question string | answer string | context string | dialect string | spider_hardness string | extended_hardness string | classification_status string | syntax_status string | ddl_syntax_status string | schema_status string | syntax_errors list | ddl_syntax_errors list | schema_errors list | classification_errors list | status_history list | correction_status string | component1 int64 | component2 int64 | others int64 | validation_source dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
What were the total number scores after 2005, when the winner was David Patrick? | SELECT COUNT(score) FROM table_name_76 WHERE winner = 'david patrick' AND year > 2005 | CREATE TABLE table_name_76 (score VARCHAR(255), winner VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77834
} |
What was the average year that the venue was Bokskogens? | SELECT AVG(year) FROM table_name_16 WHERE venue = 'bokskogens' | CREATE TABLE table_name_16 (year INTEGER, venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77835
} |
Who did the Toronto Blue Jays play against where the score was 4 - 2? | SELECT opponent FROM table_name_66 WHERE score = '4 - 2' | CREATE TABLE table_name_66 (opponent VARCHAR(255), score VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77836
} |
Who did the Blue Jays play against on April 11? | SELECT opponent FROM table_name_52 WHERE date = 'april 11' | CREATE TABLE table_name_52 (opponent VARCHAR(255), date VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77837
} |
Who did the Blue Jays play against on April 24? | SELECT opponent FROM table_name_44 WHERE date = 'april 24' | CREATE TABLE table_name_44 (opponent VARCHAR(255), date VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77838
} |
What was the average Value ($M) when the Country was England, the Operating income($m) was greater than -5, and the Revenue ($M) was smaller than 103? | SELECT AVG(value__) AS $m_ FROM table_name_95 WHERE country = 'england' AND operating_income_$m_ > -5 AND revenue__$m_ < 103 | CREATE TABLE table_name_95 (value__ INTEGER, revenue__$m_ VARCHAR(255), country VARCHAR(255), operating_income_$m_ VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77839
} |
What was the total amount of Value ($M), when the Country was Spain, the Rank was 19, and the Debt as % of value was larger than 159? | SELECT COUNT(value__) AS $m_ FROM table_name_54 WHERE country = 'spain' AND rank = 19 AND debt_as__percentageof_value > 159 | CREATE TABLE table_name_54 (value__ VARCHAR(255), debt_as__percentageof_value VARCHAR(255), country VARCHAR(255), rank VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77840
} |
What was the sum of Value ($M), when the Revenue ($M) was less than 307, the Team was Valencia, and the Rank was smaller than 19? | SELECT SUM(value__) AS $m_ FROM table_name_3 WHERE revenue__$m_ < 307 AND team = 'valencia' AND rank < 19 | CREATE TABLE table_name_3 (value__ INTEGER, rank VARCHAR(255), revenue__$m_ VARCHAR(255), team VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77841
} |
What was the total amount of Value ($M), when the Rank was higher than 6, and the % change on year was -27? | SELECT COUNT(value__) AS $m_ FROM table_name_36 WHERE rank > 6 AND _percentage_change_on_year = '-27' | CREATE TABLE table_name_36 (value__ VARCHAR(255), rank VARCHAR(255), _percentage_change_on_year VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77842
} |
What was the sum of Revenue ($M), when the Debt as % of value was higher than 27, and the Operating income($m) was 77? | SELECT SUM(revenue__) AS $m_ FROM table_name_35 WHERE debt_as__percentageof_value > 27 AND operating_income_$m_ = 77 | CREATE TABLE table_name_35 (revenue__ INTEGER, debt_as__percentageof_value VARCHAR(255), operating_income_$m_ VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77843
} |
Name the screening completed for screening started 23 january 2006 | SELECT screening_completed FROM table_name_22 WHERE screening_started = '23 january 2006' | CREATE TABLE table_name_22 (screening_completed VARCHAR(255), screening_started VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77844
} |
Name the screening started when it was completed 3 may 2006 | SELECT screening_started FROM table_name_40 WHERE screening_completed = '3 may 2006' | CREATE TABLE table_name_40 (screening_started VARCHAR(255), screening_completed VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77845
} |
What award was Trent Tesoro nominated for in 2007? | SELECT award FROM table_name_2 WHERE result = 'nominated' AND year = 2007 | CREATE TABLE table_name_2 (award VARCHAR(255), result VARCHAR(255), year VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77846
} |
What is the score for the team that has a record of 80-64? | SELECT score FROM table_name_43 WHERE record = '80-64' | CREATE TABLE table_name_43 (score VARCHAR(255), record VARCHAR(255)); | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77847
} |
What position did team scandia finish when their engine was cosworth? | SELECT finish FROM table_name_72 WHERE engine = 'cosworth' AND team = 'team scandia' | CREATE TABLE table_name_72 (finish VARCHAR(255), engine VARCHAR(255), team VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77848
} |
What was the position of the team that used an oldsmobile engine and DNQ? | SELECT finish FROM table_name_10 WHERE engine = 'oldsmobile' AND start = 'dnq' | CREATE TABLE table_name_10 (finish VARCHAR(255), engine VARCHAR(255), start VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77849
} |
what is the least bronze when gold is more than 0 for russia? | SELECT MIN(bronze) FROM table_name_37 WHERE gold > 0 AND nation = 'russia' | CREATE TABLE table_name_37 (bronze INTEGER, gold VARCHAR(255), nation VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77850
} |
what is the highest rank for italy when gold is more than 1? | SELECT MAX(rank) FROM table_name_19 WHERE nation = 'italy' AND gold > 1 | CREATE TABLE table_name_19 (rank INTEGER, nation VARCHAR(255), gold VARCHAR(255)); | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77851
} |
what is the total when bronze is more than 1 and gold smaller than 1? | SELECT SUM(total) FROM table_name_1 WHERE bronze > 1 AND gold < 1 | CREATE TABLE table_name_1 (total 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": 77852
} |
What is the avg seek time for a device that is less than 3231? | SELECT avg_seek_time_[ms] FROM table_name_26 WHERE device < 3231 | CREATE TABLE table_name_26 (avg_seek_time_ VARCHAR(255), ms VARCHAR(255), device INTEGER) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: avg_seek_time_[ms]"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 77853
} |
What is the smallest transfer rate for a 3243 device? | SELECT MIN(avg_transfer_rate_)[kb_s] FROM table_name_69 WHERE device = 3243 | CREATE TABLE table_name_69 (kb_s VARCHAR(255), avg_transfer_rate_ INTEGER, device VARCHAR(255)) | generic | null | easy | extended | valid | valid | valid | [] | [] | [] | [
"Unsupported column expression: MIN(avg_transfer_rate_)[kb_s]"
] | [
"validated",
"extended",
"extended"
] | null | null | null | null | {
"split": "train",
"row_index": 77854
} |
Which entrant has a year after 1955? | SELECT entrant FROM table_name_59 WHERE year > 1955 | CREATE TABLE table_name_59 (entrant VARCHAR(255), year 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": 77855
} |
How many draws has a Club of real valladolid that was played less than 38? | SELECT MAX(draws) FROM table_name_35 WHERE club = 'real valladolid' AND played < 38 | CREATE TABLE table_name_35 (draws INTEGER, club VARCHAR(255), played VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77856
} |
How many losses are there with 5 goal differences, drew more than 10 times, and 43 goals against? | SELECT COUNT(losses) FROM table_name_51 WHERE goal_difference = 5 AND draws > 10 AND goals_against = 43 | CREATE TABLE table_name_51 (losses VARCHAR(255), goals_against VARCHAR(255), goal_difference VARCHAR(255), draws VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77857
} |
On which award show was Bad Girls nominated for Most Popular Drama in 2004? | SELECT award_show FROM table_name_66 WHERE year = 2004 AND category = 'most popular drama' | CREATE TABLE table_name_66 (award_show VARCHAR(255), year VARCHAR(255), category VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77858
} |
Who was the recipient when the show was nominated for Most Popular Drama after 2004? | SELECT recipient_s_ FROM table_name_5 WHERE result = 'nominated' AND category = 'most popular drama' AND year > 2004 | CREATE TABLE table_name_5 (recipient_s_ VARCHAR(255), year VARCHAR(255), result VARCHAR(255), category VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77859
} |
In what award show was Bad Girls nominated for Best Loved Drama in 2002? | SELECT award_show FROM table_name_53 WHERE category = 'best loved drama' AND year = 2002 | CREATE TABLE table_name_53 (award_show VARCHAR(255), category VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77860
} |
What is the average total number of medals for a nation with 2 silver medals and a rank larger than 7? | SELECT AVG(total) FROM table_name_97 WHERE silver = 2 AND rank > 7 | CREATE TABLE table_name_97 (total INTEGER, silver VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77861
} |
What is the lowest rank of Ukraine with fewer than 14 silver medals, fewer than 3 bronze medals, and a total of 4 medals? | SELECT MIN(rank) FROM table_name_95 WHERE silver < 14 AND bronze < 3 AND total = 4 AND nation = 'ukraine' | CREATE TABLE table_name_95 (rank INTEGER, nation VARCHAR(255), total VARCHAR(255), silver VARCHAR(255), bronze VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77862
} |
What is the total of bronze medals from nations with more than 16 total medals and ranks larger than 3? | SELECT COUNT(bronze) FROM table_name_68 WHERE total = 16 AND rank > 3 | CREATE TABLE table_name_68 (bronze VARCHAR(255), total VARCHAR(255), rank VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77863
} |
What is the total number of bronze medals with a total of 4 medals and 1 gold medal? | SELECT COUNT(bronze) FROM table_name_90 WHERE total = 4 AND gold = 1 | CREATE TABLE table_name_90 (bronze VARCHAR(255), total VARCHAR(255), gold VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77864
} |
What was the qualification with more than 162 laps in 1953? | SELECT qual FROM table_name_35 WHERE laps > 162 AND year = '1953' | CREATE TABLE table_name_35 (qual VARCHAR(255), laps VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77865
} |
What was the qualification with more than 585 laps? | SELECT qual FROM table_name_16 WHERE laps = 585 | CREATE TABLE table_name_16 (qual VARCHAR(255), laps VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77866
} |
How many laps had a qualification of 136.168? | SELECT COUNT(laps) FROM table_name_50 WHERE qual = '136.168' | CREATE TABLE table_name_50 (laps VARCHAR(255), qual VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77867
} |
Who was appointed with the title of envoy extraordinary and minister plenipotentiary, and a termination of mission of march 16, 1905? | SELECT appointed_by FROM table_name_15 WHERE title = 'envoy extraordinary and minister plenipotentiary' AND termination_of_mission = 'march 16, 1905' | CREATE TABLE table_name_15 (appointed_by VARCHAR(255), title VARCHAR(255), termination_of_mission VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77868
} |
What is the GDP (billion US$) of the country that has a GDP per capita (US$) of 8,861? | SELECT gdp__billion_us$_ FROM table_name_29 WHERE gdp_per_capita__us$_ = '8,861' | CREATE TABLE table_name_29 (gdp__billion_us$_ VARCHAR(255), gdp_per_capita__us$_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77869
} |
What is the name of the member country that has a Population of 1,341,664? | SELECT member_countries FROM table_name_71 WHERE population = '1,341,664' | CREATE TABLE table_name_71 (member_countries VARCHAR(255), population VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77870
} |
What is the total population of the country that has a GDP per capita (US$) of 15,054? | SELECT population FROM table_name_15 WHERE gdp_per_capita__us$_ = '15,054' | CREATE TABLE table_name_15 (population VARCHAR(255), gdp_per_capita__us$_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77871
} |
What is the name of the country that has an Area (km²) of 49,036? | SELECT member_countries FROM table_name_47 WHERE area__km²_ = '49,036' | CREATE TABLE table_name_47 (member_countries VARCHAR(255), area__km²_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77872
} |
What is the GDP (billion US$) of the country that has an Area (km²) of 316? | SELECT gdp__billion_us$_ FROM table_name_76 WHERE area__km²_ = '316' | CREATE TABLE table_name_76 (gdp__billion_us$_ VARCHAR(255), area__km²_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77873
} |
What is the GDP per capita (US$) of the country that has a Population of 2,011,473? | SELECT gdp_per_capita__us$_ FROM table_name_54 WHERE population = '2,011,473' | CREATE TABLE table_name_54 (gdp_per_capita__us$_ VARCHAR(255), population VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77874
} |
What is the original title for the Korean language film? | SELECT original_title FROM table_name_24 WHERE language = 'korean' | CREATE TABLE table_name_24 (original_title VARCHAR(255), language VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77875
} |
What language is the film La Diagonale du Fou in? | SELECT language FROM table_name_24 WHERE original_title = 'la diagonale du fou' | CREATE TABLE table_name_24 (language VARCHAR(255), original_title VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77876
} |
What was the original title of the Hindi film? | SELECT original_title FROM table_name_88 WHERE language = 'hindi' | CREATE TABLE table_name_88 (original_title VARCHAR(255), language VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77877
} |
What language is the film Karnal in? | SELECT language FROM table_name_22 WHERE original_title = 'karnal' | CREATE TABLE table_name_22 (language VARCHAR(255), original_title VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77878
} |
What was the film title nominated from the Netherlands? | SELECT film_title_used_in_nomination FROM table_name_18 WHERE country = 'netherlands' | CREATE TABLE table_name_18 (film_title_used_in_nomination VARCHAR(255), country VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77879
} |
What was the film title nominated from the Sweden? | SELECT film_title_used_in_nomination FROM table_name_16 WHERE country = 'sweden' | CREATE TABLE table_name_16 (film_title_used_in_nomination VARCHAR(255), country VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77880
} |
On the Date of 15 June 1992 what is the Score that is listed? | SELECT score FROM table_name_73 WHERE date = '15 june 1992' | CREATE TABLE table_name_73 (score VARCHAR(255), date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77881
} |
What is the average Crimean War with a Second Afghan War totaling 1, and a School of hamblin and porter's school, cork? | SELECT AVG(crimean_war) FROM table_name_49 WHERE second_afghan_war = '1' AND school = 'hamblin and porter''s school, cork' | CREATE TABLE table_name_49 (crimean_war INTEGER, second_afghan_war VARCHAR(255), school VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77882
} |
What Venue has Basketball as a Sport? | SELECT venue FROM table_name_92 WHERE sport = 'basketball' | CREATE TABLE table_name_92 (venue VARCHAR(255), sport VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77883
} |
What Venue has Spartak St. Petersburg Club? | SELECT venue FROM table_name_71 WHERE club = 'spartak st. petersburg' | CREATE TABLE table_name_71 (venue VARCHAR(255), club VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77884
} |
What League of VSL Sport was Established in 1935? | SELECT sport FROM table_name_40 WHERE established = 1935 AND league = 'vsl' | CREATE TABLE table_name_40 (sport VARCHAR(255), established VARCHAR(255), league VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77885
} |
What Club Established in 2010 has a League of MHL? | SELECT club FROM table_name_13 WHERE league = 'mhl' AND established = 2010 | CREATE TABLE table_name_13 (club VARCHAR(255), league VARCHAR(255), established VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77886
} |
What was the highest attendance week 12? | SELECT MAX(attendance) FROM table_name_64 WHERE week = 12 | CREATE TABLE table_name_64 (attendance INTEGER, week VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77887
} |
What is the record for the result w 33-3? | SELECT record FROM table_name_4 WHERE result = 'w 33-3' | CREATE TABLE table_name_4 (record VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77888
} |
What Committee has the First Elected of 1993? | SELECT committee FROM table_name_98 WHERE first_elected = 1993 | CREATE TABLE table_name_98 (committee VARCHAR(255), first_elected VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77889
} |
What is the total number of First Elected that has counties represented of Anne Arundel, District of 30, and a Ways and Means Committee? | SELECT COUNT(first_elected) FROM table_name_22 WHERE counties_represented = 'anne arundel' AND district = '30' AND committee = 'ways and means' | CREATE TABLE table_name_22 (first_elected VARCHAR(255), committee VARCHAR(255), counties_represented VARCHAR(255), district VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77890
} |
What counties represented have a First Elected of 2006 and a Ways and Means Committee? | SELECT counties_represented FROM table_name_97 WHERE first_elected = 2006 AND committee = 'ways and means' | CREATE TABLE table_name_97 (counties_represented VARCHAR(255), first_elected VARCHAR(255), committee VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77891
} |
What is the venue when the year is after 2001 for the summer olympics? | SELECT venue FROM table_name_56 WHERE year > 2001 AND competition = 'summer olympics' | CREATE TABLE table_name_56 (venue VARCHAR(255), year VARCHAR(255), competition VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77892
} |
What is the total attendance for the August 8 game? | SELECT SUM(attendance) FROM table_name_48 WHERE date = 'august 8' | CREATE TABLE table_name_48 (attendance INTEGER, date VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77893
} |
Which opponent led to a 56-59 record? | SELECT opponent FROM table_name_53 WHERE record = '56-59' | CREATE TABLE table_name_53 (opponent VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77894
} |
Where did they play that the score was 22-12? | SELECT venue FROM table_name_21 WHERE result = '22-12' | CREATE TABLE table_name_21 (venue VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77895
} |
What language is spoken after 2007 for the role of urvashi mathur? | SELECT language FROM table_name_56 WHERE year > 2007 AND role = 'urvashi mathur' | CREATE TABLE table_name_56 (language VARCHAR(255), year VARCHAR(255), role VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77896
} |
What role is spoken in hindi in 2011? | SELECT role FROM table_name_26 WHERE language = 'hindi' AND year = 2011 | CREATE TABLE table_name_26 (role VARCHAR(255), language VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77897
} |
What is the note section for the role with a language of hindi and a title of miley naa miley hum? | SELECT notes FROM table_name_30 WHERE language = 'hindi' AND title = 'miley naa miley hum' | CREATE TABLE table_name_30 (notes VARCHAR(255), language VARCHAR(255), title VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77898
} |
What is the title of the song that has a translation of Without Me? | SELECT title FROM table_name_38 WHERE english_translation = 'without me' | CREATE TABLE table_name_38 (title VARCHAR(255), english_translation VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77899
} |
what is the molecules when the percent mass is 1.0? | SELECT molecules FROM table_name_8 WHERE percent_of_mass = '1.0' | CREATE TABLE table_name_8 (molecules VARCHAR(255), percent_of_mass VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77900
} |
what is the mol.weight (daltons) when the percent of mass is 1.5? | SELECT molweight__daltons_ FROM table_name_47 WHERE percent_of_mass = '1.5' | CREATE TABLE table_name_47 (molweight__daltons_ VARCHAR(255), percent_of_mass VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77901
} |
what is the perfect of mass when the molecules is 1.74e14*? | SELECT percent_of_mass FROM table_name_58 WHERE molecules = '1.74e14*' | CREATE TABLE table_name_58 (percent_of_mass VARCHAR(255), molecules VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77902
} |
what is the percent of mass when the mol.weight (daltons) is 1e11? | SELECT percent_of_mass FROM table_name_21 WHERE molweight__daltons_ = '1e11' | CREATE TABLE table_name_21 (percent_of_mass VARCHAR(255), molweight__daltons_ VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77903
} |
How many people attended the game when the away team was dynamo kyiv, and a Home team of torpedo zaporizhia? | SELECT attendance FROM table_name_31 WHERE away_team = 'dynamo kyiv' AND home_team = 'torpedo zaporizhia' | CREATE TABLE table_name_31 (attendance VARCHAR(255), away_team VARCHAR(255), home_team VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77904
} |
What was the round when the home team was chornomorets odessa? | SELECT round FROM table_name_55 WHERE home_team = 'chornomorets odessa' | CREATE TABLE table_name_55 (round VARCHAR(255), home_team VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77905
} |
What is the rank when the game was at dnipro stadium , kremenchuk? | SELECT rank FROM table_name_55 WHERE location = 'dnipro stadium , kremenchuk' | CREATE TABLE table_name_55 (rank VARCHAR(255), location VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77906
} |
What are the lowest points for the engines of the Lamborghini v12 and the Chassis on Minardi m191b? | SELECT MIN(points) FROM table_name_48 WHERE engine = 'lamborghini v12' AND chassis = 'minardi m191b' | CREATE TABLE table_name_48 (points INTEGER, engine VARCHAR(255), chassis VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77907
} |
What is the Chassis from before 1997 with a Lamborghini v12 engine? | SELECT chassis FROM table_name_98 WHERE year < 1997 AND engine = 'lamborghini v12' | CREATE TABLE table_name_98 (chassis VARCHAR(255), year VARCHAR(255), engine VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77908
} |
What is the total of the year with a point larger than 0 or the Chassis of Minardi m190? | SELECT SUM(year) FROM table_name_32 WHERE chassis = 'minardi m190' AND points > 0 | CREATE TABLE table_name_32 (year INTEGER, chassis VARCHAR(255), points VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77909
} |
What are the lowest points from 1992 with a Chassis of Minardi m192? | SELECT MIN(points) FROM table_name_89 WHERE year = 1992 AND chassis = 'minardi m192' | CREATE TABLE table_name_89 (points INTEGER, year VARCHAR(255), chassis VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77910
} |
What Entrant has 0 points and from 1997? | SELECT entrant FROM table_name_67 WHERE points = 0 AND year = 1997 | CREATE TABLE table_name_67 (entrant VARCHAR(255), points VARCHAR(255), year VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77911
} |
What is the total roll with a decile less than 7, and an authority of state, in the Macraes Flat area? | SELECT COUNT(roll) FROM table_name_98 WHERE decile = 7 AND authority = 'state' AND area = 'macraes flat' | CREATE TABLE table_name_98 (roll VARCHAR(255), area VARCHAR(255), decile VARCHAR(255), authority VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77912
} |
What year has a decile more than 6, in the Waikouaiti area? | SELECT years FROM table_name_78 WHERE decile > 6 AND area = 'waikouaiti' | CREATE TABLE table_name_78 (years VARCHAR(255), decile VARCHAR(255), area VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77913
} |
What place did the Nashville Metros place in the 1994/95 Season? | SELECT regular_season FROM table_name_64 WHERE year = '1994/95' | CREATE TABLE table_name_64 (regular_season VARCHAR(255), year VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77914
} |
What years did the Nashville Metros have Usisl Indoor League? | SELECT year FROM table_name_63 WHERE league = 'usisl indoor' | CREATE TABLE table_name_63 (year VARCHAR(255), league VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77915
} |
Which Round has kim eun-ha as an Opponent? | SELECT round FROM table_name_37 WHERE opponent = 'kim eun-ha' | CREATE TABLE table_name_37 (round VARCHAR(255), opponent VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77916
} |
Which kind of Edition that has a Surface of clay, and Park Sung-Hee as an opponent? | SELECT edition FROM table_name_95 WHERE surface = 'clay' AND opponent = 'park sung-hee' | CREATE TABLE table_name_95 (edition VARCHAR(255), surface VARCHAR(255), opponent VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77917
} |
What is the highest gold number count where a county had over 9 golds and 10 silvers? | SELECT MAX(gold) FROM table_name_87 WHERE total > 9 AND silver > 10 | CREATE TABLE table_name_87 (gold INTEGER, total VARCHAR(255), silver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77918
} |
How many bronze medals did the country with 7 medals and over 5 silver medals receive? | SELECT SUM(bronze) FROM table_name_88 WHERE total = 7 AND silver > 5 | CREATE TABLE table_name_88 (bronze INTEGER, total VARCHAR(255), silver VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77919
} |
Name the date for venue of lord's | SELECT date FROM table_name_78 WHERE venue = 'lord''s' | CREATE TABLE table_name_78 (date VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77920
} |
Name the result for venue of lord's | SELECT result FROM table_name_82 WHERE venue = 'lord''s' | CREATE TABLE table_name_82 (result VARCHAR(255), venue VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77921
} |
Name the date for result of eng by 23 runs | SELECT date FROM table_name_24 WHERE result = 'eng by 23 runs' | CREATE TABLE table_name_24 (date VARCHAR(255), result VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77922
} |
Name the date for result of draw, and venue of edgbaston | SELECT date FROM table_name_37 WHERE result = 'draw' AND venue = 'edgbaston' | CREATE TABLE table_name_37 (date VARCHAR(255), result VARCHAR(255), venue VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77923
} |
What is the total number of weeks that the Seahawks had a record of 5-5? | SELECT COUNT(week) FROM table_name_73 WHERE record = '5-5' | CREATE TABLE table_name_73 (week VARCHAR(255), record VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77924
} |
Who has 1 win, 1 loss, and has played 2 matches? | SELECT name FROM table_name_77 WHERE wins = '1' AND losses = '1' AND matches = '2' | CREATE TABLE table_name_77 (name VARCHAR(255), matches VARCHAR(255), wins VARCHAR(255), losses VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77925
} |
Who has 5 losses and has played 11 matches? | SELECT name FROM table_name_47 WHERE losses = '5' AND matches = '11' | CREATE TABLE table_name_47 (name VARCHAR(255), losses VARCHAR(255), matches VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77926
} |
How many matches has Mohammad Al-Shamlan played when there is 1 win? | SELECT matches FROM table_name_43 WHERE wins = '1' AND name = 'mohammad al-shamlan' | CREATE TABLE table_name_43 (matches VARCHAR(255), wins VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77927
} |
How many matches were played when there was 1 draw and 1 win? | SELECT matches FROM table_name_92 WHERE draws = '1' AND wins = '1' | CREATE TABLE table_name_92 (matches VARCHAR(255), draws VARCHAR(255), wins VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77928
} |
Name the played with lost of 5 | SELECT played FROM table_name_65 WHERE lost = '5' | CREATE TABLE table_name_65 (played VARCHAR(255), lost VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77929
} |
Name the played with points against of points against | SELECT played FROM table_name_95 WHERE points_against = 'points against' | CREATE TABLE table_name_95 (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": 77930
} |
Name the tries with tries against of 38 | SELECT tries_for FROM table_name_35 WHERE tries_against = '38' | CREATE TABLE table_name_35 (tries_for VARCHAR(255), tries_against VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 77931
} |
Name the points against when tries against is 51 and points is 52 with played of 22 | SELECT points_against FROM table_name_91 WHERE played = '22' AND points = '52' AND tries_against = '51' | CREATE TABLE table_name_91 (points_against VARCHAR(255), tries_against VARCHAR(255), played VARCHAR(255), points VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77932
} |
Name the points against for cwmllynfell rfc | SELECT points_against FROM table_name_27 WHERE club = 'cwmllynfell rfc' | CREATE TABLE table_name_27 (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": 77933
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.