instruction stringlengths 67 299 | input stringlengths 88 550 | output stringlengths 32 484 |
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Write a SQL query that answers the following question: What is the Power when the acceleration 0–100km/h (0–62mph) is 9.1 s? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_49 (power VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) | SELECT power FROM table_name_49 WHERE acceleration_0_100km_h__0_62mph_ = "9.1 s" |
Write a SQL query that answers the following question: What is the transmission when the engine is 2.0l, and acceleration 0–100km/h (0–62mph) is 10.5 s? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_99 (transmission VARCHAR, engine VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) | SELECT transmission FROM table_name_99 WHERE engine = "2.0l" AND acceleration_0_100km_h__0_62mph_ = "10.5 s" |
Write a SQL query that answers the following question: What is the production when engine is 2.7l, and acceleration 0–100km/h (0–62mph) is 8.5 s? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (production VARCHAR, engine VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) | SELECT production FROM table_name_5 WHERE engine = "2.7l" AND acceleration_0_100km_h__0_62mph_ = "8.5 s" |
Write a SQL query that answers the following question: What is the transmission when the production was 2002-2005? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_29 (transmission VARCHAR, production VARCHAR) | SELECT transmission FROM table_name_29 WHERE production = "2002-2005" |
Write a SQL query that answers the following question: What is the acceleration 0–100km/h (0–62mph) when the transmission is 5-speed manual? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_69 (acceleration_0_100km_h__0_62mph_ VARCHAR, transmission VARCHAR) | SELECT acceleration_0_100km_h__0_62mph_ FROM table_name_69 WHERE transmission = "5-speed manual" |
Write a SQL query that answers the following question: What is the highest year for the Bethesda Game Studios Developer? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_68 (year INTEGER, developer_s_ VARCHAR) | SELECT MAX(year) FROM table_name_68 WHERE developer_s_ = "bethesda game studios" |
Write a SQL query that answers the following question: What is the lowest year for the game called The Elder Scrolls v: Skyrim? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_99 (year INTEGER, game VARCHAR) | SELECT MIN(year) FROM table_name_99 WHERE game = "the elder scrolls v: skyrim" |
Write a SQL query that answers the following question: What game was developed by Naughty Dog? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_33 (genre VARCHAR, developer_s_ VARCHAR) | SELECT genre FROM table_name_33 WHERE developer_s_ = "naughty dog" |
Write a SQL query that answers the following question: What is the imed/avicenna listed for a medical school offshore in saint kitts and nevis which was established before 2000 and will give you an MD? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_31 (imed_avicenna_listed VARCHAR, established VARCHAR, degree VARCHAR, regional_offshore VARCHAR, country_territory VARCHAR) | SELECT imed_avicenna_listed FROM table_name_31 WHERE regional_offshore = "offshore" AND country_territory = "saint kitts and nevis" AND degree = "md" AND established < 2000 |
Write a SQL query that answers the following question: What country has a medical school established in 1969 with both an IMED and avicenna? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_15 (country_territory VARCHAR, imed_avicenna_listed VARCHAR, established VARCHAR) | SELECT country_territory FROM table_name_15 WHERE imed_avicenna_listed = "both" AND established = 1969 |
Write a SQL query that answers the following question: What is the average year that the medical school in dominican republic was established? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_86 (established INTEGER, country_territory VARCHAR) | SELECT AVG(established) FROM table_name_86 WHERE country_territory = "dominican republic" |
Write a SQL query that answers the following question: What are the most wins with byes more than 0 and 1637 against? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_99 (wins INTEGER, against VARCHAR, byes VARCHAR) | SELECT MAX(wins) FROM table_name_99 WHERE against = 1637 AND byes > 0 |
Write a SQL query that answers the following question: What are the total byes for the Red Cliffs with more than 4 losses and more than 2422 against? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_78 (byes VARCHAR, against VARCHAR, losses VARCHAR, sunrayia_fl VARCHAR) | SELECT COUNT(byes) FROM table_name_78 WHERE losses > 4 AND sunrayia_fl = "red cliffs" AND against > 2422 |
Write a SQL query that answers the following question: What's the total wins for Wentworth with less than 0 byes? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_45 (wins VARCHAR, sunrayia_fl VARCHAR, byes VARCHAR) | SELECT COUNT(wins) FROM table_name_45 WHERE sunrayia_fl = "wentworth" AND byes < 0 |
Write a SQL query that answers the following question: Which venue had an opponent of Sunderland and a result of a 1-1 draw? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_40 (venue VARCHAR, opponent VARCHAR, result VARCHAR) | SELECT venue FROM table_name_40 WHERE opponent = "sunderland" AND result = "1-1" |
Write a SQL query that answers the following question: What is the number of attendance values for ties having an opponent of Middlesbrough and result of 3-1? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_2 (attendance VARCHAR, opponent VARCHAR, result VARCHAR) | SELECT COUNT(attendance) FROM table_name_2 WHERE opponent = "middlesbrough" AND result = "3-1" |
Write a SQL query that answers the following question: Which venue ended in a 3-0 result? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_35 (venue VARCHAR, result VARCHAR) | SELECT venue FROM table_name_35 WHERE result = "3-0" |
Write a SQL query that answers the following question: Where was a 0-5 game played? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (venue VARCHAR, result VARCHAR) | SELECT venue FROM table_name_7 WHERE result = "0-5" |
Write a SQL query that answers the following question: What is the average rank of a player with fewer than 3 matches? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_38 (rank INTEGER, matches INTEGER) | SELECT AVG(rank) FROM table_name_38 WHERE matches < 3 |
Write a SQL query that answers the following question: Who was the opponent on April 21? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_24 (opponent VARCHAR, date VARCHAR) | SELECT opponent FROM table_name_24 WHERE date = "april 21" |
Write a SQL query that answers the following question: What's the record on April 12 when the location was The Omni? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_25 (record VARCHAR, location_attendance VARCHAR, date VARCHAR) | SELECT record FROM table_name_25 WHERE location_attendance = "the omni" AND date = "april 12" |
Write a SQL query that answers the following question: What date was the score "score"? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_91 (date VARCHAR) | SELECT date FROM table_name_91 WHERE "score" = "score" |
Write a SQL query that answers the following question: What's the score of game 77? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_20 (score VARCHAR, game VARCHAR) | SELECT score FROM table_name_20 WHERE game = "77" |
Write a SQL query that answers the following question: What date had a record of 43-34? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (date VARCHAR, record VARCHAR) | SELECT date FROM table_name_17 WHERE record = "43-34" |
Write a SQL query that answers the following question: What Artist had a Percentage of 17.14%? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (artist VARCHAR, percentage VARCHAR) | SELECT artist FROM table_name_5 WHERE percentage = "17.14%" |
Write a SQL query that answers the following question: What Percentage has a Place of 5? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_73 (percentage VARCHAR, place VARCHAR) | SELECT percentage FROM table_name_73 WHERE place = 5 |
Write a SQL query that answers the following question: Which BR number has an LMS number over 14768? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (br_number VARCHAR, lms_number INTEGER) | SELECT br_number FROM table_name_5 WHERE lms_number > 14768 |
Write a SQL query that answers the following question: what is the frequency when the city of license is belleville? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_42 (frequency VARCHAR, city_of_license VARCHAR) | SELECT frequency FROM table_name_42 WHERE city_of_license = "belleville" |
Write a SQL query that answers the following question: what is the class when the power is 22500 watts? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (class VARCHAR, power VARCHAR) | SELECT class FROM table_name_17 WHERE power = "22500 watts" |
Write a SQL query that answers the following question: what is the class when the identifier is cjbc-1-fm? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_60 (class VARCHAR, identifier VARCHAR) | SELECT class FROM table_name_60 WHERE identifier = "cjbc-1-fm" |
Write a SQL query that answers the following question: what is the recnet when the city of license is peterborough? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_68 (recnet VARCHAR, city_of_license VARCHAR) | SELECT recnet FROM table_name_68 WHERE city_of_license = "peterborough" |
Write a SQL query that answers the following question: what is the power when the city of license is belleville? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_71 (power VARCHAR, city_of_license VARCHAR) | SELECT power FROM table_name_71 WHERE city_of_license = "belleville" |
Write a SQL query that answers the following question: what is the identifier when the power is 22500 watts? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (identifier VARCHAR, power VARCHAR) | SELECT identifier FROM table_name_17 WHERE power = "22500 watts" |
Write a SQL query that answers the following question: What is the Opponents in the game with a Date of nov. 25? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_80 (opponents INTEGER, date VARCHAR) | SELECT MIN(opponents) FROM table_name_80 WHERE date = "nov. 25" |
Write a SQL query that answers the following question: How many games does leandro love have? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_96 (games VARCHAR, name VARCHAR) | SELECT games FROM table_name_96 WHERE name = "leandro love" |
Write a SQL query that answers the following question: What is the lowest number of goals joe keenan, who has more than 1 assists, had in 2007/08? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_84 (goals INTEGER, assists VARCHAR, years VARCHAR, name VARCHAR) | SELECT MIN(goals) FROM table_name_84 WHERE years = "2007/08" AND name = "joe keenan" AND assists > 1 |
Write a SQL query that answers the following question: What is the lowest number of goals of the player with 9 (0) games and less than 0 assists? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_37 (goals INTEGER, games VARCHAR, assists VARCHAR) | SELECT MIN(goals) FROM table_name_37 WHERE games = "9 (0)" AND assists < 0 |
Write a SQL query that answers the following question: How many finals had more than 0 goals and 8 assists? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_14 (finals VARCHAR, goals VARCHAR, assists VARCHAR) | SELECT finals FROM table_name_14 WHERE goals > 0 AND assists = 8 |
Write a SQL query that answers the following question: When the nationality is united states, and the time is 58.06, and the heat is larger than 5 what is the lowest rank? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_6 (rank INTEGER, heat VARCHAR, nationality VARCHAR, time VARCHAR) | SELECT MIN(rank) FROM table_name_6 WHERE nationality = "united states" AND time = "58.06" AND heat > 5 |
Write a SQL query that answers the following question: What is the highest rank when the lane is larger than 6, and the heat is 3, and the nationality is colombia? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_67 (rank INTEGER, nationality VARCHAR, lane VARCHAR, heat VARCHAR) | SELECT MAX(rank) FROM table_name_67 WHERE lane > 6 AND heat = 3 AND nationality = "colombia" |
Write a SQL query that answers the following question: What is the total lane for a heat larger than 7? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_16 (lane VARCHAR, heat INTEGER) | SELECT COUNT(lane) FROM table_name_16 WHERE heat > 7 |
Write a SQL query that answers the following question: What is the highest heat when the nationality is poland, and the lane is smaller than 6? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_22 (heat INTEGER, nationality VARCHAR, lane VARCHAR) | SELECT MAX(heat) FROM table_name_22 WHERE nationality = "poland" AND lane < 6 |
Write a SQL query that answers the following question: Which Lead Pitch/mm has a Body Width/mm larger than 10.16? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_28 (lead_pitch_mm INTEGER, body_width_mm INTEGER) | SELECT SUM(lead_pitch_mm) FROM table_name_28 WHERE body_width_mm > 10.16 |
Write a SQL query that answers the following question: How much Body Width/mm has a Part Number of tsop40/44, and a Body Length/mm smaller than 18.42? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_66 (body_width_mm INTEGER, part_number VARCHAR, body_length_mm VARCHAR) | SELECT SUM(body_width_mm) FROM table_name_66 WHERE part_number = "tsop40/44" AND body_length_mm < 18.42 |
Write a SQL query that answers the following question: Which Lead Pitch/mm has a Part Number of tsop24/28? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_13 (lead_pitch_mm INTEGER, part_number VARCHAR) | SELECT MAX(lead_pitch_mm) FROM table_name_13 WHERE part_number = "tsop24/28" |
Write a SQL query that answers the following question: What is the highest amount of silver when gold is 1 and bronze larger than 0? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_40 (silver INTEGER, gold VARCHAR, bronze VARCHAR) | SELECT MAX(silver) FROM table_name_40 WHERE gold = 1 AND bronze > 0 |
Write a SQL query that answers the following question: What is the Time of the Athlete with a Reaction time of 0.164? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_48 (time INTEGER, reaction_time VARCHAR) | SELECT SUM(time) FROM table_name_48 WHERE reaction_time = 0.164 |
Write a SQL query that answers the following question: What is the Time of the Athlete in Lane 4? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_34 (time VARCHAR, lane VARCHAR) | SELECT COUNT(time) FROM table_name_34 WHERE lane = 4 |
Write a SQL query that answers the following question: What is the Lane of the Athlete from Great Britain with a Reaction time of less than 0.218 and a Time larger than 44.74? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_82 (lane INTEGER, nationality VARCHAR, reaction_time VARCHAR, time VARCHAR) | SELECT SUM(lane) FROM table_name_82 WHERE reaction_time < 0.218 AND time > 44.74 AND nationality = "great britain" |
Write a SQL query that answers the following question: What is the time in week 3? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_29 (tv_time VARCHAR, week VARCHAR) | SELECT tv_time FROM table_name_29 WHERE week = 3 |
Write a SQL query that answers the following question: What is the week with attendance of 73,572? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_61 (week INTEGER, attendance VARCHAR) | SELECT MAX(week) FROM table_name_61 WHERE attendance = "73,572" |
Write a SQL query that answers the following question: What week was the opponent the San Diego Chargers? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_94 (week VARCHAR, opponent VARCHAR) | SELECT COUNT(week) FROM table_name_94 WHERE opponent = "san diego chargers" |
Write a SQL query that answers the following question: What week was the result of l 38–21? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_63 (week INTEGER, result VARCHAR) | SELECT MAX(week) FROM table_name_63 WHERE result = "l 38–21" |
Write a SQL query that answers the following question: What's the total of Rank for the County of Galway and has a Total that's larger than 13? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_60 (rank INTEGER, county VARCHAR, total VARCHAR) | SELECT SUM(rank) FROM table_name_60 WHERE county = "galway" AND total > 13 |
Write a SQL query that answers the following question: What County has an Opposition of Antrim and the Player Bernie Forde? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_53 (county VARCHAR, opposition VARCHAR, player VARCHAR) | SELECT county FROM table_name_53 WHERE opposition = "antrim" AND player = "bernie forde" |
Write a SQL query that answers the following question: What's the highest Rank for the County of Offaly, the Player of Mark Corrigan, and the Total that is smaller than 8? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_49 (rank INTEGER, total VARCHAR, county VARCHAR, player VARCHAR) | SELECT MAX(rank) FROM table_name_49 WHERE county = "offaly" AND player = "mark corrigan" AND total < 8 |
Write a SQL query that answers the following question: Which Channel has an Opponent of washington redskins? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_41 (channel VARCHAR, opponent VARCHAR) | SELECT channel FROM table_name_41 WHERE opponent = "washington redskins" |
Write a SQL query that answers the following question: Which attendance has a Channel of espn, and a Date of september 5, 2002? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_57 (attendance VARCHAR, channel VARCHAR, date VARCHAR) | SELECT attendance FROM table_name_57 WHERE channel = "espn" AND date = "september 5, 2002" |
Write a SQL query that answers the following question: Which Date has a Result of w 27–20? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_30 (date VARCHAR, result VARCHAR) | SELECT date FROM table_name_30 WHERE result = "w 27–20" |
Write a SQL query that answers the following question: Which Week has an Attendance of 63,447? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_35 (week VARCHAR, attendance VARCHAR) | SELECT week FROM table_name_35 WHERE attendance = "63,447" |
Write a SQL query that answers the following question: Which Date has a Stadium of giants stadium, and a Week smaller than 13, and an Opponent of seattle seahawks? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (date VARCHAR, opponent VARCHAR, stadium VARCHAR, week VARCHAR) | SELECT date FROM table_name_79 WHERE stadium = "giants stadium" AND week < 13 AND opponent = "seattle seahawks" |
Write a SQL query that answers the following question: Who was the athlete with react of 0.185? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (athlete VARCHAR, react VARCHAR) | SELECT athlete FROM table_name_79 WHERE react = 0.185 |
Write a SQL query that answers the following question: What's the smallest react of Zimbabwe, ranked after 1 in a lane after 3 and a time less than 20.3? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_90 (react INTEGER, rank VARCHAR, nationality VARCHAR, lane VARCHAR, time VARCHAR) | SELECT MIN(react) FROM table_name_90 WHERE lane > 3 AND time < 20.3 AND nationality = "zimbabwe" AND rank > 1 |
Write a SQL query that answers the following question: What is the total number of white (Hispanic/Non-Hispanic) having a black (Hispanic/Non-Hispanic) of 9.9 and Hispanic under 99.5? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_77 (white__both_hispanic_and_non_hispanic_ VARCHAR, black__both_hispanic_and_non_hispanic_ VARCHAR, hispanic__of_any_race_ VARCHAR) | SELECT COUNT(white__both_hispanic_and_non_hispanic_) FROM table_name_77 WHERE black__both_hispanic_and_non_hispanic_ = 9.9 AND hispanic__of_any_race_ < 99.5 |
Write a SQL query that answers the following question: What is the average black value (Hispanic/Non-Hispanic) having a white (Hispanic/Non-Hispanic) under 61.9, Multiracial (Hispanic/Non-Hispanic) under 12.5 and Hispanic under 99.4? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_99 (black__both_hispanic_and_non_hispanic_ INTEGER, hispanic__of_any_race_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR, multiracial__both_hispanic_and_non_hispanic_ VARCHAR) | SELECT AVG(black__both_hispanic_and_non_hispanic_) FROM table_name_99 WHERE white__both_hispanic_and_non_hispanic_ < 61.9 AND multiracial__both_hispanic_and_non_hispanic_ < 12.5 AND hispanic__of_any_race_ < 99.4 |
Write a SQL query that answers the following question: What is the highest Amerindian (Hispanic/Non-Hispanic) value having a Black (Hispanic/Non-Hispanic) of 15.7 and White (Hispanic/Non-Hispanic) over 69.5? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_67 (amerindian__both_hispanic_and_non_hispanic_ INTEGER, black__both_hispanic_and_non_hispanic_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR) | SELECT MAX(amerindian__both_hispanic_and_non_hispanic_) FROM table_name_67 WHERE black__both_hispanic_and_non_hispanic_ = 15.7 AND white__both_hispanic_and_non_hispanic_ > 69.5 |
Write a SQL query that answers the following question: What is the Black (Hispanic/Non-Hispanic) value having a white (Hispanic/Non-Hispanic) under 80.6, Asian (Hispanic/Non-Hispanic) of 0.1, Amerindian (Hispanic/Non-Hispanic) under 0.6000000000000001, and municipality of Vega Baja? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_63 (black__both_hispanic_and_non_hispanic_ VARCHAR, municipality__2010_ VARCHAR, amerindian__both_hispanic_and_non_hispanic_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR, n_asia__both_hispanic_and_non_hispanic_ VARCHAR) | SELECT black__both_hispanic_and_non_hispanic_ FROM table_name_63 WHERE white__both_hispanic_and_non_hispanic_ < 80.6 AND n_asia__both_hispanic_and_non_hispanic_ = 0.1 AND amerindian__both_hispanic_and_non_hispanic_ < 0.6000000000000001 AND municipality__2010_ = "vega baja" |
Write a SQL query that answers the following question: What season had 3rd position, a 36 pld, and a bbl div? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_81 (season VARCHAR, div VARCHAR, pos VARCHAR, pld VARCHAR) | SELECT season FROM table_name_81 WHERE pos = "3rd" AND pld = "36" AND div = "bbl" |
Write a SQL query that answers the following question: What season has 36 pld, a bbl div, and 6th position? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_87 (season VARCHAR, pos VARCHAR, pld VARCHAR, div VARCHAR) | SELECT season FROM table_name_87 WHERE pld = "36" AND div = "bbl" AND pos = "6th" |
Write a SQL query that answers the following question: What season had 6th position and 36 points? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_40 (season VARCHAR, pos VARCHAR, pts VARCHAR) | SELECT season FROM table_name_40 WHERE pos = "6th" AND pts = "36" |
Write a SQL query that answers the following question: What season had 1st position, 33 pld, and 58 points? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_21 (season VARCHAR, pts VARCHAR, pos VARCHAR, pld VARCHAR) | SELECT season FROM table_name_21 WHERE pos = "1st" AND pld = "33" AND pts = "58" |
Write a SQL query that answers the following question: Which School has a Mascot of generals? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_21 (school VARCHAR, mascot VARCHAR) | SELECT school FROM table_name_21 WHERE mascot = "generals" |
Write a SQL query that answers the following question: Which School has an IHSAA Class of aaa, and a Mascot of saints? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_76 (school VARCHAR, ihsaa_class VARCHAR, mascot VARCHAR) | SELECT school FROM table_name_76 WHERE ihsaa_class = "aaa" AND mascot = "saints" |
Write a SQL query that answers the following question: What is the highest enrollment in Lagrange where the mascot is panthers? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_48 (enrollment INTEGER, location VARCHAR, mascot VARCHAR) | SELECT MAX(enrollment) FROM table_name_48 WHERE location = "lagrange" AND mascot = "panthers" |
Write a SQL query that answers the following question: What is the enrollment at the school of Hamilton community? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_3 (enrollment INTEGER, school VARCHAR) | SELECT AVG(enrollment) FROM table_name_3 WHERE school = "hamilton community" |
Write a SQL query that answers the following question: What school that has a IHSAA Class of AA, in Butler? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_62 (school VARCHAR, ihsaa_class VARCHAR, location VARCHAR) | SELECT school FROM table_name_62 WHERE ihsaa_class = "aa" AND location = "butler" |
Write a SQL query that answers the following question: What is the mascot at Hamilton Community? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_62 (mascot VARCHAR, school VARCHAR) | SELECT mascot FROM table_name_62 WHERE school = "hamilton community" |
Write a SQL query that answers the following question: What school is in Lagrange, with an IHSAA Class of aaa? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_80 (school VARCHAR, location VARCHAR, ihsaa_class VARCHAR) | SELECT school FROM table_name_80 WHERE location = "lagrange" AND ihsaa_class = "aaa" |
Write a SQL query that answers the following question: What school is in Ligonier? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_11 (school VARCHAR, location VARCHAR) | SELECT school FROM table_name_11 WHERE location = "ligonier" |
Write a SQL query that answers the following question: What is the total in 2000–2012, with more than 2 silver, 0 Bronze, and a Rank smaller than 70? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_71 (total INTEGER, rank VARCHAR, bronze VARCHAR, years VARCHAR, silver VARCHAR) | SELECT SUM(total) FROM table_name_71 WHERE years = "2000–2012" AND silver > 2 AND bronze = 0 AND rank < 70 |
Write a SQL query that answers the following question: What nation scored 7 in shooting in 1920? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_39 (nation VARCHAR, years VARCHAR, sport VARCHAR, total VARCHAR) | SELECT nation FROM table_name_39 WHERE sport = "shooting" AND total = 7 AND years = "1920" |
Write a SQL query that answers the following question: What's the average Round of Pete Laframboise? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_59 (round INTEGER, player VARCHAR) | SELECT AVG(round) FROM table_name_59 WHERE player = "pete laframboise" |
Write a SQL query that answers the following question: What country is Pick 100? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_97 (nationality VARCHAR, pick VARCHAR) | SELECT nationality FROM table_name_97 WHERE pick = 100 |
Write a SQL query that answers the following question: Who were the rowers for Great britain? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_50 (rowers VARCHAR, country VARCHAR) | SELECT rowers FROM table_name_50 WHERE country = "great britain" |
Write a SQL query that answers the following question: What country has a time of 7:28.66 and a rank less than 3? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_27 (country VARCHAR, rank VARCHAR, time VARCHAR) | SELECT country FROM table_name_27 WHERE rank < 3 AND time = "7:28.66" |
Write a SQL query that answers the following question: What are the notes when the time was 7:42.92 and the rank is more than 1? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_65 (notes VARCHAR, rank VARCHAR, time VARCHAR) | SELECT notes FROM table_name_65 WHERE rank > 1 AND time = "7:42.92" |
Write a SQL query that answers the following question: What's the score of Tie number 11? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_48 (score VARCHAR, tie_no VARCHAR) | SELECT score FROM table_name_48 WHERE tie_no = "11" |
Write a SQL query that answers the following question: What's the tie number when the away team was Mansfield Town? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_3 (tie_no VARCHAR, away_team VARCHAR) | SELECT tie_no FROM table_name_3 WHERE away_team = "mansfield town" |
Write a SQL query that answers the following question: What date was Newcastle United the away team? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_42 (date VARCHAR, away_team VARCHAR) | SELECT date FROM table_name_42 WHERE away_team = "newcastle united" |
Write a SQL query that answers the following question: Who was the away team when Brighton & Hove Albion was home? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_95 (away_team VARCHAR, home_team VARCHAR) | SELECT away_team FROM table_name_95 WHERE home_team = "brighton & hove albion" |
Write a SQL query that answers the following question: What's the tie number of Chelsea when they were home? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_96 (tie_no VARCHAR, home_team VARCHAR) | SELECT tie_no FROM table_name_96 WHERE home_team = "chelsea" |
Write a SQL query that answers the following question: What's the score when Orient was home? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_10 (score VARCHAR, home_team VARCHAR) | SELECT score FROM table_name_10 WHERE home_team = "orient" |
Write a SQL query that answers the following question: What designer has a restaurant named The Citizen? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_42 (designer VARCHAR, restaurant_name VARCHAR) | SELECT designer FROM table_name_42 WHERE restaurant_name = "the citizen" |
Write a SQL query that answers the following question: What is the original name of the place by designer Glen Peloso with a Location of n/a? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_4 (original_name VARCHAR, designer VARCHAR, location VARCHAR) | SELECT original_name FROM table_name_4 WHERE designer = "glen peloso" AND location = "n/a" |
Write a SQL query that answers the following question: What chef that has a location in Toronto, ON, that has n/a as the original name, and a Restaurant Name of Bagel World? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_6 (chef VARCHAR, restaurant_name VARCHAR, location VARCHAR, original_name VARCHAR) | SELECT chef FROM table_name_6 WHERE location = "toronto, on" AND original_name = "n/a" AND restaurant_name = "bagel world" |
Write a SQL query that answers the following question: What is the name of the restaurant originally named Essence? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_93 (restaurant_name VARCHAR, original_name VARCHAR) | SELECT restaurant_name FROM table_name_93 WHERE original_name = "essence" |
Write a SQL query that answers the following question: What designer has a restaurant named of Cork & Cabbage? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_53 (designer VARCHAR, restaurant_name VARCHAR) | SELECT designer FROM table_name_53 WHERE restaurant_name = "cork & cabbage" |
Write a SQL query that answers the following question: Which athlete had a six month suspension from IIHF? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_55 (athlete VARCHAR, punishment VARCHAR) | SELECT athlete FROM table_name_55 WHERE punishment = "six month suspension from iihf" |
Write a SQL query that answers the following question: How many bronze medals did the team have with 0 total silver and less than 3 total medals? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_4 (bronze VARCHAR, total VARCHAR, silver VARCHAR) | SELECT bronze FROM table_name_4 WHERE total < 3 AND silver > 0 |
Write a SQL query that answers the following question: What is the total number of bronze medals for the team with more than 4 silver and less than 30 gold medals? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_41 (bronze VARCHAR, gold VARCHAR, silver VARCHAR, nation VARCHAR) | SELECT COUNT(bronze) FROM table_name_41 WHERE silver > 4 AND nation = "total" AND gold < 30 |
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