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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
How many points are in the scored category for the team that played less than 18 games? | SELECT SUM(scored) FROM table_name_41 WHERE played < 18 | CREATE TABLE table_name_41 (scored INTEGER, played INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17352
} |
How many points are in the scored category for the team that has 8 total points and a position that is less than 10? | SELECT SUM(scored) FROM table_name_38 WHERE points = 8 AND position < 10 | CREATE TABLE table_name_38 (scored INTEGER, points VARCHAR, position VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17353
} |
How many loses does the team have that conceded 25 and won more than 6 games? | SELECT SUM(losses) FROM table_name_6 WHERE conceded = 25 AND wins > 6 | CREATE TABLE table_name_6 (losses INTEGER, conceded VARCHAR, wins VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17354
} |
Out of the teams that have scored lower than 25 points, have a total of points less than 20, and a position larger than 8, which has the lowest amount of draws? | SELECT MIN(draws) FROM table_name_17 WHERE scored < 25 AND points = 20 AND position > 8 | CREATE TABLE table_name_17 (draws INTEGER, position VARCHAR, scored VARCHAR, points VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17355
} |
How many bronze medals did the nation have that had less than 3 silver, 5 gold and ranked better than 31? | SELECT SUM(bronze) FROM table_name_97 WHERE silver < 3 AND rank < 31 AND gold = 5 | CREATE TABLE table_name_97 (bronze INTEGER, gold VARCHAR, silver VARCHAR, rank VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17356
} |
What's the bronze medal count of Spain that has less than 39 Gold, 3 silver, and a rank better than 35? | SELECT bronze FROM table_name_27 WHERE gold < 39 AND silver = 3 AND rank < 35 AND nation = 'spain' | CREATE TABLE table_name_27 (bronze VARCHAR, nation VARCHAR, rank VARCHAR, gold VARCHAR, silver VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17357
} |
What's the total amount of USSR that has more than 0 gold, less than 85 silver and more than 6 bronze? | SELECT MIN(total) FROM table_name_62 WHERE gold > 0 AND bronze > 6 AND nation = 'ussr' AND silver < 85 | CREATE TABLE table_name_62 (total INTEGER, silver VARCHAR, nation VARCHAR, gold VARCHAR, bronze VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17358
} |
What's the lowest bronze medal amount that has fewer than 0 gold? | SELECT MIN(bronze) FROM table_name_55 WHERE gold < 0 | CREATE TABLE table_name_55 (bronze INTEGER, gold INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17359
} |
What's the total amount of Bulgaria that has more than 13 bronze? | SELECT SUM(total) FROM table_name_2 WHERE nation = 'bulgaria' AND bronze > 13 | CREATE TABLE table_name_2 (total INTEGER, nation VARCHAR, bronze VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17360
} |
what is the average attendance when the week is higher than 5 and the opponent is washington redskins? | SELECT AVG(attendance) FROM table_name_81 WHERE week > 5 AND opponent = 'washington redskins' | CREATE TABLE table_name_81 (attendance INTEGER, week VARCHAR, opponent VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17361
} |
What country has t6 as the place, with sean o'hair as the player? | SELECT country FROM table_name_88 WHERE place = 't6' AND player = 'sean o''hair' | CREATE TABLE table_name_88 (country VARCHAR, place VARCHAR, player VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17362
} |
What to par has 65 as the score? | SELECT to_par FROM table_name_91 WHERE score = 65 | CREATE TABLE table_name_91 (to_par VARCHAR, score VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17363
} |
What score has south africa as the country? | SELECT score FROM table_name_92 WHERE country = 'south africa' | CREATE TABLE table_name_92 (score VARCHAR, country VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17364
} |
What is the Time of the Athlete with a Rank of 6? | SELECT time FROM table_name_55 WHERE rank = 6 | CREATE TABLE table_name_55 (time VARCHAR, rank VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17365
} |
How much Longitude has a County of nelson, and a Latitude larger than 47.980183? | SELECT SUM(longitude) FROM table_name_87 WHERE county = 'nelson' AND latitude > 47.980183 | CREATE TABLE table_name_87 (longitude INTEGER, county VARCHAR, latitude VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17366
} |
Which Water (sqmi) has a County of benson, and an ANSI code smaller than 1759243? | SELECT MIN(water__sqmi_) FROM table_name_13 WHERE county = 'benson' AND ansi_code < 1759243 | CREATE TABLE table_name_13 (water__sqmi_ INTEGER, county VARCHAR, ansi_code VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17367
} |
Which Pop (2010) has an ANSI code smaller than 1036864, and a Longitude larger than -98.46611, and a Land (sqmi) smaller than 36.238, and a Latitude smaller than 48.144102? | SELECT AVG(pop__2010_) FROM table_name_21 WHERE ansi_code < 1036864 AND longitude > -98.46611 AND land___sqmi__ < 36.238 AND latitude < 48.144102 | CREATE TABLE table_name_21 (pop__2010_ INTEGER, latitude VARCHAR, land___sqmi__ VARCHAR, ansi_code VARCHAR, longitude VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17368
} |
Who did the Eagle's play on November 5, 1961? | SELECT opponent FROM table_name_77 WHERE date = 'november 5, 1961' | CREATE TABLE table_name_77 (opponent VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17369
} |
What years have joyce couwenberg as the character? | SELECT years FROM table_name_62 WHERE character = 'joyce couwenberg' | CREATE TABLE table_name_62 (years VARCHAR, character VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17370
} |
What actor has goede tijden, slechte tijden, as the soap opera, 11 years as the duration, with rosa gonzalez as the character? | SELECT actor FROM table_name_91 WHERE soap_opera = 'goede tijden, slechte tijden' AND duration = '11 years' AND character = 'rosa gonzalez' | CREATE TABLE table_name_91 (actor VARCHAR, character VARCHAR, soap_opera VARCHAR, duration VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17371
} |
What actor has onderweg naar morgen, as the soap opera, with aafke couwenberg as the character? | SELECT actor FROM table_name_47 WHERE soap_opera = 'onderweg naar morgen' AND character = 'aafke couwenberg' | CREATE TABLE table_name_47 (actor VARCHAR, soap_opera VARCHAR, character VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17372
} |
What duration has rosa gonzalez as the character? | SELECT duration FROM table_name_60 WHERE character = 'rosa gonzalez' | CREATE TABLE table_name_60 (duration VARCHAR, character VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17373
} |
What is the Team of the Fullback Player? | SELECT team FROM table_name_77 WHERE position = 'fullback' | CREATE TABLE table_name_77 (team VARCHAR, position VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17374
} |
What is the average L/100km urban (cold) for engine capacities over 1910, mpg in the US (urban) under 25.3, mpg in the UK (combined) over 27.2, and mpg in the UK (urban, cold) of 22.4? | SELECT AVG(l_100km_urban__cold_) FROM table_name_27 WHERE engine_capacity > 1910 AND mpg_us_urban < 25.3 AND mpg_uk_combined > 27.2 AND mpg_uk_urban__cold_ = 22.4 | CREATE TABLE table_name_27 (l_100km_urban__cold_ INTEGER, mpg_uk_urban__cold_ VARCHAR, mpg_uk_combined VARCHAR, engine_capacity VARCHAR, mpg_us_urban VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17488
} |
What is the lowest combined mpg in the US for the A6 transmission, a CO2 g/km under 303, engine capacity over 2461, and L/100km urban (cold) of 15.9? | SELECT MIN(mpg_us_combined) FROM table_name_11 WHERE transmission = 'a6' AND co_2_g_km < 303 AND engine_capacity > 2461 AND l_100km_urban__cold_ = 15.9 | CREATE TABLE table_name_11 (mpg_us_combined INTEGER, l_100km_urban__cold_ VARCHAR, engine_capacity VARCHAR, transmission VARCHAR, co_2_g_km VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17489
} |
What was the release date of the episode titled Drip-Along Daffy? | SELECT release_date FROM table_name_85 WHERE title = 'drip-along daffy' | CREATE TABLE table_name_85 (release_date VARCHAR, title VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17490
} |
Who is in October when Carina Ragnarsson is in November? | SELECT october FROM table_name_61 WHERE november = 'carina ragnarsson' | CREATE TABLE table_name_61 (october VARCHAR, november VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17491
} |
Who is in November in the year 1979? | SELECT november FROM table_name_36 WHERE year = 1979 | CREATE TABLE table_name_36 (november VARCHAR, year VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17492
} |
Who is in December when November has Alexus Winston? | SELECT december FROM table_name_32 WHERE november = 'alexus winston' | CREATE TABLE table_name_32 (december VARCHAR, november VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17493
} |
Who is in November after 1988 when Prinzzess is in October? | SELECT november FROM table_name_52 WHERE year > 1988 AND october = 'prinzzess' | CREATE TABLE table_name_52 (november VARCHAR, year VARCHAR, october VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17494
} |
What is the line that has lucania as the ship and 1894 as the date? | SELECT line FROM table_name_8 WHERE ship = 'lucania' AND year = '1894' | CREATE TABLE table_name_8 (line VARCHAR, ship VARCHAR, year VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17495
} |
Which Genre has a Developer(s) of naughty dog? | SELECT genre FROM table_name_47 WHERE developer_s_ = 'naughty dog' | CREATE TABLE table_name_47 (genre VARCHAR, developer_s_ VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17496
} |
Which Year has a Game of resident evil 4? | SELECT AVG(year) FROM table_name_35 WHERE game = 'resident evil 4' | CREATE TABLE table_name_35 (year INTEGER, game VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17497
} |
Which Developer(s) has a Year of 2010? | SELECT developer_s_ FROM table_name_90 WHERE year = 2010 | CREATE TABLE table_name_90 (developer_s_ VARCHAR, year VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17498
} |
Who is the Opponent of the match with a Record of 0-1? | SELECT opponent FROM table_name_12 WHERE record = '0-1' | CREATE TABLE table_name_12 (opponent VARCHAR, record VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17499
} |
What is the Time of the match with a Record of 3-3? | SELECT time FROM table_name_30 WHERE record = '3-3' | CREATE TABLE table_name_30 (time VARCHAR, record VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17500
} |
What is the Method of the match with a Time of 4:07? | SELECT method FROM table_name_53 WHERE time = '4:07' | CREATE TABLE table_name_53 (method VARCHAR, time VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17501
} |
Which Published as serial has a Published as novel of october 1917, mcclurg? | SELECT published_as_serial FROM table_name_82 WHERE published_as_novel = 'october 1917, mcclurg' | CREATE TABLE table_name_82 (published_as_serial VARCHAR, published_as_novel VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17502
} |
Which Fictional narrator has a Published as serial of february–july 1912, all-story? | SELECT fictional_narrator FROM table_name_63 WHERE published_as_serial = 'february–july 1912, all-story' | CREATE TABLE table_name_63 (fictional_narrator VARCHAR, published_as_serial VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17503
} |
What county is the team with the mascot of the Tigers in? | SELECT county FROM table_name_89 WHERE mascot = 'tigers' | CREATE TABLE table_name_89 (county VARCHAR, mascot VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17520
} |
What county is the team with the mascot of the Tigers in? | SELECT county FROM table_name_2 WHERE mascot = 'tigers' | CREATE TABLE table_name_2 (county VARCHAR, mascot VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17521
} |
What is the enrollment at Lanesville? | SELECT AVG(enrollment) FROM table_name_21 WHERE school = 'lanesville' | CREATE TABLE table_name_21 (enrollment INTEGER, school VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17522
} |
What is the IHSAA class for the school in 10 Clark county with mascot of the Mustangs? | SELECT ihsaa_class FROM table_name_73 WHERE county = '10 clark' AND mascot = 'mustangs' | CREATE TABLE table_name_73 (ihsaa_class VARCHAR, county VARCHAR, mascot VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17523
} |
What is the mascot at Borden? | SELECT mascot FROM table_name_48 WHERE school = 'borden' | CREATE TABLE table_name_48 (mascot VARCHAR, school VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17524
} |
What is the mascot of the school in New Washington in 10 Clark county? | SELECT mascot FROM table_name_50 WHERE county = '10 clark' AND location = 'new washington' | CREATE TABLE table_name_50 (mascot VARCHAR, county VARCHAR, location VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17525
} |
Which Owner(s) has a Description of hunslet engine company 0-6-0st? | SELECT owner_s_ FROM table_name_18 WHERE description = 'hunslet engine company 0-6-0st' | CREATE TABLE table_name_18 (owner_s_ VARCHAR, description VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17526
} |
What is the number of electorates (2009) for Constituency number 182? | SELECT number_of_electorates__2009_ FROM table_name_13 WHERE constituency_number = '182' | CREATE TABLE table_name_13 (number_of_electorates__2009_ VARCHAR, constituency_number VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17527
} |
What is the Constituency number for Pandhana? | SELECT constituency_number FROM table_name_62 WHERE name = 'pandhana' | CREATE TABLE table_name_62 (constituency_number VARCHAR, name VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17528
} |
Which Name has a Number of electorates (2009) greater than 188,799? | SELECT name FROM table_name_56 WHERE number_of_electorates__2009_ > 188 OFFSET 799 | CREATE TABLE table_name_56 (name VARCHAR, number_of_electorates__2009_ INTEGER) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 17529
} |
What is the Constituency number for Bikhangaon with a Reserved for ( SC / ST /None) of st? | SELECT constituency_number FROM table_name_11 WHERE reserved_for___sc___st__none_ = 'st' AND name = 'bikhangaon' | CREATE TABLE table_name_11 (constituency_number VARCHAR, reserved_for___sc___st__none_ VARCHAR, name VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17530
} |
How many silver medals for germany with a bronze count more than 0? | SELECT MAX(silver) FROM table_name_81 WHERE nation = 'germany' AND bronze > 0 | CREATE TABLE table_name_81 (silver INTEGER, nation VARCHAR, bronze VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17531
} |
How many gold medals when the total is more than 1 and 18 silver? | SELECT MIN(gold) FROM table_name_80 WHERE total > 1 AND silver = 18 | CREATE TABLE table_name_80 (gold INTEGER, total VARCHAR, silver VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17532
} |
How many bronze medals has a total less than 3 with a silver less than 1 and gold more than 1? | SELECT AVG(bronze) FROM table_name_66 WHERE total < 3 AND silver < 1 AND gold > 1 | CREATE TABLE table_name_66 (bronze INTEGER, gold VARCHAR, total VARCHAR, silver VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17533
} |
what is the venue on october 28, 2008? | SELECT venue FROM table_name_43 WHERE date = 'october 28, 2008' | CREATE TABLE table_name_43 (venue VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17534
} |
what is the result on september 10, 2008? | SELECT result FROM table_name_43 WHERE date = 'september 10, 2008' | CREATE TABLE table_name_43 (result VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17535
} |
What is a highest time for the heat smaller than 1? | SELECT MAX(time) FROM table_name_39 WHERE heat < 1 | CREATE TABLE table_name_39 (time INTEGER, heat INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17559
} |
What is the average number of wins for teams with 14 losses and against over 2200? | SELECT AVG(wins) FROM table_name_41 WHERE losses = 14 AND against > 2200 | CREATE TABLE table_name_41 (wins INTEGER, losses VARCHAR, against VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17616
} |
What is the sum of wins for teams with against under 1067? | SELECT SUM(wins) FROM table_name_16 WHERE against < 1067 | CREATE TABLE table_name_16 (wins INTEGER, against INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17617
} |
What is the sum of Against values for teams with 5 losses and 0 draws? | SELECT SUM(against) FROM table_name_8 WHERE losses = 5 AND draws < 0 | CREATE TABLE table_name_8 (against INTEGER, losses VARCHAR, draws VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17618
} |
What is the total number of byes for teams with against of 2139 and more than 0 draws? | SELECT COUNT(byes) FROM table_name_70 WHERE against = 2139 AND draws > 0 | CREATE TABLE table_name_70 (byes VARCHAR, against VARCHAR, draws VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17619
} |
what is the highest attendance when the week is smaller than 1? | SELECT MAX(attendance) FROM table_name_30 WHERE week < 1 | CREATE TABLE table_name_30 (attendance INTEGER, week INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17620
} |
what is the week when the result is w 14-13 and the attendance is higher than 53,295? | SELECT AVG(week) FROM table_name_51 WHERE result = 'w 14-13' AND attendance > 53 OFFSET 295 | CREATE TABLE table_name_51 (week INTEGER, result VARCHAR, attendance VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 17621
} |
What college did Richard Ticzon attend? | SELECT college FROM table_name_82 WHERE player = 'richard ticzon' | CREATE TABLE table_name_82 (college VARCHAR, player VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17622
} |
Which player went to college at Up-Diliman and plays on PBA team of the Alaska Milkmen? | SELECT player FROM table_name_97 WHERE pba_team = 'alaska milkmen' AND college = 'up-diliman' | CREATE TABLE table_name_97 (player VARCHAR, pba_team VARCHAR, college VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17623
} |
How many silver medals when the total was 2 and less than 1 bronze? | SELECT SUM(silver) FROM table_name_37 WHERE bronze < 1 AND total = 2 | CREATE TABLE table_name_37 (silver INTEGER, bronze VARCHAR, total VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17624
} |
What's the total when the bronze was more than 1, silver was 3, and gold was less than 5? | SELECT SUM(total) FROM table_name_90 WHERE bronze > 1 AND silver = 3 AND gold < 5 | CREATE TABLE table_name_90 (total INTEGER, gold VARCHAR, bronze VARCHAR, silver VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17625
} |
What's the gold medal count for Total Nation with a bronze count more than 0 and a total less than 54? | SELECT MAX(gold) FROM table_name_13 WHERE bronze > 0 AND nation = 'total' AND 'total' < 54 | CREATE TABLE table_name_13 (gold INTEGER, bronze VARCHAR, nation VARCHAR) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 'total'"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 17626
} |
what is the borough or A[›] Census area when the Name A[›] is jerome lake dam? | SELECT borough_or_a[›_] AS _census_area FROM table_name_81 WHERE name_a[›_] = 'jerome lake dam' | CREATE TABLE table_name_81 (borough_or_a VARCHAR, ›_ VARCHAR, name_a VARCHAR) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: borough_or_a[›_]"
] | [
"validated",
"extension_unchanged",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 17627
} |
What is the score for the player who won $3,600? | SELECT score FROM table_name_40 WHERE money___$__ = '3,600' | CREATE TABLE table_name_40 (score VARCHAR, money___$__ VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17628
} |
Name the most total with average less than 36.5 and rank by average of 14 | SELECT MAX(total) FROM table_name_39 WHERE average < 36.5 AND rank_by_average = 14 | CREATE TABLE table_name_39 (total INTEGER, average VARCHAR, rank_by_average VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17629
} |
Name the sum of rank by average with competition finish more than 8 and average larger than 30 | SELECT SUM(rank_by_average) FROM table_name_29 WHERE competition_finish > 8 AND average > 30 | CREATE TABLE table_name_29 (rank_by_average INTEGER, competition_finish VARCHAR, average VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17630
} |
Name the total number of competition finish with total of 90 and rank by average more than 5 | SELECT COUNT(competition_finish) FROM table_name_43 WHERE total = 90 AND rank_by_average > 5 | CREATE TABLE table_name_43 (competition_finish VARCHAR, total VARCHAR, rank_by_average VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17631
} |
What is the normal temperature of Abbotsford, British Columbia? | SELECT normal_temperature FROM table_name_8 WHERE city = 'abbotsford, british columbia' | CREATE TABLE table_name_8 (normal_temperature VARCHAR, city VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17712
} |
What is the score on May 18? | SELECT score FROM table_name_75 WHERE date = 'may 18' | CREATE TABLE table_name_75 (score VARCHAR, date VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17713
} |
What is the home team of the game on May 22 with the Edmonton Oilers as the visiting team? | SELECT home FROM table_name_29 WHERE visitor = 'edmonton oilers' AND date = 'may 22' | CREATE TABLE table_name_29 (home VARCHAR, visitor VARCHAR, date VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17714
} |
What is the record of the game where the visitor team is the Edmonton Oilers? | SELECT record FROM table_name_50 WHERE visitor = 'edmonton oilers' | CREATE TABLE table_name_50 (record VARCHAR, visitor VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17715
} |
When is the lane less than 5 and is named ágnes kovács? | SELECT time FROM table_name_65 WHERE lane < 5 AND name = 'ágnes kovács' | CREATE TABLE table_name_65 (time VARCHAR, lane VARCHAR, name VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17716
} |
What is the average lane for china? | SELECT AVG(lane) FROM table_name_52 WHERE nationality = 'china' | CREATE TABLE table_name_52 (lane INTEGER, nationality VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17717
} |
What is the average lane that is called rebecca brown? | SELECT AVG(lane) FROM table_name_88 WHERE name = 'rebecca brown' | CREATE TABLE table_name_88 (lane INTEGER, name VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17718
} |
Which Championship total is over 13? | SELECT AVG(total) FROM table_name_99 WHERE championship > 13 | CREATE TABLE table_name_99 (total INTEGER, championship INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17719
} |
When Kerry is at 36.7%, what is the total number of others? | SELECT COUNT(others_number) FROM table_name_88 WHERE kerry_percentage = '36.7%' | CREATE TABLE table_name_88 (others_number VARCHAR, kerry_percentage VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17720
} |
When Bush has 52.9%, what is the Bush#? | SELECT bush_number FROM table_name_10 WHERE bush_percentage = '52.9%' | CREATE TABLE table_name_10 (bush_number VARCHAR, bush_percentage VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17721
} |
What is the IATA of Guam? | SELECT iata FROM table_name_4 WHERE city = 'guam' | CREATE TABLE table_name_4 (iata VARCHAR, city VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17722
} |
VIE is the IATA for which city? | SELECT airport FROM table_name_80 WHERE iata = 'vie' | CREATE TABLE table_name_80 (airport VARCHAR, iata VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17723
} |
Which city's ICAO is WADD? | SELECT city FROM table_name_92 WHERE icao = 'wadd' | CREATE TABLE table_name_92 (city VARCHAR, icao VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17724
} |
PER is the IATA for which city? | SELECT city FROM table_name_84 WHERE iata = 'per' | CREATE TABLE table_name_84 (city VARCHAR, iata VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17725
} |
Which city's IATA is KUL? | SELECT city FROM table_name_50 WHERE iata = 'kul' | CREATE TABLE table_name_50 (city VARCHAR, iata VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17726
} |
The Brisbane airport is located in which country? | SELECT country FROM table_name_85 WHERE airport = 'brisbane airport' | CREATE TABLE table_name_85 (country VARCHAR, airport VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17727
} |
What is the sum of wins after 1999? | SELECT SUM(wins) FROM table_name_47 WHERE year > 1999 | CREATE TABLE table_name_47 (wins INTEGER, year INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17730
} |
What is the total years with more than 1 points? | SELECT SUM(year) FROM table_name_2 WHERE points > 1 | CREATE TABLE table_name_2 (year INTEGER, points INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17868
} |
How many goals did a player active since 2006 have? | SELECT goals FROM table_name_4 WHERE years_active = '2006' | CREATE TABLE table_name_4 (goals VARCHAR, years_active VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17936
} |
What is the transfer window of the Leeds United source with a move from Motherwell? | SELECT transfer_window FROM table_name_52 WHERE source = 'leeds united' AND moving_from = 'motherwell' | CREATE TABLE table_name_52 (transfer_window VARCHAR, source VARCHAR, moving_from VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17937
} |
What is the source of a move from Swindon Town? | SELECT source FROM table_name_43 WHERE moving_from = 'swindon town' | CREATE TABLE table_name_43 (source VARCHAR, moving_from VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17938
} |
What is the name of the country that has a transfer window of winter with an end after 2009 and moving from Bolton Wanderers? | SELECT country FROM table_name_45 WHERE transfer_window = 'winter' AND ends > 2009 AND moving_from = 'bolton wanderers' | CREATE TABLE table_name_45 (country VARCHAR, moving_from VARCHAR, transfer_window VARCHAR, ends VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17939
} |
What is the transfer fee of the move from Port Vale? | SELECT transfer_fee FROM table_name_34 WHERE moving_from = 'port vale' | CREATE TABLE table_name_34 (transfer_fee VARCHAR, moving_from VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17940
} |
What is the type of the Leeds United source, winter transfer window and moving from Northampton town? | SELECT type FROM table_name_65 WHERE source = 'leeds united' AND transfer_window = 'winter' AND moving_from = 'northampton town' | CREATE TABLE table_name_65 (type VARCHAR, moving_from VARCHAR, source VARCHAR, transfer_window VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17941
} |
What is the source of the move from Port Vale? | SELECT source FROM table_name_97 WHERE moving_from = 'port vale' | CREATE TABLE table_name_97 (source VARCHAR, moving_from VARCHAR) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17942
} |
What is the average silver medals a team ranked 12 with less than 2 bronze has? | SELECT AVG(silver) FROM table_name_28 WHERE rank = 12 AND bronze < 2 | CREATE TABLE table_name_28 (silver INTEGER, rank VARCHAR, bronze VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17943
} |
What is the average rank Finland, which has 1 bronze, more than 1 silver, and less than 0 gold, has? | SELECT AVG(rank) FROM table_name_6 WHERE bronze = 1 AND silver > 1 AND nation = 'finland' AND gold < 0 | CREATE TABLE table_name_6 (rank INTEGER, gold VARCHAR, nation VARCHAR, bronze VARCHAR, silver VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17944
} |
What is the lowest amount of gold a team with less than 2 total medals, ranked 17, and more than 0 silver medals, has? | SELECT MIN(gold) FROM table_name_62 WHERE total < 2 AND rank = 17 AND silver > 0 | CREATE TABLE table_name_62 (gold INTEGER, silver VARCHAR, total VARCHAR, rank VARCHAR) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extension_unchanged",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 17945
} |
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