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| "label": "dq3p", |
| "model": "runs/export/dq3", |
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| "backend": "transformers", |
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| "predictions": [ |
| "SELECT country, AVG(investment) FROM climate_finance WHERE region = 'South America' AND year = 2021 GROUP BY country;", |
| "SELECT \"Away team\" FROM table_2_10808089_3 WHERE \"Home team\" = 'hawthorn'", |
| "SELECT COUNT(*) FROM cars_data WHERE \"MPG\" > '6'", |
| "SELECT COUNT(*) FROM wells WHERE category = 'offshore' AND production_quantity > 1500;", |
| "SELECT model_number FROM news_readership WHERE order_part_number = 'TMDML44BKX5LD'", |
| "SELECT \"poker_player\" FROM news_readership WHERE country = 'India' UNION SELECT \"poker_player\" FROM news_readership WHERE country = 'Argentina'", |
| "SELECT country, SUM(incidents) FROM Ingredient_Sourcing WHERE country IN ('USA', 'Canada', 'Mexico') GROUP BY country;", |
| "SELECT \"Result\" FROM table_1_15778392_1 WHERE \"Original artist\" = 'Betty Everett'", |
| "SELECT treatment_type_description FROM treatment_types WHERE cost_of_treatment = (SELECT MIN(cost_of_treatment) FROM treatment_types);", |
| "SELECT country, SUM(quantity) FROM TextileSourcing WHERE material IN ('Silk', 'Wool') GROUP BY country;", |
| "SELECT MIN(\"GDP (PPP) per capita\") FROM table_1_25869317_1 WHERE \"Country\" = 'Argentina';", |
| "SELECT DISTINCT p.first_name, p.last_name FROM treatment_types p WHERE p.cost_of_treatment < (SELECT AVG(cost_of_treatment) FROM treatment_types);", |
| "SELECT region, COUNT(DISTINCT donor_name) FROM donations GROUP BY region;", |
| "SELECT \"2012\" FROM table_2_11870943_7 WHERE \"2011\" = '1r' AND \"2007\" = 'A' AND \"2010\" = '1r' AND \"2009\" = 'A'", |
| "SELECT SUM(SURFACE AREA) FROM country WHERE `Continent` = 'Asia' OR `Continent` = 'Europe';", |
| "SELECT branch, SUM(personnel_count) FROM MilitaryPersonnel WHERE branch = 'United States' GROUP BY branch;", |
| "SELECT \"Game 3\" FROM table_1_27039190_3 WHERE \"Viewers\" = 'Under 2.61m'", |
| "SELECT \"name\", COUNT(\"concert_ID\") FROM \"singer_in_concert\" WHERE \"concert_ID\" IN (SELECT \"concert_ID\" FROM \"concert\" WHERE \"concert_Name\" = 'Alloa Athletic') GROUP BY \"name\"", |
| "SELECT MAX(ResilienceScore) FROM Infrastructure WHERE Location = 'Texas';", |
| "SELECT COUNT(\"Competition\") FROM table_1_25735_1 WHERE \"Nations\" = 'Cook Island League'", |
| "SELECT COUNT(DISTINCT \"player_id\") FROM \"players\";", |
| "SELECT SUM(quantity) FROM seafood_exports WHERE exporter_country = 'Canada' AND importer_country = 'USA' AND year = 2021;", |
| "SELECT \"Theatre name\" FROM table_1_2461720_1 WHERE \"Language of films\" = 'French'", |
| "SELECT pet_age, pet_weight FROM pets WHERE age > 1;", |
| "SELECT name FROM VirtualTours WHERE country = 'Canada' AND price > 20.0;", |
| "SELECT \"Points\" FROM table_2_15696410_1 WHERE \"Performer\" = 'nigel connell'", |
| "SELECT grade, SUM(CASE WHEN student_id IN (1510, 1689, 1709, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 1782, 178", |
| "SELECT program_id, COUNT(DISTINCT org_id) FROM community_orgs WHERE program_id IN (SELECT program_id FROM community_orgs WHERE org_name LIKE 'Restorative Justice%') GROUP BY program_id;", |
| "SELECT college FROM table_2_11677760_6 WHERE \"Player\" = 'delray brooks'", |
| "SELECT SUM(population), MAX(gnp) FROM population WHERE country = 'Asia'", |
| "SELECT COUNT(DISTINCT location) FROM supply WHERE element = 'Dysprosium' AND year = 2018 AND location IN ('Mine A', 'Mine B', 'Mine C');", |
| "SELECT opponent FROM news_readership WHERE country = 'India' AND \"Record\" = '1-3'", |
| "SELECT student_id, SUM(readership) FROM news_readership WHERE country = 'India' GROUP BY student_id ORDER BY SUM(readership) DESC LIMIT 1;", |
| "SELECT ProjectName FROM Projects WHERE Domain = 'Technology for Social Good' AND LeaderCommunity = 'Historically Underrepresented Community 2' AND ProjectID IN (SELECT ProjectID FROM Projects WHERE Domain = 'Technology for Social Good' AND LeaderCommunity = 'Historically Underrepresented Community 2');", |
| "SELECT SUM(\"Weight (kg)\") FROM livestock WHERE \"Country\" = 'Virginia' AND \"Birthplace\" = 'Minnesota'", |
| "SELECT name, country, age FROM (SELECT name, country, age FROM (SELECT name, country, age FROM livestock WHERE country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina') AND country IN ('India', 'Argentina", |
| "SELECT sector, MAX(esg_score) FROM companies WHERE sector = 'Education' AND quarter = 3 AND year = 2020;", |
| "SELECT \"To par\" FROM table_2_18133211_6 WHERE \"Country\" = 'argentina'", |
| "SELECT player_id, first_name, country_code FROM players WHERE player_id IN (SELECT player_id FROM matches WHERE match_num = 1 ORDER BY player_id ASC LIMIT 1);", |
| "SELECT grade_id, AVG(mental_health_score) AS average_score FROM student_mental_health WHERE grade_id IN (1, 2, 3) GROUP BY grade_id ORDER BY average_score DESC;", |
| "SELECT \"Date\" FROM table_2_12410929_75 WHERE \"Result\" = 'draw' AND \"Venue\" = 'antigua recreation ground'", |
| "SELECT \"Conductor_ID\", \"Name\", \"Record_Company\", \"Number_of_Ortras\" FROM \"orchestra\" WHERE \"Conductor_ID\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9)", |
| "SELECT SUM(severity) FROM vulnerabilities WHERE department = 'HR' AND severity = 'critical';", |
| "SELECT \"Nation\" FROM table_2_17841851_1 WHERE \"Silver\" < '16' AND \"Bronze\" > '6' AND \"Gold\" = '2'", |
| "SELECT DISTINCT Template_Details FROM Documents;", |
| "SELECT fish_species.name, fish_species.family FROM fish_species WHERE fish_species.region = 'South America';", |
| "SELECT \"Season\" FROM table_2_16450028_1 WHERE \"Third\" = 'shawn rojeski'", |
| "SELECT conductor.name, orchestra.name FROM conductor INNER JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id WHERE conductor.name LIKE 'Antal' INTERSECT SELECT conductor.name, orchestra.name FROM conductor INNER JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id WHERE conductor.name LIKE 'Paul' INTERSECT SELECT conductor.name, orchestra.name FROM conductor INNER JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id WHERE conductor.name LIKE 'Colin' INTERSECT SELECT conductor.name, orchestra.name FROM conductor INNER JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id WHERE conductor.name LIKE 'Colin' INTERSECT SELECT conductor.name, orchestra.name FROM conductor INNER JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id WHERE conductor.name LIKE 'Colin'", |
| "SELECT SUM(Quantity) FROM HempSales WHERE Material = 'Hemp' AND SupplierName NOT IN ('GreenFabrics');", |
| "SELECT \"Career SR\" FROM table_2_1060790_5 WHERE \"1956\u20131968\" = 'A' AND \"1948\" = 'A' AND \"1949\" = 'A' AND \"1951\" = 'A' AND \"1954\" = 'A' AND \"Career SR\" = 'F' AND \"1969\" = 'A'", |
| "SELECT series_name, rating FROM (SELECT series_name, rating FROM (SELECT series_name, rating FROM `TV_series` WHERE `Rating` > 4.0 ORDER BY `Rating` DESC LIMIT 3) AS `tv_series`) AS `tv_series` WHERE `tv_series` IS NOT NULL LIMIT 3", |
| "SELECT transport, SUM(co2_emission) FROM transportation WHERE region = 'Oceania' GROUP BY transport;", |
| "SELECT \"Part number(s)\" FROM table_2_18823880_4 WHERE \"Release date\" = 'january 2011' AND \"Frequency\" = '3.4 ghz' AND \"Release price ( USD )\" = '$317'", |
| "SELECT Template_Details FROM Templates WHERE Template_Type_Code = 'PPT';", |
| "SELECT Metric_Name, Metric_Value FROM HealthEquityMetrics WHERE Region = 'rural';", |
| "SELECT \"Player\" FROM table_1_1965650_7 WHERE \"NHL team\" = 'Detroit Red Wings'", |
| "SELECT Document_ID, Document_Name, Document_Description FROM Documents;", |
| "SELECT Recipient, SUM(Amount) as TotalDonations FROM Donations GROUP BY Recipient ORDER BY TotalDonations DESC LIMIT 3;", |
| "SELECT \"Location Attendance\" FROM table_2_11960407_7 WHERE \"Record\" = '40\u201340'", |
| "SELECT AVG(LifeExpectancy) FROM life_expectancy WHERE Language != 'English'", |
| "SELECT country, SUM(type) FROM asia_accommodations WHERE country IN ('Japan', 'Thailand', 'Indonesia', 'Malaysia', 'Vietnam') GROUP BY country HAVING SUM(type) = (SELECT SUM(type) FROM asia_accommodations WHERE country IN ('Japan', 'Thailand', 'Indonesia', 'Malaysia', 'Vietnam') AND country IN ('Japan', 'Thailand', 'Indonesia', 'Malaysia', 'Vietnam') GROUP BY country)", |
| "SELECT MAX(\"Two years\") FROM table_1_174266_6 WHERE \"Unknown\" > '1.0'", |
| "SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_enrolment_id IN (SELECT student_enrolment_id FROM Student_Enrolment", |
| "SELECT country, SUM(consumption) FROM water_consumption WHERE consumption IS NOT NULL AND country LIKE 'China%' OR country LIKE 'USA%' OR country LIKE 'Australia%' OR country LIKE 'India%' OR country LIKE 'Brazil%' UNION SELECT country, SUM(consumption) FROM water_consumption WHERE consumption IS NOT NULL AND country LIKE 'China%' OR country LIKE 'USA%' OR country LIKE 'Australia%' OR country LIKE 'India%' OR country LIKE 'Brazil%' OR country LIKE 'Australia' UNION SELECT country, SUM(consumption) FROM water_consumption WHERE consumption IS NOT NULL AND country LIKE 'China%' OR country LIKE 'USA%' OR country LIKE 'Australia%' OR country LIKE 'India%' OR country LIKE 'Brazil%' OR country LIKE 'Australia' UNION SELECT country, SUM(consumption) FROM water_consumption WHERE consumption IS NOT NULL AND country LIKE 'China%' OR country LIKE 'USA%' OR country LIKE 'Australia%' OR country LIKE 'India%' OR country LIKE 'Brazil%' OR country LIKE 'Australia'", |
| "SELECT \"Top 5\" FROM table_1_2190919_3 WHERE \"Winnings\" = '$250,667'", |
| "SELECT Template_ID FROM Templates GROUP BY Template_ID HAVING COUNT(DISTINCT Document_ID) > 1", |
| "SELECT SUM(CASE WHEN outcome = 'won' THEN 1 ELSE 0 END) FROM cases WHERE attorney = 'Rodriguez' AND state = 'Texas' AND date = '2020-01-01';", |
| "SELECT \"Tournament location\" FROM table_1_12243817_1 WHERE \"Champion\" = 'Vicky Hurst'", |
| "SELECT course_description FROM courses WHERE department_id = 2;", |
| "SELECT name, material FROM suppliers WHERE material = 'Recycled Polyester' ORDER BY material DESC LIMIT 3;", |
| "SELECT \"Away team score\" FROM table_2_10809823_15 WHERE \"Home team\" = 'fitzroy'", |
| "SELECT title FROM news_readership WHERE country = 'India' AND topic LIKE 'Cart'", |
| "SELECT city, state, AVG(income) FROM incomes JOIN cities ON incomes.city_id = cities.id WHERE cities.state = 'California' GROUP BY city, state;", |
| "SELECT \"Date\" FROM table_2_17282079_5 WHERE \"City\" = 'Panama City'", |
| "SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IN (SELECT \"Code\" FROM country WHERE \"Continent\" = 'Africa' UNION SELECT \"Code\" FROM country WHERE \"Continent\" = 'Asia')", |
| "SELECT city, SUM(consumption) FROM water_consumption WHERE year = 2020 GROUP BY city HAVING SUM(consumption) = (SELECT SUM(consumption) FROM water_consumption WHERE year = 2020) ORDER BY SUM(consumption) DESC LIMIT 3;", |
| "SELECT SUM(\"Points\") FROM table_2_12821570_2 WHERE \"Goals Scored\" < '20'", |
| "SELECT channel FROM news_readership WHERE topic = 'The Rise of the Blue Beetle!'", |
| "SELECT name, employees FROM department WHERE name = 'Mining';", |
| "SELECT \"Result\" FROM table_1_1341395_33 WHERE \"District\" = 'New York 6'", |
| "SELECT COUNT(DISTINCT id) FROM news_readership WHERE language = 'English';", |
| "SELECT MAX(Age) FROM Patients WHERE Disease = 'HIV' AND Country = 'Australia'", |
| "SELECT \"Spouse to\" FROM table_2_16997067_1 WHERE \"Born as\" = 'Rania al Yassin'", |
| "SELECT name FROM singer WHERE NOT EXISTS (SELECT * FROM song WHERE singer.name = song.name)", |
| "SELECT CountryName, SUM(CertificationCount) FROM EthicalAICertifications WHERE CertificationCount > 0 GROUP BY CountryName;", |
| "SELECT \"Score\" FROM table_2_14827502_6 WHERE \"Game\" = '43'", |
| "SELECT COUNT(DISTINCT \"winner_id\") FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" = 3)) INTERSECT (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" = 3))))", |
| "SELECT COUNT(*) FROM community_development_initiatives WHERE country = 'Brazil' AND completion_year BETWEEN 2015 AND 2019;", |
| "SELECT \"Nationality\" FROM table_2_11545282_5 WHERE \"Position\" = 'center' AND \"Player\" = 'mark eaton'", |
| "SELECT museum.Museum_ID, SUM(CASE WHEN museum.Museum_ID = 'India' THEN 1 ELSE 0 END) FROM museum WHERE museum.Museum_ID IN (SELECT museum.Museum_ID FROM museum WHERE museum.Museum_ID = 'India' AND museum.Open_year > '2010' GROUP BY museum.Museum_ID)", |
| "SELECT type, (SELECT SUM(accessibility FROM fleet WHERE type = 'Bus' AND accessibility = TRUE) * 100 / (SELECT COUNT(*) FROM fleet WHERE type = 'Bus' AND accessibility = TRUE) as percentage FROM fleet WHERE type = 'Bus' AND accessibility = TRUE;", |
| "SELECT \"Commissioned\" FROM table_1_1206583_2 WHERE \"Builder\" = 'Scotts, Greenock' AND \"Name\" = 'Chieftain'", |
| "SELECT Template_ID FROM Templates WHERE Template_Type_Code = 'PPT'", |
| "SELECT Donations.Country, SUM(Donations.Amount) FROM Donations JOIN Donors ON Donations.DonorID = Donors.DonorID GROUP BY Donations.Country HAVING COUNT(Donations.DonorID) = 1;", |
| "SELECT \"Placing\" FROM table_2_14988364_1 WHERE \"Team\" = 'judith wiesner and alex antonitsch'", |
| "SELECT LName FROM Student WHERE PetID = 2001 AND Sex = 'F' AND age = 3", |
| "SELECT SUM(CASE WHEN company.funding_round = 'Series B' THEN 1 ELSE 0 END) FROM founders INNER JOIN companies ON founders.company_id = companies.id WHERE companies.industry = 'Green Technology' AND company.ethnicity = 'BIPOC' AND company.funding_round >= 'Series B';", |
| "SELECT MIN(\"Score\") FROM table_2_18097219_4 WHERE \"Place\" = 't10' AND \"Country\" = 'ireland'", |
| "SELECT shop.Shop_ID, shop.Location, shop.District, shop.Number_products FROM shop WHERE shop.Location LIKE 'Helsinki%' ORDER BY shop.Number_products DESC;", |
| "SELECT product_name FROM nail_polishes WHERE natural AND sale_country = 'Germany' AND price < 10;", |
| "SELECT \"Player\" FROM table_2_16456989_3 WHERE \"Score\" = '68-67=135'", |
| "SELECT stadium.Name, stadium.Concerts, stadium.Average FROM stadium WHERE stadium.Concerts > 10000 AND stadium.Concerts < 1000000 AND stadium.Average > 1000000 AND stadium.Average < 10000000 AND stadium.Stadium_ID = 100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", |
| "SELECT country, COUNT(article_id) AS articles_published, ROUND(COUNT(article_id) * 100.0 / SUM(COUNT(article_id)) OVER (1), 2) AS percentage FROM articles WHERE category = 'politics' GROUP BY country;", |
| "SELECT \"EPA rated combined fuel economy\" FROM table_1_23840623_4 WHERE \"Vehicle\" = 'Nissan Leaf' AND \"EPA rated all-electric range\" = 'combined'", |
| "SELECT AVG(salat_date) FROM Transcripts", |
| "SELECT Name, AVG(DonationAmount) AS AverageDonation FROM Donors WHERE DonationAmount > 100.00 GROUP BY Name HAVING COUNT(DonorID) > 1;", |
| "SELECT \"Gold\" FROM table_2_18826631_4 WHERE \"Bronze\" = 'total' AND \"Rank\" = 'total'", |
| "SELECT DISTINCT people.Nationality FROM people GROUP BY people.Nationality HAVING COUNT(*) > 2;", |
| "SELECT PublicationTitle, PublicationID, PublicationTitle FROM Publications JOIN Faculty ON PublicationID = PublicationID WHERE ResearchInterest = 'Journal of Computer Science' AND FacultyID = 1;", |
| "SELECT party FROM table_1_1341522_38 WHERE opponent = 'Mike Oxley (R) unopposed'", |
| "SELECT student_enrolment_id, first_name, middle_name, last_name FROM Student_Enrolment WHERE student_enrolment_id IN (SELECT MIN(student_enrolment_id) FROM Student_Enrolment WHERE student_enrolment_id > 0 GROUP BY student_enrolment_id ORDER BY student_enrolment_id)", |
| "SELECT city, SUM(num_chargers) FROM ev_charging_stations WHERE year = 2020 OR year = 2021 GROUP BY city;", |
| "SELECT MAX(\"Urban Population (2010)\") FROM \"province\" WHERE \"Province\" = 'Guangxi'", |
| "SELECT country, COUNT(*) FROM \"TV_Channel\" WHERE \"Country\" = 'India' GROUP BY country HAVING COUNT(*) > 1", |
| "SELECT Name, AverageSpeed FROM Vessel WHERE AverageSpeed = (SELECT MAX(AverageSpeed) FROM Vessel);", |
| "SELECT club FROM table_2_18212767_1 WHERE \"Points for\" = '77'", |
| "SELECT AVG(Last_Name) as avg_age, AVG(Last_Name) as avg_last_year FROM (SELECT player_id, AVG(Last_Name) as Last_Name FROM matches WHERE match_num > 1000000 GROUP BY player_id) as last_year_players FROM players WHERE country_code = 'India' OR country_code = 'Argentina';", |
| "SELECT Plant.name, SUM(Waste.amount) FROM Plant INNER JOIN Waste ON Plant.id = Waste.plant_id WHERE Plant.name = 'Plant A' AND Waste.date >= '2020-01-01' AND Plant.name = 'Plant B' AND Waste.date <= '2020-01-02' GROUP BY Plant.name;", |
| "SELECT \"Score\" FROM table_2_18156085_4 WHERE \"To par\" = '-5' AND \"Player\" = 'Peter Jacobsen'", |
| "SELECT DISTINCT country FROM singer WHERE age > 20", |
| "SELECT SUM(donation_amount) FROM donations WHERE cause_id = 1;", |
| "SELECT \"Date\" FROM news_readership WHERE country = 'India' AND \"Week\" = '3'", |
| "SELECT dog_id FROM Dogs WHERE dog_id NOT IN (SELECT dog_id FROM Treatment_Types WHERE cost_of_treatment > 1000)", |
| "SELECT AVG(amount) FROM production WHERE country = 'Vietnam' AND year BETWEEN 2017 AND 2021;", |
| "SELECT \"Founded\" FROM table_1_28211213_1 WHERE \"Team Nickname\" = 'Spartans'", |
| "SELECT treatment_type_description FROM treatment_types WHERE cost_of_treatment = (SELECT MIN(cost_of_treatment) FROM treatment_types);", |
| "SELECT project_type, year, AVG(cost) FROM projects_pakistan_balochistan WHERE province = 'Balochistan' AND project_type = 'Roads' GROUP BY project_type, year;", |
| "SELECT \"Away team score\" FROM table_2_10773753_13 WHERE \"Venue\" = 'brunswick street oval'", |
| "SELECT citizenship, MAX(CASE WHEN citizenship = 'India' THEN net_worth_millions ELSE 0 END) as max_citizenship, MAX(CASE WHEN citizenship = 'Argentina' THEN net_worth_millions ELSE 0 END) as max_citizenship FROM singer WHERE country = 'India' OR country = 'Argentina' GROUP BY citizenship, max_citizenship HAVING max_citizenship = 0;", |
| "SELECT AVG(production_cost) FROM garments WHERE garment_name LIKE 'Recycled polyester%' AND factory_id IS NOT NULL;", |
| "SELECT COUNT(DISTINCT \"Network\") FROM news_readership WHERE \"Name\" = 'Celebrity MasterChef'", |
| "SELECT COUNT(DISTINCT \"airports\") FROM \"flights\";", |
| "SELECT COUNT(DISTINCT ID) FROM EmployeeEducation WHERE Department = 'Accessibility Services' AND Degree >= 'Master''s'", |
| "SELECT \"Crowd\" FROM table_2_10808681_6 WHERE \"Away team\" = 'south melbourne'", |
| "SELECT continent, COUNT(CarMakers) FROM \"continents\" WHERE \"Continent\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9) GROUP BY continent;", |
| "SELECT StateName, HospitalName, Capacity, Utilization FROM CapacityUtilization WHERE StateName IN ('Alabama', 'Alaska', 'Arizona') ORDER BY StateName, Utilization DESC;", |
| "SELECT \"Affiliation\" FROM table_1_20887670_1 WHERE \"Colors\" = 'Maroon and White'", |
| "SELECT conductor.name FROM conductor ORDER BY COUNT(year_of_work) DESC;", |
| "SELECT MIN(mpg) FROM vehicle_range WHERE make = 'Nissan' AND model = 'Leaf';", |
| "SELECT MAX(\"Opened in\") FROM table_2_1255817_4 WHERE \"Type\" = 'convoy ride' AND \"Type\" = ' convoy ride' AND \"Ride Name\" = 'tiny truckers'", |
| "SELECT gf, SUM(lp) FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp FROM (SELECT gf, AVG(lp) AS lp", |
| "SELECT AVG(Salary) FROM Employees WHERE Department = 'Engineering' AND Ethnicity = 'Latinx';", |
| "SELECT \"Pts.\" FROM table_2_10321815_1 WHERE \"Div.\" = 'glasgow rocks'", |
| "SELECT country, COUNT(CountryId) FROM \"car_makers\" WHERE \"MPG\" > '1' GROUP BY \"CountryId\" HAVING COUNT(CountryId) > 1", |
| "SELECT genre, SUM(frequency) FROM media_content WHERE genre IN ('News - Print', 'News - Online', 'News - TV') GROUP BY genre;", |
| "SELECT COUNT(DISTINCT \"Year\") FROM table_2_11222744_2 WHERE \"Catalog Number\" = '80429 / bta80429'", |
| "SELECT visitor_id, visitor_name, visitor_level FROM (SELECT visitor_id, visitor_name, visitor_level FROM (SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2000' UNION SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2010' UNION SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2012' UNION SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2013' UNION SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2014' UNION SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2015' UNION SELECT visitor_ID, visitor_name, visitor_level FROM `museum` WHERE `museum`->\"Num_of_Staff\" = 1 AND `open_year` = '2016' UNION SELECT visitor_ID,", |
| "SELECT industry, COUNT(*) FROM Company WHERE founding_year >= 2010 GROUP BY industry;", |
| "SELECT \"Attendance\" FROM table_2_10860384_2 WHERE \"Week\" = '12'", |
| "SELECT teacher.Name, course.Name FROM teacher JOIN course_arrange ON teacher.Name = course_arrange.Classify_Teacher_Name WHERE course_arrange.Classify_Teacher_Name IS NOT NULL ORDER BY teacher.Name ASC, course_arrange.Classify_Teacher_Name ASC;", |
| "SELECT v.name FROM Visitor v JOIN Visitor_Exhibition ve ON v.id = ve.visitor_id GROUP BY v.id, v.name HAVING COUNT(DISTINCT ve.exhibition_id) > 1;", |
| "SELECT \"Opponent\" FROM table_1_16864968_9 WHERE \"Location\" = 'Prudential Center'", |
| "SELECT Template_Type_Code, COUNT(*) FROM (SELECT Template_Type_Code, COUNT(*) FROM (SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PPT' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code, Document_ID, Document_Name, Document_Description, Other_Details FROM Documents WHERE Template_Type_Code = 'PDF' UNION SELECT Template_Type_Code", |
| "SELECT habitat, Efforts FROM PreservationTrends WHERE Year IN (2017, 2018) AND Efforts > 0 GROUP BY habitat;", |
| "SELECT \"Mac OS X\" FROM table_2_1163160_2 WHERE \"Windows\" = 'no' AND \"GNU/Linux\" = 'yes'", |
| "SELECT conductor.name FROM conductor ORDER BY conductor.age", |
| "SELECT DonorID, SUM(Amount) FROM Donations WHERE DonationDate >= '2020-01-01' AND DonationDate < '2020-02-01' GROUP BY DonorID HAVING COUNT(DISTINCT DonorID) = 3;", |
| "SELECT \"Away team\" FROM table_2_16388439_1 WHERE \"Crowd\" > '19,498'", |
| "SELECT COUNT(CASE WHEN \"Horsepower\" > '150' THEN 1 ELSE 0 END) FROM \"car_makers\" WHERE \"MPG\" > '15';", |
| "SELECT MIN(account_balance) FROM clients WHERE region = 'Northwest';", |
| "SELECT Exists FROM news_readership WHERE \"Director\" = 'ray jenkins'", |
| "SELECT COUNT(DISTINCT \"location\") FROM \"hiring\" WHERE \"shop\" IS NOT NULL;", |
| "SELECT COUNT(*) FROM IoTDevices WHERE region = 'Asia' AND active = TRUE;", |
| "SELECT MAX(\"Attendance\") FROM table_1_16661199_2 WHERE \"Giants points\" = '10'", |
| "SELECT department_description FROM departments WHERE department_name LIKE 'computer%'", |
| "SELECT provider_type, COUNT(provider_id) FROM providers GROUP BY provider_type;", |
| "SELECT \"Final Points\" FROM news_readership WHERE \"Total\" = '0' AND \"Draw\" = '22'", |
| "SELECT \"Orchestra_ID\", COUNT(\"Orchestra_ID\") FROM \"orchestra\" WHERE \"Record_Company\" IN ('Kirov', 'Kursus', 'Ruslan', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus', 'Kursus',", |
| "SELECT AVG(Score) FROM Players WHERE Country = 'USA';", |
| "SELECT \"Segment A\" FROM table_2_15187735_19 WHERE \"Segment D\" = 'manual motorcycle transmissions'", |
| "SELECT email_address FROM professionals WHERE state IN ('Hawaii', 'Wisconsin');", |
| "SELECT region, (SUM(CASE WHEN category = 'Education' THEN amount ELSE 0 END) / SUM(amount)) * 100 as education_percentage FROM humanitarian_aid WHERE region IN ('Africa', 'Asia') GROUP BY region;", |
| "SELECT \"Class\" FROM table_2_13655126_1 WHERE \"Race\" = 'charlotte camel gt 500'", |
| "SELECT `professional_id`, `last_name`, `cell_number` FROM `Professionals` WHERE `state` = 'Indiana' AND `treatment_type_code` IN (1, 2)", |
| "SELECT AVG(cost) FROM building_permits WHERE state = 'California' AND year = 2019;", |
| "SELECT \"Player\" FROM table_1_14342480_15 WHERE \"Touchdowns\" = '14'", |
| "SELECT name FROM singer WHERE citizenship != 'France'", |
| "SELECT AVG(revenue) FROM virtual_tours WHERE country = 'Spain';", |
| "SELECT \"Date\" FROM table_2_167446_1 WHERE \"Name\" = 'tirrana'", |
| "SELECT COUNT(DISTINCT Paragraphs.Paragraph_Text) FROM Paragraphs WHERE Paragraphs.Paragraph_Text LIKE 'p%';", |
| "SELECT AVG(rating) FROM kdramas WHERE release_year BETWEEN 2016 AND 2018;", |
| "SELECT \"Percent of Slovenes 1951\" FROM table_1_10797636_1 WHERE \"Village (Slovene)\" = 'Bach'", |
| "SELECT orca.0, orca.1, orca.2 FROM (SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 1 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 2 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 3 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 4 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 5 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 6 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 7 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 8 UNION ALL SELECT orca.0, orca.1, orca.2 FROM `orchestra` WHERE `Conductor_ID` = 9 UNION ALL SELECT orca.0, orca.1, orca.2", |
| "SELECT Region, SUM(Natural) FROM Ingredient_Sourcing WHERE Natural = TRUE GROUP BY Region;", |
| "SELECT \"Visiting Team\" FROM news_readership WHERE \"Final Score\" = '7-13'", |
| "SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (", |
| "SELECT Designer, (SUM(CASE WHEN Quantity > 0 THEN 1 ELSE 0 END) * 100.0 / SUM(CASE WHEN Quantity > 0 THEN Quantity ELSE 0 END)) as SalesPercentage FROM ClothingSales WHERE Designer IS NOT NULL;", |
| "SELECT \"Venue\" FROM table_2_10774891_2 WHERE \"Home team score\" = '9.22 (76)'", |
| "SELECT \"Region\", \"Language\" FROM \"countrylanguage\" WHERE \"Language\" IN ('English', 'Dutch')", |
| "SELECT MAX(balances.balance) FROM balances WHERE risk_level = 'high' AND region = 'Africa';", |
| "SELECT \"Team\" FROM table_2_13812785_9 WHERE \"Location Attendance\" = 'Air Canada Centre 19,800' AND \"Record\" = '41\u201333'", |
| "SELECT student_id, COUNT(*) FROM (SELECT student_id, likes.id FROM Highschooler INNER JOIN Likes ON Highschooler.student_id = Likes.student_id) AS subquery GROUP BY student_id;", |
| "SELECT AVG(age) FROM mental_health_professionals WHERE profession = 'Psychologist';", |
| "SELECT \"Result\" FROM table_1_1341577_10 WHERE \"First elected\" = '1980'", |
| "SELECT song.title, singer.name FROM news_readership INNER JOIN song ON news_readership.song_ID = song.Singer_ID;", |
| "SELECT city FROM Donors WHERE NOT id IN (SELECT donor_id FROM Programs WHERE program_name LIKE 'Disaster Relief');", |
| "SELECT \"Launch Date\" FROM news_readership WHERE \"Institutional authority\" = 'ndc' AND \"Launch Vehicle\" = 'hatf-xi'", |
| "SELECT language, COUNT(DISTINCT country) as country_count FROM (SELECT language, COUNT(DISTINCT country) as country_count FROM `country`) as country_count FROM `country` GROUP BY language;", |
| "SELECT MIN(PlayerLevel) FROM Players WHERE Game = 'CS:GO';", |
| "SELECT \"Away team\" FROM table_2_1059743_7 WHERE \"Home team\" = 'al-ain fc' AND \"Score\" = '1\u20131'", |
| "SELECT language, COUNT(*) FROM (SELECT language FROM `TV_Channel` WHERE country = 'India' UNION ALL SELECT language FROM `TV_Channel` WHERE country = 'Argentina' UNION ALL SELECT language FROM `TV_series` WHERE country = 'India' UNION ALL SELECT language FROM `TV_series` WHERE country = 'Argentina') AS `Languages` GROUP BY `Languages` ORDER BY `Languages`", |
| "SELECT species_name, avg_weight FROM Species WHERE region = 'Mediterranean' AND avg_weight > 15;", |
| "SELECT \"Fleet\" FROM table_2_1014206_1 WHERE \"Launched\" = 'July 30, 1961'", |
| "SELECT series_name FROM tv_series WHERE channel = 'Sky Radio'", |
| "SELECT AVG(co2_reduction) FROM co2_emission WHERE ev_model IN ('Tesla Model 3', 'Nissan Leaf', 'Chevrolet Bolt');", |
| "SELECT \"Champion(s)\" FROM table_1_1272033_1 WHERE \"Previous champion(s)\" = 'Xix Xavant'", |
| "SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender", |
| "SELECT region, SUM(sustainable) FROM accommodation WHERE sustainable = 1 GROUP BY region;", |
| "SELECT \"Venue\" FROM table_2_10790651_13 WHERE \"Away team\" = 'hawthorn'", |
| "SELECT country_code, COUNT(DISTINCT player_id) FROM players GROUP BY country_code;", |
| "SELECT SUM(billing_amount) FROM cases JOIN offices ON cases.office_id = offices.office_id WHERE offices.office_name = 'Boston';", |
| "SELECT \"Finish\" FROM table_2_1252070_1 WHERE \"Laps\" = '51'", |
| "SELECT player_id, SUM(r.points) AS rank_points FROM rankings WHERE country = 'India' GROUP BY player_id HAVING COUNT(DISTINCT r.rank) = 1 UNION SELECT player_id, SUM(r.points) AS rank_points FROM rankings WHERE country = 'Argentina' GROUP BY player_id HAVING COUNT(DISTINCT r.rank) = 1", |
| "SELECT COUNT(*) FROM Studio_Ghibli WHERE year BETWEEN 1985 AND 2010 AND title LIKE 'Movie%';", |
| "SELECT \"Commissioned\" FROM table_2_1228289_2 WHERE \"Project\" = '636.3' AND \"Status\" = 'ordered'", |
| "SELECT COUNT(DISTINCT \"countries\"::integer) FROM \"car_makers\" WHERE \"car_makers\" > 2", |
| "SELECT COUNT(*) FROM finance_projects WHERE start_date <= '2020-01-01' AND end_date >= '2020-12-31';", |
| "SELECT \"Category\" FROM table_1_28628309_9 WHERE \"Player\" = 'Olsen Racela'", |
| "SELECT COUNT(DISTINCT Template_ID) FROM Templates;", |
| "SELECT SUM(claim_amount) FROM claims WHERE policy_id = 1001;", |
| "SELECT opponent.score FROM news_readership AS news_readership ON news_readership.id = news_readership.outcome WHERE news_readership.outcome = 'Winner' AND news_readership.tournament = 'Clay' AND news_readershiproxion = 'Diego Junqueira Gabriel Trujillo-Soler'", |
| "SELECT pet_type, AVG(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(C", |
| "SELECT MIN(departure_time) as earliest_departure, MAX(departure_time) as latest_departure FROM train_schedule WHERE station_id = 1;", |
| "SELECT SUM(\"Laps\") FROM table_2_13719531_1 WHERE \"Time/Retired\" = '+19.475'", |
| "SELECT Template_Type_Code FROM Templates WHERE Template_Type_Code IN (SELECT Template_Type_Code FROM Ref_Template_Types)", |
| "SELECT MAX(quantity) FROM DELIVERY_record WHERE is_organic = true AND product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT product_id FROM product WHERE product_id = (SELECT", |
| "SELECT COUNT(\"Cytoplasm\") FROM table_1_13570_1 WHERE \"Specifically stains\" = 'Blue nucleus'", |
| "SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (SELECT model FROM (", |
| "SELECT AVG(budget) FROM ai_projects WHERE region = 'Latin America';", |
| "SELECT \"Venue\" FROM table_2_10747009_16 WHERE \"Away team\" = 'collingwood'", |
| "SELECT language FROM language WHERE country = 'Aruba'", |
| "SELECT COUNT(DISTINCT whale_species) FROM SouthernOcean;", |
| "SELECT \"Original air date\" FROM table_1_14035132_3 WHERE \"No. in series\" = '29a'", |
| "SELECT COUNT(DISTINCT teacher.Terms) FROM teacher WHERE teacher.Terms LIKE 'Teacher%'", |
| "SELECT SUM(amount) FROM rnd_budget_history WHERE fiscal_year BETWEEN '2019' AND '2022';", |
| "SELECT \"Date\" FROM news_readership WHERE \"Opponent\" = 'Cardinals' AND \"Save\" = 'Aguilera (5)'", |
| "SELECT property_type_description FROM `Properties` WHERE `property_type_code` IN ('House', 'Apartment', 'Other') AND `room_count` > 1", |
| "SELECT SUM(served_in) FROM patients_canada_uk WHERE healthcare_center IN ('Rural Canada', 'Rural UK') AND location NOT IN ('Urban Canada', 'Urban UK');", |
| "SELECT \"Date\" FROM table_2_10823950_8 WHERE \"Home team score\" = '21.18 (144)' AND \"Away team score\" = '16.19 (115)'", |
| "SELECT COUNT(DISTINCT PetID) FROM Pets WHERE PetType = 'cat' AND PetAge > 10", |
| "SELECT Mine_Name, CO2_Emissions FROM Emission_Statistics WHERE Year = 2020 AND Mine_Name IS NOT NULL ORDER BY CO2_Emissions DESC LIMIT 1;", |
| "SELECT COUNT(\"Established\") FROM table_1_16432543_3 WHERE \"Institution\" = 'University of Maryland'", |
| "SELECT DISTINCT m.maker FROM car_makers m WHERE m.year = 1970;", |
| "SELECT AVG(date_hired) FROM Employee WHERE industry = 'GreenTech';", |
| "SELECT \"Award\" FROM table_2_11308224_9 WHERE \"Result\" = 'won' AND \"Category\" = 'most popular star' AND \"Year\" = '2007'", |
| "SELECT COUNT(DISTINCT department_id) FROM departments;", |
| "SELECT AVG(rating) FROM hotels WHERE country = 'USA' AND ai_services = true;", |
| "SELECT \"Leading scorer\" FROM table_2_11961176_4 WHERE \"Home\" = 'grizzlies'", |
| "SELECT AVG(singer.age) as avg_age, MIN(singer.age) as min_age, MAX(singer.age) as max_age FROM singer WHERE country = 'France' GROUP BY country;", |
| "SELECT state, SUM(total_waste_recycled) FROM recycling_centers WHERE state = 'New York' GROUP BY state ORDER BY SUM(total_waste_recycled) DESC LIMIT 5;", |
| "SELECT \"Record\" FROM news_readership WHERE \"Event\" = '3000 m'", |
| "SELECT COUNT(DISTINCT \"degree_summary_name\") FROM \"Degree_Programs\" WHERE \"degree_summary_description\" LIKE 'name: %'", |
| "SELECT MAX(amount) FROM grants_faculty WHERE department = 'Arts and Humanities' AND faculty_name = 'Grace';", |
| "SELECT \"Score\" FROM table_1_24765815_1 WHERE \"Rank\" = '1st'", |
| "SELECT name FROM Highschooler WHERE NOT student_id IN (SELECT student_id FROM Friend)", |
| "SELECT country, AVG(refugees_helped) FROM disasters WHERE country IN ('Country A', 'Country B', 'Country C') GROUP BY country;", |
| "SELECT \"Home team score\" FROM table_2_10806852_14 WHERE \"Venue\" = 'junction oval'", |
| "SELECT package_option FROM news_readership WHERE series_name = 'Sky Radio'", |
| "SELECT MAX(budget) FROM Marvel_Movies;", |
| "SELECT \"DDM Class\" FROM table_1_1153898_1 WHERE \"Comparisons\" = 'wireless combo keyboard and mouse support'", |
| "SELECT manager_name, district FROM shop WHERE number_products = (SELECT MAX(number_products) FROM shop)", |
| "SELECT AVG(num_safety_incidents) FROM union_stats WHERE sector = 'services' AND num_members > 2000;", |
| "SELECT \"Average\" FROM table_1_28798161_3 WHERE \"Balls\" = '4/39'", |
| "SELECT continent, AVG(life_expectancy) as avg_life_expectancy, SUM(population) as total_population FROM population WHERE life_expectancy < 72 GROUP BY continent HAVING AVG(life_expectancy) < 72;", |
| "SELECT continent, COUNT(fan_id) FROM fan_demographics WHERE country = 'India' GROUP BY continent;", |
| "SELECT MIN(\"Year\") FROM table_1_1999350_1 WHERE \"Playoffs\" = 'Did not qualify' AND \"Regular Season\" = '2nd, New England' AND \"Open Canada Cup\" = 'N/A'", |
| "SELECT year, COUNT(*) FROM matches WHERE country IN ('India', 'Argentina') GROUP BY year;", |
| "SELECT MAX(distance) FROM Routes WHERE origin_city = 'City X';", |
| "SELECT \"Away team\" FROM table_2_10808346_11 WHERE \"Venue\" = 'punt road oval'", |
| "SELECT teacher.Hometown FROM teacher WHERE teacher.age = (SELECT MIN(Age) FROM teacher);", |
| "SELECT AVG(age) FROM patients WHERE improvement LIKE 'improved%';", |
| "SELECT SUM(\"Seats\") FROM table_2_11252_2 WHERE \"Share of votes\" = '21.8%';", |
| "SELECT song_name FROM news_readership WHERE country = 'India' AND readership = (SELECT AVG(reading) FROM news_readership WHERE country = 'India')", |
| "SELECT COUNT(*) FROM Restaurants WHERE type = 'Mexican' AND revenue > 8000.00;", |
| "SELECT \"Professional Partner\" FROM table_2_15988037_17 WHERE \"Season\" < '7' AND \"Average\" > '34.66' AND \"Celebrity\" = 'ma\u0142gorzata foremniak' AND \"Rank\" < '10'", |
| "SELECT teacher.name, course.interest FROM teacher JOIN course ON teacher.teacher_id = course.teacher_id WHERE teacher.name LIKE 'Joseph Huts'", |
| "SELECT SUM(participants) FROM Community_Development_Initiatives WHERE initiative_name LIKE 'Clean Water Access%' AND location LIKE 'Rural Africa';", |
| "SELECT \"Season\" FROM table_2_1708648_1 WHERE \"Lead\" = 'Michael Goodfellow'", |
| "SELECT continent, 'Continent' as name, COUNT(CountryId) as count FROM \"continents\" WHERE \"Continent\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9) GROUP BY continent, 'Continent'", |
| "SELECT name FROM destinations WHERE travel_advisory_level <= 3;", |
| "SELECT \"Points\" FROM table_2_11021760_1 WHERE \"Points\" = '18'", |
| "SELECT language, COUNT(*) FROM (SELECT language, COUNT(*) FROM `TV_Channel` WHERE country = 'India' UNION SELECT language, COUNT(*) FROM `TV_Channel` WHERE country = 'Argentina' UNION SELECT language, COUNT(*) FROM `TV_series` WHERE country = 'India' UNION SELECT language, COUNT(*) FROM `TV_series` WHERE country = 'Argentina') AS `channel` GROUP BY language;", |
| "SELECT Category, SUM(Price) FROM MenuItems WHERE Category IN ('Vegetarian', 'Non-Vegetarian') AND SupplierID IS NOT NULL GROUP BY Category;", |
| "SELECT \"Home team\" FROM table_2_1204658_14 WHERE \"Home team score\" = '6.17 (53)'", |
| "SELECT note FROM death WHERE \"result\" LIKE 'East%'", |
| "SELECT project_count FROM ngos WHERE country = 'Yemen' AND name LIKE 'NGO%';", |
| "SELECT COUNT(\"Unterfranken West\") FROM table_1_23224961_2 WHERE \"Oberfranken Ost\" = 'Wacker Marktredwitz'", |
| "SELECT COUNT(DISTINCT PetID) FROM Pets WHERE PetType = 'dog' AND Sex = 'F' AND Age > 10", |
| "SELECT MIN(revenue) FROM Restaurants WHERE type = 'Ethiopian' AND name LIKE 'Restaurant%'", |
| "SELECT \"Celebrity\" FROM table_2_14345690_7 WHERE \"Finished\" = '6th'", |
| "SELECT template_Type_Code FROM Ref_Template_Types GROUP BY template_Type_Code HAVING COUNT(*) < 3", |
| "SELECT country, quantity, year FROM erbium_production WHERE country = 'Brazil' AND year >= 2018;", |
| "SELECT \"Callsign\" FROM table_1_17822401_1 WHERE \"Location\" = 'Cebu'", |
| "SELECT AVG(rating_points) FROM (SELECT r.player_id, r ranking, AVG(r ranking_points) as avg_rank FROM rankings r JOIN matches m ON r ringer_id = m.literator_id WHERE r ringer_id = 1000000000 AND m.tourney_id = 1 AND r.missing_rank = 0 GROUP BY r ringer_id) AS avg_rank", |
| "SELECT city, SUM(sales) FROM Concerts WHERE city IN (SELECT concert_id FROM Concerts GROUP BY city) GROUP BY city;", |
| "SELECT \"Goals\" FROM news_readership WHERE country = 'India' AND \"Name\" = 'kenton' AND \"Transfer window\" = 'Summer'", |
| "SELECT Template_Type_Code FROM Templates WHERE Template_Type_Code NOT IN (SELECT Template_Type_Code FROM Ref_Template_Types)", |
| "SELECT COUNT(Well_ID) FROM Well_Status WHERE Status = 'Active';", |
| "SELECT \"1990\" FROM news_readership WHERE country = 'India' AND \"1989\" = 'A' AND \"1985\" = 'A' AND \"1993\" = 'A'", |
| "SELECT COUNT(DISTINCT `result`) FROM news_readership WHERE country = 'India'", |
| "SELECT name, years_of_experience FROM Farmers WHERE years_of_experience > 10;", |
| "SELECT \"Team\" FROM table_1_27734577_13 WHERE \"High assists\" = 'josh smith (8)'", |
| "SELECT DISTINCT `Conductor_ID` FROM `conductor` WHERE `Conductor_ID` NOT IN (SELECT `Conductor_ID` FROM `conductor` WHERE `Nationality` = 'USA')", |
| "SELECT COUNT(*) FROM renewable_energy WHERE type = 'Wind Turbine' AND country = 'Germany' AND installation_year = 2020;", |
| "SELECT \"Mon 24 Aug\" FROM news_readership WHERE \"Friday Aug 28\" = '26' 04.60 86.814mph'", |
| "SELECT student_enrolment_id, student_id, first_name, middle_name, last_name, cell_mobile_number, email_address, ssn, date_first_registered, date_left, other_student_details FROM Student_Enrolment WHERE student_enrolment_id = 1", |
| "SELECT location, num_beds FROM hospitals WHERE location LIKE 'Alaska%' AND num_beds > 100 GROUP BY location;", |
| "SELECT \"Share\" FROM news_readership WHERE \"Air Date\" = 'December 10, 2008'", |
| "SELECT DISTINCT `area_code`, `state`, `created` FROM `VOTES` WHERE `state` IN ('NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', 'ME', 'NY', 'CA', 'IL', '", |
| "SELECT country FROM military_alliances WHERE allied_country = 'United States';", |
| "SELECT \"Score\" FROM news_readership WHERE \"Attendance\" < '10,553'", |
| "SELECT COUNT(Friend.FriendID) FROM Friend WHERE Friend.FriendID = 1381;", |
| "SELECT destination_province, MAX(weight) FROM Packages WHERE warehouse_id = (SELECT id FROM Warehouses WHERE city = 'Mexico City') AND destination_province IS NOT NULL GROUP BY destination_province;", |
| "SELECT college FROM news_readership WHERE topic = 'college' AND readership = 196", |
| "SELECT id FROM tv_channel WHERE country IN (SELECT id FROM tv_channel GROUP BY country HAVING COUNT(*) > 2)", |
| "SELECT Department FROM Employees GROUP BY Department HAVING COUNT(*) > 1;", |
| "SELECT opponents FROM table_2_15167057_3 WHERE score = '6-3, 6-3' AND partner = 'pam shriver'", |
| "SELECT dog_id, age, weight FROM dogs WHERE abandoned_yn = 1", |
| "SELECT DISTINCT destination FROM vessel_destinations WHERE departure_date >= '2022-06-01' AND departure_date < '2022-06-17' AND arrival_date >= '2022-06-01' AND arrival_date < '2022-06-17' GROUP BY destination;", |
| "SELECT \"Player\" FROM table_2_16678064_9 WHERE \"Long\" > '28' AND \"Yards\" = '222'", |
| "SELECT name FROM singer WHERE net_worth_millions = (SELECT MAX(net_worth_millions) FROM singer WHERE net_worth_millions > 0)", |
| "SELECT MAX(ticket_sales) FROM EventData WHERE city = 'Tokyo';", |
| "SELECT \"Deadline for completion\" FROM table_1_12078626_1 WHERE \"Description\" = 'iPhone recall within the first 3 months of release'", |
| "SELECT id, title FROM \"TV_series\" WHERE `title` = 'Ben Jones' AND `country` = 'India';", |
| "SELECT COUNT(marine_species.name) FROM marine_species WHERE marine_species.region = 'Arctic' AND marine_species.conservation_status IN ('Endangered', 'Threatened');", |
| "SELECT MAX(\"Population (July 2009 est.)\") FROM table_1_26769_1 WHERE \"Capital\" = 'Quito'", |
| "SELECT COUNT(*) FROM matches WHERE (year = 2013 OR year = 2016)", |
| "SELECT Name, Type FROM Vessels WHERE AverageSpeed = (SELECT MAX(AverageSpeed) FROM Vessels WHERE Type = 'Passenger');", |
| "SELECT \"School/Club Team\" FROM table_1_10015132_16 WHERE \"Years in Toronto\" = '1995-96'", |
| "SELECT AVG(LifeExpectancy) FROM life_expectancy WHERE CountryCode IN ('AFG', 'AND', 'ANT', 'NLD', 'NVB', 'PAK', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI', 'PAI", |
| "SELECT type, SUM(cases) FROM cancer_data WHERE country = 'Australia' GROUP BY type ORDER BY SUM(cases) DESC LIMIT 1;", |
| "SELECT \"Points for\" FROM table_2_12828723_1 WHERE \"Points against\" = '255'", |
| "SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE student_id IN (SELECT student_id FROM `Students` WHERE", |
| "SELECT r1 rep_name FROM government_representatives r1 WHERE r1 rep_id NOT IN (SELECT r2 rep_id FROM government_representatives r2 WHERE r2 rep_id = r1 rep_id) ORDER BY r1 rep_id;", |
| "SELECT \"Tournament Venue (City)\" FROM table_1_22849575_6 WHERE \"Conference\" = 'Big Sky Conference'", |
| "SELECT channel FROM tv_series WHERE series_name = 'A Love of a Lifetime'", |
| "SELECT r.route_name, SUM(f.fare) FROM bus_routes r JOIN fares f ON r.route_id = f.route_id GROUP BY r.route_name;", |
| "SELECT \"Place\" FROM table_2_17290235_1 WHERE \"Score\" = '75-71-72-70=288'", |
| "SELECT player_id, MIN(ranking_points) as youngest_winner_rank FROM (SELECT player_id, MIN(ranking_points) as ranking_points FROM (SELECT player_id, MIN(ranking_points) as ranking_points FROM (SELECT player_id, MIN(ranking_points) as ranking_points FROM (SELECT player_id, MIN(ranking_points) as ranking_points FROM (SELECT player_id, MIN(ranking_points) as ranking_points FROM \"matches\" WHERE \"winner\" = 'Jolene' AND \"year\" = 2001) as match1) as match1) as match2) as match3) as match4) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches) as matches)", |
| "SELECT AVG(age) FROM (SELECT patients FROM psychologists WHERE country = 'Asia' AND patients > 0 AND patients <= 100) AS subquery;", |
| "SELECT \"Attendance\" FROM table_2_11172634_1 WHERE \"Date\" = 'november 18, 1951'", |
| "SELECT COUNT(*) FROM matches", |
| "SELECT individual_id, SUM(CASE WHEN event_year = 2021 THEN 1 ELSE 0 END) as event_attendance FROM event_attendance WHERE event_year = 2021 GROUP BY individual_id;", |
| "SELECT \"PA\" FROM table_1_29565541_2 WHERE \"W\" = '6'", |
| "SELECT `contestant_name` FROM `area_code_state` WHERE `area_code` = 201 AND `state` = 'CA' AND `contestant_name` LIKE 'Al%'", |
| "SELECT zip FROM zip_water_usage WHERE water_consumption > 6000 ORDER BY water_consumption DESC LIMIT 5;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Result\" = '16-0'", |
| "SELECT COUNT(Car_Makers) FROM cars_data WHERE Car_Makers > 4 AND CountryId = 3", |
| "SELECT Name, TotalDonations FROM Donors WHERE TotalDonations DESC LIMIT 3;", |
| "SELECT \"Meet\" FROM news_readership WHERE \"Club\" = 'centro de natacon carabobo'", |
| "SELECT name, surface_area FROM (SELECT name, surface_area FROM `country` WHERE `CountryCode` LIKE 'AFG%') AS sub WHERE `CountryCode` LIKE 'AFG%';", |
| "SELECT COUNT(*) FROM fairness_incidents WHERE incident_date >= '2022-08-15' AND incident_date < '2022-09-15' AND region = 'North America';", |
| "SELECT \"Week\" FROM table_2_11364413_1 WHERE \"Date\" = 'September 24, 2000'", |
| "SELECT AirportName FROM 'akos' WHERE AirportCode = 'AKO';", |
| "SELECT Country, SUM(IncidentType) FROM CybersecurityIncidents WHERE Year >= 2018 AND Country IN ('Egypt', 'Algeria', 'South Africa') GROUP BY Country;", |
| "SELECT \"Surface\" FROM table_2_16380141_1 WHERE \"Week\" = 'March 1'", |
| "SELECT `contestant_name` FROM `area_code_state` WHERE `area_code` = 202 AND `state` = 'CA' AND `contestant_name` != 'Jessie Alloway'", |
| "SELECT COUNT(*) FROM community_health_centers WHERE location = 'urban';", |
| "SELECT \"Episode count\" FROM table_2_16581695_7 WHERE \"DVD title\" = 'Ben 10: Alien Force Volume 8'", |
| "SELECT airline FROM 'flights' WHERE abbreviation = 'UAL'", |
| "SELECT SUM(CASE WHEN case_type = 'criminal' THEN 1 ELSE 0 END) FROM court_cases WHERE case_date = '2021-01-01' AND agency = 'Supreme Court' AND fiscal_year = 2021;", |
| "SELECT \"D 44 \u221a\" FROM table_2_1177501_2 WHERE \"D 46 \u221a\" = 'r 26'", |
| "SELECT COUNT(DISTINCT \"CountryCode\") FROM `country` WHERE `CountryCode` = 'AFG'", |
| "SELECT StateSponsor, SUM(CASE WHEN Topic = 'Immigration Reform' THEN 1 ELSE 0 END) AS TotalPetitions FROM Petition WHERE StateSponsor IN ('California', 'Texas') AND Topic = 'Immigration Reform' GROUP BY StateSponsor;", |
| "SELECT \"Home team\" FROM table_2_15625088_3 WHERE \"Tie no\" = '6'", |
| "SELECT pet_id FROM pets WHERE pet_age = 18 AND pet_lname = 'Smith'", |
| "SELECT Position, AVG(Salary) FROM Employees WHERE Department = 'IT' GROUP BY Position;", |
| "SELECT \"Method\" FROM news_readership WHERE country = 'India' AND \"Record\" = '3-4'", |
| "SELECT \"Content\" FROM \"TV_series\" WHERE \"series_name\" = 'Sky Radio'", |
| "SELECT type, SUM(CASE WHEN region = 'Southeast' THEN 1 ELSE 0 END) AS bridges, SUM(CASE WHEN region = 'Southeast' THEN 2 ELSE 0 END) AS tunnels FROM BridgeTunnel WHERE type IN ('Bridge', 'Tunnel') GROUP BY type;", |
| "SELECT \"Name\" FROM table_2_18517754_1 WHERE \"Reserved for ( SC / ST /None)\" = 'sc' AND \"Constituency number\" = '196' AND \"Name\" = 'Dhar'", |
| "SELECT language FROM countrylanguage WHERE head_of_state = 'Beatrix'", |
| "SELECT article_language, COUNT(article_language) as article_count FROM articles GROUP BY article_language;", |
| "SELECT \"2013\" FROM table_2_1596425_2 WHERE \"Position\" = 'President' AND \"2014\" = 'Danielle Button'", |
| "SELECT COUNT(DISTINCT \"Model\") FROM \"car_makers\" WHERE \"Maker\" = 'American Motor Company'", |
| "SELECT Type, Area FROM Crimes WHERE Area IN ('Urban', 'Rural') GROUP BY Type, Area;", |
| "SELECT \"Score\" FROM news_readership WHERE \"Date\" = 'January 11'", |
| "SELECT teacher.Hometown FROM teacher WHERE teacher.Name = 'John Deloor'", |
| "SELECT country, SUM(amount) FROM rd_expenditure WHERE country IN ('US', 'DE', 'JP') GROUP BY country HAVING SUM(amount) = (SELECT SUM(amount) FROM rd_expenditure WHERE country IN ('US', 'DE', 'JP') AND country_code = 'US' AND country_code = 'DE' AND country_code = 'JP');", |
| "SELECT \"Willow Canyon\" FROM table_1_11340432_1 WHERE \" information\" = 'willow canyon'", |
| "SELECT student_enrolment.courses.course_name, student_enrolment.courses.student_enrolment_id, MIN(student_enrolment.courses.student_enrolment_id) as earliest_grad, MAX(student_enrolment.courses.student_enrolment_id) as latest_grad FROM `Students` JOIN `Transcript_Contents` ON `students`.id = `Transcript_Contents`.student_enrolment_id WHERE `students`.country = 'India' AND `Transcript_Contents`.student_enrolment_id = 1 GROUP BY `students`.id, `course_name`, `middle_name`, `last_name` HAVING MIN(`student_enrolment.courses.student_enrolment_id) = 1;", |
| "SELECT Sustainable, Country FROM Textile_Sources WHERE Sustainable = true AND Quantity > 1000 ORDER BY Sustainable, Country;", |
| "SELECT COUNT(DISTINCT \"Conference\") FROM table_2_10722146_6 WHERE \"Conference\" = 'Atlantic 10' AND \"Elite Eight\" = '1'", |
| "SELECT \"math\" FROM \"Courses\" WHERE \"course_name\" = 'math'", |
| "SELECT organization_id, SUM(amount) FROM donations WHERE state = 'California' GROUP BY organization_id;", |
| "SELECT \"Home team\" FROM table_2_10774891_5 WHERE \"Away team score\" = '9.14 (68)'", |
| "SELECT continent, COUNT(Country) FROM \"car_makers\" WHERE \"Country\" IN (SELECT \"Continent\" FROM \"car_makers\") GROUP BY \"Continent\"", |
| "SELECT MAX(budget) FROM DisabilitySupportPrograms WHERE region = 'East Coast';", |
| "SELECT \"Weight (kg/m)\" FROM table_1_2071644_2 WHERE \"Cross section area (cm 2 )\" = '25.3'", |
| "SELECT stadium.Stadium_ID FROM stadium WHERE stadium.Stadium_ID NOT IN (SELECT stadium.Stadium_ID FROM concert)", |
| "SELECT MAX(altitude) FROM leo_satellites WHERE type = 'Communication';", |
| "SELECT \"Team\" FROM table_1_27312918_5 WHERE \"Game\" = '4'", |
| "SELECT COUNT(DISTINCT \"CountryCode\") FROM country WHERE \"CountryCode\" = 'AR' OR \"CountryCode\" = 'AM' OR \"CountryCode\" = 'AN' OR \"CountryCode\" = 'AS' OR \"CountryCode\" = 'AT' OR \"CountryCode\" = 'AU' OR \"CountryCode\" = 'AZ' OR \"CountryCode\" = 'BA' OR \"CountryCode\" = 'BE' OR \"CountryCode\" = 'BF' OR \"CountryCode\" = 'BG' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"CountryCode\" = 'HR' OR \"Country", |
| "SELECT life_expectancy.year, life_expectancyExpectancy FROM life_expectancy WHERE life_expectancy.country = 'Japan' AND life_expectancy.year = 2019;", |
| "SELECT SUM(\"Sales\") FROM table_2_12937449_3 WHERE \"Year\" < '1991'", |
| "SELECT name FROM (SELECT student_id, COUNT(DISTINCT friend_id) AS friends FROM Highschooler WHERE country = 'India' GROUP BY student_id ORDER BY friends DESC) AS top_highschoolers", |
| "SELECT title, SUM(streams) FROM songs WHERE genre = 'Hip-Hop' AND year = 2021 GROUP BY title ORDER BY SUM(streams) DESC LIMIT 3;", |
| "SELECT COUNT(\"Draw\") FROM table_2_15696410_1 WHERE \"Performer\" = 'gary o''shaknessy'", |
| "SELECT country FROM news_readership WHERE topic LIKE 'cartoon%' AND author = 'Todd Casey'", |
| "SELECT COUNT(DISTINCT facility_id) FROM healthcare_facilities WHERE country IN ('Mexico', 'Brazil') AND has_pharmacy = TRUE;", |
| "SELECT \"Title\" FROM news_readership WHERE country = 'USA' AND \"Airdate (USA)\" = '20 May 2005'", |
| "SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (SELECT student_id FROM (", |
| "SELECT name FROM founder WHERE gender = 'Female' AND funding IN ('Series A', 'Series B', 'Series C');", |
| "SELECT \"WC Matches\" FROM news_readership WHERE country = 'India' AND matches = '79'", |
| "SELECT COUNT(DISTINCT `dog_id`) FROM `Dogs` WHERE `treatment_type_code` = 'WALK'", |
| "SELECT DISTINCT acquired_by, female_founder FROM acquisition WHERE acquired_by = 'Google' AND female_founder = true;", |
| "SELECT \"Vacator\" FROM table_1_2417390_4 WHERE \"District\" = 'Nebraska At-large'", |
| "SELECT model FROM model_list WHERE country = 'india' ORDER BY SUM(Cars_Data.MPG) DESC LIMIT 1", |
| "SELECT strategy FROM cybersecurity_strategies WHERE location = 'India';", |
| "SELECT \"Stadium\" FROM table_2_10637415_10 WHERE \"City\" = 'penrith'", |
| "SELECT charge_type, SUM(CASE WHEN charge_amount > 10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", |
| "SELECT AVG(avg_temp) FROM marinefinfish WHERE country = 'Norway' AND month = 6;", |
| "SELECT MAX(\"Position\") FROM table_1_21795650_1 WHERE \"Races\" = '16'", |
| "SELECT grade FROM Highschooler WHERE name = 'Kyle';", |
| "SELECT SUM(CASE WHEN Initiative = 'Community_Garden' THEN 1 ELSE 0 END) FROM Urban_Agriculture WHERE State IN ('California', 'New_York') AND Year = 2019;", |
| "SELECT \"Away team\" FROM table_2_10767641_17 WHERE \"Home team\" = 'collingwood'", |
| "SELECT name FROM Highschooler WHERE friends > 3", |
| "SELECT artifact_type, COUNT(*) FROM artifacts WHERE region = 'Eastern Region' GROUP BY artifact_type ORDER BY COUNT(*) DESC LIMIT 3;", |
| "SELECT \"Name\" FROM table_2_17200019_3 WHERE \"Moving to\" = 'summer' AND \"Moving to\" = 'kortrijk' AND \"Country\" = 'belgium'", |
| "SELECT MAX(s.share) as max_share, MIN(s.share) as min_share FROM `performance` s WHERE `type` != 'Live final'", |
| "SELECT MIN(price) FROM Devices WHERE community IN ('Minority', 'Women', 'Non-Profit');", |
| "SELECT \"Years Active\" FROM table_1_272865_20 WHERE \"Asian Cup Played As A Captain\" = 'Iran 1976'", |
| "SELECT COUNT(DISTINCT friend_id) FROM Highschooler WHERE student_id = 1381", |
| "SELECT name, energy_star_rating FROM appliances WHERE country = 'USA' AND energy_star_rating <= 4 ORDER BY energy_star_rating DESC LIMIT 3;", |
| "SELECT \"Release date\" FROM table_2_18792950_5 WHERE \"Production Number\" = '1665' AND \"Director\" = 'Robert McKimson' AND \"Series\" = 'MM'", |
| "SELECT name FROM Highschooler WHERE (friend_id IN (SELECT student_id FROM Highschooler WHERE (likes_id IN (SELECT student_id FROM Likes WHERE country = 'India' AND topic = 'Politics')) AND (likes_id IN (SELECT student_id FROM Likes WHERE country = 'India' AND topic = 'Sports')) AND (likes_id IN (SELECT student_id FROM Likes WHERE country = 'India' AND topic = 'Sports'))))", |
| "SELECT year, SUM(assessment_count) FROM eia WHERE year >= 2017 GROUP BY year;", |
| "SELECT MIN(\"Episode #\" ) FROM table_1_2501754_4", |
| "SELECT PetType, AVG(PetWeight) as AvgWeight FROM Pets WHERE PetID IN (SELECT PetID FROM Pets WHERE PetType = 'cat' ORDER BY PetWeight DESC LIMIT 1) GROUP BY PetType", |
| "SELECT MAX(tweets) FROM users WHERE country = 'Germany' AND category = 'technology';", |
| "SELECT \"College/junior/club team\" FROM table_1_2886617_9 WHERE \"Pick\" = '210.' AND \"College/junior/club team\" = 'Dallas Stars'", |
| "SELECT AVG(Dogs.age) FROM Dogs WHERE Dogs.dog_id IS NOT NULL;", |
| "SELECT campaign, launch_date FROM advocacy WHERE campaign LIKE 'advocacy%' ORDER BY launch_date DESC;", |
| "SELECT \"Away team\" FROM table_2_10809368_2 WHERE \"Crowd\" > '14,000' AND \"Home team\" = 'home' AND \"Home team score\" = '15.14 (104)'", |
| "SELECT COUNT(DISTINCT \"course_id\") FROM \"Courses\";", |
| "SELECT DISTINCT industry FROM startups WHERE founding_year < 2015;", |
| "SELECT \"H/A/N\" FROM table_2_16946097_7 WHERE \"Record\" = '20-48'", |
| "SELECT pet_type, MAX(weight) as max_weight FROM pets WHERE pet_age > 0 GROUP BY pet_type;", |
| "SELECT MIN(investment) FROM infrastructure_projects WHERE project LIKE 'infrastructure%';", |
| "SELECT \"Player\" FROM table_2_16351707_9 WHERE \"Runs\" = '124'", |
| "SELECT \"Continent\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'AGN' AND \"Language\" = 'F'", |
| "SELECT country, production_quantity FROM solar_energy WHERE production_quantity DESCorialy ORDER BY production_quantity DESC LIMIT 3;", |
| "SELECT partner FROM table_2_15100199_10 WHERE surface = 'hard' AND partner = 'maria elena camerin'", |
| "SELECT SUM(CASE WHEN country IN ('Afghanistan', 'Albania', 'Andorra', 'Anguilla', 'Antigua and Barbuda', 'Aruba', 'Armenia', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Ar", |
| "SELECT name, SUM(participants) AS total_participants, SUM(budget) AS total_budget FROM programs WHERE participants > 50 OR budget > 10000 GROUP BY name;", |
| "SELECT COUNT(DISTINCT \"End date\") FROM table_1_24057191_2 WHERE \"Episodes\" = '4.2'", |
| "SELECT series_name FROM \"TV_series\" WHERE \"title\" = 'The Rise of the Blue Beetle'", |
| "SELECT SUM(CASE WHEN art_id = 1 THEN 1 ELSE 0 END) FROM Artworks WHERE period = 'Renaissance' AND artist = 'Female';", |
| "SELECT \"To par\" FROM table_2_16092658_5 WHERE \"Score\" = '67-68=135'", |
| "SELECT name FROM \"poker_player\";", |
| "SELECT MortalityRate FROM Mortality WHERE Country = 'Mexico' AND CauseOfDeath = 'Heart Disease';", |
| "SELECT \"Venue\" FROM news_readership WHERE \"Result\" = '0-0'", |
| "SELECT visitorID, SUM(Num_of_Ticket) as Total_Tickets FROM visit WHERE visitorID IN (SELECT visitorID FROM visitor GROUP BY visitorID) GROUP BY visitorID ORDER BY Total_Tickets DESC LIMIT 1;", |
| "SELECT material, recycling_rate FROM recycling_rates WHERE year = 2021 AND material LIKE 'Plastic%' OR material LIKE 'Glass%' OR material LIKE 'Paper%'", |
| "SELECT \"Venue\" FROM news_readership WHERE \"Date\" = '1 march 2006'", |
| "SELECT MIN(CASE WHEN \"year\" = '2013' THEN \"tourney_date\" ELSE \"match_num\" END) AS \"year\", COUNT(*) AS \"number_of_matches\" FROM matches WHERE \"year\" > 1980 GROUP BY \"year\" ORDER BY \"number_of_matches\" DESC;", |
| "SELECT type, AVG(depth FROM marine_life GROUP BY type;", |
| "SELECT \"Try bonus\" FROM table_2_17369472_2 WHERE \"Lost\" = '12'", |
| "SELECT model FROM car_makers WHERE weight < (SELECT AVG(weight) FROM car_makers)", |
| "SELECT MIN(ride_duration) FROM ride_hailing WHERE ride_duration IS NOT NULL AND ride_duration IS NOT NULL AND ride_duration > 0;", |
| "SELECT AVG(\"Scoring average\") FROM table_2_18186168_5 WHERE \"Top 10s\" = '4'", |
| "SELECT COUNT(DISTINCT \"Paragraphs\") FROM \"Documents\" WHERE \"Document_Name\" = 'Summer Show' AND \"Topic\" = 'Summer Show'", |
| "SELECT COUNT(DISTINCT Country) FROM Countrypacecraft;", |
| "SELECT COUNT(DISTINCT \"Round\") FROM table_2_1137696_3 WHERE \"Fastest Lap\" = 'Damon Hill' AND \"Pole Position\" = 'Michael Schumacher' AND \"Grand Prix\" = 'hungarian grand prix'", |
| "SELECT name FROM (SELECT name FROM visitor WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND level_of_membership > 4 UNION SELECT name FROM visit WHERE membership > 4 AND", |
| "SELECT MIN(production_rate) FROM zinc_mines WHERE location = 'India';", |
| "SELECT COUNT(\"Evening Gown\") FROM table_1_12094300_1 WHERE \"State\" = 'District of Columbia'", |
| "SELECT flight_no FROM news_readership WHERE country = 'India' AND airline = 'United Airlines';", |
| "SELECT Country, COUNT(*) FROM Players WHERE GamingCommunity = 'InternationalGamers' GROUP BY Country;", |
| "SELECT \"First Pref votes\" FROM news_readership WHERE \"Leader\" = 'n/a' AND \"Party\" = 'independent'", |
| "SELECT name FROM singer WHERE country = 'India' GROUP BY name HAVING COUNT(DISTINCT song_id) > 1", |
| "SELECT production_count FROM production WHERE well_id = 'E05' AND well_location = 'Amazon Rainforest';", |
| "SELECT \"Role\" FROM table_2_11296015_4 WHERE \"Film\" = 'last samurai'", |
| "SELECT city.Name FROM `city` WHERE population BETWEEN 160000 AND 900000;", |
| "SELECT AVG(employee_count) FROM Labor_Statistics WHERE year = 2019 AND state = 'Illinois';", |
| "SELECT \"1st Leg\" FROM table_2_17968233_1 WHERE \"Aggregate\" = '4-2'", |
| "SELECT paragraph_text FROM paragraphs WHERE document_id = (SELECT document_id FROM documents WHERE document_name = 'Customer reviews')", |
| "SELECT COUNT(DISTINCT MilitaryBases.id) as total_military_bases, SUM(DepartmentOfDefenseBudget.amount) as total_defense_budget FROM MilitaryBases INNER JOIN DefenseBudget ON MilitaryBases.id = DefenseBudget.id WHERE DefenseBudget.country = 'USA';", |
| "SELECT \"U.S. airdate\" FROM table_1_12294557_3 WHERE \"Canadian airdate\" = 'may 4, 2009'", |
| "SELECT ranking_date, SUM(CASE WHEN \"winner_id\" IN (1, 2, 3) THEN 1 ELSE 0 END) AS \"total_tour\" FROM rankings WHERE country_code = 'USA' GROUP BY ranking_date;", |
| "SELECT DISTINCT service FROM department_services WHERE department = 'Transportation' AND city = 'XYZ';", |
| "SELECT AVG(\"To par\") FROM table_2_18150723_5 WHERE \"Score\" = '78-67-73=218'", |
| "SELECT COUNT(*) FROM \"TV_series\" WHERE `TV_series` LIKE 'Joseph Kuhr%'", |
| "SELECT Revenue FROM EsportsEvents WHERE Region = 'Asia' AND EventYear = 2022;", |
| "SELECT \"Platform\" FROM table_2_18649568_1 WHERE \"Collaboration\" = 'autoimmune disease and inflammation'", |
| "SELECT M.Museum_ID, M.Num_of_Staff FROM museum M WHERE M.Name = 'Plaza Museum' AND M.Open_Year = '2012'", |
| "SELECT MIN(age) FROM Trees;", |
| "SELECT COUNT(\"Conference Player of the Year\") FROM news_readership WHERE \"Conference\" = 'Florida , Kentucky & Georgia (East) Alabama (West)'", |
| "SELECT name, COUNT(friend_id) as num_friends FROM Highschooler WHERE country = 'India' GROUP BY name HAVING COUNT(friend_id) > 1", |
| "SELECT MAX(production_capacity) FROM chemical_plants WHERE country = 'Canada';", |
| "SELECT MIN(\"Selection\") FROM news_readership WHERE topic = 'ron barnett'", |
| "SELECT package_option FROM tv_channel WHERE tv_channel_id NOT IN (SELECT tv_channel_id FROM tv_series WHERE tv_series_id = '707' AND tv_series_name NOT in ('Double Down', 'Enter the Outsiders!') UNION ALL SELECT tv_channel_id FROM tv_series WHERE tv_series_id = '707' AND tv_series_name NOT in ('Double Down', 'Enter the Outsiders!')", |
| "SELECT menu_category, AVG(revenue) OVER (PARTITION BY menu_category) AS avg_revenue FROM restaurant_revenue WHERE date >= '2022-01-01' AND date <= '2022-01-02' GROUP BY menu_category;", |
| "SELECT \"Halil Mutlu ( TUR )\" FROM table_2_18508174_2 WHERE \"World record\" = 'olympic record' AND \"138kg\" = '167kg'", |
| "SELECT MAX(\"Final_Table_Made\") FROM \"poker_player\" WHERE \"Earnings\" < '200000'", |
| "SELECT country, (SELECT SUM(CASE WHEN num_hotels > 100 THEN 1 ELSE 0 END) FROM eco_hotel_count WHERE country = 'France' AND num_hotels > 100) AS num_hotels FROM eco_hotel_count WHERE country IN ('France', 'Italy', 'Germany', 'Spain', 'UK') AND num_hotels > 100;", |
| "SELECT \"Score\" FROM table_2_1520559_3 WHERE \"Country\" = 'Japan' AND \"Year\" = '2016'", |
| "SELECT shop.Name, shop.Location, shop.District, shop.Number_products FROM shop WHERE shop.District = 'India' OR shop.District = 'Argentina' ORDER BY shop.Number_products DESC LIMIT 1;", |
| "SELECT city, capacity FROM landfill_capacity WHERE city IN ('City A', 'City B') GROUP BY city;", |
| "SELECT MAX(Crowd) FROM table_2_10809351_17 WHERE \"Home team score\" = '6.11 (47)'", |
| "SELECT teacher.\"Name\", teacher.\"Age\" FROM teacher;", |
| "SELECT MAX(size) FROM properties WHERE city = 'Austin';", |
| "SELECT \"Silver\" FROM table_2_11389949_1 WHERE \"Gold\" = '1' AND \"Rank\" < '3' AND \"Nation\" = 'japan'", |
| "SELECT SUM(CASE WHEN `state` IN ('NY', 'CA') THEN 1 ELSE 0 END) FROM `VOTES`;", |
| "SELECT Disability_Type, COUNT(DISTINCT Student_ID) FROM Disability_Accommodations WHERE Accommodation_Type IS NOT NULL GROUP BY Disability_Type;", |
| "SELECT \"Song\" FROM table_2_15696410_1 WHERE \"Points\" = '57'", |
| "SELECT dog_id, date_of_arrival, date_of_departure FROM Dogs WHERE dog_id IN (SELECT dog_id FROM Dogs WHERE animal = 'Cattle')", |
| "SELECT name, MAX(bias_score) FROM CreativeAIs WHERE bias_score IS NOT NULL GROUP BY name;", |
| "SELECT \"Opponent\" FROM news_readership WHERE \"Record\" = '54-69'", |
| "SELECT COUNT(DISTINCT `Conductor_ID`) FROM \"conductor\";", |
| "SELECT MAX(pollution_level) FROM pollution_monitoring_atlantic WHERE location = 'Atlantic Ocean';", |
| "SELECT COUNT(\"Couple\") FROM table_1_19744915_3 WHERE \"Total\" = '14.5'", |
| "SELECT charge_type, charge_amount FROM treatment_types WHERE country = 'India';", |
| "SELECT region, SUM(revenue) FROM hotels WHERE region IS NOT NULL GROUP BY region;", |
| "SELECT \"Builder\" FROM table_2_17477462_3 WHERE \"Year\" = 1920", |
| "SELECT COUNT(DISTINCT \"People_ID\") FROM \"poker_player\" WHERE \"People_ID\" > 1", |
| "SELECT State, COUNT(*) FROM Hospitals WHERE MentalHealth = TRUE GROUP BY State;", |
| "SELECT COUNT(\"Sprint Points\") FROM news_readership WHERE \"Rank\" = '19' AND \"Extra Laps\" = '0'", |
| "SELECT continent, COUNT(Country) FROM continents GROUP BY continent HAVING COUNT(Country) > 1;", |
| "SELECT state, AVG(enrollment) FROM public_schools WHERE state = 'California' GROUP BY state;", |
| "SELECT \"Score\" FROM table_2_18336411_4 WHERE \"Record\" = '4-1'", |
| "SELECT pet_age, pet_weight FROM pets WHERE pet_age > 1", |
| "SELECT movie.title, AVG(movie.production_budget) AS avg_budget FROM movies m JOIN movies movie2 ON m.title = movie2.title WHERE movie2.genre = 'Action' AND movie2.release_year BETWEEN 2010 AND 2020 GROUP BY movie.title;", |
| "SELECT \"Claimant\" FROM table_2_1594415_2 WHERE \"Rank\" = '200'", |
| "SELECT model_list.model, model_list.maker, COUNT(model_list.id) as model_count FROM \"car_makers\" JOIN \"model_list\" ON \"car_makers\".model = \"model_list\".model GROUP BY model_list.model;", |
| "SELECT MIN(team_size) FROM disaster_response_teams;", |
| "SELECT COUNT(\"2013 Rank (oil companies)\") FROM table_1_23950611_2 WHERE \"Name\" = 'Cenovus Energy'", |
| "SELECT airline FROM news_readership WHERE country = 'India' AND readership < 200", |
| "SELECT AVG(yield) FROM crops WHERE region = 'Pacific' AND year = 2021;", |
| "SELECT \"Quotient\" FROM news_readership WHERE country = 'India' AND \"Votes\" = '27,391'", |
| "SELECT song_name FROM news_readership WHERE country = 'India' AND readership > (SELECT AVG readership FROM news_readership WHERE country = 'India')", |
| "SELECT category, SUM(COUNT(*)) FROM Artworks WHERE category IN (SELECT category FROM Artworks GROUP BY category) GROUP BY category ORDER BY COUNT(*) DESC;", |
| "SELECT \"District\" FROM table_1_2668378_13 WHERE \"Result\" = 'winner' AND \"Incumbent\" = 'William Hoge'", |
| "SELECT h.id FROM Highschooler h WHERE h.liked_id IN (SELECT f.id FROM Friend f WHERE f.readership > 100)", |
| "SELECT AVG(temperature) FROM field_temperatures WHERE field_id = 'A' AND reading_date >= '2021-06-01' AND reading_date < '2021-06-31';", |
| "SELECT SUM(\"Draw\") FROM table_2_11415745_1 WHERE \"Place\" < '5' AND \"Draw\" < '62' AND \"Song\" = 'ne izdajte me'", |
| "SELECT COUNT(DISTINCT concert_ID) FROM concert GROUP BY concert_ID ORDER BY COUNT(DISTINCT concert_ID) DESC;", |
| "SELECT explainable_ai, COUNT(*) FROM Financial_Services GROUP BY explainable_ai HAVING COUNT(*) > 1;", |
| "SELECT COUNT(DISTINCT \"Season\") FROM table_1_24596664_1 WHERE \"Position\" = '18th'", |
| "SELECT \"stadium_ID\" FROM \"stadium\" WHERE \"year\" = 2014 OR \"year\" = 2013", |
| "SELECT AVG(amount) FROM funding_records WHERE company_id IN (SELECT company_id FROM companies WHERE industry = 'Fintech40' AND founder_age > 40);", |
| "SELECT \"Runners\u2013up\" FROM news_readership WHERE country = 'India' AND \"Winner\" = 'Hajduk Split (3)'", |
| "SELECT stadium.Name, stadium.Average FROM stadium WHERE stadium.Average = (SELECT MAX(Average) FROM stadium WHERE stadium.Average > 0)", |
| "SELECT sector, expiration_date FROM agriculture_cb_expirations WHERE sector = 'agriculture'", |
| "SELECT \"Place\" FROM table_2_17231302_7 WHERE \"Country\" = 'united states' AND \"Player\" = 'calvin peete'", |
| "SELECT student_id, grade FROM (SELECT student_id, grade FROM Highschooler WHERE country = 'India' UNION SELECT student_id, grade FROM Highschooler WHERE country = 'Argentina' UNION SELECT student_id, grade FROM Highschooler WHERE country = 'India' UNION SELECT student_id, grade FROM Highschooler WHERE country = 'Argentina') AS subquery;", |
| "SELECT resource_name, SUM(quantity) FROM resource_extraction WHERE extractor_gender = 'Male' AND extractor_race = 'Caucasian' AND extractor_race = 'African American' AND extractor_race = 'Hispanic' AND extractor_race = 'Non-binary' GROUP BY resource_name;", |
| "SELECT \"Record\" FROM table_2_13023925_2 WHERE \"Opponent\" = 'st. louis cardinals'", |
| "SELECT COUNT(DISTINCT Document_ID) FROM Documents;", |
| "SELECT SUM(grant_amount) FROM research_grants WHERE department_id = 1 AND grant_year = 2021 AND department_id = 2 AND grant_year = 2022;", |
| "SELECT \"Host\" FROM news_readership WHERE \"Premiere\" = 'November 10, 2007'", |
| "SELECT \"CountryCode\" FROM `country` WHERE `Continent` = 'Africa' AND `Population` > (SELECT `Population` FROM `country` WHERE `Continent` = 'Africa')", |
| "SELECT SUM(quantity) FROM recycled_polyester WHERE year = 2020;", |
| "SELECT \"Game\" FROM table_1_24464253_1 WHERE \"Game\" = '1'", |
| "SELECT country, AVG(CarsData.CarsWeight) FROM cars_data WHERE CarsData model_list = 'car' AND CarsData country IN (1, 2, 3, 4) GROUP BY country HAVING AVG(CarsData.CarsWeight) >= 3000 AND AVG(CarsData.CarsWeight) <= 4000", |
| "SELECT SUM(number_of_tourists) FROM tourism WHERE destination LIKE '%Europe%';", |
| "SELECT \"City of License\" FROM table_2_12525402_1 WHERE \"Frequency\" = '103.5 MHz'", |
| "SELECT country, gName, AVG(CASE WHEN gLifeExpectancy > 72.0 THEN 1 ELSE 0 END) as AvgLifeExpectancy FROM countrylanguage g WHERE gName IN ('Dari', 'Arabi', 'Balochi', 'Nepal', 'Afghanistan', 'Albania', 'Andorra', 'Antigua and Barbuda', 'Armenia', 'Austra', 'Asean', 'Aruba', 'Armenia', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba', 'Aruba',", |
| "SELECT rank, title, description, agency, date FROM national_security WHERE agency = 'Russia' ORDER BY rank;", |
| "SELECT \"Date of vacancy\" FROM news_readership WHERE \"Team\" = 'manuel pellegrini'", |
| "SELECT people.Name FROM people WHERE people.Nationality NOT LIKE 'Russia%';", |
| "SELECT country, SUM(cost) FROM missions WHERE mission_name LIKE 'Apollo%' OR mission_name LIKE 'Artemis%' OR mission_name LIKE 'Luna%' OR mission_name LIKE 'Luna-2023' GROUP BY country;", |
| "SELECT \"Incumbent\" FROM table_1_2668336_19 WHERE \"Result\" = 'retired democratic-republican hold' AND \"First elected\" = 'John Murray (DR) 50.4% George Denison (DR) 49.6%'", |
| "SELECT Document_ID FROM Documents GROUP BY Document_ID HAVING COUNT(*) >= 2", |
| "SELECT MAX(construction_cost) FROM infrastructure_projects WHERE location = 'Germany';", |
| "SELECT tournament FROM table_2_13900387_2 WHERE score = '6\u20133, 7\u20136'", |
| "SELECT continent, SUM(population) FROM (SELECT continent, AVG(population) as population FROM (SELECT continent, 1000000 as population FROM (SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = 'AFG' UNION ALL SELECT country, 1000000 as country FROM `country` WHERE `CountryCode` = '", |
| "SELECT AVG(carbon_footprint) FROM sustainability_metrics WHERE product_id IN (SELECT product_id FROM sustainability_metrics WHERE carbon_footprint > 0);", |
| "SELECT \"School/Club Team\" FROM table_2_10015132_4 WHERE \"Years in Toronto\" = '2012'", |
| "SELECT COUNT(CASE WHEN MAX(Capacities) > MAX(Horses) THEN 1 ELSE 0 END) FROM (SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 3 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 4 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 5 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 6 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 7 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 8 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 9 UNION ALL SELECT model, MAX(Capacities) as MaxAccelerates, MAX(Horses) as MaxHorses FROM \"car_makers\" WHERE CountryId = 10) as CarMakers;", |
| "SELECT City, SUM(Revenue) FROM Concerts GROUP BY City;", |
| "SELECT MAX(\"2011 population\") FROM table_1_282413_3 WHERE \"Ethnic group\" = 'Asian or Asian British: Asian Other'", |
| "SELECT SUM(SURFACE AREA) FROM `country` WHERE `CountryCode` = 'CAR'", |
| "SELECT MIN(production_rate) FROM wells WHERE region IN ('Mediterranean Sea', 'Black Sea') AND well_id IN (SELECT id FROM wells WHERE well_name LIKE 'Well T');", |
| "SELECT \"Power Capacity (GW)\" FROM table_1_11456251_5 WHERE \"Number of Generators\" = '781'", |
| "SELECT Template_ID FROM Templates WHERE Template_Type_Code IN (9, 2394);", |
| "SELECT COUNT(*) FROM farms WHERE country = 'USA' AND organic = TRUE;", |
| "SELECT \"Total\" FROM table_2_18153365_1 WHERE \"Finish\" = 't59'", |
| "SELECT COUNT(DISTINCT PetID) FROM Pets WHERE PetType = 'dog' AND Sex = 'Female' AND Age > 18;", |
| "SELECT COUNT(DISTINCT factory_id) FROM factories WHERE factory_id IN (SELECT id FROM workers WHERE audit_passed = TRUE);", |
| "SELECT \"Perfect stem\" FROM table_2_12784134_24 WHERE \"Future stem\" = 'emango'", |
| "SELECT name FROM singer ORDER BY net_worth_millions;", |
| "SELECT AVG(fare) FROM trips JOIN trips ON trips.id = trips.id WHERE trips.wheelchair_accessible = TRUE AND trips.id IN (SELECT id FROM buses WHERE type = 'Standard');", |
| "SELECT \"Position\" FROM table_2_13874304_2 WHERE \"Level\" = '3' AND \"Nationality\" = 'Saint Kitts and Nevis'", |
| "SELECT \"Maker\", \"Model\" FROM \"car_makers\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"", |
| "SELECT HireYear, SUM(CASE WHEN Department = 'IT' THEN 1 ELSE 0 END) as Total_Hired FROM Hiring WHERE HireYear IS NOT NULL GROUP BY HireYear;", |
| "SELECT \"Score\" FROM table_2_12475284_4 WHERE \"Player\" = 'billy andrade' AND \"To par\" = '\u20136'", |
| "SELECT Document_ID, 'Document Name' FROM Paragraphs GROUP BY Document_ID ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT country, percentage_fully_vaccinated FROM covid_vaccinations WHERE country IN ('Australia', 'Argentina') AND percentage_fully_vaccinated > 80;", |
| "SELECT \"Capacity factor\" FROM table_1_11456251_5 WHERE \"Power Source\" = '4048'", |
| "SELECT city, COUNT(DISTINCT Employee_ID) FROM employee WHERE country = 'India' GROUP BY city;", |
| "SELECT category, SUM(quantity) AS total_revenue FROM revenue WHERE event IN ('Concert', 'Jazz Festival', 'Theatre Play') GROUP BY category;", |
| "SELECT \"Nationality\" FROM table_2_13821868_1 WHERE \"Pick\" = '116'", |
| "SELECT DISTINCT country FROM news_readership WHERE topic != 'Cartoon' AND id IN (SELECT id FROM news_readership WHERE topic = 'Cartoon' AND id NOT IN (SELECT id FROM news_readership WHERE topic = 'TV_series'));", |
| "SELECT city, year, SUM(violations) FROM traffic_violations WHERE city IN ('San Francisco', 'Los Angeles') AND year = 2019 GROUP BY city, year;", |
| "SELECT SUM(\"Draw\") FROM table_2_17633162_2 WHERE \"Lost\" = '5'", |
| "SELECT \"Maker\" FROM \"car_makers\" WHERE \"Year\" = '1970'", |
| "SELECT COUNT(*) FROM disaster_response_projects WHERE region = 'Asia';", |
| "SELECT \"Position\" FROM table_2_16772687_3 WHERE \"Player\" = 'drew barry category:articles with hcards'", |
| "SELECT COUNT(DISTINCT PetType) FROM Pets;", |
| "SELECT AVG(billing_amount) FROM cases WHERE attorney_id = (SELECT id FROM attorneys WHERE gender = 'Female' AND attorney_id != 0);", |
| "SELECT \"Nationality\" FROM table_2_14290517_14 WHERE \"Round\" = '1'", |
| "SELECT COUNT(DISTINCT country) FROM news_readership WHERE country = 'USA'", |
| "SELECT MIN(billing_amount) FROM cases WHERE region = 'Northern';", |
| "SELECT \"Home team score\" FROM table_1_16388478_2 WHERE \"Ground\" = 'York Park'", |
| "SELECT COUNT(DISTINCT \"Paragraphs\") FROM \"Documents\" WHERE \"Document_Name\" = 'Summer Show' AND \"Template_ID\" = 1", |
| "SELECT COUNT(DISTINCT garment_category) FROM circular_economy;", |
| "SELECT \"Home team score\" FROM table_2_10784349_17 WHERE \"Venue\" = 'victoria park' AND \"Crowd\" > '18,000'", |
| "SELECT Template_Type_Code, MIN(SUBSTRING(Template_Details, 1, 1, '0'), SUBSTRING(Template_Details, 2, 1, '0')) as Smallest Template, Template_Type_Code FROM Ref_Template_Types GROUP BY Template_Type_Code;", |
| "SELECT AVG(Price) FROM Menu WHERE Restaurant = 'Gourmet G' AND Item = 'Vegetarian' AND Vegan = TRUE;", |
| "SELECT college FROM table_1_28059992_2 WHERE \"Position\" = 'dl'", |
| "SELECT stadium.Stadium_ID, COUNT(singer_in_concert.Singer_ID) FROM stadium WHERE stadium.Stadium_ID = 'Arbroath' GROUP BY stadium.Stadium_ID;", |
| "SELECT AVG(player_age) as avg_age, SUM(player_games.readership) as total_spending FROM player_games JOIN player ON player_games.player_id = player_id JOIN games ON player_games.game_id = games.id WHERE player_id IN (1, 2);", |
| "SELECT \"Office\" FROM table_1_224672_2 WHERE \"Term ended\" = 'January 3, 2001'", |
| "SELECT SUM(CASE WHEN `cost_of_treatment` > 0 THEN 1 ELSE 0 END) AS `Total Cost` FROM `treatment_types` WHERE `date_of_treatment` > '2022-01-01' AND `date_of_treatment` < '2023-01-01'", |
| "SELECT Region, SUM(Arrivals) FROM ArrivalsByRegion WHERE Year = 2020 AND Region = 'Oceania' GROUP BY Region;", |
| "SELECT AVG(\"Avg. Start\") FROM table_1_2190919_3 WHERE \"Avg. Finish\" = '29.0'", |
| "SELECT employee.name FROM employee WHERE employee.name NOT IN (SELECT employee.name FROM employee WHERE employee.name IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN (SELECT Employee_ID FROM evaluation WHERE Employee_ID IN", |
| "SELECT SUM(CASE WHEN salary > 80000 THEN 1 ELSE 0 END) FROM technology_unions WHERE employee_name LIKE 'Bella';", |
| "SELECT \"Record\" FROM news_readership WHERE \"February\" = '1'", |
| "SELECT AVG(hp) FROM (SELECT hp FROM (SELECT hp FROM livestock WHERE country = 'India' INTERSECT WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil' INTERSEMITLY WHERE country = 'China' INTERSEMITLY WHERE country = 'India' INTERSEMITLY WHERE country = 'Argentina' INTERSEMITLY WHERE country = 'Brazil'", |
| "SELECT type, MIN(budget) FROM AccommodationTypes WHERE type LIKE 'Disability Support' GROUP BY type;", |
| "SELECT \"Engine\" FROM table_2_1218394_1 WHERE \"Points\" = (SELECT MIN(\"Points\") FROM table_2_1218394_1 WHERE \"Engine\" = 'gc37-01 v10')", |
| "SELECT name, SUM(likes) FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name, SUM(likes) as likes FROM (SELECT name,", |
| "SELECT number_of_employees FROM employment WHERE industry = 'education';", |
| "SELECT \"ISLAND\" FROM table_2_1647218_1 WHERE \"CITY / TOWN\" = 'esperadinha airport'", |
| "SELECT p.first_name, p.last_name, p.cellNumber, p.first_name, p.last_name, p.cellNumber FROM `Professionals` p WHERE p.treatment_type_code = 'WALK' AND p.treatment_type_description = 'WALK' AND p.state = 'Indiana' AND p.treatment_type_description = 'WALK' GROUP BY p.first_name, p.last_name, p CellNumber, p.first_name, p.last_name, p CellNumber HAVING COUNT(*) > 2", |
| "SELECT gender, age, SUM(post_type) FROM posts WHERE user_id IN (SELECT user_id FROM users WHERE country = 'Germany') GROUP BY gender, age, user_id;", |
| "SELECT COUNT(\"Spokesperson\") FROM table_1_1992924_3 WHERE \"Year(s)\" = '2004'", |
| "SELECT DISTINCT `Orchestra_ID` FROM `orchestra` WHERE `Orchestra_ID` IS NULL", |
| "SELECT product_ingredients.ingredient_id FROM product_ingredients WHERE product_ingredients.product_id NOT IN (SELECT product_id FROM products WHERE cruelty_free = false);", |
| "SELECT MIN(\"Wins\") FROM news_readership WHERE country = 'India' AND \"Seasons\" = '1986'", |
| "SELECT abbreviation FROM 'flights' WHERE 'Airline' = 'JetBlue Airways'", |
| "SELECT AVG(age) FROM patients WHERE treatment = 'psychodynamic therapy';", |
| "SELECT \"Visitor\" FROM table_2_13581632_2 WHERE \"Date\" = 'november 27'", |
| "SELECT country, COUNT(*) FROM people WHERE people.Nationality = 'Russia' OR people.Nationality = 'Bulgaria' OR people.Nationality = 'Roman Bragin' OR people.Nationality = 'Sergey Grankin' OR people.Nationality = 'Yevgeni Sivozhelez' OR people.Nationality = 'Maksim Botin' OR people.Nationality = 'Yevgeni Zimansky' OR people.Nationality = 'Semen Poltavskiy' OR people.Nationality = 'Roman Bragin' OR people.Nationality = 'Sergey Grankin' OR people.Nationality = 'Yevgeni Sivozhelez' OR people.Nationality = 'Maksim Botin' OR people.Nationality = 'Yevgeni Zimansky' OR people.Nationality = 'Semen Poltavskiy' OR people.Nationality = 'Roman Bragin' OR people.Nationality = 'Sergey Grankin' OR people.Nationality = 'Yevgeni Sivozhelez' OR people.Nationality = 'Maksim Botin' OR people.Nationality = 'Yevgeni Zimansky' OR people.Nationality = 'Semen Poltavskiy' OR people.Nationality = 'Roman Bragin' OR people.Nationality = 'Sergey Grankin' OR people.Nationality =", |
| "SELECT AVG(LENGTH(content) - LENGTH(REPLACE(content, ' ', '')) + 1 ) as avg_word_count FROM news_articles WHERE position = 'Investigative Journalist' AND reporter_id IN (SELECT id FROM reporters WHERE country = 'India');", |
| "SELECT \"2007 Cascais\" FROM table_2_13076941_1 WHERE \"2014 Santander\" = 'RS:X Santander'", |
| "SELECT * FROM hiring;", |
| "SELECT AVG(price) FROM NailPolishSales WHERE category = 'Nail Polish' AND country = 'France' AND isEcoFriendly = TRUE;", |
| "SELECT MAX(\"Grid\") FROM table_2_16284301_2 WHERE \"Driver\" = 'Patrick Carpentier'", |
| "SELECT language FROM `countrylanguage` WHERE `CountryCode` = 'AR' AND `Language` = 'AR'", |
| "SELECT AVG(Amount) FROM Donations WHERE Country = 'USA';", |
| "SELECT \"Record\" FROM table_2_17371427_6 WHERE \"Date\" = 'March 1'", |
| "SELECT name FROM Highschooler WHERE grade > 5 AND friend_id IN (SELECT student_id FROM Highschooler WHERE grade > 5 AND friend_id > 0);", |
| "SELECT home_runs FROM baseball_stats WHERE team = 'Los Angeles Angels';", |
| "SELECT \"Nationality\" FROM news_readership WHERE \"Pick\" = '415'", |
| "SELECT country FROM \"countries\" WHERE \"CountryName\" = 'united states'", |
| "SELECT COUNT(*) FROM restaurants WHERE sustainable_sourcing = TRUE;", |
| "SELECT \"Text\" FROM table_2_16162581_1 WHERE \"Simplified characters\" = ' \u5fc3\u733f \u2026 \u610f\u9a6c'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` IN ('AFG', 'AND', 'ANT', 'NLD', 'NVB', 'AN', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', 'AS', '", |
| "SELECT COUNT(Discs.id) FROM Desserts AS Discs WHERE Discs.is_dairy_free AND Discs.country = 'France';", |
| "SELECT \"Reference\" FROM table_2_11664498_20 WHERE \"Strain\" = 'msb8'", |
| "SELECT country_code FROM players GROUP BY country_code ORDER BY COUNT(*) DESC LIMIT 1", |
| "SELECT format, language, SUM(views) as total_views FROM open_education_resources WHERE format = 'Video' AND language = 'English' GROUP BY format, language;", |
| "SELECT SUM(\"Points\") FROM table_2_1219767_1 WHERE \"Chassis\" = 'ligier js11/15'", |
| "SELECT teacher.Name FROM teacher WHERE course_id = 2 AND teacher.Name LIKE 'Math%'", |
| "SELECT city, SUM(policy) FROM inclusive_housing WHERE city IN ('Boston', 'Chicago') GROUP BY city;", |
| "SELECT \"Quarterback\" FROM news_readership WHERE \"Winning Pct.\" = '.792'", |
| "SELECT email_address FROM professionals WHERE state IN ('Hawaii', 'Wisconsin')", |
| "SELECT MAX(price) FROM Yttrium_Sales WHERE country = 'India' AND year BETWEEN 2019 AND 2021;", |
| "SELECT \"Game\" FROM table_2_17342230_5 WHERE \"Road Team\" = 'Boston' AND \"Date\" = 'april 23'", |
| "SELECT shop.Name, shop.Location, shop.District, shop.Number_products FROM shop ORDER BY shop.Number_products DESC", |
| "SELECT Item, Price FROM Menu WHERE Restaurant = 'Sustainable Seafood Restaurant';", |
| "SELECT \"Decision\" FROM news_readership WHERE \"Visitor\" = 'carolina'", |
| "SELECT `zip_postcode` FROM `Addresses` WHERE `city` = 'Port Chelsea'", |
| "SELECT success_rate FROM crispr WHERE gene_name = 'XYZ';", |
| "SELECT \"No. in series\" FROM news_readership WHERE \"Directed by\" = 'Carey Meyer' AND \"No. in season\" = '1'", |
| "SELECT template_Type_Code, COUNT(*) FROM (SELECT template_Type_Code, COUNT(*) AS Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM \"Templates\" WHERE Template_Type_Code LIKE 'PPT%') AS Template_Types) AS Template_Types GROUP BY Template_Types.Template_Type_Code;", |
| "SELECT AVG(age) FROM players WHERE multiplayer = true;", |
| "SELECT \"Roman\" FROM table_2_18789453_2 WHERE \"Proto-Germanic origin\" = '/ passage'", |
| "SELECT s.section_name, s.section_description FROM `Sections` s;", |
| "SELECT phylum, MAX(depth FROM marine_species WHERE depth > 0 GROUP BY phylum;", |
| "SELECT \"Streak\" FROM table_2_18289217_7 WHERE \"Location/Attendance\" = 'staples center' AND \"Score\" = '67\u201389'", |
| "SELECT COUNT(DISTINCT \"Nationality\") FROM \"people\";", |
| "SELECT Continent, MAX(CO2EmissionsReduction) as MaxCO2EmissionsReduction FROM Hotels GROUP BY Continent;", |
| "SELECT \"Unemployment Rate\" FROM table_1_22815568_7 WHERE \"County\" = 'Alexander' AND \"Status\" = 'transitional' AND \"Population\" > '1000000'", |
| "SELECT conductor.name, orchestra.name FROM conductor INNER JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id;", |
| "SELECT team_name, AVG(1000.0 * team_name) FROM baseball_teams GROUP BY team_name;", |
| "SELECT \"English Translation\" FROM table_2_1740431_3 WHERE \"Tamil Months\" = 'varsha'", |
| "SELECT \"Maker\" FROM \"car_makers\" WHERE \"Country\" = 'japan'", |
| "SELECT country, SUM(num_incidents) FROM cybersecurity_incidents WHERE year = 2020 GROUP BY country;", |
| "SELECT \"Date\" FROM table_2_14728848_2 WHERE \"Circuit\" = 'sandown'", |
| "SELECT ship_id, ship_name FROM (SELECT ship_id, ship_name, SUM(CASE WHEN injuries > 0 THEN 1 ELSE 0 END) AS total_injuries FROM ship WHERE country = 'India' OR country = 'Argentina' GROUP BY ship_id, ship_name) AS total_injuries;", |
| "SELECT source_type, MAX(size) as max_size, MIN(size) as min_size FROM space_debris GROUP BY source_type;", |
| "SELECT \"Lunar blastoff date\" FROM table_1_1558077_8 WHERE \"Mission name\" = 'Apollo 11'", |
| "SELECT Template_Type_Description FROM Templates WHERE Template_Type_Code = 'AD';", |
| "SELECT region_name, min_ocean_ph, max_ocean_ph FROM marine_region;", |
| "SELECT \"Head Coach\" FROM table_2_11365528_2 WHERE \"Location\" = 'Mudgeeraba'", |
| "SELECT COUNT(DISTINCT PetID) FROM Pets WHERE PetType = 'cat' AND PetAge > 10", |
| "SELECT SUM(weight) FROM parcels JOIN shipments ON parcels.shipment_id = shipments.id WHERE shipments.source_airport = 'FRA' AND shipments.destination_airport = 'ICN' AND shipped_date >= '2022-03-01' AND shipped_date <= '2022-03-31';", |
| "SELECT \"Frequency\" FROM table_1_10333757_1 WHERE \"Calls\" = 'WEGP'", |
| "SELECT pet_id FROM pets WHERE pet_age = 18 AND pet_lname = 'Smith'", |
| "SELECT AVG(height) FROM players WHERE team = 'Atlanta Hawks';", |
| "SELECT \"Year\" FROM table_2_1235746_1 WHERE \"Points\" > '0'", |
| "SELECT breed_type, size_type FROM (SELECT breed_code, size_type FROM `Breeds` WHERE `breed_code` IN ('ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'HESK', 'ESK', 'H", |
| "SELECT brand FROM makeup_ratings WHERE rating >= 4;", |
| "SELECT country FROM table_2_16193070_1 WHERE \"Player\" = 'arjun atwal'", |
| "SELECT orchestra, year FROM orchestra ORDER BY year DESC;", |
| "SELECT AVG(investment_amount) FROM climate_finance_projects WHERE region = 'East Asia' AND investment_year >= 2017 AND investment_year <= 2021;", |
| "SELECT \"Apparatus\" FROM table_2_18066166_1 WHERE Rank-Final > 6 AND Competition Description = 'U.S. Championships'", |
| "SELECT AVG(CASE WHEN Open_Year < '2009' THEN 0 ELSE 1 END) as \"Average Staff Working\" FROM museum WHERE country = 'India';", |
| "SELECT SUM(CASE WHEN company LIKE 'Defense%' THEN contract_value ELSE 0 END) FROM ContractData WHERE company LIKE 'Defense%';", |
| "SELECT COUNT(DISTINCT \"Constructor\") FROM news_readership WHERE \"Winning driver\" = 'Paul Thiel'", |
| "SELECT MAX(money_rank) FROM poker_player WHERE money_rank > 0;", |
| "SELECT dish_type, dish_name, SUM(sales) AS total_sales FROM menu WHERE country = 'India' GROUP BY dish_type, dish_name, dish_id, sales, dish_type, dish_id FROM menu WHERE country = 'India' AND sales > 100;", |
| "SELECT COUNT(\"Founded\") FROM table_1_2076522_2 WHERE \"Founded\" = '2006'", |
| "SELECT `email_address`, `cell_number`, `home_phone` FROM `Professionals` WHERE `professional_id` IN (SELECT `professional_id` FROM `Professionals` WHERE `role_code` = 'Employee')", |
| "SELECT AVG(num_beds) FROM hospitals WHERE rural = true;", |
| "SELECT \"Nominating Festival\" FROM table_2_12152327_1 WHERE country = 'Russia'", |
| "SELECT COUNT(DISTINCT \"singer\") FROM \"singer\";", |
| "SELECT event_name, event_date, attendee_count FROM Events WHERE attendee_count = (SELECT MAX(attendee_count) FROM Events)", |
| "SELECT \"Tries\" FROM table_2_11327266_9 WHERE \"Club\" = 'Munster' AND \"Apps\" = '1'", |
| "SELECT COUNT(DISTINCT `series_name`) FROM `TV_Channel`;", |
| "SELECT name FROM startup WHERE founder_identity = 'Black Female' AND funding = 'Seed' UNION SELECT name FROM startup WHERE founder_identity = 'White Male' AND funding = 'Seed';", |
| "SELECT SUM(\"Track\") FROM table_2_1187808_1 WHERE \"Translation\" = 'brussels'", |
| "SELECT COUNT(DISTINCT \"loser_name\") FROM news_readership WHERE country = 'India'", |
| "SELECT country, SUM(sales) FROM sales_data WHERE drug = 'DrugA' GROUP BY country HAVING SUM(sales) > 1000000;", |
| "SELECT \"No. Disc\" FROM news_readership WHERE \"Title\" = 'Jimmy Kaufman'", |
| "SELECT name FROM poker_player ORDER BY Earnings DESC", |
| "SELECT emp_id, training_hours FROM trainings WHERE training_hours DESC LIMIT 5;", |
| "SELECT \"Date\" FROM news_readership WHERE country = 'India' AND \"Opponent\" = 'tampa bay buccaneers'", |
| "SELECT COUNT(DISTINCT `professional_id`) FROM `Professionals` WHERE `professional_id` IS NOT IN (SELECT `professional_id` FROM `Treatments`)", |
| "SELECT Country, AVG(Temperature) OVER (ORDER BY AVG(Temperature) DESC) as Avg_Temperature FROM WeatherData WHERE Timestamp BETWEEN '2022-06-01' AND '2022-06-26' AND Country = 'India' OR Country = 'Argentina' OR Country = 'Canada' OR Country = 'Mexico' OR Country = 'Brazil' OR Country = 'China' OR Country = 'South Africa' OR Country = 'Australia' OR Country = 'New Zealand' OR Country = 'Japan' OR Country = 'South Korea' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country = 'Thailand' OR Country =", |
| "SELECT AVG(\"Tries\") FROM livestock WHERE \"Player\" = 'nathan mcavoy'", |
| "SELECT shop.Shop_ID, shop.Name, COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT SUM(COUNT(*))) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Shop_ID, shop.Name HAVING COUNT(*) = (SELECT COUNT(*) FROM employee e JOIN shop ON e.Employee_ID = e.Employee_ID GROUP BY shop.Sh", |
| "SELECT * FROM Customers WHERE PurchaseHistory LIKE '%Sustainable%And%Non-Sustainable%';", |
| "SELECT \"Score\" FROM table_2_18044375_5 WHERE \"To par\" = '5' AND \"Player\" = 'brian watts'", |
| "SELECT ORCHESTRAS_CONDUCTOR_ID FROM (SELECT ORCHESTRA_ID, COUNT(DISTINCT ORCHESTRAS_CONDUCTOR_ID) AS CONDUCTOR_COUNT FROM orchestra WHERE country IN ('India', 'Argentina') GROUP BY ORCHESTRACount) AS ORCHESTRAS;", |
| "SELECT SUM(sustaining_investment) FROM sustainable_investments WHERE venture_capital_id IN (SELECT id FROM venture_capitals WHERE location = 'United States');", |
| "SELECT \"Opponent\" FROM table_2_17589865_2 WHERE \"Round\" = 'sf'", |
| "SELECT country, SUM(CASE WHEN area > 1000000000000000000 THEN 1 ELSE 0 END) AS area FROM (SELECT country, SUM(CASE WHEN area > 1000000000000000000 THEN 1 ELSE 0 END) AS area FROM livestock WHERE country IN ('India', 'Argentina', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', '", |
| "SELECT name, price FROM menu_items WHERE name LIKE 'Restaurant%';", |
| "SELECT \"Drawn\" FROM news_readership WHERE \"Won\" = '12'", |
| "SELECT student_id, COUNT(*) as like_count FROM Likes WHERE country = 'India' GROUP BY student_id;", |
| "SELECT MIN(price) FROM ArtWork WHERE type = 'Painting' AND sale_year >= '2011' AND artist_continent = 'Africa' AND price > 0;", |
| "SELECT \"Decision\" FROM news_readership WHERE \"Home\" = 'Phoenix' AND \"Decision\" = 'Team Phoenix'", |
| "SELECT SUM(CASE WHEN `cost_of_treatment` > 0 THEN 1 ELSE 0 END) FROM treatment_types WHERE `date_of_treatment` > '2022-01-01'", |
| "SELECT year, element, quantity, AVG(quantity) OVER (PARTITION BY year) FROM production WHERE element IN ('Neodymium', 'Dysprosium') AND year IN (2018, 2019, 2020, 2021) GROUP BY year, element, quantity;", |
| "SELECT SUM(\"Points\") FROM table_2_14335332_3 WHERE \"Visitor\" = 'pittsburgh' AND \"Home\" = 'philadelphia'", |
| "SELECT Template_ID FROM Templates GROUP BY Template_ID HAVING COUNT(DISTINCT Document_ID) > 1", |
| "SELECT d.name, SUM(i.revenue) FROM Dispensaries d INNER JOIN Inventory i ON d.id = i dispensary_id WHERE i.product_type = 'edibles' AND i.state = 'CA' AND i.month = '12-2021' GROUP BY d.name;", |
| "SELECT MIN(\"Year\") FROM table_2_1646960_11 WHERE \"Category\" = 'Indonesian Idol' AND \"Nominee\" = 'Indonesian Idol'", |
| "SELECT AVG(Association) FROM show;", |
| "SELECT AVG(age) FROM visitors WHERE destination_id = 1 AND nationality = 'USA';", |
| "SELECT \"Champion (average in final)\" FROM table_2_18828487_1 WHERE \"Year\" < '2012' AND \"Runner-up (average in final)\" = 'steve beaton (97.16)'", |
| "SELECT museum.Museum_ID FROM museum WHERE museum.visitor_ID IS NULL;", |
| "SELECT province_id, MAX(year_preserved) as max_preserved FROM music_forms WHERE province_id IN (SELECT id FROM provinces) GROUP BY province_id;", |
| "SELECT \"Region\" FROM table_2_1585609_1 WHERE \"Name\" = '\u516b\u5c3e'", |
| "SELECT conductor.name FROM conductor WHERE conductor.year_of_work > 2008;", |
| "SELECT union_id, MAX(expiration_date) as last_expiration FROM collective_bargaining WHERE agreement_date IS NOT NULL AND expiration_date IS NOT NULL;", |
| "SELECT \"Venue\" FROM table_2_16351707_1 WHERE \"Rank\" = '3'", |
| "SELECT teacher.Name FROM teacher WHERE teacher.Hometown <> 'Little Lever Urban District'", |
| "SELECT country, SUM(CASE WHEN event = 'Event1' THEN 1 ELSE 0 END) AS event_count FROM defense_diplomacy_4 WHERE year IN (2015, 2016, 2017, 2018, 2019, 2020) GROUP BY country ORDER BY event_count DESC;", |
| "SELECT \"Suburb\" FROM table_2_1174162_1 WHERE \"Date first settled as a suburb\" = '1962'", |
| "SELECT first_name FROM professionals WHERE first_name NOT IN (SELECT first_name FROM owners) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM owners) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM breeders WHERE first_name NOT IN (SELECT first_name FROM breeders) UNION SELECT first_name FROM owners WHERE first_name NOT IN", |
| "SELECT SUM(revenue) FROM sites WHERE name LIKE 'Shibuya%' AND city = 'Shibuya' AND region = 'Shibuya';", |
| "SELECT \"Score points\" FROM table_2_18351792_8 WHERE \"Total\" = '13' AND \"Shooter\" = 'wc kerrville'", |
| "SELECT COUNT(DISTINCT `orchestra`) FROM `conductor` WHERE `record_company` = 'CD' OR `record_company` = 'DVD'", |
| "SELECT AVG(age) FROM ancient_burials WHERE gender = 'Female';", |
| "SELECT \"Away team\" FROM table_2_10789881_16 WHERE \"Home team score\" = '7.8 (50)'", |
| "SELECT grade FROM Highschooler WHERE student_id = 1510", |
| "SELECT AVG(price) FROM property WHERE city = 'Oakland';", |
| "SELECT \"Agency\" FROM table_1_14125006_1 WHERE \"Total Time Hours:Minutes\" = '30:48'", |
| "SELECT StuID FROM Student WHERE StuID NOT IN (SELECT StuID FROM pets WHERE pet_type = 'cat');", |
| "SELECT artist_id, SUM(COUNT(s.id)) as song_count FROM artists a JOIN songs_artists sa ON a.id = sa.artist_id JOIN songs s ON a.id = s.artist_id WHERE a.genre = 'country' AND s.genre = 'country' GROUP BY artist_id ORDER BY song_count DESC LIMIT 2;", |
| "SELECT MIN(\"Total\") FROM table_2_1453730_1 WHERE \"Bronze\" = 0 AND \"Silver\" > 0 AND \"Rank\" = '5'", |
| "SELECT name, birth_date FROM people ORDER BY name;", |
| "SELECT process_id, AVG(downtime) AS avg_downtime FROM manufacturing_processes WHERE downtime > 0 GROUP BY process_id;", |
| "SELECT player FROM table_2_12913985_6 WHERE score = '76-67-71=214'", |
| "SELECT address_id, first_name, middle_name, last_name FROM \"Addresses\"", |
| "SELECT MAX(cost) FROM infrastructure_development WHERE project_name LIKE 'infrastructure_development%';", |
| "SELECT opponent FROM table_2_17360905_3 WHERE \"Record\" = '4-0-0'", |
| "SELECT `CountryCode`, `Name`, `Population`, `LifeExpectancy` FROM `country` WHERE `Continent` = 'Asia' ORDER BY `Population` DESC LIMIT 1", |
| "SELECT destination_name, SUM(awards) FROM Destinations WHERE destination_name IN (SELECT destination_name FROM Destinations WHERE awards > 0) GROUP BY destination_name;", |
| "SELECT \"Debut\" FROM table_2_16388723_3 WHERE \"Country\" = 'England' AND \"Name\" = 'Sydney Barnes'", |
| "SELECT \"Record_Company\" FROM orchestra ORDER BY \"Record_Company\" ASC;", |
| "SELECT art_exhibitions.exhibition_name, funding_sources.source_name, funding_sources.amount FROM art_exhibitions INNER JOIN funding_sources ON art_exhibitions.source_id = funding_sources.source_id;", |
| "SELECT COUNT(\"Races\") FROM table_2_15204473_1 WHERE \"Poles\" > '0'", |
| "SELECT Document_ID FROM Documents GROUP BY Document_ID ORDER BY COUNT(*) - (SELECT MIN(DISTINCT Paragraph_Text) FROM Paragraphs) DESC LIMIT 1", |
| "SELECT AVG(monthly_consumption) FROM urban_areas WHERE city IN ('New York', 'Los Angeles');", |
| "SELECT \"Mecha\" FROM table_2_144915_1 WHERE \"Bird Uniform\" = 'condor'", |
| "SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (SELECT MAX(accelerate) FROM (", |
| "SELECT AVG(total_spending) FROM gaming_facts WHERE country IN ('USA', 'Canada', 'Mexico');", |
| "SELECT \"Home team score\" FROM table_1_16388398_1 WHERE \"Home team\" = 'Brisbane lions'", |
| "SELECT * FROM \"hiring\";", |
| "SELECT SUM(investment_type = 'social impact') FROM investments WHERE location = 'Asia' AND investment_year = 2019;", |
| "SELECT \"Venue\" FROM table_2_16816376_1 WHERE \"Year\" > '1992' AND \"Winners\" = 'us chaouia' AND \"Score\" = '1 \u2013 0'", |
| "SELECT \"first_name\", \"birth_date\" FROM \"players\" WHERE \"country_code\" = 'USA'", |
| "SELECT project_name, cost FROM creative_ai_projects WHERE cost > 100000.0 ORDER BY cost DESC LIMIT 3;", |
| "SELECT \"Country\" FROM table_2_16456989_4 WHERE \"Place\" = 't7' AND \"Score\" = '73-69-73=215'", |
| "SELECT employee.name, employee.age FROM employee ORDER BY employee.age ASC;", |
| "SELECT container_type, MIN(fuel_consumption) FROM container_ships WHERE year = 2016 GROUP BY container_type;", |
| "SELECT \"Position\" FROM table_2_15198842_14 WHERE \"College\" = 'grambling'", |
| "SELECT SUM(bonus) FROM evaluation WHERE country = 'India' OR country = 'Argentina'", |
| "SELECT (SUM(CASE WHEN type = 'Car' THEN 1 ELSE 0 END)) * 100.0 / SUM(CASE WHEN type = 'Bike' THEN 1 ELSE 0 END) FROM electric_vehicles WHERE city = 'Seoul' AND type IN ('Car', 'Bike');", |
| "SELECT \"Score in the final\" FROM table_1_2201724_1 WHERE \"Opponent in the final\" = 'Tony Roche'", |
| "SELECT employee.name, COUNT(e.employees) as num FROM employee e WHERE e.employees > 1 GROUP BY employee.name ORDER BY num DESC LIMIT 1;", |
| "SELECT SUM(project) FROM rural_infrastructure WHERE country IN ('Indonesia', 'Thailand', 'Philippines', 'Vietnam', 'Malaysia') AND year = 2018;", |
| "SELECT \"Record\" FROM table_2_16864968_3 WHERE \"Attendance\" > '17,033' AND \"Location\" = 'air canada centre' AND \"Points\" < '3'", |
| "SELECT teacher.name FROM teacher WHERE teacher.age = 32 OR teacher.age = 33;", |
| "SELECT SUM(Emissions.Sector) FROM EnergyConsumption E JOIN Emissions ON E.Sector = E.Sector AND E.Year = 2020 WHERE E.Year = 2020 AND E.Sector IN ('Residential', 'Commercial');", |
| "SELECT \"To par\" FROM news_readership WHERE country = 'United States' AND Place = 'T4' AND Score = '71-68=139'", |
| "SELECT paragraph_text FROM paragraphs WHERE document_name = 'Customer reviews';", |
| "SELECT species, stocking_density FROM fish_stock WHERE year = 2021 AND stocking_density > 0;", |
| "SELECT \"Probate activities\" FROM table_2_16078334_1 WHERE \"Notarial activities\" = 'no' AND \"Conduct of litigation\" = 'yes' AND \"Regulator\" = 'association of law costs draftsmen'", |
| "SELECT museum.Museum_ID, museum.name FROM (SELECT museum.Museum_ID, museum.name, ROW_NUMBER() OVER (ORDER BY COUNT(DISTINCT visitor.id) DESC) as rank FROM museum WHERE rank > 1000) as top_museums WHERE rank > 1000;", |
| "SELECT name, state FROM rural_hospitals WHERE num_beds > 50;", |
| "SELECT \"Home team\" FROM table_2_10774891_8 WHERE \"Crowd\" > '18,200' AND \"Away team\" = 'st kilda'", |
| "SELECT SUM(COUNT(*)) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT SUM(COUNT(*)) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE countryCode = 'AS' AND language = 'ES' GROUP BY countryCode HAVING COUNT(*) = (SELECT COUNT(*) FROM country WHERE", |
| "SELECT name, extraction_rate FROM mining_sites WHERE location LIKE 'California' AND extraction_rate <= 3 ORDER BY extraction_rate DESC;", |
| "SELECT \"Character name\" FROM table_2_14069895_2 WHERE \"Leading lady\" = 'Phyllis Welch'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` = 'AFG'", |
| "SELECT genre, AVG(length) AS avg_length FROM music_genres GROUP BY genre HAVING AVG(length) > 4;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Week\" < '14' AND \"Opponent\" = 'san francisco 49ers'", |
| "SELECT ranking_date, SUM(CASE WHEN \"tourney_level\" = 'Tour' THEN 1 ELSE 0 END) FROM rankings WHERE \"tourney_date\" IN (SELECT \"tourney_date\" FROM rankings WHERE \"tourney_level\" = 'Tour') GROUP BY ranking_date;", |
| "SELECT make, model FROM japan_ev_sales WHERE year >= 2019;", |
| "SELECT \"Venue\" FROM table_2_1126878_3 WHERE \"Competition\" = '1978 FIFA World Cup qualification'", |
| "SELECT SUM(CASE WHEN country = 'India' THEN 1 ELSE 0 END) FROM news_readership WHERE country != 'India'", |
| "SELECT investment_type, SUM(investment) FROM clients GROUP BY investment_type;", |
| "SELECT \"Record\" FROM table_2_18336411_4 WHERE \"Home\" = 'new york rangers' AND \"Date\" = 'april 17'", |
| "SELECT paragraph_id, text FROM paragraph WHERE document_name = 'Welcome to NY'", |
| "SELECT city, COUNT(DISTINCT customer_id) FROM mobile_customers WHERE city IN (SELECT city FROM mobile_customers WHERE country = 'India') GROUP BY city;", |
| "SELECT \"Height\" FROM table_1_12962773_12 WHERE \"Player\" = '5'", |
| "SELECT country, \"country\" FROM \"car_makers\" WHERE \"country\" IN (SELECT \"country\" FROM \"car_makers\" GROUP BY \"country\" HAVING COUNT(\"country\") = 1)", |
| "SELECT COUNT(*) FROM virtual_tours WHERE hotel_id IN (1, 2);", |
| "SELECT \"Aggregate score\" FROM table_1_28068063_2 WHERE \"Winners\" = 'Viadana' AND \"Match points\" = '4 \u2013 0'", |
| "SELECT charge_type, SUM(cost_of_treatment) FROM treatment_types WHERE country = 'India' GROUP BY charge_type;", |
| "SELECT SUM(price) FROM menus WHERE price < 5;", |
| "SELECT \"Manufacturer\" FROM table_2_1290024_17 WHERE \"Fleet numbers\" = 'wlwr 2, 4, 11'", |
| "SELECT language FROM `countrylanguage` WHERE countryCode IN (SELECT countryCode FROM `country` GROUP BY language)", |
| "SELECT device_country.country, COUNT(device_id) AS device_count, SUM(device_id) AS total_devices FROM device_info JOIN device_country ON device_info.device_id = device_country.device_id GROUP BY device_country.country;", |
| "SELECT \"Score\" FROM table_2_1762917_13 WHERE \"Competition\" = 'Friendly' AND \"Date\" = '30 April'", |
| "SELECT winner_name, loser_name FROM matches WHERE match_num = 1000000000;", |
| "SELECT SUM(funding_amount) FROM biotech_startups WHERE location LIKE 'Texas';", |
| "SELECT COUNT(DISTINCT \"Seasons\") FROM news_readership WHERE \"Coach\" = 'Guy Lowman' AND \"Seasons\" = '2'", |
| "SELECT citizenship FROM singer WHERE birth_year < 1945 INTERSECT SELECT citizenship FROM singer WHERE birth_year > 1955;", |
| "SELECT MIN(lead_time) FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE destination_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM WarehouseTransfers WHERE source_warehouse_id = (SELECT id FROM Warehouse", |
| "SELECT team FROM table_2_1235144_3 WHERE laps > 333 AND year < 2004", |
| "SELECT Document_ID, Template_ID, Document_Name FROM Documents WHERE Document_Name = 'Robbin CV'", |
| "SELECT AVG(Fuel_Consumption) FROM Vessels WHERE Type = 'Tanker';", |
| "SELECT \"Region\" FROM table_2_13076312_2 WHERE \"Format\" = 'cd' AND \"Label\" = 'a&m/canyon'", |
| "SELECT country, population, head_of_state FROM `country` WHERE `CountryCode` = 'AFG'", |
| "SELECT Material, MIN(SustainabilityScore) AS MinSustainabilityScore FROM TextileSources GROUP BY Material;", |
| "SELECT club FROM table_1_1676073_13 WHERE points_for = '693'", |
| "SELECT AVG(LifeExpectancy) FROM country WHERE Language != 'English'", |
| "SELECT SUM(revenue) FROM virtual_tours WHERE country = 'United Kingdom';", |
| "SELECT \"Version\" FROM table_2_11677066_1 WHERE \"Year\" = '1940-45'", |
| "SELECT continent, COUNT(DISTINCT language) FROM language WHERE continent IN ('Africa', 'Asia', 'North America', 'South America') GROUP BY continent ORDER BY COUNT(DISTINCT language) DESC LIMIT 1;", |
| "SELECT Province, SUM(Vaccinations) FROM Vaccinations GROUP BY Province;", |
| "SELECT \"Venue\" FROM table_2_10776330_6 WHERE \"Away team\" = 'geelong'", |
| "SELECT COUNT(DISTINCT `contestant_number`) FROM `CONTESTANTS` WHERE `contestant_number` > 10000;", |
| "SELECT MAX(amount) FROM grants WHERE department = 'Physics' AND amount > 0;", |
| "SELECT \"Sex ratio (rural)\" FROM table_2_10710364_2 WHERE \"Work participation (%)\" = '37.7%'", |
| "SELECT SUM(\"total_spent\") FROM visitor WHERE \"Level_of_membership\" = 1;", |
| "SELECT supplier_id, SUM(quantity) FROM product GROUP BY supplier_id;", |
| "SELECT \"Event\" FROM news_readership WHERE \"Method\" = 'submission (triangle choke)' AND \"Time\" = 'n/a' AND \"Res.\" = 'Win'", |
| "SELECT player_id, \"loser\" FROM matches WHERE match_num = 1000 AND \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"winner\" IN (SELECT \"winner\" FROM matches WHERE \"", |
| "SELECT AVG(PlayerAge) FROM Players WHERE Game = 'Fortnite' AND Continent = 'Asia';", |
| "SELECT COUNT(\"Years\") FROM table_2_15001957_1 WHERE \"Mixed doubles\" = 'Gaby Weissen Mireille Kosmala'", |
| "SELECT \"singer\" FROM concert WHERE year = 2014", |
| "SELECT program, COUNT(DISTINCT publications) FROM students WHERE program = 'Arts' AND publications > 1 GROUP BY program;", |
| "SELECT MIN(\"Population\") FROM table_1_176524_2 WHERE \"Area km 2\" = '750.51'", |
| "SELECT COUNT(DISTINCT \"countries\") FROM \"car_makers\" WHERE \"car_makers\" > 2", |
| "SELECT type, COUNT(site_id) FROM asian_sites WHERE city IN ('Tokyo', 'Seoul') GROUP BY type;", |
| "SELECT \"Mac OS X\" FROM table_2_1163160_2 WHERE \"Haiku\" = 'no' AND \"Client\" = 'dc++'", |
| "SELECT first_name FROM (SELECT Student.Fname FROM Student WHERE pet_age > 0 UNION ALL SELECT Student.Fname FROM Student WHERE pet_age > 1) AS subquery WHERE subquery.Fname LIKE 'cat%' OR subquery.Fname LIKE 'dog'", |
| "SELECT MAX(energy_efficiency_rating) FROM uk_appliances WHERE country = 'United Kingdom';", |
| "SELECT \"Rank\" FROM table_2_1882094_2 WHERE \"Finish\" = '8'", |
| "SELECT `name`, `result` FROM `battle` WHERE `bulgarian_commander` != 'Boril'", |
| "SELECT AVG(price) FROM musicals WHERE location = 'New York';", |
| "SELECT \"Capital City\" FROM table_1_209977_1 WHERE \"Area (sq mi\u00b2)\" = '1' AND \"Area (km\u00b2)\" = '1' AND \"District\" = 'CY'", |
| "SELECT name FROM singer WHERE birth_year IN (1948, 1949)", |
| "SELECT Agroecology_Farmers.name, Agroecology_Farmers.age, Agroecology_Farmers.location, Agroecology_Farmers.sustainable_practices FROM Agroecology_Farmers WHERE Agroecology_Farmers.location LIKE 'Africa%' AND Agroecology_Farmers.sustainable_practices = true;", |
| "SELECT \"Hand Number\" FROM table_1_26853172_1 WHERE \"Prevailing Wind\" = ' prevailing' AND \"Player 1\" = 'South'", |
| "SELECT COUNT(Car_Makers) FROM car_makers WHERE Cylinders > 6", |
| "SELECT mass FROM SpacecraftManufacturing WHERE manufacturer = 'ESA' AND launch_date < '2010-01-01' AND spacecraft_name LIKE 'ATV%'", |
| "SELECT SUM(\"Total\") FROM table_2_15702100_1 WHERE \"Year\" = '1953\u20131964'", |
| "SELECT StuID FROM (SELECT StuID FROM (SELECT StuID FROM (SELECT StuID FROM (SELECT StuID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType = 'cat' AND PetID IN (SELECT PetID FROM \"Pets\" WHERE PetType", |
| "SELECT SUM(tickets_bought) FROM events WHERE event_type IN ('Football', 'Basketball') AND (event_type = 'Football' OR event_type = 'Basketball');", |
| "SELECT \"Season\" FROM table_2_16351707_5 WHERE \"Venue\" = 'bellerive oval , hobart' AND \"Rank\" = '4'", |
| "SELECT zip_postcode FROM Addresses WHERE address_id = 1", |
| "SELECT AVG(water_consumption) FROM arizona_households WHERE month IN ('June', 'July', 'August') GROUP BY month;", |
| "SELECT \"School/Club Team\" FROM table_2_10015132_4 WHERE \"Player\" = 'juan dixon' AND \"Position\" = 'guard'", |
| "SELECT `phone_number` FROM `Transcript_Contents` WHERE `student_enrolment_id` = 1 AND `other_details` = 'Timmothy Ward'", |
| "SELECT AVG(price) FROM sourcing WHERE material = 'cotton' AND country = 'USA';", |
| "SELECT \"Opponent\" FROM news_readership WHERE \"Date\" = 'bye' AND \"Week\" = '1'", |
| "SELECT COUNT(*) FROM Likes WHERE student_id = 1381 AND friend_id = 1709", |
| "SELECT MAX(score) FROM threat_intelligence WHERE source_country = 'Russia';", |
| "SELECT MIN(\"40 to 44\") FROM table_1_16457934_5 WHERE \"15 to 17\" = '40 to 44'", |
| "SELECT maker, COUNT(model) FROM (SELECT maker, COUNT(model) AS model FROM car_makers WHERE country = 'europe' GROUP BY maker) AS models GROUP BY maker;", |
| "SELECT incident_type, partitioning_id, COUNT(*) FROM emergency_incidents WHERE incident_type = 'Medical' GROUP BY incident_type, partitioning_id ORDER BY COUNT(*) DESC;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Opponent\" = 'bye'", |
| "SELECT stadium.Stadium_ID, stadium.name, stadium.Location FROM stadium WHERE stadium.year = 2014 INTERSECT SELECT stadium.Stadium_ID, stadium.name, stadium.Location FROM stadium WHERE stadium.year = 2015", |
| "SELECT PolicyType, SUM(SaleDate) FROM Policies WHERE SaleDate >= '2022-01-01' AND SaleDate < '2022-03-31' GROUP BY PolicyType;", |
| "SELECT \"Attendance\" FROM table_2_14984039_1 WHERE \"Result\" = 'w 21\u20137'", |
| "SELECT SUM(Paragraphs.Count) FROM Paragraphs;", |
| "SELECT AVG(fare) FROM fares JOIN fares AS t ON t.bus_id = t.id WHERE city = 'Seattle';", |
| "SELECT \"Pole Position\" FROM table_2_1140077_2 WHERE \"Country\" = 'Brazil' AND \"Race\" = 'Brazilian Grand Prix'", |
| "SELECT Document_ID, Template_ID, Document_Name, Document_Description FROM Documents WHERE Document_Name = 'Robbin CV'", |
| "SELECT country, SUM(quantity) FROM materials GROUP BY country;", |
| "SELECT \"Episode\" FROM news_readership WHERE \"Title\" = 'The Wedding'", |
| "SELECT country, COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` IN (SELECT `Code` FROM `country` WHERE `CountryCode` IN (1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74,", |
| "SELECT project_id, contractor, contract_value, start_date FROM DefenseProjects WHERE contract_value > 10000000 AND start_date > '2018-01-01' AND contractor = 'Boeing'", |
| "SELECT \"Scores\" FROM table_1_29141354_2 WHERE \" First broadcast\" = 'Phillips Idowu'", |
| "SELECT model_list.model, MIN(Car_makers.reports) FROM car_makers JOIN models ON Car_makers.model = Models.model WHERE Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models.model = 'chevrolet' AND Car_makers.reports < MIN(Car_makers.reports) AND Models", |
| "SELECT industry_name, SUM(total_workers) FROM industry GROUP BY industry_name;", |
| "SELECT \"Away\" FROM table_2_15764352_9 WHERE \"Date\" = '2008-07-18'", |
| "SELECT museum.Museum_ID, museum.name FROM museum WHERE museum.Museum_ID = (SELECT MAX(museum.Museum_ID) FROM museum)", |
| "SELECT studio, workout FROM Workouts WHERE workout NOT IN ('Boxing') GROUP BY studio, workout HAVING COUNT(DISTINCT workout) = 1;", |
| "SELECT \"Winner\" FROM table_2_17282079_5 WHERE \"Event\" = 'punta del este'", |
| "SELECT country, MIN(lifeExpectancy) FROM life_expectancy WHERE country IN (SELECT country FROM country WHERE continent = 'Asia') GROUP BY country;", |
| "SELECT program_id, MAX(amount) as max_donates FROM donations GROUP BY program_id;", |
| "SELECT \"Res.\" FROM news_readership WHERE \"Time\" = '1:09'", |
| "SELECT \"Continent\" FROM `city` WHERE \"Name\" = 'Kabul'", |
| "SELECT MIN(marine_protected_areas.min_depth) FROM marine_protected_areas WHERE marine_protected_areas.region = 'Pacific';", |
| "SELECT \"Rank (week)\" FROM news_readership WHERE \"Written by\" = 'Russel Friend & Garrett Lerner'", |
| "SELECT COUNT(DISTINCT `student_id`) FROM `Students` WHERE `current_address_id` > 0", |
| "SELECT menu_category, SUM(quantity) AS total_quantity FROM orders WHERE menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE 'Desserts%' OR menu_category LIKE 'Appetizers%' OR menu_category LIKE 'Entrees%' OR menu_category LIKE '", |
| "SELECT COUNT(\"Goal Average 1\") FROM news_readership WHERE \"Goals Against\" = '92'", |
| "SELECT MAX(COUNT(*)) as max_transcripts_count, MAX(COUNT(*)) as max_enrolment_id FROM (SELECT course_id, COUNT(*) as count FROM (SELECT course_id, COUNT(*) as count FROM (SELECT address_id, course_id, semester_id, student_enrolment_id, semester_description, other_details, student_course_id, other_student_details, student_enrolment_id, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester_id, student_id, other_details, student_course_id, semester", |
| "SELECT COUNT(*) FROM vessel_performance WHERE arrived_date >= '2022-07-01' AND arrived_date <= '2022-07-31' AND country = 'Brazil' AND speed BETWEEN 15 AND 20;", |
| "SELECT \"Record\" FROM table_2_13955731_7 WHERE \"Date\" = 'September 30'", |
| "SELECT \"Content\" FROM \"TV_Channel\" WHERE \"serial_name\" = 'Sky Radio'", |
| "SELECT year, SUM(sales) FROM VehicleSales WHERE continent = 'Africa' AND vehicle_type = 'Electric' GROUP BY year, continent, vehicle_type, year;", |
| "SELECT \"Home team score\" FROM table_2_10885968_11 WHERE \"Venue\" = 'lake oval'", |
| "SELECT `name`, `result`, `bulgarian_commander` FROM `battle` WHERE `lost_in_battle` = 0 AND `country` = 'India' AND `country` = 'Argentina'", |
| "SELECT country, AVG(avg_depth) FROM marine_protected_areas WHERE area_sqkm > 0 GROUP BY country;", |
| "SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (SELECT \"Women's singles\" FROM (", |
| "SELECT \"Weekly_Rank\" FROM \"TV_series\" WHERE \"Episode\" = 'A Love of a Lifetime'", |
| "SELECT COUNT(DISTINCT DApps.id) FROM DApps INNER JOIN Developers ON DApps.developer_id = Developers.id WHERE Developers.region = 'Asia' AND DApps.creation_date >= '2021-01-01' AND DApps.creation_date <= '2021-12-31';", |
| "SELECT \"Winning score\" FROM table_2_1586876_1 WHERE \"Runner(s)-up\" = 'Charles Coody'", |
| "SELECT COUNT(DISTINCT `ID`) FROM \"TV_series\" WHERE `Title` = 'Joseph Kuhr'", |
| "SELECT * FROM urban_properties WHERE size > 1500;", |
| "SELECT \"1st leg\" FROM table_2_17290756_2 WHERE \"Team 1\" = 'Makedonija'", |
| "SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (", |
| "SELECT country, SUM(satellites) FROM satellite_launches WHERE country IN ('India', 'USA') GROUP BY country;", |
| "SELECT \"Home captain\" FROM table_2_12410929_13 WHERE \"Date\" = '23,24,25,26 july 1992'", |
| "SELECT COUNT(*) FROM matches WHERE (year = 2013 OR year = 2016)", |
| "SELECT DonationAmount FROM DonorTypes WHERE DonorType IN ('New', 'Returning') GROUP BY DonationAmount HAVING COUNT(DISTINCT DonorType) = 1;", |
| "SELECT \"Length\" FROM table_2_14069895_2 WHERE \"Character type\" = 'Milkman turned Prizefighter'", |
| "SELECT COUNT(DISTINCT `CountryCode`) FROM `countrylanguage` WHERE `CountryCode` IN ('AN', 'AND', 'AFG', 'ANT', 'ARG', 'ARGN', 'ASI', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI', 'AN', 'AND', 'AFG', 'ANT', 'ARG', 'ASI", |
| "SELECT SUM(quantity) FROM warehouse_o WHERE item_type IN ('E', 'F') UNION ALL SELECT SUM(quantity) FROM warehouse_p WHERE item_type IN ('E', 'F');", |
| "SELECT \"Original air date\" FROM table_1_23799417_1 WHERE \"Title\" = 'Something New'", |
| "SELECT COUNT(DISTINCT \"TV_Channel\") FROM news_readership WHERE language = 'English';", |
| "SELECT AVG(value) FROM contracts WHERE category = 'Cybersecurity';", |
| "SELECT \"Game\" FROM news_readership WHERE \"Score\" = 'l 90\u2013104 (ot)'", |
| "SELECT COUNT(DISTINCT P2.0) FROM (SELECT P1.0 FROM (SELECT P0.0 FROM (SELECT P0.0 FROM `Breeds` AS P0 WHERE P0.0 = 'Dogs') AS P0 WHERE P0.0 IS NOT NULL) AS P1 WHERE P1.0 IS NULL) AS P2", |
| "SELECT Policy.Area, MIN(Policy.Score) FROM Policy WHERE Policy.area IN ('Transportation', 'Education', 'Healthcare', 'PublicSafety') GROUP BY Policy.area;", |
| "SELECT \"Segment A\" FROM table_2_15187735_4 WHERE \"Episode\" = '42'", |
| "SELECT name FROM singer WHERE net_worth_millions > (SELECT MAX(net_worth_millions) FROM singer WHERE name = 'Liliane Bettencourt');", |
| "SELECT SUM(revenue) FROM concert_events JOIN artist_demographics ON concert_events.artist_id = artist_demographics.artist_id WHERE concert_events.country = 'Canada' AND gender = 'Non-binary' AND ethnicity = 'Asian' AND country = 'Canada';", |
| "SELECT \"Vehicle\" FROM table_2_1842080_3 WHERE \"Year\" > '2009' AND \"Class\" = 'car' AND \"Stages won\" = '0' AND \"Position\" = '5'", |
| "SELECT DISTINCT Template_Type_Code FROM Templates;", |
| "SELECT SUM(Amount) FROM Budget WHERE City = 'CityC';", |
| "SELECT SUM(\"Points\") FROM table_2_1228324_1 WHERE \"Chassis\" = 'Reynard 92D'", |
| "SELECT teacher.Name FROM teacher ORDER BY teacher.Age;", |
| "SELECT MAX(water_usage) FROM miami_customers WHERE city = 'Miami';", |
| "SELECT COUNT(\"Eliminated from competition\") FROM table_1_28068063_3 WHERE \"Match points\" = '4 \u2013 0' AND \"Match points\" = '78 \u2013 37' AND \"Match points\" = '41'", |
| "SELECT topic, id, name FROM news_readership WHERE country = 'India' AND `result` = 'lost_in_battle' AND `ship_type` = 'Brig' UNION SELECT topic, id, name FROM news_readership WHERE country = 'Argentina' AND `result` = 'lost_in_battle' AND `ship_type` = 'Brig';", |
| "SELECT SUM(price) FROM features WHERE name = 'Virtual tours';", |
| "SELECT surface FROM table_2_13900387_2 WHERE opponent = 'Adrian Ungur'", |
| "SELECT stadium.Name, stadium.Location FROM stadium WHERE stadium.Location IN (SELECT stadium.Location FROM stadium WHERE concert_ID IN (SELECT concert_ID FROM concert WHERE year = 2014 INTERSECT SELECT concert_ID FROM concert WHERE year = 2015))", |
| "SELECT Job_Title, COUNT(CASE WHEN Language = 'Spanish' THEN 1 END) AS count FROM CommunityHealthWorkers WHERE Language = 'Spanish' GROUP BY Job_Title;", |
| "SELECT \"Record\" FROM table_2_16946097_7 WHERE \"Score\" = '104-99'", |
| "SELECT MAX(Dog.age) FROM Dogs;", |
| "SELECT AVG(consultations) FROM cities WHERE state = 'NY' AND rural = true;", |
| "SELECT \"Lost\" FROM table_2_12886178_6 WHERE \"Club\" = 'abercarn'", |
| "SELECT stadium.Name, stadium.Capacity FROM stadium WHERE stadium.Capacity > 1000000 AND stadium.Capacity < 100000000 AND stadium.Country = 'India' OR stadium.Country = 'Argentina'", |
| "SELECT COUNT(*) FROM Users WHERE uses_wearable = false;", |
| "SELECT \"Score\" FROM table_2_17162255_6 WHERE \"Country\" = 'united states' AND \"Place\" = 't8' AND \"Player\" = 'craig stadler'", |
| "SELECT MAX(Cars_Data.Mpg) FROM cars_data WHERE Cars_Data.Cylinders = 8 AND Cars_Data.Production < 1980;", |
| "SELECT MAX(funding_round) FROM funding WHERE company_id = (SELECT id FROM companies WHERE name = 'WindForce' AND founder_race = 'African American' AND industry = 'Renewable Energy') AND founder_race = 'African American';", |
| "SELECT MIN(\"Height (m)\") FROM table_2_1753419_2 WHERE \"Prominence (m)\" = '2,349'", |
| "SELECT employee.name FROM employee ORDER BY SUM(evaluation.1) DESC LIMIT 1", |
| "SELECT continent, SUM(refinery_id) FROM ytterbium_refineries WHERE continent = 'South America' GROUP BY continent;", |
| "SELECT COUNT(DISTINCT \"Attendance\") FROM news_readership WHERE \"Record\" = '8-10'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` = 'AR'", |
| "SELECT country, product_count FROM cruelty_free_products WHERE cruelty_free = true AND product_count > 0;", |
| "SELECT \"Team 2\" FROM table_2_13601224_3 WHERE \"Team 1\" = 'us gor\u00e9e'", |
| "SELECT MAX(CAR_Horses) FROM cars_data WHERE Model LIKE 'car%' AND Accelerate > (SELECT MAX(Accelerate) FROM cars_data WHERE Model LIKE 'car%');", |
| "SELECT Region, Service, COUNT(DISTINCT Service) as ServiceCount FROM HealthcareServices GROUP BY Region, Service HAVING COUNT(DISTINCT Service) > 1;", |
| "SELECT \"Player\" FROM news_readership WHERE \"Country\" = 'India' AND \"Pick\" = 'Los Angeles Kings'", |
| "SELECT Document_ID, COUNT(*) FROM Document WHERE Template_Type_Code = 'PPT' GROUP BY Document_ID ORDER BY Document_ID;", |
| "SELECT SUM(CASE WHEN num_hospitals > 1000000 THEN 1 ELSE 0 END) FROM City WHERE population > 1000000;", |
| "SELECT runner_up FROM table_2_1059743_6 WHERE \"Winner\" = 'ilhwa chunma'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` = 'AFG'", |
| "SELECT COUNT(DISTINCT patients.id) FROM patients INNER JOIN treatments ON patients.id = treatments.patient_id WHERE patients.country = 'India' AND treatments.treatment = 'Group Therapy';", |
| "SELECT MIN(\"April\") FROM table_2_17310913_8 WHERE \"Game\" < '76'", |
| "SELECT COUNT(DISTINCT \"Continent\") FROM \"countries\";", |
| "SELECT SUM(price) FROM Artworks WHERE style = 'Expressionist';", |
| "SELECT \"Dual Commentator\" FROM news_readership WHERE \"Channel\" = 'Larisa Verbickaya' AND \"Spokesperson\" = 'Larisa Verbickaya'", |
| "SELECT teacher.Name, COUNT(course.id) FROM teacher JOIN course ON teacher.Teacher_ID = course.Teacher_ID GROUP BY teacher.Name;", |
| "SELECT region, year, SUM(metric1) * 100 / (SELECT SUM(metric1) FROM health_equity_metrics_worker WHERE region = 'West' AND year = 2020) as percentage1, SUM(metric2) * 100 / (SELECT SUM(metric2) FROM health_equity_metrics_worker WHERE region = 'West' AND year = 2021) as percentage2, SUM(metric3) * 100 / (SELECT SUM(metric3) FROM health_equity_metrics_worker WHERE region = 'West' AND year = 2021) as percentage3 FROM health_equity_metrics_worker WHERE region = 'West' AND year = 2020 AND region = 'West' AND year = 2021 GROUP BY region, year;", |
| "SELECT \"Written by\" FROM news_readership WHERE country = 'India' AND \"Season #\" = 10", |
| "SELECT pet_type FROM pets GROUP BY pet_type;", |
| "SELECT district, SUM(cases) FROM infectious_disease_delhi WHERE district LIKE 'East Delhi%' OR district LIKE 'South Delhi%' OR district LIKE 'West Delhi%' OR district LIKE 'New Delhi%' OR district LIKE 'West Delhi' GROUP BY district ORDER BY SUM(cases) DESC;", |
| "SELECT \"Lambda functions\" FROM table_2_1515407_3 WHERE \"Pseudorandom number generation\" = 'no' AND \"s\" = 'no' AND \"functions\" = 'no' AND \"eval function\" = 'no'", |
| "SELECT topic, date, result FROM news_readership WHERE country = 'India'", |
| "SELECT country, SUM(broadband_subscribers.readership) FROM broadband_subscribers WHERE country IN (SELECT country FROM country_codes GROUP BY country) GROUP BY country ORDER BY SUM(broadband_subscribers.readership) DESC LIMIT 5;", |
| "SELECT \"Country\" FROM table_1_1473672_6 WHERE \"Player\" = 'Derek Black'", |
| "SELECT COUNT(DISTINCT \"transcript_id\") FROM \"Transcripts\";", |
| "SELECT port_id, AVG(time_in_hours) FROM cargo_handling GROUP BY port_id;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Week\" > '15'", |
| "SELECT \"Code\" FROM country WHERE \"Language\" != 'English'", |
| "SELECT SUM(Weight) FROM Products WHERE Product_Name = 'Hydrating Cream' AND Category_ID = 3;", |
| "SELECT MIN(\"Number\") FROM table_2_12395766_1 WHERE \"Film\" = 'raiders of the lost ark'", |
| "SELECT breed_name FROM `Breeds` WHERE `breed_code` = 'ESK' ORDER BY `breed_name` DESC LIMIT 1", |
| "SELECT CityName, COUNT(DISTINCT FeedbackID) FROM Feedback WHERE Date >= '2020-01-01' AND Date < '2020-12-31' GROUP BY CityName;", |
| "SELECT \"4:00 pm\" FROM table_2_17871255_4 WHERE \"12:30 pm\" = 'sunset beach'", |
| "SELECT department_id, department_description FROM `Departments` WHERE `department_description` LIKE 'max% 2000-2009'", |
| "SELECT SUM(population) FROM wildlife WHERE year = 2020;", |
| "SELECT \"Week 14 Nov 30\" FROM table_2_15291779_3 WHERE \"Week 6 Oct 5\" = 'Michigan State (5-1)'", |
| "SELECT MAX(area_code) AS max_area_code, MIN(area_code) AS min_area_code FROM `area_code_state`;", |
| "SELECT mine.country, COUNT(employee.id) FROM mine JOIN employee ON mine.mine_id = employee.id GROUP BY mine.country;", |
| "SELECT COUNT(\"Matches As Captain\") FROM table_1_272865_20 WHERE \"Asian Cup Played As A Captain\" = 'Qatar 1988'", |
| "SELECT student_enrolment_id FROM Students WHERE student_id = 1", |
| "SELECT project_name, funding_amount FROM climate_finance WHERE year = 2019 AND funding_amount > 10000 ORDER BY funding_amount DESC LIMIT 3;", |
| "SELECT COUNT(DISTINCT \"Pick\") FROM news_readership WHERE \"Nationality\" = 'Canada' AND \"Player\" = 'Larry Courville'", |
| "SELECT Package_Option FROM \"TV_Channel\" WHERE \"serial_name\" = 'Sky Radio'", |
| "SELECT project_name, start_date FROM rural_infrastructure_projects WHERE country = 'Nepal' AND start_date > '2007-01-01' AND start_date < '2010-01-01';", |
| "SELECT COUNT(DISTINCT \"Points\") FROM table_1_26223231_1 WHERE \"Points\" = '6'", |
| "SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight_no IN (SELECT flight_no FROM news_readership WHERE country = 'India' AND flight", |
| "SELECT production_count FROM production WHERE well_id = 'A01' AND well_location = 'Gulf of Mexico';", |
| "SELECT \"Census Ranking\" FROM table_1_176524_2 WHERE \"Area km 2\" = 'Perth'", |
| "SELECT SUM(CASE WHEN grade <= 10 THEN 1 ELSE 0 END) FROM Highschooler WHERE grade IN (9, 10);", |
| "SELECT director_id, COUNT(*) as movies_count FROM movies GROUP BY director_id ORDER BY movies_count DESC;", |
| "SELECT \"Reign\" FROM table_2_16899750_1 WHERE \"Date\" = 'october 11, 2008'", |
| "SELECT pet_type, COUNT(*) FROM pets WHERE pet_age > 0 GROUP BY pet_type;", |
| "SELECT workout_type, SUM(workout_duration) FROM workout_data_ext WHERE additional_data LIKE '30' GROUP BY workout_type;", |
| "SELECT \"To par\" FROM table_2_17290229_2 WHERE \"Score\" = '71-74-72-72=289'", |
| "SELECT nationality, COUNT(*) FROM people GROUP BY nationality;", |
| "SELECT SUM(quantity) FROM production WHERE year = 2020 AND element = 'Neodymium' AND company_id IN (SELECT id FROM companies WHERE region = 'APAC');", |
| "SELECT \"Neon\" FROM table_2_18225689_3 WHERE \"Krypton\" = '213'", |
| "SELECT COUNT(DISTINCT department_id) FROM departments WHERE department_description LIKE 'Master%'", |
| "SELECT Climate_Change.year, Biodiversity.species_count, Biodiversity.region, Climate_Change.climate_id FROM Climate_Change INNER JOIN Biodiversity ON Climate_Change.year = Biodiversity.year AND Climate_Change.region = Biodiversity.region WHERE Climate_Change.year = 2000 AND Biodiversity.region = 'Arctic' AND Climate_Change.climate_id = 1;", |
| "SELECT \"Time/Retired\" FROM table_2_1122991_1 WHERE \"Driver\" = 'ivan capelli'", |
| "SELECT COUNT(DISTINCT concert_ID) FROM concert WHERE year = 2014 OR year = 2015", |
| "SELECT SUM(waste_amount) FROM location_waste WHERE waste_amount > 0 AND (waste_amount > 1000 OR waste_amount < 0);", |
| "SELECT club FROM table_1_13564637_5 WHERE points = '30'", |
| "SELECT Template_Type_Code, COUNT(DISTINCT Document_ID) AS Document_Count FROM Documents GROUP BY Template_Type_Code ORDER BY Document_Count DESC, Template_Type_Code;", |
| "SELECT MAX(Age) FROM Players WHERE Gender NOT IN ('Male', 'Female') AND Country NOT IN ('USA', 'Canada');", |
| "SELECT \"Years Record Stood\" FROM table_2_18208583_5 WHERE \"Triples\" = '1902' AND \"Team\" = 'pittsburgh pirates'", |
| "SELECT singer_name, COUNT(concert_ID) FROM singer WHERE country IN ('India', 'Argentina') GROUP BY singer_name;", |
| "SELECT MIN(passengers) FROM shared_autonomous_vehicles WHERE district = 3;", |
| "SELECT \"Date\" FROM table_2_10808089_12 WHERE \"Home team\" = 'richmond'", |
| "SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM (SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM (SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AND' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AND' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AND' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AND' UNION SELECT country, COUNT(DISTINCT language) as \"greatest languages count\" FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION SELECT country, COUNT(DISTINCT language)", |
| "SELECT State, SUM(Applications) FROM Veteran_Employment WHERE State = 'California' AND Year = 2018;", |
| "SELECT \"Performer 1\" FROM news_readership WHERE \"Date\" = '18 January 1991' AND \"Performer 3\" = 'Sandi Toksvig' AND \"Performer 4\" = 'Mike McShane'", |
| "SELECT stadium.Name, stadium.Average FROM stadium WHERE stadium.Average > (SELECT MAX(Average) FROM stadium WHERE stadium.Average > 100)", |
| "SELECT Name, Category FROM Donors WHERE TotalContributions > 1000000 AND Category IN ('Effective Altruism', 'Impact Investing')", |
| "SELECT \"Film\" FROM table_2_12152327_1 WHERE \"Nominating Festival\" = 'olga baillif'", |
| "SELECT \"Code\" FROM country WHERE \"Language\" != 'English'", |
| "SELECT store_id, SUM(revenue) FROM sales WHERE region = 'Northern' GROUP BY store_id;", |
| "SELECT \"Venue\" FROM table_2_17503198_1 WHERE \"Location\" = 'zhodino'", |
| "SELECT COUNT(DISTINCT \"People_ID\") FROM \"poker_player\";", |
| "SELECT COUNT(*) FROM news WHERE region = 'region1';", |
| "SELECT \"Volume:Issue\" FROM news_readership WHERE \"Weeks on Top\" < '5' AND \"Issue Date(s)\" = '10 July - 24 July'", |
| "SELECT semester_name FROM `Transcripts` WHERE student_enrolment_id IS NULL;", |
| "SELECT AVG(age) FROM patient_demographics WHERE treatment = 'Group' AND country = 'India';", |
| "SELECT \"Finish\" FROM table_2_14064009_2 WHERE \"Player\" = 'lee janzen'", |
| "SELECT COUNT(DISTINCT \"winner_id\") FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" = 3)) INTERSECT (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" IN (SELECT \"winner_id\" FROM matches WHERE \"winner_id\" = 3))))", |
| "SELECT PolicyType, SUM(Case when PolicyholderCountry = 'Canada' then 1 else 0 end) as TotalClaims FROM Claims WHERE PolicyholderCountry = 'Canada' GROUP BY PolicyType ORDER BY TotalClaims DESC LIMIT 3;", |
| "SELECT \"Attendance\" FROM news_readership WHERE \"Score\" = '3-5'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` = 'AF'", |
| "SELECT location FROM justice_programs WHERE type = 'Restorative Justice' ORDER BY id LIMIT 1;", |
| "SELECT \"Date\" FROM table_2_12410929_75 WHERE \"Home captain\" = 'courtney walsh' AND \"Venue\" = 'queen''s park oval'", |
| "SELECT `Region`, `Population` FROM `country` WHERE `CountryCode` = ' Angola'", |
| "SELECT AVG(FundingAmount) FROM USFunding WHERE Sector = 'Climate Change' AND Year = 2021;", |
| "SELECT \"Record\" FROM news_readership WHERE \"Week\" > '5' AND \"Opponent\" = 'at new york giants'", |
| "SELECT Template_Type_Code, version_number FROM Templates WHERE Template_Type_Code > '5'", |
| "SELECT Category, AVG(Reviews) FROM HeritageSitesReviews WHERE Category = 'Architectural' GROUP BY Category;", |
| "SELECT \"Current Club\" FROM table_1_12962773_12 WHERE \"Year born\" = '1984'", |
| "SELECT director, COUNT(*) FROM \"TV_series\" WHERE \"Country\" = 'India' AND \"Language\" = 'Italian' GROUP BY director;", |
| "SELECT SUM(revenue) FROM sustainable_tourism WHERE country IN ('New Zealand', 'Canada') AND year = 2022;", |
| "SELECT \"Away team\" FROM table_2_10640687_18 WHERE \"Home team\" = 'south melbourne'", |
| "SELECT pet_type, AVG(Age) as avg_age, MAX(Age) as max_age FROM pets GROUP BY pet_type;", |
| "SELECT title, filing_date FROM patent WHERE company_id = (SELECT id FROM company WHERE name = 'GenTech') AND company_id IN (SELECT id FROM patent WHERE title LIKE 'GenTech%');", |
| "SELECT \"Percentage\" FROM table_1_16186152_1 WHERE \"State Delegate\" = '1662'", |
| "SELECT Template_ID, COUNT(*) FROM Documents GROUP BY Template_ID HAVING COUNT(*) > 1", |
| "SELECT (SELECT age FROM AgeDistribution WHERE event_name = 'Family Day' AND attendee_age < 12) as children_under_12 FROM AgeDistribution WHERE event_name = 'Family Day';", |
| "SELECT \"Place\" FROM table_2_16611328_1 WHERE \"Event\" = '4000 m individual pursuit'", |
| "SELECT COUNT(DISTINCT \"CountryCode\") FROM country WHERE \"Language\" = 'Spanish'", |
| "SELECT Products.CountryName, Products.Dairy, SUM(QuantitySold) FROM Products WHERE Products.Dairy = true AND Products.ProductName IN ('Cheese', 'Eggs') GROUP BY Products.countryName, Products.Dairy;", |
| "SELECT SUM(\"Floors\") FROM table_2_11542096_2 WHERE \"Name\" = 'st. joseph church'", |
| "SELECT country FROM tv_channel WHERE id NOT IN (SELECT id FROM tv_series WHERE id IN (SELECT id FROM tv_series WHERE id IN (SELECT id FROM tv_series WHERE id = 700 UNION SELECT id FROM tv_series WHERE id = 701 UNION SELECT id FROM tv_series WHERE id = 703 UNION SELECT id FROM tv_series WHERE id = 704 UNION SELECT id FROM tv_series WHERE id = 705))", |
| "SELECT country, SUM(launch_year) FROM evidence_based_policy_making WHERE country IN (SELECT country FROM evidence_based_policy_making WHERE launch_year >= 2018) GROUP BY country ORDER BY SUM(launch_year) DESC LIMIT 3;", |
| "SELECT \"Engine code\" FROM table_2_1147701_4 WHERE \"Displacement (cm\u00b3)\" = '2435' AND \"Model name\" = '2.4 (2001-2007)'", |
| "SELECT AVG(L lifeexpectancy) FROM `country` WHERE `CountryCode` = 'AFG' AND `Continent` = 'Africa'", |
| "SELECT country, COUNT(project_id) FROM wind_projects_2 WHERE country IN ('Germany', 'Sweden') AND completion_year IN (2019, 2020) GROUP BY country;", |
| "SELECT \"Circuit\" FROM table_1_2446333_2 WHERE \"Country\" IN ('France', 'Portugal')", |
| "SELECT name, SUM(relation) FROM (SELECT name, SUM(CASE WHEN song.Singer_ID = singer.Singer_ID THEN 1 ELSE 0 END) AS relation FROM news_readership INNER JOIN song ON news_readership.Singer_ID = song.Singer_ID GROUP BY name) AS singer_sales GROUP BY name;", |
| "SELECT SUM(hours) FROM volunteers_2 WHERE program LIKE 'Music Outreach%' AND hours > 10", |
| "SELECT college FROM table_2_17100961_49 WHERE round = 11 AND pick = 14", |
| "SELECT h.hometown, COUNT(t.teacher_ID) FROM teacher t INNER JOIN course h ON t.teacher_ID = h.teacher_ID GROUP BY h.hometown;", |
| "SELECT COUNT(*) FROM attorneys WHERE ethnicity = 'Latinx' AND years_of_experience > 5;", |
| "SELECT \"School\" FROM table_1_21995420_6 WHERE \"Basic Elements\" = '52'", |
| "SELECT `area_code`, SUM(COUNT(*)) FROM `VOTES` WHERE `state` = 'IN' GROUP BY `area_code` ORDER BY COUNT(*) DESC, SUM(COUNT(*)) DESC LIMIT 1;", |
| "SELECT operation_name, environmental_impact FROM mining_operations WHERE environmental_impact > (SELECT AVG(environmental_impact FROM mining_operations WHERE environmental_impact > 0);", |
| "SELECT director FROM table_2_12634855_1 WHERE title = 'transylvania 6-5000'", |
| "SELECT name FROM Highschooler WHERE grade = 10", |
| "SELECT MIN(elevation) FROM Bridges;", |
| "SELECT \"Player\" FROM table_2_17162128_6 WHERE \"Place\" = 't10' AND \"Country\" = 'united states' AND \"Score\" = '69-70-76=215'", |
| "SELECT teacher_name FROM teacher WHERE teacher_name NOT LIKE 'Little Lever Urban District%'", |
| "SELECT gender, age, AVG(mental_health_score) FROM students WHERE ethnicity = 'Hispanic' GROUP BY gender, age, ethnicity;", |
| "SELECT COUNT(\"Regular Season Winner\") FROM table_1_24160890_3 WHERE \"Conference Tournament\" = 'Cincinnati'", |
| "SELECT pet_age, COUNT(DISTINCT pet_id) FROM pets WHERE pet_age > 0 AND pet_age < 10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", |
| "SELECT COUNT(*) FROM patients WHERE diagnosis = 'Hypertension' AND age > 65 AND name LIKE 'Mountain%'", |
| "SELECT \"Engine\" FROM news_readership WHERE \"Team\" = 'Fuzzy''s Ultra Premium Vodka' AND \"Car Sponsor(s)\" = 'Team Penske'", |
| "SELECT address_id FROM `Students` WHERE student_id IS NOT NULL;", |
| "SELECT AVG(wastewater_plants.water_consumption) FROM wastewater_plants WHERE state_id = 1 AND year BETWEEN 2017 AND 2019;", |
| "SELECT \"Rank\" FROM table_2_1251973_1 WHERE \"Year\" = '1955'", |
| "SELECT country, COUNT(*) FROM \"TV_Channel\" WHERE \"series_name\" LIKE 'TV Channel%' GROUP BY country;", |
| "SELECT training.course, COUNT(employees.id) FROM employees INNER JOIN training ON employees.id = training.employee_id WHERE training.course = 'Diversity and Inclusion' GROUP BY training.course;", |
| "SELECT \"Ends Won\" FROM table_1_25718552_2 WHERE \"Ends Won\" = '30'", |
| "SELECT name FROM poker_player;", |
| "SELECT AVG(num_refugees) FROM refugee_data;", |
| "SELECT \"Series\" FROM table_2_14173105_11 WHERE \"Game\" = '1'", |
| "SELECT name FROM conductor WHERE age = (SELECT MAX(age) FROM conductor);", |
| "SELECT COUNT(business_id) FROM local_businesses WHERE city = 'Madrid' AND virtual_experience = true;", |
| "SELECT \"Commodity\" FROM table_2_1057262_1 WHERE \"2001-02\" = '1,725'", |
| "SELECT AVG(Age) FROM (SELECT PetID FROM Pets WHERE PetType != 'cat' UNION SELECT PetID FROM Pets WHERE PetType != 'dog') AS PetPet;", |
| "SELECT AVG(member_count) FROM UnionMembers WHERE country IN ('USA', 'UK');", |
| "SELECT \"Position\" FROM table_2_17694624_2 WHERE \"Player\" = 'tomasz kie\u0142bowicz'", |
| "SELECT \"Air_Date\" FROM news_readership WHERE topic = 'TV_series' AND country = 'India' AND series_name = 'A Love of a Lifetime'", |
| "SELECT name FROM urban_agriculture_initiatives WHERE location = 'Montreal' AND area_ha > 0.5;", |
| "SELECT \"Fastest Lap\" FROM table_1_26920192_5 WHERE \"Winning Driver\" = 'Giorgio Sanna' AND \"Winning Team\" = 'CAAL Racing'", |
| "SELECT SUM(SURFACE AREA) FROM `countrylanguage` WHERE `CountryCode` IN ('AS', 'EU');", |
| "SELECT species.name, species.population, species.growth_rate FROM species JOIN protected_areas ON species.id = protected_areas.id WHERE species.population > (SELECT AVG(growth_rate) FROM protected_areas) AND species.id IN (SELECT id FROM species WHERE population > 1000);", |
| "SELECT \"2009\" FROM table_2_16741821_7 WHERE \"2012\" = 'statistics by surface'", |
| "SELECT Template_ID FROM Templates WHERE Template_Type_Description = 'Presentation'", |
| "SELECT COUNT(DISTINCT incident_id) FROM diversity_incidents WHERE region_id = 1 AND incident_date >= '2020-01-01' AND incident_date < '2020-02-01' AND region_id != 2;", |
| "SELECT AVG(\"Year\") FROM table_2_1236063_3 WHERE \"Engine\" = 'offenhauser l4' AND \"Chassis\" = 'Belanger Motors'", |
| "SELECT student_enrolment_id, first_name, middle_name, last_name FROM Student_Enrolment WHERE student_id = 1", |
| "SELECT state, COUNT(*) FROM complaints WHERE service IN ('Mobile', 'Broadband') GROUP BY state;", |
| "SELECT opponents_in_final FROM news_readership WHERE \"Outcome\" = 'runner-up' AND \"Date\" = 'april 16, 2006'", |
| "SELECT model, SUM(CASE WHEN miles_per_gallon > 15 THEN 1 ELSE 0 END) AS \"max_mpg\" FROM \"car_makers\" WHERE country = 'germany' GROUP BY model HAVING SUM(CASE WHEN miles_per_gallon > 15 THEN 1 ELSE 0 END) = 15;", |
| "SELECT contacts.name FROM contacts WHERE contacts.sector = 'refugee support' AND contacts.name LIKE 'John Doe';", |
| "SELECT \"Opponent\" FROM table_1_24786958_2 WHERE \"Attendance\" = '30701'", |
| "SELECT airline FROM news_readership WHERE country = 'India' GROUP BY airline ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT AVG(sustainability_score) FROM garment_data_2 WHERE collection = 'Autumn 2021';", |
| "SELECT \"Score in the final\" FROM table_2_18797830_2 WHERE \"Surface\" = 'clay' AND \"Date\" = '18 april 2011'", |
| "SELECT COUNT(DISTINCT visitor_ID) FROM visit WHERE age < 30;", |
| "SELECT type, AVG(length) FROM routes WHERE route_name = 'Riverfront - Northside' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR route_name = 'Southside - Airport' OR", |
| "SELECT \"Driver\" FROM table_2_17256038_1 WHERE \"Points\" = '50+3'", |
| "SELECT MIN(grade) FROM (SELECT student_id, MIN(friend_id) as min_friend_id FROM Highschooler) as min_grade;", |
| "SELECT continent, SUM(international_tourists) FROM international_tourists WHERE country = 'Portugal' AND arrival_year = 2020 GROUP BY continent;", |
| "SELECT \"Cytoplasm\" FROM table_1_13570_1 WHERE \"Specifically stains\" = 'Pink cytoplasm'", |
| "SELECT MAX(`death`), MIN(`death`) FROM `death` WHERE `result` = 'Killed'", |
| "SELECT disease, location, year, reported FROM measles_reports WHERE disease = 'Measles' AND location = 'Brazil' AND year = 2014;", |
| "SELECT \"County\" FROM table_2_16489766_8 WHERE \"Chinese\" = '\u65b0\u7af9'", |
| "SELECT MAX(Sum('Share')) as MaxShare, MIN(Sum('Share')) as MinShare FROM news_readership WHERE country = 'India'", |
| "SELECT SUM(amount) FROM climate_finance_projects WHERE region = 'Asia' AND year < 2015 AND sector = 'afforestation';", |
| "SELECT \"Home team\" FROM table_2_1059743_7 WHERE \"Away team\" = 'al-ain fc' AND \"Year\" = '2002/03'", |
| "SELECT email_address, cell_number, home_phone FROM professionals WHERE professional_id IN (SELECT `professional_id` FROM `Professionals`);", |
| "SELECT union_name FROM union_members WHERE member_count > 5000;", |
| "SELECT \"Wins\" FROM table_2_1861463_2 WHERE \"Class\" = '500cc' AND \"Year\" = '1979'", |
| "SELECT \"Maker\", \"Model\" FROM \"car_makers\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"Maker\", \"Model\" UNION BY \"", |
| "SELECT SUM(Cost) FROM SupportPrograms WHERE Region = 'West' UNION SELECT SUM(Cost) FROM Accommodations WHERE Region = 'West';", |
| "SELECT \"Directed by\" FROM news_readership WHERE \"U.S. viewers (millions)\" = '15.15'", |
| "SELECT `Production_code`, `Channel` FROM `cartoon` WHERE `Air_Date` = '2022-10-01'", |
| "SELECT SUM(savings) FROM WaterConservationInitiatives_Rio WHERE year = 2019 AND savings > 1200000;", |
| "SELECT \"2nd leg\" FROM table_2_16218722_2 WHERE \"1st leg\" = '2\u20130'", |
| "SELECT `Weekly_Rank` FROM news_readership WHERE `title` = 'A Love of a Lifetime'", |
| "SELECT coin, total_supply FROM crypto_supply WHERE coin IN ('Bitcoin', 'Ethereum')", |
| "SELECT \"Location of the Church\" FROM table_1_178408_1 WHERE \"Parish ( Prestegjeld )\" = 'Bremanger'", |
| "SELECT `created` FROM `VOTES` WHERE `state` = 'CA'", |
| "SELECT StudentID, RequestDate, ApprovalStatus FROM AccommodationRequests WHERE RequestDate >= '2021-01-01' AND RequestDate < '2021-04-01' AND RequestDate IN ('2021-01-01', '2021-02-01', '2021-03-01', '2021-04-01') AND DisabilityType = 'Visual Impairment'", |
| "SELECT \"Away team\" FROM news_readership WHERE \"Tie no\" = '15'", |
| "SELECT citizenship FROM singer WHERE birth_year < 1945 INTERSECT SELECT citizenship FROM singer WHERE birth_year > 1955;", |
| "SELECT program_name, SUM(income) as total_income, SUM(expenses) as total_expenses FROM FinancialWellbeingPrograms WHERE country = 'Australia' GROUP BY program_name;", |
| "SELECT \"UU-USU score\" FROM table_1_13665809_2 WHERE \"Winner\" = 'Brigham Young (2\u20130)'", |
| "SELECT title FROM tv_series WHERE series_name = 'Sky Radio'", |
| "SELECT AVG(energy_output) FROM renewable_energy WHERE energy_type = 'Wind';", |
| "SELECT \"TFL-Yds\" FROM news_readership WHERE \"No.-Yds\" = '1-0'", |
| "SELECT nationality FROM people GROUP BY nationality HAVING COUNT(*) = 1;", |
| "SELECT city FROM conferences WHERE conference_id IN (SELECT id FROM ethical_ai_topics);", |
| "SELECT \"Year\" FROM table_2_17817954_1 WHERE \"Runner-up\" = 'Peter Fleming' AND \"Champion\" = 'Ilie N\u0103stase'", |
| "SELECT student_id FROM Highschooler WHERE (SELECT COUNT(DISTINCT friend_id) FROM Friend WHERE student_id = Friend.student_id) > 0;", |
| "SELECT OCEAN, AVG(AVERAGE_DEPTH) FROM OCEAN_DEPTHS WHERE AVERAGE_DEPTH > 3000 ORDER BY OCEAN;", |
| "SELECT COUNT(\"Years participated\") FROM table_1_1571238_2 WHERE \"Team\" = 'Notre Dame'", |
| "SELECT COUNT(DISTINCT Template_ID) FROM Templates;", |
| "SELECT developer_name, COUNT(dapps.id) AS decentralized_applications FROM developers dapps INNER JOIN dapps.developer_id ON dapps.id = dapps.developer_id INNER JOIN dapps.dapp_category ON dapps.dapp_category = dapps.dapp_category AND dapps.dapp_platform = dapps.dapp_platform AND dapps.developer_id = dapps.developer_id WHERE dapps.developer_location = 'Blockchain' GROUP BY developer_name ORDER BY decentralized_applications DESC LIMIT 3;", |
| "SELECT \"Volume:Issue\" FROM news_readership WHERE \"Artist\" = 'elton john' AND \"Weeks on Top\" = '4'", |
| "SELECT countryCode, ROUND(SUM(CASE(CASE WHEN countryCode IN 'AFG', 1, 0) * 1000000, 1) * 1000000 / (SELECT COUNT(*) FROM country WHERE countryCode = 'AFG'), 1) AS largestSpanishPercentage FROM country WHERE countryCode IN 'AFG' GROUP BY countryCode;", |
| "SELECT City, SUM(WorkoutID) FROM Workouts GROUP BY City HAVING SUM(WorkoutID) > (SELECT SUM(WorkoutID) FROM Workouts WHERE City = 'New York') ORDER BY SUM(WorkoutID) DESC LIMIT 3;", |
| "SELECT \"Location\" FROM table_1_262481_2 WHERE \"Institution\" = 'Fisk University'", |
| "SELECT \"Birth_Year\", \"Citizenship\" FROM \"singer\" WHERE \"Name\" = 'Liliane Bettencourt'", |
| "SELECT species, volume FROM timber_production WHERE year = 2000 ORDER BY volume DESC;", |
| "SELECT \"Year\" FROM table_1_2199290_2 WHERE \"Partner\" = 'Wesley Moodie'", |
| "SELECT countryCode, language, ROUND(SUM(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(CASE(C", |
| "SELECT SUM(Biomass) FROM Farm WHERE WaterTemperature > 25 AND FarmID = 1;", |
| "SELECT partner FROM table_2_15272585_7 WHERE opponent = 'micha\u00eblla krajicek eleni daniilidou'", |
| "SELECT year, COUNT(*) FROM matches WHERE country IN ('India', 'Argentina') GROUP BY year;", |
| "SELECT COUNT(name) FROM renewable_count WHERE location = 'Country R';", |
| "SELECT \"Venue\" FROM table_2_10775038_9 WHERE \"Away team\" = 'collingwood'", |
| "SELECT COUNT(DISTINCT \"CountryCode\") FROM `country` WHERE \"CountryCode\" IN ('AFG', 'AND', 'ANT', 'NLD', 'NVB', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA', 'PRA", |
| "SELECT AVG(ingredients) FROM LunchMenu WHERE dish_type = 'vegetarian' AND ingredients LIKE '%vegetation';", |
| "SELECT \"Departure\" FROM table_2_14313164_2 WHERE \"Station Code\" = 'CNB'", |
| "SELECT section_name FROM `Transcripts` WHERE `section_name` = 'voluptatem' ORDER BY `section_name` DESC;", |
| "SELECT SUM(price) FROM Artworks WHERE artist_name = 'Gustav Klimt' AND period = 'Art Nouveau';", |
| "SELECT \"Player\" FROM news_readership WHERE \"Pick\" = '145'", |
| "SELECT country, population, name, leader FROM `country` WHERE `CountryCode` = 'AFG'", |
| "SELECT COUNT(DISTINCT product_id) FROM products WHERE fair_trade = true;", |
| "SELECT \"Apps\" FROM table_2_1399716_2 WHERE \"Club\" = 'interNT' AND \"National team\" = 'brazil'", |
| "SELECT COUNT(DISTINCT teacher.Terms) FROM teacher WHERE teacher.Terms LIKE 'Teacher%' OR teacher.Terms LIKE 'Teacher %';", |
| "SELECT SUM(amount) FROM oceanographic_research_grants;", |
| "SELECT \"Home team score\" FROM table_2_10784349_1 WHERE \"Venue\" = 'princes park'", |
| "SELECT state FROM `Owners` WHERE `owner_id` IN (SELECT `owner_id` FROM `Professionals`) INTERSECT SELECT `state` FROM `Owners`", |
| "SELECT publish_date, SUM(word_count) FROM News WHERE publish_date >= '2023-02-01' AND publish_date < '2023-02-22' GROUP BY publish_date;", |
| "SELECT \"Venue\" FROM table_2_1670921_2 WHERE \"Batting team\" = 'West Indies'", |
| "SELECT AVG(Age) FROM (SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT PetID FROM Pets WHERE PetType = 'cat' UNION SELECT PetID FROM Pets WHERE PetType = 'dog' UNION SELECT", |
| "SELECT AVG(age) FROM Artists WHERE art = 'Painter';", |
| "SELECT MIN(\"Attendance\") FROM table_2_16864968_8 WHERE \"Record\" = '31\u201332\u201313' AND \"Attendance\" > '19,356'", |
| "SELECT model FROM car_makers WHERE Min(Horsepower) = '1'", |
| "SELECT visitors FROM tourism_stats WHERE destination = 'Australia' AND year = 2018;", |
| "SELECT rank FROM news_readership WHERE country = 'India' AND \"Points defending\" = '900'", |
| "SELECT MAX(Dog.age) FROM Dogs;", |
| "SELECT AVG(rating) FROM hotels WHERE country = 'USA' AND virtual_tour = true;", |
| "SELECT \"Date\" FROM table_2_1200987_2 WHERE \"Result\" = '3-1'", |
| "SELECT year, AVG(CarsData.Mpg) FROM cars_data WHERE CountryId = 3 GROUP BY Year, CountryId, Cylinders, Edispl, Horsepower, Weight, Accelerate, Year, Country FROM cars_data WHERE CountryId = 3;", |
| "SELECT contributor, recycling_rate FROM waste_contributors ORDER BY recycling_rate ASC LIMIT 3;", |
| "SELECT \"Team\" FROM table_1_28628309_8 WHERE \"Category\" = 'Blocks per game'", |
| "SELECT country FROM tv_channel WHERE series_name LIKE 'TV Channel%' AND name LIKE '%TV Channel%' AND name LIKE '%written by Todd Casey%'", |
| "SELECT r.region_id, AVG(m.carbon_footprint) AS avg_carbon_footprint FROM regions r JOIN manufacturers m ON r.id = m.region_id WHERE r.id IN (SELECT id FROM manufacturers WHERE name LIKE 'Manufacturer%') GROUP BY r.region_id;", |
| "SELECT MAX(\"Year\") FROM table_2_10539018_1 WHERE \"Champion\" = 'marcel granollers'", |
| "SELECT country, COUNT(DISTINCT population) FROM news_readership WHERE country IN (SELECT country FROM news_readership GROUP BY country HAVING COUNT(*) = 3) GROUP BY country HAVING COUNT(*) = 3", |
| "SELECT SUM(participants) FROM employee_training_pacific WHERE region = 'Pacific' AND training = 'Disability Awareness';", |
| "SELECT \"Score\" FROM table_2_18285768_11 WHERE \"Date\" = '11 September 2010'", |
| "SELECT name FROM poker_player WHERE Earnings > 0 ORDER BY Earnings DESC", |
| "SELECT COUNT(DISTINCT program_id) FROM donation_programs;", |
| "SELECT \"Player\" FROM table_2_18811509_3 WHERE \"Country\" = 'united states' AND \"Total\" > '145'", |
| "SELECT 'AKO' FROM airports WHERE country = 'USA'", |
| "SELECT warehouse_name, warehouse_capacity FROM Warehouses WHERE warehouse_country = 'Canada';", |
| "SELECT \"Time ( ET )\" FROM table_1_14477002_1 WHERE \"Opponent\" = 'Cincinnati Bengals'", |
| "SELECT Template_Type_Code, Template_Type_Description FROM Ref_Template_Types;", |
| "SELECT therapy, COUNT(*) FROM patients WHERE therapy = 'CBT' GROUP BY therapy ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT \"Episode\" FROM news_readership WHERE \"Order\" = '1'", |
| "SELECT AVG(CASE WHEN `caused_by_ship_id` = 1 THEN 0 ELSE 1 END) AS \"average_injuries\", AVG(CASE WHEN `caused_by_ship_id` = 2 THEN 0 ELSE 1 END) AS \"average_killed\" FROM \"battle\" WHERE `country` = 'India' AND `result` = 'Victory'", |
| "SELECT SUM(R Revenue) FROM Revenue R WHERE Country = 'South America';", |
| "SELECT \"Driver\" FROM table_2_1122092_1 WHERE \"Laps\" > '35' AND \"Constructor\" = 'ferrari'", |
| "SELECT citizenship, COUNT(singer_id) FROM singer WHERE citizenship IN ('France', 'United States') GROUP BY citizenship;", |
| "SELECT SUM(vehicles FROM sales WHERE Sales_Sequences.Sales_Sequences.id = Sales_Sequences.id AND Sales_Sequences.id IN (SELECT id FROM vehicles WHERE Vehicle_Type = 'electric') AND Sales_Sequences.id = 1 AND Sales_Sequences.region_id = 1;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Record\" = '1-0'", |
| "SELECT COUNT(DISTINCT \"Continent\") FROM \"countries\";", |
| "SELECT city, AVG(water_consumption) FROM (SELECT city, water_consumption, ROW_NUMBER() OVER (PARTITION BY city ORDER BY year) as r FROM asia_water_consumption WHERE city IN ('Tokyo', 'Seoul') AND year = 2019) as sub WHERE r > 0 GROUP BY city;", |
| "SELECT SUM(\"Total\") FROM table_2_18164300_3 WHERE \"Gold\" > '1' AND \"Silver\" > '2' AND \"Rank\" < '1'", |
| "SELECT country, \"fiat\" FROM \"car_makers\" WHERE \"MPG\" > '3' OR \"Model\" = 'fiat'", |
| "SELECT renewable_energy.capacity FROM renewable_energy WHERE renewable_energy.country IN ('Canada', 'Chile', 'Colombia', 'US', 'Mexico');", |
| "SELECT \"Score\" FROM table_2_16802194_2 WHERE \"Winning Team\" = 'sydney roosters' AND \"Total\" = '88'", |
| "SELECT year FROM concert WHERE country = 'India' GROUP BY year ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT state, AVG(safety_score) FROM chemical_plants WHERE location = 'US-NY' AND num_inspections > 10 GROUP BY state;", |
| "SELECT \"Result\" FROM table_1_14302582_1 WHERE \"Result\" = '4-1'", |
| "SELECT student_id, COUNT(friend_id) as num_friends FROM Highschooler WHERE country = 'India' GROUP BY student_id", |
| "SELECT vendor, AVG(price) FROM sales WHERE species = 'Salmon' GROUP BY vendor HAVING AVG(price) = (SELECT AVG(price) FROM sales WHERE species = 'Salmon') AND price > 15.99;", |
| "SELECT MIN(RANK) FROM (SELECT \"Rank\" FROM news_readership WHERE \"Map Reference Number\" = '22' AND \"Census Statistical Area\" = '117,201' ORDER BY \"Rank\" ASC LIMIT 1) AS T1;", |
| "SELECT country, MIN(CountryCode) AS SmallestCode, MIN(Population) AS SmallestPopulation FROM `country` GROUP BY `CountryCode` HAVING MIN(CountryCode) = MIN(Population)", |
| "SELECT COUNT(*) FROM FoodSafetyRecords WHERE UpdateDate >= '2022-01-01' AND UpdateDate < '2022-03-31';", |
| "SELECT city FROM table_2_1083851_3 WHERE \"2011\u201312 season\" = '2nd in lega pro seconda divisione a' AND \"City\" = 'Trapani'", |
| "SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age", |
| "SELECT SUM(weight) FROM shipments WHERE origin = 'Canada' AND destination = 'United States' AND shipped_at >= '2021-01-01' AND shipped_at < '2021-01-05';", |
| "SELECT \"Kit manufacturer\" FROM table_2_1269274_1 WHERE \"Shirt sponsor\" = 'walkers'", |
| "SELECT AVG(LifeExpectancy) FROM `country` WHERE `Continent` = 'Central Africa'", |
| "SELECT MAX(score) FROM scores;", |
| "SELECT \"Grid\" FROM table_1_20159025_1 WHERE \"Part 3\" = 'Heikki Kovalainen'", |
| "SELECT name FROM country WHERE countryCode = 'AFG' AND population = (SELECT MIN(population) FROM population WHERE countryCode = 'AFG')", |
| "SELECT SUM(value) FROM defense_contracts WHERE company = 'XYZ Inc.';", |
| "SELECT \"High points\" FROM table_1_13812785_8 WHERE \"Date\" = 'March 13'", |
| "SELECT year, AVG(CAST(Country as integer) as Country, AVG(City as integer) as City, AVG(Country as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country, AVG(City as integer) as Country,", |
| "SELECT org, SUM(patent_count) FROM innovation_patents WHERE patent_count > 0 GROUP BY org;", |
| "SELECT \"Written by\" FROM table_1_2453243_5 WHERE \"No. in series\" = '48'", |
| "SELECT COUNT(DISTINCT \"Model\") FROM car_makers WHERE \"Maker\" = 'American Motor Company'", |
| "SELECT AVG(safety_rating) FROM creative_ai WHERE safety_rating > 75;", |
| "SELECT MAX(\"Crowd\") FROM table_2_10773616_3 WHERE \"Venue\" = 'Windy Hill'", |
| "SELECT COUNT(DISTINCT student_id) FROM Highschooler;", |
| "SELECT MAX(property_price) FROM sustainable_communities;", |
| "SELECT AVG(\"Rank\") FROM table_2_12433325_1 WHERE \"Source\" = 'CIA World Factbook' AND \"Year\" < '2005'", |
| "SELECT citizenship, COUNT(s.singer_id) FROM news_readership WHERE country = 'India' GROUP BY citizenship UNION BY citizenship HAVING COUNT(s.singer_id) > 1", |
| "SELECT SUM(population) FROM marine_species WHERE location = 'Pacific';", |
| "SELECT \"Broadcast network\" FROM table_1_21076286_2 WHERE \"Broadcast scope\" = 'Chiba Prefecture'", |
| "SELECT MAX(\"transcript_date\") FROM \"Transcripts\";", |
| "SELECT metric FROM ReverseLogistics WHERE date >= '2023-01-01' AND date < '2023-01-20' AND metric = '2023-01-05';", |
| "SELECT \"City of License\" FROM table_2_12525402_1 WHERE \"Founded\" = 'may 1995'", |
| "SELECT abbreviation, country FROM news_readership WHERE country IN ('United States', 'Canada') GROUP BY abbreviation, country ORDER BY COUNT(*) - ROW_NUMBER() OVER (ORDER BY SUM(COUNT(CASE WHEN (SELECT COUNT(*) FROM news_readership WHERE country = 'United States' AND readership = 1 THEN 1 END) = 1 THEN 0 END) = 0 THEN 1 END) DESC) DESC, SUM(CASE WHEN (SELECT COUNT(*) FROM news_readership WHERE country = 'United States' AND readership = 1 THEN 1 END) = 1 THEN 0 END) = 0 THEN 1 END) DESC, SUM(CASE WHEN (SELECT COUNT(*) FROM news_readership WHERE country = 'United States' AND readership = 1 THEN 1 END) = 1 THEN 0 END) = 0 THEN 1 END) DESC, SUM(CASE WHEN (SELECT COUNT(*) FROM news_readership WHERE country = 'United States' AND readership = 1 THEN 1 END) = 1 THEN 0 END) = 0 THEN 1 END) DESC, SUM(CASE WHEN (SELECT COUNT(*) FROM news_readership WHERE country = 'United States' AND readership = 1 THEN 1 END) = 1 THEN 0 END) = 0 THEN 1 END) DESC FROM news_readership;", |
| "SELECT AVG(amount) FROM budget WHERE fiscal_year >= 2019 AND fiscal_year <= 2021 AND category = 'Cybersecurity';", |
| "SELECT \"Location Attendance\" FROM table_1_23281862_5 WHERE \"Team\" = 'Memphis'", |
| "SELECT `contestant_name`, COUNT(`contestant_number`) FROM `CONTESTANTS` WHERE `vote_id` > 0 AND `vote_id` > 2 GROUP BY `contestant_name` HAVING COUNT(`contestant_number`) > 1", |
| "SELECT country, COUNT(program) FROM community_education GROUP BY country;", |
| "SELECT COUNT(\"Tariff code\") FROM news_readership WHERE \"BTs retail price (regulated)\" = '2.553p/min'", |
| "SELECT MIN(Earnings) FROM poker_player WHERE people_id = 1", |
| "SELECT AVG(sales_amount) FROM sales_by_time WHERE item_id = 1;", |
| "SELECT COUNT(\"Drawn\") FROM table_2_12886178_5 WHERE \"Club\" = 'senghenydd rfc'", |
| "SELECT \"city\" FROM \"employee\" WHERE \"city\" IN ('Bristol', 'Tehtaan kentt\u00e4', 'Helsinki', 'Hakij\u00e4r\u00f6', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki', 'Helsinki", |
| "SELECT AVG(investment_amount) FROM investment_regions WHERE region = 'Asia';", |
| "SELECT \"Chinese title\" FROM table_1_24856090_1 WHERE \"HK viewers\" = '1.97 million'", |
| "SELECT \"name\", \"nation\" FROM \"singer_in_concert\" WHERE \"song_name\" = 'Hey'", |
| "SELECT game, SUM(playtime) FROM game_platforms WHERE game = 'Game1' AND platform = 'PC' OR platform = 'Console' OR platform = 'Mobile' GROUP BY game;", |
| "SELECT \"Lost\" FROM table_2_13564637_3 WHERE country = 'India'", |
| "SELECT MIN(s.earliest_date_of_transcript_release), s.transcript_details FROM (SELECT MIN(s.earliest_date_of_transcript_release) as earliest_date_of_transcript_release, MIN(s.transcript_details) as transcript_details FROM Student_Enrolment s) as s;", |
| "SELECT country, SUM(production) FROM Europe_Aquaculture_Farms WHERE country IN ('Norway', 'United Kingdom', 'France', 'Spain') GROUP BY country;", |
| "SELECT \"Show Name\" FROM table_2_18992167_1 WHERE \"News Freq\" = '60 Minutes'", |
| "SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(likes.readership) as total_likes FROM (SELECT name, SUM(", |
| "SELECT COUNT(tram_id) FROM electric_trams WHERE service_date >= '2021-01-01' AND service_date < '2021-12-31' AND in_service > 0;", |
| "SELECT COUNT(\"Round\") FROM table_2_10663439_2 WHERE \"Date\" = 'May 31'", |
| "SELECT country, COUNT(DISTINCT \"CountryId\") FROM \"car_makers\" WHERE \"CountryName\" IN (SELECT \"CountryName\" FROM \"car_makers\" WHERE \"Country\" IN (SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'australia' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'uk' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'russia' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'japan' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'china' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'india' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'baltic' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'fars' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'latv' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'slovakia' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'czechoslovakia' UNION SELECT \"ContId\" FROM \"car_makers\" WHERE \"Continent\" = 'czechoslovakia' UNION SELECT \"ContId\" FROM \"", |
| "SELECT SUM(NumberOfGames) FROM GameDesigners WHERE Gender != 'Non-binary';", |
| "SELECT \"RANK\" FROM table_2_15551831_1 WHERE \"NAME\" = 'Peter Schmeichel'", |
| "SELECT song.Singer_ID, SUM(CASE WHEN song.Singer_ID = 'Liliane Bettencourt' THEN song.sales ELSE 0 END) as Total_Sales FROM song WHERE song.Singer_ID IN (SELECT Singer_ID FROM singer) GROUP BY song.Singer_ID;", |
| "SELECT product_name, site_safety_score FROM korean_products WHERE country = 'South Korea' AND total_sales = (SELECT MIN(total_sales) FROM korean_products WHERE country = 'South Korea' AND product_name = 'Product U');", |
| "SELECT SUM(\"1. vs 2.\") FROM table_2_1792861_21 WHERE \"Total\" > '28' AND \"1. vs 2.\" = '1' AND \"2. vs 3.\" = '8'", |
| "SELECT AVG(r.rank) FROM (SELECT r.player_id, r.rank, ROW_NUMBER() OVER (ORDER BY r.rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank, ROW_NUMBER() OVER (ORDER BY rank) as rank FROM (SELECT player_id, rank,", |
| "SELECT SUM(investment_amount) FROM investments WHERE investor_country = 'Canada' AND investment_year = 2020;", |
| "SELECT \"Transfers\" FROM table_2_1249707_1 WHERE \"Distance (km)\" > '36.5' AND \"Station Name\" = 'guangximen'", |
| "SELECT Template_Type_Code, COUNT(*) FROM (SELECT Template_Type_Code, COUNT(*) AS Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, ROW_NUMBER() OVER (PARTITION BY Template_Type_Code ORDER BY Template_Count DESC) AS Template_Rank FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_Type_Description, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_TypeDescription, Template_Count FROM (SELECT Template_Type_Code, Template_Type", |
| "SELECT category, SUM(projectCost) FROM Projects GROUP BY category;", |
| "SELECT \"Plan name\" FROM table_2_12837399_1 WHERE \"Maximum download speed/ kbps\" = '300, 500, 750, 1000'", |
| "SELECT AVG(Capacity), MAX(Capacity) FROM \"stadium\"", |
| "SELECT year, COUNT(*) FROM students WHERE disability = true AND year >= 2018 GROUP BY year, 1 UNION ALL SELECT year, COUNT(*) FROM students WHERE disability = false AND year >= 2018 GROUP BY year, 2;", |
| "SELECT COUNT(DISTINCT \"Users (#)\") FROM news_readership WHERE \"Del Este\" = 'Nisibon-Yuma' AND \"Country\" = 'India'", |
| "SELECT model FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT(model) FROM car_makers WHERE (SELECT COUNT", |
| "SELECT species, AVG(water_temperature) FROM fish_tanks GROUP BY species;", |
| "SELECT \"Title\" FROM table_1_2345558_1 WHERE \"Original air date\" = '1.370'", |
| "SELECT COUNT(DISTINCT student_id) FROM Highschooler;", |
| "SELECT name, SUM(donation_amount) FROM nonprofits WHERE state IN ('California', 'Texas') AND program IN ('Education', 'Health') GROUP BY name HAVING COUNT(DISTINCT program) = 1;", |
| "SELECT COUNT(\"Game\") FROM table_2_13619105_3 WHERE \"Team\" = 'chicago'", |
| "SELECT name FROM conductor WHERE year_of_work DESC;", |
| "SELECT MIN(transaction_amount) FROM transactions WHERE asset_id = 'ETH';", |
| "SELECT \"Nationality\" FROM news_readership WHERE \"Position\" = 'Forward' AND \"Year\" > '2005'", |
| "SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"loser\" = 'L' OR \"loser\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"loser\" = 'L' OR \"loser\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"loser\" = 'L' OR \"loser\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"loser\" = 'L' OR \"loser\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"loser\" = 'L' OR \"loser\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"loser\" = 'L' OR \"loser\" = 'W' UNION SELECT AVG(Last_Name) FROM matches WHERE \"winner\" = 'L' OR \"winner\"", |
| "SELECT college_name, gender, SUM(CASE WHEN gender = 'Male' THEN 1 ELSE 0 END) AS female_males, SUM(CASE WHEN gender = 'Female' THEN 1 ELSE 0 END) AS male_females FROM college WHERE gender = 'Female' GROUP BY college_name, gender;", |
| "SELECT COUNT(\"Song choice\") FROM table_1_15383430_1 WHERE \"Song choice\" = 'Queen'", |
| "SELECT f.name FROM Friend f WHERE f.student_id = 1381", |
| "SELECT facility_name, safety_officer_name, safety_officer_email FROM facilities WHERE facility_name LIKE 'Facility%' OR facility_name LIKE 'Facility A%';", |
| "SELECT \"Position\" FROM table_1_16575609_5 WHERE \"Pick #\" = '34'", |
| "SELECT visitor_id, name, age FROM (SELECT visitor_ID, name, age FROM visitor WHERE (SELECT COUNT(DISTINCT visitor_ID) FROM visit WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (SELECT COUNT(DISTINCT museum_ID) FROM museum WHERE (", |
| "SELECT region, SUM(CASE WHEN plan = 'PlanA' THEN 1 ELSE 0 END) + SUM(CASE WHEN plan = 'PlanB' THEN 1 ELSE 0 END) + SUM(CASE WHEN plan = 'PlanC' THEN 1 ELSE 0 END) + SUM(CASE WHEN plan = 'PlanD' THEN 1 ELSE 0 END) FROM mobile_subscribers WHERE region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = 'urban' OR region = 'rural' OR region = '", |
| "SELECT MIN(\"8-car sets\") FROM table_1_19255192_1 WHERE \"4-car sets\" = '47'", |
| "SELECT name, COUNT(*) as likes FROM Highschooler WHERE likes > 0 GROUP BY name;", |
| "SELECT country, (amount * 0.01) / gdp as spending_percentage FROM military_expenditure WHERE year = 2020 AND country IN ('USA', 'India', 'Argentina', 'Brazil', 'China', 'Japan', 'Korea');", |
| "SELECT round FROM table_2_14323142_16 WHERE \"Player\" = 'jamie cooke'", |
| "SELECT country, MIN(CAST(population AS INT) AS INT)) as 'Lowest Population' FROM `country` WHERE population = (SELECT MIN(population) FROM `country`);", |
| "SELECT SUM(steps) FROM DailySteps WHERE activity_date >= '2021-01-01' AND activity_date < '2021-02-01' AND user_id IN (SELECT user_id FROM DailySteps WHERE activity_date >= '2021-01-01' AND activity_date < '2021-02-01');", |
| "SELECT \"Position\" FROM news_readership WHERE \"Player\" = 'Alun Wyn Jones'", |
| "SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (SELECT rank FROM (", |
| "SELECT asset_id, SUM(CASE WHEN vulnerability_title LIKE 'SQL' THEN 1 ELSE 0 END) AS num_vulnerabilities FROM assets JOIN vulnerabilities ON assets.asset_id = vulnerabilities asset_id WHERE assets.asset_id = 1 UNION SELECT asset_id, SUM(CASE WHEN vulnerability_title LIKE 'SQL' THEN 1 ELSE 0 END) FROM assets JOIN vulnerabilities ON assets.asset_id = vulnerabilities asset_id WHERE assets.asset_id = 2;", |
| "SELECT \"Lead\" FROM table_2_16774316_1 WHERE \"Season\" = '2004-05'", |
| "SELECT Document_ID FROM Documents GROUP BY Document_ID ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT SUM(engaged_in_sustainable_tourism) FROM visitors WHERE year = 2020 AND country = 'Canada';", |
| "SELECT \"Institution\" FROM table_1_1974632_1 WHERE \"Location\" = 'Glenside, Pennsylvania'", |
| "SELECT teacher.Name, COUNT(course.id) as \"Number of Courses\" FROM teacher INNER JOIN course ON teacher.Teacher_ID = course.Teacher_ID GROUP BY teacher.Name;", |
| "SELECT species, quantity FROM FarmB WHERE country = 'Canada';", |
| "SELECT \"2012\" FROM table_2_15209530_6 WHERE \"Tournament\" = 'us open'", |
| "SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (SELECT Template_Type_Code, Template_Type_Description FROM (", |
| "SELECT policy_id, SUM(insured) FROM policy_info WHERE sum_insured < 60000 AND gender = 'Female' GROUP BY policy_id;", |
| "SELECT \"Winner\" FROM news_readership WHERE \"Win #\" > '3'", |
| "SELECT COUNT(DISTINCT \"Model\") FROM \"car_makers\" WHERE \"Country\" = 'united states'", |
| "SELECT AVG(age) FROM events JOIN attendees ON events.id = attendees.id WHERE type = 'Family Workshop' AND event_id IN (SELECT id FROM events WHERE name LIKE 'Family Workshop');", |
| "SELECT \"Date of appointment\" FROM table_2_16075179_6 WHERE \"Manner of departure\" = 'Resigned' AND \"Replaced by\" = 'Sandy Clark'", |
| "SELECT orchestra, year FROM orchestra WHERE orchestra IS NOT NULL ORDER BY year DESC;", |
| "SELECT name, (depleted_resources / total_resources) * 100 AS percentage_depleted FROM mines WHERE resource = 'Coal';", |
| "SELECT \"Position\" FROM table_2_1577834_1 WHERE \"League\" = 'southern league premier division' AND \"Season\" = '2004\u201305'", |
| "SELECT \"TV_series\" FROM news_readership WHERE country = 'India' AND \"Language\" != 'English'", |
| "SELECT COUNT(exhibitions.work_id) FROM exhibitions WHERE exhibitions.year = 1950;", |
| "SELECT \"Make\" FROM table_1_27940569_1 WHERE \"Driver\" = 'Jeff Gordon'", |
| "SELECT Template_ID, Version_Number, Template_Type_Code, CASE WHEN Template_Type_Code = 'PPT' THEN 'PPT' ELSE 'PDF' END as PPT_Type_Code, CASE WHEN Template_Type_Code = 'PDF' THEN 'PDF' ELSE 'PDF' END as PDF_Type_Code FROM Templates;", |
| "SELECT Name, Location FROM HeritageSites WHERE TotalDonations DESC LIMIT 3;", |
| "SELECT \"Team 1\" FROM table_2_12330040_2 WHERE \"Team 2\" = 'far rabat'", |
| "SELECT district, COUNT(DISTINCT population) FROM city WHERE population > (SELECT AVG(population) FROM city) GROUP BY district HAVING COUNT(DISTINCT population) > (SELECT AVG(population) FROM city);", |
| "SELECT COUNT(DISTINCT student_id) FROM accommodations WHERE accommodation_category = 'Online Learning';", |
| "SELECT Class FROM news_readership WHERE \"Year made\" = '1899\u20131900'", |
| "SELECT model FROM \"car_makers\" WHERE (SELECT \"MPG\" FROM \"car_makers\" WHERE \"Maker\" = 'General Motors' OR \"Weight\" > 3500) = 'GM' OR \"Weight\" > 3500;", |
| "SELECT region, MAX(amount) FROM Budget WHERE category = 'Transportation' GROUP BY region;", |
| "SELECT \"Hub Base Class\" FROM table_1_1153898_1 WHERE \"Comparisons\" = 'wireless combo keyboard and mouse'", |
| "SELECT weight FROM pets WHERE PetID = (SELECT PetID FROM pets WHERE PetType = 'dog' ORDER BY PetID DESC LIMIT 1)", |
| "SELECT SUM(amount) FROM sales WHERE class_id = 1 AND name = 'Art Classes';", |
| "SELECT \"Home\" FROM table_2_17026847_14 WHERE \"Attendance\" = '507'", |
| "SELECT COUNT(DISTINCT \"location\") FROM \"hiring\";", |
| "SELECT SUM(quantity) FROM orders WHERE customer_region = 'Asia-Pacific';", |
| "SELECT \"Score\" FROM table_1_17140608_11 WHERE \"Date\" = 'April 28'", |
| "SELECT abbreviation FROM 'flights' WHERE 'JetBlue Airways' = 'JetBlue'", |
| "SELECT drug_name, MIN(sales_amount) FROM sales WHERE continent = 'Europe' AND sale_date >= '2022-01-01' AND sale_date < '2023-01-01' GROUP BY drug_name;", |
| "SELECT \"Type\" FROM table_2_1653640_2 WHERE \"Capacity\" = '28 passengers' AND \"Number\" = '16'", |
| "SELECT `professional_id`, `role_code`, `first_name`, `last_name`, `email_address` FROM `Professionals` WHERE `professional_id` NOT IN (SELECT `professional_id` FROM `Professionals` WHERE `role_code` = 'Treatment')", |
| "SELECT assessment_name, rating FROM GeopoliticalRiskAssessments WHERE rating > 7.0 AND region = 'North America' AND assessment_date >= '2020-01-01';", |
| "SELECT \"Co-driver\" FROM table_2_15677649_2 WHERE \"Year\" < '2012' AND \"Laps\" < '161' AND \"Position\" = 'dnf' AND \"Number\" = '33'", |
| "SELECT LName FROM Student WHERE PetID = 2002 AND age > 3", |
| "SELECT AVG(rating) FROM Movies WHERE genre = 'Action';", |
| "SELECT MIN(\"Season #\") FROM table_1_25800134_11", |
| "SELECT director, COUNT(DISTINCT episode) as num_cartoons FROM news_readership WHERE country = 'India' AND topic = 'Cartoon' GROUP BY director;", |
| "SELECT SUM(revenue) FROM sponsored_posts WHERE category = 'beauty';", |
| "SELECT \"Winner\" FROM table_1_20462111_1 WHERE \"Date\" = '01.02.2009' AND \"Discipline\" = 'cup'", |
| "SELECT name FROM singer WHERE sales > 300000;", |
| "SELECT SUM(services_provided) FROM legal_aid_services WHERE location = 'Rural Area' AND state = 'California' AND year = 2021;", |
| "SELECT opponents FROM news_readership WHERE date = 'april 19'", |
| "SELECT city FROM employee WHERE age > 30 GROUP BY city HAVING COUNT(*) > 1", |
| "SELECT AVG(depth FROM oceanography WHERE location = 'Southern Ocean Trench';", |
| "SELECT MIN(\"Points\") FROM table_2_1618788_2 WHERE \"Year\" = '2004'", |
| "SELECT episode FROM news_readership WHERE topic = 'Sky Radio'", |
| "SELECT AVG(energy_efficiency) FROM project WHERE location = 'Africa' AND project_type = 'Hydro';", |
| "SELECT \"To par\" FROM table_2_17245444_5 WHERE \"Place\" = 't5' AND \"Score\" = '71-68-76=215'", |
| "SELECT T1.name FROM visitor AS T1 JOIN visit AS T2 ON T1.ID = T2.visitor_ID WHERE T2.visitor_ID IN (SELECT T2.visitor_ID FROM visit AS T2 WHERE T2.visitor_ID IN (SELECT T1.visitor_ID FROM visitor AS T1 WHERE T1.Museum_ID = T2.Museum_ID AND T1.Open_Year < '2009' AND T1.Open_Year > '2011') AND T2.visitor_ID IN (SELECT T1.visitor_ID FROM visitor AS T1 WHERE T1.Museum_ID = T2.Museum_ID AND T1.Open_Year < '2009' AND T1.Open_Year > '2011') AND T2.visitor_ID NOT IN (SELECT T1.visitor_ID FROM visitor AS T1 WHERE T1.Museum_ID = T2.Museum_ID AND T1.Open_Year < '2009' AND T1.Open_Year > '2011') AND T2.visitor_ID NOT IN (SELECT T1.visitor_ID FROM visitor AS T1 WHERE T1.Museum_ID = T2.Museum_ID AND T1.Open_Year < '2009' AND T1.Open_Year > '2011')", |
| "SELECT SUM(budget) FROM peacekeeping_operations_africa WHERE country IN ('Nigeria', 'South Africa', 'Egypt', 'Algeria', 'Morocco') AND year = 2020;", |
| "SELECT \"Guest\" FROM table_2_13883437_2 WHERE \"Venue\" = 'Stadion Prljanije'", |
| "SELECT concert_Name, theme FROM concert WHERE concert_ID IN (SELECT concert_ID FROM concert WHERE country = 'India' UNION SELECT concert_ID FROM concert WHERE country = 'Argentina' UNION SELECT concert_ID FROM concert WHERE country = 'India')", |
| "SELECT name FROM strategies WHERE year = 2018;", |
| "SELECT MIN(\"First elected\") FROM table_1_2668264_22 WHERE \"Incumbent\" = 'Andrew R. Govan'", |
| "SELECT name FROM country WHERE population > 100000000 AND population < 1000000000 ORDER BY population DESC LIMIT 3;", |
| "SELECT COUNT(plant_id) FROM hydro_plants WHERE country IN ('Malaysia', 'Philippines', 'Singapore') AND construction_year BETWEEN '2015' AND '2020';", |
| "SELECT \"Game\" FROM table_2_13991411_2 WHERE \"Opponent\" = '@ atlanta flames'", |
| "SELECT player_id, first_name, last_name FROM players WHERE birth_date IS NOT NULL;", |
| "SELECT (SUM(CASE WHEN vaccination THEN 1 ELSE 0 END) * 100.0 / SUM(CASE WHEN vaccination THEN 1 ELSE 0 END)) AS vaccination_percentage FROM population WHERE location LIKE 'Rural%' AND vaccination = true;", |
| "SELECT MIN(\"Podiums\") FROM table_1_25539502_1 WHERE \"Races\" = '11'", |
| "SELECT name, age FROM employee ORDER BY age ASC;", |
| "SELECT AVG(co2_emission) FROM (SELECT country, AVG(co2_emission) AS avg_co2_emission FROM emissions WHERE year >= 2015 GROUP BY country) as top_countries;", |
| "SELECT MIN(\"Round\") FROM table_2_12161822_4 WHERE \"Grand Prix\" = 'grand prix indien'", |
| "SELECT id FROM tv_series WHERE NOT tv_series.id IN (SELECT tv_series.id FROM tv_series WHERE tv_series.directed_by = 'Ben Jones')", |
| "SELECT DISTINCT medical_condition FROM AstronautMedical WHERE nationality = 'Russia'", |
| "SELECT \"Date\" FROM table_1_23308178_6 WHERE \"Opponent\" = 'toronto maple leafs'", |
| "SELECT COUNT(DISTINCT professional_id) FROM \"Professionals\" WHERE \"professional_id\" IN (SELECT \"professional_id\" FROM \"Professionals\" WHERE \"treatment_type_code\" = 'VAC' AND \"dog_id\" IS NOT NULL)", |
| "SELECT COUNT(*) FROM risk_assessments WHERE region = 'Asia-Pacific' AND risk_level = 'High';", |
| "SELECT \"Broadcast network\" FROM table_1_21076286_2 WHERE \"Broadcast scope\" = 'Saitama Prefecture'", |
| "SELECT teacher.Name FROM teacher WHERE teacher.Teachership > 2;", |
| "SELECT well_name FROM wells WHERE daily_production_rate > 125;", |
| "SELECT \"Footscray\" FROM table_2_10885968_16 WHERE \"Home team\" = 'footscray'", |
| "SELECT teacher.Name, course.Name FROM teacher, course WHERE teacher.Name < course.Name OR teacher.Name = course.Name;", |
| "SELECT route, budget FROM routes WHERE city = 'San Francisco' AND year = 2023 ORDER BY budget;", |
| "SELECT rank FROM table_1_24431264_18 WHERE \"Withdrew due to\" = 'right foot injury'", |
| "SELECT \"Continent\", \"Region\", \"Population\" FROM \"countrylanguage\" WHERE \"CountryCode\" = ' Angola'", |
| "SELECT ingredient, SUM(quantity) FROM inventory WHERE quantity > 0;", |
| "SELECT \"Losing bonus\" FROM table_1_12828723_4 WHERE \"Points against\" = '439'", |
| "SELECT abbreviation, country FROM (SELECT abbreviation, country FROM 'airlines' WHERE country IN ('USA', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada', 'Canada", |
| "SELECT SUM(ticket_price) FROM concert_tickets WHERE ticket_price > 50 AND ticket_price < 100 AND country = 'United States';", |
| "SELECT \"Elevator\" FROM table_2_18295097_1 WHERE \"Elector\" = 'matteo orsini rosso'", |
| "SELECT COUNT(DISTINCT `owners_id`) FROM `Owners` WHERE `owners_id` NOT IN (SELECT `owner_id` FROM `Dogs`)", |
| "SELECT language FROM IndigenousLanguages WHERE country IN ('Peru', 'Bolivia', 'Paraguay');", |
| "SELECT \"Term ended\" FROM table_1_224672_2 WHERE \"Term began\" = 'December 4, 1978'", |
| "SELECT \"Name\" FROM singer_in_concert WHERE concert_ID = 1 AND year = 2014", |
| "SELECT VesselName FROM Vessels WHERE NOT VesselID IN (SELECT VesselID FROM SafetyIncidents WHERE IncidentLocation LIKE 'North America');", |
| "SELECT \"Up/Down\" FROM table_1_2472711_32 WHERE \"Venue\" = 'Subiaco Oval'", |
| "SELECT AVG(grade) FROM (SELECT student_id, AVG(grade) as grade FROM (SELECT student_id, friend_id, AVG(grade) as grade FROM Highschooler WHERE country = 'India' UNION SELECT student_id, friend_id, AVG(grade) as grade FROM Highschooler WHERE country = 'India' UNION SELECT student_id, friend_id, AVG(grade) as grade FROM Highschooler WHERE country = 'Argentina' UNION SELECT student_id, friend_id, AVG(grade) as grade FROM Highschooler WHERE country = 'Argentina') as subquery) as average_grade", |
| "SELECT CoachName, AVG(Wins) AS AvgWins FROM Coaches GROUP BY CoachName;", |
| "SELECT MIN(\"Pick #\") FROM table_2_1014145_1 WHERE \"MLS team\" = 'columbus crew'", |
| "SELECT COUNT(DISTINCT `ship_type`) FROM ship WHERE `ship_type` = 'Captured'", |
| "SELECT * FROM Suppliers JOIN Supplies ON Suppliers.supplier_id = Supplies.supplier_id JOIN Manufacturers ON Suppliers.manufacturer_id = Manufacturers.manufacturer_id JOIN Suppliers.supplier_name ON Suppliers.supplier_name = 'ManufacturerC' WHERE Manufacturers.region = 'Asia-Pacific' AND Suppliers.supplier_name = 'ManufacturerC';", |
| "SELECT \"Team\" FROM news_readership WHERE \"Average\" = '20.4'", |
| "SELECT COUNT(DISTINCT \"Code\") FROM \"country\" WHERE \"Code\" = 'ASIA'", |
| "SELECT hotel_id, ai_operations FROM hotels WHERE hotel_id IN (SELECT hotel_id FROM ota_bookings WHERE booking_date >= '2021-06-01' AND booking_date < '2021-06-02' AND ai_operations > 0) AND hotel_id IN (SELECT hotel_id FROM ota_bookings WHERE booking_date >= '2021-06-01' AND booking_date < '2021-06-02' AND ai_operations > 0) GROUP BY hotel_id, ai_operations HAVING COUNT(DISTINCT hotel_id) = 2;", |
| "SELECT \"Mac OS X\" FROM table_2_1504233_2 WHERE \"Linux\" = 'no' AND \"AmigaOS\" = 'no' AND \"Android\" = 'no' AND \"Windows Mobile\" = 'no'", |
| "SELECT COUNT(DISTINCT professional_id) FROM treatment_types WHERE treatment_type_code = 'WALK'", |
| "SELECT type, COUNT(DISTINCT name) FROM species WHERE type IN ('Trench', 'Hatchetfish') GROUP BY type;", |
| "SELECT \"Season\" FROM news_readership WHERE \"Final Placing\" = '8th' AND \"Podiums\" = '8'", |
| "SELECT COUNT(DISTINCT continent) FROM \"continents\";", |
| "SELECT max_depth FROM ocean_floor_mapping;", |
| "SELECT COUNT(\"January\") FROM table_2_13909382_5 WHERE \"Opponent\" = 'philadelphia flyers'", |
| "SELECT name FROM Highschooler WHERE grade = 10", |
| "SELECT salesperson_id, SUM(revenue) as total_revenue FROM sales GROUP BY salesperson_id ORDER BY total_revenue DESC;", |
| "SELECT opponents FROM table_2_15234969_5 WHERE \"Year\" = '2008'", |
| "SELECT student_id FROM (SELECT student_id FROM Highschooler WHERE id IN (SELECT id FROM Likes WHERE student_id IN (SELECT id FROM Friend)) UNION SELECT student_id FROM Highschooler WHERE id IN (SELECT id FROM Likes WHERE student_id IN (SELECT id FROM Friend))) AS common_students", |
| "SELECT artist_name FROM Artworks WHERE gallery_name = 'Impressionist Gallery';", |
| "SELECT \"Original air date\" FROM table_1_2453243_4 WHERE \"Title\" = 'sheep thrills'", |
| "SELECT \"Final_Table_Made\", \"Best_Finish\" FROM \"poker_player\" WHERE \"Country\" = 'India'", |
| "SELECT destination, SUM(num_tourists) FROM eco_destinations WHERE destination IN ('Bali', 'Costa Rica', 'Nepal') GROUP BY destination HAVING COUNT(*) = 2 UNION SELECT destination FROM eco_destinations GROUP BY destination;", |
| "SELECT \"Date\" FROM table_2_167446_1 WHERE \"Nationality\" = 'united kingdom' AND \"Type\" = 'freighter' AND \"Displacement\" = '5,145 t'", |
| "SELECT id FROM Highschooler WHERE name = 'Kyle'", |
| "SELECT COUNT(project_id) FROM climate_communication_projects WHERE start_year < 2018 AND region = 'Europe';", |
| "SELECT \"Tries against\" FROM table_2_12828723_5 WHERE \"Try bonus\" = '8'", |
| "SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (", |
| "SELECT AVG(rating) FROM virtual_tours WHERE country IN ('Indonesia', 'Malaysia', 'Thailand') AND quarter = 'Q2' AND rating > 4.5;", |
| "SELECT \"Writer\" FROM news_readership WHERE \"Viewers (millions)\" = '5.93'", |
| "SELECT state FROM Owners WHERE owners_id IN (SELECT owner_id FROM Owners WHERE owners_id IN (SELECT professional_id FROM Professionals WHERE professionals_id IN (SELECT profession_id FROM Professions WHERE profession_name IN ('Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee', 'Employee", |
| "SELECT name FROM Dams WHERE state = 'California';", |
| "SELECT \"No. in season\" FROM table_1_26168687_5 WHERE \"Title\" = '\"MV Beluga Bremen\"'", |
| "SELECT AVG(Earnings) FROM poker_player;", |
| "SELECT name, ( affordable_housing / total_housing ) as ratio FROM Community_Types WHERE affordable_housing > 0 AND affordable_housing > total_housing;", |
| "SELECT \"10 4 k /min \u22121 (30 \u00b0C) (\u00b1 1-2%) absolute\" FROM table_1_2068719_1 WHERE \"10 4 k /min \u22121 (30 \u00b0C) (\u00b1 1-2%) absolute\" = '1.00'", |
| "SELECT id FROM tv_channel WHERE country = 'India' AND topic IN (SELECT topic FROM tv_series WHERE country = 'India' GROUP BY topic HAVING COUNT(*) > 2)", |
| "SELECT material_id, AVG(order_quantity) AS avg_quantity FROM order_items WHERE material_id IN (SELECT id FROM materials WHERE type = 'sustainable') GROUP BY material_id HAVING avg_quantity = (SELECT AVG(order_quantity) FROM order_items WHERE material_id IN (SELECT id FROM materials WHERE type = 'sustainable'))", |
| "SELECT \"Record\" FROM table_1_23624542_4 WHERE \"Date\" = 'Sept 22'", |
| "SELECT first_name FROM Addresses WHERE address_id = (SELECT address_id FROM Students WHERE student_id = 1) AND current_address_id IS NULL;", |
| "SELECT SUM(cost) FROM renewable_energy_projects WHERE region = 'Europe';", |
| "SELECT \"Weight\" FROM table_1_14342210_13 WHERE \"Height\" = '6'' 2'", |
| "SELECT grade, COUNT(*) FROM Highschooler WHERE country = 'India' GROUP BY grade;", |
| "SELECT name FROM campaigns WHERE state = 'New York' AND condition = 'Anxiety'", |
| "SELECT \"Record\" FROM table_2_11963735_8 WHERE \"Date\" = '6 april 2008'", |
| "SELECT people.Name FROM people WHERE people.Nationality NOT IN ('Russia', 'Bulgaria', 'Russia', 'Roman Bragin', 'Russia', 'Sergey Grankin', 'Russia', 'Yevgeni Sivozhelez', 'Russia', 'Maksim Botin', 'Russia', 'Semen Poltavskiy');", |
| "SELECT WarehouseID, TransactionStatus, TransactionDate FROM WarehouseManagementTransactions WHERE WarehouseID = 3;", |
| "SELECT \"Administrative district\" FROM news_readership WHERE country = 'India' AND \"Post-1009 province\" = 'donggye'", |
| "SELECT major, age FROM (SELECT pet_type FROM pets WHERE pet_type != 'cat' UNION SELECT pet_type FROM pets WHERE pet_type = 'cat') AS cat_petters;", |
| "SELECT facility_id, date, AVG(waste_amount) OVER (PARTITION BY facility_id) AS moving_avg FROM facility_waste WHERE date >= '2022-01-01' AND date <= '2022-06-01' AND facility_id IN (SELECT facility_id FROM facility_waste WHERE date >= '2022-01-01' AND date <= '2022-06-01') GROUP BY facility_id, date;", |
| "SELECT \"Company Name\" FROM table_2_16742756_4 WHERE \"Accreditation status\" = 'approved (valid until 03.07.13)'", |
| "SELECT player_id, first_name, country_code FROM players WHERE player_id IN (SELECT player_id FROM matches WHERE match_num = 1 ORDER BY player_id ASC LIMIT 1);", |
| "SELECT player, SUM(homerset) FROM single_game_homeruns WHERE team = 'Boston Beaneaters' GROUP BY player HAVING SUM(homerset) = 1;", |
| "SELECT \"Seine-Saint-Denis\" FROM table_2_1716427_2 WHERE \"Paris\" = '12.1%'", |
| "SELECT Template_Type_Code, COUNT(*) FROM Documents GROUP BY Template_Type_Code ORDER BY COUNT(*) DESC, Template_Type_Code DESC;", |
| "SELECT COUNT(*) FROM WaterTreatmentPlants WHERE region = 'Urban' AND total_capacity > 50000;", |
| "SELECT \"Network\" FROM table_2_16806986_4 WHERE \"Games\" = 'unknown' AND \"Title\" = 'hvem kan sl\u00e5 ylvis hvem kan sl\u00e5 aamodt & kjus'", |
| "SELECT language FROM `countrylanguage` WHERE continent = 'Asia' GROUP BY language ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT species, biomass FROM seafoodspecies WHERE location = 'Mediterranean Sea' AND biomass < 10000;", |
| "SELECT \"Date\" FROM table_2_1849669_2 WHERE \"Tournament\" = 'acapulco'", |
| "SELECT conductor.name FROM conductor WHERE conductor.year_of_work = (SELECT MAX(year_of_work) FROM conductor);", |
| "SELECT SUM(yellow_cards_home) FROM soccer_matches WHERE location = 'home';", |
| "SELECT \"Position\" FROM table_1_25517718_3 WHERE \"Player\" = 'Boggs'", |
| "SELECT teacher.Name FROM teacher WHERE teacher.Name LIKE 'Math%';", |
| "SELECT transactions.id, transactions.transaction_amount FROM transactions JOIN clients ON transactions.client_id = clients.id WHERE clients.state = 'New York' AND transactions.transaction_amount > 1000.00;", |
| "SELECT \"Designation\" FROM table_2_148813_2 WHERE \"Quantity\" = '52'", |
| "SELECT package_Option FROM tv_channels WHERE channel NOT IN (SELECT channel FROM tv_series WHERE director = 'Ben Jones')", |
| "SELECT company, MIN(productivity) FROM companies WHERE material = 'Coal' AND location = 'China' GROUP BY company;", |
| "SELECT \"Incumbent\" FROM table_1_1342393_16 WHERE \"District\" = 'Kentucky 9'", |
| "SELECT COUNT(DISTINCT \"Singer_ID\") FROM \"singer\"", |
| "SELECT MAX(funding_amount) FROM funding WHERE industry = 'Biotech';", |
| "SELECT \"Player\" FROM table_2_14609752_1 WHERE \"School\" = 'ul-monroe'", |
| "SELECT Template_Type_Description FROM Templates WHERE Template_Type_Code = 'AD';", |
| "SELECT AVG(revenue) FROM RetailSales WHERE garment_type = 'Shirt' AND country = 'USA';", |
| "SELECT \"1976\" FROM table_2_1834704_2 WHERE \"Tournament\" = 'overall win \u2013 loss'", |
| "SELECT country, COUNT(DISTINCT player_id) FROM players GROUP BY country;", |
| "SELECT AVG(safety_score) FROM creative_ai WHERE country IN ('France', 'Germany', 'Spain');", |
| "SELECT MIN(\"R2\") FROM table_1_18812411_3 WHERE \"R1\" > '0'", |
| "SELECT COUNT(DISTINCT dog_id) FROM treatment_types WHERE dog_id IN (SELECT dog_id FROM dogs WHERE animal = 'Cattle');", |
| "SELECT diagnosis, COUNT(*) FROM RuralHealthFacility3 WHERE diagnosis LIKE 'Diabetes%' GROUP BY diagnosis ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT \"Event\" FROM table_2_12762866_2 WHERE \"Opponent\" = 'masato shiozawa'", |
| "SELECT DISTINCT `orchestra` FROM orchestra WHERE `orchestra` IS NULL;", |
| "SELECT MAX(likes) FROM posts WHERE title LIKE 'Post%' AND domain = 'Asia';", |
| "SELECT SUM(\"Total\") FROM table_1_21995420_6 WHERE \"School\" = 'University of the Cordilleras UC Dance Squad'", |
| "SELECT \"Continent\" FROM \"city\" WHERE \"Name\" = 'Kabul' AND \"CountryCode\" = 'AFG'", |
| "SELECT country, SUM(sale_id) FROM sales WHERE brand_id IN (SELECT product_id FROM ethical_brands) GROUP BY country, SUM(sale_id) HAVING SUM(sale_id) = (SELECT SUM(sale_id) FROM sales WHERE brand_id IN (SELECT product_id FROM ethical_brands)) ORDER BY country;", |
| "SELECT \"02:00 AM\" FROM table_2_15535243_1 WHERE \"Time\" = 'Thursday'", |
| "SELECT document_id, document_name, document_description FROM Documents;", |
| "SELECT vehicle_type, SUM(cost) FROM vehicle_maintenance WHERE maintenance_date >= '2021-01-01' AND maintenance_date < '2021-02-01' GROUP BY vehicle_type;", |
| "SELECT \"Game Site\" FROM table_1_14971788_1 WHERE \"Opponent\" = 'Atlanta Falcons'", |
| "SELECT airline FROM news_readership WHERE country = 'India' AND readership >= 10", |
| "SELECT COUNT(*) FROM healthcare_staff WHERE gender = 'Female';", |
| "SELECT opponent FROM table_1_27654988_1 WHERE \"Scorers\" = 'Branc\u00e3o Couto 0' AND \"Opponent\" = 'Branc\u00e3o Couto 0'", |
| "SELECT `professional_id`, `role_code`, `first_name`, `last_name`, `email_address` FROM `Professionals` WHERE `professional_id` NOT IN (SELECT `professional_id` FROM `Treatments` WHERE `dog_id` IN (SELECT `dog_id` FROM `Dogs` WHERE `animal` = 'Cattle'));`)", |
| "SELECT SUM(donations.amount) FROM donations WHERE donor = 'Aisha' AND donation_date = '2021-05-05';", |
| "SELECT AVG(\"Avg. Finish\") FROM table_1_2190919_3 WHERE \"Team(s)\" = '#21/#07 ss-green light racing'", |
| "SELECT airline, abbreviation FROM 'airlines' WHERE country = 'USA'", |
| "SELECT state, AVG(avg_wage) FROM labor_statistics WHERE year = 2020 AND state IN ('Oregon', 'Florida', 'California', 'Washington') GROUP BY state HAVING AVG(avg_wage) = 25.75;", |
| "SELECT \"Year (Ceremony)\" FROM table_1_21790203_1 WHERE \"Language(s)\" = 'Japanese'", |
| "SELECT semester_name FROM `Transcripts` WHERE student_enrolment_id IS NULL;", |
| "SELECT COUNT(sport) FROM sports_events WHERE year = 2018;", |
| "SELECT \"Series\" FROM news_readership WHERE \"Director\" = 'friz frey'", |
| "SELECT stadium.Stadium_ID FROM stadium WHERE stadium.Location = 'India' AND stadium.name NOT IN (SELECT stadium.Stadium_ID FROM concert WHERE concert_year = 2014)", |
| "SELECT DrugName, ApprovalDate, ApprovalYear, ROW_NUMBER() OVER (PARTITION BY ApprovalYear ORDER BY ApprovalDate) as rank FROM MarketAccess WHERE ApprovalYear = 2021;", |
| "SELECT COUNT(DISTINCT \"Year\") FROM table_2_11233501_4 WHERE \"Surface\" = 'clay' AND \"Score\" = '4 : 0'", |
| "SELECT p1.Earnings FROM (SELECT p1.Poker_Player_ID, p1.readership FROM poker_player p1 ORDER BY p1.readership DESC) p1;", |
| "SELECT funding FROM genome_inc WHERE project = 'Genome Inc.' AND project = 'Genetic Research';", |
| "SELECT \"Name\" FROM news_readership WHERE \"Length\" = '2.40km' AND \"Winner\" = 'S. Loeb'", |
| "SELECT Template_Type_Code, MIN(DISTINCT Document_Name) as Min_Document_Name FROM Documents WHERE Template_Type_Code = 'PPT' GROUP BY Template_Type_Code ORDER BY Min_Document_Name;", |
| "SELECT match_id, team_1, team_2, team_1_score, team_2_score FROM cricket_scores WHERE match_id = (SELECT MAX(m2m) FROM cricket_scores m2m WHERE m2m.match_id = 1) AND match_id = (SELECT MAX(m2m) FROM cricket_scores m2m WHERE m2m.match_id = 2);", |
| "SELECT COUNT(\"Result\") FROM table_1_17848578_1 WHERE \"Game site\" = 'Atlanta-Fulton County Stadium'", |
| "SELECT hand, COUNT(*) FROM players WHERE country_code = 'USA' GROUP BY hand;", |
| "SELECT AVG(phosphorus) FROM scotland_fish_farming WHERE site_id IN (1, 2, 3);", |
| "SELECT \"School\" FROM news_readership WHERE \"Round\" = '24'", |
| "SELECT country, COUNT(DISTINCT language) as language_count FROM (SELECT country, COUNT(DISTINCT language) as language_count FROM (SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count FROM \"country\" WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, COUNT(DISTINCT language) as language_count", |
| "SELECT AVG(depth FROM underwater_volcanoes WHERE ocean = 'Atlantic';", |
| "SELECT \"Result\" FROM table_2_10860384_2 WHERE \"Date\" = 'december 31, 2005'", |
| "SELECT student_id, COUNT(DISTINCT friend_id) as friend_count FROM Highschooler GROUP BY student_id ORDER BY friend_count DESC, student_id;", |
| "SELECT country, SUM(launches.launch_year) FROM launches WHERE launches.country = 'Space' GROUP BY country;", |
| "SELECT \"Retail name\" FROM table_2_11989226_1 WHERE \"Chipset based on\" = 'radeon 9200'", |
| "SELECT COUNT(DISTINCT \"airlines\") FROM news_readership;", |
| "SELECT SUM(co2_emissions) FROM carbon_offset WHERE name = 'Plant a Tree';", |
| "SELECT \"Ryusuke Taguchi\" FROM table_2_10979732_31 WHERE \"Jushin Liger\" = 'Ryusuke Taguchi'", |
| "SELECT breed_code FROM `Breeds` WHERE size_type_code IS NOT NULL UNION SELECT breed_code FROM `Sizes` WHERE size_type_code IS NOT NULL UNION SELECT breed_code FROM `Treatments` WHERE treatment_type_code IS NOT NULL UNION SELECT breed_code FROM `Charges` WHERE charge_type_code IS NOT NULL UNION SELECT breed_code FROM `Dogs` WHERE dog_id IS NOT NULL UNION `Professionals` WHERE professional_id IS NOT NULL UNION `Treatments` WHERE treatment_type_code IS NOT NULL UNION `Charges` WHERE charge_type = 'Daily Accommodation' UNION `Treatments` WHERE treatment_type_code = 'Daily Accommodation' UNION `Charges` WHERE charge_type = 'Daily Accommodation' UNION `Dogs` WHERE dog_id IS NOT NULL UNION `Professionals` WHERE professional_id IS NOT NULL UNION `Treatments` WHERE treatment_type_code = 'Daily Accommodation' UNION `Charges` WHERE charge_type = 'Daily Accommodation' UNION `Dogs` WHERE dog_id IS NOT NULL UNION `Professionals` WHERE professional_id IS NOT NULL UNION `Treatments` WHERE treatment_type_code = 'Daily Accommodation' UNION `Charges` WHERE charge_type = 'Daily Accommodation' UNION `Dogs` WHERE dog_id IS NOT NULL UNION `Professionals` WHERE professional_id IS NOT NULL UNION `Treatments` WHERE treatment_type_code = 'Daily Accommodation' UNION `Charges` WHERE charge_type = 'Daily Accommodation' UNION `Dogs` WHERE dog_id IS NOT NULL UNION `Prof", |
| "SELECT customer_name, SUM(is_vegetarian) FROM orders JOIN menu ON orders.menu_id = menu.menu_id JOIN orders.order_date ON orders.order_date = order_date WHERE menu.is_vegetarian = true AND orders.order_date > '2022-01-01' GROUP BY customer_name HAVING SUM(is_vegetarian) > 1;", |
| "SELECT \"Score\" FROM table_2_16653153_10 WHERE \"Away team\" = 'melbourne tigers'", |
| "SELECT COUNT(DISTINCT Document_Name) FROM Documents;", |
| "SELECT country, COUNT(DISTINCT union_name) FROM UnionMembers GROUP BY country;", |
| "SELECT \"Premiere\" FROM table_2_15389655_1 WHERE \"Channel\" = 'TVB Jade'", |
| "SELECT player_id, first_name, last_name FROM players ORDER BY birth_date DESC;", |
| "SELECT project_type, AVG(budget) FROM agri_innovation_project WHERE project_type = 'Technology' GROUP BY project_type;", |
| "SELECT SUM(\"Weight\") FROM table_2_15859432_1 WHERE \"Block\" = '300'", |
| "SELECT \"CountryCode\" FROM `country` WHERE \"Continent\" = 'Africa' AND \"YearFounded\" > '1950'", |
| "SELECT Programs.ProgramName, SUM(VolunteerHours.hours) FROM VolunteerHours INNER JOIN Programs ON VolunteerHours.programID = Programs.programID WHERE VolunteerHours HourDate >= '2021-04-01' AND VolunteerHours HourDate < '2021-07-01' GROUP BY Programs.programName;", |
| "SELECT \"Set 2\" FROM table_2_15945725_11 WHERE \"Time\" = '15:33'", |
| "SELECT Template_ID FROM Templates WHERE Template_Type_Code NOT IN (SELECT Template_ID FROM Ref_Template_Types)", |
| "SELECT sector, (0.32 * 100) / SUM(0.32 + 0.21 + 0.15 + 0.14 + 0.13 + 0.14 + 0.13 + 0.12 + 0.12) as percentage FROM ghg_emissions WHERE year = 2015;", |
| "SELECT \"Composer(s)\" FROM table_2_16750938_1 WHERE \"Arranger(s)\" = 'banana boat' AND \"Length\" = '4:25'", |
| "SELECT teacher.age, teacher.Hometown FROM teacher;", |
| "SELECT region, SUM(quantity) FROM Resources WHERE resource IN ('oil', 'wind') GROUP BY region;", |
| "SELECT \"Skating song\" FROM table_1_19744915_3 WHERE \"Couple\" = 'Graeme & Kristina'", |
| "SELECT COUNT(*) FROM news_readership;", |
| "SELECT (SELECT ph FROM ocean_ph WHERE location = 'Atlantic Ocean' AND ph = 'Pacific Ocean') - (SELECT ph FROM ocean_ph WHERE location = 'Pacific Ocean' AND ph = 'Atlantic Ocean') as difference FROM ocean_ph WHERE location = 'Atlantic Ocean';", |
| "SELECT school_club FROM schools_clubs WHERE round = 12 AND picked < 342", |
| "SELECT COUNT(CASE WHEN MAX(accelerate) > MAX(horsepower) THEN 1 ELSE 0 END) FROM \"car_makers\" WHERE country = 'united states'", |
| "SELECT country, MIN(resolution_days) FROM country_incident_resolution WHERE resolution_days > 0;", |
| "SELECT COUNT(\"Crowd\") FROM table_2_10701914_11 WHERE \"Away team\" = 'north melbourne'", |
| "SELECT COUNT(DISTINCT 'US') FROM news_readership WHERE country = 'USA';", |
| "SELECT SUM(donation_amount) FROM donations WHERE cause = 'environment' AND donation_date >= '2022-01-01' AND donation_date < '2022-01-02';", |
| "SELECT \"No. in series\" FROM news_readership WHERE \"Original air date\" = 'February 11, 1988'", |
| "SELECT Template_ID, COUNT(*) FROM Documents WHERE Template_ID IN (SELECT Template_ID FROM Templates) GROUP BY Template_ID;", |
| "SELECT AVG(rating) FROM eco_hotels WHERE country = 'France' AND rating > 4.5;", |
| "SELECT \"Location\" FROM table_2_1722347_1 WHERE \"Floors\" = '13' AND \"Rank\" > '12'", |
| "SELECT country_code FROM players GROUP BY country_code ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT Country, MAX(Salary) FROM AutomotiveWorkers GROUP BY Country;", |
| "SELECT \"Crowd\" FROM table_2_10640687_3 WHERE \"Home team\" = 'st kilda' AND \"Home team score\" = '13.16 (94)'", |
| "SELECT student_id FROM Highschooler WHERE NOT student_id IN (SELECT student_id FROM Friend)", |
| "SELECT TeamName, (SUM(TicketSales.SaleDate) / (SELECT SUM(TicketSales.SaleDate) FROM TicketSales WHERE SaleDate >= '2023-01-01' AND SaleDate < '2023-04-03' GROUP BY TicketSales.SaleDate) * 100) as Percentage FROM TicketSales WHERE SaleDate >= '2023-01-01' AND SaleDate < '2023-04-03' GROUP BY TeamName) as Percentage FROM TicketSales GROUP BY TeamName;", |
| "SELECT \"Hometown\" FROM table_1_11677100_11 WHERE \"Position\" = 'catcher'", |
| "SELECT country, COUNT(singer) FROM news_readership WHERE country IN ('India', 'Argentina') GROUP BY country;", |
| "SELECT project, budget FROM innovation_projects WHERE country = 'Indonesia' AND project LIKE 'agric%';", |
| "SELECT \"Type\" FROM table_2_12950463_1 WHERE \"Unit\" = 'greifswald - 7 (kgr 7)'", |
| "SELECT channel FROM news_readership WHERE topic NOT IN ('Politics', 'Sports', 'Music', 'TV Series', 'TV Channel')", |
| "SELECT year, score, AVG(score) OVER(PARTITION BY year) - AVG(score) OVER(PARTITION BY year) as change FROM mental_health_changes WHERE year IN (2018, 2019);", |
| "SELECT \"Number\" FROM table_1_12032893_1 WHERE \"Name\" = 'Ron Baxter'", |
| "SELECT concert_Name, theme, COUNT(singer) FROM concert GROUP BY concert_Name, theme;", |
| "SELECT name FROM renewable_project WHERE country = 'India' AND budget BETWEEN 50000000 AND 20000000;", |
| "SELECT \"Score\" FROM table_2_12977875_3 WHERE \"Date\" = '21 april 2001'", |
| "SELECT Template_Type_Code, COUNT(DISTINCT Document_ID) FROM Documents WHERE Template_Type_Code IN (SELECT Template_Type_Code FROM Ref_Template_Types) GROUP BY Template_Type_Code;", |
| "SELECT country, AVG(recycling_rate) FROM RecyclingRatesOceania WHERE year = 2021 GROUP BY country;", |
| "SELECT \"Dissolved\" FROM table_2_1827690_10 WHERE \"2nd member\" = 'hugh winch' AND \"Assembled\" = '27 october 1601'", |
| "SELECT country, population, lifeexpectancy FROM `country` ORDER BY population DESC, country, lifeexpectancy DESC LIMIT 1;", |
| "SELECT r.region_id, r.region_name, AVG(r.avg_carbon_sequestration_rate) as avg_carbon_sequestration_rate FROM regions r JOIN tree_regions tr ON r.region_id = tr.region_id JOIN tree_species ts ON tr.species_id = ts.species_id JOIN tree_species rsp ON rsp.species_id = r.species_id WHERE r.region_id = 'Northern' AND r.region_name = 'Northern' AND r.region_id = 'Southern' AND r.region_name = 'Southern' AND r.region_id = 'Eastern' AND r.region_name = 'Eastern' AND r.region_id = 'Western' GROUP BY r.region_id, r.region_name;", |
| "SELECT \"College/junior/club team\" FROM news_readership WHERE country = 'India' AND \"Pick #\" = 100", |
| "SELECT `Air_Date` FROM \"TV_series\" WHERE `Episode` = 'A Love of a Lifetime'", |
| "SELECT Station_Name, latitude, longitude, ocean_name FROM Research_Station WHERE ocean_name = 'Atlantic'", |
| "SELECT \"Number (Quantity Ordered)\" FROM livestock WHERE \"Make/ Model\" = 'ElDorado National Passport'", |
| "SELECT SUM(COUNT(*)) FROM \"Other_Available_Features\"", |
| "SELECT COUNT(supplier_id) FROM suppliers WHERE sustainable = true AND country = 'United States';", |
| "SELECT \"J.E. Armstrong\" FROM table_1_1320857_1 WHERE \"W.H. Archer\" = 'D.M. Lawson'", |
| "SELECT MIN(grade) FROM (SELECT student_id FROM Highschooler WHERE NOT student_id IN (SELECT student_id FROM Friend) GROUP BY student_id) AS lowest_grade", |
| "SELECT COUNT(DISTINCT user_id) FROM memberships WHERE join_date >= '2023-01-01' AND join_date < '2023-03-20';", |
| "SELECT MIN(\"Established\") FROM table_1_1641054_2", |
| "SELECT COUNT(DISTINCT AirportName) FROM 'airports' WHERE Country = 'India' OR Country = 'Argentina'", |
| "SELECT Country, COUNT(*) FROM Players WHERE FavoriteGame = 'Mobile' GROUP BY Country ORDER BY COUNT(*) DESC LIMIT 3;", |
| "SELECT COUNT(\"F/Laps\") FROM table_1_25740774_1 WHERE \"Team\" = 'March 3 Racing (1-4) Top Speed Racing Team (5-12)'", |
| "SELECT student_id FROM Highschooler WHERE NOT student_id IN (SELECT student_id FROM Friend)", |
| "SELECT operator_id, AVG(production_qty) FROM wells WHERE operator_id IN (SELECT operator_id FROM operators) GROUP BY operator_id ORDER BY AVG(production_qty) DESC;", |
| "SELECT \"Home\" FROM table_2_12728831_6 WHERE \"Date\" = 'may 22' AND \"Visitor\" = 'edmonton oilers'", |
| "SELECT AVG(Earnings) FROM poker_player WHERE country = 'India';", |
| "SELECT county.name, (SELECT AVG(100.0 * flu_vaccinations / population) FROM county WHERE population > 10000) as vaccination_percentage FROM county WHERE population > 10000;", |
| "SELECT \"Icelandic\" FROM table_2_1777797_1 WHERE \"English\" = 'rain'", |
| "SELECT COUNT(DISTINCT Template_ID) FROM Templates;", |
| "SELECT ingredients.product_id, ingredients.ingredient FROM ingredients JOIN brands ON ingredients.brand_id = brands.brand_id WHERE brand_name = 'Lush';", |
| "SELECT \"Year born (Age)\" FROM table_2_18228282_6 WHERE \"Height\" > '2.04' AND \"Current Club\" = 'los angeles clippers'", |
| "SELECT Template_Type_Code FROM Ref_Template_Types;", |
| "SELECT category, SUM(likes) FROM posts WHERE category = 'sports' AND likes >= 30 GROUP BY category ORDER BY SUM(likes) DESC LIMIT 1;", |
| "SELECT \"Manufacturer\" FROM table_2_1169552_21 WHERE \"Year withdrawn\" > '1932'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` = 'AFG'", |
| "SELECT country, SUM(is_organic) FROM farm_data WHERE is_organic = true GROUP BY country;", |
| "SELECT \"Prize\" FROM table_2_10242364_2 WHERE \"Country/Region\" = 'Belgium'", |
| "SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (", |
| "SELECT MIN(PolicyholderID) as MinPolicyholderID, MAX(PolicyholderID) as MaxPolicyholderID, MIN(PolicyholderID) as MinPolicyholderAge, MAX(PolicyholderID) as MaxPolicyholderAge FROM Policyholders WHERE PolicyholderID IN (1, 2, 3);", |
| "SELECT \"League Cup\" FROM table_2_12783587_2 WHERE \"FA Cup\" = '0 13 0 (49)'", |
| "SELECT document_id, document_name, paragraph_id, paragraph_text, paragraph_count FROM documents WHERE template_code = 'PPT';", |
| "SELECT state, year, energy_type, consumption FROM energy_consumption WHERE state = 'New York' AND year = 2020 AND energy_type IN ('Renewable', 'Non-Renewable') GROUP BY state, year, energy_type, consumption;", |
| "SELECT \"Producer\" FROM table_2_15236220_4 WHERE \"Director\" = 'bona fajardo'", |
| "SELECT conductor.name FROM conductor WHERE conductor.year_of_work > 2008;", |
| "SELECT Genre, COUNT(*) FROM GameDesign WHERE Platform = 'PC' GROUP BY Genre ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT MIN(\"Length (m)\") FROM table_2_15063556_1 WHERE \"Country\" = 'Norway' AND \"Maximum Grade (%)\" = '15' AND \"Vertical Drop (m)\" < '122.22'", |
| "SELECT MAX(CAR_MAKES_PG_PG_AMPS_AMG_AMC_AMC_AMC_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AMG_AM", |
| "SELECT SUM(weight) FROM Farm WHERE region = 'Caribbean' AND species = 'Tuna';", |
| "SELECT \"tenure\" FROM table_2_12803398_3 WHERE \" courtesy title\" = 'yamashiro-no-kami'", |
| "SELECT name FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION BY name) as rn FROM (SELECT name, ROW_NUMBER() OVER (PARTITION", |
| "SELECT c.country_name, SUM(p.personnel_count) as total_personnel FROM countries c INNER JOIN peacekeeping_personnel p ON c.country_id = p.country_id GROUP BY c.country_name;", |
| "SELECT COUNT(\"Report\") FROM table_1_1140078_2 WHERE \"Race\" = 'Italian Grand Prix'", |
| "SELECT COUNT(CASE WHEN country = 'france' THEN 1 ELSE 0 END) FROM \"car_makers\" WHERE country = 'france' AND \"country\" = 'france'", |
| "SELECT State, (SUM(CASE WHEN Vaccinated = 'Yes' THEN 1 ELSE 0 END) * 100.0 / COUNT(CASE WHEN Vaccinated = 'Yes' THEN 1 ELSE 0 END)) as VaccinationPercentage FROM Patients WHERE Disease = 'Measles' GROUP BY State;", |
| "SELECT tournament FROM table_2_17915_7 WHERE 2011 = '1r'", |
| "SELECT name FROM poker_player WHERE earnings > 300000 AND people_id IN (SELECT people_id FROM people WHERE nationality = 'Russia');", |
| "SELECT state, COUNT(*) FROM hospitals WHERE beds >= 50 AND rural = true AND state_id NOT IN (SELECT state_id FROM hospitals WHERE beds < 50) GROUP BY state;", |
| "SELECT \"Sydney\" FROM table_2_12230393_8 WHERE \"Adelaide\" = 'yes' AND \"Gold Coast\" = 'no' AND \"Adelaide\" = 'yes'", |
| "SELECT SUM(bonus) FROM evaluation WHERE country = 'India' AND year_awarded = '2011'", |
| "SELECT organic, COUNT(DISTINCT product_name) FROM products_organic WHERE organic = true GROUP BY organic;", |
| "SELECT \"Written by\" FROM news_readership WHERE \"No. in series\" = '8' AND \"Directed by\" = 'Richard L. Bare'", |
| "SELECT \"Money_Rank\" FROM \"poker_player\" WHERE \"Earnings\" > (SELECT MAX(\"Earnings\") FROM \"poker_player\" WHERE \"People_ID\" = 7)", |
| "SELECT drug_name, MAX(rd_expenses) AS max_expenses, MIN(rd_expenses) AS min_expenses FROM drug_rd_expenses WHERE approval_country = 'US' AND approval_status = 'approved'", |
| "SELECT \"Score\" FROM table_2_12164513_1 WHERE \"Date\" = 'april 16'", |
| "SELECT COUNT(DISTINCT `orchestra`::int) FROM `orchestra` WHERE `record_company` = 'CD' OR `record_company` = 'DVD'", |
| "SELECT COUNT(*), COUNT(DISTINCT a.community) FROM Missions a JOIN Astronauts a ON a.leader_astronaut_id = a.community WHERE a.community IN ('Latino', 'Hispanic', 'Cuban');", |
| "SELECT \"Result\" FROM news_readership WHERE \"Week\" = '15' AND \"Game Site\" = 'memorial stadium'", |
| "SELECT ORCHESTRA, COUNT(DISTINCT CONDUCTOR_ID) as \"Record Company Shared\" FROM orchestra INNER JOIN conductor ON ORCHESTRA = conductor.Conductor_ID GROUP BY ORCHESTRA;", |
| "SELECT * FROM SocialImpactInvestments WHERE Sector = 'Agriculture' AND ESGScore > 85 AND InvestorCountry = 'France' ORDER BY InvestmentDate, ESGScore DESC;", |
| "SELECT \"Team\" FROM table_1_18341614_11 WHERE \"103lbs\" = '135lbs' AND \"Team\" = 'Tallon Ricci (White Pine)'", |
| "SELECT `role`, `street`, `city`, `state` FROM `Professionals` WHERE `city` LIKE 'West%'", |
| "SELECT AVG(habitat_size) FROM animal_habitat;", |
| "SELECT COUNT(\"Founded\") FROM table_2_1640927_1 WHERE \"Venue\" = 'villa park'", |
| "SELECT teacher_name FROM teacher WHERE NOT teacher_id IN (SELECT teacher_id FROM course_arrange);", |
| "SELECT COUNT(*) FROM incidents WHERE region = 'APAC' AND date_reported >= '2020-01-01' AND date_reported < '2021-01-01';", |
| "SELECT \"Lost\" FROM table_2_15331868_1 WHERE \"Points\" < '12' AND \"Drawn\" > '1'", |
| "SELECT winner_name, winner_rank_points FROM rankings WHERE winner_id = (SELECT MAX(winner_id) FROM rankings)", |
| "SELECT SUM(COA2_Emission), SUM(CO2_Emission) FROM chile_copper_export WHERE year IN (2016, 2017, 2018) AND year IN (2016, 2017, 2018) GROUP BY year;", |
| "SELECT \"Date\" FROM table_2_10883333_9 WHERE \"Venue\" = 'lake oval'", |
| "SELECT name, birth_date FROM people ORDER BY name;", |
| "SELECT mass_range, COUNT(*) FROM space_debris_by_mass GROUP BY mass_range;", |
| "SELECT home FROM news_readership WHERE \"Date\" = '27 march 2008'", |
| "SELECT teacher.Hometown FROM teacher WHERE teacher.Hometown LIKE ' %';", |
| "SELECT country FROM shipments WHERE product = 'Chemical E' AND shipped_date >= '2022-05-01' AND shipped_date < '2022-06-01' GROUP BY country;", |
| "SELECT MIN(Tie) FROM (SELECT T1.Tie FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie) AS T1 FROM (SELECT MIN(T2.Tie", |
| "SELECT Document_ID FROM Documents WHERE Paragraph_Text LIKE '2+';", |
| "SELECT AVG(rating) FROM hotels WHERE category = 'luxury' AND city = 'New York' AND rating > 4.5;", |
| "SELECT COUNT(DISTINCT \"Wins\") FROM news_readership WHERE \"Podiums\" = '5'", |
| "SELECT language FROM countrylanguage WHERE head_of_state = 'Beatrix'", |
| "SELECT mass FROM space_debris WHERE launch_date < '2010-01-01' AND launch_site = 'MEO' AND mass > 1000;", |
| "SELECT country FROM table_2_17290229_2 WHERE \"Score\" = '73-70-71-71=285'", |
| "SELECT SUM(CASE WHEN population > 100 THEN 1 ELSE 0 END) AS population, MAX(gnp) AS largest_gnp FROM livestock WHERE country IN ('India', 'Argentina') GROUP BY country;", |
| "SELECT citizen_id, COUNT(*) FROM feedback WHERE created_at >= '2023-01-01' AND created_at < '2023-12-31' GROUP BY citizen_id;", |
| "SELECT \"Venue\" FROM table_2_15767661_3 WHERE \"Attendance\" > '6,938'", |
| "SELECT Document_ID, Document_Name FROM Paragraphs ORDER BY Document_ID, Document_Name DESC LIMIT 1;", |
| "SELECT year, country, num_satellites FROM satellite_launches_by_year_country;", |
| "SELECT \"Nationality\" FROM table_2_1473672_8 WHERE \"Pick #\" = '117'", |
| "SELECT title FROM news_readership WHERE topic LIKE 'cartoon%' ORDER BY title;", |
| "SELECT incident_category FROM eu_ai_safety_incidents WHERE country IN ('Germany', 'France', 'UK') AND incident_category IN ('Data Privacy', 'Unintended Behavior')", |
| "SELECT \"Score\" FROM table_2_12261783_2 WHERE \"Opponent\" = 'Marquette'", |
| "SELECT country, \"English\" as lang, \"Dutch\" as lang FROM country WHERE country IN ('Afghanistan', 'Angola', 'Antigua and Barbuda', 'Aruba', 'Australia', 'Austria', 'Bahamas', 'Barbados', 'Belarus', 'Belgium', 'Belize', 'Bhutan', 'Bolivia', 'Bosnia and Herzegovina', 'Brunei', 'Brunei Darussalam', 'Bulgaria', 'Cuba', 'Cimeters', 'Czech Republic', 'Denmark', 'Djibouti', 'Dominica', 'Ecuador', 'Egypt', 'Fiji', 'Finland', 'France', 'Greece', 'Guatemala', 'Guinea', 'Haiti', 'Hungary', 'Ireland', 'Israel', 'Italy', 'Kazakhstan', 'Kuwait', 'Latvia', 'Lebanon', 'Luxembourg', 'Moldova', 'Monaco', 'Montenegro', 'Morocco', 'Netherlands', 'North Korea', 'North Macedonia', 'Norway', 'Oceania', 'Palau', 'Romania', 'Russia', 'Slovakia', 'Slovenia', 'Spain', 'Sweden', 'Switzerland', 'Turkey', 'Ukraine', 'United Kingdom', 'United States', 'Vatican', 'Venezuela', 'Vietnam', 'Yemen', 'Zambia', 'Zimbabwe', 'Afghanistan', 'Al", |
| "SELECT country, SUM(amount) FROM defense_spending WHERE continent = 'Oceania' AND year = 2018;", |
| "SELECT \"Nickname\" FROM news_readership WHERE \"Founded\" = '1857'", |
| "SELECT COUNT(DISTINCT `Employee_ID`) FROM `employee`;", |
| "SELECT MIN(price) FROM Menu WHERE category = 'Vegan' AND restaurant_id = (SELECT id FROM Restaurants WHERE name = 'VeganVibes');", |
| "SELECT \"Date\" FROM table_2_14163678_7 WHERE \"Home\" = 'hartford'", |
| "SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IN (SELECT \"Code\" FROM country WHERE \"Continent\" = 'Africa' AND \"Population\" < (SELECT MAX(\"Population\") FROM country WHERE \"Continent\" = 'Africa'))", |
| "SELECT MAX(avg_depth) FROM IndianOcean WHERE trench_name LIKE 'Java%';", |
| "SELECT \"Davids team\" FROM table_1_23575917_4 WHERE \"Lees team\" = 'Deborah Meaden and Mark Watson'", |
| "SELECT countryCode FROM country WHERE countryCode NOT IN 'United States' AND countryCode NOT IN 'United Kingdom' AND countryCode NOT IN 'Republic of China'", |
| "SELECT MAX(pressure) FROM deep_sea_pressure WHERE location = 'Challenger Deep' AND depth = 10994;", |
| "SELECT COUNT(DISTINCT \"Results\") FROM table_1_16185956_1 WHERE \"Incumbent\" = 'Doc Hastings'", |
| "SELECT COUNT(DISTINCT `CountryCode`) FROM `countrylanguage` WHERE `Language` = 'English' AND `Language` = 'Dutch'", |
| "SELECT RegionID, SUM(Amount) FROM Donations WHERE RegionID IN (1, 2, 3, 4) GROUP BY RegionID;", |
| "SELECT \"Score\" FROM table_2_18060797_3 WHERE \"Date\" = '5 october 2004'", |
| "SELECT name FROM singer WHERE number_of_songs > 1", |
| "SELECT game_genre, COUNT(DISTINCT player_id) FROM player GROUP BY game_genre HAVING COUNT(DISTINCT player_id) = 1", |
| "SELECT \"City\" FROM news_readership WHERE \"IATA\" = 'BVA'", |
| "SELECT pet_type, AVG(Age) as avg_age, MAX(Age) as max_age FROM pets GROUP BY pet_type;", |
| "SELECT SUM(military_sales.value) FROM military_sales;", |
| "SELECT \"Opponent\" FROM table_2_16251064_1 WHERE \"Final score\" = '2\u20133 l' AND \"Season\" = '2008\u201309'", |
| "SELECT title FROM news_readership WHERE country = 'India' ORDER BY title;", |
| "SELECT space_missions.agency_id, SUM(space_missions.cost) FROM space_missions JOIN space_agencies ON space_missions.agency_id = space_agencies.id WHERE space_missions.launch_date = space_agencies.launch_date;", |
| "SELECT \"Round\" FROM table_2_17401571_2 WHERE \"Opponent\" = 'clyde'", |
| "SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM \"hiring\" WHERE \"shop\" IN (SELECT \"shop\" FROM", |
| "SELECT SUM(CASE WHEN cases.case_outcome = 'Won' THEN 1 ELSE 0 END) FROM cases WHERE casesoffice_id = 1;", |
| "SELECT \"Element\" FROM table_1_15366768_1 WHERE \"isotopic mass ( u )\" = '158.925 34(2)'", |
| "SELECT treatment_type_description, SUM(cost_of_treatment) FROM treatment_types WHERE country = 'India' GROUP BY treatment_type_description;", |
| "SELECT region, AVG(amount) FROM org_climate_finance WHERE region IN ('americas', 'europe') GROUP BY region;", |
| "SELECT \"Coreceptor\" FROM table_1_29871617_1 WHERE \"Chromosomal location\" = '11q22.2-q22.3'", |
| "SELECT AVG(Earnings) FROM poker_player WHERE Height > 200;", |
| "SELECT name FROM organizations WHERE org_id IN (SELECT org_id FROM organizations WHERE gov_funding = TRUE AND private_funding = FALSE) AND org_id NOT IN (SELECT org_id FROM organizations WHERE gov_funding = TRUE AND private_funding = FALSE);", |
| "SELECT \"Starter\" FROM table_1_14342592_4 WHERE \"Player\" = 'Schulte'", |
| "SELECT COUNT(DISTINCT country_code) FROM players;", |
| "SELECT COUNT(*) FROM RuralHealthFacility8 WHERE diagnosis IN ('Anxiety', 'Depression');", |
| "SELECT \"Home team score\" FROM table_2_10775038_16 WHERE \"Venue\" = 'brunswick street oval'", |
| "SELECT country, name FROM `country` WHERE `Population` IN (SELECT `Population` FROM `country` ORDER BY `Population` DESC LIMIT 3)", |
| "SELECT mineral, SUM(quantity) FROM extraction GROUP BY mineral;", |
| "SELECT \"Date\" FROM table_2_13034488_5 WHERE \"Attendance\" > '20,066' AND \"Home\" = 'tampa bay'", |
| "SELECT `transcript_date`, `other_details` FROM `Transcripts` WHERE `transcript_id` IS NOT NULL ORDER BY `transcript_date` DESC LIMIT 1", |
| "SELECT COUNT(client_id) FROM regulatory_compliance WHERE compliance_status = 'Non-compliant';", |
| "SELECT \"Away team\" FROM table_2_10790804_18 WHERE \"Away team score\" = '15.15 (105)'", |
| "SELECT \"CountryCode\" FROM `country` WHERE `Continent` = 'Europe' AND `Year` > 1950", |
| "SELECT SUM(premium) FROM policyholders WHERE state = 'New Jersey' AND policy_type = 'Auto';", |
| "SELECT \"Production code\" FROM news_readership WHERE \"No. in series\" = '96'", |
| "SELECT COUNT(DISTINCT \"degree_summary_name\") FROM \"Degree_Programs\" WHERE \"degree_summary_description\" LIKE 'Master%'", |
| "SELECT program_id, city, funding_source, year, total_funding FROM Education WHERE funding_source = 'Montreal Arts Council' AND city = 'Montreal' AND year = 2021 AND total_funding = (SELECT SUM(total_funding) FROM Education WHERE funding_source = 'Montreal Arts Council' AND city = 'Montreal' AND year = 2021);", |
| "SELECT \"Commissioned\" FROM table_2_1228289_2 WHERE \"Country\" = 'Vietnam'", |
| "SELECT SING FROM news_readership WHERE NOT EXISTS (SELECT SING FROM song WHERE song.Singer_ID = singer.Singer_ID)", |
| "SELECT DISTINCT WorkoutType FROM Workout;", |
| "SELECT \"Country\" FROM news_readership WHERE \"Film title used in nomination\" = 'The Garden of the Finzi-Continis'", |
| "SELECT `contestant_number`, `contestant_name` FROM `area_code_state` WHERE `area_code` = 201 ORDER BY `contestant_name` DESC;", |
| "SELECT country, SUM(production) FROM seafood_production_v3 WHERE is_organic AND production > 20000 AND country IN ('Norway', 'Canada', 'Chile', 'Chile', 'Canada', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile', 'Norway', 'Canada', 'Chile", |
| "SELECT MIN(\"Share\") FROM table_2_16225725_4 WHERE \"Episode\" = 'farmer picks a wife'", |
| "SELECT Template_ID FROM Templates WHERE Template_Type_Code = 'PP' OR Template_Type_Code = 'PPT';", |
| "SELECT gender, AVG(age) FROM readers WHERE interest LIKE 'opinion' GROUP BY gender;", |
| "SELECT \"Attendance\" FROM table_2_16644252_2 WHERE \"Date\" = '11/11/01'", |
| "SELECT COUNT(DISTINCT `conductor`::text) FROM `conductor`", |
| "SELECT SUM(quantity) FROM quantities WHERE source_id IN (1, 2);", |
| "SELECT \"Week\" FROM news_readership WHERE \"Date\" = 'December 17'", |
| "SELECT name, grade FROM (SELECT name, grade FROM Highschooler WHERE country = 'India' UNION SELECT name, grade FROM Highschooler WHERE country = 'Argentina' UNION SELECT name, grade FROM Highschooler WHERE country = 'India' UNION SELECT name, grade FROM Highschooler WHERE country = 'Argentina') AS highschoolers", |
| "SELECT country, MAX(year_preserved) FROM art_forms WHERE country IN (1, 2) GROUP BY country;", |
| "SELECT SUM(\"Title\") FROM table_1_12294557_3 WHERE \"U.S. airdate\" = 'April 17, 2009'", |
| "SELECT name FROM Highschooler WHERE student_id = 1381", |
| "SELECT first_flight FROM astronauts WHERE country = 'South Korea' AND name LIKE 'Yi';", |
| "SELECT \"Release date\" FROM news_readership WHERE \"L2 cache\" = '9/11' AND \"Turbo\" = '9/11' AND \"Price ( USD )\" = '$346'", |
| "SELECT MIN(COALESCE(SUM(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE", |
| "SELECT AVG(investment) FROM climate_finance_investments WHERE country IN ('Iran', 'Iraq', 'Israel') AND year = 2018;", |
| "SELECT \"Language/Rebroadcast\" FROM table_2_18536769_1 WHERE \"Owner\" = 'CBC Radio One'", |
| "SELECT s.section_name FROM Sections s WHERE s.section_name IN (SELECT s2.section_name FROM Sections s2 WHERE s2.section_name LIKE 'reverse% alphabetical%') ORDER BY s2.section_name;", |
| "SELECT SUM(cost) FROM Dam WHERE location = 'Spain' AND build_date >= '1991-01-01' AND build_date < '2023-01-01';", |
| "SELECT \"Date\" FROM table_2_16880965_1 WHERE \"Promotor\" = 'Frank Moloney' AND \"Opponent\" = 'Georgi Iliev'", |
| "SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age FROM (SELECT Fname, age", |
| "SELECT element, SUM(quantity) FROM production_data WHERE year IN (2019, 2021) GROUP BY element;", |
| "SELECT COUNT(\"Score in the final\") FROM table_1_26202940_6 WHERE \"Score in the final\" = '6\u20133, 6\u20134, 7\u20136 (13\u201311)'", |
| "SELECT treatment_type_description, cost_of_treatment FROM treatment_types WHERE country = 'India'", |
| "SELECT COUNT(*) FROM trains WHERE city = 'Tokyo';", |
| "SELECT \"Fin. Pos\" FROM news_readership WHERE \"Points\" = '13'", |
| "SELECT shop.Name FROM shop WHERE NOT shop.Shop_ID IN (SELECT shop.Shop_ID FROM shop WHERE shop.Employee_ID IS NOT NULL);", |
| "SELECT MIN(successful_cases) FROM attorneys WHERE ethnicity = 'Latinx';", |
| "SELECT \"Score\" FROM table_2_17231246_6 WHERE \"Place\" = '1' AND \"Country\" = 'Argentina' AND \"Player\" = 'raymond floyd'", |
| "SELECT model_list.maker, MIN(CarMakers.year) as earliest_year FROM car_makers JOIN models ON CarMakers.model_id = models.model_id JOIN car_names ON models.cars_id = car_names.cars_id WHERE CarMakers.country = 'japan' AND CarMakers.year = MIN(CarMakers.year) GROUP BY model_list.maker;", |
| "SELECT Contracts.ContractID, Contracts.ContractValue FROM Contracts;", |
| "SELECT \"BlackBerry OS\" FROM table_1_14260687_3 WHERE \"Symbian\" = '10.4'", |
| "SELECT teacher.Name, course.Name FROM teacher JOIN course_arrange ON teacher.Name = course_arrange.Classify FROM teacher JOIN course ON course_arrange.Classify = course.Course_Name;", |
| "SELECT SUM(volume_used) FROM water_usage WHERE state IN ('Arizona', 'Nevada');", |
| "SELECT \"Competition\" FROM news_readership WHERE \"Year\" = '2008' AND \"Surface\" = 'carpet' AND \"Date\" = '31 jan'", |
| "SELECT DISTINCT `singer`.name FROM `singer` WHERE `singer`.sales > 300000;", |
| "SELECT category, SUM(allocated_amount) FROM Budget WHERE year = 2023 GROUP BY category;", |
| "SELECT \"Team\" FROM table_2_10660351_3 WHERE \"Laps\" = '159' AND \"Time/Retired\" = '6:30:02.3733'", |
| "SELECT \"Song_Name\", \"Age\" FROM \"concert\" WHERE \"Singer_ID\" = (SELECT MIN(\"Age\") FROM \"concert\" WHERE \"Singer_ID\" = \"3\")", |
| "SELECT SupplierName, AVG(AvgFabricWaste) as AvgFabricWaste FROM TextileSuppliers WHERE Region = 'NY' AND SupplierID IN (SELECT SupplierID FROM TextileSuppliers WHERE Region = 'NY' AND AvgFabricWaste > 0) GROUP BY SupplierName;", |
| "SELECT \"Winning driver\" FROM table_2_1140110_1 WHERE \"Date\" = '24 august'", |
| "SELECT shop.Shop_Name FROM shop WHERE shop.Shop_ID IS NULL;", |
| "SELECT AVG(revenue) FROM RetailSales WHERE country = 'Mexico' AND garment_type = 'Jeans' AND year = 2021;", |
| "SELECT \"Date\" FROM table_2_17026847_3 WHERE \"Home\" = 'Olimpia'", |
| "SELECT MIN(Earnings) FROM poker_player WHERE people_id = 1", |
| "SELECT PropertyID, Price, SustainabilityScore, Neighborhood, Size FROM Properties WHERE SustainabilityScore >= 60 AND Neighborhood = 'RenewableHeights' ORDER BY Price, Size, SustainabilityScore, Neighborhood, Size DESC LIMIT 3;", |
| "SELECT \"Population\" FROM table_1_171236_2 WHERE \"Official Name\" = 'Cardwell'", |
| "SELECT MAX(Sum('Shares')) as 'Max Shares', MIN(Sum('Shares')) as 'Min Shares' FROM performance WHERE 'Type' != 'Live Final';", |
| "SELECT SUM(revenue) FROM events WHERE name LIKE 'Virtual Tourism%' AND country = 'USA';", |
| "SELECT AVG(\"Year\") FROM (SELECT \"Year\" FROM table_2_12207976_1 WHERE \"Mixed doubles\" = 'nathan robertson gail emms' UNION SELECT \"Year\" FROM table_2_12207976_1 WHERE \"Mixed doubles\" = 'nathan robertson gail emms') AS \"year\"", |
| "SELECT country, COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_makers\" WHERE (SELECT COUNT(CountryId) FROM \"car_m", |
| "SELECT COUNT(*) FROM Stations WHERE Electric = true;", |
| "SELECT \"European competitions\" FROM table_2_13291113_1 WHERE \"European competitions\" = 'eurocup regular season'", |
| "SELECT `name`, `date` FROM `battle` WHERE `name` = 'Lettice' INTERSECT SELECT `name`, `date` FROM `battle` WHERE `name` = 'HMS Atalanta'", |
| "SELECT state, COUNT(*) FROM Licenses WHERE issued_date >= '2022-01-01' GROUP BY state;", |
| "SELECT \"Driver\" FROM table_2_13599687_53 WHERE \"3rd places\" = '23'", |
| "SELECT AVG(grade) FROM (SELECT student_id, AVG(grade) as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student_id, friend_id, 1 as grade FROM (SELECT student", |
| "SELECT SUM(Budget) FROM Social_Services_Dept WHERE Service LIKE 'C%'", |
| "SELECT \"Round\" FROM table_2_17678435_6 WHERE \"Player\" = 'phil graham'", |
| "SELECT s.section_name, s.section_description FROM `Sections` s;", |
| "SELECT COUNT(DISTINCT worker_id) FROM unions WHERE union_name IN ('Teamsters', 'UAW');", |
| "SELECT \"IHSAA Class (Football)\" FROM table_2_18722758_1 WHERE \"School\" = 'generals'", |
| "SELECT name FROM singer ORDER BY net_worth_millions;", |
| "SELECT co_owners.name, co_owners.property_id FROM co_owners INNER JOIN properties ON co_owners.id = properties.id WHERE properties.address LIKE 'Portland%';", |
| "SELECT \"Winning constructor\" FROM table_2_13795349_2 WHERE \"Winning driver\" = 'felice nazzaro'", |
| "SELECT course_name, course_id FROM courses WHERE section_count <= 2", |
| "SELECT MAX(energy_efficiency_rating) FROM hydro_dams WHERE country = 'Canada';", |
| "SELECT AVG(\"Goals\") FROM table_2_1590321_69 WHERE rank < 8 AND \"Matches\" = 261", |
| "SELECT model FROM car_makers WHERE weight < (SELECT AVG(weight) FROM car_makers)", |
| "SELECT s.name FROM Suppliers s WHERE s.country = 'France' AND s.supplier_id IN (SELECT id FROM RecycledMaterials);", |
| "SELECT \"Sport\" FROM table_2_1640927_1 WHERE \"Founded\" > '1874' AND \"Club\" = 'birmingham city'", |
| "SELECT name FROM poker_player WHERE earnings > 300000 AND people_id = 1;", |
| "SELECT ota_name, SUM(bookings) AS total_bookings FROM ota_readership WHERE country = 'Canada' AND ota_name LIKE 'OTA%' GROUP BY ota_name ORDER BY total_bookings DESC LIMIT 3;", |
| "SELECT \"Opponent\" FROM news_readership WHERE \"Date\" = 'September 8'", |
| "SELECT \"Code\" FROM country WHERE \"Language\" != 'English'", |
| "SELECT species_id, description FROM conservation_efforts WHERE species_id IN (1, 2);", |
| "SELECT \"DVD title\" FROM table_2_16581695_7 WHERE \"Release date\" = 'november 17, 2009' AND \"Aspect ratio\" = '16:9'", |
| "SELECT AVG(Earnings) FROM poker_player WHERE Height > 200;", |
| "SELECT country, (SUM(CASE WHEN urban THEN 1 ELSE 0 END) * 100.0 / SUM(CASE WHEN urban THEN 1 ELSE 0 END)) as urban_percentage FROM population WHERE urban = true AND year = 2020;", |
| "SELECT \"Yards\" FROM table_2_13886661_1 WHERE \"Completion %\" = '64.9%'", |
| "SELECT * FROM \"Addresses\" WHERE line_1 IS NOT NULL AND line_2 IS NOT NULL;", |
| "SELECT AVG(ResponseTime) FROM Feedback WHERE Location = 'Rural' AND ResponseTime > 100;", |
| "SELECT MAX(\"Points\") FROM table_1_23308178_8 WHERE \"Opponent\" = 'Argentina'", |
| "SELECT COUNT(DISTINCT \"People_ID\") FROM \"poker_player\";", |
| "SELECT EquipmentType, SUM(CO2Emission) FROM EmissionData WHERE Age > 8 AND EquipmentID NOT IN (SELECT EquipmentID FROM EmissionData WHERE EquipmentType = 'Excavator') GROUP BY EquipmentType;", |
| "SELECT COUNT(DISTINCT \"Class\") FROM table_2_1169552_5 WHERE \"Class\" = 'P14'", |
| "SELECT * FROM 'airlines' WHERE (SELECT COUNT(*) FROM 'flights' WHERE 'sourceAirport' = 'ANV' OR 'sourceAirport' = 'AKK') >= 10", |
| "SELECT DisasterType, SUM(Amount) FROM DisasterFunds WHERE FundID IS NOT NULL GROUP By DisasterType;", |
| "SELECT \"Vocal Percussionist\" FROM table_1_28715942_5 WHERE \"Arranger(s)\" = 'Alexei Kalveks and Dave Brennan'", |
| "SELECT teacher.Name FROM teacher WHERE teacher.Teachership > 2;", |
| "SELECT MAX(habitat_size) FROM animal_habitat;", |
| "SELECT \"Place of birth\" FROM table_2_18890528_2 WHERE \"Elector\" = 'soffredo'", |
| "SELECT channel, produd_code FROM news_readership WHERE topic = 'Cartoon' ORDER BY produd_code DESC LIMIT 1;", |
| "SELECT Nation, Year, Expenditure, ROW_NUMBER() OVER (ORDER BY Expenditure DESC) as Rank FROM MilitaryInnovation WHERE Year >= 2019 AND Year < 2021 AND Nation IN ('USA', 'China', 'Russia') ORDER BY Rank;", |
| "SELECT \"Supercopa Sudamericana 1992\" FROM table_2_15013825_8 WHERE \"Team\" = 'santos'", |
| "SELECT COUNT(DISTINCT owners.owned_by) FROM owners WHERE owners.owned_by IS NULL;", |
| "SELECT AVG(size) FROM property WHERE city = 'Seattle' AND coowned = TRUE;", |
| "SELECT \"Date\" FROM table_2_15764352_5 WHERE \"Away\" = 'broadview hawks'", |
| "SELECT Template_Type_Code, version_number FROM Templates WHERE version_number > 5", |
| "SELECT account_number, alert_type, alert_date FROM fraud_alerts WHERE alert_type = 'Suspicious Activity' AND alert_date = '2022-01-01';", |
| "SELECT \"Game\" FROM table_2_17081606_3 WHERE \"Road Team\" = 'Seattle' AND \"Date\" = 'may 24'", |
| "SELECT \"name\" FROM \"city\" WHERE \"Population\" BETWEEN 160000 AND 900000", |
| "SELECT AVG(num_employees) FROM workplaces WHERE country = 'USA' AND is_unionized = true;", |
| "SELECT \"Team\" FROM news_readership WHERE \"College\" = 'lawrence tech'", |
| "SELECT name FROM news_readership WHERE country = 'India' AND language = 'English' AND series_name = 'Ben Jones'", |
| "SELECT year, topic, COUNT(*) FROM ai_safety_research WHERE topic LIKE 'AI safety%' GROUP BY year, topic;", |
| "SELECT \"High rebounds\" FROM table_1_23186738_10 WHERE \"Record\" = '27-54'", |
| "SELECT COUNT(DISTINCT `Employee_ID`) FROM `employee`;", |
| "SELECT SUM(square_footage) FROM properties WHERE city = 'Boston' AND wheelchair_accessible = true;", |
| "SELECT \"Time/Retired\" FROM table_2_1122182_1 WHERE \"Constructor\" = 'maserati' AND \"Grid\" > '10' AND \"Laps\" > '2'", |
| "SELECT country, COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `Language` > '2' GROUP BY `CountryCode` HAVING COUNT(DISTINCT `Language`) > 2", |
| "SELECT fare FROM fares WHERE line = 'blue' AND passenger_type = 'adult' AND fare > 2.50;", |
| "SELECT \"Away team\" FROM table_2_10783853_15 WHERE \"Home team\" = 'south melbourne'", |
| "SELECT year FROM matches WHERE country IN ('India', 'Argentina') GROUP BY year ORDER BY COUNT(*) DESC, year DESC LIMIT 1;", |
| "SELECT city, impact FROM local_economy WHERE city IN ('New York', 'Los Angeles') AND impact > 1000;", |
| "SELECT \"Depth\" FROM table_1_25675509_1 WHERE \"Longitude\" = '158.091\u00b0 e'", |
| "SELECT country FROM singer WHERE age > 20", |
| "SELECT Title, Birthplace FROM Artworks WHERE Genre = 'Post-Impressionism' AND ArtistID = (SELECT ArtistID FROM Artists WHERE Name = 'Vincent van Gogh');", |
| "SELECT \"High assists\" FROM news_readership WHERE \"Team\" = 'Oklahoma City'", |
| "SELECT name FROM singer WHERE birth_year IN (1948, 1949)", |
| "SELECT SUM(cases) FROM infectious_disease WHERE location = 'Africa';", |
| "SELECT SUM(\"Attendance\") FROM table_2_11821711_7 WHERE \"Visitor\" = 'Toronto'", |
| "SELECT department_name, department_id FROM `Departments` WHERE department_id IN (SELECT department_id FROM `Degree_Programs` WHERE `degree_summary_description` LIKE 'max%')", |
| "SELECT species_observed FROM TundraBiologyStudy WHERE year = 2000;", |
| "SELECT \"Season #\" FROM table_1_28019988_5 WHERE \"Production code\" = 'bdf405'", |
| "SELECT AVG(singer.age) as avg_age, MIN(singer.age) as min_age, MAX(singer.age) as max_age FROM singer WHERE country = 'France' GROUP BY country;", |
| "SELECT tech, specs FROM military_tech WHERE update_date >= '2021-01-01' AND update_date < '2022-01-01' AND tech IN ('Drones', 'Artificial Intelligence')", |
| "SELECT \"Date\" FROM table_2_10869646_1 WHERE \"Home team\" = 'carlton'", |
| "SELECT COUNT(DISTINCT Document_Name) FROM Documents WHERE Template_Type_Code = 'PPT' AND Template_Details LIKE 'PT%';", |
| "SELECT job_category, AVG(weekly_wage) AS avg_wage FROM labor_stats WHERE job_category IN (SELECT job_category FROM labor_stats WHERE job_category LIKE 'Engineering%' UNION ALL SELECT job_category FROM labor_stats WHERE job_category LIKE 'Management%') GROUP BY job_category;", |
| "SELECT team FROM news_readership WHERE laps < 105 AND grid < 18 AND points = 11", |
| "SELECT Document_ID, COUNT(*) FROM Paragraphs WHERE Template_ID IN (SELECT Template_ID FROM Documents) GROUP BY Document_ID ORDER BY Document_ID DESC;", |
| "SELECT SUM(amount) FROM MilitaryEquipmentSales WHERE country = 'USA' AND year = 2020;", |
| "SELECT \"Examples\" FROM table_1_1058787_1 WHERE \"Existential Question [ not in citation given ]\" = 'Can I Love?'", |
| "SELECT PetType, AVG(PetAge) FROM Pets WHERE PetType = 'dog' AND PetAge > 100 GROUP BY PetType", |
| "SELECT water_usage_tx.sector, water_usage_tx.usage FROM water_usage_tx WHERE water_usage_tx.sector = 'Agriculture' AND water_usage_tx.usage > 0;", |
| "SELECT \"Notes\" FROM table_2_18662643_8 WHERE \"Rank\" < '2'", |
| "SELECT airline, COUNT(*) FROM news_readership WHERE country = 'India' GROUP BY airline ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT (SUM(CASE WHEN type = 'Training' THEN 1 ELSE 0 END) * 100.0 / COUNT(*) * 100.0) AS percentage FROM inclusion_efforts WHERE region = 'Midwest' AND type = 'Training';", |
| "SELECT \"Away team\" FROM table_2_10767118_16 WHERE \"Venue\" = 'Glenferrie Oval'", |
| "SELECT Template_Type_Code, Template_Type_Description FROM Ref_Template_Types;", |
| "SELECT conditions.condition, COUNT(*) FROM conditions WHERE conditions.patient_id = patients.id AND conditions.patient_id = treatments.id AND conditions.treatment_date >= '2022-01-01' AND conditions.treatment_date < '2022-12-31' GROUP BY conditions.condition;", |
| "SELECT \"1st leg\" FROM table_2_18713505_1 WHERE \"Team 2\" = 'Asil Lysi'", |
| "SELECT AVG(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST", |
| "SELECT AVG(ph) FROM saltwater_aquaculture WHERE location = 'North Atlantic' AND ph > 7.5;", |
| "SELECT \"First elected\" FROM table_1_1342451_38 WHERE \"Incumbent\" = 'Richard S. Whaley'", |
| "SELECT teacher.Name FROM teacher ORDER BY teacher.Age;", |
| "SELECT SUM(capacity) FROM wind_farms WHERE state = 'California';", |
| "SELECT \"Game\" FROM table_2_17104677_11 WHERE \"Date\" = 'September 13'", |
| "SELECT conductor.name FROM conductor ORDER BY COUNT(DISTINCT year_of_work) DESC LIMIT 1", |
| "SELECT COUNT(*) FROM landfills WHERE location = 'Tokyo' AND capacity > 100000;", |
| "SELECT SUM(\"Crowd\") FROM table_2_10775890_15 WHERE \"Home team\" = 'hawthorn'", |
| "SELECT name FROM poker_player ORDER BY final_table_made ASC;", |
| "SELECT product_name, price FROM products WHERE country_of_manufacture NOT IN ('United States', 'Canada') AND is_on_sale = FALSE;", |
| "SELECT \"Issue Price (Proof)\" FROM news_readership WHERE \"Mintage (Proof)\" = '29,586'", |
| "SELECT pet_type, MAX(CASE WHEN pet_age > 10 THEN pet_age ELSE 10 END) as max_age, CASE pet_type WHEN 'cat' THEN 'Small' WHEN 'dog' THEN 'Medium' WHEN 'cat' THEN 'Large' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN 'Large' WHEN 'goat' THEN 'Small' WHEN 'cat' THEN 'Small' WHEN 'goat' THEN", |
| "SELECT num_initiatives FROM open_data WHERE country = 'Europe' AND year = 2020;", |
| "SELECT \"Surface\" FROM table_2_1676941_1 WHERE \"Score in final\" = '3-6, 6-3, 6-2'", |
| "SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major, age FROM (SELECT major", |
| "SELECT City, AVG(AmountDonated) as AvgDonation FROM Donations WHERE DonationDate >= '2021-01-01' AND DonationDate < '2022-01-01' GROUP By City;", |
| "SELECT SUM(\"Lane\") FROM table_2_16652101_3 WHERE \"Country\" = 'Austria'", |
| "SELECT `Continent` FROM `countrylanguage` WHERE `CountryCode` = 'AG' AND `Language` = 'AG'", |
| "SELECT SUM(quantity_sold) FROM supplier_data_2 WHERE is_organic = TRUE;", |
| "SELECT \"Enrollment\" FROM table_1_24216139_2 WHERE \"Institution\" = 'Cougars'", |
| "SELECT COUNT(DISTINCT `Language`) FROM `countrylanguage` WHERE `CountryCode` = 'AF'", |
| "SELECT COUNT(*) FROM UNESCO_SITES WHERE region = 'Oceania';", |
| "SELECT \"Deployable military (2011, thousands)\" FROM table_1_17971449_2 WHERE \"GDP (nominal) (2010, US$ millions)\" = '468539'", |
| "SELECT PetType, PetAge FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE PetID = (SELECT PetID FROM Pets WHERE Pet", |
| "SELECT school_id, AVG(progress) FROM lifelong_learning WHERE student_id IN (SELECT student_id FROM lifelong_learning WHERE school_id IN (SELECT school_id FROM schools WHERE student_id IN (SELECT student_id FROM lifelong_learning WHERE progress > 75))) GROUP BY school_id;", |
| "SELECT \"Result\" FROM table_2_1517334_1 WHERE \"Date\" = '7 june 2000'", |
| "SELECT country FROM countries WHERE country NOT IN (SELECT country FROM car_makers)", |
| "SELECT bridge_type, construction_year, COUNT(*) FROM Bridges WHERE state = 'CA' AND seismic_retrofit_need = TRUE GROUP BY bridge_type, construction_year;", |
| "SELECT \"Operator\" FROM table_1_28035004_1 WHERE \"Bodybuilder\" = 'Roe'", |
| "SELECT episode FROM news_readership WHERE country = 'India'", |
| "SELECT City, Model, Year, Adoption FROM ElectricVehicleAdoption WHERE City IN ('Los Angeles', 'New York', 'Beijing', 'Berlin', 'Tokyo') AND Year = 2020 AND Adoption > 15.0;", |
| "SELECT \"Home team score\" FROM table_2_10750694_7 WHERE \"Venue\" = 'lake oval'", |
| "SELECT `role_code`, `street`, `city`, `state` FROM `Professionals` WHERE `city` LIKE 'West%'", |
| "SELECT JobCategory, SUM(CASE WHEN ApplicantType = 'Veteran' THEN 1 ELSE 0 END) as VeteranApplicants, SUM(CASE WHEN ApplicantType = 'Non-Veteran' THEN 1 ELSE 0 END) as NonVeteranApplicants FROM JobApplicants WHERE JobLocation = 'California' AND ApplicantType = 'Veteran' GROUP BY JobCategory;", |
| "SELECT team FROM table_2_13619135_4 WHERE score = 'l 88\u201394 (ot)'", |
| "SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender FROM (SELECT Fname, gender", |
| "SELECT COUNT(smart_contracts.contract_id) FROM smart_contracts WHERE developer_community IN ('Women in Tech', 'Minority Ethnic Group', 'LGBTQ+', 'Indigenous People', 'People with Disabilities', 'Young Developers');", |
| "SELECT AVG(\"Points\") FROM table_2_1262579_2 WHERE \"Year\" < '1964'", |
| "SELECT Document_Name, Document_ID, COUNT(*) FROM Documents GROUP BY Document_Name, Document_ID HAVING COUNT(*) > 1", |
| "SELECT name FROM organizations WHERE region = 'Asia' AND involvement = 'social good' AND name LIKE 'Tech4Good%'", |
| "SELECT \"Time\" FROM table_2_15764352_9 WHERE \"Away\" = 'high park demons'", |
| "SELECT p1.Poker_Player_ID, p1.readership FROM poker_player p1 WHERE p1.readership IS NOT NULL ORDER BY p1.readership DESC;", |
| "SELECT SUM(donation_amount) FROM donors WHERE country = 'USA' AND donation_date >= '2022-04-01' AND donation_date < '2022-07-01';", |
| "SELECT \"To par\" FROM table_2_1323399_2 WHERE \"Runner(s)-up\" = 'John Senden'", |
| "SELECT SUM(CASE WHEN `charge_type` = 'WALK' THEN `cost_of_treatment` ELSE 0 END) FROM treatment_types WHERE `charge_type` = 'WALK' AND `charge_amount` > 0;", |
| "SELECT COUNT(*) FROM transactions WHERE product LIKE 'Non-GMO%' AND region = 'Midwest';", |
| "SELECT \"Opponent\" FROM news_readership WHERE country = 'India' AND \"Date\" = 'july 16'", |
| "SELECT Template_Type_Code FROM Ref_Template_Types GROUP BY Template_Type_Code < 3 HAVING COUNT(*) = 3", |
| "SELECT COUNT(permit_id) FROM building_permits WHERE building_type = 'Commercial' AND state = 'New York' AND issue_date >= '2021-01-01' AND issue_date < '2022-01-01';", |
| "SELECT \"Institution\" FROM table_1_262514_1 WHERE \"Nickname\" = 'Ravens'", |
| "SELECT Country FROM 'airlines' WHERE 'JetBlue Airways' = 'JetBlue Airways'", |
| "SELECT account_balance FROM shariah_compliant_finance WHERE customer_id IN (SELECT id FROM shariah_compliant_finance WHERE country = 'India') ORDER BY account_balance DESC LIMIT 1;", |
| "SELECT \"HT\" FROM table_1_13869651_3 WHERE \"Model Number\" = 'Athlon X2 5200B'", |
| "SELECT Document_ID FROM Documents WHERE Paragraph_Text LIKE '1-2'", |
| "SELECT Site_Name, AVG(Average_Temperature) AS Avg_Temperature FROM Production_Sites WHERE Site_ID IN (SELECT Site_ID FROM Production_Sites WHERE Average_Temperature < 0) GROUP BY Site_Name;", |
| "SELECT \"2009\" FROM table_2_10510022_2 WHERE \"2009\" = 'W'", |
| "SELECT shop.Name FROM shop JOIN employee ON shop.Shop_ID = employee.Shop_ID ORDER BY COUNT(employee.Employee_ID) DESC LIMIT 1", |
| "SELECT ProgramName, AVG(DonationAmount) AS AvgDonationAmount FROM Programs GROUP BY ProgramName;", |
| "SELECT \"Result\" FROM news_readership WHERE \"Arena\" = 'A' AND \"Match\" > '16'", |
| "SELECT name FROM poker_player ORDER BY final_Table_Made DESC;", |
| "SELECT product_id, certification_name FROM product_labor_certifications WHERE certification_id IN (SELECT product_id FROM labor_certifications);", |
| "SELECT \"division\" FROM news_readership WHERE \"result\" = '0\u20132'", |
| "SELECT model FROM model_list WHERE weight < 3500 AND \"Ford Motor Company\" != 'Ford Motor Company'", |
| "SELECT Country, AVG(YearsOfExperience) OVER (PARTITION BY Country) AS AvgYearsOfExperience FROM ArtistsDemographics WHERE Country IN ('India', 'Argentina') GROUP BY Country;", |
| "SELECT \"Run 1\" FROM news_readership WHERE \"Athletes\" = 'Theo Kitt & Friedrich Kuhn'", |
| "SELECT course_name, course_id FROM `Courses` WHERE section_count < 2", |
| "SELECT COUNT(DISTINCT species) FROM species_inventory WHERE region = 'Indian Ocean';", |
| "SELECT \"Position\" FROM table_1_12165135_1 WHERE \"Overall Pick #\" = '17'", |
| "SELECT airline FROM news_readership WHERE country = 'India' AND readership < 200", |
| "SELECT MIN(shipment_weight) FROM shipments WHERE port_id = (SELECT port_id FROM ports WHERE port_name = 'Port of Tokyo') AND ship_date >= '2018-01-01' AND ship_date < '2018-02-15';", |
| "SELECT \"Surface\" FROM table_2_1028366_6 WHERE \"Outcome\" = '14 june 1999' AND \"Topic\" = 'eastbourne'", |
| "SELECT orchestra_conductor FROM orchestra WHERE orchestra_id IN (SELECT orchestra_id FROM orchestra WHERE year_of_work < 2003 UNION SELECT orchestra_id FROM orchestra WHERE year_of_work > 2003) UNION SELECT orchestra_conductor FROM orchestra WHERE orchestra_id IN (SELECT orchestra_id FROM orchestra WHERE year_of_work > 2003 UNION SELECT orchestra_id FROM orchestra WHERE year_of_work < 2003);", |
| "SELECT name, year FROM military_innovation WHERE country IN ('China', 'Russia', 'India', 'Brazil', 'South Africa')", |
| "SELECT \"Money ( $ )\" FROM table_2_17231211_7 WHERE \"Place\" = 't4' AND \"Player\" = 'ben crenshaw' AND \"Place\" = 't4'", |
| "SELECT DISTINCT `battle`.name FROM `battle` WHERE `battle`.country = 'Bulgaria' AND `battle`.country = 'Latin' AND `battle`.name = 'Kaloyan' INTERSECT SELECT DISTINCT `battle`.name FROM `battle` WHERE `battle`.country = 'Bulgaria' AND `battle`.country = 'Latin' AND `battle`.name = 'Baldwin I'", |
| "SELECT (COUNT(CASE WHEN city = 'New Orleans' THEN 1 END) * 100.0 / COUNT(CASE WHEN city = 'New Orleans' THEN 1 END)) FROM Visitors WHERE event_name = 'Jazz Festival' AND city = 'New Orleans';", |
| "SELECT \"School/Club Team\" FROM table_2_15463188_5 WHERE \"Season\" = '2006-2012'", |
| "SELECT MAX(accelerate) FROM (SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as MaxAccelerate FROM \"car_makers\" WHERE \"Maker\" = 'ford' UNION SELECT Cylinders, MAX(Accelerate) as", |
| "SELECT SUM(Amount) FROM Budget WHERE Year = 2021 AND Service IN ('Housing', 'Transportation') AND Region NOT IN ('South')", |
| "SELECT \"Constituency number\" FROM table_2_17922056_1 WHERE \"Name\" = '16'", |
| "SELECT COUNT(DISTINCT \"course_id\") FROM \"Courses\";", |
| "SELECT founding_year, COUNT(*) FROM founders WHERE gender = 'Female' GROUP BY founding_year;", |
| "SELECT \"Tries for\" FROM table_1_13564637_5 WHERE \"Try bonus\" = '8'", |
| "SELECT MIN(COALESCE(SUM(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE(COALESCE", |
| "SELECT COUNT(project_name) FROM climate_adaptation_projects WHERE region = 'North America' AND completion_year BETWEEN 2015 AND 2017;", |
| "SELECT \"Winning Driver\" FROM table_2_18261246_3 WHERE \"Round\" = '9'", |
| "SELECT Template_Type_Code FROM Ref_Template_Types WHERE Template_Type_Code IS NOT NULL;", |
| "SELECT region_id, SUM(volume) FROM timber_harvest WHERE region_id IN (SELECT region_id FROM regions) GROUP BY region_id;", |
| "SELECT Club FROM table_2_1640927_1 WHERE \"Founded\" < '1882' AND \"League\" = 'fa premier league'", |
| "SELECT \"series_name\", \"Director\" FROM \"TV_series\" WHERE \"air_date\" = '2007-09-01'", |
| "SELECT b.name, SUM(s.num_vehicles) FROM stations s JOIN borough b ON s.borough_id = b.id WHERE b.name LIKE 'emergency' GROUP BY b.name;", |
| "SELECT \"High assists\" FROM table_1_11964154_2 WHERE \"Game\" = '4'", |
| "SELECT DISTINCT people.Name FROM people WHERE people.Nationality != 'Russia';", |
| "SELECT age, COUNT(nurse_id) FROM patients WHERE diagnosis = 'heart disease' AND location = 'rural Australia' GROUP BY age HAVING COUNT(nurse_id) = 1;", |
| "SELECT SUM(\"Swing to gain\") FROM table_2_11099297_10 WHERE \"Winning party 2007\" = 'Conservative' AND \"Rank\" < '5'", |
| "SELECT name FROM store WHERE number_products > (SELECT AVG(number_products) FROM store)", |
| "SELECT student_id FROM student_lifelong_learning WHERE course_id IS NULL;", |
| "SELECT \"Chosen by\" FROM table_2_15918328_28 WHERE \"Couple\" = 'Katee Shean Joshua Allen' AND \"Choreographer(s)\" = 'Nakul Dev Mahajan'", |
| "SELECT countryCode FROM country WHERE language = 'Spanish'", |
| "SELECT District, COUNT(DISTINCT YearEstablished) FROM ADRPrograms WHERE YearEstablished >= 2010 AND YearEstablished <= 2020 GROUP BY District;", |
| "SELECT \"Score\" FROM table_2_18811891_5 WHERE \"Player\" = 'nick taylor (a)'", |
| "SELECT \"Shop_ID\", COUNT(DISTINCT \"Shop_ID\") as \"Number_of_Shoes\" FROM \"shop\" WHERE \"City\" = 'India' GROUP BY \"Shop_ID\"", |
| "SELECT mine_name, production_tons FROM gold_mines WHERE country = 'Australia' ORDER BY production_tons DESC LIMIT 1;", |
| "SELECT \"Viewers\" FROM table_2_16225725_4 WHERE \"Episode\" = 'a family affair'", |
| "SELECT title FROM news_readership WHERE series_name = 'Sky Radio'", |
| "SELECT COUNT(*) FROM SpaceMissions WHERE agency = 'NASA' AND year < 2000 AND manned = true;", |
| "SELECT \"Score\" FROM table_2_17162239_4 WHERE \"Player\" = 'Billy Andrade'", |
| "SELECT language, COUNT(*) FROM news_readership WHERE country IN ('India', 'Argentina') GROUP BY language;", |
| "SELECT AVG(LENGTH ) FROM UNDERWATER_CABLES WHERE region = 'Indian Ocean' AND name LIKE 'EIS%' AND name LIKE 'SEA-ME-WE 3%';", |
| "SELECT \"Released\" FROM news_readership WHERE \"Model\" = 'precision m60'", |
| "SELECT COUNT(*) FROM battle WHERE `tonnage` = '225' AND `result` = 'lost_in_battle'", |
| "SELECT COUNT(DISTINCT clients.client_id) FROM clients INNER JOIN transactions ON clients.client_id = transactions.client_id WHERE clients.region = 'Oceanian';", |
| "SELECT COUNT(DISTINCT \"Year\") FROM table_2_1637981_7 WHERE \"Detroit (DTW)\" = '$307.29'", |
| "SELECT model FROM car_makers WHERE horsepower = (SELECT MIN(horsepower) FROM car_makers WHERE model = 'chevrolet');", |
| "SELECT type, COUNT(*) FROM long_term_care GROUP BY type;", |
| "SELECT \"Original Air Date\" FROM table_1_2343740_1 WHERE \"Episode Number\" = '2'", |
| "SELECT citizenship FROM singer GROUP BY citizenship ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT Area, SUM(Budget) FROM EducationBudget WHERE Area IN ('Urban', 'Suburban') GROUP BY Area;", |
| "SELECT \"Film\" FROM table_2_15291575_1 WHERE \"Role\" = 'Taylor'", |
| "SELECT name, COUNT(friend_id) as num_friends FROM Highschooler WHERE country = 'India' GROUP BY name HAVING COUNT(friend_id) > 10;", |
| "SELECT COUNT(*) FROM biosensor_development WHERE year = 2021;", |
| "SELECT \"Title\" FROM news_readership WHERE \"No. in series\" = '418'", |
| "SELECT shop, COUNT(DISTINCT employee) as num_employees, shop_name FROM employee e JOIN shop s ON e.employee_id = s.employee_id GROUP BY shop;", |
| "SELECT AVG(rating) FROM eco_hotels WHERE country = 'Spain' AND rating > 4.3;", |
| "SELECT \"Discovery\" FROM table_2_13227197_2 WHERE \"Operator(s)\" = 'lundin'", |
| "SELECT city FROM employee WHERE age > 30 GROUP BY city HAVING COUNT(*) > 1", |
| "SELECT country, SUM(year) FROM SpaceMissions WHERE mission LIKE 'Shenzhou%' GROUP BY country;", |
| "SELECT studio analysts FROM table_2_11829563_7 WHERE \"Ice level reporters\" = 'Scott Oake'", |
| "SELECT COUNT(DISTINCT continent) FROM \"continents\";", |
| "SELECT AVG(Moons) FROM SolarSystem;", |
| "SELECT \"Nationality\" FROM table_2_12018584_1 WHERE \"Tonnage\" > '5,507' AND \"Sunk by...\" = 'u-584'", |
| "SELECT MAX(\"money_rank\") FROM \"poker_player\" WHERE \"people\" IN (1, 2, 3, 4, 5);", |
| "SELECT SUM(installed_capacity) FROM Renewable_Energy_Projects WHERE country = 'US';", |
| "SELECT \"Res.\" FROM table_2_15218850_2 WHERE \"Record\" = '3-0'", |
| "SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"Rank\" FROM (SELECT player_id, \"", |
| "SELECT BrandName, SUM(Quantity) AS TotalQuantity FROM Brands WHERE Material IN ('Organic Cotton', 'Recycled Polyester', 'Hemp') GROUP BY BrandName ORDER BY TotalQuantity DESC;", |
| "SELECT AVG(\"Average\") FROM table_2_1585656_15 WHERE \"Player\" = 'matthew elliott (vic)'", |
| "SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (", |
| "SELECT AVG(production_date) FROM wells WHERE location = 'North Sea' AND production_date >= '2020-10-01' AND production_date < '2020-12-31' AND oil_production > 100;", |
| "SELECT \"High points\" FROM news_readership WHERE \"Game\" = '7'", |
| "SELECT first_name FROM `Professionals` WHERE `professional_id` NOT IN (SELECT `professional_id` FROM `Dogs`)", |
| "SELECT AVG(price) FROM hotel_prices WHERE city IN ('Tokyo', 'Osaka') AND city IN ('Tokyo', 'Osaka') AND price > 100;", |
| "SELECT \"Attendance\" FROM table_2_18226024_2 WHERE \"Venue\" = 'los angeles memorial coliseum'", |
| "SELECT AVG(Visitors.Num_of_Ticket) FROM visitors WHERE Visitors.Visitor_ID NOT IN (SELECT Museum_ID FROM museum WHERE museum.Museum_ID = 6)", |
| "SELECT SUM(CASE WHEN level = 'Primary' THEN 1 ELSE 0 END) FROM schools WHERE location = 'Rural';", |
| "SELECT \"Head coach\" FROM news_readership WHERE \"Team\" = 'Finke'", |
| "SELECT MAX(Capacity), AVG(Average) FROM \"stadium\"", |
| "SELECT AVG(rainfall) FROM rainfall_asia WHERE year >= 2015;", |
| "SELECT \"Circuit\" FROM table_2_1140099_1 WHERE \"Race\" = 'jim clark'", |
| "SELECT dog_id FROM Dogs WHERE owner_id NOT IN (SELECT dog_id FROM Treatment_Types WHERE cost_of_treatment > 1000)", |
| "SELECT initiative FROM community_policing WHERE country = 'USA';", |
| "SELECT \"Try Bonus\" FROM table_1_15467476_2 WHERE \"Tries For\" = '30'", |
| "SELECT MIN(Sum('Share')) as min_share, MAX(Sum('Share')) as max_share FROM `TV_series`;", |
| "SELECT SUM(amount) FROM Funding WHERE organization_id IN (SELECT id FROM Organization WHERE country = 'India');", |
| "SELECT \"Start\" FROM news_readership WHERE \"Finish\" = '1'", |
| "SELECT COUNT(DISTINCT visitor.ID) FROM visitor WHERE NOT visitor.visitor_ID IN (SELECT museum.Museum_ID FROM museum WHERE museum.Open_Year > '2010')", |
| "SELECT course_id, COUNT(*) FROM lifelong_learning WHERE student_id = 2 AND completion_date >= '2015-01-01' GROUP BY course_id ORDER BY COUNT(*) DESC;", |
| "SELECT \"1969\" FROM table_2_1060790_5 WHERE \"1956\u20131968\" = 'QF'", |
| "SELECT COUNT(DISTINCT \"museum\".Museum_ID) FROM \"museum\" WHERE \"museum\".Open_Year >= '2013' OR \"museum\".Open_Year < '2008'", |
| "SELECT SUM(quantity_sold) FROM menu WHERE category = 'Appetizers' AND cuisine = 'Asian';", |
| "SELECT \"Channel\" FROM table_2_1632976_1 WHERE \"Aspect\" = '4:3' AND \"Programming\" = 'me-tv'", |
| "SELECT p.first_name, p.last_name FROM `Professionals` p WHERE p.cost_of_treatment < (SELECT AVG(cost_of_treatment) FROM `Treatments`);", |
| "SELECT SUM(biomass) FROM shark_species WHERE location = 'Southern Ocean';", |
| "SELECT \"Res.\" FROM table_2_18214958_2 WHERE \"Round\" > '2' AND \"Event\" = 'midwest cage championships 25: inferno'", |
| "SELECT COUNT(DISTINCT `CountryCode`) FROM `country` WHERE `CountryCode` = 'AFG'", |
| "SELECT category, SUM(CASE WHEN category = 'DeFi' THEN 1 ELSE 0 END) as total_contracts FROM smart_contracts WHERE category = 'DeFi' GROUP BY category;", |
| "SELECT COUNT(\"High rebounds\") FROM table_1_17355716_10 WHERE \"High points\" = 'Mehmet Okur' AND \"High points\" = 'Mehmet Okur, Paul Millsap (6)'", |
| "SELECT citizenship, MAX(net_worth_millions) FROM \"singer\" WHERE country = 'India' GROUP BY citizenship;", |
| "SELECT strain, SUM(quantity) FROM sales WHERE state = 'Colorado' AND year = 2021 GROUP BY strain HAVING SUM(quantity) > 1000;", |
| "SELECT \"City\" FROM news_readership WHERE \"Oil Pattern\" = 'Chameleon' AND \"Event\" = 'Go RV''ing Classic'", |
| "SELECT maker, COUNT(model) FROM (SELECT maker, COUNT(model) AS model FROM car_makers WHERE country = 'japan' GROUP BY maker) AS maker_model GROUP BY maker;", |
| "SELECT SUM(revenue) FROM canada_sales_revenue WHERE garment_type = 'Men''s';", |
| "SELECT \"Incumbent\" FROM table_1_1342451_38 WHERE \"Candidates\" = 'Samuel J. Nicholls'", |
| "SELECT COUNT(CASE WHEN country = 'france' THEN 1 ELSE 0 END) FROM \"car_makers\" WHERE country = 'france'", |
| "SELECT MAX(resolution_date) FROM cases WHERE case_type = 'Restorative Justice' AND country = 'Australia';", |
| "SELECT \"Web thickness (mm)\" FROM table_1_2071644_2 WHERE \"Flange width (mm)\" = '100'", |
| "SELECT country FROM singer WHERE age < 40 INTERSECT SELECT country FROM singer WHERE age > 30", |
| "SELECT v.name FROM vessels v JOIN maritime_accidents m ON v.vessel_id = m accident_id WHERE m.ocean = 'Pacific Ocean';", |
| "SELECT \"Year\" FROM table_2_1842080_3 WHERE \"Position\" = '9'", |
| "SELECT SUM(CASE WHEN \"country\" = 'India' THEN \"number of singers\" ELSE 0 END) FROM news_readership WHERE country = 'India'", |
| "SELECT occupation, AVG(score) OVER (PARTITION BY gender) AS avg_score FROM financial_capability_3 WHERE gender = 'Male' OR gender = 'Female'", |
| "SELECT \"Result\" FROM table_2_1630554_5 WHERE \"Venue\" = 'a' AND \"Opponent\" = 'manchester united'", |
| "SELECT SUM(SURFACE AREA) FROM `country` WHERE `Continent` = 'Caribbean'", |
| "SELECT team, SUM(games) FROM nba_schedule GROUP BY team;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Week\" > '1' AND \"Game site\" = 'bye'", |
| "SELECT model FROM model_list WHERE weight < 3500 AND Ford Motor Company != 'Ford'", |
| "SELECT SUM(tickets_sold) FROM TicketSales WHERE location = 'Outdoor Stadium' AND month = 8;", |
| "SELECT \"Constituency number\" FROM table_2_18517491_1 WHERE \"Name\" = 'pandhana'", |
| "SELECT citizenship FROM \"singer\" WHERE country = 'India' GROUP BY citizenship ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT AVG(capacity) FROM factories WHERE location IN ('Madrid, Spain', 'Paris, France', 'London, UK');", |
| "SELECT \"First elected\" FROM table_1_1342233_42 WHERE \"District\" = 'Tennessee 3'", |
| "SELECT airport FROM airports WHERE airports.id NOT IN (SELECT airport FROM news_readership)", |
| "SELECT farm_id, name, variety, last_harvest_date FROM crops WHERE farm_id IN (SELECT id FROM farms WHERE location = 'Asia') AND last_harvest_date >= '2022-01-01' AND last_harvest_date < '2022-02-01' GROUP BY farm_id, name, variety, last_harvest_date HAVING COUNT(DISTINCT last_harvest_date) = 1;", |
| "SELECT \"Driver\" FROM news_readership WHERE \"Constructor\" = 'renault' AND \"Q1 pos\" > '2'", |
| "SELECT dog_id, date_of_arrival FROM Dogs WHERE dog_id IN (SELECT dog_id FROM Dogs WHERE animal = 'Cattle')", |
| "SELECT dataset, AVG(avg_time) AS avg_time FROM testing_times WHERE algorithm = 'random_forest' GROUP BY dataset ORDER BY avg_time DESC LIMIT 3;", |
| "SELECT \"Venue\" FROM table_2_10775038_16 WHERE \"Home team\" = 'fitzroy'", |
| "SELECT AirportCode FROM airports WHERE Country = 'USA'", |
| "SELECT AVG(Age) FROM Members WHERE FavoriteExercise = 'Cycling';", |
| "SELECT rank FROM news_readership WHERE \"Population\" = '7,069,000'", |
| "SELECT ID FROM Highschooler WHERE name = 'Kyle';", |
| "SELECT SUM(amount) FROM Donations WHERE department = 'Food';", |
| "SELECT COUNT(\"Network\") FROM news_readership WHERE \"Network\" = 'Pete Goffe-Wood Andrew Atkinson Benny Masekwameng'", |
| "SELECT `vote_id`, `phone_number`, `state` FROM `VOTES`;", |
| "SELECT crop, (SUM(COUNT(CASE WHEN yield > 0 THEN 1 ELSE 0 END)) * 100.0 / SUM(COUNT(CASE WHEN yield > 0 THEN 1 ELSE 0 END))) as yield_percentage FROM crop_distribution;", |
| "SELECT \"Player\" FROM table_2_10650829_1 WHERE \"Position\" = 'Kicker'", |
| "SELECT COUNT(DISTINCT \"car_name\") FROM \"cars_data\" WHERE \"Horsepower\" > '150'", |
| "SELECT resource_depletion.date, resource_depletion.resource, resource_depletion.quantity FROM resource_depletion WHERE resource_depletion.resource IN ('Coal', 'Iron') AND resource_depletion.date BETWEEN '2022-01-01' AND '2022-02-01' AND resource_depletion.quantity > 0 GROUP BY resource_depletion.date, resource_depletion.resource, resource_depletion.quantity HAVING SUM(resource_depletion.quantity) = 0;", |
| "SELECT \"VIETNAMESE\" FROM table_2_15081312_1 WHERE \"CHINESE\" = ' \u4e0d\u5982\u5bc6\u591a / b\u00f9r\u00fam\u00ecdu\u014d'", |
| "SELECT series_name FROM news_readership WHERE topic = 'A Love of a Lifetime'", |
| "SELECT SUM(budget) FROM annual_budget WHERE year = 2022 AND category IN ('Education', 'Infrastructure');", |
| "SELECT \"Away team score\" FROM table_2_10808681_1 WHERE \"Venue\" = 'Glenferrie Oval'", |
| "SELECT country, COUNT(singer) FROM news_readership WHERE country IN ('India', 'Argentina') GROUP BY country;", |
| "SELECT AVG(population) FROM Species WHERE region = 'Pacific';", |
| "SELECT \"Pick #\" FROM news_readership WHERE \"Player\" = 'Gary Kubiak'", |
| "SELECT AVG(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST(CAST", |
| "SELECT MAX(mental_health_score) FROM student_mental_health WHERE date >= '2021-09-01' AND date < '2022-01-01';", |
| "SELECT \"Dominant religion (2002)\" FROM table_1_2562572_20 WHERE \"Dominant religion (2002)\" = 'Kosan\u010di\u0107'", |
| "SELECT continent, COUNT(DISTINCT language) FROM language GROUP BY continent HAVING COUNT(DISTINCT language) = 1", |
| "SELECT customer_id FROM transactions WHERE amount > 500 AND category = 'risk_management';", |
| "SELECT \"Round4\" FROM table_1_24784769_1 WHERE \"Round3\" = '4'", |
| "SELECT country, language, COUNT(DISTINCT population) FROM news_readership WHERE country IN (SELECT country FROM news_readership GROUP BY country) GROUP BY country, language HAVING COUNT(DISTINCT population) = (SELECT AVG(population) FROM news_readership WHERE country IN (SELECT country FROM news_readership GROUP BY country)))", |
| "SELECT GenreRunningTimesGenre.RunningTime FROM GenreRunningTimesGenre WHERE GenreRunningTimesGenreGenre = 'Movie';", |
| "SELECT \"Directed by\" FROM news_readership WHERE \"No. in series\" = '414'", |
| "SELECT DISTINCT people.Nationality FROM people GROUP BY people.Nationality HAVING COUNT(DISTINCT people.Poker_Player_ID) > 1;", |
| "SELECT name, SUM(units_produced) as total_units FROM worker GROUP BY name ORDER BY total_units DESC;", |
| "SELECT COUNT(DISTINCT \"Driver\") FROM table_1_18893428_1 WHERE \"Constructor\" = 'Mercedes-Benz'", |
| "SELECT Country FROM 'airlines' WHERE Airline = 'JetBlue Airways'", |
| "SELECT Program, SUM(Amount) as TotalDonated FROM Donations WHERE DonationID = (SELECT MAX(DonationID) FROM Donations) GROUP BY Program ORDER BY TotalDonated DESC;", |
| "SELECT \"Name\" FROM table_2_167446_1 WHERE \"Displacement\" = '8,305 t'", |
| "SELECT \"Money_Rank\" FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT MAX(\"Money_Rank\") FROM \"poker_player\" WHERE \"Earnings\" = (SELECT", |
| "SELECT Country, AVG(ArtifactWeight) AS AvgWeight, Year, AVG(ArtifactWeight) AS AvgWeight FROM ExcavationSites GROUP BY Country, Year, AvgWeight HAVING COUNT(*) = 3;", |
| "SELECT \"Year\" FROM table_1_12243817_1 WHERE \"Champion\" = 'Dewi Claire Schreefel'", |
| "SELECT ORCHESTRA_CONSULTRA_CONSULTRA_ID FROM orchestra WHERE ORCHESTRA_CONSULTRA_ID IS NOT NULL AND ORCHESTRA_CONSULTRA_ID NOT IN (SELECT ORCHESTRA_CONSULTRA_ID FROM orchestra WHERE ORCHESTRA_CONSULTRA_ID > 2003)", |
| "SELECT donor_name, SUM(donation_amount) as total_donations FROM Donors WHERE sector = 'Education' AND region = 'Americas' AND donation_date >= '2019-01-01' AND donation_date < '2020-01-01' GROUP BY donor_name ORDER BY total_donations DESC LIMIT 3;", |
| "SELECT MAX(\"Completed\") FROM table_2_16221280_1 WHERE \"Material\" = 'solid granite'", |
| "SELECT AVG(hp) FROM (SELECT hp FROM cars_data WHERE year < 1980 GROUP BY hp) AS subquery;", |
| "SELECT sector, SUM(amount) FROM climate_finance_oceania WHERE country IN ('Australia', 'New Zealand') GROUP BY sector;", |
| "SELECT \"Partner\" FROM table_1_2259502_2 WHERE \"Score\" = '1-6, 2-6'", |
| "SELECT employee.name FROM employee WHERE employee.salary = (SELECT MAX(salary) FROM employee WHERE employee.salary > 0)", |
| "SELECT SUM(production) FROM mine WHERE mineral = 'Iron' AND location = 'Russia';", |
| "SELECT \"Year\" FROM table_2_18391739_1 WHERE \"Stage winner\" = 'Jacques Anquetil' AND \"Stage\" = 'yellow'", |
| "SELECT name, tonnage FROM (SELECT name, tonnage, ROW_NUMBER() OVER (ORDER BY tonnage DESC) as rn FROM livestock) as sub WHERE rn > 1", |
| "SELECT CountryName, MAX(Expenditure) FROM MilitaryExpenditure WHERE Year = 2020 AND CountryName IS NOT NULL GROUP BY CountryName;", |
| "SELECT \"Composer\" FROM table_1_24521345_1 WHERE \"Conductor\" = 'jaroslav Vogel'", |
| "SELECT \"name\", \"country\" FROM \"singer\" WHERE \"Song_Name\" LIKE 'Hey%'", |
| "SELECT MAX(distance) FROM astrophysics_research WHERE location IN ('Mars', 'Venus', 'Mars');", |
| "SELECT \"Player\" FROM table_1_14342592_5 WHERE \"Extra points\" = '12'", |
| "SELECT department_description FROM departments WHERE department_name LIKE 'computer%'", |
| "SELECT case_id, AVG(duration) as avg_duration FROM cases WHERE case_id IN (SELECT case_id FROM cases WHERE attorney_id = 1 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 2 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 3 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 4 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 5 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 6 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 7 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 8 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 9 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 10 AND status = 'closed' AND status != 'closed') AND case_id IN (SELECT case_id FROM cases WHERE attorney_id = 11 AND status = 'closed' AND status != '", |
| "SELECT \"Height\" FROM table_2_1594415_2 WHERE \"Claimant\" = 'South Ossetia' AND \"Country\" = 'South_america'", |
| "SELECT COUNT(DISTINCT \"Code\") FROM \"country\" WHERE \"Code\" = 'AS'", |
| "SELECT judge_name, COUNT(*) FROM criminal_cases WHERE case_status = 'Closed' GROUP BY judge_name;", |
| "SELECT \"Year\" FROM news_readership WHERE \"Location\" = 'New York Giants' AND \"Winner\" = 'New York Giants'", |
| "SELECT player_id, first_name, birth_date FROM players WHERE country_code = 'USA';", |
| "SELECT SUM(viewer_count) FROM tv_show_viewers WHERE title = 'The Crown';", |
| "SELECT \"Rank\" FROM table_2_12446771_5 WHERE \"Lane\" = '4'", |
| "SELECT COUNT(DISTINCT `Conductor_ID`) FROM `conductor`;", |
| "SELECT State, AVG(Age) FROM CommunityHealthWorkers WHERE Gender = 'Non-binary' GROUP BY State;", |
| "SELECT \"Week 1\" FROM table_2_17993994_7 WHERE \"Week 2\" = 'Mandy Lynn'", |
| "SELECT shop.Shop_ID, shop.Location, shop.District, shop.Number_products, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location, shop.Location,", |
| "SELECT location, SUM(extraction_rate) FROM mining_sites WHERE extraction_rate > (SELECT AVG(extraction_rate) FROM mining_sites WHERE extraction_rate > 100) GROUP BY location;", |
| "SELECT \"Socket\" FROM table_2_18823880_6 WHERE \"Model number\" = 'sr0pk(e1)'", |
| "SELECT teacher.Hometown, COUNT(teacher.Name) FROM teacher WHERE teacher.Hometown IN ('John Deloor', 'Kearsley Brown', 'Lucy Wong', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown', 'Anne Walker', 'Vicente Carretero', 'Kearsley Brown', 'Kearsley Brown", |
| "SELECT AVG(Playtime) FROM Player_Details WHERE Game_Name = 'Cybernetic Shift';", |
| "SELECT \"Consistency & Participation\" FROM table_2_1857_3 WHERE \"Pareto efficiency\" = 'yes' AND \"Condorcet\" = 'no'", |
| "SELECT district, COUNT(DISTINCT city_id) FROM (SELECT district, COUNT(DISTINCT city_id) AS population FROM (SELECT district, population FROM (SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district, population FROM livestock WHERE country = 'India' UNION SELECT district, population FROM livestock WHERE country = 'Argentina' UNION SELECT district", |
| "SELECT SUM(members) FROM union_tech WHERE cb_agreement = true;", |
| "SELECT MAX(\"Year\") FROM table_2_1235976_1 WHERE \"Points\" > '0'", |
| "SELECT student_id, COUNT(*) as num_friends FROM (SELECT student_id, COUNT(*) as num_friends FROM Friend WHERE country = 'India' UNION SELECT student_id, COUNT(*) as num_friends FROM Friend WHERE country = 'Argentina' UNION SELECT student_id, COUNT(*) as num_friends FROM Friend WHERE country = 'India' UNION SELECT student_id, COUNT(*) as num_friends FROM Friend WHERE country = 'Argentina') as subquery GROUP BY student_id;", |
| "SELECT market_share.region, market_share.month, market_share.market_share FROM market_share WHERE drug_name = 'JKL-012' AND region = 'India' AND quarter = 3 AND year = 2022;", |
| "SELECT MIN(\"Decile\") FROM table_2_12197750_7 WHERE \"Name\" = 'ohau school'", |
| "SELECT COUNT(DISTINCT \"Language\") FROM `countrylanguage` WHERE `CountryCode` = 'AR'", |
| "SELECT COUNT(*) FROM community_development WHERE completion_year = 2021 AND initiative_name LIKE 'Community%' AND completion_date >= '2021-01-01' AND completion_date < '2022-01-01';", |
| "SELECT MAX(\"Channel\") FROM table_2_1632976_1 WHERE \"Aspect\" = '4:3' AND \"PSIP Short Name\" = 'ibc-tv'", |
| "SELECT first_name FROM (SELECT Student.Fname FROM Student WHERE pet_age > 10 UNION SELECT Student.Fname FROM Student WHERE pet_age < 10) AS subquery WHERE subquery.Fname LIKE 'cat%' OR subquery.Fname LIKE 'dog';", |
| "SELECT RouteType, SUM(Fare) as TotalRevenue FROM Routes r JOIN Fares f ON r.RouteID = f.RouteID JOIN PassengerCounts p ON r.RouteID = p.RouteID WHERE r startingLocation LIKE 'City Center%' AND r startingLocation LIKE 'India' GROUP BY RouteType;", |
| "SELECT \"High rebounds\" FROM table_1_27756314_10 WHERE \"Date\" = 'March 25'", |
| "SELECT COUNT(DISTINCT dogs.id) FROM dogs WHERE dogs.id IN (SELECT COUNT(DISTINCT dogs2.id) FROM dogs2 WHERE dogs2.treatment_id IS NULL)", |
| "SELECT safety_rating FROM Vehicles WHERE make = 'BMW' AND manufacturing_date = (SELECT MAX(manufacturing_date) FROM Vehicles WHERE make = 'BMW');", |
| "SELECT COUNT(\"PF\") FROM table_1_25714995_2 WHERE \"L\" = '3'", |
| "SELECT teacher.Name FROM teacher WHERE NOT teacher.Name IN (SELECT teacher.Name FROM course_arrange)", |
| "SELECT artist, COUNT(*) FROM Art WHERE gallery = 'Modern Art' GROUP BY artist ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT \"L2-Cache\" FROM table_2_16341329_3 WHERE \"Frequency\" = '1333\u202fmhz' AND \"Model Number\" = 'c3 1.3a'", |
| "SELECT year FROM \"cars_data\" WHERE weight < 4000 OR weight > 3000", |
| "SELECT o.name, o.id, o.budget FROM organizations o WHERE o.id = 1 AND o.name IN (SELECT name FROM organizations_projects WHERE project_id = 1)", |
| "SELECT \"Away team score\" FROM table_2_10773616_10 WHERE \"Away team\" = 'geelong'", |
| "SELECT teacher.Name FROM teacher WHERE teacher.age = (SELECT MIN(Age) FROM teacher WHERE teacher.tourism = 'young') AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism = 'young' AND teacher.tourism =", |
| "SELECT SUM(quantity) FROM Global_Sales WHERE vehicle_type = 'Electric' AND year = 2021 AND vehicle_type = 'Hybrid';", |
| "SELECT \"English\" FROM table_1_26263954_1 WHERE \"Kunrei-shiki\" = 'otsya'", |
| "SELECT paragraph_id, text FROM paragraphs WHERE document_title = 'Welcome to NY';", |
| "SELECT county, COUNT(DISTINCT org_id) FROM legal_aid_organizations WHERE cases_handled > 0 GROUP BY county;", |
| "SELECT \"Place of action\" FROM table_2_1202355_3 WHERE \"Rank\" = 'sergeant' AND \"Unit\" = '5th company, 2nd marines'", |
| "SELECT name FROM singer WHERE NOT (name = 'France') AND country = 'France';", |
| "SELECT MemberID, SUM(Duration) as TotalDuration FROM WorkoutSessions WHERE WorkoutType = 'Weightlifting' GROUP BY MemberID;", |
| "SELECT \"Team 1\" FROM table_2_16218722_2 WHERE \"1st leg\" = '0\u20132'", |
| "SELECT COUNT(DISTINCT `area_code`) FROM `area_code_state`;", |
| "SELECT SUM(Cost) FROM Concerts JOIN Venues ON Concerts.VenueID = Venues.VenueID WHERE Location IN ('Tokyo', 'Seoul') AND Location LIKE 'Tokyo, Seoul';", |
| "SELECT \"Nation\" FROM table_2_12392683_3 WHERE \"Bronze\" < 4 AND \"Total\" > 4", |
| "SELECT stadium.Name, COUNT(*) FROM news_readership INNER JOIN concert ON news_readership.stadium_ID = concert.stadium_ID GROUP BY stadium.Name;", |
| "SELECT EventID, COUNT(DISTINCT ParticipantID) AS ParticipantCount FROM EventParticipants GROUP BY EventID ORDER BY ParticipantCount DESC LIMIT 1;", |
| "SELECT MAX(\"Episode\") FROM table_2_15187735_20 WHERE \"Segment C\" = 'Wood Flutes'", |
| "SELECT `feature_type_name` FROM `Other_Available_Features` WHERE `feature_type_code` = 'AirCon'", |
| "SELECT SUM(attendees) FROM EventAttendance WHERE event_city IN ('Paris', 'Rome') AND event_year BETWEEN '2018' AND '2020' AND attendees NOT IN (SELECT attendee_id FROM EventAttendance WHERE event_city IN ('Paris', 'Rome') AND event_year BETWEEN '2018' AND '2020');", |
| "SELECT \"Player\" FROM table_2_11545282_11 WHERE \"School/Club Team\" = 'Stanford'", |
| "SELECT model FROM car_makers WHERE \"MPG\" DESC LIMIT 1", |
| "SELECT COUNT(DISTINCT ocean) FROM shark_species WHERE ocean = 'Indian Ocean';", |
| "SELECT \"Visitor\" FROM table_2_17371135_10 WHERE \"Date\" = 'April 2'", |
| "SELECT COUNT(DISTINCT \"player_id\") FROM \"players\";", |
| "SELECT name, sector, risk_score FROM investments WHERE sector = 'renewable_energy' ORDER BY risk_score DESC;", |
| "SELECT \"Example: ch''aghara-\" FROM table_2_1730774_3 WHERE \"Example: did-\" = 'did-ma'", |
| "SELECT country, COUNT(DISTINCT \"car_makers\") FROM \"car_makers\" GROUP BY \"car_makers\" ORDER BY COUNT(DISTINCT \"car_makers\") DESC LIMIT 1", |
| "SELECT region, SUM(labor_hours) FROM project WHERE region = 'Northeast' GROUP BY region ORDER BY SUM(labor_hours) DESC;", |
| "SELECT \"Episode Number\" FROM table_1_25391981_20 WHERE \" Episode\" = 'Week 4, Part 2'", |
| "SELECT Template_Type_Code FROM Ref_Template_Types;", |
| "SELECT Name FROM MilitaryAircrafts WHERE Country = 'USA' AND ManufacturingDate > '2000-01-01'", |
| "SELECT \"Athlete\" FROM news_readership WHERE \"Run 1\" > '57.37' AND \"Run 4\" < '59.05' AND \"Run 3\" = '58.08'", |
| "SELECT \"CountryCode\" FROM `country` WHERE \"SurfaceArea\" > (SELECT SUM(\"SurfaceArea\") FROM `country` WHERE \"CountryCode\" IN ('NLD', 'AN', 'AS', 'BE', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR', 'HR", |
| "SELECT MIN(recycling_rate) FROM RecyclingRates WHERE year = 2019 AND region IN ('South America', 'Africa') AND material = 'Glass';", |
| "SELECT \"Frequency MHz\" FROM table_2_15525566_1 WHERE \"City of license\" = 'Albany, New York'", |
| "SELECT Template_Type_Code FROM Templates WHERE Template_Type_Description = 'Book'", |
| "SELECT sector, SUM(amount) FROM waste_generation WHERE year = 2012 GROUP BY sector;", |
| "SELECT \"W-L (Total)\" FROM news_readership WHERE country = 'India' AND topic = 'Politics' AND readership = 'Ivan Milic'", |
| "SELECT title FROM news_readership WHERE country = 'India' AND topic = 'Cartoon' AND (SELECT id FROM tv_series WHERE series_name = 'Sky Famiglia' AND country = 'India') = 'Ben Jones' OR (SELECT id FROM tv_series WHERE series_name = 'Sky Famiglia' AND country = 'India' AND topic = 'Cartoon' = 'Brandon Vietti') = 'Ben Jones'", |
| "SELECT lab_name, lab_location FROM marine_research_labs;", |
| "SELECT \"Nationality\" FROM table_2_12014051_2 WHERE \"School\" = 'Florida Tech'", |
| "SELECT title, director FROM (SELECT title, director, ROW_NUMBER() OVER (ORDER BY Air_Date) as rank FROM \"TV_series\" WHERE country = 'India' AND language = 'Italian' AND content LIKE 'Cartoon%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE 'Animation%' AND content LIKE", |
| "SELECT MAX(Water_Temperature) FROM Salmon_Farms WHERE Ocean = 'Pacific';", |
| "SELECT country FROM table_2_18048776_6 WHERE \"Score\" = '70-71-68=209'", |
| "SELECT `contestant_number`, `contestant_name` FROM `CONTESTANTS` WHERE `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 1) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 2) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 3) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 4) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 5) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 6) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 7) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 8) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 9) AND `contestant_number` > (SELECT MIN(`readership`) FROM `VOTES` WHERE `contestant_number` = 10) AND `", |
| "SELECT brand, (product_count / vegan_product_count) * 100 AS percentage FROM brand_ingredient WHERE vegan_product_count > 0;", |
| "SELECT \"Team\" FROM news_readership WHERE country = 'India' AND \"Time/Retired\" = '4:00:30.7537 (retired - fire)' AND \"Laps\" < '159'", |
| "SELECT COUNT(DISTINCT \"airlines\") FROM \"airlines\";", |
| "SELECT MIN(min_depth) FROM submersible_dives WHERE region = 'Pacific' AND submersible_name LIKE 'Pacific_Drop';", |
| "SELECT MIN(\"Total\") FROM table_2_18156085_1 WHERE \"Finish\" = 't47'", |
| "SELECT COUNT(*) FROM Highschooler WHERE (student_id = 1510 OR student_id = 1689 OR student_id = 1381 OR student_id = 1709 OR student_id = 1101 OR student_id = 1782 OR student_id = 1247 OR student_id = 1316 OR student_id = 1468 OR student_id = 1501 OR student_id = 1641 OR student_id = 1316 OR student_id = 1501 OR student_id = 1641 OR student_id = 1304 OR student_id = 1247 OR student_id = 1316 OR student_id = 1468 OR student_id = 1501 OR student_id = 1661 OR student_id = 1025) = 0;", |
| "SELECT COUNT(*) FROM deep_sea_exploration WHERE ocean = 'Southern Ocean';", |
| "SELECT founded FROM table_1_28253870_1 WHERE \"Institution\" = 'Florida State University'", |
| "SELECT template_Type_Code, COUNT(DISTINCT Document_ID) FROM Documents WHERE Template_Type_Code IS NOT NULL GROUP BY template_Type_Code;", |
| "SELECT AVG(settlementAmount) FROM Settlements WHERE CaseID IN (SELECT CaseID FROM Billing WHERE Hours > 30)", |
| "SELECT \"Player\" FROM table_1_29572583_20 WHERE \"Status\" = 'Fourth round lost to Tsvetana Pironkova [32]'", |
| "SELECT \"singer\" FROM \"singer\" WHERE \"Age\" > 30 UNION SELECT \"singer\" FROM \"singer\" WHERE \"Age\" < 30 ORDER BY \"singer\" DESC;", |
| "SELECT State, SUM(PermitsByState.PermitCount) FROM PermitsByState WHERE PermitCount > 0 GROUP BY State;", |
| "SELECT \"Golden Tickets\" FROM table_2_11954383_1 WHERE \"Total Tickets to Hollywood\" = '26'", |
| "SELECT COUNT(DISTINCT dog_id) FROM `Breeds` WHERE `age` < (SELECT AVG(age) FROM `Breeds`);", |
| "SELECT dissolved_oxygen FROM atlantic_fish_farms WHERE name LIKE 'Farm%' AND country LIKE 'USA' AND country LIKE 'Canada' AND country LIKE 'Brazil';", |
| "SELECT \"Score\" FROM table_1_23284271_10 WHERE \"Game\" = '78'", |
| "SELECT AVG(Dogs.age) FROM Dogs WHERE Dogs.dog_id IS NOT NULL GROUP BY Dogs.dog_id;", |
| "SELECT name FROM underwater_volcanoes WHERE region = 'Arctic' AND depth > 3000;", |
| "SELECT \"Front Side Bus\" FROM table_2_16341329_1 WHERE \"Frequency\" = '733MHz'", |
| "SELECT hand, COUNT(DISTINCT player_id) FROM players GROUP BY hand;", |
| "SELECT client_country, SUM(CASE WHEN client_country != 'Saudi Arabia' AND client_country != 'UAE' THEN 1 ELSE 0 END) AS num_clients FROM socially_responsible_loans WHERE client_id IN (SELECT client_id FROM socially_responsible_loans WHERE country IN ('India', 'Argentina', 'Bahrain', 'UAE', 'Saudi Arabia', 'Malaysia', 'UAE') GROUP BY client_id) GROUP BY client_country;", |
| "SELECT COUNT(\"Starts\") FROM news_readership WHERE \"Year\" = '1977'", |
| "SELECT COUNT(DISTINCT \"CountryId\") FROM \"cars_data\" WHERE \"Cylinders\" > '4'", |
| "SELECT AVG(age) FROM policyholders WHERE state = 'CA' AND policy_type = 'home';", |
| "SELECT \"Production code\" FROM news_readership WHERE \"Directed by\" = 'Matt Shakman'", |
| "SELECT property_type_description FROM \"Other_Available_Features\" WHERE \"property_type_code\" = 'Other'", |
| "SELECT co_owners.owner_name, properties.city FROM co_owners INNER JOIN properties ON co_owners.property_id = properties.property_id WHERE co_owners.property_id IN (SELECT property_id FROM properties WHERE city = 'New York, NY');", |
| "SELECT SUM(\"Round\") FROM table_2_14106656_7 WHERE \"Position\" = 'defenceman'", |
| "SELECT name, membership_level FROM (SELECT name, membership_level FROM visitor WHERE membership_level > 4 AND age > 30) AS subquery WHERE membership_level < 4;", |
| "SELECT AVG(Amount) FROM Claims WHERE Region = 'East';", |
| "SELECT \"percentage of votes\" FROM news_readership WHERE \"party\" = 'family rights'", |
| "SELECT first_name FROM Student WHERE PetType = 'dog' AND PetID NOT IN (SELECT PetID FROM Pets WHERE PetType = 'cat');", |
| "SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT region, (SELECT MAX(scores) FROM (SELECT", |
| "SELECT \"Fate\" FROM table_2_17957171_1 WHERE \"Date\" = '26 april 1942'", |
| "SELECT nationality FROM people GROUP BY nationality ORDER BY COUNT(*) DESC LIMIT 1;", |
| "SELECT COUNT(DISTINCT DecommissionDate) FROM Platforms WHERE PlatformName LIKE 'Platform%' AND DecommissionDate >= '2016-01-01'", |
| "SELECT COUNT(\"Crowd\") FROM table_2_10869537_3 WHERE \"Away team score\" = '20.15 (135)' AND \"Date\" = '23 april 1973'", |
| "SELECT DISTINCT Fname, Age FROM (SELECT Fname, Age FROM Student WHERE PetID IS NOT NULL UNION SELECT Fname, Age FROM Pets WHERE PetID IS NOT NULL) AS Subquery;", |
| "SELECT SUM(num_veterans) FROM veteran_employment WHERE company = 'ABC' AND state = 'California';", |
| "SELECT \"Born \u2013 Died\" FROM table_2_14672445_7 WHERE \"Name\" = 'Robert Machado'", |
| "SELECT COUNT(*) FROM Highschooler WHERE grade >= 9 AND grade <= 10;", |
| "SELECT SUM(manufacturer) FROM Aircraft WHERE manufacturer = 'AeroCorp';", |
| "SELECT \"Episode #\" FROM news_readership WHERE \"Viewers (millions)\" = '5.24'", |
| "SELECT song.title, song.name FROM song;", |
| "SELECT department, SUM(amount) FROM funding WHERE year = 2021 GROUP BY department;", |
| "SELECT \"Date\" FROM table_2_12694743_1 WHERE \"Label\" = 'sony music direct'", |
| "SELECT MAX(Cars_Data.MpG) FROM cars_data WHERE Cars_Data model = 'chevrolet'", |
| "SELECT r.name, SUM(COUNT(p.id)) FROM regions r INNER JOIN art_pieces ap ON r.id = ap.region_id AND ap.year > r.population GROUP BY r.name;", |
| "SELECT \"Licence award date\" FROM table_2_10712301_5 WHERE \"On air date\" = 'july 2001' AND \"Region\" = 'South Wales and the Severn Estuary'", |
| "SELECT MAX(\"best_finish\") FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish\" FROM (SELECT \"best_finish", |
| "SELECT AVG(balance) FROM customers WHERE region = 'West';", |
| "SELECT \"Date\" FROM news_readership WHERE \"Result\" = 'l 25-13'", |
| "SELECT teacher.Name FROM teacher WHERE teacher.age = 32 OR teacher.age = 33;", |
| "SELECT COUNT(*) FROM Games WHERE ReleaseYear = 2020;", |
| "SELECT \"Year\" FROM table_2_1233825_1 WHERE \"Chassis\" = 'surtees ts19'", |
| "SELECT COUNT(DISTINCT `conductor`::text) FROM `conductor`", |
| "SELECT AVG(Age) FROM Members WHERE Gender = 'Male' AND WorkoutType = 'Weightlifting' AND Age > 30;", |
| "SELECT \"Location\" FROM table_2_13821848_8 WHERE \"Game\" = '64'", |
| "SELECT 'United Airlines' AS abbreviation FROM 'flights' WHERE country = 'India' AND airline = 'United Airlines'", |
| "SELECT locations.is_rural, SUM(doctors.salary) FROM locations JOIN doctors ON locations.is_rural = doctors.is_indigenous WHERE locations.id IN (SELECT id FROM doctors WHERE is_rural = true);", |
| "SELECT \"Original air date\" FROM news_readership WHERE \"Rank (week)\" = '21'", |
| "SELECT employee_name FROM employee WHERE bonus > (SELECT SUM(bonus) FROM employee WHERE employee_id = employee_name)", |
| "SELECT state, COUNT(*) FROM hospitals WHERE state IN (SELECT state FROM hospitals) GROUP BY state ORDER BY COUNT(*) DESC;", |
| "SELECT \"Job\" FROM table_2_12890300_4 WHERE \"Riding\" = 'red bank'", |
| "SELECT language FROM `countrylanguage` WHERE `CountryCode` IN (SELECT `CountryCode` FROM `countrylanguage` WHERE `Language` IN ('Dari', 'Arabic', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armenian', 'Armen", |
| "SELECT name, market_cap FROM digital_assets ORDER BY market_cap DESC LIMIT 5;", |
| "SELECT COUNT(\"Series #\") FROM table_1_26808178_1 WHERE \"Title\" = 'It''s Called Hazing, Look It Up'", |
| "SELECT COUNT(DISTINCT \"singer\"(\"Singer_ID\")) FROM news_readership WHERE country = 'India';", |
| "SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Adoption WHERE ai_chatbot = TRUE)) as percentage FROM Adoption WHERE city = 'Berlin' AND ai_chatbot = TRUE;", |
| "SELECT \"Source\" FROM table_2_15125012_1 WHERE \"Attack\" = '9,77%'", |
| "SELECT COUNT(DISTINCT `student_enrolment_id`) FROM `Transcripts` WHERE `transcript_id` > 0", |
| "SELECT SUM(trips) FROM public_transportation WHERE city IN ('Tokyo', 'Seoul');", |
| "SELECT AVG(\"API level\") FROM table_2_12610483_1 WHERE \"Distribution\" = '10.6%'", |
| "SELECT COUNT(DISTINCT country_code) FROM players;", |
| "SELECT MAX(population) FROM marine_species WHERE location = 'Atlantic';", |
| "SELECT \"School/Club Team\" FROM table_2_10650829_1 WHERE \"Overall\" = '21'", |
| "SELECT COUNT(DISTINCT concert_ID) FROM concert WHERE year = 2014 OR year = 2015", |
| "SELECT AVG(rating) FROM movies WHERE director IN ('DirectorA', 'DirectorB') AND rating > 7.5;", |
| "SELECT player FROM table_2_14323142_16 WHERE country = 'United States' AND college_junior_club_team = 'bowling green falcons (ccha)'", |
| "SELECT AVG(Assistant_Ratings_Millions) FROM `performance` WHERE `Conductor_ID` = 1 OR `Orchestra_ID` = 1", |
| "SELECT region, COUNT(*) FROM socially_responsible_lending WHERE region IN ('North', 'South', 'East', 'West') GROUP BY region;", |
| "SELECT \"Attendance\" FROM table_2_11171219_1 WHERE \"Date\" = 'october 27, 1968'", |
| "SELECT `area_code` FROM `area_code_state` WHERE `state` = 'NY' AND `contestant_number` = 'tabatha gehling' INTERSECT SELECT `area_code` FROM `area_code_state` WHERE `state` = 'NY' AND `contestant_number` = 'kelly cluss'", |
| "SELECT AVG(visitors) FROM antarctica_attractions WHERE name LIKE 'natural%';", |
| "SELECT \"District\" FROM table_1_1341843_19 WHERE \"Incumbent\" = 'F. Edward Hebert'", |
| "SELECT COUNT(*) FROM matches", |
| "SELECT COUNT(DISTINCT volunteer_date) FROM volunteers WHERE program LIKE 'Education%' AND volunteer_date >= '2021-01-01' AND volunteer_date < '2022-01-01';", |
| "SELECT \"Round\" FROM table_2_12225593_17 WHERE \"Overall\" < '545' AND \"MLB Team\" = 'san francisco giants'", |
| "SELECT name FROM Highschooler WHERE NOT student_id IN (SELECT student_id FROM Highschooler)", |
| "SELECT student_id, score, year FROM student_mental_health WHERE score > (SELECT MAX(score) FROM student_mental_health WHERE year = 2022) AND year = 2021 ORDER BY score DESC;", |
| "SELECT \"2007 Result\" FROM news_readership WHERE \"Incumbent\" = 'Edd Houck' AND \"Elected\" = '1996'", |
| "SELECT COUNT(DISTINCT \"loser_name\") FROM news_readership WHERE country_code = 'India'", |
| "SELECT AVG(water_usage) FROM all_users WHERE state = 'New York';", |
| "SELECT \"To par\" FROM table_2_17245504_1 WHERE \"Score\" = '71-71-70-73=285'", |
| "SELECT COUNT(DISTINCT dog_id) FROM Treatment_Types WHERE dog_id IN (SELECT dog_id FROM Dogs);", |
| "SELECT material FROM materials WHERE material = 'polyester' AND method = 'linear'", |
| "SELECT \"Runner-up\" FROM table_1_25058269_1 WHERE \"3rd place\" = 'Poliurs/Ozolnieki'", |
| "SELECT topic, SUM(CASE WHEN `result` = 'Killed' THEN 1 ELSE 0 END) AS total_killed FROM news_readership WHERE country = 'India' GROUP BY topic HAVING total_killed > 10", |
| "SELECT COUNT(project_id) FROM sustainable_urbanism_projects WHERE state = 'California';", |
| "SELECT \"Bible Gothic\" FROM table_2_1777797_1 WHERE \"English\" = 'hand'", |
| "SELECT Document_Name, Template_ID FROM Documents WHERE Document_Description LIKE 'w%'", |
| "SELECT cargo_type FROM cargo WHERE vessel_id IN (SELECT id FROM vessels WHERE region = 'Atlantic')", |
| "SELECT \"Player\" FROM table_2_17690645_3 WHERE \"Years of NBA experience [a ]\" = '10'", |
| "SELECT COUNT(DISTINCT id) FROM \"TV_Channel\"", |
| "SELECT SUM(budget) FROM Movies_Release_Year WHERE release_year < 2010;", |
| "SELECT \"Region\" FROM table_2_16653153_1 WHERE \"Coach\" = 'trevor gleeson'", |
| "SELECT Template_ID, Template_Type_Code, Template_Type_Description FROM Templates;", |
| "SELECT (SUM(Amount) / (SELECT SUM(Amount) FROM Expenses)) * 100 AS Percentage FROM Expenses WHERE ExpenseDate >= '2022-01-01' AND ExpenseDate < '2023-01-01';", |
| "SELECT \"Status\" FROM table_2_18278508_6 WHERE \"Date performed\" = 'august 13' AND \"Position\" = 'safe'", |
| "SELECT employee.name FROM employee WHERE employee.id NOT IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT employee.employee_id FROM employee WHERE employee.id IN (SELECT", |
| "SELECT PolicyType FROM Policy WHERE PolicyID = 0;", |
| "SELECT \"Report\" FROM table_2_19005873_2 WHERE \"Round\" = '9'", |
| "SELECT COUNT(DISTINCT Document_ID) FROM Documents WHERE Template_Type_Code = 'PPT'", |
| "SELECT organization FROM ai_oversight WHERE region = 'Canada';", |
| "SELECT \"Decile\" FROM table_2_12017602_17 WHERE \"Name\" = 'mayfield school'", |
| "SELECT series_name, rating FROM news_readership WHERE country = 'India' ORDER BY rating DESC", |
| "SELECT creator FROM smart_contracts WHERE name = 'Uniswap V3';", |
| "SELECT \"Assets (bil. USD )\" FROM table_1_23950611_2 WHERE \"2013 Rank (oil companies)\" = '1532'", |
| "SELECT last_transcript_date FROM Transcript_Contents WHERE semester_id = 3", |
| "SELECT SUM(funding) FROM startups WHERE sector = 'Innovation';", |
| "SELECT writer FROM livestock WHERE number_in_series = '62'", |
| "SELECT `create`, `state`, `phone_number` FROM `VOTES` WHERE `contestant_name` = 'Tabatha Gehling'", |
| "SELECT route_id, AVG(travel_time) AS avg_travel_time FROM VesselTravel WHERE departure_date >= '2021-01-01' AND departure_date < '2021-06-01' AND arrival_port = 'Valparaiso' AND departure_port = 'Singapore' GROUP BY route_id ORDER BY avg_travel_time DESC;", |
| "SELECT \"Date\" FROM news_readership WHERE country = 'India' AND \"Opponent\" = 'at ' AND \"Result\" = '17'", |
| "SELECT people_name FROM people WHERE people_name NOT IN ('Russia');", |
| "SELECT organization_id FROM evaluations WHERE not exists (SELECT organization_id FROM evaluations WHERE organization_id = evaluations.organization_id AND name LIKE 'Fairness%');", |
| "SELECT \"Opponent\" FROM news_readership WHERE \"Loss\" = 'erickson (8-19)'", |
| "SELECT name, grade FROM (SELECT name, grade FROM Highschooler WHERE country = 'India' UNION SELECT name, grade FROM Highschooler WHERE country = 'Argentina' UNION SELECT name, grade FROM Highschooler WHERE country = 'India' UNION SELECT name, grade FROM Highschooler WHERE country = 'Argentina') AS highschoolers", |
| "SELECT AVG(price) FROM menus WHERE category = 'Lunch' AND is_vegan = TRUE;", |
| "SELECT \"Mascot\" FROM table_2_18709882_2 WHERE \"Previous Conference\" = 'independent' AND \"School\" = 'Anderson'", |
| "SELECT episode, RANK() OVER (ORDER BY rating DESC) as rank FROM TV_series WHERE country = 'India' AND rating > 0 GROUP BY episode, RANK() OVER (ORDER BY rating DESC) HAVING rank <= 3;", |
| "SELECT mental_health_parity_officers.name, COUNT(trainings_conducted.officer_id) FROM mental_health_parity_officers INNER JOIN trainings_conducted ON mental_health_parity_officers.officer_id = trainings_conducted officer_id WHERE mental_health_parity_officers.officer_id IS NOT NULL GROUP BY mental_health_parity_officers.name;", |
| "SELECT MIN(\"Pick #\") FROM news_readership WHERE \"Player\" = 'Colin Campbell'", |
| "SELECT COUNT(DISTINCT Template_ID) FROM Templates;", |
| "SELECT max_age FROM habitats WHERE name = 'australia' AND animal_type = 'koala';", |
| "SELECT \"Date\" FROM news_readership WHERE \"Year\" = '1955' AND \"Home Team\" = 'los angeles rams' AND \"Attendance\" > '69,828' AND \"Result\" = '16-24'", |
| "SELECT \"Code\" FROM country WHERE \"Code\" != 'GB'", |
| "SELECT FundingID, Amount FROM Funding WHERE EventID = 1;", |
| "SELECT \"Result\" FROM table_2_14717422_7 WHERE \"Time\" = '6:00 PM' AND \"Attendance\" = '79,419'", |
| "SELECT AVG(LifeExpectancy) FROM life_expectancy WHERE CountryCode = 'AFG'", |
| "SELECT COUNT(*) FROM green_buildings;", |
| "SELECT \"Finish\" FROM table_2_17231331_2 WHERE \"Country\" = 'united states' AND \"Player\" = 'hale irwin'", |
| "SELECT \"Region\" FROM \"countrylanguage\" WHERE \"Language\" IN ('Dutch', 'English')", |
| "SELECT SUM(allocated_budget) FROM Budget WHERE program_name = 'Sports' AND year = 2021;", |
| "SELECT AVG(\"Goal Difference\") FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference\" FROM (SELECT \"Goal Difference", |
| "SELECT country, 'Area' as 'Country Area', SUM(CASE WHEN country = 'Afghanistan' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Afghanistan Area', SUM(CASE WHEN country = 'Algeria' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Algeria Area', SUM(CASE WHEN country = 'Andorra' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Andorra Area', SUM(CASE WHEN country = 'Antigua and Barbuda' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Antigua and Barbuda Area', SUM(CASE WHEN country = 'Aruba' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Aruba Area', SUM(CASE WHEN country = 'Armenia' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Armenia Area', SUM(CASE WHEN country = 'Armenia' THEN 1000000.0 ELSE 0.0 ELSE 0.0 END) as 'Armenia Area', SUM(CASE WHEN country = 'Aruba' THEN 1000000.0 ELSE", |
| "SELECT COUNT(*) FROM bus_trips WHERE has_bike_rack AND city = 'London';", |
| "SELECT MIN(\"Points\") FROM table_2_1148735_1 WHERE \"Chassis\" = 'arrows a22'", |
| "SELECT COUNT(DISTINCT \"Transcript_Contents\".transcript_id) FROM \"Transcript_Contents\" WHERE \"Transcript_Contents\".student_course_id IN (SELECT \"Student_Enrolment\".student_enrolment_id FROM \"Students\" WHERE \"Student_Enrolment\".student_id IN (SELECT \"student_id\" FROM \"Students\" WHERE \"student_id\" IS NOT NULL))", |
| "SELECT month, usage FROM customer_water_usage WHERE customer_id = 5;", |
| "SELECT \"NHL team\" FROM table_1_2886617_3 WHERE \"Player\" = 'Kevin McKay'", |
| "SELECT dog_id, age, weight FROM Dogs WHERE abandoned_yn = 0", |
| "SELECT SUM(value) FROM ArtPieces WHERE style = 'Surrealism' AND galleryId = 1;", |
| "SELECT \"Loci\" FROM table_2_1196020_4 WHERE \"Software\" = 'cinderella'", |
| "SELECT Document_Name, Template_ID FROM Documents WHERE Document_Description LIKE '%w%'", |
| "SELECT projects FROM military_innovation WHERE year = 2019;", |
| "SELECT \"Socialist Labor ticket\" FROM table_2_15558943_2 WHERE \"Liberal ticket\" = 'Arthur Levitt'", |
| "SELECT DISTINCT conductor.name FROM conductor WHERE NOT (SELECT COUNT(*) FROM conductor WHERE conductor.name = 'USA') > 0", |
| "SELECT COUNT(DISTINCT program) FROM student_enrollment WHERE program = 'Data Science' AND semester = 'Fall';", |
| "SELECT \"School\" FROM table_1_28523_2 WHERE \"School\" = 'cunningham hill infant school'", |
| "SELECT \"Code\" FROM country WHERE \"CountryCode\" NOT IN ('AR', 'BR', 'HR', 'LU', 'ME', 'MT', 'NL', 'PT', 'RO', 'SE', 'SK') AND \"GovernmentForm\" != 'RE'", |
| "SELECT country, SUM(num_sessions) FROM virtual_tourism WHERE session_date >= '2023-01-01' AND session_date < '2023-04-01' GROUP BY country HAVING SUM(num_sessions) > 10000 ORDER BY SUM(num_sessions) DESC LIMIT 5;", |
| "SELECT \"Date\" FROM news_readership WHERE \"Opponent\" = 'Chicago Bears'", |
| "SELECT pet_type, AVG(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(Cast(C", |
| "SELECT heritage_sites.name, heritage_sites.region, heritage_sites.status FROM heritage_sites WHERE heritage_sites.region = 'Asia' AND heritage_sites.status = 'Preserved';", |
| "SELECT \"Population (2001 Census)\" FROM table_1_2801442_1 WHERE \"Headquarters\" = 'Bhubaneswar'", |
| "SELECT breed_name FROM `Breeds` WHERE `breed_code` = 'ESK' ORDER BY `number_of_dogs` DESC LIMIT 1", |
| "SELECT COUNT(DISTINCT species) FROM ArcticBiodiversity;", |
| "SELECT \"First season in top division\" FROM table_1_18143210_2 WHERE \"Club\" = 'UNAM'", |
| "SELECT name FROM `country` WHERE `Continent` = 'Africa' AND `Population` < (SELECT `Population` FROM `country` WHERE `Continent` = 'Africa')", |
| "SELECT SUM(revenue) FROM sales WHERE drug_name = 'DrugB' AND sale_date BETWEEN '2021-01-01' AND '2021-06-30' AND country = 'Europe';", |
| "SELECT \"Format\" FROM news_readership WHERE \"Type\" = 'primary' AND \"Call letters\" = 'kbjs'", |
| "SELECT name FROM Highschooler WHERE friends_count >= 3", |
| "SELECT country, COUNT(s.mission_name) FROM space_missions s WHERE s.launch_status = 'Success' GROUP BY country;", |
| "SELECT \"Party\" FROM table_1_1342338_6 WHERE \"Incumbent\" = 'richard j. welch'", |
| "SELECT COUNT(DISTINCT \"ModelId\") FROM \"car_makers\" WHERE \"Country\" = 'USA'", |
| "SELECT ProductName FROM Product WHERE CertificationDate IS NOT NULL AND Certified = TRUE;", |
| "SELECT \"Away team\" FROM table_2_10775890_18 WHERE \"Venue\" = 'lake oval'", |
| "SELECT shop, COUNT(DISTINCT employee) as num_hired FROM news_readership WHERE country = 'India' OR country = 'Argentina' GROUP BY shop;", |
| "SELECT OperationID, Operation, Region, Budget FROM IntelligenceOperations WHERE Region = 'Middle East' AND Region LIKE '%'", |
| "SELECT MAX(\"Att.\" + 0.0) FROM table_2_10966926_7 WHERE \"Player\" = 'clinton portis'", |
| "SELECT COUNT(*) FROM news_readership;", |
| "SELECT state, SUM(sales) FROM electric_vehicles WHERE year IN (2020, 2021) AND state = 'California' GROUP BY state;", |
| "SELECT \"Tournament\" FROM table_2_15209530_5 WHERE \"2008\" = '1r' AND \"2009\" = 'q1'", |
| "SELECT death.tour, death. injury FROM (SELECT `death` FROM `battle` WHERE `tonnage` = 't' UNION SELECT `death` FROM `ship` WHERE `tonnage` = 't') AS `death` FROM `news_readership` WHERE `country` = 'India' AND `topic` IN ('Battle of Adrianople', 'Battle of Serres', 'Battle of Rusion', 'Battle of Messinopolis', 'Battle of Rodosto', 'Battle of Hissar', 'Battle of Bacchus', 'Battle of Philippopolis', 'Battle of Dantewada, Chhattisgarh', 'Battle of Kanker, Chhattisgarh', 'Siege of Constantinople', 'Battle of Dantewada, Chhattisgarh', 'Battle of Bacchus', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion', 'Battle of Rusion',", |
| "SELECT Make, MAX(Range) as MaxRange, MIN(Range) as MinRange FROM Electric_Vehicles GROUP BY Make;", |
| "SELECT \"Date\" FROM table_2_11190568_3 WHERE \"Team\" = 'waterford' AND \"Player\" = 'tom feeney' AND \"Opposition\" = 'waterford'", |
| "SELECT conductor.name FROM conductor JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id WHERE orchestra.orchestra_id = (SELECT MAX(orchestra.orchestra_id) FROM orchestra)", |
| "SELECT MAX(area_size) FROM marine_protected_areas WHERE conservation_status = 'Least Concern';", |
| "SELECT \"Directed by\" FROM news_readership WHERE \"Series #\" = '1'", |
| "SELECT conductor.name FROM conductor JOIN orchestra ON conductor.conductor_id = orchestra.conductor_id GROUP BY conductor.name HAVING COUNT(*) = (SELECT COUNT(*) FROM orchestra WHERE conductor.name = orchestra.name)", |
| "SELECT State, DispensaryCount FROM DispensariesByState WHERE DispensaryCount > (SELECT MAX(DispensaryCount) FROM DispensariesByState) ORDER BY DispensaryCount DESC LIMIT 5;", |
| "SELECT \"Title\" FROM news_readership WHERE \"Production code\" = '6.18'", |
| "SELECT \"name\", \"release_year\" FROM \"singer_in_concert\" WHERE \"country\" = 'India'", |
| "SELECT state, COUNT(fan_id) FROM fans WHERE state IN (SELECT state FROM fans) GROUP BY state;", |
| "SELECT \"2nd Member\" FROM table_2_1827767_1 WHERE \"1st Party\" = 'conservative' AND \"Election\" = '1865'", |
| "SELECT \"Birth_Year\", \"Citizenship\" FROM \"singer\" WHERE \"Name\" IN ('Liliane Bettencourt', 'Christy Walton', 'Alice Walton', 'Liliane Bettencourt', 'Jacqueline Mars', 'Gina Rinehart', 'All This Time', 'Susanne Klatten', 'Abigail Johnson', 'Mysterious Girl');", |
| "SELECT AVG(avg_speed) FROM test_drives WHERE vehicle_type = 'EV';", |
| "SELECT animal FROM news_readership WHERE topic LIKE 'French voice actor%' AND country = 'France' AND topic LIKE 'German voice actor%' AND country = 'Germany'", |
| "SELECT Template_Type_Code FROM Templates WHERE Template_Type_Description = 'Book'", |
| "SELECT MAX(price) FROM sports_venue;", |
| "SELECT MIN(\"Olympics so far\") FROM table_2_1806946_2 WHERE \"Sailors\" > '1' AND \"First OG\" > '1948' AND \"Class\" = 'Flying Dutchman'", |
| "SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (SELECT grade FROM (", |
| "SELECT species, AVG(stock_level) AS avg_stock, AVG(biomass) AS avg_biomass FROM fish_stock GROUP BY species;", |
| "SELECT \"Money ( \u00a3 )\" FROM table_2_18122130_7 WHERE \"Country\" = 'england' AND \"Player\" = 'malcolm mackenzie'", |
| "SELECT tv_series.series_name, tv_series.pixel_aspect_ratio_PAR FROM tv_series WHERE tv_series.country NOT IN ('India', 'Argentina') AND tv_series.pixel_aspect_ratio_PAR IS NOT NULL;", |
| "SELECT AVG(price) FROM concerts WHERE type = 'jazz';", |
| "SELECT \"Olives\" FROM table_2_18072454_2 WHERE \"Vegetables\" < '259,743' AND \"Industrial crops\" > '14,625' AND \"Fruit Trees\" > '20,768' AND \"Governorate\" = 'India'", |
| "SELECT Document_ID FROM Documents WHERE Paragraph_Text LIKE '1 to 2'", |
| "SELECT SUM(sessions) FROM financial_capability_training WHERE quarter = 1 AND year = 2022 AND country = 'Germany';", |
| "SELECT \"Decile\" FROM news_readership WHERE \"Area\" = 'southbrook' AND \"Decile\" < '8'", |
| "SELECT Template_ID FROM Templates WHERE Template_Type_Code NOT IN (SELECT Template_ID FROM Ref_Template_Types)", |
| "SELECT AVG(budget) FROM green_buildings WHERE building_name LIKE 'Green%' OR building_name LIKE 'Green%';", |
| "SELECT \"Week\" FROM table_2_13258745_2 WHERE \"Date\" = '1' AND \"Game site\" = 'kingdome'", |
| "SELECT stadium.Stadium_ID FROM stadium WHERE stadium.Stadium_ID IS NULL;", |
| "SELECT COUNT(DISTINCT fan_demographics.id) FROM fan_demographics WHERE fan_demographics.country = 'Canada' AND fan_demographics.team = 'Toronto Raptors';", |
| "SELECT \"2011\" FROM table_2_15209530_5 WHERE \"2009\" = '1r' AND \"2010\" = '1r'", |
| "SELECT airline, abbreviation FROM airlines WHERE country = 'USA'", |
| "SELECT AVG(Budget) FROM Accessible_Tech_Projects WHERE Location = 'Africa';", |
| "SELECT \"Time\" FROM table_2_1119345_1 WHERE \"Game\" = '7'", |
| "SELECT COUNT(Dogs.`dog_id`) FROM Dogs WHERE Dogs.`age` < (SELECT AVG(Age) FROM Dogs);", |
| "SELECT savings * 100.00 FROM energy_efficiency WHERE state = 'Texas' AND year = 2020;", |
| "SELECT \"Year completion expected\" FROM table_2_166570_4 WHERE \"Name\" = 'goldin finance 117' AND \"Country\" = 'china' AND \"Name\" = 'goldin finance 117'", |
| "SELECT language, COUNT(*) FROM news_readership WHERE country IN ('India', 'Argentina') GROUP BY language;" |
| ] |
| } |
