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: Which Award is the winner for Outstanding Revival of a Musical given? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_57 (award VARCHAR, category VARCHAR) | SELECT award FROM table_name_57 WHERE category = "outstanding revival of a musical" |
Write a SQL query that answers the following question: Who is the home team in the game where South Melbourne was the away team? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_20 (home_team VARCHAR, away_team VARCHAR) | SELECT home_team AS score FROM table_name_20 WHERE away_team = "south melbourne" |
Write a SQL query that answers the following question: I want the result for week larger than 10 for opponent of new england patriots | The relevant table was constructed using the following SQL : CREATE TABLE table_name_90 (result VARCHAR, week VARCHAR, opponent VARCHAR) | SELECT result FROM table_name_90 WHERE week > 10 AND opponent = "new england patriots" |
Write a SQL query that answers the following question: I want the game site for week of 11 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (game_site VARCHAR, week VARCHAR) | SELECT game_site FROM table_name_17 WHERE week = 11 |
Write a SQL query that answers the following question: What is the average number of laps for mika salo's arrows car with a grid over 13? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_6 (laps INTEGER, grid VARCHAR, constructor VARCHAR, driver VARCHAR) | SELECT AVG(laps) FROM table_name_6 WHERE constructor = "arrows" AND driver = "mika salo" AND grid > 13 |
Write a SQL query that answers the following question: Who drove the car with a grid of 7? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_38 (driver VARCHAR, grid VARCHAR) | SELECT driver FROM table_name_38 WHERE grid = 7 |
Write a SQL query that answers the following question: Which Report is Dated 9 March? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_72 (report VARCHAR, date VARCHAR) | SELECT report FROM table_name_72 WHERE date = "9 march" |
Write a SQL query that answers the following question: When Hamilton Academical is the Opponent, what is the total Attendance? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_26 (attendance VARCHAR, opponent VARCHAR) | SELECT COUNT(attendance) FROM table_name_26 WHERE opponent = "hamilton academical" |
Write a SQL query that answers the following question: How many in attendance with a loss of volquez (1β4)? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_57 (attendance VARCHAR, loss VARCHAR) | SELECT attendance FROM table_name_57 WHERE loss = "volquez (1β4)" |
Write a SQL query that answers the following question: What record has a Score of 9β6? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_15 (record VARCHAR, score VARCHAR) | SELECT record FROM table_name_15 WHERE score = "9β6" |
Write a SQL query that answers the following question: What is the average number in attendance on September 16? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_23 (attendance INTEGER, date VARCHAR) | SELECT AVG(attendance) FROM table_name_23 WHERE date = "september 16" |
Write a SQL query that answers the following question: What is the sum of people in attendance on September 8? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_49 (attendance INTEGER, date VARCHAR) | SELECT SUM(attendance) FROM table_name_49 WHERE date = "september 8" |
Write a SQL query that answers the following question: What was Head Coach Jim Morris's best finish? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_25 (cws_best_finish VARCHAR, head_coach VARCHAR) | SELECT cws_best_finish FROM table_name_25 WHERE head_coach = "jim morris" |
Write a SQL query that answers the following question: What is the record when the visiting team was the montreal canadiens? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_45 (record VARCHAR, visitor VARCHAR) | SELECT record FROM table_name_45 WHERE visitor = "montreal canadiens" |
Write a SQL query that answers the following question: What nation has 187.84 points? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_83 (nation VARCHAR, points VARCHAR) | SELECT nation FROM table_name_83 WHERE points = 187.84 |
Write a SQL query that answers the following question: What is the low point total for teams with 81 places? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_90 (points INTEGER, places VARCHAR) | SELECT MIN(points) FROM table_name_90 WHERE places = "81" |
Write a SQL query that answers the following question: What is the station number of the station at Dogsthorpe? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_40 (station_number VARCHAR, location VARCHAR) | SELECT station_number FROM table_name_40 WHERE location = "dogsthorpe" |
Write a SQL query that answers the following question: What is the type of the station with a 1 wrl appliance in Linton? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_92 (type VARCHAR, appliances VARCHAR, location VARCHAR) | SELECT type FROM table_name_92 WHERE appliances = "1 wrl" AND location = "linton" |
Write a SQL query that answers the following question: What is the appliance at the station in St Neots? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_69 (appliances VARCHAR, location VARCHAR) | SELECT appliances FROM table_name_69 WHERE location = "st neots" |
Write a SQL query that answers the following question: What is the registration of the station at Cambridge? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_67 (registrations VARCHAR, district VARCHAR) | SELECT registrations FROM table_name_67 WHERE district = "cambridge" |
Write a SQL query that answers the following question: What is the location of the station at Huntingdonshire with a station number of c17? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_85 (location VARCHAR, district VARCHAR, station_number VARCHAR) | SELECT location FROM table_name_85 WHERE district = "huntingdonshire" AND station_number = "c17" |
Write a SQL query that answers the following question: What is the registration of the station with a retained type and a station number of c03? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_27 (registrations VARCHAR, type VARCHAR, station_number VARCHAR) | SELECT registrations FROM table_name_27 WHERE type = "retained" AND station_number = "c03" |
Write a SQL query that answers the following question: Name the nationality of the player with round more than 4 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_46 (nationality VARCHAR, round INTEGER) | SELECT nationality FROM table_name_46 WHERE round > 4 |
Write a SQL query that answers the following question: In what Year was the Rank 14.0 14? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_42 (year INTEGER, rank VARCHAR) | SELECT SUM(year) FROM table_name_42 WHERE rank = "14.0 14" |
Write a SQL query that answers the following question: After 1971, what is the Rank with a Height ft (m) of 19.0 477 (145) and less than 35 Floors? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_90 (rank VARCHAR, height_ft__m_ VARCHAR, year VARCHAR, floors VARCHAR) | SELECT rank FROM table_name_90 WHERE year > 1971 AND floors < 35 AND height_ft__m_ = "19.0 477 (145)" |
Write a SQL query that answers the following question: What Year has a Rank of 12.0 12? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_52 (year INTEGER, rank VARCHAR) | SELECT AVG(year) FROM table_name_52 WHERE rank = "12.0 12" |
Write a SQL query that answers the following question: What did the away team score at VFL Park? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_76 (away_team VARCHAR, venue VARCHAR) | SELECT away_team AS score FROM table_name_76 WHERE venue = "vfl park" |
Write a SQL query that answers the following question: How many people watched the game at Lake Oval? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_1 (crowd INTEGER, venue VARCHAR) | SELECT SUM(crowd) FROM table_name_1 WHERE venue = "lake oval" |
Write a SQL query that answers the following question: What was the Comp average, having Gino Guidugli as a player and a rating of more than 92.2? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_3 (comp INTEGER, player VARCHAR, rating VARCHAR) | SELECT AVG(comp) FROM table_name_3 WHERE player = "gino guidugli" AND rating > 92.2 |
Write a SQL query that answers the following question: For the player with yards less than 138, and Comp more than 0, what was the highest Att.? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_9 (att INTEGER, yards VARCHAR, comp VARCHAR) | SELECT MAX(att) FROM table_name_9 WHERE yards < 138 AND comp > 0 |
Write a SQL query that answers the following question: How many laps for grid of 9? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_49 (laps VARCHAR, grid VARCHAR) | SELECT laps FROM table_name_49 WHERE grid = 9 |
Write a SQL query that answers the following question: What is the high lap total for a grid less than 6, and a Time/Retired of halfshaft? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_68 (laps INTEGER, grid VARCHAR, time_retired VARCHAR) | SELECT MAX(laps) FROM table_name_68 WHERE grid < 6 AND time_retired = "halfshaft" |
Write a SQL query that answers the following question: What is the Set 1 with a Score with 3β2? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_96 (set_1 VARCHAR, score VARCHAR) | SELECT set_1 FROM table_name_96 WHERE score = "3β2" |
Write a SQL query that answers the following question: What is the Set 1 with a Set 2 of 15β5, and a Set 3 with 15β3? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_6 (set_1 VARCHAR, set_2 VARCHAR, set_3 VARCHAR) | SELECT set_1 FROM table_name_6 WHERE set_2 = "15β5" AND set_3 = "15β3" |
Write a SQL query that answers the following question: What is the Date with a Set 1 with 15β1? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_79 (date VARCHAR, set_1 VARCHAR) | SELECT date FROM table_name_79 WHERE set_1 = "15β1" |
Write a SQL query that answers the following question: What is the Set 3 with a Date of 04 oct, and a Set 2 with 15β5? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_33 (set_3 VARCHAR, date VARCHAR, set_2 VARCHAR) | SELECT set_3 FROM table_name_33 WHERE date = "04 oct" AND set_2 = "15β5" |
Write a SQL query that answers the following question: What is the Set 3 with a Set 2 with 15β6? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_58 (set_3 VARCHAR, set_2 VARCHAR) | SELECT set_3 FROM table_name_58 WHERE set_2 = "15β6" |
Write a SQL query that answers the following question: What is the Set 2 with a Total of 45β12, and a Set 3 with 15β2? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_6 (set_2 VARCHAR, total VARCHAR, set_3 VARCHAR) | SELECT set_2 FROM table_name_6 WHERE total = "45β12" AND set_3 = "15β2" |
Write a SQL query that answers the following question: What was the grid associated with under 26 laps and a Time/Retired of +6.077? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_5 (grid INTEGER, time_retired VARCHAR, laps VARCHAR) | SELECT AVG(grid) FROM table_name_5 WHERE time_retired = "+6.077" AND laps < 26 |
Write a SQL query that answers the following question: On 5 May 2011, what was the lead percentage? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_61 (lead VARCHAR, date_s__conducted VARCHAR) | SELECT lead FROM table_name_61 WHERE date_s__conducted = "5 may 2011" |
Write a SQL query that answers the following question: On what date was the lead 8.6%? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_25 (date_s__conducted VARCHAR, lead VARCHAR) | SELECT date_s__conducted FROM table_name_25 WHERE lead = "8.6%" |
Write a SQL query that answers the following question: what is the lifespan when the imperial height is 7ft 8 in and the nationality is fiji? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_56 (lifespan VARCHAR, imperial VARCHAR, nationality VARCHAR) | SELECT lifespan FROM table_name_56 WHERE imperial = "7ft 8 in" AND nationality = "fiji" |
Write a SQL query that answers the following question: what is the nationality with the metric height of 2.36m named sun ming-ming? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_21 (nationality VARCHAR, metric VARCHAR, name VARCHAR) | SELECT nationality FROM table_name_21 WHERE metric = "2.36m" AND name = "sun ming-ming" |
Write a SQL query that answers the following question: What is the grid total that had a retired for engine, teo fabi driving, and under 39 laps? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_83 (grid INTEGER, laps VARCHAR, time_retired VARCHAR, driver VARCHAR) | SELECT SUM(grid) FROM table_name_83 WHERE time_retired = "engine" AND driver = "teo fabi" AND laps < 39 |
Write a SQL query that answers the following question: What is the average grid for johnny dumfries with less than 8 laps? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_26 (grid INTEGER, driver VARCHAR, laps VARCHAR) | SELECT AVG(grid) FROM table_name_26 WHERE driver = "johnny dumfries" AND laps < 8 |
Write a SQL query that answers the following question: What is the low lap total for minardi - motori moderni, and a Grid smaller than 18? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_44 (laps INTEGER, constructor VARCHAR, grid VARCHAR) | SELECT MIN(laps) FROM table_name_44 WHERE constructor = "minardi - motori moderni" AND grid < 18 |
Write a SQL query that answers the following question: What constructor has a 12 grid? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_61 (constructor VARCHAR, grid VARCHAR) | SELECT constructor FROM table_name_61 WHERE grid = 12 |
Write a SQL query that answers the following question: What is the average where the swimsuit is larger than 9.437? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_24 (average INTEGER, swimsuit INTEGER) | SELECT MAX(average) FROM table_name_24 WHERE swimsuit > 9.437 |
Write a SQL query that answers the following question: What is the evening gown score where the interview score is 9.22 and the preliminaries are larger than 9.057? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_84 (evening_gown INTEGER, interview VARCHAR, preliminaries VARCHAR) | SELECT SUM(evening_gown) FROM table_name_84 WHERE interview = 9.22 AND preliminaries > 9.057 |
Write a SQL query that answers the following question: What is Pennsylvania's average where the swimsuit is smaller than 9.109 and the evening gown is smaller than 9.163? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_88 (average INTEGER, evening_gown VARCHAR, swimsuit VARCHAR, country VARCHAR) | SELECT AVG(average) FROM table_name_88 WHERE swimsuit < 9.109 AND country = "pennsylvania" AND evening_gown < 9.163 |
Write a SQL query that answers the following question: What is the preliminaries score where the swimsuit is smaller than 9.297, the evening gown is 9.617, and the interview is larger than 9.143? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_65 (preliminaries INTEGER, interview VARCHAR, swimsuit VARCHAR, evening_gown VARCHAR) | SELECT AVG(preliminaries) FROM table_name_65 WHERE swimsuit < 9.297 AND evening_gown = 9.617 AND interview > 9.143 |
Write a SQL query that answers the following question: For Amazon.com's device with a weight of 221g (7.8oz) how many screen pixels does the device have? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_66 (screen_pixels VARCHAR, maker VARCHAR, weight VARCHAR) | SELECT screen_pixels FROM table_name_66 WHERE maker = "amazon.com" AND weight = "221g (7.8oz)" |
Write a SQL query that answers the following question: How many 5K wins did Emily Chebet, who had more than 2 total, have? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_14 (runner VARCHAR, total VARCHAR) | SELECT SUM(5 AS k_wins) FROM table_name_14 WHERE runner = "emily chebet" AND total > 2 |
Write a SQL query that answers the following question: How many 5K wins did Emily Chebet, who had more than 2 total, have? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_80 (runner VARCHAR, total VARCHAR) | SELECT COUNT(5 AS k_wins) FROM table_name_80 WHERE runner = "emily chebet" AND total > 2 |
Write a SQL query that answers the following question: What is the largest number of Peak lessons taught when the Evaluation average (Before April 2009) was 4.4? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_95 (peak_lessons_taught INTEGER, evaluation_average__before_april_2009_ VARCHAR) | SELECT MAX(peak_lessons_taught) FROM table_name_95 WHERE evaluation_average__before_april_2009_ = "4.4" |
Write a SQL query that answers the following question: What is the mean Evaluation number (before April 2009) when the Peak lessons taught was less than 80 and the negative percentage of evaluations was 0.8%? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_23 (evaluation_average__before_april_2009_ VARCHAR, peak_lessons_taught VARCHAR, _percentage_of_negative_evaluations VARCHAR) | SELECT evaluation_average__before_april_2009_ FROM table_name_23 WHERE peak_lessons_taught < 80 AND _percentage_of_negative_evaluations = "0.8%" |
Write a SQL query that answers the following question: What is the mean Evaluation number (Before April 2009) when the percentage of negative evaluations was 0.8% and the mean Evaluation number of April 2009 was 4.2? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_41 (evaluation_average__before_april_2009_ VARCHAR, _percentage_of_negative_evaluations VARCHAR, evaluation_average__from_april_2009_ VARCHAR) | SELECT evaluation_average__before_april_2009_ FROM table_name_41 WHERE _percentage_of_negative_evaluations = "0.8%" AND evaluation_average__from_april_2009_ = "4.2" |
Write a SQL query that answers the following question: What is moorabbin oval's away team? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_11 (away_team VARCHAR, venue VARCHAR) | SELECT away_team FROM table_name_11 WHERE venue = "moorabbin oval" |
Write a SQL query that answers the following question: What is Karl Wendlinger's total grid #? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_57 (grid VARCHAR, driver VARCHAR) | SELECT COUNT(grid) FROM table_name_57 WHERE driver = "karl wendlinger" |
Write a SQL query that answers the following question: Which Home team score had a Home team of Fitzroy? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_13 (home_team VARCHAR) | SELECT home_team AS score FROM table_name_13 WHERE home_team = "fitzroy" |
Write a SQL query that answers the following question: Who was replaced by Lieve Wierinck? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_18 (name VARCHAR, replacement VARCHAR) | SELECT name FROM table_name_18 WHERE replacement = "lieve wierinck" |
Write a SQL query that answers the following question: Name the sum of gross tonnage for wood on date more tahn 1846 for comissioned and ship of esk | The relevant table was constructed using the following SQL : CREATE TABLE table_name_75 (gross_tonnage INTEGER, ship VARCHAR, material VARCHAR, date_commissioned VARCHAR) | SELECT SUM(gross_tonnage) FROM table_name_75 WHERE material = "wood" AND date_commissioned > 1846 AND ship = "esk" |
Write a SQL query that answers the following question: Tell me the sum of Gross Tonnage for isis ship on date commisioned less than 1842 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_94 (gross_tonnage INTEGER, ship VARCHAR, date_commissioned VARCHAR) | SELECT SUM(gross_tonnage) FROM table_name_94 WHERE ship = "isis" AND date_commissioned < 1842 |
Write a SQL query that answers the following question: Tell me the lowest date commissioned for iron rmsrhone and gross tonnage less than 2,738 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_69 (date_commissioned INTEGER, gross_tonnage VARCHAR, material VARCHAR, ship VARCHAR) | SELECT MIN(date_commissioned) FROM table_name_69 WHERE material = "iron" AND ship = "rmsrhone" AND gross_tonnage < 2 OFFSET 738 |
Write a SQL query that answers the following question: What Constructor has a +1.027 Time/Retired? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_21 (constructor VARCHAR, time_retired VARCHAR) | SELECT constructor FROM table_name_21 WHERE time_retired = "+1.027" |
Write a SQL query that answers the following question: What Constructor has 56 Laps? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_13 (constructor VARCHAR, laps VARCHAR) | SELECT constructor FROM table_name_13 WHERE laps = 56 |
Write a SQL query that answers the following question: What Driver has 28 Laps and a Grid greater than 5? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_91 (driver VARCHAR, grid VARCHAR, laps VARCHAR) | SELECT driver FROM table_name_91 WHERE grid > 5 AND laps = 28 |
Write a SQL query that answers the following question: What is the highest Laps with a Time/Retired Wheel? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_80 (laps INTEGER, time_retired VARCHAR) | SELECT MAX(laps) FROM table_name_80 WHERE time_retired = "wheel" |
Write a SQL query that answers the following question: What Driver has a +1.027 Time/Retired? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_86 (driver VARCHAR, time_retired VARCHAR) | SELECT driver FROM table_name_86 WHERE time_retired = "+1.027" |
Write a SQL query that answers the following question: What game has a score of 44-20? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_78 (result VARCHAR, score VARCHAR) | SELECT result FROM table_name_78 WHERE score = "44-20" |
Write a SQL query that answers the following question: What date was a game played at Headingley Stadium? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_67 (date VARCHAR, venue VARCHAR) | SELECT date FROM table_name_67 WHERE venue = "headingley stadium" |
Write a SQL query that answers the following question: What competition was played at Shay Stadium? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_84 (competition VARCHAR, venue VARCHAR) | SELECT competition FROM table_name_84 WHERE venue = "shay stadium" |
Write a SQL query that answers the following question: Which show had a part 3 before 2011? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_45 (show VARCHAR, year VARCHAR, episode_title VARCHAR) | SELECT show FROM table_name_45 WHERE year < 2011 AND episode_title = "part 3" |
Write a SQL query that answers the following question: What are the male Bounder books? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_23 (books VARCHAR, gender VARCHAR, animal_name VARCHAR) | SELECT books FROM table_name_23 WHERE gender = "male" AND animal_name = "bounder" |
Write a SQL query that answers the following question: How many people attended on April 12? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_75 (attendance VARCHAR, date VARCHAR) | SELECT COUNT(attendance) FROM table_name_75 WHERE date = "april 12" |
Write a SQL query that answers the following question: On what date were 5 built with 4-4-2t wheels? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_10 (date VARCHAR, no_built VARCHAR, wheels VARCHAR) | SELECT date FROM table_name_10 WHERE no_built = 5 AND wheels = "4-4-2t" |
Write a SQL query that answers the following question: On what date was the number of locomotives 421-6? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_70 (date VARCHAR, loco_nos VARCHAR) | SELECT date FROM table_name_70 WHERE loco_nos = "421-6" |
Write a SQL query that answers the following question: How many were built with a locomotive number of 11-20? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_17 (no_built VARCHAR, loco_nos VARCHAR) | SELECT no_built FROM table_name_17 WHERE loco_nos = "11-20" |
Write a SQL query that answers the following question: On what date were more than 5 built with 4-4-2 wheels? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_38 (date VARCHAR, wheels VARCHAR, no_built VARCHAR) | SELECT date FROM table_name_38 WHERE wheels = "4-4-2" AND no_built > 5 |
Write a SQL query that answers the following question: On what date were less than 10 built with a locomotive number of 31-35? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_48 (date VARCHAR, no_built VARCHAR, loco_nos VARCHAR) | SELECT date FROM table_name_48 WHERE no_built < 10 AND loco_nos = "31-35" |
Write a SQL query that answers the following question: How many spectators watched when the away team was Collingwood? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_8 (crowd VARCHAR, away_team VARCHAR) | SELECT crowd FROM table_name_8 WHERE away_team = "collingwood" |
Write a SQL query that answers the following question: What did Essendon score when they were the away team? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_37 (away_team VARCHAR) | SELECT away_team AS score FROM table_name_37 WHERE away_team = "essendon" |
Write a SQL query that answers the following question: Who was the home team at Brunswick Street Oval? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_65 (home_team VARCHAR, venue VARCHAR) | SELECT home_team FROM table_name_65 WHERE venue = "brunswick street oval" |
Write a SQL query that answers the following question: What was South Melbourne's away team score? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_7 (away_team VARCHAR) | SELECT away_team AS score FROM table_name_7 WHERE away_team = "south melbourne" |
Write a SQL query that answers the following question: Who was the away team at Brunswick Street Oval? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_89 (away_team VARCHAR, venue VARCHAR) | SELECT away_team AS score FROM table_name_89 WHERE venue = "brunswick street oval" |
Write a SQL query that answers the following question: Tell me the lowest height for class of hewitt and prom less than 148 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_37 (height__m_ INTEGER, class VARCHAR, prom__m_ VARCHAR) | SELECT MIN(height__m_) FROM table_name_37 WHERE class = "hewitt" AND prom__m_ < 148 |
Write a SQL query that answers the following question: Tell me the total number of prom for height less than 615 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_59 (prom__m_ VARCHAR, height__m_ INTEGER) | SELECT COUNT(prom__m_) FROM table_name_59 WHERE height__m_ < 615 |
Write a SQL query that answers the following question: I want to know the peak which is prom less than 147 and height less than 619 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_10 (peak VARCHAR, prom__m_ VARCHAR, height__m_ VARCHAR) | SELECT peak FROM table_name_10 WHERE prom__m_ < 147 AND height__m_ < 619 |
Write a SQL query that answers the following question: Tell me the peak for prom being less than 147 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_26 (peak VARCHAR, prom__m_ INTEGER) | SELECT peak FROM table_name_26 WHERE prom__m_ < 147 |
Write a SQL query that answers the following question: Tell me the lowest prom for class of hewitt and peak of cushat law and height more than 615 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_62 (prom__m_ INTEGER, height__m_ VARCHAR, class VARCHAR, peak VARCHAR) | SELECT MIN(prom__m_) FROM table_name_62 WHERE class = "hewitt" AND peak = "cushat law" AND height__m_ > 615 |
Write a SQL query that answers the following question: Name the peak for height more than 619 and class of hewitt with prom being 148 | The relevant table was constructed using the following SQL : CREATE TABLE table_name_14 (peak VARCHAR, prom__m_ VARCHAR, height__m_ VARCHAR, class VARCHAR) | SELECT peak FROM table_name_14 WHERE height__m_ > 619 AND class = "hewitt" AND prom__m_ = 148 |
Write a SQL query that answers the following question: What is the percentage democrats with 2/4 democrat/republican? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_57 (percentage_democrats VARCHAR, democratic__republican VARCHAR) | SELECT percentage_democrats FROM table_name_57 WHERE democratic__republican = "2/4" |
Write a SQL query that answers the following question: What is the percentage democrats with democratic plurality of -3, and 2/5 democrat/republican? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_45 (percentage_democrats VARCHAR, democratic_seat_plurality VARCHAR, democratic__republican VARCHAR) | SELECT percentage_democrats FROM table_name_45 WHERE democratic_seat_plurality = "-3" AND democratic__republican = "2/5" |
Write a SQL query that answers the following question: What is the percent of republicans with 7/6 democrat/republican? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_62 (percentage_republicans VARCHAR, democratic__republican VARCHAR) | SELECT percentage_republicans FROM table_name_62 WHERE democratic__republican = "7/6" |
Write a SQL query that answers the following question: What is the democratic seat plurality with 29% democrat? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_94 (democratic_seat_plurality VARCHAR, percentage_democrats VARCHAR) | SELECT democratic_seat_plurality FROM table_name_94 WHERE percentage_democrats = "29%" |
Write a SQL query that answers the following question: What is the democratic seat plurality with partisan order of New Hampshire? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_91 (democratic_seat_plurality VARCHAR, state_ranked_in_partisan_order VARCHAR) | SELECT democratic_seat_plurality FROM table_name_91 WHERE state_ranked_in_partisan_order = "new hampshire" |
Write a SQL query that answers the following question: What is the score of the game with Pacers as the Visitor? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_32 (score VARCHAR, visitor VARCHAR) | SELECT score FROM table_name_32 WHERE visitor = "pacers" |
Write a SQL query that answers the following question: Who was Home on December 5, 2007? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_11 (home VARCHAR, date VARCHAR) | SELECT home FROM table_name_11 WHERE date = "december 5, 2007" |
Write a SQL query that answers the following question: What is the Japanese orthography for the abbreviation of ndmc? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_39 (japanese_orthography VARCHAR, abbreviation VARCHAR) | SELECT japanese_orthography FROM table_name_39 WHERE abbreviation = "ndmc" |
Write a SQL query that answers the following question: What is the english name of the ministry of defense with an abbreviation of nda bΕei-dai(ι²θ‘倧)? | The relevant table was constructed using the following SQL : CREATE TABLE table_name_31 (english_name VARCHAR, provider_national_government_ VARCHAR, abbreviation VARCHAR) | SELECT english_name FROM table_name_31 WHERE provider_national_government_ = "ministry of defense" AND abbreviation = "nda bΕei-dai(ι²θ‘倧)" |
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