question string | answer string | context string | dialect string | spider_hardness string | extended_hardness string | classification_status string | syntax_status string | ddl_syntax_status string | schema_status string | syntax_errors list | ddl_syntax_errors list | schema_errors list | classification_errors list | status_history list | correction_status string | component1 int64 | component2 int64 | others int64 | validation_source dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Which Total is the lowest one that has a Bronze of 0, and a Silver larger than 0, and a Rank of 5? | SELECT MIN(total) FROM table_name_51 WHERE bronze = 0 AND silver > 0 AND rank = 5 | CREATE TABLE table_name_51 (total INTEGER, rank VARCHAR(255), bronze VARCHAR(255), silver VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10379
} |
Which Bronze has a Total smaller than 2, and a Silver larger than 0, and a Gold smaller than 0? | SELECT SUM(bronze) FROM table_name_69 WHERE total < 2 AND silver > 0 AND gold < 0 | CREATE TABLE table_name_69 (bronze INTEGER, gold VARCHAR(255), total VARCHAR(255), silver VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10380
} |
Which Rank is the lowest one that has a Nation of switzerland, and a Bronze smaller than 0? | SELECT MIN(rank) FROM table_name_38 WHERE nation = 'switzerland' AND bronze < 0 | CREATE TABLE table_name_38 (rank INTEGER, nation VARCHAR(255), bronze VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10381
} |
Which Total is the highest one that has a Bronze of 0, and a Nation of poland, and a Gold smaller than 0? | SELECT MAX(total) FROM table_name_87 WHERE bronze = 0 AND nation = 'poland' AND gold < 0 | CREATE TABLE table_name_87 (total INTEGER, gold VARCHAR(255), bronze VARCHAR(255), nation VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10382
} |
What is the save of the game that 23,394 people attended? | SELECT save FROM table_name_49 WHERE attendance = '23,394' | CREATE TABLE table_name_49 (save VARCHAR(255), attendance VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10383
} |
Whihc Date is the lowest one that has a Competition of league, and a Venue of away, and an Opponent of swindon wildcats, and an Attendance larger than 1,201? | SELECT MIN(date) FROM table_name_51 WHERE competition = 'league' AND venue = 'away' AND opponent = 'swindon wildcats' AND attendance > 1 OFFSET 201 | CREATE TABLE table_name_51 (date INTEGER, attendance VARCHAR(255), opponent VARCHAR(255), competition VARCHAR(255), venue VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10384
} |
How many Dates have an Opponent of romford raiders, and a Result of won 7-3, and an Attendance larger than 1,769? | SELECT COUNT(date) FROM table_name_24 WHERE opponent = 'romford raiders' AND result = 'won 7-3' AND attendance > 1 OFFSET 769 | CREATE TABLE table_name_24 (date VARCHAR(255), attendance VARCHAR(255), opponent VARCHAR(255), result VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10385
} |
Which Date has an Opponent of milton keynes lightning, and an Attendance smaller than 1,771? | SELECT AVG(date) FROM table_name_96 WHERE opponent = 'milton keynes lightning' AND attendance < 1 OFFSET 771 | CREATE TABLE table_name_96 (date INTEGER, opponent VARCHAR(255), attendance VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10386
} |
Which Attendance has a Date of october 25? | SELECT MAX(attendance) FROM table_name_43 WHERE date = 'october 25' | CREATE TABLE table_name_43 (attendance INTEGER, date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10387
} |
Which Score has a Visitor of atlanta? | SELECT score FROM table_name_72 WHERE visitor = 'atlanta' | CREATE TABLE table_name_72 (score VARCHAR(255), visitor VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10388
} |
Which Yards has a Attempts of 247 | SELECT yards FROM table_name_74 WHERE attempts = '247' | CREATE TABLE table_name_74 (yards VARCHAR(255), attempts VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10389
} |
Which yard has a Completion of 64.9%? | SELECT yards FROM table_name_26 WHERE completion__percentage = '64.9%' | CREATE TABLE table_name_26 (yards VARCHAR(255), completion__percentage VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10390
} |
Which Completions has Yards of 10,098? | SELECT completions FROM table_name_36 WHERE yards = '10,098' | CREATE TABLE table_name_36 (completions VARCHAR(255), yards VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10391
} |
When has Attempts of 282 ? | SELECT year FROM table_name_3 WHERE attempts = '282' | CREATE TABLE table_name_3 (year VARCHAR(255), attempts VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10392
} |
Which Completions has Attempts of 1,271? | SELECT completions FROM table_name_89 WHERE attempts = '1,271' | CREATE TABLE table_name_89 (completions VARCHAR(255), attempts VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10393
} |
which Completion % has a Yards of 2,175? | SELECT completion__percentage FROM table_name_57 WHERE yards = '2,175' | CREATE TABLE table_name_57 (completion__percentage VARCHAR(255), yards VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10394
} |
What was the surface for Adrian Ungur as an opponent? | SELECT surface FROM table_name_86 WHERE opponent = 'adrian ungur' | CREATE TABLE table_name_86 (surface VARCHAR(255), opponent VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10395
} |
What was the score on a clay surface on May 29, 2006? | SELECT score FROM table_name_5 WHERE surface = 'clay' AND date = 'may 29, 2006' | CREATE TABLE table_name_5 (score VARCHAR(255), surface VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10396
} |
Which tournament had a score of 6–3, 7–6? | SELECT tournament FROM table_name_75 WHERE score = '6–3, 7–6' | CREATE TABLE table_name_75 (tournament VARCHAR(255), score VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10397
} |
On what surface was the opponent Michael Berrer? | SELECT surface FROM table_name_15 WHERE opponent = 'michael berrer' | CREATE TABLE table_name_15 (surface VARCHAR(255), opponent VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10398
} |
What game has 2 points? | SELECT MAX(games) FROM table_name_58 WHERE points = 2 | CREATE TABLE table_name_58 (games INTEGER, points VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10399
} |
How many total drawn has less than 4 lost and 8 points? | SELECT SUM(drawn) FROM table_name_59 WHERE lost < 4 AND points = 8 | CREATE TABLE table_name_59 (drawn INTEGER, lost VARCHAR(255), points VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10400
} |
How many lost are there before game 7? | SELECT SUM(lost) FROM table_name_5 WHERE games < 7 | CREATE TABLE table_name_5 (lost INTEGER, games INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10401
} |
How many touchdowns did the player with less than 4495 yards, long of less than 80, and yds/att less than 5.5 have? | SELECT COUNT(touchdowns) FROM table_name_65 WHERE net_yds < 4495 AND long < 80 AND yds_att < 5.5 | CREATE TABLE table_name_65 (touchdowns VARCHAR(255), yds_att VARCHAR(255), net_yds VARCHAR(255), long VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10402
} |
How many attempts did the player ranking with a number higher than 1, who started after 1997 and had yds/att of 5 have? | SELECT SUM(attempts) FROM table_name_66 WHERE start > 1997 AND yds_att = 5 AND rank > 1 | CREATE TABLE table_name_66 (attempts INTEGER, rank VARCHAR(255), start VARCHAR(255), yds_att VARCHAR(255), id INTEGER PRIMARY KEY) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10403
} |
What is the average net yds for the player who had a long of 68 and started after 1984? | SELECT AVG(net_yds) FROM table_name_59 WHERE long = 68 AND start > 1984 | CREATE TABLE table_name_59 (net_yds INTEGER, long VARCHAR(255), start VARCHAR(255), lat VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10404
} |
What is the lowest number of attempts for the player with a rank number larger than 3, who started after 1984 and had less than 6.1 yds/att? | SELECT MIN(attempts) FROM table_name_57 WHERE rank > 3 AND start > 1984 AND yds_att < 6.1 | CREATE TABLE table_name_57 (attempts INTEGER, yds_att VARCHAR(255), rank VARCHAR(255), start VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10405
} |
Which film was made before 2002? | SELECT film FROM table_name_1 WHERE year < 2002 | CREATE TABLE table_name_1 (film VARCHAR(255), year INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10406
} |
Which film has a role named Taylor? | SELECT film FROM table_name_68 WHERE role = 'taylor' | CREATE TABLE table_name_68 (film VARCHAR(255), role VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10407
} |
What notes does the film Touch & go have? | SELECT notes FROM table_name_3 WHERE film = 'touch & go' | CREATE TABLE table_name_3 (notes VARCHAR(255), film VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10408
} |
What language is the film Marion Bridge? | SELECT language FROM table_name_46 WHERE film = 'marion bridge' | CREATE TABLE table_name_46 (language VARCHAR(255), film VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10409
} |
What language is the film with a character named Annabelle? | SELECT language FROM table_name_90 WHERE role = 'annabelle' | CREATE TABLE table_name_90 (language VARCHAR(255), role VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10410
} |
What is the lowest pick from the Furman School that is a round smaller than 8? | SELECT MIN(pick) FROM table_name_83 WHERE school = 'furman' AND round < 8 | CREATE TABLE table_name_83 (pick INTEGER, school VARCHAR(255), round VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10411
} |
What is the total number of round picks from the Morris Brown School? | SELECT COUNT(round) FROM table_name_59 WHERE school = 'morris brown' | CREATE TABLE table_name_59 (round VARCHAR(255), school VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10412
} |
What is the total number of rounds for the player of Rell Tipton? | SELECT COUNT(round) FROM table_name_58 WHERE player = 'rell tipton' | CREATE TABLE table_name_58 (round VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10413
} |
On what date was game 3 played? | SELECT date FROM table_name_44 WHERE game = 3 | CREATE TABLE table_name_44 (date VARCHAR(255), game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10414
} |
Which game took place on April 22? | SELECT game FROM table_name_8 WHERE date = 'april 22' | CREATE TABLE table_name_8 (game VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10415
} |
What was the standing in the series after game 1? | SELECT series FROM table_name_1 WHERE game = 1 | CREATE TABLE table_name_1 (series VARCHAR(255), game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10416
} |
Which race had a time of 1:24.35? | SELECT race FROM table_name_90 WHERE time = '1:24.35' | CREATE TABLE table_name_90 (race VARCHAR(255), time VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10417
} |
What was the date for the G1 group race at Flemington? | SELECT date FROM table_name_98 WHERE group = 'g1' AND venue = 'flemington' | CREATE TABLE table_name_98 (date VARCHAR(255), "group" VARCHAR(255), venue VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10418
} |
What was the combined weight in kilograms of the horses in the race at Chelmsford stakes? | SELECT COUNT(weight__kg_) FROM table_name_42 WHERE race = 'chelmsford stakes' | CREATE TABLE table_name_42 (weight__kg_ VARCHAR(255), race VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10419
} |
In what year was the artist Afro-dite? | SELECT year FROM table_name_54 WHERE artist = 'afro-dite' | CREATE TABLE table_name_54 (year VARCHAR(255), artist VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10420
} |
What stadium was the game held at on December 23, 2001? | SELECT stadium FROM table_name_2 WHERE date = 'december 23, 2001' | CREATE TABLE table_name_2 (stadium VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10421
} |
What is the Record for the game held on December 2, 2001? | SELECT record FROM table_name_52 WHERE date = 'december 2, 2001' | CREATE TABLE table_name_52 (record VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10422
} |
What is the average Game where there were 65,666 in attendance? | SELECT AVG(game) FROM table_name_24 WHERE attendance = '65,666' | CREATE TABLE table_name_24 (game INTEGER, attendance VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10423
} |
Driving Force EX of 25cm (10-inch) involves what feature? | SELECT feature FROM table_name_46 WHERE driving_force_ex = '25cm (10-inch)' | CREATE TABLE table_name_46 (feature VARCHAR(255), driving_force_ex VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10424
} |
GT Force of no, and a Driving Force Pro of no, and a G27 Racing Wheel of no has what driving force gt? | SELECT driving_force_gt FROM table_name_2 WHERE gt_force = 'no' AND driving_force_pro = 'no' AND g27_racing_wheel = 'no' | CREATE TABLE table_name_2 (driving_force_gt VARCHAR(255), g27_racing_wheel VARCHAR(255), gt_force VARCHAR(255), driving_force_pro VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10425
} |
Feature of gear stick involves which driving force gt? | SELECT driving_force_gt FROM table_name_34 WHERE feature = 'gear stick' | CREATE TABLE table_name_34 (driving_force_gt VARCHAR(255), feature VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10426
} |
Driving Force EX of no, and a Driving Force GT of yes, and a Driving Force Pro of yes has what feature? | SELECT feature FROM table_name_64 WHERE driving_force_ex = 'no' AND driving_force_gt = 'yes' AND driving_force_pro = 'yes' | CREATE TABLE table_name_64 (feature VARCHAR(255), driving_force_pro VARCHAR(255), driving_force_ex VARCHAR(255), driving_force_gt VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10427
} |
Driving Force EX of no, and a Driving Force Pro of no, and a G25 Racing Wheel of no involves which g27 racing wheel? | SELECT g27_racing_wheel FROM table_name_45 WHERE driving_force_ex = 'no' AND driving_force_pro = 'no' AND g25_racing_wheel = 'no' | CREATE TABLE table_name_45 (g27_racing_wheel VARCHAR(255), g25_racing_wheel VARCHAR(255), driving_force_ex VARCHAR(255), driving_force_pro VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10428
} |
GT Force of yes, and a G27 Racing Wheel of 16 involves which driving force ex? | SELECT driving_force_ex FROM table_name_87 WHERE gt_force = 'yes' AND g27_racing_wheel = '16' | CREATE TABLE table_name_87 (driving_force_ex VARCHAR(255), gt_force VARCHAR(255), g27_racing_wheel VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10429
} |
What is the score on october 7? | SELECT score FROM table_name_95 WHERE date = 'october 7' | CREATE TABLE table_name_95 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10430
} |
How many people went to the game that had 17-13? | SELECT SUM(attendance) FROM table_name_39 WHERE score = '17-13' | CREATE TABLE table_name_39 (attendance INTEGER, score VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10431
} |
What is the highest rank for the airport with a code of HKG/VHHH? | SELECT MAX(rank) FROM table_name_56 WHERE code__iata_icao_ = 'hkg/vhhh' | CREATE TABLE table_name_56 (rank INTEGER, code__iata_icao_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10432
} |
How many Points have Drawn of 7, and a Team of corinthians, and a Played larger than 18? | SELECT COUNT(points) FROM table_name_72 WHERE drawn = 7 AND team = 'corinthians' AND played > 18 | CREATE TABLE table_name_72 (points VARCHAR(255), played VARCHAR(255), drawn VARCHAR(255), team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10433
} |
Which Points is the highest one that has a Position of 5, and a Played smaller than 18? | SELECT MAX(points) FROM table_name_80 WHERE position = 5 AND played < 18 | CREATE TABLE table_name_80 (points INTEGER, position VARCHAR(255), played VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10434
} |
Which Drawn is the average one that has a Position smaller than 9, and Points smaller than 22, and a Lost smaller than 9, and an Against larger than 29? | SELECT AVG(drawn) FROM table_name_76 WHERE position < 9 AND points < 22 AND lost < 9 AND against > 29 | CREATE TABLE table_name_76 (drawn INTEGER, against VARCHAR(255), lost VARCHAR(255), position VARCHAR(255), points VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10435
} |
How many Against have Played smaller than 18? | SELECT COUNT(against) FROM table_name_54 WHERE played < 18 | CREATE TABLE table_name_54 (against VARCHAR(255), played INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10436
} |
What is the points difference associated with more than 3 points and more than 0 losses? | SELECT points_difference FROM table_name_66 WHERE points > 3 AND lost > 0 | CREATE TABLE table_name_66 (points_difference VARCHAR(255), points VARCHAR(255), lost VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10437
} |
What is the difference associated with more than 2 losses and more than 1 point? | SELECT points_difference FROM table_name_45 WHERE lost > 2 AND points > 1 | CREATE TABLE table_name_45 (points_difference VARCHAR(255), lost VARCHAR(255), points VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10438
} |
What location did game 64 take place | SELECT location FROM table_name_34 WHERE game = 64 | CREATE TABLE table_name_34 (location VARCHAR(255), game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10439
} |
What was the Attendance after Week 7 at Tiger Stadium? | SELECT COUNT(attendance) FROM table_name_27 WHERE game_site = 'tiger stadium' AND week > 7 | CREATE TABLE table_name_27 (attendance VARCHAR(255), game_site VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10440
} |
What was the Attendance at the Game with a Result of w 21–7? | SELECT AVG(attendance) FROM table_name_71 WHERE result = 'w 21–7' | CREATE TABLE table_name_71 (attendance INTEGER, result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10441
} |
How many years have a Make/ Model of new flyer c40lfr? | SELECT COUNT(year) FROM table_name_4 WHERE make__model = 'new flyer c40lfr' | CREATE TABLE table_name_4 (year VARCHAR(255), make__model VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10442
} |
Which Make/ Model that Numbers (Quantity Ordered) of 1461–1500 (40 buses)? | SELECT make__model FROM table_name_36 WHERE numbers__quantity_ordered_ = '1461–1500 (40 buses)' | CREATE TABLE table_name_36 (make__model VARCHAR(255), numbers__quantity_ordered_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10443
} |
Which Fuel Propulsion has Numbers (Quantity Ordered) of 7124-7156 (33 buses)? | SELECT fuel_propulsion FROM table_name_34 WHERE numbers__quantity_ordered_ = '7124-7156 (33 buses)' | CREATE TABLE table_name_34 (fuel_propulsion VARCHAR(255), numbers__quantity_ordered_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10444
} |
Which Numbers (Quantity Ordered) have a Fuel Propulsion of cng, and a Year smaller than 2008, and a Make/ Model of nabi 40-lfw? | SELECT numbers__quantity_ordered_ FROM table_name_96 WHERE fuel_propulsion = 'cng' AND year < 2008 AND make__model = 'nabi 40-lfw' | CREATE TABLE table_name_96 (numbers__quantity_ordered_ VARCHAR(255), make__model VARCHAR(255), fuel_propulsion VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10445
} |
Which Numbers (Quantity Ordered) have a Make/ Model of eldorado national passport? | SELECT numbers__quantity_ordered_ FROM table_name_88 WHERE make__model = 'eldorado national passport' | CREATE TABLE table_name_88 (numbers__quantity_ordered_ VARCHAR(255), make__model VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10446
} |
What is the earliest year for Alabama with a pick under 26? | SELECT MIN(year) FROM table_name_78 WHERE college = 'alabama' AND pick < 26 | CREATE TABLE table_name_78 (year INTEGER, college VARCHAR(255), pick VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10447
} |
Which player was pick 2 later than 2010? | SELECT player FROM table_name_23 WHERE year > 2010 AND pick = 2 | CREATE TABLE table_name_23 (player VARCHAR(255), year VARCHAR(255), pick VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10448
} |
Which position has a pick greater than 28? | SELECT position FROM table_name_31 WHERE pick > 28 | CREATE TABLE table_name_31 (position VARCHAR(255), pick INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10449
} |
what team played on august 25 | SELECT opponent FROM table_name_14 WHERE date = 'august 25' | CREATE TABLE table_name_14 (opponent VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10450
} |
What class is associated with 0 stages won, a hummer, and before 2009? | SELECT class FROM table_name_83 WHERE stages_won = '0' AND vehicle = 'hummer' AND year < 2009 | CREATE TABLE table_name_83 (class VARCHAR(255), year VARCHAR(255), stages_won VARCHAR(255), vehicle VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10451
} |
What position did he finish in 2012? | SELECT position FROM table_name_59 WHERE year = 2012 | CREATE TABLE table_name_59 (position VARCHAR(255), year VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10452
} |
What year did he compete in the car class and win 0 stages? | SELECT year FROM table_name_59 WHERE class = 'car' AND stages_won = '0' | CREATE TABLE table_name_59 (year VARCHAR(255), class VARCHAR(255), stages_won VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10453
} |
on week of february 12, in the west division, what is the position? | SELECT position FROM table_name_16 WHERE division = 'west' AND week = 'february 12' | CREATE TABLE table_name_16 (position VARCHAR(255), division VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10454
} |
What is the listed Location with a # found of 4? | SELECT location FROM table_name_47 WHERE _number_found = '4' | CREATE TABLE table_name_47 (location VARCHAR(255), _number_found VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10455
} |
What's the Ball Diameter with the Location oof El Manati, and the Period of 1200 BCE? | SELECT ball_diameter FROM table_name_87 WHERE location = 'el manati' AND period = '1200 bce' | CREATE TABLE table_name_87 (ball_diameter VARCHAR(255), location VARCHAR(255), period VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10456
} |
What's the Ball Diameter with the Culture of Olmec? | SELECT ball_diameter FROM table_name_54 WHERE culture = 'olmec' | CREATE TABLE table_name_54 (ball_diameter VARCHAR(255), culture VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10457
} |
What's the Period with # found of 5? | SELECT period FROM table_name_81 WHERE _number_found = '5' | CREATE TABLE table_name_81 (period VARCHAR(255), _number_found VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10458
} |
Which Country has azeri tv tower? | SELECT country FROM table_name_61 WHERE name = 'azeri tv tower' | CREATE TABLE table_name_61 (country VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10459
} |
What is Pinnacle height of chimney of orot rabin? | SELECT pinnacle_height FROM table_name_31 WHERE name = 'chimney of orot rabin' | CREATE TABLE table_name_31 (pinnacle_height VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10460
} |
Which Country has a Pinnacle height of metres (ft) and a Name of azeri tv tower? | SELECT country FROM table_name_37 WHERE pinnacle_height = 'metres (ft)' AND name = 'azeri tv tower' | CREATE TABLE table_name_37 (country VARCHAR(255), pinnacle_height VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10461
} |
Which Town has a Structural type of guyed mast and a Country of belgium? | SELECT town FROM table_name_29 WHERE structural_type = 'guyed mast' AND country = 'belgium' | CREATE TABLE table_name_29 (town VARCHAR(255), structural_type VARCHAR(255), country VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10462
} |
What is the Main use of emley moor tower (mk.3)? | SELECT main_use FROM table_name_54 WHERE name = 'emley moor tower (mk.3)' | CREATE TABLE table_name_54 (main_use VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10463
} |
What is the Main use of transmitter solt in Hungary? | SELECT main_use FROM table_name_75 WHERE country = 'hungary' AND name = 'transmitter solt' | CREATE TABLE table_name_75 (main_use VARCHAR(255), country VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10464
} |
what day was the sandown | SELECT date FROM table_name_56 WHERE race_title = 'sandown' | CREATE TABLE table_name_56 (date VARCHAR(255), race_title VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10465
} |
What is the Birth of the lady that has a Became Duchess on 18 august 1593 husband's accession? | SELECT birth FROM table_name_52 WHERE became_duchess = '18 august 1593 husband''s accession' | CREATE TABLE table_name_52 (birth VARCHAR(255), became_duchess VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10466
} |
What was the Score when the Loss was ruthven (1-4)? | SELECT score FROM table_name_68 WHERE loss = 'ruthven (1-4)' | CREATE TABLE table_name_68 (score VARCHAR(255), loss VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10483
} |
What was the highest pick for Penn State? | SELECT MAX(pick__number) FROM table_name_57 WHERE college = 'penn state' | CREATE TABLE table_name_57 (pick__number INTEGER, college VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10484
} |
What position does pick number 12 play? | SELECT position FROM table_name_87 WHERE pick__number = 12 | CREATE TABLE table_name_87 (position VARCHAR(255), pick__number VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10485
} |
What is the pick number for the College of Central Missouri State? | SELECT pick__number FROM table_name_45 WHERE college = 'central missouri state' | CREATE TABLE table_name_45 (pick__number VARCHAR(255), college VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10486
} |
What was Rich Voltzke's highest pick number? | SELECT MAX(pick__number) FROM table_name_79 WHERE player = 'rich voltzke' | CREATE TABLE table_name_79 (pick__number INTEGER, player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10487
} |
How many Games has Points larger than 0 and a Lost smaller than 4? | SELECT COUNT(games) FROM table_name_44 WHERE points > 0 AND lost < 4 AND drawn < 0 | CREATE TABLE table_name_44 (games VARCHAR(255), drawn VARCHAR(255), points VARCHAR(255), lost VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10488
} |
How many Drawns have Points smaller than 5 and a Lost larger than 7? | SELECT COUNT(drawn) FROM table_name_87 WHERE points < 5 AND lost > 7 | CREATE TABLE table_name_87 (drawn VARCHAR(255), points VARCHAR(255), lost VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10490
} |
Which record has a date of January 29? | SELECT record FROM table_name_35 WHERE date = 'january 29' | CREATE TABLE table_name_35 (record VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10491
} |
Which score has a visitor of New York? | SELECT score FROM table_name_62 WHERE visitor = 'new york' | CREATE TABLE table_name_62 (score VARCHAR(255), visitor VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10492
} |
What is the name of the visitor on January 24? | SELECT visitor FROM table_name_40 WHERE date = 'january 24' | CREATE TABLE table_name_40 (visitor VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10493
} |
Which home game has a date of January 7? | SELECT home FROM table_name_3 WHERE date = 'january 7' | CREATE TABLE table_name_3 (home VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10494
} |
What is the highest number of doctorates the college of informatics and systems, which has 0 specialists and less than 2 master's degrees, have? | SELECT MAX(doctorate) FROM table_name_10 WHERE specialist = 0 AND college = 'informatics and systems' AND masters < 2 | CREATE TABLE table_name_10 (doctorate INTEGER, masters VARCHAR(255), specialist VARCHAR(255), college VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10495
} |
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