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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
On what Date is the Blue Coalition 8,80%? | SELECT date FROM table_name_62 WHERE blue_coalition = '8,80%' | CREATE TABLE table_name_62 (date VARCHAR(255), blue_coalition VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10496
} |
What Source has an Attack of 9,77%? | SELECT source FROM table_name_8 WHERE attack = '9,77%' | CREATE TABLE table_name_8 (source VARCHAR(255), attack VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10497
} |
What Attack has a Source of NCIOM? | SELECT attack FROM table_name_71 WHERE source = 'nciom' | CREATE TABLE table_name_71 (attack VARCHAR(255), source VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10498
} |
What Attack has a 30,00% GERB? | SELECT attack FROM table_name_74 WHERE gerb = '30,00%' | CREATE TABLE table_name_74 (attack VARCHAR(255), gerb VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10499
} |
What GERB has an 11% Attack? | SELECT gerb FROM table_name_16 WHERE attack = '11%' | CREATE TABLE table_name_16 (gerb VARCHAR(255), attack VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10500
} |
Which Tie # has a Score of 3–0, and a Home team of bristol rovers? | SELECT tie_no FROM table_name_39 WHERE score = '3–0' AND home_team = 'bristol rovers' | CREATE TABLE table_name_39 (tie_no VARCHAR(255), score VARCHAR(255), home_team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10501
} |
Which Score has a Home team of yeovil town won 5–3 on penalties? | SELECT score FROM table_name_82 WHERE home_team = 'yeovil town won 5–3 on penalties' | CREATE TABLE table_name_82 (score VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10502
} |
Which Tie # has an Away team of slough town? | SELECT tie_no FROM table_name_66 WHERE away_team = 'slough town' | CREATE TABLE table_name_66 (tie_no VARCHAR(255), away_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10503
} |
Which Attendance has a Tie # of 32? | SELECT attendance FROM table_name_13 WHERE tie_no = '32' | CREATE TABLE table_name_13 (attendance VARCHAR(255), tie_no VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10504
} |
Which Away team has a Tie # of replay, and an Attendance of 24 november 1998, and a Home team of rotherham united? | SELECT away_team FROM table_name_51 WHERE tie_no = 'replay' AND attendance = '24 november 1998' AND home_team = 'rotherham united' | CREATE TABLE table_name_51 (away_team VARCHAR(255), home_team VARCHAR(255), tie_no VARCHAR(255), attendance VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10505
} |
Which Tie # that has an Attendance of 14 november 1998, and an Away team of hayes? | SELECT tie_no FROM table_name_62 WHERE attendance = '14 november 1998' AND away_team = 'hayes' | CREATE TABLE table_name_62 (tie_no VARCHAR(255), attendance VARCHAR(255), away_team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10506
} |
Name the date with winner outcome and opponent of noppawan lertcheewakarn jessica moore | SELECT date FROM table_name_82 WHERE outcome = 'winner' AND opponent = 'noppawan lertcheewakarn jessica moore' | CREATE TABLE table_name_82 (date VARCHAR(255), outcome VARCHAR(255), opponent VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10507
} |
Name the score for 21 may 2011 | SELECT score FROM table_name_35 WHERE date = '21 may 2011' | 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": 10508
} |
Name the partner with opponent of michaëlla krajicek eleni daniilidou | SELECT partner FROM table_name_20 WHERE opponent = 'michaëlla krajicek eleni daniilidou' | CREATE TABLE table_name_20 (partner VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10509
} |
Name the outcome for opponent of michaëlla krajicek eleni daniilidou | SELECT outcome FROM table_name_98 WHERE opponent = 'michaëlla krajicek eleni daniilidou' | CREATE TABLE table_name_98 (outcome VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10510
} |
What was the round number when Michael Hjalm played? | SELECT round FROM table_name_27 WHERE player = 'michael hjalm' | CREATE TABLE table_name_27 (round VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10512
} |
What is the position Bill Campbell played before round 6? | SELECT position FROM table_name_22 WHERE round < 6 AND player = 'bill campbell' | CREATE TABLE table_name_22 (position VARCHAR(255), round VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10513
} |
What is the date for the release with a catalogue number of WARPCDD333? | SELECT date FROM table_name_73 WHERE catalogue_number = 'warpcdd333' | CREATE TABLE table_name_73 (date VARCHAR(255), catalogue_number VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10514
} |
What is the country/region for the releases from Beat Records? | SELECT country_region FROM table_name_9 WHERE label = 'beat records' | CREATE TABLE table_name_9 (country_region VARCHAR(255), label VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10515
} |
What is the Total with a Player named robbie winters? | SELECT total FROM table_name_95 WHERE player = 'robbie winters' | CREATE TABLE table_name_95 (total VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10516
} |
What Position has a Player named kenneth udjus? | SELECT position FROM table_name_47 WHERE player = 'kenneth udjus' | CREATE TABLE table_name_47 (position VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10517
} |
What is the latest day in November of the game with a 15-5-2 record? | SELECT MAX(november) FROM table_name_60 WHERE record = '15-5-2' | CREATE TABLE table_name_60 (november INTEGER, record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10518
} |
What is the latest day in November with a game 15? | SELECT MAX(november) FROM table_name_31 WHERE game = 15 | CREATE TABLE table_name_31 (november INTEGER, game VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10519
} |
What is the lowest wins with points larger than 46, and a rank of 10th? | SELECT MIN(wins) FROM table_name_55 WHERE points > 46 AND rank = '10th' | CREATE TABLE table_name_55 (wins INTEGER, points VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10520
} |
What is the average points with a year higher than 1989, and a rank of 7th? | SELECT AVG(points) FROM table_name_60 WHERE year > 1989 AND rank = '7th' | CREATE TABLE table_name_60 (points INTEGER, year VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10521
} |
What is the year that has points larger than 20? | SELECT COUNT(year) FROM table_name_84 WHERE points > 20 | CREATE TABLE table_name_84 (year VARCHAR(255), points INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10522
} |
What is year that has points larger than 46, and a rank of 6th? | SELECT SUM(year) FROM table_name_45 WHERE points > 46 AND rank = '6th' | CREATE TABLE table_name_45 (year INTEGER, points VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10523
} |
What earliest year with points larger than 68 and a rank of 7th? | SELECT MIN(year) FROM table_name_71 WHERE points > 68 AND rank = '7th' | CREATE TABLE table_name_71 (year INTEGER, points VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10524
} |
what player went to ul-monroe | SELECT player FROM table_name_7 WHERE school = 'ul-monroe' | CREATE TABLE table_name_7 (player VARCHAR(255), school VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10525
} |
Which Number stayed in Southeast has over 4,000 emigrated or forcibly removed? | SELECT number_stayed_in_southeast FROM table_name_26 WHERE total_number_emigrated_or_forcibly_removed = 'over 4,000' | CREATE TABLE table_name_26 (number_stayed_in_southeast VARCHAR(255), total_number_emigrated_or_forcibly_removed VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10527
} |
How many warfare deaths befell the choctaw nation? | SELECT deaths_from_warfare FROM table_name_33 WHERE nation = 'choctaw' | CREATE TABLE table_name_33 (deaths_from_warfare VARCHAR(255), nation VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10528
} |
How many of those who stayed in the southeast had 19,600 emigrated or forcibly removed? | SELECT number_stayed_in_southeast FROM table_name_58 WHERE total_number_emigrated_or_forcibly_removed = '19,600' | CREATE TABLE table_name_58 (number_stayed_in_southeast VARCHAR(255), total_number_emigrated_or_forcibly_removed VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10529
} |
Which removal treaty covered the chickasaw nation? | SELECT removal_treaty__year_signed_ FROM table_name_32 WHERE nation = 'chickasaw' | CREATE TABLE table_name_32 (removal_treaty__year_signed_ VARCHAR(255), nation VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10530
} |
When did stage 5 occur? | SELECT date FROM table_name_53 WHERE stage = 5 | CREATE TABLE table_name_53 (date VARCHAR(255), stage VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10531
} |
Who were the opponents during week 14? | SELECT opponent FROM table_name_53 WHERE week = 14 | CREATE TABLE table_name_53 (opponent VARCHAR(255), week VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10532
} |
What is the highest attendance for the game before week 13 on December 9, 1973? | SELECT MAX(attendance) FROM table_name_45 WHERE date = 'december 9, 1973' AND week < 13 | CREATE TABLE table_name_45 (attendance INTEGER, date VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10533
} |
What is the average attendance for the games after week 2 on September 23, 1973? | SELECT AVG(attendance) FROM table_name_31 WHERE date = 'september 23, 1973' AND week > 2 | CREATE TABLE table_name_31 (attendance INTEGER, date VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10534
} |
What is the total number of weeks where games were on November 5, 1973 and the attendance was larger than 49,220? | SELECT COUNT(week) FROM table_name_81 WHERE date = 'november 5, 1973' AND attendance > 49 OFFSET 220 | CREATE TABLE table_name_81 (week VARCHAR(255), date 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": 10535
} |
Record of 9–1 had what game site? | SELECT game_site FROM table_name_70 WHERE record = '9–1' | CREATE TABLE table_name_70 (game_site VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10536
} |
Record of 8–1, and a Week larger than 9 had what highest attendance? | SELECT MAX(attendance) FROM table_name_18 WHERE record = '8–1' AND week > 9 | CREATE TABLE table_name_18 (attendance INTEGER, record VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10537
} |
Result of w 24–21, and a Week smaller than 6 had what sum of attendance? | SELECT SUM(attendance) FROM table_name_9 WHERE result = 'w 24–21' AND week < 6 | CREATE TABLE table_name_9 (attendance INTEGER, result VARCHAR(255), week VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10538
} |
Date of October 25, 1964 involves what record? | SELECT record FROM table_name_1 WHERE date = 'october 25, 1964' | CREATE TABLE table_name_1 (record VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10539
} |
What is the high total for algeria with over 2 bronzes? | SELECT MAX(total) FROM table_name_82 WHERE nation = 'algeria' AND bronze > 2 | CREATE TABLE table_name_82 (total INTEGER, nation VARCHAR(255), bronze VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10540
} |
What is the highest number of silvers for qatar with under 8 total, 0 golds, and over 2 bronzes? | SELECT MAX(silver) FROM table_name_9 WHERE total < 8 AND gold = 0 AND nation = 'qatar' AND bronze > 2 | CREATE TABLE table_name_9 (silver INTEGER, bronze VARCHAR(255), nation 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": 10541
} |
How many bronzes for the nation with over 20 total, under 26 golds, and over 0 silvers? | SELECT COUNT(bronze) FROM table_name_81 WHERE silver > 0 AND total > 20 AND gold < 26 | CREATE TABLE table_name_81 (bronze VARCHAR(255), gold VARCHAR(255), silver VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10542
} |
Who one bronze in the event where Choi Jun-Sang won gold, and Suh Jung-Kyun won silver? | SELECT bronze FROM table_name_27 WHERE gold = 'choi jun-sang' AND silver = 'suh jung-kyun' | CREATE TABLE table_name_27 (bronze VARCHAR(255), gold VARCHAR(255), silver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10543
} |
Who won bronze in Seoul? | SELECT bronze FROM table_name_20 WHERE location = 'seoul' | CREATE TABLE table_name_20 (bronze VARCHAR(255), location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10544
} |
Who won bronze is 2006? | SELECT bronze FROM table_name_7 WHERE year = 2006 | CREATE TABLE table_name_7 (bronze VARCHAR(255), year VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10545
} |
What year did the event in Hiroshima take place? | SELECT COUNT(year) FROM table_name_70 WHERE location = 'hiroshima' | CREATE TABLE table_name_70 (year VARCHAR(255), location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10546
} |
Who won bronze in 2002? | SELECT bronze FROM table_name_35 WHERE year = 2002 | CREATE TABLE table_name_35 (bronze VARCHAR(255), year 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": 10547
} |
What is the game number of the game with the Edmonton Oilers as the opponent after February 12? | SELECT COUNT(game) FROM table_name_74 WHERE opponent = 'edmonton oilers' AND february > 12 | CREATE TABLE table_name_74 (game VARCHAR(255), opponent VARCHAR(255), february 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": 10548
} |
How many Seasons that has Years of 1976–1977? | SELECT COUNT(seasons) FROM table_name_1 WHERE years = '1976–1977' | CREATE TABLE table_name_1 (seasons VARCHAR(255), years 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": 10549
} |
What week of the season had a date of october 5, 1975? | SELECT MIN(week) FROM table_name_24 WHERE date = 'october 5, 1975' | CREATE TABLE table_name_24 (week INTEGER, date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10550
} |
How many Events have a Top-10 larger than 6, and a Top-5 smaller than 8? | SELECT COUNT(events) FROM table_name_80 WHERE top_10 > 6 AND top_5 < 8 | CREATE TABLE table_name_80 (events VARCHAR(255), top_10 VARCHAR(255), top_5 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": 10551
} |
How many Wins have a Top-10 smaller than 6, and Cuts made larger than 7, and a Top-5 of 0? | SELECT COUNT(wins) FROM table_name_57 WHERE top_10 < 6 AND cuts_made > 7 AND top_5 = 0 | CREATE TABLE table_name_57 (wins VARCHAR(255), top_5 VARCHAR(255), top_10 VARCHAR(255), cuts_made 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": 10552
} |
What is the result of the game on May 14? | SELECT result FROM table_name_49 WHERE date = 'may 14' | CREATE TABLE table_name_49 (result 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": 10553
} |
What is the result of the game on May 14 with Philadelphia as the road team? | SELECT result FROM table_name_48 WHERE road_team = 'philadelphia' AND date = 'may 14' | CREATE TABLE table_name_48 (result VARCHAR(255), road_team VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10554
} |
What is the result of the game on May 4 with Philadelphia as the road team? | SELECT result FROM table_name_48 WHERE road_team = 'philadelphia' AND date = 'may 4' | CREATE TABLE table_name_48 (result VARCHAR(255), road_team VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10555
} |
What is the road team of game 6 with Philadelphia as the home team? | SELECT road_team FROM table_name_56 WHERE home_team = 'philadelphia' AND game = 'game 6' | CREATE TABLE table_name_56 (road_team VARCHAR(255), home_team VARCHAR(255), game 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": 10556
} |
What is the result of game 5 with Los Angeles as the home team? | SELECT result FROM table_name_26 WHERE home_team = 'los angeles' AND game = 'game 5' | CREATE TABLE table_name_26 (result VARCHAR(255), home_team VARCHAR(255), game 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": 10557
} |
What is the road team of the game with Philadelphia as the home team with a result of 105-102? | SELECT road_team FROM table_name_53 WHERE home_team = 'philadelphia' AND result = '105-102' | CREATE TABLE table_name_53 (road_team VARCHAR(255), home_team VARCHAR(255), result 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": 10558
} |
Which Result has a Party of republican, and a First elected smaller than 1856? | SELECT result FROM table_name_26 WHERE party = 'republican' AND first_elected < 1856 | CREATE TABLE table_name_26 (result VARCHAR(255), party VARCHAR(255), first_elected 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": 10559
} |
Which District has a First elected of 1856, and an Incumbent of william kellogg? | SELECT district FROM table_name_20 WHERE first_elected = 1856 AND incumbent = 'william kellogg' | CREATE TABLE table_name_20 (district VARCHAR(255), first_elected VARCHAR(255), incumbent 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": 10560
} |
Which First elected has a District of illinois 3? | SELECT MAX(first_elected) FROM table_name_52 WHERE district = 'illinois 3' | CREATE TABLE table_name_52 (first_elected INTEGER, district 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": 10561
} |
How much First elected has a Result of re-elected, and a Party of republican, and a District of illinois 4? | SELECT COUNT(first_elected) FROM table_name_76 WHERE result = 're-elected' AND party = 'republican' AND district = 'illinois 4' | CREATE TABLE table_name_76 (first_elected VARCHAR(255), district VARCHAR(255), result VARCHAR(255), party 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": 10562
} |
What was the nationality for the player in Round 1? | SELECT nationality FROM table_name_11 WHERE round = 1 | CREATE TABLE table_name_11 (nationality VARCHAR(255), round VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10579
} |
Who plays the right wing position? | SELECT player FROM table_name_66 WHERE position = 'right wing' | CREATE TABLE table_name_66 (player VARCHAR(255), position VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10580
} |
What celebrity finished 6th? | SELECT celebrity FROM table_name_79 WHERE finished = '6th' | CREATE TABLE table_name_79 (celebrity VARCHAR(255), finished VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10581
} |
What day did the celebrity who finished 4th enter? | SELECT entered FROM table_name_96 WHERE finished = '4th' | CREATE TABLE table_name_96 (entered VARCHAR(255), finished VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10582
} |
Which celebrity who was famous for being the ex busted member and TV presenter exited on day 19? | SELECT celebrity FROM table_name_53 WHERE exited = 'day 19' AND famous_for = 'ex busted member and tv presenter' | CREATE TABLE table_name_53 (celebrity VARCHAR(255), exited VARCHAR(255), famous_for VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10583
} |
Which celebrity was famous for finishing 9th? | SELECT famous_for FROM table_name_52 WHERE finished = '9th' | CREATE TABLE table_name_52 (famous_for VARCHAR(255), finished VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10584
} |
What rank did Myleene Klass finish? | SELECT finished FROM table_name_77 WHERE celebrity = 'myleene klass' | CREATE TABLE table_name_77 (finished VARCHAR(255), celebrity VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10585
} |
Opponent of kilmarnock, and a Result of 1–1 happened in what venue? | SELECT venue FROM table_name_24 WHERE opponent = 'kilmarnock' AND result = '1–1' | CREATE TABLE table_name_24 (venue 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": 10586
} |
what is the weight of a shot that is xx-inch? | SELECT weight_of_shot FROM table_name_51 WHERE designation__bore_ = 'xx-inch' | CREATE TABLE table_name_51 (weight_of_shot VARCHAR(255), designation__bore_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10587
} |
What is the length of the film with Burleigh Sullivan as the character? | SELECT length FROM table_name_30 WHERE character_name = 'burleigh sullivan' | CREATE TABLE table_name_30 (length VARCHAR(255), character_name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10588
} |
What is the length of the film with the character type being a milkman turned prizefighter? | SELECT length FROM table_name_31 WHERE character_type = 'milkman turned prizefighter' | CREATE TABLE table_name_31 (length VARCHAR(255), character_type VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10589
} |
What is the character name that has phyllis welch as the leading lady? | SELECT character_name FROM table_name_97 WHERE leading_lady = 'phyllis welch' | CREATE TABLE table_name_97 (character_name VARCHAR(255), leading_lady VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10590
} |
Who directed the film that had phyllis welch as the leading lady? | SELECT director_s_ FROM table_name_74 WHERE leading_lady = 'phyllis welch' | CREATE TABLE table_name_74 (director_s_ VARCHAR(255), leading_lady VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10591
} |
What was the character name for the film with a release date of July 29, 1938? | SELECT character_name FROM table_name_72 WHERE release_date = 'july 29, 1938' | CREATE TABLE table_name_72 (character_name VARCHAR(255), release_date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10592
} |
What Locomotive was Delivered as T414? | SELECT locomotive FROM table_name_2 WHERE delivered_as = 't414' | CREATE TABLE table_name_2 (locomotive VARCHAR(255), delivered_as VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10593
} |
What Owner Delivered the T415? | SELECT owner FROM table_name_70 WHERE delivered_as = 't415' | CREATE TABLE table_name_70 (owner VARCHAR(255), delivered_as VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10594
} |
What is the Entered service date of the T413? | SELECT entered_service FROM table_name_32 WHERE delivered_as = 't413' | CREATE TABLE table_name_32 (entered_service VARCHAR(255), delivered_as 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": 10595
} |
What is the Delivered as name of the H3 Locomotive? | SELECT delivered_as FROM table_name_64 WHERE locomotive = 'h3' | CREATE TABLE table_name_64 (delivered_as VARCHAR(255), locomotive 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": 10596
} |
What is the Entered service date of the H1 Locomotive? | SELECT entered_service FROM table_name_54 WHERE locomotive = 'h1' | CREATE TABLE table_name_54 (entered_service VARCHAR(255), locomotive 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": 10597
} |
What was the highest week with a result of l 16–12? | SELECT MAX(week) FROM table_name_53 WHERE result = 'l 16–12' | CREATE TABLE table_name_53 (week INTEGER, result 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": 10598
} |
Who was the opponent at the game with a result of l 27–3? | SELECT opponent FROM table_name_52 WHERE result = 'l 27–3' | CREATE TABLE table_name_52 (opponent VARCHAR(255), result 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": 10599
} |
What was the date of the game with a result of bye before week 12? | SELECT date FROM table_name_3 WHERE week < 12 AND result = 'bye' | CREATE TABLE table_name_3 (date VARCHAR(255), week VARCHAR(255), result 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": 10600
} |
What was the record at the game against the Los Angeles Rams? | SELECT record FROM table_name_25 WHERE opponent = 'los angeles rams' | CREATE TABLE table_name_25 (record 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": 10601
} |
Who is the opponent from September 28? | SELECT opponent FROM table_name_13 WHERE date = 'september 28' | CREATE TABLE table_name_13 (opponent 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": 10602
} |
Who was the opponent at the game later than game 22 when the record was 17-10-4? | SELECT opponent FROM table_name_56 WHERE game > 22 AND record = '17-10-4' | CREATE TABLE table_name_56 (opponent VARCHAR(255), game VARCHAR(255), record 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": 10603
} |
What were the Opponents of the team, that made it to the third round, before 2008? | SELECT opponents FROM table_name_95 WHERE year < 2008 AND progress = 'third round' | CREATE TABLE table_name_95 (opponents VARCHAR(255), year VARCHAR(255), progress 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": 10604
} |
What was the score in 1997 for the team that has a Progress of no entrants? | SELECT score FROM table_name_83 WHERE progress = 'no entrants' AND year = 1997 | CREATE TABLE table_name_83 (score VARCHAR(255), progress VARCHAR(255), year 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": 10605
} |
How many Atts that have Yards of 43 and a Long larger than 43? | SELECT SUM(att) FROM table_name_65 WHERE yards = 43 AND long > 43 | CREATE TABLE table_name_65 (att INTEGER, yards VARCHAR(255), long VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10606
} |
How many Ints have a Rating smaller than 87, and Yards larger than 4? | SELECT AVG(int) FROM table_name_19 WHERE rating < 87 AND yards > 4 | CREATE TABLE table_name_19 (int INTEGER, rating VARCHAR(255), yards 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": 10607
} |
Which visitor has detroit as the home, and february 24 as the date? | SELECT visitor FROM table_name_76 WHERE home = 'detroit' AND date = 'february 24' | CREATE TABLE table_name_76 (visitor VARCHAR(255), home VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10608
} |
What score has detroit as the home and february 17 as the date? | SELECT score FROM table_name_6 WHERE home = 'detroit' AND date = 'february 17' | CREATE TABLE table_name_6 (score VARCHAR(255), home VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10609
} |
What shows for Scorers when the Opponent was west germany on October 7? | SELECT scorers FROM table_name_31 WHERE opponent = 'west germany' AND date = 'october 7' | CREATE TABLE table_name_31 (scorers VARCHAR(255), opponent VARCHAR(255), date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10610
} |
Who was the director of Battalion Wars 2 which was released on GCN after 2004? | SELECT director FROM table_name_72 WHERE platform_s_ = 'gcn' AND year > 2004 AND title = 'battalion wars 2' | CREATE TABLE table_name_72 (director VARCHAR(255), title VARCHAR(255), platform_s_ VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10611
} |
What year was Metroid Prime Hunters 5 released? | SELECT SUM(year) FROM table_name_7 WHERE title = 'metroid prime hunters 5' | CREATE TABLE table_name_7 (year INTEGER, title VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 10612
} |
What platform was used for the game directed by Bryan Walker after 2006? | SELECT platform_s_ FROM table_name_45 WHERE year > 2006 AND director = 'bryan walker' | CREATE TABLE table_name_45 (platform_s_ VARCHAR(255), year VARCHAR(255), director VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 10613
} |
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