE CAST(d_rebounds AS REAL) * 100 / rebounds > 75 AND season_id BETWEEN 1990 AND 2007 | SELECT COUNT(*) FROM players_teams pt WHERE pt.year BETWEEN 1990 AND 2007 AND pt.rebounds > 0 AND 100.0 * pt.dRebounds / pt.rebounds > 75; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q002_r3 | bird/professional_basketball/2815 | bird | professional_basketball | 79,934 | 3c33b60ef9bae68f7f5cec7de296be5596d5ca3edc16b7672e3a2e7bbf751c16 | 4,497 | 2,815 | SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE CAST(d_rebounds AS REAL) * 100 / rebounds > 75 AND season_id BETWEEN 1990 AND 2007 | SELECT COUNT(*) FROM players_teams pt
JOIN teams t ON pt.year = t.year
WHERE pt.year BETWEEN 1990 AND 2007
AND (pt.dRebounds * 100.0 / pt.rebounds) > 75; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q003_r0 | bird/olympics/5039 | bird | olympics | 24,583 | 1d81d75ae200650c5697317360401ab5f03b352fae6a85df42bccc46f7ae9cf6 | 2,768 | 5,039 | SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30 | SELECT COUNT(*) FROM games_competitor gc JOIN games g ON gc.games_id = g.id WHERE gc.age < 30 AND g.season = 'Summer'; | original_match | true | true | false | false | 7fbfe5bc147374a70c293a4e8d5cf98123d1b9ca9e012d4af7996feea64265a2 | accept | [
"yes",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['yes', 'no', 'no'] |
bird_q003_r1 | bird/olympics/5039 | bird | olympics | 24,594 | 1d81d75ae200650c5697317360401ab5f03b352fae6a85df42bccc46f7ae9cf6 | 2,768 | 5,039 | SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30 | SELECT COUNT(*) FROM games_competitor gc JOIN games g ON gc.games_id = g.id WHERE gc.age < 30 AND g.season = 'Summer'; | original_match | true | true | false | false | 7fbfe5bc147374a70c293a4e8d5cf98123d1b9ca9e012d4af7996feea64265a2 | accept | [
"yes",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['yes', 'no', 'no'] |
bird_q003_r2 | bird/olympics/5039 | bird | olympics | 24,596 | 1d81d75ae200650c5697317360401ab5f03b352fae6a85df42bccc46f7ae9cf6 | 2,768 | 5,039 | SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30 | SELECT COUNT(*) FROM games_competitor gc JOIN games g ON gc.games_id = g.id WHERE gc.age < 30 AND g.season = 'Summer'; | original_match | true | true | false | false | 7fbfe5bc147374a70c293a4e8d5cf98123d1b9ca9e012d4af7996feea64265a2 | accept | [
"yes",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['yes', 'no', 'no'] |
bird_q003_r3 | bird/olympics/5039 | bird | olympics | 24,576 | 32121a93c98a1f3f25d470eee5a4d802d07dddc123538879c88ba9c35e7be88e | 2,768 | 5,039 | SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30 | SELECT COUNT(*) FROM games_competitor AS gc JOIN games AS g ON gc.games_id = g.id WHERE gc.age < 30 AND g.season = 'Summer'; | original_match | true | true | false | false | faa385216cfdd8ae91b67cce2ef17824b4ac895b5b277754a9baad1a5715da3a | accept | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q004_r0 | bird/address/5176 | bird | address | 69,033 | a252eb71f972f4aec9323cdcbf3479fda87a2170bae222c451d72e04169ee4d3 | 4,157 | 5,176 | SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California' | SELECT 100.0 * SUM(CASE WHEN zd.type = 'Post Office' THEN 1 ELSE 0 END) / COUNT(*)
FROM zip_data AS zd
JOIN state AS s ON zd.state = s.abbreviation
WHERE s.name = 'California'; | original_match | true | true | false | false | 81231a237772b5595d18d0e050a84a403e181456947bb2b6943c7b7f10d4f444 | accept | [
"yes",
"yes",
"no"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'no'] |
bird_q004_r1 | bird/address/5176 | bird | address | 69,041 | ffbb6223013a49bec565d8b24920a1453e1066a5f237c842ccb3393b8a17c47b | 4,157 | 5,176 | SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California' | SELECT 100.0 * SUM(CASE WHEN zd.type = 'Post Office' THEN 1 ELSE 0 END) / COUNT(*) AS percentage
FROM zip_data zd
JOIN state s ON zd.state = s.abbreviation
WHERE s.name = 'California'; | original_match | true | true | false | false | b9b8d94b5ad148dd42ff6d72f931c8c8a97915dabb07b7c041bbbe004dc8f249 | accept | [
"yes",
"yes",
"no"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'no'] |
bird_q004_r2 | bird/address/5176 | bird | address | 69,028 | 700f9e7fe63d57399891c57480418b6f03bf1be738feeaaf3cd3ffc08f4d10e7 | 4,157 | 5,176 | SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California' | SELECT 100.0 * SUM(CASE WHEN z.type = 'Post Office' THEN 1 ELSE 0 END) / COUNT(*) AS percentage
FROM zip_data z
JOIN state s ON z.state = s.abbreviation
WHERE s.name = 'California'; | original_match | true | true | false | false | c1502732be0cd1e43454900cdcff8675c32a9fcc9248b0efc8e8340815b891e3 | accept | [
"yes",
"no",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'no', 'yes'] |
bird_q004_r3 | bird/address/5176 | bird | address | 69,040 | ffbb6223013a49bec565d8b24920a1453e1066a5f237c842ccb3393b8a17c47b | 4,157 | 5,176 | SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California' | SELECT 100.0 * SUM(CASE WHEN zd.type = 'Post Office' THEN 1 ELSE 0 END) / COUNT(*) AS percentage
FROM zip_data zd
JOIN state s ON zd.state = s.abbreviation
WHERE s.name = 'California'; | original_match | true | true | false | false | b9b8d94b5ad148dd42ff6d72f931c8c8a97915dabb07b7c041bbbe004dc8f249 | accept | [
"yes",
"yes",
"no"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'no'] |
bird_q005_r0 | bird/soccer_2016/1966 | bird | soccer_2016 | 192,765 | 14a5228432fc2d0d844a749a8376c8814a5f0490a2b9cfbdaa8d5eed61969fbd | 7,963 | 1,966 | SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20 | SELECT Batsman_Scored.Ball_Id, Batsman_Scored.Runs_Scored, Batsman_Scored.Innings_No
FROM Batsman_Scored
JOIN Match ON Batsman_Scored.Match_Id = Match.Match_Id
WHERE Batsman_Scored.Over_Id = 20
AND Batsman_Scored.Match_Id = 335988; | original_match | true | true | false | false | 4444468fe52e58f87232692ab7ad6f46c204b305c08f18f9603628d22507b9c8 | accept | [
"yes",
"no",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'no', 'yes'] |
bird_q005_r1 | bird/soccer_2016/1966 | bird | soccer_2016 | 192,736 | 3d5bd5decc2251c249840769981fbbe13c871baa66d969c0aaabf0815f67c4dd | 7,963 | 1,966 | SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20 | SELECT Ball_Id, Runs_Scored, Innings_No
FROM Batsman_Scored
WHERE Over_Id = 20
AND Match_Id = 335988; | original_match | true | true | false | false | f4a228d4b5d94987b90c91e5400d14440985041dd05f069306d86e61ac047aa8 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q005_r2 | bird/soccer_2016/1966 | bird | soccer_2016 | 192,760 | 6624da1ef1502c4e1be97422ec0fadc5d1c93c704bd84255320314652d4071b3 | 7,963 | 1,966 | SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20 | SELECT Ball_Id, Runs_Scored, Innings_No
FROM Batsman_Scored
WHERE Match_Id = 335988
AND Over_Id = 20; | original_match | true | true | false | false | 14811f8108e20166972f02d8461fa024b4a05acbe155df186ec9852444437639 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q005_r3 | bird/soccer_2016/1966 | bird | soccer_2016 | 192,750 | 4618047366ccb53ad579142b319a7e39589e3a6f0260ec1db828f348bf6c64f0 | 7,963 | 1,966 | SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20 | SELECT Ball_Id, Runs_Scored, Innings_No
FROM Batsman_Scored
WHERE Match_Id = 335988 AND Over_Id = 20; | original_match | true | true | false | false | a72edf8a60e4a52e156f015f70ff892b3e4ed684623ae9f4d51bfb296a921cbb | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q006_r0 | bird/public_review_platform/4037 | bird | public_review_platform | 27,045 | 04cb5aa7e386c64f3fe0901c0b2b282642b6ff5a6d957bbebcb08f80c2571c8d | 2,845 | 4,037 | SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber' | SELECT COUNT(*) FROM Reviews WHERE review_votes_funny = 'Uber'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q006_r1 | bird/public_review_platform/4037 | bird | public_review_platform | 27,071 | 1f01e3566efd472c67ac36252e6d7b2515e46e599e92052a43d4f8a549d19a92 | 2,845 | 4,037 | SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber' | SELECT COUNT(*) FROM Reviews r JOIN Users u ON r.user_id = u.user_id WHERE r.review_votes_funny = 'Uber'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q006_r2 | bird/public_review_platform/4037 | bird | public_review_platform | 27,063 | 6c2f191043c87eefcf76082b1ff9ba89dcb559b53dda5f4b109c9b9571d5e781 | 2,845 | 4,037 | SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber' | SELECT COUNT(*) FROM Reviews JOIN Users ON Reviews.user_id = Users.user_id WHERE Reviews.review_votes_funny = 'Uber'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q006_r3 | bird/public_review_platform/4037 | bird | public_review_platform | 27,054 | c3b4afe59f5390697b0afc65c50c69912676487aff6d612a1b577ad39ca8528a | 2,845 | 4,037 | SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber' | SELECT COUNT(*)
FROM Users u
JOIN Reviews r ON r.user_id = u.user_id
WHERE r.review_votes_funny = 'Uber'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q007_r0 | bird/movie_platform/20 | bird | movie_platform | 92,512 | 1c2e483489b83cb0522affad51964908f5cf84f5c93fa8b55534cefebfca02df | 4,831 | 20 | SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg' | SELECT movies.movie_title, movies.movie_popularity
FROM movies
WHERE movies.movie_release_year = 2021
AND movies.director_name = 'Steven Spielberg'
ORDER BY movies.movie_title; | original_match | true | true | false | false | 3df2134916c639a91d9196618c0961ed6d6bef6c1ca974a4e42c208606b8a472 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q007_r1 | bird/movie_platform/20 | bird | movie_platform | 92,529 | 8dbb888ac49c9855bb4f11495324313737f6dedd8fb8672412131f49abdf0684 | 4,831 | 20 | SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg' | SELECT m.movie_title, m.movie_popularity
FROM movies m
WHERE m.movie_release_year = 2021
AND m.director_name LIKE '%Steven Spielberg%'; | original_match | true | true | false | false | 26acf01fbd8cd7643851cb8b704a95b679e16636eb991d56bb407349dc53b42b | accept | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q007_r2 | bird/movie_platform/20 | bird | movie_platform | 92,518 | ff63964185083f4bdaf5a085519a5abd90ca97bd4b1512cc4517106f006113d9 | 4,831 | 20 | SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg' | SELECT m.movie_title, m.movie_popularity
FROM movies m
WHERE m.movie_release_year = 2021
AND m.director_name = 'Steven Spielberg'; | original_match | true | true | false | false | 5662f92e126532806357bb559a835714c31acea01f8645c720dcb666c2837ed7 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q007_r3 | bird/movie_platform/20 | bird | movie_platform | 92,530 | 41902335a8fa99b7383d53fbf3bbc12c81d76c30bdbb99fbc7525e6eb8d336af | 4,831 | 20 | SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg' | SELECT m.movie_popularity, m.movie_title
FROM movies m
WHERE m.movie_release_year = 2021
AND m.director_name = 'Steven Spielberg'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q008_r0 | bird/movie_3/9110 | bird | movie_3 | 110,767 | 50b5dee4a0b49baf383043c7939e3e0b6f2090ba35c81e7dc969072e046b02f7 | 5,401 | 9,110 | SELECT title FROM ( SELECT title, COUNT(special_features) AS num FROM film GROUP BY title ) AS T ORDER BY T.num > 2 | SELECT title
FROM film
WHERE LENGTH(special_features) - LENGTH(REPLACE(special_features, ',', '')) > 2; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q008_r1 | bird/movie_3/9110 | bird | movie_3 | 110,762 | 1a156cfb772e2bd4ae5f8b996a253a76796f5d1612aa9177ee63b6bc211873e8 | 5,401 | 9,110 | SELECT title FROM ( SELECT title, COUNT(special_features) AS num FROM film GROUP BY title ) AS T ORDER BY T.num > 2 | SELECT title
FROM film
WHERE special_features LIKE '%,%,%' AND LENGTH(special_features) > 2; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q008_r2 | bird/movie_3/9110 | bird | movie_3 | 110,774 | e6eec9228108435b8437273d514807087a647ebcff12ae3808fc0e80aaed7c83 | 5,401 | 9,110 | SELECT title FROM ( SELECT title, COUNT(special_features) AS num FROM film GROUP BY title ) AS T ORDER BY T.num > 2 | SELECT title FROM film WHERE special_features LIKE '%,%' HAVING COUNT(*) > 2; | unknown_prediction_execution | false | null | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: unknown_prediction_execution |
bird_q008_r3 | bird/movie_3/9110 | bird | movie_3 | 110,758 | 3d8fef6e124fecec1ee98e7513cc75e0131126e2f894fc515249ae6c44d326b7 | 5,401 | 9,110 | SELECT title FROM ( SELECT title, COUNT(special_features) AS num FROM film GROUP BY title ) AS T ORDER BY T.num > 2 | SELECT title
FROM film
WHERE special_features IS NOT NULL
AND LENGTH(special_features) > 0
AND (
SELECT COUNT(*)
FROM string_to_array(film.special_features, ',')
) > 2; | unknown_prediction_execution | false | null | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: unknown_prediction_execution |
bird_q009_r0 | bird/synthea/1384 | bird | synthea | 74,101 | bae1efcde39bd431f4a12ecb3b70e6385533a8ea118937f19f1ea623fc60cf93 | 4,315 | 1,384 | SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test' | SELECT pr.DATE
FROM procedures pr
JOIN patients p ON pr.PATIENT = p.patient
WHERE pr.DESCRIPTION = 'Standard pregnancy test'
AND p.first = 'Ira'
AND p.last = 'Deckow'
AND p.prefix = 'Mrs.'; | original_match | true | true | false | false | 5d96fd906a5540ae6ba762d0fc1668f15b9cceace1649c8b1d50fda494318796 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q009_r1 | bird/synthea/1384 | bird | synthea | 74,094 | 01396ecfbbc966dc79d7d9668ba12fef68c691c49fac79ab603479a34ed11198 | 4,315 | 1,384 | SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test' | SELECT p.DATE
FROM procedures AS p
JOIN patients AS pt ON p.PATIENT = pt.patient
WHERE p.DESCRIPTION = 'Standard pregnancy test'
AND pt.first = 'Ira'
AND pt.last = 'Deckow'
AND pt.prefix = 'Mrs.'; | original_match | true | true | false | false | f671011a17b1e75219acf73f78b0ec5f2c88562f9e311631dc599ba596acb788 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q009_r2 | bird/synthea/1384 | bird | synthea | 74,093 | da81b7eac40f6a4d5f5b64c423e8f8312d0f64b5a45badb07acc14f12a116dd1 | 4,315 | 1,384 | SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test' | SELECT p.birthdate, p.first, p.last, p.prefix, pr.DATE, pr.DESCRIPTION
FROM patients p
JOIN procedures pr ON pr.PATIENT = p.patient
WHERE p.first = 'Ira'
AND p.last = 'Deckow'
AND pr.DESCRIPTION = 'Standard pregnancy test'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q009_r3 | bird/synthea/1384 | bird | synthea | 74,110 | 059de2112aa3ebe88821ddbcc4066f7af175d1235c04333a7e90cc14d1b2fdf7 | 4,315 | 1,384 | SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test' | SELECT p.birthdate, pr.DATE
FROM patients AS p
JOIN procedures AS pr ON pr.PATIENT = p.patient
WHERE p.prefix = 'Mr.'
AND p.first = 'Ira'
AND p.last = 'Deckow'
AND pr.DESCRIPTION = 'Standard pregnancy test'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q010_r0 | bird/hockey/7769 | bird | hockey | 123,398 | f2e580a47ff1931f74f6d6df16f2f81fb6ef4092d14d459c7d1adbd080f2dad0 | 5,796 | 7,769 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthMon = 3 | SELECT COUNT(*) FROM Coaches c JOIN Teams t ON c.tmID = t.tmID JOIN Master m ON m.coachID = c.coachID WHERE t.name = 'Philadelphia Flyers' AND m.birthMon = '3'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q010_r1 | bird/hockey/7769 | bird | hockey | 123,409 | ed9050dd61c95764a9aeaa8a044957a89c7d1f5315a04525bd26873bd07860e6 | 5,796 | 7,769 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthMon = 3 | SELECT COUNT(*)
FROM Master m
JOIN Coaches c ON m.coachID = c.coachID
JOIN Teams t ON c.tmID = t.tmID
WHERE t.name = 'Philadelphia Flyers' AND m.birthMon = '3'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q010_r2 | bird/hockey/7769 | bird | hockey | 123,418 | 39731f2dbe50a5d267246856c57f5acdc2358cdaa436919a0a2426be5b33d50f | 5,796 | 7,769 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthMon = 3 | SELECT COUNT(*) FROM Coaches AS c
JOIN Teams AS t ON c.tmID = t.tmID AND c.year = t.year
JOIN Master AS m ON m.coachID = c.coachID
WHERE t.name = 'Philadelphia Flyers' AND m.birthMon = '3'; | original_match | true | true | false | false | 5bcd48d9451e8c3281eb5ba17a25145fd1b936b714a13abc4e4bcdab125c8404 | refuse | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q010_r3 | bird/hockey/7769 | bird | hockey | 123,399 | 20be390ed47e538699cdefcf5dd5864affca03ef5497f5552db33b3fdadfb907 | 5,796 | 7,769 | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthMon = 3 | SELECT COUNT(*) AS march_birth_count
FROM Coaches c
JOIN Teams t ON c.tmID = t.tmID AND c.year = t.year
JOIN Master m ON m.coachID = c.coachID
WHERE t.name = 'Philadelphia Flyers' AND m.birthMon = '3'; | original_match | true | true | false | false | 58b3452df37a206374b3dd2181eac4bc6e2ec158d6318128395229c79ed7dfd7 | refuse | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q011_r0 | bird/movie_3/9263 | bird | movie_3 | 202,559 | e9268e5e9b96689c14cddf7f9a8fa2d55ae59d25d5ce7ca63eb84a020fc91a63 | 8,269 | 9,263 | SELECT SUM(amount) FROM payment WHERE payment_date LIKE '2005-08%' | SELECT COUNT(*) FROM payment WHERE payment_date LIKE '2005-08%'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q011_r1 | bird/movie_3/9263 | bird | movie_3 | 202,542 | e9268e5e9b96689c14cddf7f9a8fa2d55ae59d25d5ce7ca63eb84a020fc91a63 | 8,269 | 9,263 | SELECT SUM(amount) FROM payment WHERE payment_date LIKE '2005-08%' | SELECT COUNT(*) FROM payment WHERE payment_date LIKE '2005-08%'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q011_r2 | bird/movie_3/9263 | bird | movie_3 | 202,529 | e9268e5e9b96689c14cddf7f9a8fa2d55ae59d25d5ce7ca63eb84a020fc91a63 | 8,269 | 9,263 | SELECT SUM(amount) FROM payment WHERE payment_date LIKE '2005-08%' | SELECT COUNT(*) FROM payment WHERE payment_date LIKE '2005-08%'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q011_r3 | bird/movie_3/9263 | bird | movie_3 | 202,549 | e9268e5e9b96689c14cddf7f9a8fa2d55ae59d25d5ce7ca63eb84a020fc91a63 | 8,269 | 9,263 | SELECT SUM(amount) FROM payment WHERE payment_date LIKE '2005-08%' | SELECT COUNT(*) FROM payment WHERE payment_date LIKE '2005-08%'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q012_r0 | bird/human_resources/8979 | bird | human_resources | 17,971 | 5fa8e1c8e141b90868d0e9da74c91c4dcb14e3a1cbd92fd870e326e1843dc249 | 2,561 | 8,979 | SELECT maxsalary FROM position WHERE positiontitle = 'Trainee' | SELECT maxsalary FROM position WHERE positiontitle = 'Trainer'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q012_r1 | bird/human_resources/8979 | bird | human_resources | 17,981 | b8c5577a3505863f587b89539d7ece20c188f09357946c3674a8a5501e00fca0 | 2,561 | 8,979 | SELECT maxsalary FROM position WHERE positiontitle = 'Trainee' | SELECT MAXsalary FROM position WHERE positiontitle = 'Trainer'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q012_r2 | bird/human_resources/8979 | bird | human_resources | 17,955 | 5fa8e1c8e141b90868d0e9da74c91c4dcb14e3a1cbd92fd870e326e1843dc249 | 2,561 | 8,979 | SELECT maxsalary FROM position WHERE positiontitle = 'Trainee' | SELECT maxsalary FROM position WHERE positiontitle = 'Trainer'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q012_r3 | bird/human_resources/8979 | bird | human_resources | 17,954 | 4f69e421a9e299f17126eecece8eda203aecd4f3a488e8602d6e811d63745912 | 2,561 | 8,979 | SELECT maxsalary FROM position WHERE positiontitle = 'Trainee' | SELECT maxsalary FROM position WHERE positiontitle = 'Trainee'; | original_match | true | true | false | false | 3dee6529d5eeee180bcf7b96ec36c8a404c87706feeedf57a2b5245467f26db3 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q013_r0 | bird/works_cycles/7103 | bird | works_cycles | 168,902 | 6de3a962cfc47d130e92c138d699ca6b333a343eacaa0dd0260293278f903b44 | 7,218 | 7,103 | SELECT CAST(SUM(IIF(T1.ShipMethodID = 5, T3.OrderQty, 0)) AS REAL) / COUNT(T3.ProductID) FROM ShipMethod AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.ShipMethodID = T2.ShipMethodID INNER JOIN PurchaseOrderDetail AS T3 ON T2.PurchaseOrderID = T3.PurchaseOrderID | SELECT AVG(po.OrderQty) AS AverageOrderedQuantity
FROM PurchaseOrderDetail po
JOIN PurchaseOrderHeader poh ON po.PurchaseOrderID = poh.PurchaseOrderID
JOIN ShipMethod sm ON poh.ShipMethodID = sm.ShipMethodID
WHERE sm.Name = 'Cargo Transport 5'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q013_r1 | bird/works_cycles/7103 | bird | works_cycles | 168,906 | ea353ef58224dee4b16f88fea4f85fdf48517331e1a4d6b9d1cf8168f83c0164 | 7,218 | 7,103 | SELECT CAST(SUM(IIF(T1.ShipMethodID = 5, T3.OrderQty, 0)) AS REAL) / COUNT(T3.ProductID) FROM ShipMethod AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.ShipMethodID = T2.ShipMethodID INNER JOIN PurchaseOrderDetail AS T3 ON T2.PurchaseOrderID = T3.PurchaseOrderID | SELECT AVG(pod.OrderQty) AS AverageOrderedQty
FROM PurchaseOrderDetail AS pod
JOIN PurchaseOrderHeader AS poh ON pod.PurchaseOrderID = poh.PurchaseOrderID
JOIN ShipMethod AS sm ON poh.ShipMethodID = sm.ShipMethodID
WHERE sm.Name = 'Cargo Transport 5'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q013_r2 | bird/works_cycles/7103 | bird | works_cycles | 168,896 | 749f0f6bb726d467f48d6e8fd278113900b833c49e7f9adc718dc4b084b440f4 | 7,218 | 7,103 | SELECT CAST(SUM(IIF(T1.ShipMethodID = 5, T3.OrderQty, 0)) AS REAL) / COUNT(T3.ProductID) FROM ShipMethod AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.ShipMethodID = T2.ShipMethodID INNER JOIN PurchaseOrderDetail AS T3 ON T2.PurchaseOrderID = T3.PurchaseOrderID | SELECT AVG(pod.OrderQty) FROM PurchaseOrderDetail AS pod JOIN PurchaseOrderHeader AS po ON pod.PurchaseOrderID = po.PurchaseOrderID JOIN ShipMethod AS sm ON po.ShipMethodID = sm.ShipMethodID WHERE sm.Name = 'Cargo Transport 5'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q013_r3 | bird/works_cycles/7103 | bird | works_cycles | 168,900 | 544df134b4b5d8d3003c621525dc3586e84fa7441bf636b470a6b412414fb257 | 7,218 | 7,103 | SELECT CAST(SUM(IIF(T1.ShipMethodID = 5, T3.OrderQty, 0)) AS REAL) / COUNT(T3.ProductID) FROM ShipMethod AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.ShipMethodID = T2.ShipMethodID INNER JOIN PurchaseOrderDetail AS T3 ON T2.PurchaseOrderID = T3.PurchaseOrderID | SELECT AVG(pod.OrderQty) AS avg_order_qty
FROM PurchaseOrderDetail AS pod
JOIN PurchaseOrderHeader AS poh ON pod.PurchaseOrderID = poh.PurchaseOrderID
JOIN ShipMethod AS sm ON poh.ShipMethodID = sm.ShipMethodID
WHERE sm.Name = 'CARGO TRANSPORT 5'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q014_r0 | bird/talkingdata/1064 | bird | talkingdata | 118,278 | a0236d4cfdbde42c4c07a2eb0835e2156864da42acd53dda28b455a051a67d6e | 5,636 | 1,064 | SELECT T1.app_id, T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 82 | SELECT app_events.app_id, events.timestamp
FROM events
JOIN app_events ON events.event_id = app_events.event_id
WHERE events.event_id = 82; | original_match | true | true | false | false | 49a225dc58dc54e5ecefaf2652d6666fca22ed064da85fcb28a48cc04e97242b | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q014_r1 | bird/talkingdata/1064 | bird | talkingdata | 118,287 | 807338d52a02ca9b1ea7c62ccfbf81b7feeafd34b43203397c46c126d167332d | 5,636 | 1,064 | SELECT T1.app_id, T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 82 | SELECT app_events.app_id, events.timestamp
FROM app_events
JOIN events ON app_events.event_id = events.event_id
WHERE app_events.event_id = 82; | original_match | true | true | false | false | e88157adc21bbf936d168490ca1e144b3cfc106bd93c8f67e72630f68d8a5180 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q014_r2 | bird/talkingdata/1064 | bird | talkingdata | 118,275 | 807338d52a02ca9b1ea7c62ccfbf81b7feeafd34b43203397c46c126d167332d | 5,636 | 1,064 | SELECT T1.app_id, T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 82 | SELECT app_events.app_id, events.timestamp
FROM app_events
JOIN events ON app_events.event_id = events.event_id
WHERE app_events.event_id = 82; | original_match | true | true | false | false | e88157adc21bbf936d168490ca1e144b3cfc106bd93c8f67e72630f68d8a5180 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q014_r3 | bird/talkingdata/1064 | bird | talkingdata | 118,296 | 7a4c6dcd242fff9f4a6b8d159e91c35c3b3bcfb956db5bdde25a84bb0a82825b | 5,636 | 1,064 | SELECT T1.app_id, T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 82 | SELECT ea.app_id, e.timestamp
FROM app_events AS ea
JOIN events AS e ON ea.event_id = e.event_id
WHERE ea.event_id = 82; | original_match | true | true | false | false | b73b3b8c85edf3a784fafd1656c9cb4b9f0e1bf1a4d229135f486abb06d7abef | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q015_r0 | bird/citeseer/4154 | bird | citeseer | 28,570 | 4501ba8537f7d2f2f4d0d9c39f4a4355b40c34519bd909762dda5f589870db35 | 2,892 | 4,154 | SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555' | SELECT COUNT(*) FROM content c JOIN cites cit ON c.paper_id = cit.citing_paper_id WHERE cit.citing_paper_id = 'schmidt99advanced' AND c.word_cited_id = 'word3555'; | original_match | true | true | false | false | 17b246a4b5522042d0c39b986a75982b0aba3c648fcb88d1826ad963c36b98c4 | accept | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q015_r1 | bird/citeseer/4154 | bird | citeseer | 28,567 | 44985a4e22c23e9fb598002fc812c9543eb7f6b6992ffca07fb5a4f255c584b9 | 2,892 | 4,154 | SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555' | SELECT COUNT(*) FROM content c JOIN cites cit ON c.paper_id = cit.cited_paper_id WHERE c.word_cited_id = 'word3555' AND cit.citing_paper_id = 'schmidt99advanced'; | original_match | true | true | false | false | bb17bb09e06fc09956912062cc4bdf003ea62fd44240e9a860183b49a88b865e | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q015_r2 | bird/citeseer/4154 | bird | citeseer | 28,553 | d3827899623b5fc71f6cb05231e50055102f4e1b2ef624a1b98d9d33d58471f3 | 2,892 | 4,154 | SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555' | SELECT COUNT(*) FROM cites c JOIN content co ON c.citing_paper_id = co.paper_id WHERE co.word_cited_id = 'word3555' AND c.citing_paper_id = 'schmidt99advanced' | original_match | true | true | false | false | 28970629b426895a214a6d40bebfccd0b2b53a20c71c3ccbeffdc80795444527 | accept | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q015_r3 | bird/citeseer/4154 | bird | citeseer | 28,551 | 97b85ecffdf16506bc5dfbaa9772d8c2b695a1dd60d9974247a46bb9b89d76e8 | 2,892 | 4,154 | SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555' | SELECT COUNT(*) FROM content c JOIN cites s ON c.paper_id = s.citing_paper_id WHERE s.citing_paper_id = 'schmidt99advanced' AND c.word_cited_id = 'word3555'; | original_match | true | true | false | false | 4fc0d57a8c5cf3a9caf9df89d03eac9aaa9acf47fcc3a6926e0d430306f4967b | accept | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q016_r0 | bird/sales/5399 | bird | sales | 54,092 | e4f62029e1122d2e50e2ad80932aaa017231859bf24dd55876395d2af6e9b3a7 | 3,690 | 5,399 | SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T2.FirstName = 'Michel' AND T2.MiddleInitial = 'e' AND T2.LastName = 'DeFrance' | SELECT COUNT(*) AS TotalSales
FROM Sales s
JOIN Employees e ON s.SalesPersonID = e.EmployeeID
WHERE e.FirstName = 'Michel'
AND e.MiddleInitial = 'E'
AND e.LastName = 'DeFrance'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q016_r1 | bird/sales/5399 | bird | sales | 54,100 | 0d8d1296111960322ca95bfd475bbee2bbf46d9892d7a345a26729f6cc339c11 | 3,690 | 5,399 | SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T2.FirstName = 'Michel' AND T2.MiddleInitial = 'e' AND T2.LastName = 'DeFrance' | SELECT COUNT(*) FROM Sales AS s JOIN Employees AS e ON s.SalesPersonID = e.EmployeeID WHERE e.FirstName = 'Michel' AND e.MiddleInitial = 'E' AND e.LastName = 'DeFrance'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q016_r2 | bird/sales/5399 | bird | sales | 54,086 | 0d8d1296111960322ca95bfd475bbee2bbf46d9892d7a345a26729f6cc339c11 | 3,690 | 5,399 | SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T2.FirstName = 'Michel' AND T2.MiddleInitial = 'e' AND T2.LastName = 'DeFrance' | SELECT COUNT(*) FROM Sales AS s JOIN Employees AS e ON s.SalesPersonID = e.EmployeeID WHERE e.FirstName = 'Michel' AND e.MiddleInitial = 'E' AND e.LastName = 'DeFrance'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q016_r3 | bird/sales/5399 | bird | sales | 54,103 | 69d16cb8a5792e20f1e58d8cefc911a160f32eabcbfa4c1d50ea6c99301d60b5 | 3,690 | 5,399 | SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T2.FirstName = 'Michel' AND T2.MiddleInitial = 'e' AND T2.LastName = 'DeFrance' | SELECT COUNT(*) AS total_sales
FROM Sales s
JOIN Employees e ON s.SalesPersonID = e.EmployeeID
WHERE e.FirstName = 'Michel' AND e.MiddleInitial = 'e' AND e.LastName = 'DeFrance'; | original_match | true | true | false | false | 76308ad38ccc400f7014d3b4f9fb5a013ddc9a61367812dd80677d875c3d017c | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q017_r0 | bird/simpson_episodes/4298 | bird | simpson_episodes | 36,803 | 598f5f13287f03d4cbe66e0378a8ec87ce2b157e49a521492a0cd8bd1782e530 | 3,150 | 4,298 | SELECT DISTINCT person, name, birthdate, birth_name, birth_place , birth_region, birth_country, height_meters, nickname FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Music Department'; | SELECT * FROM Credit WHERE category = 'Music Department'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q017_r1 | bird/simpson_episodes/4298 | bird | simpson_episodes | 36,804 | 598f5f13287f03d4cbe66e0378a8ec87ce2b157e49a521492a0cd8bd1782e530 | 3,150 | 4,298 | SELECT DISTINCT person, name, birthdate, birth_name, birth_place , birth_region, birth_country, height_meters, nickname FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Music Department'; | SELECT * FROM Credit WHERE category = 'Music Department'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q017_r2 | bird/simpson_episodes/4298 | bird | simpson_episodes | 36,813 | 598f5f13287f03d4cbe66e0378a8ec87ce2b157e49a521492a0cd8bd1782e530 | 3,150 | 4,298 | SELECT DISTINCT person, name, birthdate, birth_name, birth_place , birth_region, birth_country, height_meters, nickname FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Music Department'; | SELECT * FROM Credit WHERE category = 'Music Department'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q017_r3 | bird/simpson_episodes/4298 | bird | simpson_episodes | 36,821 | 598f5f13287f03d4cbe66e0378a8ec87ce2b157e49a521492a0cd8bd1782e530 | 3,150 | 4,298 | SELECT DISTINCT person, name, birthdate, birth_name, birth_place , birth_region, birth_country, height_meters, nickname FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Music Department'; | SELECT * FROM Credit WHERE category = 'Music Department'; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q018_r0 | bird/genes/2500 | bird | genes | 110,511 | 8aa1d0c9d345d731d364e2c8132ad870cbeb4ff3c4f5c62b3250813c5781bc47 | 5,393 | 2,500 | SELECT CAST(SUM(IIF(T1.Chromosome > 10 AND T3.Chromosome > 10, 1, 0)) AS REAL) * 100 / COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T2.Expression_Corr > 0 | SELECT SUM(CASE WHEN g1.Chromosome > 10 AND g2.Chromosome > 10 THEN 1 ELSE 0 END) * 1.0 / COUNT(*) AS possibility
FROM Interactions i
JOIN Genes g1 ON i.GeneID1 = g1.GeneID
JOIN Genes g2 ON i.GeneID2 = g2.GeneID
WHERE i.Expression_Corr > 0; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q018_r1 | bird/genes/2500 | bird | genes | 110,518 | e9174eeca53818fc22c726185d6cc978b47c2b8defc54fe1bf5883f3f1cc5b4b | 5,393 | 2,500 | SELECT CAST(SUM(IIF(T1.Chromosome > 10 AND T3.Chromosome > 10, 1, 0)) AS REAL) * 100 / COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T2.Expression_Corr > 0 | SELECT CAST(SUM(CASE WHEN g1.Chromosome > 10 AND g2.Chromosome > 10 THEN 1 ELSE 0 END) AS REAL) * 100.0 / COUNT(*) AS Possibility
FROM Interactions i
JOIN Genes g1 ON i.GeneID1 = g1.GeneID
JOIN Genes g2 ON i.GeneID2 = g2.GeneID
WHERE i.Expression_Corr > 0; | original_match | true | true | false | false | 7e352e0865c62018632c7eb26350d8b0300284dce568becabf5bbe065b12f371 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q018_r2 | bird/genes/2500 | bird | genes | 110,496 | e03a35644a5962867978db8c5dce6880a88a93caf4af1e3a5c5bd43f4dca1bd1 | 5,393 | 2,500 | SELECT CAST(SUM(IIF(T1.Chromosome > 10 AND T3.Chromosome > 10, 1, 0)) AS REAL) * 100 / COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T2.Expression_Corr > 0 | SELECT COUNT(*) FILTER (WHERE g1.Chromosome > 10 AND g2.Chromosome > 10) * 1.0 / COUNT(*) AS Possibility
FROM Interactions i
JOIN Genes g1 ON i.GeneID1 = g1.GeneID
JOIN Genes g2 ON i.GeneID2 = g2.GeneID
WHERE i.Expression_Corr > 0; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q018_r3 | bird/genes/2500 | bird | genes | 110,499 | 8aa1d0c9d345d731d364e2c8132ad870cbeb4ff3c4f5c62b3250813c5781bc47 | 5,393 | 2,500 | SELECT CAST(SUM(IIF(T1.Chromosome > 10 AND T3.Chromosome > 10, 1, 0)) AS REAL) * 100 / COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T2.Expression_Corr > 0 | SELECT SUM(CASE WHEN g1.Chromosome > 10 AND g2.Chromosome > 10 THEN 1 ELSE 0 END) * 1.0 / COUNT(*) AS possibility
FROM Interactions i
JOIN Genes g1 ON i.GeneID1 = g1.GeneID
JOIN Genes g2 ON i.GeneID2 = g2.GeneID
WHERE i.Expression_Corr > 0; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q019_r0 | bird/works_cycles/7110 | bird | works_cycles | 44,178 | 061e1ffadda9c067459ffc308961248a7f9a81dea5e574cc539381ef73cded7e | 3,380 | 7,110 | SELECT LastName FROM Person WHERE PersonType = 'EM' AND MiddleName LIKE 'C%' | SELECT LastName
FROM Person
WHERE PersonType = 'EM' AND MiddleName LIKE 'C%'; | original_match | true | true | false | false | f96429d19c58bf0d5f9d66e44413041cf274dba254eb2dae2eff5519955882c2 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q019_r1 | bird/works_cycles/7110 | bird | works_cycles | 44,169 | a0335812a2221ce6042618c82ea85c47d86c42b7815675ade53b471284c8fa51 | 3,380 | 7,110 | SELECT LastName FROM Person WHERE PersonType = 'EM' AND MiddleName LIKE 'C%' | SELECT p.LastName
FROM Person p
WHERE p.PersonType = 'EM'
AND p.MiddleName LIKE 'C%' | original_match | true | true | false | false | ba560e12dacc00a0c2e8974e9008e92b650584c47303829c0fc6274033a195dc | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q019_r2 | bird/works_cycles/7110 | bird | works_cycles | 44,187 | b60c0b860503f8872ecb6afc70a50e6378cdd294f8c13bd142ef78f2e1a42135 | 3,380 | 7,110 | SELECT LastName FROM Person WHERE PersonType = 'EM' AND MiddleName LIKE 'C%' | SELECT p.LastName
FROM Person p
JOIN Employee e ON e.BusinessEntityID = p.BusinessEntityID
WHERE p.PersonType = 'EM' AND p.MiddleName LIKE 'C%'; | original_match | true | true | false | false | e0bb353b6f14c82daba5ef6c892b5a4853eed98ac8a0d408c9f8809d11634ae1 | refuse | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q019_r3 | bird/works_cycles/7110 | bird | works_cycles | 44,176 | bfe96a47a2645fe236109c55f9a627cb62d3ae982f0d4936c79a6c76f98668fd | 3,380 | 7,110 | SELECT LastName FROM Person WHERE PersonType = 'EM' AND MiddleName LIKE 'C%' | SELECT DISTINCT p.LastName
FROM Person p
JOIN Employee e ON e.BusinessEntityID = p.BusinessEntityID
WHERE p.PersonType = 'EM' AND p.MiddleName LIKE 'C%'; | original_match | true | true | false | false | c89700560f53293f195368785e2af36135d90b34afd1cba3fefe21390253f7c6 | refuse | [
"no",
"no",
"no"
] | wrong | spurious | spurious | 3-LLM majority ['no', 'no', 'no'] |
bird_q020_r0 | bird/student_loan/4407 | bird | student_loan | 214,251 | 68b125e1462489152c2d66ae2a0a90d6d4420b9c84d58d07e7ea01353222cf6f | 8,635 | 4,407 | SELECT name, month FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school ) | SELECT MAX(month) AS longest_duration FROM longest_absense_from_school; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q020_r1 | bird/student_loan/4407 | bird | student_loan | 214,257 | 2a669e665cbb4a695f7662e7fef8f26d198a69194404a3670cdb9f53387f2a2f | 8,635 | 4,407 | SELECT name, month FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school ) | SELECT MAX(month) FROM longest_absense_from_school; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q020_r2 | bird/student_loan/4407 | bird | student_loan | 214,267 | 2a669e665cbb4a695f7662e7fef8f26d198a69194404a3670cdb9f53387f2a2f | 8,635 | 4,407 | SELECT name, month FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school ) | SELECT MAX(month) FROM longest_absense_from_school; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q020_r3 | bird/student_loan/4407 | bird | student_loan | 214,242 | 2a669e665cbb4a695f7662e7fef8f26d198a69194404a3670cdb9f53387f2a2f | 8,635 | 4,407 | SELECT name, month FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school ) | SELECT MAX(month) FROM longest_absense_from_school; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q021_r0 | bird/food_inspection/8808 | bird | food_inspection | 109,894 | a85f80f555ceaf703025c5efa0900d84e2fa0d6d5d18bc69b1764e1b206466ab | 5,374 | 8,808 | SELECT COUNT(T1.owner_name) FROM ( SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(owner_name) > 5 ) T1 | SELECT COUNT(*) FROM (SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(*) >= 5); | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q021_r1 | bird/food_inspection/8808 | bird | food_inspection | 109,896 | bee4b4eaa2b7d875c5320d1967792fc4b32dd3df706c670bf4e2f6b65f40375d | 5,374 | 8,808 | SELECT COUNT(T1.owner_name) FROM ( SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(owner_name) > 5 ) T1 | SELECT COUNT(*) FROM (SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(*) >= 5) | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q021_r2 | bird/food_inspection/8808 | bird | food_inspection | 109,917 | a85f80f555ceaf703025c5efa0900d84e2fa0d6d5d18bc69b1764e1b206466ab | 5,374 | 8,808 | SELECT COUNT(T1.owner_name) FROM ( SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(owner_name) > 5 ) T1 | SELECT COUNT(*) FROM (SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(*) >= 5); | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q021_r3 | bird/food_inspection/8808 | bird | food_inspection | 109,897 | a85f80f555ceaf703025c5efa0900d84e2fa0d6d5d18bc69b1764e1b206466ab | 5,374 | 8,808 | SELECT COUNT(T1.owner_name) FROM ( SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(owner_name) > 5 ) T1 | SELECT COUNT(*) FROM (SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(*) >= 5); | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q022_r0 | bird/codebase_comments/675 | bird | codebase_comments | 124,223 | 235180eeb43f7296e1a2ea7f75a2c4b38958d9f54a75c65c4a4cec1b7c798598 | 5,821 | 675 | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert' | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert'; | original_match | true | true | false | false | 54c9315dcdf9ff3462f22bf56f2ac446203b888f5b348d40c305d344692f272e | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q022_r1 | bird/codebase_comments/675 | bird | codebase_comments | 124,193 | 235180eeb43f7296e1a2ea7f75a2c4b38958d9f54a75c65c4a4cec1b7c798598 | 5,821 | 675 | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert' | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert'; | original_match | true | true | false | false | 54c9315dcdf9ff3462f22bf56f2ac446203b888f5b348d40c305d344692f272e | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q022_r2 | bird/codebase_comments/675 | bird | codebase_comments | 124,213 | 235180eeb43f7296e1a2ea7f75a2c4b38958d9f54a75c65c4a4cec1b7c798598 | 5,821 | 675 | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert' | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert'; | original_match | true | true | false | false | 54c9315dcdf9ff3462f22bf56f2ac446203b888f5b348d40c305d344692f272e | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q022_r3 | bird/codebase_comments/675 | bird | codebase_comments | 124,200 | e9d41bce51f7a0287b99d9093575837d6b66eb1d6538719d96af3b229c7bd72a | 5,821 | 675 | SELECT NameTokenized FROM Method WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert' | SELECT NameTokenized
FROM Method
WHERE Name = 'Sky.Excel.ExcelBook.TypeConvert'; | original_match | true | true | false | false | 14b0e485966728e5b7ac440434e64be63718930e99105ed41fda1ffdb9e03e27 | accept | [
"yes",
"yes",
"yes"
] | correct | non_spurious | non_spurious | 3-LLM majority ['yes', 'yes', 'yes'] |
bird_q023_r0 | bird/movielens/2272 | bird | movielens | 99,516 | ddad598c295bc4aea70e1de4a0ba51e1e97ba9f875185018a3b04c4dfea84ccf | 5,049 | 2,272 | SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5 | SELECT m2a.movieid
FROM movies2actors AS m2a
JOIN actors AS a ON a.actorid = m2a.actorid
ORDER BY a.a_quality DESC
LIMIT 5; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q023_r1 | bird/movielens/2272 | bird | movielens | 99,512 | ddad598c295bc4aea70e1de4a0ba51e1e97ba9f875185018a3b04c4dfea84ccf | 5,049 | 2,272 | SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5 | SELECT m2a.movieid
FROM movies2actors AS m2a
JOIN actors AS a ON a.actorid = m2a.actorid
ORDER BY a.a_quality DESC
LIMIT 5; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q023_r2 | bird/movielens/2272 | bird | movielens | 99,504 | 5010b3f2de85380a7ea473482d574daf46776cedc43297529c2d7e13ea91730a | 5,049 | 2,272 | SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5 | SELECT DISTINCT m.movieid
FROM movies m
JOIN movies2actors ma ON m.movieid = ma.movieid
JOIN actors a ON ma.actorid = a.actorid
ORDER BY a.a_quality DESC
LIMIT 5; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q023_r3 | bird/movielens/2272 | bird | movielens | 99,498 | 385b37d36d543e31e23e0c0f9f524b726d53979d87d9ea72b175e5de16eaa0b4 | 5,049 | 2,272 | SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5 | SELECT m.movieid
FROM movies2actors AS m2a
JOIN actors AS a ON m2a.actorid = a.actorid
GROUP BY m2a.movieid
ORDER BY COUNT(*) DESC
LIMIT 5; | unknown_prediction_execution | false | null | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: unknown_prediction_execution |
bird_q024_r0 | bird/movie_platform/73 | bird | movie_platform | 121,845 | 69f934910df0f539d49bd3d714b8ccd2fd37079e407899fff2dbe6bb074a75a1 | 5,747 | 73 | SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.user_trialist = 1 | SELECT COUNT(*) FROM ratings r JOIN movies m ON r.movie_id = m.movie_id WHERE m.movie_title = 'A Way of Life' AND r.user_trialist = 1; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q024_r1 | bird/movie_platform/73 | bird | movie_platform | 121,839 | 69f934910df0f539d49bd3d714b8ccd2fd37079e407899fff2dbe6bb074a75a1 | 5,747 | 73 | SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.user_trialist = 1 | SELECT COUNT(*) FROM ratings r JOIN movies m ON r.movie_id = m.movie_id WHERE m.movie_title = 'A Way of Life' AND r.user_trialist = 1; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q024_r2 | bird/movie_platform/73 | bird | movie_platform | 121,834 | 69f934910df0f539d49bd3d714b8ccd2fd37079e407899fff2dbe6bb074a75a1 | 5,747 | 73 | SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.user_trialist = 1 | SELECT COUNT(*) FROM ratings r JOIN movies m ON r.movie_id = m.movie_id WHERE m.movie_title = 'A Way of Life' AND r.user_trialist = 1; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
bird_q024_r3 | bird/movie_platform/73 | bird | movie_platform | 121,851 | d491190c50a52f4f4d9030583f3992af369c79e05817aed45546cb7e62148bce | 5,747 | 73 | SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.user_trialist = 1 | SELECT COUNT(*) AS trialist_count
FROM ratings r
JOIN movies m ON r.movie_id = m.movie_id
JOIN ratings_users ru ON r.user_id = ru.user_id
WHERE m.movie_title = 'A Way of Life'
AND ru.user_trialist = 1; | original_mismatch | false | false | false | false | null | refuse | null | null | non_spurious | non_spurious | mechanical: original_mismatch |
End of preview.
CoRE-DB evaluation sets (RQ3, RQ6)
Evaluation sets of Small Language Models for Text-to-SQL against Spurious Correctness.
| folder | paper use | content |
|---|---|---|
rq3/spurious_train200_3b/ |
RQ3 component table (3B) | 100 BIRD + 100 Spider train questions, 800 RL rollouts of the 3B CoRE-DB model, 3-LLM majority labels |
rq6/rollout_sample300/ |
RQ6 unseen-operation panel | 300 sampled training rollouts with unseen atomic operations, blind 3-LLM labels |
rq6/direct_neighbor_sources/ |
RQ6 coverage panel | grammar and LLM neighbour queries per DB, coverage summary |
CASES.jsonl / CASE_RESULTS.jsonl hold one record per case; MANIFEST.json and JUDGING_PROTOCOL.json describe sampling
and labelling. Databases: thanhdath/core-db (CoRE-DB) and the official BIRD / Spider train DBs.
RQ6 public inputs (2026-11-01)
Used by scripts/rq6/ of the CoRE-DB code release to re-derive the RQ6 subset and both RQ6 tables without any LLM call.
| File | Content |
|---|---|
rq6/neighbor_pool/pairs-eligible.parquet |
252,036 gold-neighbor pairs over the 215 training databases (grammar mutations 156,846 + LLM-written SQL 95,190) that match on the original database (label tied, provenance ok, no execution flag); columns dataset, db_id, generator, gold_sql, neighbor_sql, label, provenance_check, exec_flags |
rq6/coverage_rollouts/core12_05b_rollouts.jsonl.gz |
96,000 rollouts (3,000 steps x 32, steps 0-2999) of the 0.5B CoRE-DB training run; fields ds, db, step, sample_id, sql |
The RQ6 evaluation subset itself (210 of the 800 RQ3 cases) ships with the code as
evaluation_sets/rq6_unseen210_from_3b.jsonl. rq6/rollout_sample300/ is an earlier sample that the paper no longer uses.
- Downloads last month
- 771