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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Who was the opponent in the mallorca 2, spain tournament? | SELECT opponent FROM table_name_54 WHERE tournament = 'mallorca 2, spain' | CREATE TABLE table_name_54 (opponent VARCHAR(255), tournament VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16412
} |
When was varvara lepchenko the opponent? | SELECT date FROM table_name_7 WHERE opponent = 'varvara lepchenko' | CREATE TABLE table_name_7 (date VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16413
} |
For the total of 288 what was the to par? | SELECT to_par FROM table_name_71 WHERE total = 288 | CREATE TABLE table_name_71 (to_par VARCHAR(255), total VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16414
} |
What year did the United States win with a total of 278? | SELECT year_s__won FROM table_name_4 WHERE country = 'united states' AND total = 278 | CREATE TABLE table_name_4 (year_s__won VARCHAR(255), country VARCHAR(255), total VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16415
} |
What was the lowest total with a finish of t47? | SELECT MIN(total) FROM table_name_88 WHERE finish = 't47' | CREATE TABLE table_name_88 (total INTEGER, finish VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16416
} |
What is the to par when the total is larger than 288? | SELECT to_par FROM table_name_97 WHERE total > 288 | CREATE TABLE table_name_97 (to_par VARCHAR(255), total INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16417
} |
What is the rank for total less than 5, 1 bronze and less than 1 silver? | SELECT AVG(rank) FROM table_name_50 WHERE total < 5 AND bronze = 1 AND silver < 1 | CREATE TABLE table_name_50 (rank INTEGER, silver VARCHAR(255), total VARCHAR(255), bronze VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16418
} |
What is the most possible bronze medals when rank is more than 11 and there are fewer than 0 gold medals? | SELECT MAX(bronze) FROM table_name_95 WHERE rank > 11 AND gold < 0 | CREATE TABLE table_name_95 (bronze INTEGER, rank VARCHAR(255), gold VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16419
} |
What is the least total when there are more than 2 golds and fewer than 0 silver? | SELECT MIN(total) FROM table_name_6 WHERE gold > 2 AND silver < 0 | CREATE TABLE table_name_6 (total INTEGER, gold VARCHAR(255), silver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16420
} |
Which visitor has a record of 2-4? | SELECT visitor FROM table_name_39 WHERE record = '2-4' | CREATE TABLE table_name_39 (visitor VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16421
} |
What is the record on April 28? | SELECT record FROM table_name_81 WHERE date = 'april 28' | CREATE TABLE table_name_81 (record VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16422
} |
What is the score for the Chicago Black Hawks game with a record of 2-1? | SELECT score FROM table_name_36 WHERE home = 'chicago black hawks' AND record = '2-1' | CREATE TABLE table_name_36 (score VARCHAR(255), home VARCHAR(255), record VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16423
} |
What's the latest year with a hometown of san carlos, pangasinan? | SELECT MAX(year) FROM table_name_50 WHERE hometown = 'san carlos, pangasinan' | CREATE TABLE table_name_50 (year INTEGER, hometown VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16424
} |
What are the other awards for 1995? | SELECT other_awards FROM table_name_77 WHERE year = 1995 | CREATE TABLE table_name_77 (other_awards VARCHAR(255), year VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16425
} |
What's the latest year that daisy garcia reyes did not place in miss world? | SELECT MAX(year) FROM table_name_11 WHERE placement_in_miss_world = 'did not place' AND delegate = 'daisy garcia reyes' | CREATE TABLE table_name_11 (year INTEGER, placement_in_miss_world VARCHAR(255), delegate VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16426
} |
Which venue had an against smaller than 7? | SELECT venue FROM table_name_15 WHERE against < 7 | CREATE TABLE table_name_15 (venue VARCHAR(255), against INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16427
} |
What day was Australia the opposing team and the against 12? | SELECT date FROM table_name_92 WHERE opposing_teams = 'australia' AND against = 12 | CREATE TABLE table_name_92 (date VARCHAR(255), opposing_teams VARCHAR(255), against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16428
} |
What day was Wales the opposing team? | SELECT date FROM table_name_17 WHERE opposing_teams = 'wales' | CREATE TABLE table_name_17 (date VARCHAR(255), opposing_teams VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16429
} |
What is the amount of money with a score of 67-71-70-71=279? | SELECT COUNT(money___) AS $__ FROM table_name_85 WHERE score = 67 - 71 - 70 - 71 = 279 | CREATE TABLE table_name_85 (money___ VARCHAR(255), score VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: score = 67 - 71 - 70 - 71"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16430
} |
What is Dave Rummells's to par? | SELECT to_par FROM table_name_22 WHERE player = 'dave rummells' | CREATE TABLE table_name_22 (to_par VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16431
} |
What is the to par number with a score of 67-66-71-71=275? | SELECT to_par FROM table_name_51 WHERE score = 67 - 66 - 71 - 71 = 275 | CREATE TABLE table_name_51 (to_par VARCHAR(255), score VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: score = 67 - 66 - 71 - 71"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16432
} |
What country is Steve Jones from? | SELECT country FROM table_name_55 WHERE player = 'steve jones' | CREATE TABLE table_name_55 (country VARCHAR(255), player VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16433
} |
Who was the opponent of Anand in the match with 20 moves that opened with E15 Queen's Indian Defence? | SELECT black FROM table_name_87 WHERE white = 'anand' AND moves = 20 AND opening = 'e15 queen''s indian defence' | CREATE TABLE table_name_87 (black VARCHAR(255), opening VARCHAR(255), white VARCHAR(255), moves VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16434
} |
What is Points, when Points For is "points for"? | SELECT points FROM table_name_71 WHERE points_for = 'points for' | CREATE TABLE table_name_71 (points VARCHAR(255), points_for VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16435
} |
What is Drawn, when Played is "18", and when Points Against is "478"? | SELECT drawn FROM table_name_55 WHERE played = '18' AND points_against = '478' | CREATE TABLE table_name_55 (drawn VARCHAR(255), played VARCHAR(255), points_against VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16436
} |
What is Points For, when Losing Bonus is "2", when Lost is "8", and when Club is "Rhyl And District RFC"? | SELECT points_for FROM table_name_88 WHERE losing_bonus = '2' AND lost = '8' AND club = 'rhyl and district rfc' | CREATE TABLE table_name_88 (points_for VARCHAR(255), club VARCHAR(255), losing_bonus VARCHAR(255), lost VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16437
} |
What is Lost, when Points For is "205"? | SELECT lost FROM table_name_16 WHERE points_for = '205' | CREATE TABLE table_name_16 (lost VARCHAR(255), points_for VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16438
} |
What is Played, when Tries Against is "63"? | SELECT played FROM table_name_81 WHERE tries_against = '63' | CREATE TABLE table_name_81 (played VARCHAR(255), tries_against VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16439
} |
What is Try Bonus, when Tries For is "39"? | SELECT try_bonus FROM table_name_98 WHERE tries_for = '39' | CREATE TABLE table_name_98 (try_bonus VARCHAR(255), tries_for VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16440
} |
What Week 2 has a Week 4 of piret aava? | SELECT week_2 FROM table_name_63 WHERE week_4 = 'piret aava' | CREATE TABLE table_name_63 (week_2 VARCHAR(255), week_4 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16441
} |
What Week 2 has a Week 3 of casey mae? | SELECT week_2 FROM table_name_16 WHERE week_3 = 'casey mae' | CREATE TABLE table_name_16 (week_2 VARCHAR(255), week_3 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16442
} |
What Week 2 has a Week 1 of crystal beddows? | SELECT week_2 FROM table_name_66 WHERE week_1 = 'crystal beddows' | CREATE TABLE table_name_66 (week_2 VARCHAR(255), week_1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16443
} |
What Week 3 has a Week 4 of gina blair? | SELECT week_3 FROM table_name_95 WHERE week_4 = 'gina blair' | CREATE TABLE table_name_95 (week_3 VARCHAR(255), week_4 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16444
} |
What Week 5 has a Week 1 of mysti sherwood? | SELECT week_5 FROM table_name_10 WHERE week_1 = 'mysti sherwood' | CREATE TABLE table_name_10 (week_5 VARCHAR(255), week_1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16445
} |
What Week 4 has a Week 2 of samantha speer? | SELECT week_4 FROM table_name_62 WHERE week_2 = 'samantha speer' | CREATE TABLE table_name_62 (week_4 VARCHAR(255), week_2 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16446
} |
Which 2nd Party has a Election of 1857? | SELECT 2 AS nd_party FROM table_name_14 WHERE election = '1857' | CREATE TABLE table_name_14 (election VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16447
} |
Which 2nd Party has a Election of 1857? | SELECT 2 AS nd_party FROM table_name_17 WHERE election = '1857' | CREATE TABLE table_name_17 (election VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16448
} |
which 1st Member has a Election of 1832 | SELECT 1 AS st_member FROM table_name_51 WHERE election = '1832' | CREATE TABLE table_name_51 (election VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 1"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16449
} |
Who is moving from Treviso with a loan return? | SELECT name FROM table_name_42 WHERE moving_from = 'treviso' AND type = 'loan return' | CREATE TABLE table_name_42 (name VARCHAR(255), moving_from VARCHAR(255), type VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16450
} |
What is the nationality of Acquafresca? | SELECT nat FROM table_name_9 WHERE name = 'acquafresca' | CREATE TABLE table_name_9 (nat VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16451
} |
What is the type if the transfer window is summer and the moving from category is free agent? | SELECT type FROM table_name_89 WHERE transfer_window = 'summer' AND moving_from = 'free agent' | CREATE TABLE table_name_89 (type VARCHAR(255), transfer_window VARCHAR(255), moving_from VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16452
} |
What is the transfer window for the moving from of São Paulo? | SELECT transfer_window FROM table_name_46 WHERE moving_from = 'são paulo' | CREATE TABLE table_name_46 (transfer_window VARCHAR(255), moving_from VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16453
} |
What is the moving from with a transfer and the nationality of Bra? | SELECT moving_from FROM table_name_22 WHERE type = 'transfer' AND nat = 'bra' | CREATE TABLE table_name_22 (moving_from VARCHAR(255), type VARCHAR(255), nat VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16454
} |
What is the end date for Maaroufi? | SELECT ends FROM table_name_59 WHERE name = 'maaroufi' | CREATE TABLE table_name_59 (ends VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16455
} |
The game played on October 2, 1966 had what result? | SELECT result FROM table_name_40 WHERE date = 'october 2, 1966' | CREATE TABLE table_name_40 (result VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16456
} |
Who was the game played against on October 9, 1966? | SELECT opponent FROM table_name_18 WHERE date = 'october 9, 1966' | CREATE TABLE table_name_18 (opponent VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16457
} |
What is the maximum week that 69,372 people attended the game? | SELECT MAX(week) FROM table_name_13 WHERE attendance = '69,372' | CREATE TABLE table_name_13 (week INTEGER, attendance VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16458
} |
What is the date of the game played after week 4 with 60,658 people in attendance? | SELECT date FROM table_name_28 WHERE week > 4 AND attendance = '60,658' | CREATE TABLE table_name_28 (date VARCHAR(255), week VARCHAR(255), attendance VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16459
} |
What is the total capacity for the city of Trogir? | SELECT SUM(capacity) FROM table_name_21 WHERE city = 'trogir' | CREATE TABLE table_name_21 (capacity INTEGER, city VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16460
} |
What party established in 1797 won an election in 2007? | SELECT party FROM table_name_17 WHERE established > 1797 AND election = 2007 | CREATE TABLE table_name_17 (party VARCHAR(255), established VARCHAR(255), election VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16461
} |
What Played has a Lost smaller than 3, and a Drawn smaller than 0? | SELECT AVG(played) FROM table_name_13 WHERE lost < 3 AND drawn < 0 | CREATE TABLE table_name_13 (played INTEGER, lost 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": 16462
} |
What is the largest % Won with a Lost smaller than 0? | SELECT MAX(_percentage_won) FROM table_name_89 WHERE lost < 0 | CREATE TABLE table_name_89 (_percentage_won INTEGER, lost 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": 16463
} |
What is the total of Against with % Won larger than 100? | SELECT SUM(against) FROM table_name_76 WHERE _percentage_won > 100 | CREATE TABLE table_name_76 (against INTEGER, _percentage_won 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": 16464
} |
What is the smallest Against with Lost larger than 0, % Won larger than 50, and Played smaller than 5? | SELECT MIN(against) FROM table_name_48 WHERE lost > 0 AND _percentage_won > 50 AND played < 5 | CREATE TABLE table_name_48 (against INTEGER, played VARCHAR(255), lost VARCHAR(255), _percentage_won 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": 16465
} |
What is the Lost with Against smaller than 25, and Played smaller than 1? | SELECT AVG(lost) FROM table_name_93 WHERE against < 25 AND played < 1 | CREATE TABLE table_name_93 (lost INTEGER, against VARCHAR(255), played 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": 16466
} |
What is the largest height when the prominence is 3,118? | SELECT MAX(height__m_) FROM table_name_98 WHERE prominence__m_ = 3 OFFSET 118 | CREATE TABLE table_name_98 (height__m_ INTEGER, prominence__m_ VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported select options: offset"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16467
} |
What is the Tie number of when Wigan Athletic was the away team? | SELECT tie_no FROM table_name_34 WHERE away_team = 'wigan athletic' | CREATE TABLE table_name_34 (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": 16468
} |
Name the team with a tie number of 6. | SELECT date FROM table_name_51 WHERE tie_no = '6' | CREATE TABLE table_name_51 (date VARCHAR(255), tie_no VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16469
} |
What ship was built by Palmers Shipbuilding and Iron Company for the Royal Navy? | SELECT ship FROM table_name_81 WHERE country = 'royal navy' AND builder = 'palmers shipbuilding and iron company' | CREATE TABLE table_name_81 (ship VARCHAR(255), country VARCHAR(255), builder 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": 16470
} |
What is the class/type at Trieste? | SELECT class___type FROM table_name_32 WHERE location = 'trieste' | CREATE TABLE table_name_32 (class___type VARCHAR(255), location 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": 16471
} |
What is the country of Palmers Shipbuilding and Iron Company? | SELECT country FROM table_name_96 WHERE builder = 'palmers shipbuilding and iron company' | CREATE TABLE table_name_96 (country VARCHAR(255), builder VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16472
} |
In what country is Aberdeen? | SELECT country FROM table_name_96 WHERE location = 'aberdeen' | CREATE TABLE table_name_96 (country VARCHAR(255), location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16473
} |
Which Number of households has a Median household income of $32,806, and a Population larger than 11,291? | SELECT MAX(number_of_households) FROM table_name_1 WHERE median_household_income = '$32,806' AND population > 11 OFFSET 291 | CREATE TABLE table_name_1 (number_of_households INTEGER, median_household_income VARCHAR(255), population 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": 16474
} |
Which County has a Median household income of $37,230? | SELECT county FROM table_name_96 WHERE median_household_income = '$37,230' | CREATE TABLE table_name_96 (county VARCHAR(255), median_household_income VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16475
} |
Which Population has a County of mississippi, and a Number of households smaller than 17,741? | SELECT SUM(population) FROM table_name_21 WHERE county = 'mississippi' AND number_of_households < 17 OFFSET 741 | CREATE TABLE table_name_21 (population INTEGER, county VARCHAR(255), number_of_households 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": 16476
} |
Count the average Height which has a Position of pf, and a Year born (Age) on april 1, 1981 (age32)? | SELECT AVG(height) FROM table_name_27 WHERE position = 'pf' AND year_born__age_ = 'april 1, 1981 (age32)' | CREATE TABLE table_name_27 (height INTEGER, position VARCHAR(255), year_born__age_ 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": 16477
} |
Which Height has a Position of c, and a Player of yiannis bourousis? | SELECT SUM(height) FROM table_name_50 WHERE position = 'c' AND player = 'yiannis bourousis' | CREATE TABLE table_name_50 (height INTEGER, position VARCHAR(255), player VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16478
} |
Which Outcome has a Score in the final of 1–6, 6–4, 7–5? | SELECT outcome FROM table_name_61 WHERE score_in_the_final = '1–6, 6–4, 7–5' | CREATE TABLE table_name_61 (outcome VARCHAR(255), score_in_the_final VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16479
} |
Which Outcome has a Score in the final of 4–6, 5–7? | SELECT outcome FROM table_name_96 WHERE score_in_the_final = '4–6, 5–7' | CREATE TABLE table_name_96 (outcome VARCHAR(255), score_in_the_final VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16480
} |
Which Opponents in the final has a Partner of olga lugina? | SELECT opponents_in_the_final FROM table_name_79 WHERE partner = 'olga lugina' | CREATE TABLE table_name_79 (opponents_in_the_final VARCHAR(255), partner VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16481
} |
Which Outcome has a Score in the final of 3–6, 1–6? | SELECT outcome FROM table_name_57 WHERE score_in_the_final = '3–6, 1–6' | CREATE TABLE table_name_57 (outcome VARCHAR(255), score_in_the_final VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16482
} |
What rank is He Yingqin who was born before 1890? | SELECT AVG(rank) FROM table_name_75 WHERE name = 'he yingqin' AND birth < 1890 | CREATE TABLE table_name_75 (rank INTEGER, name VARCHAR(255), birth VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16483
} |
What year is the death for a birth of 1873 and higher than rank 28? | SELECT death FROM table_name_74 WHERE birth = 1873 AND rank > 28 | CREATE TABLE table_name_74 (death VARCHAR(255), birth VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16484
} |
What is the name with a death in 2001? | SELECT name FROM table_name_6 WHERE death = '2001' | CREATE TABLE table_name_6 (name VARCHAR(255), death VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16485
} |
What is the 1st round result for ECAC Chaumont (D2) as team 1? | SELECT 1 AS st_round FROM table_name_91 WHERE team_1 = 'ecac chaumont (d2)' | CREATE TABLE table_name_91 (team_1 VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 1"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16486
} |
Which team 1 played against team 2 of Tours FC (D2)? | SELECT team_1 FROM table_name_21 WHERE team_2 = 'tours fc (d2)' | CREATE TABLE table_name_21 (team_1 VARCHAR(255), team_2 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16487
} |
Which is team 2 when team 1 is ECAC Chaumont (d2)? | SELECT team_2 FROM table_name_45 WHERE team_1 = 'ecac chaumont (d2)' | CREATE TABLE table_name_45 (team_2 VARCHAR(255), team_1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16488
} |
Which Written by has a Code of 1.2 1.3? | SELECT written_by FROM table_name_57 WHERE code = '1.2 1.3' | CREATE TABLE table_name_57 (written_by VARCHAR(255), code VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16489
} |
What is the highest crude death rate when deaths are 3 433 and average population is greater than 298? | SELECT MAX(crude_death_rate__per_1000_) FROM table_name_16 WHERE deaths = '3 433' AND average_population__x_1000_ > 298 | CREATE TABLE table_name_16 (crude_death_rate__per_1000_ INTEGER, deaths VARCHAR(255), average_population__x_1000_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16490
} |
How many live births where the crude birth rate is lore than 15.7, average population is less than 297 and deaths are al 4 686? | SELECT live_births FROM table_name_79 WHERE crude_birth_rate__per_1000_ > 15.7 AND average_population__x_1000_ < 297 AND deaths = '4 686' | CREATE TABLE table_name_79 (live_births VARCHAR(255), deaths VARCHAR(255), crude_birth_rate__per_1000_ VARCHAR(255), average_population__x_1000_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16491
} |
What is the national change where crude birth rate is less than 11.4, crude death rate is more than 12.1 and deaths are 4 376? | SELECT natural_change FROM table_name_96 WHERE crude_birth_rate__per_1000_ < 11.4 AND crude_death_rate__per_1000_ > 12.1 AND deaths = '4 376' | CREATE TABLE table_name_96 (natural_change VARCHAR(255), deaths VARCHAR(255), crude_birth_rate__per_1000_ VARCHAR(255), crude_death_rate__per_1000_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16492
} |
What is the average population when deaths are 3 557 and crude death date is less than 11.9? | SELECT AVG(average_population__x_1000_) FROM table_name_40 WHERE deaths = '3 557' AND crude_death_rate__per_1000_ < 11.9 | CREATE TABLE table_name_40 (average_population__x_1000_ INTEGER, deaths VARCHAR(255), crude_death_rate__per_1000_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16493
} |
In what week(s) did the Broncos go up against the Cleveland Browns? | SELECT SUM(week) FROM table_name_99 WHERE opponent = 'cleveland browns' | CREATE TABLE table_name_99 (week INTEGER, opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16494
} |
What week was the December 24, 1994 game? | SELECT SUM(week) FROM table_name_78 WHERE date = 'december 24, 1994' | CREATE TABLE table_name_78 (week INTEGER, date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16495
} |
Which Nationality has a Round smaller than 3? | SELECT nationality FROM table_name_98 WHERE round < 3 | CREATE TABLE table_name_98 (nationality VARCHAR(255), round INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16496
} |
Which Position has a Round larger than 4, and a Player of patrick johnson? | SELECT position FROM table_name_45 WHERE round > 4 AND player = 'patrick johnson' | CREATE TABLE table_name_45 (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": 16497
} |
Which Nationality has a Round of 4? | SELECT nationality FROM table_name_17 WHERE round = 4 | CREATE TABLE table_name_17 (nationality VARCHAR(255), round VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16498
} |
Which Player has a Round smaller than 4, and a College/junior/club team (league) of usa u-18? | SELECT player FROM table_name_48 WHERE round < 4 AND college_junior_club_team__league_ = 'usa u-18' | CREATE TABLE table_name_48 (player VARCHAR(255), round VARCHAR(255), college_junior_club_team__league_ VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16499
} |
What team 2 has lokomotiva as team 1? | SELECT team_2 FROM table_name_16 WHERE team_1 = 'lokomotiva' | CREATE TABLE table_name_16 (team_2 VARCHAR(255), team_1 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16500
} |
What team 1 has sloga jugomagnat as team 2? | SELECT team_1 FROM table_name_99 WHERE team_2 = 'sloga jugomagnat' | CREATE TABLE table_name_99 (team_1 VARCHAR(255), team_2 VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16501
} |
What 2nd leg has pelister as team 1? | SELECT 2 AS nd_leg FROM table_name_7 WHERE team_1 = 'pelister' | CREATE TABLE table_name_7 (team_1 VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 2"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16502
} |
What 1st leg has 11 oktomvri as team 2? | SELECT 1 AS st_leg FROM table_name_78 WHERE team_2 = '11 oktomvri' | CREATE TABLE table_name_78 (team_2 VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: 1"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 16503
} |
What is the total against on 15/10/1999? | SELECT SUM(against) FROM table_name_39 WHERE date = '15/10/1999' | CREATE TABLE table_name_39 (against INTEGER, date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16504
} |
What status is on 21/08/1999? | SELECT status FROM table_name_66 WHERE date = '21/08/1999' | CREATE TABLE table_name_66 (status VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16505
} |
What opposing teams playing on 11/04/1999? | SELECT opposing_teams FROM table_name_63 WHERE date = '11/04/1999' | CREATE TABLE table_name_63 (opposing_teams VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16506
} |
What co-singer has sukhwinder singh as the composer? | SELECT co_singer FROM table_name_26 WHERE composer = 'sukhwinder singh' | CREATE TABLE table_name_26 (co_singer VARCHAR(255), composer VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16507
} |
What is the away when the home is 3-2, and the season is 1959-60? | SELECT away FROM table_name_61 WHERE home = '3-2' AND season = '1959-60' | CREATE TABLE table_name_61 (away VARCHAR(255), home VARCHAR(255), season VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16508
} |
What team has a league of bundesliga, and an away of 3-2? | SELECT teams FROM table_name_32 WHERE league = 'bundesliga' AND away = '3-2' | CREATE TABLE table_name_32 (teams VARCHAR(255), league VARCHAR(255), away VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16509
} |
What teams has a home of 5-0? | SELECT teams FROM table_name_58 WHERE home = '5-0' | CREATE TABLE table_name_58 (teams VARCHAR(255), home VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 16510
} |
What teams has a home of 1-0, in the season 1988-89? | SELECT teams FROM table_name_27 WHERE home = '1-0' AND season = '1988-89' | CREATE TABLE table_name_27 (teams VARCHAR(255), home VARCHAR(255), season VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 16511
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.