NATURAL_LANG stringlengths 12 244 | SQL stringlengths 18 336 | SCHEMA stringlengths 27 355 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Which Manufacturer has a Time/Retired of accident? | SELECT manufacturer FROM table_name_73 WHERE time_retired = "accident" | CREATE TABLE table_name_73 (manufacturer VARCHAR, time_retired VARCHAR) | [
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Which Grid has Laps of 25, and a Manufacturer of honda, and a Time/Retired of +1:47.797? | SELECT MIN(grid) FROM table_name_71 WHERE laps = 25 AND manufacturer = "honda" AND time_retired = "+1:47.797" | CREATE TABLE table_name_71 (grid INTEGER, time_retired VARCHAR, laps VARCHAR, manufacturer VARCHAR) | [
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What is the number of poles with 104 points? | SELECT poles FROM table_name_51 WHERE points = "104" | CREATE TABLE table_name_51 (poles VARCHAR, points VARCHAR) | [
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What is the number of podiums with 0 wins, 0 F.L. and 35 points? | SELECT podiums FROM table_name_87 WHERE wins = "0" AND fl = "0" AND points = "35" | CREATE TABLE table_name_87 (podiums VARCHAR, points VARCHAR, wins VARCHAR, fl VARCHAR) | [
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What is the number of poles with 4 races? | SELECT poles FROM table_name_96 WHERE races = "4" | CREATE TABLE table_name_96 (poles VARCHAR, races VARCHAR) | [
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What races have gp2 series, 0 F.L. and a 17th position? | SELECT races FROM table_name_43 WHERE series = "gp2 series" AND fl = "0" AND position = "17th" | CREATE TABLE table_name_43 (races VARCHAR, position VARCHAR, series VARCHAR, fl VARCHAR) | [
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What is the number of podiums with 0 wins and 6 points? | SELECT podiums FROM table_name_16 WHERE wins = "0" AND points = "6" | CREATE TABLE table_name_16 (podiums VARCHAR, wins VARCHAR, points VARCHAR) | [
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What is the number of wins with a 0 F.L., 0 poles, a position of 7th, and 35 points? | SELECT wins FROM table_name_98 WHERE fl = "0" AND poles = "0" AND position = "7th" AND points = "35" | CREATE TABLE table_name_98 (wins VARCHAR, points VARCHAR, position VARCHAR, fl VARCHAR, poles VARCHAR) | [
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Which pick came from Pittsburgh? | SELECT COUNT(pick) FROM table_name_60 WHERE college = "pittsburgh" | CREATE TABLE table_name_60 (pick VARCHAR, college VARCHAR) | [
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Which pick came from Texas El-Paso? | SELECT SUM(pick) FROM table_name_25 WHERE college = "texas el-paso" | CREATE TABLE table_name_25 (pick INTEGER, college VARCHAR) | [
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WHAT IS THE OPENING WITH A WORLDWIDE NUMBER OF $559,852,396? | SELECT opening FROM table_name_85 WHERE worldwide = "$559,852,396" | CREATE TABLE table_name_85 (opening VARCHAR, worldwide VARCHAR) | [
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WHAT IS THE BUDGET WHEN THE WORLDWIDE BOX OFFICE IS $363,398,565? | SELECT budget FROM table_name_28 WHERE worldwide = "$363,398,565" | CREATE TABLE table_name_28 (budget VARCHAR, worldwide VARCHAR) | [
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WHAT IS THE BUDGET FOR THE INCREDIBLES? | SELECT budget FROM table_name_28 WHERE film = "the incredibles" | CREATE TABLE table_name_28 (budget VARCHAR, film VARCHAR) | [
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WHAT IS THE WORLDWIDE BOX OFFICE FOR BRAVE? | SELECT worldwide FROM table_name_41 WHERE film = "brave" | CREATE TABLE table_name_41 (worldwide VARCHAR, film VARCHAR) | [
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Which driver for Bob Holden Motors has fewer than 36 points and placed 7 in race 1? | SELECT driver FROM table_name_80 WHERE points < 36 AND team = "bob holden motors" AND race_1 = "7" | CREATE TABLE table_name_80 (driver VARCHAR, race_1 VARCHAR, points VARCHAR, team VARCHAR) | [
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Which team received 4 in race 1? | SELECT team FROM table_name_68 WHERE race_1 = "4" | CREATE TABLE table_name_68 (team VARCHAR, race_1 VARCHAR) | [
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Which driver for Greenfield Mowers Racing has fewer than 36 points? | SELECT driver FROM table_name_82 WHERE points < 36 AND team = "greenfield mowers racing" | CREATE TABLE table_name_82 (driver VARCHAR, points VARCHAR, team VARCHAR) | [
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Who is the president representing the Creuse department? | SELECT président FROM table_name_10 WHERE départment__or_collectivity_ = "creuse" | CREATE TABLE table_name_10 (président VARCHAR, départment__or_collectivity_ VARCHAR) | [
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What number corresponds to Presidet Yves Krattinger of the Socialist party? | SELECT number FROM table_name_14 WHERE party = "socialist party" AND président = "yves krattinger" | CREATE TABLE table_name_14 (number VARCHAR, party VARCHAR, président VARCHAR) | [
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Which department has Guy-Dominique Kennel as president since 2008? | SELECT départment__or_collectivity_ FROM table_name_54 WHERE since = 2008 AND président = "guy-dominique kennel" | CREATE TABLE table_name_54 (départment__or_collectivity_ VARCHAR, since VARCHAR, président VARCHAR) | [
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Who is the president from the Union for a Popular Movement party that represents the Hautes-Alpes department? | SELECT président FROM table_name_36 WHERE party = "union for a popular movement" AND départment__or_collectivity_ = "hautes-alpes" | CREATE TABLE table_name_36 (président VARCHAR, party VARCHAR, départment__or_collectivity_ VARCHAR) | [
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What is the highest capacity for the venue, ticha stadium, located in varna? | SELECT MAX(capacity) FROM table_name_1 WHERE location = "varna" AND venue = "ticha stadium" | CREATE TABLE table_name_1 (capacity INTEGER, location VARCHAR, venue VARCHAR) | [
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What is the highest capacity for the venue of the club, vihren? | SELECT MAX(capacity) FROM table_name_19 WHERE club = "vihren" | CREATE TABLE table_name_19 (capacity INTEGER, club VARCHAR) | [
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What is the total number of capacity for the venue of the club, pirin? | SELECT COUNT(capacity) FROM table_name_30 WHERE club = "pirin" | CREATE TABLE table_name_30 (capacity VARCHAR, club VARCHAR) | [
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WHAT IS THE RATING THAT HAD A SHARE SMALLER THAN 4, AND 2.47 MILLION VIEWERS? | SELECT COUNT(rating) FROM table_name_70 WHERE share < 4 AND viewers__millions_ > 2.47 | CREATE TABLE table_name_70 (rating VARCHAR, share VARCHAR, viewers__millions_ VARCHAR) | [
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WHAT IS THE NUMBER OF VIEWERS WITH EPISODE LARGER THAN 10, RATING SMALLER THAN 2? | SELECT MAX(viewers__millions_) FROM table_name_78 WHERE episode_number > 10 AND rating < 2 | CREATE TABLE table_name_78 (viewers__millions_ INTEGER, episode_number VARCHAR, rating VARCHAR) | [
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WHAT IS THE HIGHEST VIEWERS WITH AN EPISODE LESS THAN 15 AND SHARE LAGER THAN 7? | SELECT MAX(viewers__millions_) FROM table_name_9 WHERE episode_number < 15 AND share > 7 | CREATE TABLE table_name_9 (viewers__millions_ INTEGER, episode_number VARCHAR, share VARCHAR) | [
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What was the score of the game after game 6 on October 28? | SELECT score FROM table_name_32 WHERE game > 6 AND october = 28 | CREATE TABLE table_name_32 (score VARCHAR, game VARCHAR, october VARCHAR) | [
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What was the record for the game before game 6 against the chicago black hawks? | SELECT record FROM table_name_54 WHERE game < 6 AND opponent = "chicago black hawks" | CREATE TABLE table_name_54 (record VARCHAR, game VARCHAR, opponent VARCHAR) | [
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What is Position/ Eliminated, when Age¹ is less than 22, and when Full Name is "Muhammad Fairul Azreen Bin Mohd Zahid"? | SELECT position__eliminated FROM table_name_29 WHERE age¹ < 22 AND full_name = "muhammad fairul azreen bin mohd zahid" | CREATE TABLE table_name_29 (position__eliminated VARCHAR, age¹ VARCHAR, full_name VARCHAR) | [
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What is Occupation², when Age¹ is greater than 24, when Alias is "Black"? | SELECT occupation² FROM table_name_52 WHERE age¹ > 24 AND alias = "black" | CREATE TABLE table_name_52 (occupation² VARCHAR, age¹ VARCHAR, alias VARCHAR) | [
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What is Full Name, when Age¹ is "20", and when Occupation² is "Student"? | SELECT full_name FROM table_name_23 WHERE age¹ = 20 AND occupation² = "student" | CREATE TABLE table_name_23 (full_name VARCHAR, age¹ VARCHAR, occupation² VARCHAR) | [
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Who is the Opponent when the Score is 2-8? | SELECT opponent FROM table_name_16 WHERE score = "2-8" | CREATE TABLE table_name_16 (opponent VARCHAR, score VARCHAR) | [
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What is the Date if the Site is Shriver Field? | SELECT date FROM table_name_34 WHERE site = "shriver field" | CREATE TABLE table_name_34 (date VARCHAR, site VARCHAR) | [
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Which Score has a Time of 5:00pm? | SELECT score FROM table_name_13 WHERE time = "5:00pm" | CREATE TABLE table_name_13 (score VARCHAR, time VARCHAR) | [
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Which site has a Score of 0-1? | SELECT site FROM table_name_98 WHERE score = "0-1" | CREATE TABLE table_name_98 (site VARCHAR, score VARCHAR) | [
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Who was the Opponent at Homewood Field with a Score of 5-8? | SELECT opponent FROM table_name_17 WHERE site = "homewood field" AND score = "5-8" | CREATE TABLE table_name_17 (opponent VARCHAR, site VARCHAR, score VARCHAR) | [
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What is the team #1 with an 11th place position? | SELECT team__number1 FROM table_name_85 WHERE position = "11th place" | CREATE TABLE table_name_85 (team__number1 VARCHAR, position VARCHAR) | [
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What is the 1st leg of bp. honvéd team #2? | SELECT 1 AS st_leg FROM table_name_62 WHERE team__number2 = "bp. honvéd" | CREATE TABLE table_name_62 (team__number2 VARCHAR) | [
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What is the 1st leg with a 4-3 agg.? | SELECT 1 AS st_leg FROM table_name_25 WHERE agg = "4-3" | CREATE TABLE table_name_25 (agg VARCHAR) | [
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What position has a 2-6 agg.? | SELECT position FROM table_name_8 WHERE agg = "2-6" | CREATE TABLE table_name_8 (position VARCHAR, agg VARCHAR) | [
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What is the 2nd leg of the 4-9 agg.? | SELECT 2 AS nd_leg FROM table_name_68 WHERE agg = "4-9" | CREATE TABLE table_name_68 (agg VARCHAR) | [
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Which sport had the club of the Montgomery Biscuits? | SELECT sport FROM table_name_22 WHERE club = "montgomery biscuits" | CREATE TABLE table_name_22 (sport VARCHAR, club VARCHAR) | [
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Which venue held a basketball team? | SELECT venue FROM table_name_98 WHERE sport = "basketball" | CREATE TABLE table_name_98 (venue VARCHAR, sport VARCHAR) | [
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Which sport was held in Huntsville at the Von Braun Center as part of the Southern Indoor Football League? | SELECT sport FROM table_name_76 WHERE city = "huntsville" AND venue = "von braun center" AND league = "southern indoor football league" | CREATE TABLE table_name_76 (sport VARCHAR, league VARCHAR, city VARCHAR, venue VARCHAR) | [
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Which venue hosted the Gridiron Development Football League? | SELECT venue FROM table_name_85 WHERE league = "gridiron development football league" | CREATE TABLE table_name_85 (venue VARCHAR, league VARCHAR) | [
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Which venue hosted the Dixie Derby Girls? | SELECT venue FROM table_name_68 WHERE club = "dixie derby girls" | CREATE TABLE table_name_68 (venue VARCHAR, club VARCHAR) | [
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Which city has a club called the Huntsville Stars? | SELECT city FROM table_name_96 WHERE club = "huntsville stars" | CREATE TABLE table_name_96 (city VARCHAR, club VARCHAR) | [
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which Type has a Title of so alive? | SELECT type FROM table_name_49 WHERE title = "so alive" | CREATE TABLE table_name_49 (type VARCHAR, title VARCHAR) | [
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Name the Year which has a Label of atco records and a Type of album? Question 2 | SELECT year FROM table_name_15 WHERE label = "atco records" AND type = "album" | CREATE TABLE table_name_15 (year VARCHAR, label VARCHAR, type VARCHAR) | [
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Which Title has a Type of album and a Year larger than 1986? | SELECT title FROM table_name_73 WHERE type = "album" AND year > 1986 | CREATE TABLE table_name_73 (title VARCHAR, type VARCHAR, year VARCHAR) | [
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Which Title has a Type of ep and a Year larger than 2003? | SELECT title FROM table_name_83 WHERE type = "ep" AND year > 2003 | CREATE TABLE table_name_83 (title VARCHAR, type VARCHAR, year VARCHAR) | [
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Which Title has a Type of album in 1983? | SELECT title FROM table_name_34 WHERE type = "album" AND year = 1983 | CREATE TABLE table_name_34 (title VARCHAR, type VARCHAR, year VARCHAR) | [
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What was the date of the game with an attendance of 20,874 fans? | SELECT date FROM table_name_23 WHERE attendance = "20,874" | CREATE TABLE table_name_23 (date VARCHAR, attendance VARCHAR) | [
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What was the record the the match against vs. calgary stampeders before week 15? | SELECT record FROM table_name_66 WHERE opponent = "vs. calgary stampeders" AND week < 15 | CREATE TABLE table_name_66 (record VARCHAR, opponent VARCHAR, week VARCHAR) | [
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What is the status when the artist is Neil Sedaka? | SELECT status FROM table_name_31 WHERE artist = "neil sedaka" | CREATE TABLE table_name_31 (status VARCHAR, artist VARCHAR) | [
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What was the theme for the Top 11 week? | SELECT theme FROM table_name_59 WHERE week = "top 11" | CREATE TABLE table_name_59 (theme VARCHAR, week VARCHAR) | [
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What week did the contestant finish in the bottom 2 with a Celine Dion song? | SELECT week FROM table_name_41 WHERE status = "bottom 2" AND artist = "celine dion" | CREATE TABLE table_name_41 (week VARCHAR, status VARCHAR, artist VARCHAR) | [
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What order was the performance of a Richard Marx song? | SELECT order_sung FROM table_name_43 WHERE artist = "richard marx" | CREATE TABLE table_name_43 (order_sung VARCHAR, artist VARCHAR) | [
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What artist's song was performed in the week with theme of Billboard #1? | SELECT artist FROM table_name_89 WHERE theme = "billboard #1" | CREATE TABLE table_name_89 (artist VARCHAR, theme VARCHAR) | [
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What is Headquarter, when Type is Independent Online News Portal? | SELECT headquarter FROM table_name_49 WHERE type = "independent online news portal" | CREATE TABLE table_name_49 (headquarter VARCHAR, type VARCHAR) | [
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What is Status, when Newspaper/Magazine is Al-Thawra? | SELECT status FROM table_name_24 WHERE newspaper_magazine = "al-thawra" | CREATE TABLE table_name_24 (status VARCHAR, newspaper_magazine VARCHAR) | [
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What is Headquarter, when Newspaper/Magazine is Al-Ayyam? | SELECT headquarter FROM table_name_4 WHERE newspaper_magazine = "al-ayyam" | CREATE TABLE table_name_4 (headquarter VARCHAR, newspaper_magazine VARCHAR) | [
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What is Type, when Newspaper/Magazine is Telecoms & It Magazine? | SELECT type FROM table_name_97 WHERE newspaper_magazine = "telecoms & it magazine" | CREATE TABLE table_name_97 (type VARCHAR, newspaper_magazine VARCHAR) | [
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What is Headquarter, when Language is English, and when Type is Independent Online News Portal? | SELECT headquarter FROM table_name_89 WHERE language = "english" AND type = "independent online news portal" | CREATE TABLE table_name_89 (headquarter VARCHAR, language VARCHAR, type VARCHAR) | [
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What is Headquarter, when Type is Government-Owned, and when Newspaper/Magazine is Al-Jumhuriya? | SELECT headquarter FROM table_name_11 WHERE type = "government-owned" AND newspaper_magazine = "al-jumhuriya" | CREATE TABLE table_name_11 (headquarter VARCHAR, type VARCHAR, newspaper_magazine VARCHAR) | [
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What was the box score during a game that had a score of 86-96? | SELECT Box AS score FROM table_name_20 WHERE score = "86-96" | CREATE TABLE table_name_20 (Box VARCHAR, score VARCHAR) | [
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What was the report at State Sports Centre? | SELECT report FROM table_name_43 WHERE venue = "state sports centre" | CREATE TABLE table_name_43 (report VARCHAR, venue VARCHAR) | [
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Who was the home team at Gold Coast Convention Centre? | SELECT home_team FROM table_name_8 WHERE venue = "gold coast convention centre" | CREATE TABLE table_name_8 (home_team VARCHAR, venue VARCHAR) | [
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What was the date that featured a game against Gold Coast Blaze? | SELECT date FROM table_name_21 WHERE away_team = "gold coast blaze" | CREATE TABLE table_name_21 (date VARCHAR, away_team VARCHAR) | [
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What was the box score during a home game of the Adelaide 36ers? | SELECT Box AS score FROM table_name_39 WHERE home_team = "adelaide 36ers" | CREATE TABLE table_name_39 (Box VARCHAR, home_team VARCHAR) | [
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How many Picks have an Overall smaller than 304, and a Position of g, and a Round smaller than 11? | SELECT COUNT(pick) FROM table_name_86 WHERE overall < 304 AND position = "g" AND round < 11 | CREATE TABLE table_name_86 (pick VARCHAR, round VARCHAR, overall VARCHAR, position VARCHAR) | [
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Which Overall is the highest one that has a Name of raleigh mckenzie, and a Pick larger than 10? | SELECT MAX(overall) FROM table_name_31 WHERE name = "raleigh mckenzie" AND pick > 10 | CREATE TABLE table_name_31 (overall INTEGER, name VARCHAR, pick VARCHAR) | [
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How many Picks have a College of hawaii, and an Overall smaller than 122? | SELECT COUNT(pick) FROM table_name_51 WHERE college = "hawaii" AND overall < 122 | CREATE TABLE table_name_51 (pick VARCHAR, college VARCHAR, overall VARCHAR) | [
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Which Round is the highest one that has a Pick smaller than 10, and a Name of tory nixon? | SELECT MAX(round) FROM table_name_7 WHERE pick < 10 AND name = "tory nixon" | CREATE TABLE table_name_7 (round INTEGER, pick VARCHAR, name VARCHAR) | [
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Which Ofsted has a Capacity of 1677? | SELECT ofsted FROM table_name_83 WHERE capacity = 1677 | CREATE TABLE table_name_83 (ofsted VARCHAR, capacity VARCHAR) | [
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Which Ofsted has a School of marple hall school, and a Capacity larger than 1711? | SELECT MIN(ofsted) FROM table_name_63 WHERE school = "marple hall school" AND capacity > 1711 | CREATE TABLE table_name_63 (ofsted INTEGER, school VARCHAR, capacity VARCHAR) | [
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Which School has Ages of 11-16, and an Ofsted smaller than 106142, and a Capacity of 1206? | SELECT school FROM table_name_65 WHERE ages = "11-16" AND ofsted < 106142 AND capacity = 1206 | CREATE TABLE table_name_65 (school VARCHAR, capacity VARCHAR, ages VARCHAR, ofsted VARCHAR) | [
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What is heaton chapel's capacity? | SELECT MAX(capacity) FROM table_name_54 WHERE locality = "heaton chapel" | CREATE TABLE table_name_54 (capacity INTEGER, locality VARCHAR) | [
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Which School has a Capacity larger than 730, and an Ofsted smaller than 106135, and a Locality of heaton mersey? | SELECT school FROM table_name_89 WHERE capacity > 730 AND ofsted < 106135 AND locality = "heaton mersey" | CREATE TABLE table_name_89 (school VARCHAR, locality VARCHAR, capacity VARCHAR, ofsted VARCHAR) | [
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What is the lowest Game, when Date is March 21? | SELECT MIN(game) FROM table_name_66 WHERE date = "march 21" | CREATE TABLE table_name_66 (game INTEGER, date VARCHAR) | [
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What is Team, when Game is 77? | SELECT team FROM table_name_90 WHERE game = 77 | CREATE TABLE table_name_90 (team VARCHAR, game VARCHAR) | [
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What is Team, when Game is 73? | SELECT team FROM table_name_21 WHERE game = 73 | CREATE TABLE table_name_21 (team VARCHAR, game VARCHAR) | [
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What location has surveying as the type? | SELECT location FROM table_name_68 WHERE type = "surveying" | CREATE TABLE table_name_68 (location VARCHAR, type VARCHAR) | [
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What average wheels has accounting as the type, with IBM Collection as the location? | SELECT AVG(wheels) FROM table_name_71 WHERE type = "accounting" AND location = "ibm collection" | CREATE TABLE table_name_71 (wheels INTEGER, type VARCHAR, location VARCHAR) | [
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What is the configuration for the country France, with accounting as the type, and wheels greater than 6? | SELECT configuration FROM table_name_25 WHERE country = "france" AND type = "accounting" AND wheels > 6 | CREATE TABLE table_name_25 (configuration VARCHAR, wheels VARCHAR, country VARCHAR, type VARCHAR) | [
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Which NFL team has a pick# less than 200 for Travis Davis? | SELECT nfl_team FROM table_name_23 WHERE pick__number < 200 AND player = "travis davis" | CREATE TABLE table_name_23 (nfl_team VARCHAR, pick__number VARCHAR, player VARCHAR) | [
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Which player was a running back from San Jose State? | SELECT player FROM table_name_94 WHERE position = "running back" AND college = "san jose state" | CREATE TABLE table_name_94 (player VARCHAR, position VARCHAR, college VARCHAR) | [
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What is the pick# from South Dakota college? | SELECT pick__number FROM table_name_23 WHERE college = "south dakota" | CREATE TABLE table_name_23 (pick__number VARCHAR, college VARCHAR) | [
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Which college has a nose tackle position? | SELECT college FROM table_name_30 WHERE position = "nose tackle" | CREATE TABLE table_name_30 (college VARCHAR, position VARCHAR) | [
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1900,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
1102,
3274,
96,
18716,
8000,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Can you tell me the Home or the Away that has the Shirt Number larger than 18? | SELECT home_or_away FROM table_name_25 WHERE shirt_number > 18 | CREATE TABLE table_name_25 (home_or_away VARCHAR, shirt_number INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
5515,
834,
127,
834,
8006,
584,
4280,
28027,
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834,
5525,
1152,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
1072,
25,
817,
140,
8,
1210,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
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127,
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21680,
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1828,
549,
17444,
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8677,
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5525,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Can you tell me the Score that has the Result of win, and the Date of 13 november 2009? | SELECT score FROM table_name_62 WHERE result = "win" AND date = "13 november 2009" | CREATE TABLE table_name_62 (score VARCHAR, result VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
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834,
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9022,
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4280,
28027,
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4280,
28027,
6,
833,
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4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
1072,
25,
817,
140,
8,
17763,
24,
65,... | [
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
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3430,
833,
3274,
96,
2368,
3,
5326,
18247,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Can you tell me the lowest Cap Number that has the Date of 8 february 2009, and the Shirt Number larger than 19? | SELECT MIN(cap_number) FROM table_name_96 WHERE date = "8 february 2009" AND shirt_number > 19 | CREATE TABLE table_name_96 (cap_number INTEGER, date VARCHAR, shirt_number VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
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5525,
1152,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
6,
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834,
5525,
1152,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
1072,
25... | [
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
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1,
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1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
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427,
833,
3274,
96,
927,
29976,
76,
1208,
2464,
121,
3430,
8677,
834,
5525,
1152,
2490,
957,
1,
-100,
-100,
-100,
-100,
-100,
-... |
Which Points have a Position larger than 6, and a Lost smaller than 13? | SELECT AVG(points) FROM table_name_98 WHERE position > 6 AND lost < 13 | CREATE TABLE table_name_98 (points INTEGER, position VARCHAR, lost VARCHAR) | [
32100,
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3,
21342,
17966,
6,
1102,
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28027,
6,
1513,
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4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4564,
7,
43,
3,
9,
14258,
2186... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
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1,
1,
1,
1,
1,
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0,
0,
0,
0,
0,
0,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How much Drawn has a Lost of 2, and Played smaller than 14? | SELECT SUM(drawn) FROM table_name_46 WHERE lost = 2 AND played < 14 | CREATE TABLE table_name_46 (drawn INTEGER, lost VARCHAR, played VARCHAR) | [
32100,
32106,
32105,
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28027,
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584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
231,
19183,
29,
65,
3,
9,
195... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
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0,
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0... | [
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3430,
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2,
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1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Points is the highest one that has a Drawn smaller than 2, and a Name of esc holzkirchen, and Played smaller than 14? | SELECT MAX(points) FROM table_name_91 WHERE drawn < 2 AND name = "esc holzkirchen" AND played < 14 | CREATE TABLE table_name_91 (points INTEGER, played VARCHAR, drawn VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
2700,
7,
3,
21342,
17966,
6,
1944,
584,
4280,
28027,
6,
6796,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4564,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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121,
3430,
1944,
3,
2,
968,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Lost is the lowest one that has a Name of esc holzkirchen, and Played smaller than 14? | SELECT MIN(lost) FROM table_name_79 WHERE name = "esc holzkirchen" AND played < 14 | CREATE TABLE table_name_79 (lost INTEGER, name VARCHAR, played VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
2298,
17,
3,
21342,
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6,
564,
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4280,
28027,
6,
1944,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
19576,
19,
8,
7402,
80,
24,
65... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
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1,
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0... | [
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-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest numbered episode that had a rating/share of 0.9/4 and more than 3.79 million viewers? | SELECT MIN(episode__number) FROM table_name_89 WHERE rating / SHARE(18 AS –49) = 0.9 / 4 AND viewers__millions_ > 3.79 | CREATE TABLE table_name_89 (episode__number INTEGER, viewers__millions_ VARCHAR, rating VARCHAR) | [
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17030,
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4280,
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6,
5773,
584,
4280,
28027,
61,
3,
... | [
1,
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1,
1,
1,
1,
1,
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1,
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1,
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1,
1,
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2606,
6157,
3,
104,
3647,
61,
3274,
3,
23758,
3,
87,
314,
3430,
1... |
What is the average number of million viewers that watched an episode before episode 11 with a share of 4? | SELECT AVG(viewers__millions_) FROM table_name_28 WHERE episode__number < 11 AND share = "4" | CREATE TABLE table_name_28 (viewers__millions_ INTEGER, episode__number VARCHAR, share VARCHAR) | [
32100,
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4280,
28027,
6,
698,
584,
4280,
28027,
61,
3,
32105,
32106,
32... | [
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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3274,
96,
20364,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
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