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 profession of Skaj Vikler, who entered the house on day 1 and was evicted on day 29? | SELECT profession FROM table_name_1 WHERE entered_the_house = 'day 1' AND evicted = 'day 29' AND name = 'skaj vikler' | CREATE TABLE table_name_1 (profession VARCHAR(255), name VARCHAR(255), entered_the_house VARCHAR(255), evicted VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10817
} |
What is the profession of the housemate from Leskovac city? | SELECT profession FROM table_name_90 WHERE city = 'leskovac' | CREATE TABLE table_name_90 (profession VARCHAR(255), city VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10818
} |
When did slađana pejić, who was evicted on day 29, enter the house? | SELECT entered_the_house FROM table_name_82 WHERE evicted = 'day 29' AND name = 'slađana pejić' | CREATE TABLE table_name_82 (entered_the_house VARCHAR(255), evicted VARCHAR(255), name 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": 10819
} |
What is slađana pejić's profession? | SELECT profession FROM table_name_4 WHERE name = 'slađana pejić' | CREATE TABLE table_name_4 (profession VARCHAR(255), name 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": 10820
} |
What city is the housemate who entered the house on day 1 and whose profession was a tv presenter from? | SELECT city FROM table_name_84 WHERE entered_the_house = 'day 1' AND profession = 'tv presenter' | CREATE TABLE table_name_84 (city VARCHAR(255), entered_the_house VARCHAR(255), profession 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": 10821
} |
What is the profession of the housemate from Leskovac city? | SELECT profession FROM table_name_87 WHERE city = 'leskovac' | CREATE TABLE table_name_87 (profession VARCHAR(255), city 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": 10822
} |
What is the home team of the UEFA cup in the 2000-2001 season with a second round? | SELECT home FROM table_name_93 WHERE competition = 'uefa cup' AND season = '2000-2001' AND round = 'second round' | CREATE TABLE table_name_93 (home VARCHAR(255), round VARCHAR(255), competition VARCHAR(255), season 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": 10823
} |
What is the away team of the UEFA champions league? | SELECT away FROM table_name_67 WHERE competition = 'uefa champions league' | CREATE TABLE table_name_67 (away VARCHAR(255), competition 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": 10824
} |
Which Position has a League of southern league premier division, and a Season of 2004–05? | SELECT position FROM table_name_90 WHERE league = 'southern league premier division' AND season = '2004–05' | CREATE TABLE table_name_90 (position VARCHAR(255), league VARCHAR(255), season 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": 10825
} |
Which Draw has a Season of 2001–02, and Points larger than 47? | SELECT SUM(draw) FROM table_name_45 WHERE season = '2001–02' AND points > 47 | CREATE TABLE table_name_45 (draw INTEGER, season 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": 10826
} |
Which Lost is the highest one that has a Season of 2001–02, and Points larger than 47? | SELECT MAX(lost) FROM table_name_58 WHERE season = '2001–02' AND points > 47 | CREATE TABLE table_name_58 (lost INTEGER, season 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": 10827
} |
How many bronze numbers had a total of more than 4 when the rank is less than four, germany is involved, and there's less than 5 silver? | SELECT COUNT(bronze) FROM table_name_67 WHERE total > 4 AND rank < 4 AND nation = 'germany' AND silver < 5 | CREATE TABLE table_name_67 (bronze VARCHAR(255), silver VARCHAR(255), nation VARCHAR(255), total VARCHAR(255), rank 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": 10828
} |
Which Place has Phil Mickelson as the Player? | SELECT place FROM table_name_67 WHERE player = 'phil mickelson' | CREATE TABLE table_name_67 (place VARCHAR(255), player 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": 10829
} |
What is the To Par for Player Chris Riley? | SELECT to_par FROM table_name_62 WHERE player = 'chris riley' | CREATE TABLE table_name_62 (to_par VARCHAR(255), player 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": 10830
} |
Which Player has a Place of T2 and a Country listed as Fiji? | SELECT player FROM table_name_33 WHERE place = 't2' AND country = 'fiji' | CREATE TABLE table_name_33 (player VARCHAR(255), place VARCHAR(255), country 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": 10831
} |
What is the average Height when the weight is less than 91 and the position is d, and a Birthdate of july 4, 1975? | SELECT AVG(height__cm_) FROM table_name_66 WHERE weight__kg_ < 91 AND position = 'd' AND birthdate = 'july 4, 1975' | CREATE TABLE table_name_66 (height__cm_ INTEGER, birthdate VARCHAR(255), weight__kg_ VARCHAR(255), position 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": 10832
} |
What is the sum of Weight for the person born in virginia, minnesota? | SELECT SUM(weight__kg_) FROM table_name_39 WHERE birthplace = 'virginia, minnesota' | CREATE TABLE table_name_39 (weight__kg_ INTEGER, birthplace 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": 10833
} |
What is the Birthdate for the person with a height less than 191, and weight of 84 kg? | SELECT birthdate FROM table_name_23 WHERE height__cm_ < 191 AND weight__kg_ = 84 | CREATE TABLE table_name_23 (birthdate VARCHAR(255), height__cm_ VARCHAR(255), weight__kg_ 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": 10834
} |
What is the Position with a height of less than 183, and a weight of less than 91 kg and born in bloomington, minnesota? | SELECT position FROM table_name_73 WHERE height__cm_ < 183 AND weight__kg_ < 91 AND birthplace = 'bloomington, minnesota' | CREATE TABLE table_name_73 (position VARCHAR(255), birthplace VARCHAR(255), height__cm_ VARCHAR(255), weight__kg_ 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": 10835
} |
Which claimant's rank is 200? | SELECT claimant FROM table_name_7 WHERE rank = 200 | CREATE TABLE table_name_7 (claimant VARCHAR(255), rank 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": 10836
} |
What is the most points for South Ossetia? | SELECT highest_point FROM table_name_46 WHERE country = 'south ossetia' | CREATE TABLE table_name_46 (highest_point 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": 10837
} |
Which highest rank belongs to the palestinian territories? | SELECT MAX(rank) FROM table_name_85 WHERE country = 'palestinian territories' | CREATE TABLE table_name_85 (rank INTEGER, 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": 10838
} |
What is the highest amount of points for rank 95? | SELECT highest_point FROM table_name_49 WHERE rank = 95 | CREATE TABLE table_name_49 (highest_point VARCHAR(255), rank 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": 10839
} |
What season had a .439 Win% in the 1996-97 Team? | SELECT season FROM table_name_39 WHERE win_percentage = '.439' AND team = '1996-97' | CREATE TABLE table_name_39 (season VARCHAR(255), win_percentage VARCHAR(255), team 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": 10840
} |
What conference is the 1973-74 team in the Atlantic Division (Div.)? | SELECT conference__conf_ FROM table_name_95 WHERE division__div_ = 'atlantic' AND team = '1973-74' | CREATE TABLE table_name_95 (conference__conf_ VARCHAR(255), division__div_ VARCHAR(255), team 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": 10841
} |
Which season has a .354 Win%? | SELECT season FROM table_name_6 WHERE win_percentage = '.354' | CREATE TABLE table_name_6 (season VARCHAR(255), win_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": 10842
} |
What is the Win% of the 1989-90 Team? | SELECT win_percentage FROM table_name_44 WHERE team = '1989-90' | CREATE TABLE table_name_44 (win_percentage VARCHAR(255), team 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": 10843
} |
What is the High rebounds with a Team that is charlotte? | SELECT high_rebounds FROM table_name_68 WHERE team = 'charlotte' | CREATE TABLE table_name_68 (high_rebounds VARCHAR(255), team 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": 10844
} |
On what date was the rocket a TBD with a satellite of GPS IIIA-1? | SELECT date FROM table_name_16 WHERE rocket = 'tbd' AND satellite = 'gps iiia-1' | CREATE TABLE table_name_16 (date VARCHAR(255), rocket VARCHAR(255), satellite 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": 10845
} |
Which type is a satellite of GPS IIIA-2? | SELECT type FROM table_name_54 WHERE satellite = 'gps iiia-2' | CREATE TABLE table_name_54 (type VARCHAR(255), satellite 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": 10846
} |
What was the launch site for a satellite of GPS IIIA-2? | SELECT launch_site FROM table_name_74 WHERE satellite = 'gps iiia-2' | CREATE TABLE table_name_74 (launch_site VARCHAR(255), satellite 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": 10847
} |
What is Choreographer(s), when Chosen is Mary Murphy, and when Style is Contemporary? | SELECT choreographer_s_ FROM table_name_36 WHERE chosen_by = 'mary murphy' AND style = 'contemporary' | CREATE TABLE table_name_36 (choreographer_s_ VARCHAR(255), chosen_by VARCHAR(255), style 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": 10848
} |
What is Chosen By, when Couple is Katee Shean Joshua Allen, and when Choreographer(s) is Nakul Dev Mahajan? | SELECT chosen_by FROM table_name_10 WHERE couple = 'katee shean joshua allen' AND choreographer_s_ = 'nakul dev mahajan' | CREATE TABLE table_name_10 (chosen_by VARCHAR(255), couple VARCHAR(255), choreographer_s_ 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": 10849
} |
What is Style, when Choreographer(s) is Dave Scott? | SELECT style FROM table_name_17 WHERE choreographer_s_ = 'dave scott' | CREATE TABLE table_name_17 (style VARCHAR(255), choreographer_s_ 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": 10850
} |
What is Couple, when Choreographer(s) is Nakul Dev Mahajan? | SELECT couple FROM table_name_13 WHERE choreographer_s_ = 'nakul dev mahajan' | CREATE TABLE table_name_13 (couple VARCHAR(255), choreographer_s_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10851
} |
What is the average number for Northgate which commenced its construction before 1951? | SELECT AVG(number_on_map) FROM table_name_42 WHERE name = 'northgate' AND construction_commenced < 1951 | CREATE TABLE table_name_42 (number_on_map INTEGER, name VARCHAR(255), construction_commenced VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10852
} |
What is the lowest population for the neighborhood with the color blue that commenced its construction before 1987? | SELECT MIN(population) FROM table_name_20 WHERE colour = 'blue' AND construction_commenced < 1987 | CREATE TABLE table_name_20 (population INTEGER, colour VARCHAR(255), construction_commenced VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10853
} |
What is the lowest Top-10 when the Top-25 is 6, and a Tournament of u.s. open, and a Cut made larger than 9? | SELECT MIN(top_10) FROM table_name_44 WHERE top_25 = 6 AND tournament = 'u.s. open' AND cuts_made > 9 | CREATE TABLE table_name_44 (top_10 INTEGER, cuts_made VARCHAR(255), top_25 VARCHAR(255), tournament VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10855
} |
What is the lowest Top-25 when events shows 12, the top-5 is 1, and less than 11 cuts? | SELECT MIN(top_25) FROM table_name_63 WHERE events = 12 AND top_5 = 1 AND cuts_made < 11 | CREATE TABLE table_name_63 (top_25 INTEGER, cuts_made VARCHAR(255), events VARCHAR(255), top_5 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10856
} |
What is the Enrollment at Onalaska? | SELECT MAX(enrollment) FROM table_name_93 WHERE location = 'onalaska' | CREATE TABLE table_name_93 (enrollment INTEGER, location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10857
} |
What Public Institution is in Black River Falls? | SELECT institution FROM table_name_80 WHERE affiliation = 'public' AND location = 'black river falls' | CREATE TABLE table_name_80 (institution VARCHAR(255), affiliation VARCHAR(255), location VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10858
} |
What is the total number of Block for the Player with less than 85 Weight and more than 187 Height? | SELECT COUNT(block) FROM table_name_73 WHERE weight < 85 AND height > 187 | CREATE TABLE table_name_73 (block VARCHAR(255), weight VARCHAR(255), height VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10859
} |
What is the Name of the player with less than 342 Block, less than 87 Weight and Height more than 187? | SELECT name FROM table_name_50 WHERE block < 342 AND weight < 87 AND height > 187 | CREATE TABLE table_name_50 (name VARCHAR(255), height VARCHAR(255), block VARCHAR(255), weight VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10860
} |
What is the Weight of the player with a Block larger than 328, Spike greater than 375 and Height larger than 207? | SELECT COUNT(weight) FROM table_name_28 WHERE block > 328 AND height > 207 AND spike > 375 | CREATE TABLE table_name_28 (weight VARCHAR(255), spike VARCHAR(255), block VARCHAR(255), height VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10861
} |
What is the Result with a Category of album of the year in a Year that is 2011? | SELECT result FROM table_name_47 WHERE category = 'album of the year' AND year = 2011 | CREATE TABLE table_name_47 (result VARCHAR(255), category VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10862
} |
What is Season, when Name is Tony Boy Espinosa? | SELECT season FROM table_name_57 WHERE name = 'tony boy espinosa' | CREATE TABLE table_name_57 (season VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10863
} |
What is the average Number, when Position is Forward? | SELECT AVG(number) FROM table_name_13 WHERE position = 'forward' | CREATE TABLE table_name_13 (number INTEGER, position VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10864
} |
What is the lowest Number, when School/Club Team is Misamis Institute? | SELECT MIN(number) FROM table_name_30 WHERE school_club_team = 'misamis institute' | CREATE TABLE table_name_30 (number INTEGER, school_club_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10865
} |
What is School/Club Team, when Season is 2006-2012? | SELECT school_club_team FROM table_name_79 WHERE season = '2006-2012' | CREATE TABLE table_name_79 (school_club_team VARCHAR(255), season VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10866
} |
What is Acquisition via, when Season is 2006-2012? | SELECT acquisition_via FROM table_name_50 WHERE season = '2006-2012' | CREATE TABLE table_name_50 (acquisition_via VARCHAR(255), season VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10867
} |
What is Set 4, when Set 1 is 19-25, and when Set 2 is 23-25? | SELECT set_4 FROM table_name_33 WHERE set_1 = '19-25' AND set_2 = '23-25' | CREATE TABLE table_name_33 (set_4 VARCHAR(255), set_1 VARCHAR(255), set_2 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10868
} |
What is Set 1, when Set 4 is NA, when Score is 3-0, and when Set 2 is 29-27? | SELECT set_1 FROM table_name_30 WHERE set_4 = 'na' AND score = '3-0' AND set_2 = '29-27' | CREATE TABLE table_name_30 (set_1 VARCHAR(255), set_2 VARCHAR(255), set_4 VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10869
} |
What is Set 2, when Date is May 31? | SELECT set_2 FROM table_name_67 WHERE date = 'may 31' | CREATE TABLE table_name_67 (set_2 VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10870
} |
What is Set 1, when Set 2 is 17-25? | SELECT set_1 FROM table_name_22 WHERE set_2 = '17-25' | CREATE TABLE table_name_22 (set_1 VARCHAR(255), set_2 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10871
} |
What is Set 3, when Set 4 is 25-21, and when Date is Jun 14? | SELECT set_3 FROM table_name_79 WHERE set_4 = '25-21' AND date = 'jun 14' | CREATE TABLE table_name_79 (set_3 VARCHAR(255), set_4 VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10872
} |
What were the total number of Events, when the Top-5 was less than 2, and when the Top-25 was less than 3? | SELECT COUNT(events) FROM table_name_23 WHERE top_5 < 2 AND top_25 < 3 | CREATE TABLE table_name_23 (events VARCHAR(255), top_5 VARCHAR(255), top_25 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10873
} |
What was the total number of Top-25 values, for which Cuts made was 62, and for which Wins were less than 1? | SELECT COUNT(top_25) FROM table_name_37 WHERE cuts_made = 62 AND wins < 1 | CREATE TABLE table_name_37 (top_25 VARCHAR(255), cuts_made VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10874
} |
What was the total number of Cuts made, when Top-5 was greater than 3, and when Events were 85? | SELECT COUNT(cuts_made) FROM table_name_79 WHERE top_5 > 3 AND events = 85 | CREATE TABLE table_name_79 (cuts_made VARCHAR(255), top_5 VARCHAR(255), events VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10875
} |
What was the sum of Events, when Wins were less than 1, when Top-25 was 3, and when Top-5 was less than 1? | SELECT SUM(events) FROM table_name_57 WHERE wins < 1 AND top_25 = 3 AND top_5 < 1 | CREATE TABLE table_name_57 (events INTEGER, top_5 VARCHAR(255), wins VARCHAR(255), top_25 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10876
} |
What was the highest Top-10, when the Top-5 was greater than 3, when the Cuts made were 20, and when the Top-25 was more than 10? | SELECT MAX(top_10) FROM table_name_77 WHERE top_5 > 3 AND cuts_made = 20 AND top_25 > 10 | CREATE TABLE table_name_77 (top_10 INTEGER, top_25 VARCHAR(255), top_5 VARCHAR(255), cuts_made VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10877
} |
What was the lowest Top-10, when the Wins were 0, when the Top-25 was 12, and when the Events were less than 23? | SELECT MIN(top_10) FROM table_name_4 WHERE wins = 0 AND top_25 = 12 AND events < 23 | CREATE TABLE table_name_4 (top_10 INTEGER, events VARCHAR(255), wins VARCHAR(255), top_25 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10878
} |
What is the average Against when the drawn is more than 2 and the Difference of- 17, and a Played smaller than 20? | SELECT AVG(against) FROM table_name_88 WHERE drawn > 2 AND difference = '- 17' AND played < 20 | CREATE TABLE table_name_88 (against INTEGER, played VARCHAR(255), drawn VARCHAR(255), difference VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10879
} |
What is the number of Position when the team was são paulo railway and the against is less than 46? | SELECT COUNT(position) FROM table_name_28 WHERE team = 'são paulo railway' AND against < 46 | CREATE TABLE table_name_28 (position VARCHAR(255), team VARCHAR(255), against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10880
} |
What is the Team when the lost is less than 13, and the position is less than 4, with a Difference of 42? | SELECT team FROM table_name_58 WHERE lost < 13 AND position < 4 AND difference = '42' | CREATE TABLE table_name_58 (team VARCHAR(255), difference VARCHAR(255), lost VARCHAR(255), position VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10881
} |
What is the sum of Played when the drawn is less than 2 and against is more than 29? | SELECT SUM(played) FROM table_name_35 WHERE drawn < 2 AND against > 29 | CREATE TABLE table_name_35 (played INTEGER, drawn VARCHAR(255), against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10882
} |
Which Against has a Peel of waroona, and a Byes larger than 0? | SELECT MAX(against) FROM table_name_55 WHERE peel = 'waroona' AND byes > 0 | CREATE TABLE table_name_55 (against INTEGER, peel VARCHAR(255), byes VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10884
} |
Which Draws has a Wins smaller than 17, and an Against smaller than 1158? | SELECT COUNT(draws) FROM table_name_64 WHERE wins < 17 AND against < 1158 | CREATE TABLE table_name_64 (draws VARCHAR(255), wins VARCHAR(255), against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10885
} |
Which Draws has an Against larger than 1158, and a Wins of 9, and a Losses smaller than 9? | SELECT SUM(draws) FROM table_name_74 WHERE against > 1158 AND wins = 9 AND losses < 9 | CREATE TABLE table_name_74 (draws INTEGER, losses VARCHAR(255), against VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10886
} |
Which Losses has a Wins of 6, and an Against smaller than 1741? | SELECT MIN(losses) FROM table_name_56 WHERE wins = 6 AND against < 1741 | CREATE TABLE table_name_56 (losses INTEGER, wins VARCHAR(255), against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10887
} |
What venue was the game played in when the winner was the atlanta hawks (11)? | SELECT venue FROM table_name_81 WHERE winner = 'atlanta hawks (11)' | CREATE TABLE table_name_81 (venue VARCHAR(255), winner VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10888
} |
What team was the loser when the result was 119–113? | SELECT loser FROM table_name_83 WHERE result = '119–113' | CREATE TABLE table_name_83 (loser VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10889
} |
What is the Loser when the winner was los angeles lakers (10)? | SELECT loser FROM table_name_18 WHERE winner = 'los angeles lakers (10)' | CREATE TABLE table_name_18 (loser VARCHAR(255), winner VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10890
} |
What is the Venue when the result was 88–87? | SELECT venue FROM table_name_78 WHERE result = '88–87' | CREATE TABLE table_name_78 (venue VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10891
} |
What team was the winner when the result was 90–86? | SELECT winner FROM table_name_35 WHERE result = '90–86' | CREATE TABLE table_name_35 (winner VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10892
} |
What is the Result when the memphis grizzlies ( 2) were the loser? | SELECT result FROM table_name_10 WHERE loser = 'memphis grizzlies ( 2)' | CREATE TABLE table_name_10 (result VARCHAR(255), loser VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10893
} |
What year was the Win percentage 60%? | SELECT years FROM table_name_77 WHERE win_percentage = '60%' | CREATE TABLE table_name_77 (years VARCHAR(255), win_percentage VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10894
} |
What is the total number of Tests when the lost is less than 9 for sir fred allen? | SELECT COUNT(tests) FROM table_name_43 WHERE lost < 9 AND name = 'sir fred allen' | CREATE TABLE table_name_43 (tests VARCHAR(255), lost VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10895
} |
What is the Win percentage where there were 5 lost and 0 is drew? | SELECT win_percentage FROM table_name_62 WHERE lost = 5 AND drew = 0 | CREATE TABLE table_name_62 (win_percentage VARCHAR(255), lost VARCHAR(255), drew VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10896
} |
How many Campeonato Paulistas had a campeonato brasileiro of more than 2, an others number of more than 0, and a copa sudamericana of more than 5? | SELECT COUNT(campeonato_paulista) FROM table_name_72 WHERE campeonato_brasileiro > 2 AND others > 0 AND copa_sudamericana > 5 | CREATE TABLE table_name_72 (campeonato_paulista VARCHAR(255), copa_sudamericana VARCHAR(255), campeonato_brasileiro VARCHAR(255), others VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10897
} |
Which Unit has Authors of dalla vecchia, wild, & reitner? | SELECT unit FROM table_name_65 WHERE authors = 'dalla vecchia, wild, & reitner' | CREATE TABLE table_name_65 (unit VARCHAR, authors VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10899
} |
Where is two medicine formation? | SELECT location FROM table_name_46 WHERE unit = 'two medicine formation' | CREATE TABLE table_name_46 (location VARCHAR, unit VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10900
} |
What is varricchio's unit? | SELECT unit FROM table_name_75 WHERE authors = 'varricchio' | CREATE TABLE table_name_75 (unit VARCHAR, authors VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10901
} |
Which authors have a Unit of densuș-ciula formation? | SELECT authors FROM table_name_42 WHERE unit = 'densuș-ciula formation' | CREATE TABLE table_name_42 (authors VARCHAR, unit VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10902
} |
Which Status has a Unit of daohugou beds? | SELECT status FROM table_name_55 WHERE unit = 'daohugou beds' | CREATE TABLE table_name_55 (status VARCHAR, unit VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10903
} |
What is varricchio's status? | SELECT status FROM table_name_75 WHERE authors = 'varricchio' | CREATE TABLE table_name_75 (status VARCHAR, authors VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10904
} |
What is the points average when the tied is greater than 8, less than 82 games and the coach of Bryan Mclay † Morris Lallo ‡ Gerry Moore ‡, and greater than 322 goals? | SELECT AVG(points) FROM table_name_13 WHERE tied > 8 AND games < 82 AND coach = 'bryan mclay † morris lallo ‡ gerry moore ‡' AND goals_against > 322 | CREATE TABLE table_name_13 (points INTEGER, goals_against VARCHAR, coach VARCHAR, tied VARCHAR, games VARCHAR); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10905
} |
What are the most games when the points are 100 and goals for less than 356? | SELECT MAX(games) FROM table_name_23 WHERE points = 100 AND goals_for < 356 | CREATE TABLE table_name_23 (games INTEGER, points VARCHAR, goals_for VARCHAR); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10906
} |
What is the most points when the goals against are 354 and games less than 82? | SELECT MAX(points) FROM table_name_49 WHERE goals_against = 354 AND games < 82 | CREATE TABLE table_name_49 (points INTEGER, goals_against VARCHAR, games VARCHAR); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10907
} |
For games less than 70 and goals for greater than 335 what is the most points? | SELECT MAX(points) FROM table_name_85 WHERE goals_for > 335 AND games < 70 | CREATE TABLE table_name_85 (points INTEGER, goals_for VARCHAR, games VARCHAR); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10908
} |
What is Gold, when Total is less than 4, when Silver is 1, and when Bronze is 1? | SELECT gold FROM table_name_71 WHERE total < 4 AND silver = '1' AND bronze = '1' | CREATE TABLE table_name_71 (gold VARCHAR, bronze VARCHAR, total VARCHAR, silver VARCHAR); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10909
} |
What is Silver, when Total is greater than 4, when Bronze is 2, and when Rank is greater than 1? | SELECT silver FROM table_name_51 WHERE total > 4 AND bronze = '2' AND rank > 1 | CREATE TABLE table_name_51 (silver VARCHAR, rank VARCHAR, total VARCHAR, bronze VARCHAR); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10910
} |
Who was on the Socialist Labor ticket that had Arthur Levitt as the Liberal Ticket? | SELECT socialist_labor_ticket FROM table_name_60 WHERE liberal_ticket = 'arthur levitt' | CREATE TABLE table_name_60 (socialist_labor_ticket VARCHAR, liberal_ticket VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10911
} |
Robert S. Flanzer was the Free Libertarian ticket with who listed as the Liberal Ticket? | SELECT liberal_ticket FROM table_name_51 WHERE free_libertarian_ticket = 'robert s. flanzer' | CREATE TABLE table_name_51 (liberal_ticket VARCHAR, free_libertarian_ticket VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10912
} |
The Liberal Ticket listed which candidate when Jack A. Martin was listed on the Free Libertarian Ticket? | SELECT liberal_ticket FROM table_name_21 WHERE free_libertarian_ticket = 'jack a. martin' | CREATE TABLE table_name_21 (liberal_ticket VARCHAR, free_libertarian_ticket VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10913
} |
The person who is on the Democratic ticket for the position of Office of U.S. Senator was who? | SELECT democratic_ticket FROM table_name_68 WHERE office = 'u.s. senator' | CREATE TABLE table_name_68 (democratic_ticket VARCHAR, office VARCHAR); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10914
} |
Leland W. Schubert, Free Libertarian ticket, had who listed on the Democratic ticket? | SELECT democratic_ticket FROM table_name_56 WHERE free_libertarian_ticket = 'leland w. schubert' | CREATE TABLE table_name_56 (democratic_ticket VARCHAR(255), free_libertarian_ticket 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": 10915
} |
What is the lowest Extras for Chamara Kapugedera, with an E.R. less than 4.59? | SELECT MIN(extras) FROM table_name_50 WHERE name = 'chamara kapugedera' AND er < 4.59 | CREATE TABLE table_name_50 (extras INTEGER, name VARCHAR(255), er 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": 10916
} |
What is the highest Extras with an E.R. of 4.59, and more than 101 Runs Conceded? | SELECT MAX(extras) FROM table_name_9 WHERE er = 4.59 AND runs_conceded > 101 | CREATE TABLE table_name_9 (extras INTEGER, er VARCHAR(255), runs_conceded 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": 10917
} |
What is the average Extras for Muttiah Muralitharan, with less than 353 Runs Conceded? | SELECT AVG(extras) FROM table_name_38 WHERE name = 'muttiah muralitharan' AND runs_conceded < 353 | CREATE TABLE table_name_38 (extras INTEGER, name VARCHAR(255), runs_conceded 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": 10918
} |
What is the highest Extras for Farveez Maharoof, with more than 4 wickets? | SELECT MAX(extras) FROM table_name_79 WHERE name = 'farveez maharoof' AND wickets > 4 | CREATE TABLE table_name_79 (extras INTEGER, name VARCHAR(255), wickets 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": 10919
} |
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