question string | answer string | context string | dialect string | spider_hardness string | extended_hardness string | classification_status string | syntax_status string | ddl_syntax_status string | schema_status string | syntax_errors list | ddl_syntax_errors list | schema_errors list | classification_errors list | status_history list | correction_status string | component1 int64 | component2 int64 | others int64 | validation_source dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Which Class has a Chassis of Mazda 787B? | SELECT class FROM table_name_16 WHERE chassis = 'mazda 787b' | CREATE TABLE table_name_16 (class VARCHAR(255), chassis VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10276
} |
What Year has a Tyre of D, and Chassis of Mazda 787? | SELECT year FROM table_name_55 WHERE tyre = 'd' AND chassis = 'mazda 787' | CREATE TABLE table_name_55 (year VARCHAR(255), tyre VARCHAR(255), chassis 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": 10277
} |
In what week was the Result L 35-10? | SELECT MIN(week) FROM table_name_76 WHERE result = 'l 35-10' | CREATE TABLE table_name_76 (week INTEGER, result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10279
} |
What is listed for Played that has Points against of 263? | SELECT played FROM table_name_33 WHERE points_against = '263' | CREATE TABLE table_name_33 (played VARCHAR(255), points_against VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10280
} |
What is listed under Played that has a Club of Morriston RFC? | SELECT played FROM table_name_35 WHERE club = 'morriston rfc' | CREATE TABLE table_name_35 (played VARCHAR(255), club VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10281
} |
What is listed for the Tries against that has a Played of 22, along with a Club of Ystalyfera RFC? | SELECT tries_against FROM table_name_95 WHERE played = '22' AND club = 'ystalyfera rfc' | CREATE TABLE table_name_95 (tries_against VARCHAR(255), played VARCHAR(255), club VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10282
} |
What is listed for Points for that has a Club of Club? | SELECT points_for FROM table_name_14 WHERE 'club' = 'club' | CREATE TABLE table_name_14 (points_for VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 'club'"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10283
} |
Which Losing Bonus has a Try Bonus of 8? | SELECT losing_bonus FROM table_name_29 WHERE try_bonus = '8' | CREATE TABLE table_name_29 (losing_bonus VARCHAR(255), try_bonus VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10284
} |
What is listed for the Drawn that has a Tray bonus of 5 wiht Points for of 517? | SELECT drawn FROM table_name_23 WHERE try_bonus = '5' AND points_for = '517' | CREATE TABLE table_name_23 (drawn VARCHAR(255), try_bonus VARCHAR(255), points_for VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10285
} |
Name the average top-10 for cuts made of 10 and top-25 more than 6 | SELECT AVG(top_10) FROM table_name_57 WHERE cuts_made = 10 AND top_25 > 6 | CREATE TABLE table_name_57 (top_10 INTEGER, cuts_made VARCHAR(255), top_25 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10286
} |
Name the most top-5 for wins less than 0 and events less than 16 | SELECT MAX(top_5) FROM table_name_88 WHERE events < 16 AND wins < 0 | CREATE TABLE table_name_88 (top_5 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": 10287
} |
Name the least top-10 for cuts made less than 11 and wins more than 0 | SELECT MIN(top_10) FROM table_name_10 WHERE cuts_made < 11 AND wins > 0 | CREATE TABLE table_name_10 (top_10 INTEGER, 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": 10288
} |
Name the least cuts for top-5 more than 2 with top 25 less than 6 and top 10 less than 11 | SELECT MIN(cuts_made) FROM table_name_90 WHERE top_10 < 11 AND top_5 > 2 AND top_25 < 6 | CREATE TABLE table_name_90 (cuts_made INTEGER, top_25 VARCHAR(255), top_10 VARCHAR(255), top_5 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10289
} |
Has Episode 1b-16 (42) been preserved? | SELECT preservation FROM table_name_16 WHERE episode = '1b-16 (42)' | CREATE TABLE table_name_16 (preservation VARCHAR(255), episode VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10290
} |
What is the sum of all domestic passengers with 10.9% change and less than 4,022 tonnes in freight? | SELECT SUM(domestic_passengers) FROM table_name_38 WHERE _percentage_change_2005_2006 = '10.9%' AND freight__metric_tonnes_ < 4 OFFSET 022 | CREATE TABLE table_name_38 (domestic_passengers INTEGER, _percentage_change_2005_2006 VARCHAR(255), freight__metric_tonnes_ VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10291
} |
Which in 2004 has a 2003 of 1r and Wimbledon Tournament | SELECT 2004 FROM table_name_34 WHERE 2003 = '1r' AND tournament = 'wimbledon' | CREATE TABLE table_name_34 (tournament VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2004"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10292
} |
What is in 2007 has 2004 olympic games? | SELECT 2007 FROM table_name_16 WHERE 2004 = 'olympic games' | CREATE TABLE table_name_16 (Id VARCHAR(255), data VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2007"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10293
} |
What is in 2002 has a 2001 score 1–0, and a 2000 of 3–0? | SELECT 2002 FROM table_name_85 WHERE 2001 = '1–0' AND 2000 = '3–0' | CREATE TABLE table_name_85 (Id VARCHAR(255), description VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2002"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10294
} |
What is in 2003 that has a Career Win-Loss of 6–7 | SELECT 2003 FROM table_name_84 WHERE career_win_loss = '6–7' | CREATE TABLE table_name_84 (career_win_loss VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2003"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10295
} |
What is the score of the game that had a decision of Parent, home team of Philadelphia, and visitor of Pittsburgh? | SELECT score FROM table_name_11 WHERE decision = 'parent' AND home = 'philadelphia' AND visitor = 'pittsburgh' | CREATE TABLE table_name_11 (score VARCHAR(255), visitor VARCHAR(255), decision VARCHAR(255), home VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10296
} |
Which Cuts made is the highest one that has a Top-5 of 1, and a Top-25 larger than 16? | SELECT MAX(cuts_made) FROM table_name_89 WHERE top_5 = 1 AND top_25 > 16 | CREATE TABLE table_name_89 (cuts_made INTEGER, 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": 10298
} |
Which Events is the highest one that has a Top-5 larger than 5, and a Top-10 larger than 28? | SELECT MAX(events) FROM table_name_93 WHERE top_5 > 5 AND top_10 > 28 | CREATE TABLE table_name_93 (events INTEGER, top_5 VARCHAR(255), top_10 VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10299
} |
When was the earliest that New England Patriots played? | SELECT MIN(week) FROM table_name_80 WHERE opponent = 'new england patriots' | CREATE TABLE table_name_80 (week INTEGER, opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10300
} |
What is the average week with St. Louis Cardinals with less than 80,010 attendance? | SELECT AVG(week) FROM table_name_99 WHERE opponent = 'st. louis cardinals' AND attendance < 80 OFFSET 010 | CREATE TABLE table_name_99 (week INTEGER, opponent VARCHAR(255), attendance VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10301
} |
Which Runs is the highest one that has a Match larger than 63, and a Venue of national stadium, karachi, and a Year smaller than 1996? | SELECT MAX(runs) FROM table_name_75 WHERE match > 63 AND venue = 'national stadium, karachi' AND year < 1996 | CREATE TABLE table_name_75 (runs INTEGER, year VARCHAR(255), match VARCHAR(255), venue VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10302
} |
Which Year has a Match of 63? | SELECT year FROM table_name_82 WHERE match = 63 | CREATE TABLE table_name_82 (year VARCHAR(255), match VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10303
} |
Which Match has Runs of 100, and a Year larger than 1994? | SELECT SUM(match) FROM table_name_14 WHERE runs = 100 AND year > 1994 | CREATE TABLE table_name_14 (match INTEGER, runs VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10304
} |
How many matches have a City/Country of karachi, pakistan, and a Year larger than 1996? | SELECT COUNT(match) FROM table_name_63 WHERE city_country = 'karachi, pakistan' AND year > 1996 | CREATE TABLE table_name_63 (match VARCHAR(255), city_country VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10305
} |
What is the highest number of Silvers for rank 7 teams with 1 gold and under 1 bronze? | SELECT MAX(silver) FROM table_name_37 WHERE bronze < 1 AND gold = 1 AND rank = '7' | CREATE TABLE table_name_37 (silver INTEGER, rank VARCHAR(255), bronze VARCHAR(255), gold VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10306
} |
What is the fewest number of silvers for teams with more than 21 gold and more than 4 bronze? | SELECT MIN(silver) FROM table_name_56 WHERE bronze > 4 AND gold > 21 | CREATE TABLE table_name_56 (silver INTEGER, bronze VARCHAR(255), gold VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10307
} |
What is the average number of silvers for teams ranked 5 with 0 bronze? | SELECT AVG(silver) FROM table_name_31 WHERE rank = '5' AND bronze < 0 | CREATE TABLE table_name_31 (silver INTEGER, rank VARCHAR(255), bronze VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10308
} |
Where was the game with a result of won 5-0? | SELECT venue FROM table_name_6 WHERE result = 'won 5-0' | CREATE TABLE table_name_6 (venue VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10309
} |
What was the date of the game with a result of won 4-2? | SELECT date FROM table_name_15 WHERE result = 'won 4-2' | CREATE TABLE table_name_15 (date VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10310
} |
What was the date of the game against Hayes & Yeading United? | SELECT date FROM table_name_60 WHERE opponent = 'hayes & yeading united' | CREATE TABLE table_name_60 (date VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10311
} |
Where was the game with a result of won 5-0? | SELECT venue FROM table_name_25 WHERE result = 'won 5-0' | CREATE TABLE table_name_25 (venue VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10312
} |
If the RR Rate is less than 0.75 with a result of RR:08,09, what is the average appeared? | SELECT AVG(appeared) FROM table_name_56 WHERE rr_w_rate < 0.75 AND result = 'rr:08,09' | CREATE TABLE table_name_56 (appeared INTEGER, rr_w_rate VARCHAR(255), result VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10313
} |
For Angelique Kerber who had an RR Rate of less than 0.33, what's the appeared? | SELECT SUM(appeared) FROM table_name_87 WHERE rr_w_rate < 0.33 AND player = 'angelique kerber' | CREATE TABLE table_name_87 (appeared INTEGER, rr_w_rate VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10315
} |
What is the area (km²) of Nairnshire county, which has a population less than 11,050? | SELECT SUM(area__km²_) FROM table_name_34 WHERE county = 'nairnshire' AND population < 11 OFFSET 050 | CREATE TABLE table_name_34 (area__km²_ INTEGER, county VARCHAR(255), population VARCHAR(255)) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10316
} |
What was the Attendance of August 26? | SELECT attendance FROM table_name_14 WHERE date = 'august 26' | CREATE TABLE table_name_14 (attendance VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10317
} |
What is the highest number of severe tropical cyclones when there are 10 tropical cyclones and 14 tropical lows? | SELECT MAX(Severe) AS tropical_cyclones FROM table_name_78 WHERE tropical_cyclones = 10 AND tropical_lows = 14 | CREATE TABLE table_name_78 (Severe INTEGER, tropical_cyclones VARCHAR(255), tropical_lows VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10318
} |
Which track in Austria has Bobsleigh-skeleton curves with a grade of 14%? | SELECT track FROM table_name_82 WHERE bobsleigh_skeleton_curves = '14' AND country = 'austria' | CREATE TABLE table_name_82 (track VARCHAR(255), bobsleigh_skeleton_curves VARCHAR(255), country VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10319
} |
What is the shortest length of a track in Norway that has a maximum grade of 15% and a vertical drop less than 122.22 m? | SELECT MIN(length__m_) FROM table_name_72 WHERE maximum_grade___percentage_ = '15' AND vertical_drop__m_ < 122.22 AND country = 'norway' | CREATE TABLE table_name_72 (length__m_ INTEGER, country VARCHAR(255), maximum_grade___percentage_ VARCHAR(255), vertical_drop__m_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10320
} |
What is the highest vertical drop among the 1,200 meter long tracks? | SELECT MAX(vertical_drop__m_) FROM table_name_9 WHERE length__m_ = 1 OFFSET 200 | CREATE TABLE table_name_9 (vertical_drop__m_ INTEGER, length__m_ VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10321
} |
How many Attendance has a Opponent of west bromwich albion, and a Result of 3 – 3, and a Match larger than 20? | SELECT SUM(attendance) FROM table_name_79 WHERE opponent = 'west bromwich albion' AND result = '3 – 3' AND match > 20 | CREATE TABLE table_name_79 (attendance INTEGER, match VARCHAR(255), opponent VARCHAR(255), result VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10322
} |
WHich Match has a Venue of h on 22 september 1888 with Attendances smaller than 4,000? | SELECT MAX(match) FROM table_name_99 WHERE venue = 'h' AND date = '22 september 1888' AND attendance < 4 OFFSET 000 | CREATE TABLE table_name_99 (match INTEGER, attendance VARCHAR(255), venue VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | medium | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 10323
} |
What is the venue of the match on 5 April 2000? | SELECT venue FROM table_name_45 WHERE date = '5 april 2000' | CREATE TABLE table_name_45 (venue VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10324
} |
What is the round number of the match with Michael Buell as the opponent? | SELECT round FROM table_name_66 WHERE opponent = 'michael buell' | CREATE TABLE table_name_66 (round VARCHAR(255), opponent VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10325
} |
What is the time of the match with a win result, more than 2 rounds, and Makoto Ishikawa as the opponent? | SELECT time FROM table_name_74 WHERE res = 'win' AND round > 2 AND opponent = 'makoto ishikawa' | CREATE TABLE table_name_74 (time VARCHAR(255), opponent VARCHAR(255), res VARCHAR(255), round 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": 10326
} |
what team scored 65-87 | SELECT date FROM table_name_83 WHERE record = '65-87' | CREATE TABLE table_name_83 (date VARCHAR(255), record 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": 10327
} |
what was the score on september 14 | SELECT score FROM table_name_43 WHERE date = 'september 14' | CREATE TABLE table_name_43 (score VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10328
} |
What form factor has capacities at 60/120/180/240? | SELECT form_factor FROM table_name_65 WHERE capacities__gb_ = '60/120/180/240' | CREATE TABLE table_name_65 (form_factor VARCHAR(255), capacities__gb_ 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": 10329
} |
Which value for Form factor has Sandforce with Capacity 80/120/180/240/360/480 introduced in July 2013? | SELECT form_factor FROM table_name_84 WHERE controller = 'sandforce' AND capacities__gb_ = '80/120/180/240/360/480' AND introduced = 'july 2013' | CREATE TABLE table_name_84 (form_factor VARCHAR(255), introduced VARCHAR(255), controller VARCHAR(255), capacities__gb_ 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": 10330
} |
Which controller has an interface of pcie 2.0 × 8? | SELECT controller FROM table_name_37 WHERE interface = 'pcie 2.0 × 8' | CREATE TABLE table_name_37 (controller VARCHAR(255), interface 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": 10331
} |
Which controller is NAND type 25nm mlc-het with sequential read/write MB/s of 270/210? | SELECT controller FROM table_name_67 WHERE nand_type = '25nm mlc-het' AND seq_read_write_mb_s = '270/210' | CREATE TABLE table_name_67 (controller VARCHAR(255), nand_type VARCHAR(255), seq_read_write_mb_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": 10332
} |
Which interface uses Sandforce with a code name of Sierra Star? | SELECT interface FROM table_name_27 WHERE controller = 'sandforce' AND codename = 'sierra star' | CREATE TABLE table_name_27 (interface VARCHAR(255), controller VARCHAR(255), codename 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": 10333
} |
What is the Highest finish with a Most recent finish that was 2nd? | SELECT highest_finish FROM table_name_48 WHERE most_recent_finish = '2nd' | CREATE TABLE table_name_48 (highest_finish VARCHAR(255), most_recent_finish 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": 10334
} |
What is the result of the game at the Shea Stadium at 12:30pm (ET)? | SELECT result FROM table_name_94 WHERE time___et__ = '12:30pm' AND location = 'shea stadium' | CREATE TABLE table_name_94 (result VARCHAR(255), time___et__ VARCHAR(255), location 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": 10335
} |
Which Played is the lowest one that has a Blackpool smaller than 0? | SELECT MIN(played) FROM table_name_57 WHERE blackpool < 0 | CREATE TABLE table_name_57 (played INTEGER, blackpool INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10336
} |
Which Blackpool is the highest one that has a Draw larger than 18? | SELECT MAX(blackpool) FROM table_name_82 WHERE draw > 18 | CREATE TABLE table_name_82 (blackpool INTEGER, draw INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10337
} |
How much Preston North End has a Blackpool smaller than 0? | SELECT COUNT(preston_north_end) FROM table_name_90 WHERE blackpool < 0 | CREATE TABLE table_name_90 (preston_north_end VARCHAR(255), blackpool INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10338
} |
Which Blackpool has a Preston North End smaller than 46, and a Competition of other, and a Draw larger than 1? | SELECT SUM(blackpool) FROM table_name_94 WHERE preston_north_end < 46 AND competition = 'other' AND draw > 1 | CREATE TABLE table_name_94 (blackpool INTEGER, draw VARCHAR(255), preston_north_end VARCHAR(255), competition VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10339
} |
What is the finish for the chip ganassi racing team that was later than 2010 and a Start of 17? | SELECT finish FROM table_name_82 WHERE team = 'chip ganassi racing' AND year > 2010 AND start = '17' | CREATE TABLE table_name_82 (finish VARCHAR(255), start VARCHAR(255), team VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10340
} |
What is shown for Chassis for the year of 2007? | SELECT chassis FROM table_name_70 WHERE year = 2007 | CREATE TABLE table_name_70 (chassis VARCHAR(255), year VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10341
} |
What is the name of the team with a finish of 19? | SELECT team FROM table_name_48 WHERE finish = '19' | CREATE TABLE table_name_48 (team VARCHAR(255), finish VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10342
} |
What is the Finish when the start shows 3 in the year of 2010? | SELECT finish FROM table_name_74 WHERE start = '3' AND year = 2010 | CREATE TABLE table_name_74 (finish VARCHAR(255), start VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10343
} |
What is the Engine with 3 as the start in the year of 2007? | SELECT engine FROM table_name_8 WHERE start = '3' AND year = 2007 | CREATE TABLE table_name_8 (engine VARCHAR(255), start VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10344
} |
What was the Score on October 24, 1982 in Tokyo, Japan? | SELECT score FROM table_name_60 WHERE tournament = 'tokyo, japan' AND date = 'october 24, 1982' | CREATE TABLE table_name_60 (score VARCHAR(255), tournament VARCHAR(255), date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10345
} |
What Tournament on October 24, 1982 had Alycia Moulton as the Partner? | SELECT tournament FROM table_name_23 WHERE date = 'october 24, 1982' AND partner = 'alycia moulton' | CREATE TABLE table_name_23 (tournament VARCHAR(255), date VARCHAR(255), partner VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10346
} |
Who were the Opponents when Laura DuPont had Pam Shriver as Partner with a Score of 6-3, 6-3? | SELECT opponents FROM table_name_10 WHERE partner = 'pam shriver' AND score = '6-3, 6-3' | CREATE TABLE table_name_10 (opponents VARCHAR(255), partner VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10347
} |
On what Surface was the match with a Score of 3-6, 1-6 played? | SELECT surface FROM table_name_99 WHERE score = '3-6, 1-6' | CREATE TABLE table_name_99 (surface VARCHAR(255), score VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10348
} |
In what Tournament was Barbara Jordan a Partner with a Score of 6-2, 3-6, 3-6? | SELECT tournament FROM table_name_85 WHERE partner = 'barbara jordan' AND score = '6-2, 3-6, 3-6' | CREATE TABLE table_name_85 (tournament VARCHAR(255), partner VARCHAR(255), score VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10349
} |
Name the points with tries for of 40 | SELECT points_for FROM table_name_62 WHERE tries_for = '40' | CREATE TABLE table_name_62 (points_for VARCHAR(255), tries_for VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10350
} |
Name the played with losing bonus of 3 and points against of 426 | SELECT played FROM table_name_37 WHERE losing_bonus = '3' AND points_against = '426' | CREATE TABLE table_name_37 (played VARCHAR(255), losing_bonus VARCHAR(255), points_against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10351
} |
Name the club with points of 56 | SELECT club FROM table_name_9 WHERE points = '56' | CREATE TABLE table_name_9 (club VARCHAR(255), points VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10352
} |
Name the points against for porthcawl rfc | SELECT points_against FROM table_name_87 WHERE club = 'porthcawl rfc' | CREATE TABLE table_name_87 (points_against VARCHAR(255), club VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10353
} |
Name the club for drawn of 0 and lost of 0 | SELECT club FROM table_name_92 WHERE drawn = '0' AND lost = '0' | CREATE TABLE table_name_92 (club 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": 10354
} |
Name the points with lost of 19 | SELECT points FROM table_name_96 WHERE lost = '19' | CREATE TABLE table_name_96 (points VARCHAR(255), lost VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10355
} |
result is lost re-election republican gain, what is the district? | SELECT district FROM table_name_48 WHERE result = 'lost re-election republican gain' | CREATE TABLE table_name_48 (district VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10356
} |
Which Winning constructor has a Winning driver of felice nazzaro? | SELECT winning_constructor FROM table_name_52 WHERE winning_driver = 'felice nazzaro' | CREATE TABLE table_name_52 (winning_constructor VARCHAR(255), winning_driver VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10357
} |
Who is Winning driver on 18 may? | SELECT winning_driver FROM table_name_30 WHERE date = '18 may' | CREATE TABLE table_name_30 (winning_driver VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10358
} |
WHo is Winning driver that is in st. petersburg - moscow? | SELECT winning_driver FROM table_name_73 WHERE name = 'st. petersburg - moscow' | CREATE TABLE table_name_73 (winning_driver VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10359
} |
Which Date has a Winning constructor of fiat and a Winning driver of louis wagner? | SELECT date FROM table_name_34 WHERE winning_constructor = 'fiat' AND winning_driver = 'louis wagner' | CREATE TABLE table_name_34 (date VARCHAR(255), winning_constructor VARCHAR(255), winning_driver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10360
} |
Which Report is on 1 june? | SELECT report FROM table_name_13 WHERE date = '1 june' | CREATE TABLE table_name_13 (report VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10361
} |
When is vanderbilt cup in? | SELECT date FROM table_name_55 WHERE name = 'vanderbilt cup' | CREATE TABLE table_name_55 (date VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10362
} |
Which event is in round 1 with a record at 5-1? | SELECT event FROM table_name_28 WHERE round = 1 AND record = '5-1' | CREATE TABLE table_name_28 (event VARCHAR(255), round VARCHAR(255), record VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10363
} |
When the country is Cambodia and the total is smaller than 1 what's the lowest silver? | SELECT MIN(silver) FROM table_name_42 WHERE country = 'cambodia' AND total < 1 | CREATE TABLE table_name_42 (silver INTEGER, country VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10364
} |
What is the highest gold for Cambodia when the total is less than 1? | SELECT MAX(gold) FROM table_name_94 WHERE country = 'cambodia' AND total < 1 | CREATE TABLE table_name_94 (gold INTEGER, country VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10365
} |
What is the total silver when bronze is smaller than 0? | SELECT COUNT(silver) FROM table_name_92 WHERE bronze < 0 | CREATE TABLE table_name_92 (silver VARCHAR(255), bronze INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10366
} |
What is the total when the gold of 0, and a bronze larger than 1? | SELECT MAX(total) FROM table_name_25 WHERE gold = 0 AND bronze > 1 | CREATE TABLE table_name_25 (total INTEGER, gold VARCHAR(255), bronze VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10367
} |
What is the total when bronze has a silver larger than 2? | SELECT COUNT(bronze) FROM table_name_12 WHERE silver > 2 | CREATE TABLE table_name_12 (bronze VARCHAR(255), silver INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10368
} |
What is the sum of silver medals for teams with more than 14 total medals and more than 16 golds? | SELECT SUM(silver) FROM table_name_14 WHERE total > 14 AND gold > 16 | CREATE TABLE table_name_14 (silver INTEGER, total VARCHAR(255), gold VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10369
} |
What is the rank of the team having 3 bronzes and 0 silver? | SELECT rank FROM table_name_79 WHERE bronze = 3 AND silver = 0 | CREATE TABLE table_name_79 (rank VARCHAR(255), bronze VARCHAR(255), silver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10370
} |
How many tries against did the club with 383 points against have? | SELECT tries_against FROM table_name_39 WHERE points_against = '383' | CREATE TABLE table_name_39 (tries_against VARCHAR(255), points_against 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": 10371
} |
How many tries against did the club with 48 tries for have? | SELECT tries_against FROM table_name_90 WHERE tries_for = '48' | CREATE TABLE table_name_90 (tries_against VARCHAR(255), tries_for 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": 10372
} |
How many points did the club with 13 losses and 461 points against have? | SELECT points FROM table_name_59 WHERE lost = '13' AND points_against = '461' | CREATE TABLE table_name_59 (points VARCHAR(255), lost VARCHAR(255), points_against 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": 10373
} |
How many tries against did Pentyrch RFC have? | SELECT tries_against FROM table_name_92 WHERE club = 'pentyrch rfc' | CREATE TABLE table_name_92 (tries_against VARCHAR(255), club 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": 10374
} |
What is the lowest drawn that has games less than 7? | SELECT MIN(drawn) FROM table_name_83 WHERE games < 7 | CREATE TABLE table_name_83 (drawn INTEGER, games INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10375
} |
Hoe many of lost have points greater than 14? | SELECT COUNT(lost) FROM table_name_50 WHERE points > 14 | CREATE TABLE table_name_50 (lost VARCHAR(255), points INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10376
} |
How many of lost have 11 as the points, and a drawn greater than 1? | SELECT COUNT(lost) FROM table_name_81 WHERE points = 11 AND drawn > 1 | CREATE TABLE table_name_81 (lost VARCHAR(255), points VARCHAR(255), drawn 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": 10377
} |
What is the lowest game that has a drawn less than 0? | SELECT MIN(games) FROM table_name_26 WHERE drawn < 0 | CREATE TABLE table_name_26 (games INTEGER, drawn INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10378
} |
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