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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
What is the Score with a Date that is 2008-06-28? | SELECT score FROM table_name_35 WHERE date = '2008-06-28' | CREATE TABLE table_name_35 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22717
} |
Which player was in the Omonia Nicosia club? | SELECT player FROM table_name_5 WHERE club = 'omonia nicosia' | CREATE TABLE table_name_5 (player VARCHAR(255), club VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22718
} |
Which league's nationality was Italy when there were 62 points? | SELECT league FROM table_name_20 WHERE nationality = 'italy' AND points = '62' | CREATE TABLE table_name_20 (league VARCHAR(255), nationality VARCHAR(255), points VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22719
} |
What is the value for the item "Lost" when the value "Tries" is 47? | SELECT lost FROM table_name_86 WHERE tries_for = '47' | CREATE TABLE table_name_86 (lost VARCHAR(255), tries_for VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22720
} |
What is the value for the item "Tries" when the value of the item "Played" is 18 and the value of the item "Points" is 375? | SELECT tries_for FROM table_name_16 WHERE played = '18' AND points_against = '375' | CREATE TABLE table_name_16 (tries_for VARCHAR(255), played VARCHAR(255), points_against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22721
} |
What is the value of the item "Points" when the value of the item "Points against" is 272? | SELECT points_for FROM table_name_62 WHERE points_against = '272' | CREATE TABLE table_name_62 (points_for VARCHAR(255), points_against VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22722
} |
Which Height (cm) has a Birthplace of bloomfield hills, michigan? | SELECT AVG(height__cm_) FROM table_name_52 WHERE birthplace = 'bloomfield hills, michigan' | CREATE TABLE table_name_52 (height__cm_ INTEGER, birthplace VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22723
} |
Which Height (cm) has a Birthplace of new canaan, connecticut? | SELECT COUNT(height__cm_) FROM table_name_52 WHERE birthplace = 'new canaan, connecticut' | CREATE TABLE table_name_52 (height__cm_ VARCHAR(255), birthplace VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22724
} |
Which Class has a Number at Lincoln smaller than 1 and a Wheel Arrangement of 0-6-0? | SELECT class FROM table_name_60 WHERE number_at_lincoln < 1 AND wheel_arrangement = '0-6-0' | CREATE TABLE table_name_60 (class VARCHAR(255), number_at_lincoln VARCHAR(255), wheel_arrangement VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22725
} |
Which Class has a Number at Lincoln larger than 0 and a Number at Doncaster of 8? | SELECT class FROM table_name_88 WHERE number_at_lincoln > 0 AND number_at_doncaster = 8 | CREATE TABLE table_name_88 (class VARCHAR(255), number_at_lincoln VARCHAR(255), number_at_doncaster VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22726
} |
What was the loss for Boris Picano-Nacci? | SELECT loss FROM table_name_94 WHERE name = 'boris picano-nacci' | CREATE TABLE table_name_94 (loss VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22727
} |
Which Score has smaller than 1994, and a Partner of elizabeth sayers smylie? | SELECT score FROM table_name_54 WHERE year < 1994 AND partner = 'elizabeth sayers smylie' | CREATE TABLE table_name_54 (score VARCHAR(255), year VARCHAR(255), partner VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22728
} |
Who was the Partner that was a winner, a Year smaller than 1993, and a Score of 6–4, 6–2? | SELECT partner FROM table_name_94 WHERE outcome = 'winner' AND year < 1993 AND score = '6–4, 6–2' | CREATE TABLE table_name_94 (partner VARCHAR(255), score VARCHAR(255), outcome VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22729
} |
What tournament had a victory of a 1 stroke margin and the final winning score 69-75-71-70? | SELECT tournament FROM table_name_1 WHERE margin_of_victory = '1 stroke' AND winning_score = '69-75-71-70' | CREATE TABLE table_name_1 (tournament VARCHAR(255), margin_of_victory VARCHAR(255), winning_score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22730
} |
Which Loera has a Source of surveyusa, and a Date of may 16–may 18, 2008? | SELECT loera FROM table_name_47 WHERE source = 'surveyusa' AND date = 'may 16–may 18, 2008' | CREATE TABLE table_name_47 (loera VARCHAR(255), source VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22731
} |
Which Goberman has a Date of april 28–april 30, 2008? | SELECT goberman FROM table_name_63 WHERE date = 'april 28–april 30, 2008' | CREATE TABLE table_name_63 (goberman VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22732
} |
Which Neville has a Novick of 23%? | SELECT neville FROM table_name_62 WHERE novick = '23%' | CREATE TABLE table_name_62 (neville VARCHAR(255), novick VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22733
} |
Which Goberman has an Obrist of 2%, and a Merkley of 34%? | SELECT goberman FROM table_name_9 WHERE obrist = '2%' AND merkley = '34%' | CREATE TABLE table_name_9 (goberman VARCHAR(255), obrist VARCHAR(255), merkley VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22734
} |
Which Novick has a Source of surveyusa, and a Neville of 8%? | SELECT novick FROM table_name_59 WHERE source = 'surveyusa' AND neville = '8%' | CREATE TABLE table_name_59 (novick VARCHAR(255), source VARCHAR(255), neville VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22735
} |
Which Date has a Novick of 26%? | SELECT date FROM table_name_48 WHERE novick = '26%' | CREATE TABLE table_name_48 (date VARCHAR(255), novick VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22736
} |
What is the Coach with a Big Ten that is 2nd (79)? | SELECT coach FROM table_name_72 WHERE big_ten = '2nd (79)' | CREATE TABLE table_name_72 (coach VARCHAR(255), big_ten VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22737
} |
What is the Season with a Big Ten that is 2nd (386)? | SELECT season FROM table_name_6 WHERE big_ten = '2nd (386)' | CREATE TABLE table_name_6 (season VARCHAR(255), big_ten VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22738
} |
What is the Coach with a Big Ten that is 3rd (278)? | SELECT coach FROM table_name_92 WHERE big_ten = '3rd (278)' | CREATE TABLE table_name_92 (coach VARCHAR(255), big_ten VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22739
} |
What is the Coach with a Big Ten that is 1st (148)? | SELECT coach FROM table_name_39 WHERE big_ten = '1st (148)' | CREATE TABLE table_name_39 (coach VARCHAR(255), big_ten VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22740
} |
What is the total of First Season games with 1537 Wins and a Season greater than 109? | SELECT SUM(first_season) FROM table_name_71 WHERE wins = 1537 AND seasons > 109 | CREATE TABLE table_name_71 (first_season INTEGER, wins VARCHAR(255), seasons VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22741
} |
How many wins were there for Washington State College with losses greater than 980 and a first season before 1906 and rank greater than 42? | SELECT COUNT(wins) FROM table_name_29 WHERE losses > 980 AND first_season < 1906 AND college = 'washington state' AND rank > 42 | CREATE TABLE table_name_29 (wins VARCHAR(255), rank VARCHAR(255), college VARCHAR(255), losses VARCHAR(255), first_season VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22742
} |
What is the total number of rank with losses less than 992, North Carolina State College and a season greater than 101? | SELECT COUNT(rank) FROM table_name_87 WHERE losses < 992 AND college = 'north carolina state' AND seasons > 101 | CREATE TABLE table_name_87 (rank VARCHAR(255), seasons VARCHAR(255), losses VARCHAR(255), college VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22743
} |
What is the total number of bronzes associated with 1 silver, ranks under 6 and under 6 golds? | SELECT SUM(bronze) FROM table_name_77 WHERE silver = 1 AND rank < 6 AND gold < 6 | CREATE TABLE table_name_77 (bronze INTEGER, gold VARCHAR(255), silver VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22744
} |
What is the highest number of bronzes for teams ranked number 7 with more than 0 silver? | SELECT MAX(bronze) FROM table_name_77 WHERE silver > 0 AND rank = 7 | CREATE TABLE table_name_77 (bronze INTEGER, silver VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22745
} |
What is the average total for teams with more than 1 gold, ranked over 3 and more than 3 bronze? | SELECT AVG(total) FROM table_name_39 WHERE gold > 1 AND rank > 3 AND bronze > 3 | CREATE TABLE table_name_39 (total INTEGER, bronze VARCHAR(255), gold VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22746
} |
What is the sum of bronzes for teams with more than 2 gold, ranked under 3, and less than 22 silver? | SELECT SUM(bronze) FROM table_name_82 WHERE gold > 2 AND rank < 3 AND silver < 22 | CREATE TABLE table_name_82 (bronze INTEGER, silver VARCHAR(255), gold VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22747
} |
What is the sum of silvers for teams with ranks over 3 and totals under 2? | SELECT SUM(silver) FROM table_name_98 WHERE rank > 3 AND total < 2 | CREATE TABLE table_name_98 (silver INTEGER, rank VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22748
} |
What is the number of Games for the Maccabi Tel Aviv Team with less than 208 Rebounds? | SELECT AVG(games) FROM table_name_47 WHERE team = 'maccabi tel aviv' AND rebounds < 208 | CREATE TABLE table_name_47 (games INTEGER, team VARCHAR(255), rebounds VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22749
} |
How many Rebounds did Novica Veličković get in less than 22 Games? | SELECT SUM(rebounds) FROM table_name_6 WHERE name = 'novica veličković' AND games < 22 | CREATE TABLE table_name_6 (rebounds INTEGER, name VARCHAR(255), games VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22750
} |
How many Games for Terence Morris? | SELECT games FROM table_name_57 WHERE name = 'terence morris' | CREATE TABLE table_name_57 (games VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22751
} |
What is the number of Games for Partizan Belgrade player Nikola Peković with a Rank of more than 4? | SELECT MIN(games) FROM table_name_25 WHERE team = 'partizan belgrade' AND name = 'nikola peković' AND rank > 4 | CREATE TABLE table_name_25 (games INTEGER, rank VARCHAR(255), team VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22752
} |
Which year's rank was #4 when the country was the US? | SELECT year FROM table_name_55 WHERE rank = '#4' AND country = 'us' | CREATE TABLE table_name_55 (year VARCHAR(255), rank VARCHAR(255), country VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22753
} |
Which publication happened in the UK? | SELECT publication FROM table_name_75 WHERE country = 'uk' | CREATE TABLE table_name_75 (publication VARCHAR(255), country 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": 22754
} |
Which rank's country is the US when the accolade is 40 best albums of the year? | SELECT rank FROM table_name_96 WHERE country = 'us' AND accolade = '40 best albums of the year' | CREATE TABLE table_name_96 (rank VARCHAR(255), country VARCHAR(255), accolade VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22755
} |
What is the nationality of the HMS Cheshire? | SELECT nationality FROM table_name_32 WHERE name = 'hms cheshire' | CREATE TABLE table_name_32 (nationality VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22756
} |
What was the final score with Guillermo Vilas as the opponent in the final, that happened after 1972? | SELECT score_in_the_final FROM table_name_81 WHERE opponent_in_the_final = 'guillermo vilas' AND date > 1972 | CREATE TABLE table_name_81 (score_in_the_final VARCHAR(255), opponent_in_the_final VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22757
} |
Which points has the driver Paul Tracy? | SELECT points FROM table_name_56 WHERE driver = 'paul tracy' | CREATE TABLE table_name_56 (points VARCHAR(255), driver VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22758
} |
What grid has 78 laps, and Ronnie Bremer as driver? | SELECT grid FROM table_name_54 WHERE laps = 78 AND driver = 'ronnie bremer' | CREATE TABLE table_name_54 (grid VARCHAR(255), laps VARCHAR(255), driver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22759
} |
Who scored with a grid of 10 and the highest amount of laps? | SELECT MAX(laps) FROM table_name_21 WHERE grid = 10 | CREATE TABLE table_name_21 (laps INTEGER, grid 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": 22760
} |
Who was Fourth in the 2008 Telstra Men's Pro Event? | SELECT fourth FROM table_name_93 WHERE event = '2008 telstra men''s pro' | CREATE TABLE table_name_93 (fourth VARCHAR(255), event VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22761
} |
Who was the Winner when Selby Riddle came in Fourth? | SELECT winner FROM table_name_26 WHERE fourth = 'selby riddle' | CREATE TABLE table_name_26 (winner VARCHAR(255), fourth 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": 22762
} |
Who was in Second Place with Isabelle Brayley came in Fourth? | SELECT second FROM table_name_31 WHERE fourth = 'isabelle brayley' | CREATE TABLE table_name_31 (second VARCHAR(255), fourth 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": 22763
} |
What is the average Total Freshwater Withdrawal (km 3 /yr), when Industrial Use (m 3 /p/yr)(in %) is 337(63%), and when Per Capita Withdrawal (m 3 /p/yr) is greater than 535? | SELECT AVG(total_freshwater_withdrawal__km_3__yr_) FROM table_name_5 WHERE industrial_use__m_3__p_yr__in__percentage_ = '337(63%)' AND per_capita_withdrawal__m_3__p_yr_ > 535 | CREATE TABLE table_name_5 (total_freshwater_withdrawal__km_3__yr_ INTEGER, industrial_use__m_3__p_yr__in__percentage_ VARCHAR(255), per_capita_withdrawal__m_3__p_yr_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22764
} |
What is the highest Per Capita Withdrawal (m 3 /p/yr), when Agricultural Use (m 3 /p/yr)(in %) is 1363(92%), and when Total Freshwater Withdrawal (km 3 /yr) is less than 42.7? | SELECT MAX(per_capita_withdrawal__m_3__p_yr_) FROM table_name_22 WHERE agricultural_use__m_3__p_yr__in__percentage_ = '1363(92%)' AND total_freshwater_withdrawal__km_3__yr_ < 42.7 | CREATE TABLE table_name_22 (per_capita_withdrawal__m_3__p_yr_ INTEGER, agricultural_use__m_3__p_yr__in__percentage_ VARCHAR(255), total_freshwater_withdrawal__km_3__yr_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22765
} |
What is Agricultural Use (m 3 /p/yr)(in %), when Per Capita Withdrawal (m 3 /p/yr) is greater than 923, and when Domestic Use (m 3 /p/yr)(in %) is 73(7%)? | SELECT agricultural_use__m_3__p_yr__in__percentage_ FROM table_name_7 WHERE per_capita_withdrawal__m_3__p_yr_ > 923 AND domestic_use__m_3__p_yr__in__percentage_ = '73(7%)' | CREATE TABLE table_name_7 (agricultural_use__m_3__p_yr__in__percentage_ VARCHAR(255), per_capita_withdrawal__m_3__p_yr_ VARCHAR(255), domestic_use__m_3__p_yr__in__percentage_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22766
} |
What is Industrial Use (m 3 /p/yr)(in %), when Total Freshwater Withdrawal (km 3/yr) is less than 82.75, and when Agricultural Use (m 3 /p/yr)(in %) is 1363(92%)? | SELECT industrial_use__m_3__p_yr__in__percentage_ FROM table_name_32 WHERE total_freshwater_withdrawal__km_3__yr_ < 82.75 AND agricultural_use__m_3__p_yr__in__percentage_ = '1363(92%)' | CREATE TABLE table_name_32 (industrial_use__m_3__p_yr__in__percentage_ VARCHAR(255), total_freshwater_withdrawal__km_3__yr_ VARCHAR(255), agricultural_use__m_3__p_yr__in__percentage_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22767
} |
Who was the leading score in the game at the Warriors? | SELECT leading_scorer FROM table_name_54 WHERE home = 'warriors' | CREATE TABLE table_name_54 (leading_scorer VARCHAR(255), home 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": 22768
} |
How many average cuts made when 11 is the Top-10? | SELECT AVG(cuts_made) FROM table_name_38 WHERE top_10 = 11 | CREATE TABLE table_name_38 (cuts_made INTEGER, top_10 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": 22769
} |
When the wins are less than 0 and the Top-5 1 what is the average cuts? | SELECT AVG(cuts_made) FROM table_name_31 WHERE top_5 = 1 AND wins < 0 | CREATE TABLE table_name_31 (cuts_made INTEGER, top_5 VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22770
} |
What is the average Top-10 with a greater than 11 Top-25 and a less than 2 wins? | SELECT AVG(top_10) FROM table_name_15 WHERE top_25 > 11 AND wins < 2 | CREATE TABLE table_name_15 (top_10 INTEGER, top_25 VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22771
} |
What is the total of wins when the cuts made is 76 and the events greater than 115? | SELECT SUM(wins) FROM table_name_3 WHERE cuts_made = 76 AND events > 115 | CREATE TABLE table_name_3 (wins INTEGER, cuts_made VARCHAR(255), events VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22772
} |
What is the lowest Top-25 that has 3 Events and Wins greater than 0? | SELECT MIN(top_25) FROM table_name_94 WHERE events = 3 AND wins > 0 | CREATE TABLE table_name_94 (top_25 INTEGER, events VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22774
} |
What is the Wins of the Top-25 of 1 and 7 Events? | SELECT wins FROM table_name_66 WHERE top_25 = 1 AND events = 7 | CREATE TABLE table_name_66 (wins VARCHAR(255), top_25 VARCHAR(255), events VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22775
} |
What is the total number of cuts made of tournaments with 2 Events? | SELECT COUNT(cuts_made) FROM table_name_81 WHERE events = 2 | CREATE TABLE table_name_81 (cuts_made VARCHAR(255), events VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22777
} |
Which Bleeding has a Condition of congenital afibrinogenemia? | SELECT bleeding_time FROM table_name_75 WHERE condition = 'congenital afibrinogenemia' | CREATE TABLE table_name_75 (bleeding_time VARCHAR(255), condition VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22778
} |
which Partial thromboplastin time has a Condition of liver failure , early? | SELECT partial_thromboplastin_time FROM table_name_61 WHERE condition = 'liver failure , early' | CREATE TABLE table_name_61 (partial_thromboplastin_time VARCHAR(255), condition VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22779
} |
Which Condition has an unaffected Partial thromboplastin time, Platelet count, and a Prothrombin time? | SELECT condition FROM table_name_46 WHERE partial_thromboplastin_time = 'unaffected' AND platelet_count = 'unaffected' AND prothrombin_time = 'unaffected' | CREATE TABLE table_name_46 (condition VARCHAR(255), prothrombin_time VARCHAR(255), partial_thromboplastin_time VARCHAR(255), platelet_count VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22780
} |
Which Condition has an unaffected Prothrombin time and a Bleeding time, and a Partial thromboplastin time of prolonged? | SELECT condition FROM table_name_73 WHERE prothrombin_time = 'unaffected' AND bleeding_time = 'unaffected' AND partial_thromboplastin_time = 'prolonged' | CREATE TABLE table_name_73 (condition VARCHAR(255), partial_thromboplastin_time VARCHAR(255), prothrombin_time VARCHAR(255), bleeding_time VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22781
} |
What margin was in after 1981, and was Roberto De Vicenzo runner-up? | SELECT margin FROM table_name_88 WHERE year > 1981 AND runner_s__up = 'roberto de vicenzo' | CREATE TABLE table_name_88 (margin VARCHAR(255), year VARCHAR(255), runner_s__up VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22782
} |
What is the number of bronze medals when the total medals were 78 and there were less than 12 golds? | SELECT SUM(bronze) FROM table_name_39 WHERE total = 78 AND gold < 12 | CREATE TABLE table_name_39 (bronze INTEGER, total VARCHAR, gold VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22784
} |
What is the average number of gold medals when the total was 1335 medals, with more than 469 bronzes and more than 14 silvers? | SELECT AVG(gold) FROM table_name_89 WHERE silver > 14 AND total = 1335 AND bronze > 469 | CREATE TABLE table_name_89 (gold INTEGER, bronze VARCHAR, silver VARCHAR, total VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22785
} |
What is the total amount of gold medals when there were more than 20 silvers and there were 135 bronze medals? | SELECT COUNT(gold) FROM table_name_22 WHERE silver > 20 AND bronze = 135 | CREATE TABLE table_name_22 (gold VARCHAR, silver VARCHAR, bronze VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22786
} |
Which rank has 1 silver medal and more than 1 gold medal? | SELECT rank FROM table_name_38 WHERE silver = 1 AND gold > 1 | CREATE TABLE table_name_38 (rank VARCHAR, silver VARCHAR, gold VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22789
} |
What is the Round when the number of fixtures is more than 2, and the Main date of 7 and 28 november 2007? | SELECT round FROM table_name_31 WHERE number_of_fixtures > 2 AND main_date = '7 and 28 november 2007' | CREATE TABLE table_name_31 (round VARCHAR, number_of_fixtures VARCHAR, main_date VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22793
} |
What are the highest wins with cuts smaller than 6, events of 4 and a top-5 smaller than 0? | SELECT MAX(wins) FROM table_name_74 WHERE cuts_made < 6 AND events = 4 AND top_5 < 0 | CREATE TABLE table_name_74 (wins INTEGER, top_5 VARCHAR, cuts_made VARCHAR, events VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22795
} |
What are the lowest top-5 with a top-25 larger than 4, 29 cuts and a top-10 larger than 18? | SELECT MIN(top_5) FROM table_name_62 WHERE top_25 > 4 AND cuts_made = 29 AND top_10 > 18 | CREATE TABLE table_name_62 (top_5 INTEGER, top_10 VARCHAR, top_25 VARCHAR, cuts_made VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22796
} |
What is the lowest for top-25 with events smaller than 42 in a U.S. Open with a top-10 smaller than 5? | SELECT MIN(top_25) FROM table_name_5 WHERE events < 42 AND tournament = 'u.s. open' AND top_10 < 5 | CREATE TABLE table_name_5 (top_25 INTEGER, top_10 VARCHAR, events VARCHAR, tournament VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22797
} |
Which birthplace's height in inches was more than 192 when the position was d and the birthday was April 5, 1983? | SELECT birthplace FROM table_name_70 WHERE height__in_ > 192 AND position = 'd' AND birthdate = 'april 5, 1983' | CREATE TABLE table_name_70 (birthplace VARCHAR, birthdate VARCHAR, height__in_ VARCHAR, position VARCHAR, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22798
} |
What nationality has steve kerr as the player? | SELECT nationality FROM table_name_95 WHERE player = 'steve kerr' | CREATE TABLE table_name_95 (nationality VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22799
} |
What years in Orlando have the United States as the nationality, with concord hs as the school/club team? | SELECT years_in_orlando FROM table_name_64 WHERE nationality = 'united states' AND school_club_team = 'concord hs' | CREATE TABLE table_name_64 (years_in_orlando VARCHAR(255), nationality VARCHAR(255), school_club_team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22800
} |
Which player has montana as the school/club team? | SELECT player FROM table_name_12 WHERE school_club_team = 'montana' | CREATE TABLE table_name_12 (player VARCHAR(255), school_club_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22801
} |
What nationality has jon koncak as the player? | SELECT nationality FROM table_name_70 WHERE player = 'jon koncak' | CREATE TABLE table_name_70 (nationality VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22802
} |
What years in orlando have the United States as the nationality, and montana as the school/club team? | SELECT years_in_orlando FROM table_name_16 WHERE nationality = 'united states' AND school_club_team = 'montana' | CREATE TABLE table_name_16 (years_in_orlando VARCHAR(255), nationality VARCHAR(255), school_club_team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22803
} |
What school/club team has tim kempton as the player? | SELECT school_club_team FROM table_name_25 WHERE player = 'tim kempton' | CREATE TABLE table_name_25 (school_club_team VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22804
} |
In the game where they played the Pittsburgh Steelers, what was the attendance? | SELECT attendance FROM table_name_66 WHERE opponent = 'pittsburgh steelers' | CREATE TABLE table_name_66 (attendance VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22805
} |
In the game on or before week 9, who was the opponent when the attendance was 61,626? | SELECT opponent FROM table_name_49 WHERE week < 9 AND attendance = '61,626' | CREATE TABLE table_name_49 (opponent VARCHAR(255), week VARCHAR(255), attendance VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22806
} |
On November 20, 1994, what was the result of the game? | SELECT result FROM table_name_65 WHERE date = 'november 20, 1994' | CREATE TABLE table_name_65 (result VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22807
} |
What is the team #2 with Deport as team #1? | SELECT team__number2 FROM table_name_31 WHERE team__number1 = 'deport' | CREATE TABLE table_name_31 (team__number2 VARCHAR(255), team__number1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22808
} |
What is the 2nd leg for the team #2 junior? | SELECT 2 AS nd_leg FROM table_name_18 WHERE team__number2 = 'junior' | CREATE TABLE table_name_18 (team__number2 VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 22809
} |
What is the 1st leg with a junior team #2? | SELECT 1 AS st_leg FROM table_name_5 WHERE team__number2 = 'junior' | CREATE TABLE table_name_5 (team__number2 VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 1"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 22810
} |
What is the total where the gold is larger than 2? | SELECT COUNT(total) FROM table_name_46 WHERE gold > 2 | CREATE TABLE table_name_46 (total VARCHAR(255), gold INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22812
} |
What is the smallest number of gold where the total is less than 3 and the silver count is 2? | SELECT MIN(gold) FROM table_name_42 WHERE silver = 2 AND total < 3 | CREATE TABLE table_name_42 (gold INTEGER, silver VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22813
} |
Which Against has a Drawn smaller than 5, and a Lost smaller than 6, and a Points larger than 36? | SELECT COUNT(against) FROM table_name_26 WHERE drawn < 5 AND lost < 6 AND points > 36 | CREATE TABLE table_name_26 (against VARCHAR(255), points VARCHAR(255), drawn VARCHAR(255), lost VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22814
} |
Which Played has a Lost larger than 9, and a Points smaller than 15, and a Position smaller than 12, and a Drawn smaller than 2? | SELECT AVG(played) FROM table_name_18 WHERE lost > 9 AND points < 15 AND position < 12 AND drawn < 2 | CREATE TABLE table_name_18 (played INTEGER, drawn VARCHAR(255), position 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": 22815
} |
How many weeks have october 31, 1954 as the date? | SELECT COUNT(week) FROM table_name_96 WHERE date = 'october 31, 1954' | CREATE TABLE table_name_96 (week VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22816
} |
What party took office after 1993 with Senator Michael Galloway? | SELECT party FROM table_name_61 WHERE took_office > 1993 AND senator = 'michael galloway' | CREATE TABLE table_name_61 (party VARCHAR(255), took_office VARCHAR(255), senator VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22817
} |
What year did Senator Ken Armbrister take office? | SELECT took_office FROM table_name_17 WHERE senator = 'ken armbrister' | CREATE TABLE table_name_17 (took_office VARCHAR(255), senator VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22818
} |
What is the total number of Bronze when gold is more than 1 and nation is total? | SELECT COUNT(bronze) FROM table_name_93 WHERE gold > 1 AND nation = 'total' | CREATE TABLE table_name_93 (bronze VARCHAR(255), gold VARCHAR(255), nation VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22820
} |
What is the average Bronze for rank 3 and total is more than 8? | SELECT AVG(bronze) FROM table_name_1 WHERE rank = '3' AND total > 8 | CREATE TABLE table_name_1 (bronze INTEGER, rank VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22821
} |
What is the sum of Total when rank is 2? | SELECT SUM(total) FROM table_name_46 WHERE rank = '2' | CREATE TABLE table_name_46 (total INTEGER, rank VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 22822
} |
What is the Nation when there is a total less than 27, gold is less than 1, and bronze is more than 1? | SELECT nation FROM table_name_62 WHERE total < 27 AND gold < 1 AND bronze > 1 | CREATE TABLE table_name_62 (nation VARCHAR(255), bronze VARCHAR(255), total VARCHAR(255), gold VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22823
} |
What is the earliest Year commissioned wiht an Average annual output greater than 58 and Installed capacity of 20? | SELECT MIN(year_commissioned) FROM table_name_64 WHERE average_annual_output__million_kwh_ > 58 AND installed_capacity__megawatts_ = 20 | CREATE TABLE table_name_64 (year_commissioned INTEGER, average_annual_output__million_kwh_ VARCHAR(255), installed_capacity__megawatts_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22824
} |
What is the Average annual output for Culligran power station with an Installed capacity less than 19? | SELECT AVG(average_annual_output__million_kwh_) FROM table_name_12 WHERE name = 'culligran' AND installed_capacity__megawatts_ < 19 | CREATE TABLE table_name_12 (average_annual_output__million_kwh_ INTEGER, name VARCHAR(255), installed_capacity__megawatts_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22825
} |
What is the Year commissioned of the power station with a Gross head of 60 metres and Average annual output of less than 59 million KWh? | SELECT MAX(year_commissioned) FROM table_name_75 WHERE gross_head__metres_ = 60 AND average_annual_output__million_kwh_ < 59 | CREATE TABLE table_name_75 (year_commissioned INTEGER, gross_head__metres_ VARCHAR(255), average_annual_output__million_kwh_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22827
} |
What is the sum of the area values for districts having density over 462 and websites of http://krishna.nic.in/? | SELECT SUM(area__km²_) FROM table_name_19 WHERE density___km²_ > 462 AND official_website = 'http://krishna.nic.in/' | CREATE TABLE table_name_19 (area__km²_ INTEGER, density___km²_ VARCHAR(255), official_website VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 22828
} |
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