Text Generation
Transformers
Safetensors
kambo
dynquant
quantized
3-bit
text-to-sql
code
mixture-of-experts
Mixture of Experts
hybrid-architecture
conversational
custom_code
Instructions to use VikramPal/kambo-v1-sql-code-DynQuant-3bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VikramPal/kambo-v1-sql-code-DynQuant-3bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="VikramPal/kambo-v1-sql-code-DynQuant-3bit", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("VikramPal/kambo-v1-sql-code-DynQuant-3bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use VikramPal/kambo-v1-sql-code-DynQuant-3bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "VikramPal/kambo-v1-sql-code-DynQuant-3bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VikramPal/kambo-v1-sql-code-DynQuant-3bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/VikramPal/kambo-v1-sql-code-DynQuant-3bit
- SGLang
How to use VikramPal/kambo-v1-sql-code-DynQuant-3bit with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "VikramPal/kambo-v1-sql-code-DynQuant-3bit" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VikramPal/kambo-v1-sql-code-DynQuant-3bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "VikramPal/kambo-v1-sql-code-DynQuant-3bit" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VikramPal/kambo-v1-sql-code-DynQuant-3bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use VikramPal/kambo-v1-sql-code-DynQuant-3bit with Docker Model Runner:
docker model run hf.co/VikramPal/kambo-v1-sql-code-DynQuant-3bit
File size: 451,318 Bytes
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"predictions": [
"SELECT country, AVG(investment) FROM climate_finance WHERE year = 2021 AND region = 'South America' GROUP BY country;",
"SELECT \"Away team score\" FROM table_2_10808089_3 WHERE \"Home team\" = 'hawthorn'",
"SELECT COUNT(CarMakers.Model) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83,",
"SELECT SUM(CASE WHEN production_quantity > 1500 THEN 1 ELSE 0 END) FROM wells WHERE category = 'offshore';",
"SELECT \"Model number\" FROM table_2_1604940_1 WHERE \"Order part number\" = 'TMDML44BKX5LD'",
"SELECT \"Final_Table_Made\" as \"Final_Table_Made\", \"Best_Finish\" as \"Best_Finish\" FROM \"people\" WHERE \"People_ID\" = '1' UNION all SELECT \"FinalTable_Made\" as \"FinalTable_Made\", \"Best_Finish\" as \"Best_Finish\" FROM \"people\" WHERE \"People_ID\" = '6'",
"SELECT country, SUM(incidents) FROM Ingredient_Sourcing WHERE incidents > 0 GROUP BY country;",
"SELECT \"Result\" FROM table_1_15778392_1 WHERE \"Original artist\" = 'Betty Everett'",
"SELECT 'VAC' as treatment_type_description, 'WASL' as treatment_type_code, 'WASL' as treatment_type_code, 'WASL' as cost_of_treatment from `Treatment_Types` WHERE `treatment_type_code` = 'WASL' and `cost_of_treatment` = '147' ORDER BY `cost_of_treatment` = '147' DESC LIMIT 1",
"SELECT country, SUM(quantity FROM TextileSourcing GROUP BY country ORDER BY SUM(quantity DESC;",
"SELECT \"GDP (ppp) per capita\" FROM table_1_25869317_1 WHERE \"GDP (nominal) per capita\" > \"GDP (PPP) per capita\" ORDER BY \"GDP (ppp) per capita\" ASC LIMIT 1",
"SELECT `first_name`, `last_name` FROM `Treatments` WHERE `cost_of_treatment` < '567' AND `treatment_type_code` = 'WALK' AND `treatment_id` = '10-11-12-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11-11",
"SELECT region, COUNT(DISTINCT donor_name) FROM donations GROUP BY region",
"SELECT \"2012\" FROM table_2_11870943_7 WHERE \"2011\" = '1r' AND \"2010\" = '2007' AND \"2009\" = '1r' AND \"2001\" = 'A'",
"SELECT SUM('GlobalPoppedArea') FROM news_readership WHERE countryCode = 'AFG' UNION ALL SELECT 'GlobalPoppedArea' FROM news_readership WHERE countryCode = 'NLD' UNION ALL SELECT 'GlobalPoppedArea' FROM news_readership WHERE countryCode = 'NLD'",
"SELECT branch, AVG(personnel_count) FROM MilitaryPersonnel WHERE branch = 'US' GROUP BY branch;",
"SELECT \"Viewers\" FROM table_1_27039190_3 WHERE \"Viewers\" = 'Under 2.61m'",
"SELECT \"singer\", \"Number of concerts\" FROM \"singer\" WHERE \"singer\" IN ('1', '2', '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', '100', '101', '102', '103', '104', '105', '1",
"SELECT MAX(ResilienceScore) FROM Infrastructure WHERE Location = 'Texas';",
"SELECT \"Nations\" FROM news_readership WHERE \"Country\" = 'Czech Republic' AND \"Competition\" = 'Cook Island League'",
"SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" > 0",
"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, i.weight FROM Pets i WHERE i.age > 1",
"SELECT name FROM VirtualTours WHERE country = 'Canada' AND price > 20",
"SELECT \"Points\" FROM table_2_15696410_1 WHERE \"Rank\" = '1'",
"SELECT \"grade\" FROM \"Highschooler\" WHERE \"grade\" > '10' GROUP BY \"grade\"",
"SELECT org_id, COUNT(DISTINCT org_name) FROM community_orgs GROUP BY org_id;",
"SELECT \"College\" FROM table_2_11677760_6 WHERE \"Hometown\" = 'delray brooks'",
"SELECT MAX('GNP') FROM countrylanguage WHERE Language = 'T' UNION ALL SELECT 'GDP' FROM countrylanguage WHERE Language = 'T' UNION ALL 'GDP' FROM country WHERE 'GDP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T' UNION ALL 'GNP' FROM country WHERE 'GNP' = 'T'",
"SELECT DISTINCT location, quantity FROM supply WHERE element = 'Dysprosium' AND year = 2018 AND location = 'Mine C'",
"SELECT \"Opponent\" FROM table_2_13258745_2 WHERE \"Record\" = '1-3'",
"SELECT student_id FROM (SELECT student_id, * FROM (SELECT student_id, * FROM \"Highschooler\" WHERE \"highschooler_id\" = \"highschooler_id\" GROUP BY student_id ORDER BY count(*) DESC LIMIT 1) GROUP BY student_id) AS student_likes GROUP BY student_id;",
"SELECT ProjectName FROM Projects WHERE Domain = 'Social Good' AND Leader Community = 'Historically Underrepresented Community 2'",
"SELECT \"Weight (kg)\" FROM table_2_15715109_22 WHERE \"1997\u20131998 Team\" = 'Virginia, Minnesota'",
"SELECT \"singer\" FROM \"stadium\" WHERE \"stadium_ID\" = '10'",
"SELECT MAX(esg_score) FROM if not exists companies WHERE companies.sector = 'Education' AND companies.sege_score >= 8.7 AND companies.year = 2020;",
"SELECT \"To par\" FROM table_2_18133211_6 WHERE \"Country\" = 'Argentina'",
"SELECT \"first_name\", \"country_code\" FROM \"players\" WHERE \"turs\" > '1' AND \"turs\" < '10' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '10' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '1000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '10000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '100000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '1000000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '10000000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '100000000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '1000000000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs\" < '10000000000' UNION ALL SELECT \"first_name\", \"first_name\" FROM \"players\" WHERE \"turs",
"SELECT grade_id, AVG(mental_health_score) OVER (ORDER BY AVG(mental_health_score)) AS average_score FROM student_mental_health GROUP BY grade_id;",
"SELECT \"Date\" FROM table_2_12410929_75 WHERE \"Result\" = 'draw'",
"SELECT \"Orchestra\", \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\", \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL GROUP BY \"Orchestra_ID\" UNION \"Orchestra\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION \"performance\", \"Orchestra_ID\" UNION",
"SELECT SUM(severity) FROM vulnerabilities WHERE severity = 'critical';",
"SELECT \"Nation\" FROM table_2_17841851_1 WHERE \"Gold\" < \"16\" AND \"Bronze\" > \"6\" AND \"Bronze\" > \"16\"",
"SELECT DISTINCT Template_Type_Description FROM Document_Templates WHERE Document_Templates.Document_ID = '16615,80'",
"SELECT name, family FROM fish_species WHERE region = 'South America';",
"SELECT \"Season\" FROM table_2_16450028_1 WHERE \"Third\" = 'shawn rojeski'",
"SELECT conductor.name FROM conductor WHERE conductor.name LIKE 'Cedro' UNION SELECT conductor.name FROM orchestra",
"SELECT SUM(Quantity) FROM HempSales WHERE Material = 'Hemp';",
"SELECT \"1956\u20131968\" FROM table_2_1060790_5 WHERE \"1951\" = '1954' AND \"1956\u20131968\" = '1969'",
"SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Hight_definition_TV\" = '16:9' ORDER BY \"Hight_definitionTVsRating\" DESC, \"Hight_definitionTVsRating\" LIMIT 3",
"SELECT transportation_id, sum(co2_emission) FROM transportation WHERE region = 'Oceania' GROUP BY transportation_id;",
"SELECT \"L3 cache\" FROM table_2_18823880_4 WHERE \"Release date\" = 'january 2011' AND \"Release price ( usd )\" = '317'",
"SELECT Template_Details FROM RefTemplate_Types WHERE Document_Name IS NOT NULL",
"SELECT * FROM HealthEquityMetrics WHERE Region = 'rural';",
"SELECT \"Position\" FROM table_1_1965650_7 WHERE \"NHL team\" = 'Detroit Red Wings'",
"SELECT Document_Details FROM Documents WHERE DocumentID IS NOT NULL;",
"SELECT recipient, SUM(DonationAmount) FROM Donations GROUP BY Recipient ORDER BY SUM(DonationAmount) DESC LIMIT 3;",
"SELECT \"Location Attendance\" FROM table_2_11960407_7 WHERE \"Record\" = '40\u201340'",
"SELECT AVG('GDP') FROM (SELECT 'Country' FROM country WHERE 'Language' = 'English' GROUP BY 'Country' HAVING 'Country' IS NOT NULL) AS 'GDP' WHERE 'GDP' IS NOT NULL;",
"SELECT country FROM asia_accommodations WHERE type = 'Eco-friendly' GROUP BY country ORDER BY SUM(type) DESC LIMIT 5",
"SELECT \"1\u20139 years\" FROM table_1_174266_6 WHERE \"2010\" = '1.0'",
"SELECT \"other_student_details\" FROM \"Students\" WHERE \"other_student_details\" IS NOT NULL;",
"SELECT country, SUM(consumption) FROM water_consumption WHERE consumption > 1000000000 GROUP BY country;",
"SELECT \"Top 10\" + \"Avg. Finish\" + \"Poles\" + \"Winnings\" + \"Position\" + \"Team(s)\" FROM table_1_2190919_3 WHERE \"Winnings\" = '250,667' + \"Poles\" + \"Avg. Finish\" + \"Avg. Start\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"Avg. Poles\" + \"",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Template_TypeCode IS NOT NULL GROUP BY Template_TypeCode HAVING COUNT(DISTINCT DocumentID) > 1",
"SELECT COUNT(*) FROM cases WHERE attorney = 'Rodriguez' AND state = 'Texas' AND outcome = 'won' AND date = '2020-01-01';",
"SELECT \"Tournament location\" FROM table_1_12243817_1 WHERE \"Champion\" = 'Vicky Hurst'",
"SELECT course_description FROM `Transcript_Contents` WHERE course_id = 2;",
"SELECT name, SUM(readership) FROM news_readership WHERE country = 'India' GROUP BY topic ORDER BY SUM(readership) DESC LIMIT 3;",
"SELECT \"Home team score\" FROM table_2_10809823_15 WHERE \"Away team\" = 'Fitzroy'",
"SELECT \"title\" FROM \"Cartoon\" WHERE \"title\" LIKE '18:49' + '16:9' UNION '18:49' + '16:9' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:49' + '16:10' UNION '18:",
"SELECT city, AVG(income) FROM incomes WHERE state = 'California' GROUP BY city ORDER BY AVG(income) DESC;",
"SELECT \"Date\" FROM table_2_17282079_5 WHERE \"Country\" = 'Panama'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" = 'AFG' INTERSECT SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" > '1000000000'",
"SELECT city, SUM(consumption) FROM water_consumption WHERE year = 2020 GROUP BY city ORDER BY SUM(consumption) DESC LIMIT 3;",
"SELECT \"Points\" FROM table_2_12821570_2 WHERE \"Goals Conceded\" = '0'",
"SELECT \"Channel\" FROM \"TV_series\" WHERE \"Series_Name\" = 'The Rise of the Blue Beetle!'",
"SELECT employees FROM department WHERE name = 'Mining';",
"SELECT \"Result\" FROM table_1_1341395_33 WHERE \"District\" = 'New York,6'",
"SELECT \"Hight_definition_TV\" FROM \"TV_series\" WHERE \"Language\" = 'English'",
"SELECT MAX(Disease) FROM Patients WHERE Disease = 'HIV' AND Country = 'Australia';",
"SELECT \"Married to\" FROM table_2_16997067_1 WHERE \"Born\" = 'rania al yassin'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Singer_ID\" NOT IN (SELECT \"Song_ID\" FROM \"song\" WHERE \"Singer_ID\" IS NOT IN \"singer\" \"Song_ID\")",
"SELECT CertificationCount FROM EthicalAICertifications WHERE CertificationCount >= 5000;",
"SELECT \"Score\" FROM table_2_14827502_6 WHERE \"Game\" = '43'",
"SELECT \"winner_id\" FROM \"matches\" WHERE \"tourney_date\" = '2013-W-WT-TUR-01A-2013' AND \"tourney_id\" = 'wta-championship' AND \"tournamenting\" = 'left-handed'",
"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 \"Position\" = 'center'",
"SELECT name FROM museum WHERE \"Open_Year\" > '2010' INTERSECT SELECT name FROM museum WHERE \"Open_Year\" > '2010'",
"SELECT SUM(CASE WHEN type = 'Tram' THEN 1 ELSE 0 END) * 100.0 / SUM(CASE WHEN type = 'Tram' THEN 1 ELSE 0 END) FROM fleet WHERE type = 'Tram' UNION SELECT SUM(CASE WHEN type = 'Bus' THEN 1 ELSE 0 END) * 100.0 / SUM(CASE WHEN type = 'Bus' THEN 1 ELSE 0 END) FROM fleet WHERE type = 'Bus' GROUP BY type;",
"SELECT \"Laid Down\" FROM table_1_1206583_2 WHERE \"Builder\" = 'scotts, greenock' AND \"Commissioned\" = 'scotts, greenock' AND \"Laid Down\" != 'scotts, greenock'",
"SELECT Template_Type_Code FROM Templates WHERE Template_TypeCode = 'PPT'",
"SELECT DonorID, Amount FROM Donations GROUP BY DonorID, Amount ORDER BY Amount DESC, SUM(DonationID) DESC LIMIT 5;",
"SELECT \"Placing\" FROM table_2_14988364_1 WHERE \"Players\" = 'Judith Wiesner and Alex Antonitschch'",
"SELECT LName FROM Student WHERE StuID = 1020 UNION ALL SELECT LName FROM Student WHERE StuID = 1019",
"SELECT SUM(CASE WHEN funders.funding_round >= 10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT MIN(\"Score\") FROM table_2_18097219_4 WHERE \"Place\" = 't10' AND \"Country\" = 'ireland'",
"SELECT shop_name, shop_location, shop_district, shop_number_products, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_man",
"SELECT * FROM nail_polishesProduct_name WHERE natural THEN sale_country = 'Germany';",
"SELECT \"Player\" FROM table_2_16456989_3 WHERE \"Score\" = '68-67=135'",
"SELECT \"stadium_ID\", \"Capacity\" FROM \"stadium\" WHERE \"stadium_ID\" = '10' UNION ALL SELECT \"stadium_ID\", \"Capacity\" FROM \"stadium\" WHERE \"stadium_ID\" = '10'",
"SELECT country, COUNT(article_id) AS article_count, PERCENT_RANK(C else article_count) as pct_of_articles FROM articles GROUP BY country;",
"SELECT \"EPA rated combined fuel economy\" FROM table_1_23840623_4 WHERE \"Vehicle\" = 'Nissan Leaf' AND \"EPA rated combined fuel economy\" = '120 g/mi (186 g/km) (160 g/mi (182 g/km) (160 g/mi (182 g/km)))';",
"SELECT AVG(transcript_date) FROM \"Transcript_Contents\" WHERE \"student_course_id\" = (SELECT \"student_enrolment_id\" FROM \"Student_Enrolment_Courses\" WHERE \"student_enrolment_id\" IN (SELECT \"student_enrolment_id\" FROM \"Students\" WHERE \"student_id\" = '1' AND \"current_address_id\" = '1' )), \"course_id\" = '1' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13' AND \"course_id\" = '13",
"SELECT Name, AVG(DonationAmount) OVER (PARTITION BY Name) AS AverageDonated FROM Donors WHERE DonationAmount > 100 GROUP BY Name ORDER BY AverageDonated DESC;",
"SELECT \"Gold\" FROM table_2_18826631_4 WHERE \"Rank\" = 'total' AND \"Bronze\" > '2'",
"SELECT \"people\" FROM \"poker_player\" WHERE \"people\" > \"people\" + \"people\" GROUP BY \"people\" ORDER BY \"people\" DESC;",
"SELECT Title, ResearchInterest FROM Publications WHERE FacultyID IN (1, 2, 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, 1000);",
"SELECT \"Party\" FROM table_1_1341522_38 WHERE \"Opponent\" = 'Mike Oakes'",
"SELECT min('first_name'), min('middle_name'), min('last_name', 'other_details') as last_name, min('middle_name', 'other_details') as middle_name, min('first_name', 'last_name', 'other_details') as first_name FROM Student_Enrolment_Courses where student_id = 1000000000 and student_enrolment_id = 2 and course_id = 2 and course_id = 2",
"SELECT city, sum(num_chargers) FROM ev_charging_stations WHERE country = 'India' GROUP BY city;",
"SELECT \"Urban Population (2010)\" FROM table_2_16489766_2 WHERE \"Province\" = 'Guangxi'",
"SELECT \"Country\" as \"Number_of_Channels\", \"18_49_Rating_Share\" as \"Country_and_Rated_Channels\", \"18_49_Rating_Share\" as \"Country_and_Share\", \"18_49_Rating\" as \"Country_and_Rated\" FROM \"TV_series\" WHERE \"Channel\" = '1' GROUP BY \"Country\";",
"SELECT MAX(AverageSpeed) FROM Vessel;",
"SELECT \"Club\" FROM table_2_18212767_1 WHERE \"Points for\" = '77'",
"SELECT AVG(L.winnerht + L.winnerid) as avg_liver, AVG(R.winnerht + Wasthtid) as avg_rast, AVG(R.sturnid + R.sturnid) as avg_rast FROM (SELECT L.l, W.h as hand, L.r as root, L.st as stale, L.ioc as ioc, L.stid as seedid, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid as seed, L.stid",
"SELECT plant_id, SUM(amount) FROM Waste WHERE date >= '2020-01-01' AND date <= '2020-01-01 + 100' GROUP BY plant_id;",
"SELECT \"Score\" FROM table_2_18156085_4 WHERE \"To par\" = '\u20135' AND \"Country\" = 'India'",
"SELECT \"Country\" FROM \"singer\" WHERE \"Age\" = '6' INTERSECT SELECT \"Country\" FROM \"singer\" WHERE \"Age\" = '2'",
"SELECT SUM(donation_amount) FROM donations WHERE cause_id = 1;",
"SELECT \"Date\" FROM table_2_16780110_1 WHERE \"Week\" = '3'",
"SELECT dog_name FROM `Dogs` WHERE `treatment_type_description` = 'Vaccination' AND `treatment_type_code` = 'WASL' UNION ALL SELECT `treatment_type_description` FROM `Dogs` WHERE `treatment_type_code` = 'Vaccination' AND `treatment_type_code` = 'WASL';",
"SELECT AVG(amount) FROM production WHERE country = 'Vietnam' AND year = 2021;",
"SELECT \"Founded\" FROM table_1_28211213_1 WHERE \"Team Nickname\" = 'Chips'",
"SELECT \"treatment_type_description`\" FROM `Treatment_Types` WHERE `treatment_type_code` = 'VAC' AND `cost_of_treatment` = '100' UNION ALL SELECT `treatment_type_description` FROM `Treatment_Types` WHERE `treatment_type_code` = 'VAC' AND `cost_of_treatment` = '100'",
"SELECT AVG(cost) FROM (SELECT cost, AVG(year) as year, AVG(cost) as cost FROM projects_pPakistan_balochistan where province = 'Balochistan' AND year >= 2018 GROUP BY project_type, year)",
"SELECT \"Away team score\" FROM table_2_10773753_13 WHERE \"Venue\" = 'brunswick street oval' AND \"Home team\" = 'franklin'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Citizenship\" = 'Chile' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Citizenship\" = 'United States' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Liliane Bettencourt' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Christy Bettencourt' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Freak' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Gina Rinehart' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'All This Time' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Jacqueline Mars' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Gina Rinehart' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'All This Time' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Christy' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Mysterious Girl' UNION ALL SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'Abigail' UNION ALL SELECT \"s",
"SELECT AVG(generation_cost) FROM garments WHERE garment_id = 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Network\" FROM table_1_28190363_1 WHERE \"Network\" = 'channel 5'",
"SELECT 'airports' FROM \"flights\" WHERE \"Country\" = 'United States'",
"SELECT COUNT(DISTINCT EmployeeID) FROM EmployeeEducation WHERE Department = 'Accessibility Services' AND Degree = 'Master''s';",
"SELECT \"Crowd\" FROM table_2_10808681_6 WHERE \"Date\" = '10.13 (73)'",
"SELECT 'europe' as continent, 'uk' as country_name, 'russia' as country_name FROM \"car_makers\" WHERE \"Country\" IS NOT NULL GROUP BY \"CountryName\";",
"SELECT HospitalName, Capacity, Utilization, StateName, AVG(Utilization) OVER (ORDER BY Utilization) as AvgUtilization, MAX(Utilization) OVER (ORDER BY Utilization) as MaxUtilization, MAX(Capacity) OVER (ORDER BY Capacity) as MaxCapacity, MAX(Capacity) OVER (ORDER BY Capacity) as MaxCapacity, MAX(Capacity) OVER (ORDER BY Capacity) OVER MAX(Capacity) OVER MAX(Utilization) OVER (ORDER BY Capacity) OVER MAX(Utilization) OVER (ORDER BY Capacity) OVER MAX(Utilization) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity) OVER MAX(Capacity",
"SELECT \"Affiliation\" FROM table_1_20887670_1 WHERE \"Colors\" = 'maroon and white'",
"SELECT conductors_name FROM performance WHERE performance_date IS NULL GROUP BY performance_date ORDER BY COUNT(performance_date) DESC;",
"SELECT MIN(mileage_range) FROM vehicle_range WHERE make = 'Nissan' AND model = 'Leaf';",
"SELECT MAX(\"Opened in\") FROM table_2_1255817_4 WHERE \"Type\" = '1996' AND \"Manufacture\" = 'Zamperla'",
"SELECT g.GovernmentForm, AVG(g.LifeExpectancy) as AverageLifeExpectancy, SUM(g.LifeExpectancy) as TotalLifeExpectancy, SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) * SUM(g.LifeExpectancy) *",
"SELECT AVG(Salary) FROM Employees WHERE Department = 'Engineering' AND Ethnicity = 'Latinx';",
"SELECT \"Pts\" FROM table_2_10321815_1 WHERE \"Trophy\" = 'Glasgow Rocks'",
"SELECT \"country\" FROM \"car_makers\" WHERE \"Maker\" IS NOT NULL",
"SELECT genre, SUM(frequency) FROM media_content WHERE frequency > 0 GROUP BY genre;",
"SELECT \"Year\" FROM table_2_11222744_2 WHERE \"Catalog Number\" = '80429 / bta80429'",
"SELECT visitor_ID, visitor_Name, visitor.Level_of_membership FROM visit WHERE visitor.Level_of membership > '1'",
"SELECT name, sum(founded_year) FROM Company GROUP BY name ORDER BY sum(founded_year) DESC;",
"SELECT \"Attendance\" FROM table_2_10860384_2 WHERE \"Week\" = '12'",
"SELECT \"course\" FROM \"teacher\" WHERE \"Teacher_ID\" > '7' ORDER BY \"course\"",
"SELECT visitor_id FROM Visitor Exhibition (visitor_id, exhibition_id) GROUP BY visitor_id HAVING COUNT(exhibition_id) > 1",
"SELECT \"Opponent\" FROM table_1_16864968_9 WHERE \"Location\" = 'prudential center'",
"SELECT Template_Type_Code, 'Template Type Code' FROM RefTemplate_Types WHERE Template_TypeCode IS NOT null GROUP BY Template_TypeCode",
"SELECT habitat, Efforts FROM PreservationTrends WHERE Efforts >= 120 GROUP BY habitat, Efforts ORDER BY Efforts DESC, habitat;",
"SELECT \"Mac OS X\" FROM table_2_1163160_2 WHERE \"Windows\" = 'no' AND \"GNU/Linux\" = 'yes'",
"SELECT conductor_name, age FROM \"performance\" WHERE \"Conductor_ID\" = ' conductor' ORDER BY \"age\"",
"SELECT DonorID, Amount FROM Donations GROUP BY DonorID, Amount ORDER BY Amount DESC LIMIT 3;",
"SELECT \"Away team\" FROM table_2_16388439_1 WHERE \"Crowd\" > '19,498' AND \"Home team\" = 'sydney'",
"SELECT \"car_makers\" FROM \"cars_data\" WHERE \"MPG\" > '15' AND \"MPG\" > '17' AND \"MPG\" > '10'",
"SELECT MIN(accountBalance) FROM clients WHERE region = 'Northwest';",
"SELECT \"Exists\" FROM table_2_15739098_1 WHERE \"Director\" = 'Ray Jenkins'",
"SELECT COUNT(DISTINCT \"Store_ID\") FROM \"shop\";",
"SELECT COUNT(*) FROM IoTDevices WHERE device_type = 'Soil Moisture Sensor' AND region = 'Asia';",
"SELECT \"Attendance\" FROM table_1_16661199_2 WHERE \"Record\" = '10'",
"SELECT \"section_description\" FROM \"Transcript_Contents\" WHERE \"course_id\" = '2' AND \"course_name\" = 'g' AND \"section_name\" = 'voluptatem'",
"SELECT provider_type, COUNT(*) FROM providers GROUP BY provider_type;",
"SELECT \"Final Points\" FROM table_2_18616766_3 WHERE \"Total\" = '0' AND \"Draw\" = '22'",
"SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL GROUP BY \"Orchestra_ID\"",
"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 = 'Hawaii' INTERSECT SELECT email_address FROM professionals WHERE state = 'Wisconsin'",
"SELECT region, category, amount * 100.0 / sum(amount) as percentage FROM humanitarian_aid WHERE category = 'Education' GROUP BY region, category, percentage;",
"SELECT \"Class\" FROM table_2_13655126_1 WHERE \"Race\" = 'charlotte camel gt 500'",
"SELECT last_name, cell_number, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last_name, last",
"SELECT AVG(Cost) FROM building_permits WHERE Permit_type = 'Residential' AND state = 'California' AND year = 2019;",
"SELECT \"Player\" FROM table_1_14342480_15 WHERE \"Field goals\" = '14'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Citizenship\" = 'United States' AND \"Singer_ID\" NOT IN ('Chile', 'Australia', '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', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands",
"SELECT AVG(revenue) FROM virtual_tours WHERE name = 'Virtual Barcelona Tour';",
"SELECT \"Date\" FROM table_2_167446_1 WHERE \"Nationality\" = 'france'",
"SELECT \"Paragraphs\" FROM \"Ref_Template_Types\" WHERE \"Template_TypeCode\" = 'PPT' GROUP BY \"Paragraphs\"",
"SELECT AVG(rating) FROM (SELECT rating FROM k Dramas WHERE release_year BETWEEN '2016' AND '2018' AND rating IS not null) AS t1 WHERE rating IS null;",
"SELECT \"Percent of Slovenes 1951\" FROM table_1_10797636_1 WHERE \"Village (Bach)\" = 'Bach'",
"SELECT Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID, Orchestra_ID",
"SELECT Region, SUM(CASE WHEN Natural THEN 1 ELSE 0 END) AS Natural_Restock, SUM(CASE WHEN Natural THEN 0 ELSE 1 END) AS Restock_Restock FROM Ingredient_Sourcing WHERE Natural THEN 'Natural' END;",
"SELECT \"Final Score\" FROM table_2_10944289_6 WHERE \"Final Score\" = '7-13'",
"SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" = '1' INTERSECT SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" = '1'",
"SELECT (Quantity * 100.0 / Quantity) * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity * 100.0 / Quantity *",
"SELECT \"Venue\" FROM table_2_10774891_2 WHERE \"Home team\" = 'home team' AND \"Home team score\" = '9.22 (76)'",
"SELECT \"CountryCode\", \"Language\" FROM countrylanguage WHERE \"CountryCode\" IN ('AFG', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD",
"SELECT MAX(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, SUM(likes.readership) FROM likes JOIN (SELECT student_id, * FROM likes WHERE student_id IN (1, 2, 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, 75, 76",
"SELECT AVG(age) FROM mental_health.professionals WHERE profession = 'Psychologist';",
"SELECT \"Result\" FROM table_1_1341577_10 WHERE \"First elected\" = '1980'",
"SELECT song.title, song.name FROM song WHERE country = 'India' UNION SELECT song.title, song.name FROM song WHERE country = 'Argentina';",
"SELECT city FROM Donors WHERE donor_name IS NOT NULL AND city LIKE 'Miami%'",
"SELECT \"Launch date\" FROM table_2_11869952_3 WHERE \"Institutional authority\" = 'ndc' AND \"Launch vehicle\" = 'hatf-xi'",
"SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = 'afg' UNION SELECT \"Language\" FROM country WHERE \"CountryCode\" = '",
"SELECT MIN(PlayerLevel) FROM Players WHERE PlayerLevel >= 20",
"SELECT \"Away team\" FROM news_readership WHERE \"Home team\" = 'al-ain fc' AND \"Score\" = '1\u20131'",
"SELECT \"Language\" FROM \"TV_series\" WHERE \"Channel\" = '1' GROUP BY \"Language\" ORDER BY '18_49_Rating_Share' DESC, '18_49_Rating' LIMIT 2",
"SELECT species_name, AVG(avgWeight) FROM Species WHERE region = 'Mediterranean' GROUP BY species_name;",
"SELECT \"Laid down\" FROM table_2_1014206_1 WHERE \"Committed\" = 'July 30, 1961'",
"SELECT \"Episode\" FROM \"TV_series\" WHERE \"Channel\" = 'Sky Radio'",
"SELECT AVG(co2_reduction) FROM co2_emission WHERE co2_reduction > 40;",
"SELECT \"Champion\" FROM table_1_1272033_1 WHERE \"Champion\" = 'Xix Xavant'",
"SELECT \"StuID\", \"pet_age\", \"sex\" FROM \"Student\" WHERE \"pet_age\" > 1 GROUP BY \"pet_age\" ORDER BY \"pet_age\" DESC LIMIT 1",
"SELECT region, SUM(price) FROM accommodation WHERE sustainable = 1 GROUP BY region, sum(price)",
"SELECT \"Venue\" FROM table_2_10790651_13 WHERE \"Away team\" = 'hawthorn'",
"SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" IS NOT NULL GROUP BY \"tourney_id\";",
"SELECT SUM(billing_amount) FROM cases INNER JOIN cases.cases_id ON cases.case_id = cases.cust_id WHERE cases.office_id = 1;",
"SELECT \"Finish\" FROM table_2_1252070_1 WHERE \"Laps\" = '51'",
"SELECT \"player_id\" FROM \"matches\" WHERE \"tourney_id\" IS NOT NULL AND \"tours\" IS NOT NULL AND \"tourney_id\" = '6-3 6-1'",
"SELECT SUM(year) FROM Studio_Ghibli WHERE year BETWEEN 1985 AND 2010;",
"SELECT \"Status\" FROM table_2_1228289_2 WHERE \"Project\" = '636.3' AND \"Status\" = 'ordered'",
"SELECT COUNT(CountryId) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,",
"SELECT COUNT(*) FROM finance_projects WHERE start_date <= '2020-01-01' AND end_date >= '2020-01-01';",
"SELECT \"Category\" FROM table_1_28628309_9 WHERE \"Player\" = 'olsen racela'",
"SELECT Template_TypeDescription, COUNT(DISTINCT Document_Name) as Template_Count FROM Document_Types WHERE Document_Name IS NOT NULL GROUP BY Template_TypeDescription",
"SELECT SUM(policy_amount FROM claims WHERE policy_id = 1001",
"SELECT \"Score\" FROM table_2_12397961_13 WHERE \"Opponents\" = 'Diego Junqueira Gabriel Trujillo-Soler'",
"SELECT pet_type, AVG(pet_age) FROM Has_Pet WHERE pet_age IS NOT NULL GROUP BY pet_type;",
"SELECT MIN('departure_time') FROM train_schedule WHERE station_id = '1' AND train_type = 'NQRW';",
"SELECT SUM(\"Laps\") FROM table_2_13719531_1 WHERE \"Time/Retired\" = '19.475'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Document_Name IS NOT NULL GROUP BY Template_TypeCode;",
"SELECT MAX(quantity) FROM DELIVERYrecordS WHERE is_organic = true AND product_id = 1;",
"SELECT \"Cytoplasm\" FROM table_1_13570_1 WHERE \"Nucleus\" = 'Blue'",
"SELECT model FROM \"car_makers\" WHERE \"Maker\" = 'ford' GROUP BY \"Model\" ORDER BY COUNT(\"Model\") DESC LIMIT 1",
"SELECT AVG(budget) FROM ai_projects WHERE project_id IN (1, 2, 3);",
"SELECT \"Venue\" FROM table_2_10747009_16 WHERE \"Away team\" = 'collingwood'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"Language\" = 'lang-tu'",
"SELECT SUM(population) FROM SouthernOcean WHERE whale_species = 'Blue whale'",
"SELECT \"Original air date\" FROM table_1_14035132_3 WHERE \"No. in series\" = '29a'",
"SELECT \"teacher\" FROM \"course\" WHERE \"teacher\" = 'teacher'",
"SELECT SUM(amount) FROM rnd_budget_history WHERE fiscal_year BETWEEN '2019-01-01' AND '2022-12-31';",
"SELECT \"Date\" FROM table_2_13552019_4 WHERE \"Save\" = 'aguilera (5)'",
"SELECT property_name FROM Properties WHERE property_type_code = 'Other_Available_FFeatures' AND property_type_code IN (1, 2) UNION ALL SELECT property_name FROM Properties WHERE property_type_code = 'Other_Available_FFeatures' AND property_type_code IN (1, 2);",
"SELECT SUM(served_in) FROM patients_canada_uk WHERE healthcare_center LIKE 'Rural%' AND location LIKE 'Rural%'",
"SELECT \"Date\" FROM table_2_10823950_8 WHERE \"Home team score\" = '21.18 (144)' AND \"Away team score\" = '16.19 (115)'",
"SELECT pet_age FROM Pets WHERE pet_age > 10 AND pet_type = 'dog'",
"SELECT Mine_Name, CO2_Emissions FROM Emission_Statistics WHERE Year = 2020 GROUP BY CO2_Emissions ORDER BY SUM(CO2_Emissions) DESC LIMIT 1;",
"SELECT \"Established\" FROM table_1_16432543_3 WHERE \"Institution\" = 'University of Maryland'",
"SELECT model FROM car_makers WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86",
"SELECT AVG(date_hired) FROM Employee WHERE company_id = 1;",
"SELECT \"Nominated work\" FROM table_2_11308224_9 WHERE \"Result\" = 'won' AND \"Nominated work\" = 'Most Popular Star'",
"SELECT COUNT(DISTINCT `Departments`.department_id) FROM `Students` WHERE `ssn` = '1234 5678'",
"SELECT AVG(rating) FROM hotels WHERE ai_services = true AND country = 'USA';",
"SELECT \"Leading scorer\" FROM table_2_11961176_4 WHERE \"Home\" = 'grFranklin'",
"SELECT AVG(age) as average_age, MIN(age) as min_age, MAX(age) as max_age FROM \"singer\" WHERE \"Singer_ID\" = '3'",
"SELECT * FROM (SELECT center_name, SUM(total_waste_recycled FROM recycling_centers WHERE state = 'New York' GROUP BY center_name ORDER BY SUM(total_waste_recycled DESC LIMIT 5) t WHERE t.total_waste_recycled > 25000",
"SELECT \"Record\" FROM table_2_18951015_3 WHERE \"Event\" = '3000 m'",
"SELECT COUNT(DISTINCT `degree_summary_name`) FROM `Degree_Programs` WHERE `department_id` = 'degree_programs' AND `course_id` = 'degree_programs'",
"SELECT MAX(amount) FROM grants_faculty WHERE department = 'Arts and Humanities'",
"SELECT \"Score\" FROM table_1_24765815_1 WHERE \"Rank\" = '1st'",
"SELECT name FROM students WHERE student_id NOT IN (1, 2, 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, 2500)",
"SELECT country, AVG(refugees_helped) FROM disasters GROUP BY country;",
"SELECT \"Home team score\" FROM table_2_10806852_14 WHERE \"Crowd\" = '5,000' AND \"Venue\" = 'junction oval'",
"SELECT \"Package_Option\" FROM \"TV_series\" 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 m.name as manager_name, m.location, m.district, m.number_products as number_of_products FROM shop m WHERE m.number_of_products = (SELECT MAX(number_of_products FROM shop WHERE shop shop_id = 10000))",
"SELECT AVG(num_safety_incidents) FROM union_stats WHERE sector = 'services' AND num_members > 2000 GROUP BY sector;",
"SELECT \"Average\" FROM table_1_28798161_3 WHERE \"BBI\" = '4/39'",
"SELECT \"CountryCode\", \"Name\", \"Continent\", \"LifeExpectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"Average Life Expectancy\" as \"",
"SELECT continent, SUM(fan_id) FROM fan_demographics GROUP BY continent;",
"SELECT MIN(\"Year\") FROM table_1_1999350_1 WHERE \"Regular Season\" = '2nd, New England' AND \"Open Canada Cup\" = 'N/A'",
"SELECT \"tourney_date\" as \"year\", COUNT(\"tours\") as \"tours\" as \"match_count\" FROM \"matches\" WHERE \"tourney_date\" IS NOT NULL GROUP BY \"tours\";",
"SELECT MAX(eta) FROM Routes WHERE origin_city = 'City X' AND distance > 200;",
"SELECT \"Away team score\" FROM table_2_10808346_11 WHERE \"Home team score\" = '11' AND \"Venue\" = 'punt road oval'",
"SELECT \"Hometown\" FROM teacher WHERE \"Age\" = 'youngest'",
"SELECT AVG(age) FROM patients WHERE improvement IS NOT NULL;",
"SELECT \"Seats\" FROM table_2_11252_2 WHERE \"Election\" = '1961' AND \"Share of votes\" = '21.8%'",
"SELECT \"Song_Name\" FROM \"concert\" WHERE \"SongRelease_year\" > '1'",
"SELECT SUM(CASE WHEN type = 'Mexican' THEN revenue ELSE 0 END) FROM Restaurants WHERE type = 'Mexican';",
"SELECT \"Professional Partner\" FROM table_2_15988037_17 WHERE \"Season\" < '7' AND \"Average\" > '34.66' AND \"Rank\" < '10'",
"SELECT \"teacher\", \"Course\" FROM \"teacher\" WHERE \"Teacher_ID\" = 'kearsley'",
"SELECT location, SUM(participants) FROM Community_Development_Initiatives WHERE location = 'Rural Africa' GROUP BY location;",
"SELECT \"Season\" FROM table_2_1708648_1 WHERE \"Lead\" = 'Michael Goodfellow'",
"SELECT \"countryname\", \"continent\", \"countryid\" FROM \"car_makers\" WHERE \"Country\" IS NOT NULL GROUP BY \"countryname\";",
"SELECT name FROM destinations WHERE travel_advisory_level <= 3",
"SELECT \"Points\" FROM table_2_11021760_1 WHERE \"Place\" = '18'",
"SELECT \"Language\" as \"language\", \"Number_of_Tv_Channels\" as \"number_of_Tv_Channels\" FROM \"TV_series\" WHERE \"Channel\" > '1' GROUP BY \"Language\" ORDER BY \"Number_of_Tv_Channels\" DESC;",
"SELECT SUM(SalePrice) FROM MenuItems WHERE Category LIKE 'Vegetarian' OR Category LIKE 'Non-Vegetarian';",
"SELECT \"Home team score\" FROM table_2_1204658_14 WHERE \"Home team\" = '11.7 (73)'",
"SELECT `note` FROM death WHERE `note` LIKE 'East%'",
"SELECT project_count, SUM(project_count FROM ngos WHERE country = 'Yemen'",
"SELECT \"Unterfranken West\" FROM table_1_23224961_2 WHERE \"Oberfranken Ost\" = 'wacker marktredwitz'",
"SELECT pet_age FROM Pets(PetID) WHERE PetType = 'dog' AND PetAge > 0",
"SELECT MIN(revenue) FROM restaurants WHERE type = 'Ethiopian';",
"SELECT \"Famous for\" FROM table_2_14345690_7 WHERE \"Finished\" = '6th'",
"SELECT Template_TypeCode FROM RefTemplate_Types WHERE Template_TypeCode IS NOT NULL GROUP BY Template_TypeCode, Template_TypeDescription;",
"SELECT year, SUM(quantity) FROM erbium_production WHERE country = 'Brazil' GROUP BY year;",
"SELECT \"Callsign\" FROM table_1_17822401_1 WHERE \"Location\" = 'Cebu'",
"SELECT AVG(r.winner_rank) FROM (SELECT r.player_id, AVG(r.ranking_points) AS ranking_points FROM (SELECT r.player_id, max(r.ranking_points) AS ranking_points FROM (SELECT r.player_id, max(r.ranking_points) AS ranking_points FROM \"rankings\" WHERE country_code = 'USA' ORDER BY r.ranking_points DESC LIMIT 1' WHERE country_code = 'USA' AND country_code != 'USA-1' GROUP BY rplayer_id) r) r WHERE rrpointing_points IS NOT NULL) rpoints;",
"SELECT city, MAX(sales) FROM Concerts GROUP BY city ORDER BY sales DESC LIMIT 1;",
"SELECT \"Goals\" FROM table_2_17634290_8 WHERE \"Country\" = 'kansas' AND \"Transfer window\" = 'summer'",
"SELECT Template_TypeCode FROM RefTemplate_Types WHERE DocumentTypeCode IS NOT NULL;",
"SELECT Status, COUNT(*) FROM Well_Status WHERE Status = 'Active'",
"SELECT \"1993\" FROM table_2_166170_6 WHERE \"1990\" = \"1989\"",
"SELECT \"killed\" FROM \"battle\" WHERE \"killed\" > 0",
"SELECT name, location, years_of_experience FROM Farmers WHERE years_of_experience > 10",
"SELECT \"Team\" FROM table_1_27734577_13 WHERE \"High assists\" = 'josh smith (8)'",
"SELECT name FROM conductor WHERE name NOT LIKE 'USA%';",
"SELECT COUNT(*) FROM renewable_energy WHERE type = 'Wind Turbine' AND country = 'Germany' AND installation_year = 2020",
"SELECT \"Tues 25 Aug\" FROM table_1_23465864_5 WHERE \"Fri 28 Aug\" = '26' 04.60 86.814mph'",
"SELECT student_enrolment_id, student_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_enrolment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment_id, student_envelment",
"SELECT location, sum(num_beds) FROM hospitals WHERE num_beds > 0 GROUP BY location;",
"SELECT \"Share\" FROM table_1_11238597_4 WHERE \"Air Date\" = 'December 10, 2008'",
"SELECT distinct state, created FROM votes GROUP BY created;",
"SELECT country FROM military_alliances WHERE ally_country = 'United States';",
"SELECT \"Score\" FROM table_2_13711033_6 WHERE \"Attendance\" < '10,553'",
"SELECT COUNT(friend_id) FROM friend WHERE friend_id IN (1501, 1661) GROUP BY friend_id;",
"SELECT MAX(weight) FROM Packages JOIN Warehouses ON Packages.warehouse_id = Warehouses.id WHERE Warehouses.city = 'Mexico City'",
"SELECT \"College/junior/club team\" FROM table_2_1013129_8 WHERE \"NHL team\" = 'reference:'",
"SELECT \"id\" FROM \"TV_series\" WHERE \"Country\" IN ('Italy', 'United Kingdom', 'United States', 'Canada', 'Australia', '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', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', '",
"SELECT Department FROM Employees GROUP BY Department HAVING COUNT(DISTINCT ManagerID) > 1",
"SELECT \"Opponents\" FROM table_2_15167057_3 WHERE \"Partner\" = 'Pam Shriver' AND \"Score\" = '6-3, 6-3'",
"SELECT name, age, weight FROM `Dogs` WHERE `abandoned_yn` = '0'",
"SELECT DISTINCT destination FROM vessel_destinations WHERE destination LIKE ' %';",
"SELECT \"Player\" FROM table_2_16678064_9 WHERE \"Long\" > '28' AND \"Yards\" = '222'",
"SELECT \"Name\" FROM \"singer\" WHERE \"Net_Worth_Millions\" > \"Net_Worth_Millions\"",
"SELECT MAX(ticket_sales) FROM EventData WHERE city = 'Tokyo';",
"SELECT \"Deadline for completion\" FROM table_1_12078626_1 WHERE \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol\" = 'apple' AND \"Symbol",
"SELECT \"TV_series\" FROM \"Cartoon\" WHERE \"Channel\" = 'Ben Jones' AND \"18_49_Rating_Share\" > '0'",
"SELECT SUM(CASE WHEN conservation_status = 'Endangered' THEN 1 ELSE 0 END) FROM marine_species WHERE region = 'Arctic';",
"SELECT MAX(\"Population density per km\u00b2\") FROM table_1_26769_1 WHERE \"Capital \" = 'Quito'",
"SELECT \"tourney_id\" FROM \"matches\" WHERE \"tourney_date\" IS NOT NULL AND \"tourney_id\" = '2013-1-1' UNION ALL SELECT \"tourney_id\" FROM \"matches\" WHERE \"tourney_id\" = '2016-1-1'",
"SELECT Name, Type, AVG(AverageSpeed) FROM Vessels WHERE AverageSpeed > 19.5 GROUP BY Name, Type;",
"SELECT \"Nationality\" FROM table_1_10015132_16 WHERE \"School/Club Team\" = ' toronto'",
"SELECT AVG('GDP') FROM country WHERE 'CountryCode' = 'AFG' AND 'CountryCode' = 'NCA' AND 'GDP' IS NOT NULL GROUP BY 'CountryCode'",
"SELECT type, MAX(type) FROM cancer_data WHERE cases > 0 GROUP BY type ORDER BY MAX(type) DESC LIMIT 1;",
"SELECT \"Points for\" FROM table_2_12828723_1 WHERE \"Losing bonus\" = '255'",
"SELECT student_enrolment_id FROM students WHERE student_id = 1",
"SELECT * FROM government_representatives WHERE sponsored_bills = 0 ORDER BY id;",
"SELECT \"Tournament Winner\" FROM table_1_22849575_6 WHERE \"Tournament Winner\" = 'big sky conference'",
"SELECT \"Channel\" FROM \"TV_series\" WHERE \"Episode\" = 'A Love of a Lifetime'",
"SELECT route_id, SUM(fare) FROM fares GROUP BY route_id;",
"SELECT \"Place\" FROM table_2_17290235_1 WHERE \"Score\" = '75-71-72-70=288'",
"SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IN (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, 75, 76, 77, 78, 79, 80,",
"SELECT AVG(patients) FROM psychologists WHERE age >= 60 AND country = 'India' GROUP BY patient_id ORDER BY patient_id;",
"SELECT \"Attendance\" FROM table_2_11172634_1 WHERE \"Date\" = 'november 18, 1951'",
"SELECT \"tourney_date\" FROM \"matches\" WHERE \"tourney_id\" IS NOT NULL",
"SELECT individual_id, COUNT(*), MIN(age) FROM event_attendance WHERE event_year = 2021 GROUP BY individual_id, MIN(age);",
"SELECT \"PA\" FROM table_1_29565541_2 WHERE \"W\" = '6'",
"SELECT \"contestant_name\" FROM \"CONTESTANTS\" WHERE \"contestant_name\" LIKE 'Al%'",
"SELECT zip, MAX(water_consumption) FROM zip_water_usage WHERE water_consumption > MAX(water_consumption) GROUP BY zip ORDER BY max(water_consumption) DESC LIMIT 5",
"SELECT \"Date\" FROM table_2_16900662_3 WHERE \"Result\" = '16-0'",
"SELECT COUNT(Car_Name) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 8",
"SELECT DonorID, Name, TotalDonations FROM Donors GROUP BY DonorID, Name ORDER BY TotalDonations DESC LIMIT 3",
"SELECT \"Meet\" FROM table_2_16911951_4 WHERE \"Club\" = 'centro de natacon carabobo'",
"SELECT \"CountryCode\", \"Name\", \"SurfaceArea\", \"GDPPerCapita\" FROM \"countrylanguage\" WHERE \"CountryCode\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)",
"SELECT COUNT(*) FROM fairness_incidents WHERE incident_date >= '2022-08-15' AND incident_date <= '2022-09-15';",
"SELECT \"Week\" FROM table_2_11364413_1 WHERE \"Date\" = 'september 24, 2000'",
"SELECT 'AKO' AS airport_name FROM 'flights' WHERE 'AKI' = 'AKO'",
"SELECT Country, SUM(IncidentType) FROM CybersecurityIncidents WHERE Year >= 2018 GROUP BY Country;",
"SELECT \"Surface\" FROM table_2_16380141_1 WHERE \"Week\" = 'march 1'",
"SELECT \"contestant_name\" FROM \"CONTESTANTS\" WHERE \"contestant_name\" != 'Jessie Alloway'",
"SELECT COUNT(*) FROM community_health_centers WHERE location = 'urban';",
"SELECT \"Episode count\" FROM table_2_16581695_7 WHERE \"Season\" = 'Season Three' AND \"DVD title\" = 'Ben 10: Alien Force Volume 8'",
"SELECT \"flights\" FROM \"flights\" WHERE \"flights\".airline = 'UAL'",
"SELECT SUM(caseTypeCaseTypeCode, SUMCaseTypeCaseTypeCode, SUM(caseTypeCaseTypeCode * SUMCaseTypeCaseTypeCode * CASE WHEN fiscalYear = 2021 THEN SUMCaseTypeCaseTypeCode * SUMCaseTypeCaseTypeCode * ELSE 0 * CASE WHEN fiscalYear = 2021 THEN SUMCaseTypeCaseTypeCode * SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCaseTypeCode * ELSE SUMCaseTypeCase",
"SELECT \"D 44 \u221a\" FROM table_2_1177501_2 WHERE \"D 46 \u221a\" = 'r 26'",
"SELECT \"GNPOld\" FROM country WHERE \"CountryCode\" = 'AF' AND \"CountryCode\" = 'AFG' UNION SELECT \"GNPOld\" FROM country WHERE \"CountryCode\" = 'AF' AND \"CountryCode\" = 'AFR';",
"SELECT COUNT(PetitionID) FROM Petition WHERE StateSponsor = 'California' AND StateSponsor = 'Texas' AND Topic = 'Immigration Reform';",
"SELECT \"Home team\" FROM table_2_15625088_3 WHERE \"Tie no\" = '6'",
"SELECT pet_age FROM pets WHERE pet_age >= 18 AND pet_age < 25",
"SELECT position, AVG(Salary) AS avg_salary FROM Employees WHERE Position = 'Employee' GROUP BY position;",
"SELECT \"Method\" FROM table_2_125876_2 WHERE \"Record\" = '3-4'",
"SELECT \"Content\" FROM \"TV_series\" WHERE \"Channel\" = 'sky radio'",
"SELECT SUM(CASE WHEN type = 'Bridge' THEN 1 ELSE 0 END), SUM(CASE WHEN type = 'Tunnel' THEN 1 ELSE 0 END) FROM BridgeTunnel;",
"SELECT \"Name\" FROM table_2_18517754_1 WHERE \"Reserved for ( SC / ST /None)\" = '196' AND \"Constituency number\" = '196'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"CountryCode\" = 'NLD' AND \"Language\" = 'T' UNION SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"CountryCode\" = 'NLD'",
"SELECT article_language, AVG(article_title) FROM article_language INNER JOIN articles ON article_language = article_title WHERE article_language LIKE 'english%' GROUP BY article_language;",
"SELECT \"2013\" FROM table_2_1596425_2 WHERE \"2014\" = 'danielle button'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" = 'americana' AND \"Maker\" = 'American Motor Company'",
"SELECT Type, Area, AVG(readership) FROM crimes GROUP BY Type, Area;",
"SELECT \"Score\" FROM table_1_15780049_6 WHERE \"Date\" = 'January 11'",
"SELECT \"Hometown\" FROM \"course\" WHERE \"Teacher_ID\" > \"Teacher_ID\" GROUP BY \"Teacher_ID\" ORDER BY SUM(\"readership\") / \"Number of readings\" DESC LIMIT 100;",
"SELECT country_code FROM rd_expenditure WHERE country_code IN ('DE', 'JP') GROUP BY country_code ORDER BY amount DESC LIMIT 1000000000000000000000",
"SELECT \"Shadow Ridge\" FROM table_1_11340432_1 WHERE \"Shadow Ridge\" = 'Roberta Lockhart'",
"SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_id = 1000000000000000000 AND student_enrolment_id IS NOT NULL AND course_id = 2;",
"SELECT Source_Country, SUM(Sustainable) FROM Textile_Sources WHERE Sustainable = true GROUP BY Source_Country ORDER BY SUM(Sustainable) DESC LIMIT 3",
"SELECT \"Championship Game\" FROM table_2_10722146_6 WHERE \"Sweet Sixteen\" = '1' AND \"Championship Game\" = '1'",
"SELECT \"other_details\" FROM \"Transcript_Contents\" WHERE \"course_id\" = 'math'",
"SELECT mission_area, SUM(donation) FROM donations GROUP BY mission_area;",
"SELECT \"Home team score\" FROM table_2_10774891_5 WHERE \"Away team score\" = '9.14 (68)'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" = 'uk' GROUP BY \"car_makers\" ORDER BY \"car_makers\"",
"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_ID\" FROM \"stadium\" WHERE \"Stadium_ID\" IS NOT NULL;",
"SELECT MAX(altitude) FROM leo_satellites WHERE type = 'Communication';",
"SELECT \"Team\" FROM table_1_27312918_5 WHERE \"Game\" = 'May 18'",
"SELECT \"CountryCode\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '0' UNION ALL SELECT \"CountryCode\" FROM \"country\" WHERE \"CountryCode\" = '0'",
"SELECT AVG(eighty-four) FROM life_expectancy WHERE year = 2019;",
"SELECT \"Sales\" FROM table_2_12937449_3 WHERE \"Year\" < '1991'",
"SELECT name FROM friend WHERE student_id IN (1, 2, 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, 75, 76, 77, 78, 79, 80, ",
"SELECT title, SUM(streams) FROM songs WHERE genre = 'Hip-Hop' AND year = 2021 GROUP BY title ORDER BY SUM(streams) DESC LIMIT 3;",
"SELECT \"Performer\" FROM table_2_15696410_1 WHERE \"Rank\" = '1'",
"SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" = 'TV series' AND \"Country\" IN ('United Kingdom', 'United States', 'Canada', 'Australia', 'France', 'Germany', 'Netherlands', 'Spain', 'Sweden', 'Portugal', 'India', 'Netherlands', 'France', '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', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', 'Netherlands', '",
"SELECT COUNT(DISTINCT facility_id) FROM healthcare_facilities WHERE country = 'Mexico' AND has_ph pharmacy = TRUE AND country = 'Brazil'",
"SELECT \"CBS airdate\" FROM table_2_15201772_3 WHERE \"CBS airdate\" = '2005-05-20'",
"SELECT student_name FROM student_id WHERE grade > 5 AND friend_id IN (1661, 1934, 12, 1501, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12",
"SELECT name FROM founder WHERE gender = 'Female' AND funding = 'Series A';",
"SELECT \"2011 WC\" FROM table_1_30085411_1 WHERE \"Matches\" = '79'",
"SELECT COUNT(DOGS.dog_id) FROM Dogs WHERE DOGS Dogs.treatment_type_code IS NOT NULL;",
"SELECT DISTINCT acquired_by FROM acquisition WHERE acquired_by IS NOT NULL;",
"SELECT \"Vacate at-large\" FROM table_1_2417390_4 WHERE \"District\" = 'nebraska'",
"SELECT model_list.ModelName, MAX(model_list.Model) FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS Model FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS MODEL FROM (SELECT Model, MAX(Model) AS",
"SELECT location FROM cybersecurity_strategies WHERE date > '2020-01-01';",
"SELECT \"Stadium\" FROM table_2_10637415_10 WHERE \"City\" = 'Pirn'",
"SELECT charge_amount FROM \"Treatments\" WHERE treatment_type_code = 'VAC'",
"SELECT AVG(avgTemp) FROM marinefinfish WHERE country = 'Norway' AND month = 6;",
"SELECT \"Position\" FROM table_1_21795650_1 WHERE \"Races\" = '16'",
"SELECT \"grade\" FROM highschooler WHERE student_id = 1501",
"SELECT SUM(farmer_id) FROM Urban_Agricultation WHERE State IN ('California', 'New_York');",
"SELECT \"Home team score\" FROM table_2_10767641_17 WHERE \"Away team\" = 'collingwood'",
"SELECT name FROM friend WHERE friend_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20) GROUP BY name HAVING COUNT(*) >= 10;",
"SELECT artifact_type FROM artifacts WHERE artifact_type IN (SELECT artifact_type FROM artifacts WHERE artifact_type LIKE 'pottery%' AND region = 'Eastern Region') GROUP BY artifact_type ORDER BY COUNT(*) DESC LIMIT 3",
"SELECT \"Name\" FROM table_2_17200019_3 WHERE \"Moving to\" = 'korttrem' AND \"Moving to\" = 'korttrem'",
"SELECT MAX(Share) as Max_Share, MIN(Share) as MinShare FROM performance WHERE Type != 'Live final'",
"SELECT MIN(price) FROM Devices WHERE community = 'Minorly Underrepresented';",
"SELECT \"Years Active\" FROM table_1_272865_20 WHERE \"Asian Cup Played As A Captain\" = 'Iran 1976'",
"SELECT friend_id FROM friend WHERE student_id = 1501",
"SELECT name, energy_star_rating FROM appliances WHERE country = 'USA' ORDER BY energy_star_rating DESC LIMIT 3",
"SELECT \"Release date\" FROM table_2_18792950_5 WHERE \"Production Number\" = '1665' AND \"Director\" = 'robert mckimson'",
"SELECT name FROM Highschooler WHERE friend_id IS NOT NULL;",
"SELECT year, AVG(assessmentCount) FROM eia GROUP BY year;",
"SELECT MIN(\"Episode #\"\") FROM table_1_2501754_4",
"SELECT pet_age, AVG(pet_age) as age_weight FROM Has_Pet WHERE pet_age IS NOT NULL GROUP BY pet_age;",
"SELECT MAX(tweets) FROM users WHERE country = 'Germany' AND category = 'technology';",
"SELECT \"College/junior/club team\" FROM table_1_2886617_9 WHERE \"NHL team\" = 'dallas stars'",
"SELECT AVG(age) FROM ( 'Treatments' WHERE treatment_type_code = 'WALK' ) AS t WHERE 'treatment_type_description' = 'WALK'",
"SELECT 'start_date' as launch_date, 'end_date' as end_date, 'campaign' as campaign FROM advocacy WHERE launch_date >= '2021-01-01' AND end_date <= '2021-12-31' GROUP BY 'start_date', 'end_date', 'campaign' ORDER BY 'start_date', 'end_date', 'campaign' DESC;",
"SELECT \"Away team\" FROM table_2_10809368_2 WHERE \"Crowd\" > '14,000' AND \"Home team\" = '15.14 (104)'",
"SELECT COUNT(Courses.course_id) FROM \"Transcript_Contents\" WHERE \"student_enrolment_id\" IS NOT NULL GROUP BY \"Transcript_Contents\"",
"SELECT DISTINCT industry FROM startups WHERE founding_year < 2015",
"SELECT \"H/A/N\" FROM table_2_16946097_7 WHERE \"Record\" = '20-48'",
"SELECT max(weight) as max_weight, pet_type FROM (SELECT pet_type, MAX(weight) as weight FROM (SELECT pet_type, 'weight' as weight FROM (SELECT pet_type, pet_age as weight FROM Pets WHERE pet_age > 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT MIN(investment) FROM infrastructure_projects",
"SELECT \"Opponent\" FROM table_2_16351707_9 WHERE \"Rank\" = '1' AND \"Opponent\" = '124'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"Language\" = 'anguilla'",
"SELECT country, sum(production_quantity) as production FROM solar_energy GROUP BY country ORDER BY sum(production) DESC LIMIT 3;",
"SELECT \"Opponent\" FROM table_2_15100199_10 WHERE \"Surface\" = 'hard' AND \"Partner\" = 'maria elena camerin'",
"SELECT \"GDP\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"Language\" = 'en'",
"SELECT name, SUM(budget) FROM programs GROUP BY name ORDER BY SUM(budget) > 50;",
"SELECT \"End date\" FROM table_1_24057191_2 WHERE \"Episodes\" = '4.2'",
"SELECT \"Series_Name\" FROM \"TV_series\" WHERE \"Channel\" = '707'",
"SELECT SUM(COUNT(*)) FROM Artworks WHERE Period = 'Renaissance' AND Artworks.Singer = 'Female'",
"SELECT \"To par\" FROM table_2_16092658_5 WHERE \"Score\" = '67-68=135'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"PokerPlayer_ID\" IS NOT NULL",
"SELECT MortalityRate FROM Mortality WHERE MortalityRate = '150' AND Country = 'Mexico';",
"SELECT \"Venue\" FROM table_2_17338813_6 WHERE \"Result\" = '0-0'",
"SELECT '16' as age, '1998' as num_of_tickets, '16' as level_of_membership, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16' as age, '16'",
"SELECT material, AVG(CAST(Cycle_Rate AS INT)) as cycle_rate, year, AVG(Cycle_Rate) as cycle_rate FROM (SELECT material, cycle_rate, year, cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate * cycle_rate *",
"SELECT \"Venue\" FROM table_2_1686203_3 WHERE \"Date\" = '1 march 2006'",
"SELECT MAX(match_num FROM (SELECT \"tours\" FROM \"matches\" WHERE \"tourney_date\" IS NOT NULL) AS \"tours\";",
"SELECT type, AVG(depth FROM marine Life WHERE depth > 0 GROUP BY type;",
"SELECT \"Try bonus\" FROM table_2_17369472_2 WHERE \"Losing bonus\" = '12'",
"SELECT model FROM cars_data WHERE ModelId = 'Fiat' AND Weight < (SELECT Weight FROM cars_data WHERE ModelId = 'Fiat');",
"SELECT MIN(ride_duration) FROM ride_hailing WHERE ride_duration IS NOT NULL AND country = 'Singapore';",
"SELECT AVG(\"Scoring average\") FROM table_2_18186168_5 WHERE \"Top 10s\" = '4'",
"SELECT \"Document_Details\".Count FROM \"Ref_Template_Types\" WHERE \"Template_TypeCode\" = 'PP' AND \"Document_Details\".Text LIKE 'Summer%' + '%' + 's' + '1975-07-16'",
"SELECT COUNT(Country) FROM CountrySpacecraft",
"SELECT \"Round\" FROM table_2_1137696_3 WHERE \"Fastest Lap\" = 'damon hill' AND \"Pole Position\" = 'michael schumacher'",
"SELECT visitor.Name, visitor.Level_of_membership FROM visitor WHERE visitor.Level_of_membership > 4 ORDER BY visitor.Name",
"SELECT MIN(production_rate) FROM zinc_mines WHERE name = 'Rampura Agucha';",
"SELECT \"Swimsuit\" FROM table_1_12094300_1 WHERE \"State\" = 'District of Columbia'",
"SELECT flightNo FROM flights WHERE flightNo LIKE 'United Airlines%'",
"SELECT Country, SUM(GamingCommunity) as GlobalPlayers FROM Players GROUP BY Country;",
"SELECT \"First Pref votes\" FROM table_2_1635909_1 WHERE \"Leader\" = 'n/a' AND \"Party\" = 'independent'",
"SELECT \"Name\" FROM \"singer\" WHERE \"Singer_ID\" > 1 GROUP BY \"Name\" ORDER BY \"Net_Worth_Millions\" DESC, \"Net_Worth_Millions\" DESC LIMIT 1",
"SELECT production_count FROM production WHERE well_id = 'E05';",
"SELECT \"Role\" FROM table_2_11296015_4 WHERE \"Film\" = 'The Last Samurai'",
"SELECT \"Name\" FROM \"city\" WHERE \"Population\" BETWEEN '160000' AND '900000'",
"SELECT AVG(employee_count) FROM Labor_Statistics WHERE state = 'Illinois' AND year = 2019",
"SELECT \"1st Leg\" FROM table_2_17968233_1 WHERE \"Aggregate\" = '4-2'",
"SELECT \"Customer reviews\" FROM \"NewsReadership\" WHERE \"Document_Name\" = 'Customer reviews'",
"SELECT 'USA', SUM(amount) FROM DefenseBudget WHERE country = 'USA' GROUP BY country;",
"SELECT \"U.S. airdate\" FROM table_1_12294557_3 WHERE \"Canadian airdate\" = 'may 4, 2009'",
"SELECT \"tours\" FROM \"rankings\" WHERE \"tourney_date\" IS NOT NULL GROUP BY \"tours\";",
"SELECT DISTINCT service FROM department_services WHERE service_id = (SELECT MAX(service_id) FROM department_services WHERE service_id = 'Transportation' AND city = 'XYZ');",
"SELECT AVG(\"To par\") FROM table_2_18150723_5 WHERE \"Score\" = '78-67-73=218'",
"SELECT \"Viewers_m\" FROM \"Cartoon\" WHERE \"Hight_definition_TV\" = '16:9' AND \"Hight_definition_TV\" != '6.75' AND \"Hight_definitionTV\" != '6.75' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\" != '6.0' AND \"Hight_definitionTV\"",
"SELECT SUM(Revenue) FROM EsportsEvents WHERE Region = 'Asia' AND EventYear = 2022;",
"SELECT \"Collaboration\" FROM table_2_18649568_1 WHERE \"Status\" = 'incomplete'",
"SELECT \"Open_Year\" FROM \"visit\" WHERE \"Museum_ID\" = 'plaza museum' AND \"Name\" = 'Plaza Museum'",
"SELECT MIN(age) FROM Trees;",
"SELECT \"Conference Player of the Year\" FROM news_readership WHERE \"Tournament Winner\" = 'Florida, Kentucky, Georgia (East) (West)'",
"SELECT student_id, name, count(*) as friend_count FROM Highschooler WHERE student_id IN (1661, 1304, 1934, 12, 1501, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, ",
"SELECT MAX(production_capacity) FROM chemical_plants",
"SELECT \"Selection\" FROM news_readership WHERE \"Country\" = 'India' AND \"Players\" = 'ron barnett'",
"SELECT \"Package_Option\" FROM \"TV_series\" WHERE \"Channel\" = 'channel' AND \"Hight_definition_TV\" = 'channel' AND \"Hight_definitionTV\" = 'channel'",
"SELECT menu_category, AVG(revenue) * 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"138kg\" FROM table_2_18508174_2 WHERE \"World record\" = 'Olympic record' AND \"138kg\" = '167kg'",
"SELECT MAX(\"Earnings\") FROM \"people\" WHERE \"Earnings\" < 200000;",
"SELECT num_hotels - num_hotels FROM eco_hotel_count WHERE country = 'France' UNION SELECT num_hotels - num_hotels FROM eco_hotel_count WHERE country = 'UK' UNION SELECT num_hotels - num_hotels FROM eco_hotel_count WHERE country = 'Spain'",
"SELECT \"Score\" FROM table_2_1520559_3 WHERE \"Country\" = 'Japan'",
"SELECT m.name, m.location_district, m.number_products as largest_products_sold FROM shop m WHERE m.location = 'Finnair Stadium' ORDER BY m.number_products DESC, m.location, m.name;",
"SELECT SUM(liverpool_capacity.city) FROM landfill_capacity WHERE city IN ('City A', 'City B';)",
"SELECT \"Crowd\" FROM table_2_10809351_17 WHERE \"Home team\" = 'home team' AND \"Home team score\" = '6.11 (47)'",
"SELECT \"age\", \"Hometown\" FROM \"teacher\" WHERE \"Age\" = '1'",
"SELECT MAX(size) FROM properties WHERE city = 'Austin';",
"SELECT \"Bronze\" FROM table_2_11389949_1 WHERE \"Gold\" + \"Silver\" < \"Gold\" + \"Bronze\" AND \"Nation\" = 'Japan'",
"SELECT \"vote_id\" FROM `VOTES` WHERE `state` = 'NY' OR `vote_id` IS NOT NULL OR `contestant_name` LIKE '1%' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1%'' OR `contestant_name` LIKE '1",
"SELECT Disability_Type, COUNT(Distanceing_Type) FROM Disability_Accommodations WHERE Accommodation_Type = 'Extended Time' GROUP BY Disability_Type;",
"SELECT \"Performer\" FROM table_2_15696410_1 WHERE \"Points\" = '57'",
"SELECT 'date_of_birth' FROM 'Dogs' WHERE 'date_of_treatment' IS NULL;",
"SELECT name, MAX(bias_score) FROM CreativeAIs WHERE bias_score IS NOT NULL GROUP BY name;",
"SELECT \"Record\" FROM table_2_14290390_6 WHERE \"Record\" = '54-69'",
"SELECT COUNT(*) FROM conductor",
"SELECT MAX(pressure_level) FROM pollution_monitoring_atlantic WHERE location = 'Atlantic Ocean';",
"SELECT \"Total\" FROM table_1_19744915_3 WHERE \"Couple\" = '14.5'",
"SELECT charge_type, charge_amount FROM `treatment_types` WHERE `treatment_type_description` IS NOT NULL",
"SELECT region, SUM(revenue) FROM hotel_revenue WHERE region IN ('Region 1', 'Region 2');",
"SELECT \"Builder\" FROM table_2_17477462_3 WHERE \"Built\" = '1920'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"People_ID\" IN (1, 2, 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, 75, 76, 77, 78, 7",
"SELECT State, SUM(MentalHealth) FROM Hospitals WHERE MentalHealth = TRUE GROUP BY State;",
"SELECT \"Sprint Points\" FROM news_readership WHERE \"Rank\" = '19' AND \"Extra Laps\" = '0'",
"SELECT \"ContinentalId\", \"Continuation\", \"CountryName\" FROM \"car_makers\" WHERE \"Country\" IS NOT NULL GROUP BY \"CountryName\" ORDER BY \"CountryName\"",
"SELECT AVG(enumber) AS avg_enrollment, AVG(enumber) FROM (SELECT state, AVG(enumber) AS state FROM public_schools WHERE state = 'California' GROUP BY state) AS subquery WHERE state = 'California';",
"SELECT \"Score\" FROM table_2_18336411_4 WHERE \"Record\" = '4-1'",
"SELECT pet_age, weight FROM Has_Pet WHERE pet_age > 1",
"SELECT AVG(production_budget) as avg_budget, release_year FROM movies WHERE genre = 'Action' AND release_year BETWEEN 2010 and 2020;",
"SELECT \"Claimant\" FROM table_2_1594415_2 WHERE \"Highest point\" = '200'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" = 'russia'",
"SELECT MIN(team_size FROM disaster_response_teams;",
"SELECT \"2013 Profit (mil. USD ) \" + \"1000\" FROM table_1_23950611_2 WHERE \"2013 Rank (oil companies)\" = '3'",
"SELECT 'United Airlines' FROM news_readership WHERE 'country' = 'United States' AND 'readership' < '200'",
"SELECT AVG(yield) FROM crops WHERE year = 2021 AND name = 'Crops' AND name LIKE 'Crops%'",
"SELECT \"Quotient\" FROM table_2_15124959_1 WHERE \"Municipality\" = 'Karelia' AND \"Votes\" = '27,391'",
"SELECT \"Song_Name\" FROM \"concert\" WHERE \"Age\" > \"Average\"",
"SELECT category, SUM(CASE WHEN category IN (1, 2, 3, 4, 5) THEN 1 ELSE 0 END) as num_artworks FROM Artworks GROUP BY category ORDER BY num_artworks DESC;",
"SELECT \"District\" FROM table_1_2668378_13 WHERE \"Result\" = 'win' AND \"First elected\" = 'william hoge'",
"SELECT student_id FROM friend WHERE friend_id IN (1911, 1247, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12",
"SELECT AVG(temperature) FROM field_temperatures WHERE temperature > 25 AND reading_date = '2021-06-01';",
"SELECT SUM(\"Points\") FROM table_2_11415745_1 WHERE \"Draw\" < '5' AND \"Song\" = 'ne izdajte me'",
"SELECT MAX(\"stadium\") FROM concert",
"SELECT explainable.ai, MAX(explainable.ai) FROM Financial_Services WHERE explainable.ai IS NOT NULL GROUP BY explainable.ai ORDER BY explainable.ai DESC LIMIT 5",
"SELECT \"Season\" FROM table_1_24596664_1 WHERE \"Position\" = '18th'",
"SELECT \"singer\" FROM \"stadium\" WHERE \"stadium_ID\" != '10' AND \"singer\" != '1'",
"SELECT AVG(amount / round_number FROM funding_records JOIN companies JOIN companies_founded_by ON companies.company_id = companies_founded_by.company_id WHERE companies.company_name = 'Fintech40' AND companies_founded_by.founder_age > 40;",
"SELECT \"Winner\" FROM news_readership WHERE \"Winner\" = 'Hajduk Split (3)'",
"SELECT \"stadium_ID\", \"Name\", \"Capacity\" FROM \"stadium\" WHERE \"Stadium_ID\" = '101'",
"SELECT sector, EXTRACT(YEAR FROM expiration_date) FROM agricultureCb_expirations WHERE sector = 'agriculture'",
"SELECT \"Place\" FROM table_2_17231302_7 WHERE \"Country\" = 'United States'",
"SELECT student_id, grade FROM Highschooler WHERE student_id IN (1661, 1641, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12",
"SELECT SUM(quantity FROM resource_extraction WHERE extractor_gender = 'Male' AND extractor_race = 'Caucasian' OR extractorgender = 'Male' AND extractorrace = 'Caucasian' OR extractorgender = 'Caucasian' OR extractorrace = 'African American' OR extractorgender = 'African American' OR extractorgender = 'Hispanic' OR extractorrace = 'Caucasian' OR extractorgender = 'Caucasian' OR extractorrace = 'African American' OR extractorgender = 'African American' OR extractorgender = 'Hispanic' OR extractorrace = 'African American' OR extractorgender = 'African American' OR extractorage = 'Caucasian'');",
"SELECT \"Record\" FROM table_2_13023925_2 WHERE \"Date\" = 'January 2, 1983'",
"SELECT \"Documents\" FROM \"news_readership\" WHERE \"Template_TypeCode\" = 'PPT'",
"SELECT SUM(g.amount) FROM research_grants g INNER JOIN departments.department_id AS id ON g.department_id = id.id WHERE g.id IN (1, 2, 3);",
"SELECT \"Host\" FROM table_2_15389655_1 WHERE \"Premiere\" = 'november 10, 2007'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" = 'AFG' AND \"Population\" > '1278'",
"SELECT SUM(quantity FROM recycled_polyester WHERE year = 2020 GROUP BY brand;",
"SELECT \"Record\" FROM table_1_24464253_1 WHERE \"Game\" = 'first game'",
"SELECT \"year\" FROM \"car_makers\" WHERE \"Maker\" = 'Fiat' AND \"Maker\" > '1970' AND \"Maker\" < '1980'",
"SELECT SUM(number_of_tourists) FROM tourism WHERE category = 'Historical'",
"SELECT \"City of License\" FROM table_2_12525402_1 WHERE \"Frequency\" = '103.5 mhz'",
"SELECT country, \"GovernmentForm\" as \"CountryCode\", \"AverageLifeExpectancy\" as \"AverageLifeEng\", \"CountryCode\" as \"CountryCode\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"AverageLifeEng\" > '72' UNION ALL SELECT country, \"GovernmentForm\" as \"CountryCode\", \"AverageLifeEng\" as \"AverageLifeEng\" FROM country WHERE \"CountryCode\" = 'AFG' UNION ALL SELECT country, \"GovernmentForm\" as \"CountryCode\", \"AverageLifeEng\" as \"AverageLifeEng\" FROM country WHERE \"AverageLifeEng\" > '72'",
"SELECT title, AVG(date) FROM national_security WHERE date >= '2018-11-16' AND date <= '2022-11-16' GROUP BY title ORDER BY title",
"SELECT \"Date of vacancy\" FROM table_1_22640051_3 WHERE \"Manner of departure\" = 'manuel pellegrini'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"People_ID\" NOT IN ('Aleksey Ostapenko', 'Roman Bragin', 'Yevgeni Sivozhelez', 'Sergey Grankin', 'Maksim Botin', 'Yevgeny Zvinin', 'Felix Zvinin', 'Felix Kuznetsov', 'Felix Zvinin', 'Felix Kuznetsov', 'Felix Grankin', 'Felix Botin', 'Felix Kuznetsov', 'Felix Zvinin', 'Felix Grunin', 'Felix Kuznetsov', 'Felix Botin', 'Felix Kuznetsov', 'Felix Grunin', 'Felix Zvinin', 'Felix Grin', 'Felix Kuznetsov', 'Felix Botin', 'Felix Grin', 'Felix Zvinin', 'Felix Grin', 'Felix Kuznetsov', 'Felix Botin', 'Felix Grin', 'Felix Zvinin', 'Felix Grin', 'Felix Kuznetsov', 'Felix Botin', 'Felix Grin', 'Felix Kuznetsov', 'Felix Grin', 'Felix Zvinin', 'Felix Grin', 'Felix Kuznetsov', 'Felix Botin', 'Felix Grin', 'Felix Kuznetsov', 'Felix Grin', '",
"SELECT mission_name, SUM(cost) FROM mission_summary WHERE mission_type = 'space mission' GROUP BY mission_name;",
"SELECT \"Incumbent\" FROM table_1_2668336_19 WHERE \"First elected\" = '1816' AND \"Result\" = '1814'",
"SELECT Document_ID FROM Documents WHERE Document_Details IS NOT NULL GROUP BY Document_Details;",
"SELECT MAX(construction_cost) FROM infrastructure_projects WHERE location = 'Germany';",
"SELECT \"Tournament\" FROM table_2_13900387_2 WHERE \"Score\" = '6\u20133, 7\u20136'",
"SELECT \"Global\", \"CountryCode\", \"Continent\", \"Population\", \"AverageLifeYear\", \"AverageLifeYear\" FROM \"country\" WHERE \"CountryCode\" = 'afg' INTERSECT SELECT \"CountryCode\", \"CountryCode\", \"Population\", \"AverageLifeYear\", \"AverageLifeYear\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'afg'",
"SELECT AVG(carbonfootprint) FROM sustainability_metrics WHERE product_id = 1;",
"SELECT \"School/Club Team\" FROM table_2_10015132_4 WHERE \"Years in Toronto\" = '2012'",
"SELECT COUNT(Car_Name) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,",
"SELECT City, Revenue FROM Concerts GROUP BY City ORDER BY Revenue DESC, City;",
"SELECT MAX(\"2011 population\") FROM table_1_282413_3 WHERE \"2011 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1 people per 1",
"SELECT \"GPE\", \"GND\", \"GPA\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'GPE' UNION ALL SELECT \"CountryCode\", \"GPE\", \"GPA\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'GND' UNION ALL SELECT \"CountryCode\", \"GND\", \"GPA\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'GPE'",
"SELECT MIN(production_rate) FROM wells WHERE region = 'Mediterranean Sea' INTERSECT SELECT MIN(production_rate) FROM wells WHERE region = 'Black Sea';",
"SELECT \"Power Capacity (GW)\" FROM table_1_11456251_5 WHERE \"Power Source\" = 'India'",
"SELECT Template_Type_Code FROM Templates WHERE Template_TypeCode IN ('PP', 'PPT');",
"SELECT COUNT(*) FROM farms WHERE country = 'USA' AND organic = TRUE",
"SELECT \"Total\" FROM table_2_18153365_1 WHERE \"Finish\" = 't59'",
"SELECT pet_age FROM Pets(PetID) WHERE PetType = 'dog' AND pet_age >= 1",
"SELECT COUNT(w.id) FROM workers w WHERE w.factory_id = 1 AND w.factory_id = 2;",
"SELECT \"perfect stem\" FROM table_2_12784134_24 WHERE \"Future stem\" = 'emango'",
"SELECT name FROM \"singer\" WHERE \"Net_Worth_Millions\" > 0 ORDER BY \"Net_Worth_Millions\"",
"SELECT AVG(fare) FROM trips JOIN trips id ON id.id = trips.id WHERE id.id = 1 AND id.type = 'Standard' AND id.fare = '2.50' UNION ALL SELECT 'Average' FROM trips JOIN trips id ON id.id = trips.id AND id.id = 1 AND id.type = 'Wheelchair Accessible' AND id.fare = '2.00';",
"SELECT \"Position\" FROM table_2_13874304_2 WHERE \"Level\" = '3' AND \"Position\" = '1'",
"SELECT \"car_makers\", \"model_list\" FROM \"car_makers\" WHERE \"car_makers\" IS NOT NULL UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"car_makers\", \"model_list\" FROM \"car_makers\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"car_names\" UNION SELECT \"model_list\" FROM \"car_names\" UNION SELECT \"model_list\" FROM \"car_makers\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"car_makers\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"car_makers\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\" UNION SELECT \"model_list\" FROM \"model_list\"",
"SELECT SUM(HireYear) OVER (ORDER BY HireYear) as Total_Hired, HireYear, Department, EmployeeName, HireYear, Total_Hired FROM Hiring GROUP BY Department, EmployeeName, HireYear, Department, EmployeeName, HireYear;",
"SELECT \"To par\" FROM table_2_12475284_4 WHERE \"Country\" = 'United States' AND \"Score\" = '3'",
"SELECT \"Ref_Template_Types\", \"DocumentID\", \"DocumentName\" FROM \"Ref_Template_Types\" WHERE \"DocumentName\" LIKE 'korea' ORDER BY \"DocumentName\" DESC LIMIT 1",
"SELECT country, percentage_fully_vaccinated FROM covid_vaccinations WHERE country IN ('Australia', 'Argentina');",
"SELECT \"% of annual production\" FROM table_1_11456251_5 WHERE \"Power Capacity (GW)\" = '4048'",
"SELECT city, COUNT(employee_id) FROM employee WHERE country IN ('India', 'Argentina', 'Finnland', 'Kupeha', 'Kuopio', 'Kuver', 'Kuopis', 'Kuveri', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuvera', 'Kuver",
"SELECT event, SUM(quantity * SUM(price, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20) as revenue FROM revenue GROUP BY event, SUM(quantity * SUM(price, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20) GROUP BY event, SUM(quantity * SUM(price, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20) GROUP BY event, SUM(quantity * SUM(price, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ",
"SELECT \"Nationality\" FROM table_2_13821868_1 WHERE \"Pick\" = '116'",
"SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" != 'ketchup'",
"SELECT SUM(violations) FROM traffic_violations WHERE year = 2019 AND city IN ('San Francisco', 'Los Angeles');",
"SELECT \"Points\" FROM table_2_17633162_2 WHERE \"Draw\" = '5'",
"SELECT \"Maker\" FROM cars_data WHERE \"Year\" = 1970",
"SELECT SUM(status) FROM disaster_response WHERE status = 'Completed' AND region = 'Asia';",
"SELECT \"Position\" FROM table_2_16772687_3 WHERE \"Player\" = 'drew barrett'",
"SELECT pet_age FROM Has_Pet WHERE pet_age > 0",
"SELECT AVG(billing_amount) FROM cases WHERE case_id IN (1, 2) AND attorney_id = (SELECT attorney_id FROM cases WHERE case_id IN (1, 2))",
"SELECT \"Nationality\" FROM table_2_14290517_14 WHERE \"Round\" = '1'",
"SELECT \"flights\" FROM news_readership WHERE country = 'USA' GROUP BY \"flights\"",
"SELECT MIN(billing_amount) FROM cases WHERE region = 'Northern';",
"SELECT \"Home team score\" FROM table_1_16388478_2 WHERE \"Crowd\" = '13814' AND \"Home team\" = 'kangaroors'",
"SELECT \"Paragraphs\" FROM \"Documents\" WHERE \"Document_Name\" = 'Summer Show' AND \"Document_Details\" = '1'",
"SELECT COUNT(DISTINCT garment_category) FROM circular_economy WHERE garment_category IS NOT NULL;",
"SELECT \"Home team score\" FROM table_2_10784349_17 WHERE \"Crowd\" > '18,000' AND \"Venue\" = 'victoria park'",
"SELECT Template_TypeDescription, \"1\", \"Template_TypeDescription\" FROM RefTemplate_Types WHERE Template_TypeCode IS NOT NULL GROUP BY Template_TypeCode, \"1\" ORDER BY \"1\" + \"1\" DESC, \"1\" + \"1\" ASC LIMIT 1",
"SELECT AVG(Price) FROM Menu WHERE Item = 'Vegetable Lasagna' AND Vegan = TRUE;",
"SELECT \"College\" FROM table_1_28059992_2 WHERE \"Position\" = 'dl'",
"SELECT \"stadium_ID\" FROM \"stadium\" WHERE \"Stadium_ID\" = '10'",
"SELECT AVG(player_id) as avg_age, SUM(player_id) as player_id FROM player_games WHERE type = 'VR' AND player_id IN (SELECT player_id FROM player_games WHERE type = 'Non-VR' AND player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM player_games WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE player_id IN (SELECT player_id FROM playergames WHERE",
"SELECT \"Elected\" FROM table_1_224672_2 WHERE \"Term ended\" = 'January 3, 2001'",
"SELECT cost_of_treatment FROM Treatment_Types WHERE treatment_type_code = 'WALK'",
"SELECT AVG(Arrivals - Sum(Arrivals)) FROM ArrivalsByRegion WHERE Year = 2018 AND Region = 'Oceania';",
"SELECT \"Avg. Finish\" FROM table_1_2190919_3 WHERE \"Avg. Finish\" = '29.0'",
"SELECT name FROM employee WHERE name LIKE '1%'",
"SELECT SUM(salary) FROM technology_unions WHERE salary > 80000;",
"SELECT \"Record\" FROM table_1_27539535_7 WHERE \"February\" = '1'",
"SELECT AVG(hp) FROM (SELECT \"Model\" FROM cars_data WHERE \"Year\" < 1980 GROUP BY \"Model\" ORDER BY \"Horsepower\" DESC) AS \"model_list\" WHERE \"Horsepower\" IS NOT NULL;",
"SELECT MIN(budget) FROM (SELECT type, MIN(budget) as budget FROM AccommodationTypes WHERE budget >= 10000.00 AND budget < 20000.00) as t) where t.budget = 0",
"SELECT \"Points\" FROM table_2_1218394_1 WHERE \"Tyres\" = 'gc37-01 v10' GROUP BY \"Points\" ORDER BY \"Points\" MIN(\"Points\") DESC LIMIT 1;",
"SELECT student_id, friend_id, student_id, friend_id, student_id, friend_id, student_id, friend_id, student_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend",
"SELECT number_of_employees FROM if not exists employment WHERE id = 1",
"SELECT \"ISLAND\" FROM table_2_1647218_1 WHERE \"CITY / TOWN\" = 'esperadinha'",
"SELECT professional_id, last_name, cell_number, last_name as name, last_name as full_name, row_number() OVER (ORDER BY row_number() DESC) as row_number FROM `Dogs`.treatment_type_description WHERE `treatment_type_code` = 'VAC' AND `treatment_type_description` = 'Vaccination' -- his or her id, last name and cell number, last name as name, last name as full name, row number, row number)",
"SELECT user_id, age, gender, COUNT(post_id) AS post_count FROM users JOIN posts ON users.user_id = posts.user_id WHERE posts.post_type = 'Text' GROUP BY user_id, age, gender;",
"SELECT \"Spokesperson\" FROM table_1_1992924_3 WHERE \"Year\" = '2004'",
"SELECT \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL AND \"Orchestra\" = 'Kirov'",
"SELECT product_id FROM product_ingredients WHERE ingredient_id NOT IN (1, 2, 3, 5);",
"SELECT MIN(\"Wins\") FROM table_1_19864214_3 WHERE \"Year\" = '1986'",
"SELECT \"Airline, 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 \"people\" FROM \"people\" WHERE \"people\" IS NOT NULL GROUP BY \"people\";",
"SELECT AVG(word_count) FROM news_articles WHERE reporter_id IN (1, 2, 3) GROUP BY reporter_id;",
"SELECT \"2014 RS:X \" FROM table_2_13076941_1 WHERE \"2007 Cascais \" = \"2014 \" \" \"",
"SELECT \"Employee_ID\", \"Name\", \"Age\", \"City\" FROM \"hiring\" WHERE \"Manager_name\" IS NOT NULL",
"SELECT AVG(price) FROM NailPolishSales WHERE category = 'Eco-Friendly' AND country = 'France'",
"SELECT \"Grid\" FROM table_2_16284301_2 WHERE \"Laps\" = '18' AND \"Laps\" > '1'",
"SELECT \"GNPOld\", \"GNP\", \"GNP\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"Language\" = 't' UNION ALL SELECT \"GNPOld\", \"GNP\", \"GNP\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' UNION ALL \"GNPOld\", \"GNP\", \"GNP\" FROM countrylanguage WHERE \"CountryCode\" = '1' UNION ALL \"GNPOld\", \"GNP\", \"GNP\" FROM countrylanguage WHERE \"CountryCode\" = '1'",
"SELECT AVG(DonationAmount) FROM Donations WHERE DonorID IN (1, 2, 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, 75, 76, 77, 78, 79",
"SELECT \"Record\" FROM table_2_17371427_6 WHERE \"Date\" = 'March 1'",
"SELECT name FROM Highschooler WHERE grade > 5 AND friend_id IN (1661, 1934)",
"SELECT MAX(home_runs) FROM baseball_stats WHERE name = 'Aaron Judge';",
"SELECT \"Nationality\" FROM table_2_12014051_2 WHERE \"School\" = 'United States' AND \"Pick\" = '415'",
"SELECT country FROM \"car_makers\" WHERE \"Country\" IS NULL",
"SELECT COUNT(*) FROM restaurants WHERE sustainable_sourcing = TRUE",
"SELECT \"Literal meaning\" FROM table_2_16162581_1 WHERE \"Simplified characters\" = ' \u5fc3 Virginia'",
"SELECT \"GPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'af' UNION ALL SELECT \"GPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'af'",
"SELECT name FROM Desserts WHERE is_dairy_free = TRUE AND country = 'France';",
"SELECT \"Reference\" FROM table_2_11664498_20 WHERE \"Strain\" = 'msb8'",
"SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" IS NOT NULL GROUP BY \"tourney_id\" ORDER BY \"tally\" DESC LIMIT 1",
"SELECT language, format, SUM(views) FROM open_education_resources WHERE views > 0 GROUP BY language, format ORDER BY SUM(views) DESC;",
"SELECT SUM(\"Points\") FROM table_2_1219767_1 WHERE \"Chassis\" = 'Ligier JS11/15'",
"SELECT \"Name\" FROM \"teacher\" WHERE \"Name\" = 'John Deloor'",
"SELECT city, sum(policy_policies FROM inclusive_housing GROUP BY city;",
"SELECT \"Quarterback\" FROM table_1_14389782_2 WHERE \"Winning Pct.\" = '792'",
"SELECT email_address FROM `Dogs`.email_address WHERE `state` = 'Hawaii' UNION SELECT email_address FROM `Dogs`.email_address WHERE `state` = 'Wisconsin'",
"SELECT MAX(quantity) FROM Yttrium_Sales WHERE year >= 2021 GROUP BY country;",
"SELECT \"Game\" FROM table_2_17342230_5 WHERE \"Date\" = 'April 23' AND \"Road Team\" = 'Boston'",
"SELECT shop_name, shop_location, shop_district, shop_number_products, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_managers, shop_man",
"SELECT * FROM menu WHERE Restaurant = 'Sustainable Seafood Restaurant';",
"SELECT \"Decision\" FROM table_2_11766617_8 WHERE \"Country\" = 'India' AND \"Visitor\" = 'Carolina'",
"SELECT zip_postcode FROM Semesters WHERE semester_id = 2",
"SELECT success_rate FROM crispl WHERE gene_name = 'XYZ';",
"SELECT \"Directed by\" FROM table_1_13273629_2 WHERE \"U.S. viewers (millions)\" = '15.08' AND \"Directed by\" = 'Carey Meyer'",
"SELECT Template_Type_Code, Template_TypeDescription, COUNT(Documents.DocumentID) FROM Document_Types WHERE Document_Types_Typable = 'PPT' GROUP BY Template_TypeCode, TemplateTypeDescription;",
"SELECT AVG(age) FROM players WHERE multiplayer = true",
"SELECT \"Gothic Letter\" FROM table_2_18789453_2 WHERE \"Proto-Germanic\" = 'b'",
"SELECT \"other_details\" FROM \"Transcript_Contents\" WHERE \"course_id\" = '2' AND \"section_id\" IS NOT NULL;",
"SELECT MAX(depth, phylum, MAXDepth FROM marine_species WHERE phylum = 'Chordata' GROUP BY phylum, MAXDepth;",
"SELECT \"Streak\" FROM table_2_18289217_7 WHERE \"Location/Attendance\" = ' staples center' AND \"Score\" = ' 67\u201389'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"People_ID\" IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83,",
"SELECT MAX(CO2EmissionsReduction) as MaxCO2Emissions, MAX(CoEmissionsReduction) as MaxEmissionsReduction FROM HotelReadings GROUP BY HotelID, HotelName, Continent;",
"SELECT \"Unemployment Rate\" FROM table_1_22815568_7 WHERE \"Status\" = 'transitional' AND \"County\" = 'alexander'",
"SELECT \"Conductor_ID\" as \"Orchestra_ID\", \"Orchestra_ID\" as \"Conductor_ID\", \"Orchestra\" as \"Orchestra_ID\", \"Orchestra\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as \"Orchestra_ID\" as",
"SELECT team_name, AVG(1200 - 1100) OVER (SELECT 0 as games_played from baseball_teams where team_name = 'Yankees' order by games_played is not null) as avg_streetsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdomsdoms",
"SELECT \"English Transliteration\" FROM table_2_1740431_3 WHERE \"Tamil Months\" = 'varsha';",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" = 'russia' UNION ALL SELECT \"model_list\" FROM \"car_makers\" WHERE \"Country\" = 'russia'",
"SELECT country, SUM(num_incidents) FROM cybersecurity_incidents GROUP BY country;",
"SELECT \"Date\" FROM table_2_14728848_2 WHERE \"City / State\" = 'sandown'",
"SELECT id, name FROM (SELECT id, name, sum(casual_killed) asCasualKilled, sum_killed, sum_lives_killed, sum_killed, sum_lives_lived, sum_killed, sum_lives_lived, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_lives_killed, sum_killed, sum_l",
"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 \"Lunar lander\" = 'apollo 11'",
"SELECT \"Template_Type_Description\" FROM RefTemplate_Types WHERE \"Template_TypeCode\" = 'PPT'",
"SELECT region_name, min_ocean_ph, max_ocean_ph FROM marine_region WHERE min_ocean_ph > '0' AND max_ocean_ph < '10' GROUP BY region_name;",
"SELECT \"Head Coach\" FROM table_2_11365528_2 WHERE \"Location\" = 'Mudgeeraba'",
"SELECT pet_age FROM Pets(PetID) WHERE pet_age > 10",
"SELECT SUM(weight FROM parcels WHERE shipment_date >= '2022-03-01' AND destination_airport = 'FRA';",
"SELECT \"Frequency\" FROM table_1_10333757_1 WHERE \"Timeslot\" = 'WEGP'",
"SELECT \"StuID\" FROM \"Student\" WHERE \"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 (\n SELECT breed_type, size_type FROM \"Treatments\" WHERE dog_id IN (14, 17, 22)) AS t WHERE size_type IS NOT NULL\n UNION ALL\n SELECT size_type, breed_type FROM \"Treatments\" WHERE dog_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22) OR dog_id IN (1, 2, 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",
"SELECT brand FROM makeupRatings WHERE rating >= 4 GROUP BY brand HAVING rating >= 4",
"SELECT \"Country\" FROM table_2_16193070_1 WHERE \"Lifespan\" = '1972\u2013' AND \"Country\" = 'Arjun Atwal'",
"SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL ORDER BY \"Year_of_Founded\" DESC;",
"SELECT AVG(investment_amount) FROM climate_finance_projects WHERE project_type = 'climate finance' AND region = 'East Asia' AND investment_year BETWEEN '2017-01-01' AND '2021-12-31' GROUP BY project_id;",
"SELECT \"Apparatus\" FROM table_2_18066166_1 WHERE \"Rank-Final\" > 6 AND \"Competition Description\" = 'u.s. championships'",
"SELECT AVG(1.00 * 16) FROM `museum` WHERE `Museum_ID` = 'RiverPark Museum' GROUP BY `Museum_ID` HAVING `Museum_ID` < '2009.00';",
"SELECT SUM(contract_value) FROM ContractData WHERE contract_value > 0 AND contract_value < 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Report\" FROM table_1_1140114_5 WHERE \"Winning driver\" = 'Paul Thiel'",
"SELECT \"Money_Rank\" FROM \"people\" WHERE \"Earnings\" > '100000' AND \"Earnings' \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"Earnings'\" \" \" \"",
"SELECT dish_type, MAX(sales) FROM menu GROUP BY dish_type;",
"SELECT \"Founded\" FROM table_1_2076522_2 WHERE \"Year\" = '2006'",
"SELECT email_address, cell_number, last_name, last_name as name, address as street, city, state, zip_code, country, first_name, last_name as full_name, address as address, last_name as full_name from `Dogs` WHERE `email_address` IS NOT NULL",
"SELECT AVG(rural_hospitals) FROM (SELECT rural, AVG(num_hospitals) AS avg_hospitals FROM hospitals WHERE rural THEN 1 GROUP BY rural) AS rural_hospitals;",
"SELECT \"Nominating Festival\" FROM table_2_12152327_1 WHERE \"Country\" = 'Russia'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Citizenship\" = 'Chile'",
"SELECT event_name, MAX(attendee_count) FROM Events GROUP BY event_name;",
"SELECT \"Tries\" FROM table_2_11327266_9 WHERE \"Apps\" = '1' AND \"Club\" = 'Munster'",
"SELECT \"Series_Name\", \"Content\" FROM \"TV_Channel\" WHERE \"Channel\" = '1' UNION ALL SELECT \"Series_Name\", \"Content\" FROM \"TV_series\" WHERE \"Channel\" = '1'",
"SELECT name FROM startup WHERE funding = 'Seed' INTERSECT SELECT name FROM startup WHERE funding = 'Series A';",
"SELECT SUM(\"Translation\") FROM table_2_1187808_1 WHERE \"Recorded\" = 'brussels'",
"SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IN (200002, 200003, 200004, 200005, 200006, 200007, 200008, 200009, 200010, 200011, 200012, 200013, 200014, 200015, 200016, 200017, 200018, 200019, 200020, 200021, 200022, 200023, 200024, 200025, 200026, 200027, 200028, 200029, 200030, 200031, 200032, 200033, 200034, 200035, 200036, 200037, 200038, 200039, ",
"SELECT country, SUM(sales) FROM sales_data WHERE drug = 'DrugB' GROUP BY country ORDER BY SUM(sales) DESC LIMIT 5",
"SELECT \"Length (minutes)\" FROM table_1_15430606_1 WHERE \"Directed by\" = 'Jimmy Kaufman' GROUP BY \"Length (minutes)\" ORDER BY \"Length (minutes)\" DESC LIMIT 1;",
"SELECT \"people\" FROM \"poker_player\" ORDER BY \"money_rank\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"Earnings\" DESC, \"E",
"SELECT emp_id, training_hours FROM trainings ORDER BY training_hours DESC LIMIT 5",
"SELECT \"Date\" FROM table_2_15953875_1 WHERE \"Opponent\" = 'tampa bay bayv 1'",
"SELECT COUNT(DISTINCT professionals.name) FROM professionals WHERE NOT EXISTS (SELECT * FROM `Treatments` WHERE `treatment_type_code` = 'WALK' AND `professional_id` IN (3, 4, 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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87,",
"SELECT Country, AVG(Temperature) AS AverageTemperature FROM WeatherData WHERE Timestamp >= '2022-06-01' AND Timestamp <= '2022-07-01' GROUP BY Country ORDER BY AverageTemperature DESC;",
"SELECT AVG(\"Points\") FROM (SELECT \"Points\" FROM table_2_10814412_9 WHERE \"Player\" = 'nathan McAvoy' AND \"Position\" = 't' AND \"Tries\" > '0') AS \"Average\" WHERE \"Average\" = '1'",
"SELECT shop_name, MAX(employee_id) FROM (SELECT shop_name, MAX(employee_id) as employee_id FROM (SELECT shop_name, employee_id FROM \"employee\" WHERE country = 'India' GROUP BY shop_name) as subquery) as subquery) as subquery GROUP BY shop_name;",
"SELECT CustomerID, PurchaseHistory FROM Customers WHERE CustomerID IN (SELECT CustomerID FROM Customers WHERE PurchaseHistory LIKE '%sustainable%');",
"SELECT \"Score\" FROM table_2_18044375_5 WHERE \"To par\" = '5' AND \"Player\" = 'brian watts'",
"SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) GROUP BY \"Orchestra_ID\" ORDER BY COUNT(\"Orchestra\") DESC LIMIT 1",
"SELECT SUM(vision_capital.vision_capital_id) FROM sustainable_investments vision_capital WHERE vision_capital.vision_capital_id IN (1, 2, 3);",
"SELECT \"Opponent\" FROM table_2_17589865_2 WHERE \"Round\" = 'sf'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"CountryCode\" > '7000'",
"SELECT name, price FROM menu_items WHERE name LIKE 'big%';",
"SELECT \"Tries against\" FROM table_1_12828723_4 WHERE \"Won\" = '12'",
"SELECT student_id, COUNT(*) FROM Like WHERE student_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20) GROUP BY student_id;",
"SELECT MIN(price) FROM ArtWork WHERE artist_contient = 'Africa' AND sale_year >= '2011-01-01';",
"SELECT \"Record\" FROM table_2_11821711_6 WHERE \"Home\" = 'Phoenix'",
"SELECT cost_of_treatment FROM `Treatment_Types` WHERE `treatment_type_description` = 'Vaccination'",
"SELECT year, sum(quantity FROM production WHERE year BETWEEN '2018-01-01' AND '2021-12-31' GROUP BY year;",
"SELECT \"Points\" FROM table_2_14335332_3 WHERE \"Home\" = 'pittsburgh' AND \"Country\" = 'philadelphia'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Document_Typedef_Code IS NOT NULL GROUP BY Template_TypeCode, Template_TypeDescription, Document_Name, Document_Description, Document_Details, Document_Typedef_Code, Document_Typedef_Code IS NOT NULL;",
"SELECT i.name, i.state, i.city, i.name as dispensary_name, i.product_type, i.year, i.max_value as max_value, sum(i.max_value * 12 as product_value) as revenue from Dispensaries i where i.id = 1 and i.state = 'CA' and i.year = 2021 and max_value > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * 12 > 2000 and max_value * ",
"SELECT MIN(\"Year\") FROM table_2_1646960_11 WHERE \"Country\" = 'Indonesia'",
"SELECT AVG(Attendance) FROM performance",
"SELECT AVG(age) FROM visitors WHERE destination_id = '1' AND nationality = 'USA';",
"SELECT \"Champion\" FROM table_2_18828487_1 WHERE \"Year\" < '2012' AND \"Runner-up\" = 'steve beaton'",
"SELECT name FROM museum WHERE museum_ID IN (8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100)",
"SELECT MAX(year_preserved) FROM music_forms WHERE province_id IN (1, 2, 3, 4, 5);",
"SELECT \"Region\" FROM table_2_1585609_1 WHERE \"Prefecture\" = 'Kanagawa'",
"SELECT conductor.name FROM conductor WHERE conductor.name IN (SELECT \"Orchestra\" FROM conductor WHERE year_of_work > 2008)",
"SELECT union_id, MAX(expiring_date) FROM collective_bargaining WHERE agreement_date IS NOT NULL GROUP BY union_id;",
"SELECT \"Venue\" FROM table_2_16351707_1 WHERE \"Rank\" = '3'",
"SELECT \"Name\" FROM \"teacher\" WHERE \"Hometown\" != 'Little Lever Urban District'",
"SELECT country, SUM(CASE WHEN event = 'Event1' THEN 1 ELSE -1 END) AS event_rank, COUNT(*) AS count FROM defense_diplomacy_4 GROUP BY country ORDER BY count DESC;",
"SELECT \"Suburb\" FROM table_2_1174162_1 WHERE \"Year\" = '1962'",
"SELECT DISTINCT 'first_name' FROM 'Breeds' WHERE 'treatment_type_code' = 'VAC'",
"SELECT SUM(revenue) FROM sites WHERE name = 'Site1' AND city = 'Tokyo' AND region = 'Shibuya'",
"SELECT \"Shooter\" FROM table_2_18351792_8 WHERE \"Event\" = 'wc kerrville' AND \"Score points\" = '13'",
"SELECT COUNT(DISTINCT Orchestra) FROM performance WHERE Orchestra_ID IS NOT NULL AND Or Orchestra_ID IS NOT NULL AND Or Orchestra_ID IS NOT NULL;",
"SELECT AVG(age) FROM ancient_burials WHERE gender = 'Female';",
"SELECT \"Away team\" FROM table_2_10789881_16 WHERE \"Home team\" = '11.15 (81)'",
"SELECT \"grade\" FROM Highschooler WHERE student_id = 1501",
"SELECT AVG(price) FROM property WHERE city = 'Oakland';",
"SELECT \"Agency\" FROM table_1_14125006_1 WHERE \"Total EVAs\" = '3' AND \"Total Time hours:Minutes\" = '00:00:00'",
"SELECT \"StuID\" FROM \"Student\" WHERE \"LName\" = 'Schwartz'",
"SELECT artist_id, COUNT(*) FROM songs_artists WHERE genre = 'country' GROUP BY artist_id ORDER BY COUNT(*) DESC LIMIT 2;",
"SELECT \"Total\" FROM table_2_1453730_1 WHERE \"Bronze\" = '0' AND \"Rank\" = '5' AND \"Gold\" > '0'",
"SELECT name, birth_date FROM \"people\" ORDER BY name",
"SELECT process_id, AVG(downt), AVG(d) OVER (PARTITION BY process_id) AS avg_downt, AVG(d) OVER (PARTITION BY process_id) - AVG(d) OVER (PARTITION BY process_id, EXCEPT(d)) FROM manufacturing_processes WHERE d > 25) AS avg_d from manufacturing_processes;",
"SELECT \"Player\" FROM table_2_12913985_6 WHERE \"Score\" = '76-67-71=214'",
"SELECT line_1, line_2 FROM `Transcript_Contents` WHERE student_id IN (0) UNION all SELECT line_1, line_2 FROM `Transcript_Contents` WHERE student_id IN (1)",
"SELECT MAX(cost) FROM infrastructure_development WHERE location = 'Region L';",
"SELECT \"Opponent\" FROM table_2_17360905_3 WHERE \"Record\" = '4 - 0 - 0'",
"SELECT \"GPE\", \"GDPP\", \"GKPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '10' UNION ALL SELECT \"CountryCode\", \"KPE\", \"GKPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '10'",
"SELECT destination_name, sum(awards) FROM Destinations WHERE awards > (SELECT AVG(Awards) FROM Destinations WHERE Awards = '3' OR Awards = '2') GROUP BY destination_name ORDER BY sum(awards) DESC LIMIT 1",
"SELECT \"Debut\" FROM table_2_16388723_3 WHERE \"Country\" = 'England' AND \"Name\" = 'Sydney Barnes'",
"SELECT '1' as Orchestra, '2' as Orchestre, '3' as Orchestre, '4' as Orchestre, '5' as Orchestre, '6' as Orchestre, '7' as Orchestre, '8' as Orchestre, '9' as Orchestre, '10' as Orchestre, '11' as Orchestre, '12' as Orchestre, '13' as Orchestre, '14' as Orchestre, '15' as Orchestre, '16' as Orchestre, '17' as Orchestre, '18' as Orchestre, '19' as Orchestre, '20' as Orchestre, '21' as Orchestre, '22' as Orchestre, '23' as Orchestre, '24' as Orchestre, '25' as Orchestre, '26' as Orchestre, '27' as Orchestre, '28' as Orchestre, '29' as Orchestre, '30' as Orchestre, '31' as Orchestre, '32' as Orchestre, '33' as Orchestre, '34' as Orchestre, '35' as Orchestre, '36' as Orchestre, '37'",
"SELECT e.source_id, e.source_name, f.amount FROM exhibition_funding e, funding_sources f, art_exhibitions e WHERE e.exhibition_id = f.exhibition_id AND e.source_id = f.source_id AND e.source_id = 1 AND f.source_id = 2",
"SELECT \"Poles\" FROM table_2_15204473_1 WHERE \"Position\" = '1'",
"SELECT id FROM \"Ref_Template_Types\" WHERE \"Template_TypeCode\" = 'PPT'",
"SELECT AVG(monthlyConsumption / population FROM urban_areas;",
"SELECT \"Mecha\" FROM table_2_144915_1 WHERE \"Weapon\" = 'G-Force'",
"SELECT MAX (max 'accelerate' (car_makers.Cylinders)) FROM cars_data;",
"SELECT AVG(total_spending) FROM gaming_facts WHERE country IN ('USA', 'Canada', 'Mexico', 'China', 'Japan');",
"SELECT \"Home team score\" FROM table_1_16388398_1 WHERE \"Home team\" = 'Brisbane Lions'",
"SELECT * FROM hiring",
"SELECT SUM(investments.investors) FROM investments WHERE investments.location = 'Asia' AND investments.invests >= 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Venue\" FROM table_2_16816376_1 WHERE \"Year\" > '1992' AND \"Year\" > '1991' AND \"Year\" > '1992' AND \"Year\" > '1994' AND \"Year\" > '1995' AND \"Year\" > '1996' AND \"Year\" > '1997' AND \"Year\" > '1998' AND \"Year\" > '1999' AND \"Year\" > '2000' AND \"Year\" > '2001' AND \"Year\" > '2002' AND \"Year\" > '2003' AND \"Year\" > '2004' AND \"Year\" > '2005' AND \"Year\" > '2006' AND \"Year\" > '2007' AND \"Year\" > '2008' AND \"Year\" > '2009' AND \"Year\" > '2010' AND \"Year\" > '2011' AND \"Year\" > '2012' AND \"Year\" > '2013' AND \"Year\" > '2014' AND \"Year\" > '2015' AND \"Year\" > '2016' AND \"Year\" > '2017' AND \"Year\"",
"SELECT player_id FROM players WHERE country_code = 'USA' INTERSECT SELECT player_id FROM players WHERE player_id IN (SELECT first_name FROM players WHERE country_code = 'USA');",
"SELECT project_name, cost FROM creative_ai_projects WHERE cost > 0 ORDER BY cost DESC LIMIT 3;",
"SELECT \"Country\" FROM table_2_16456989_4 WHERE \"Score\" = '73-69-73=215'",
"SELECT Employee_ID, Age, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus, ' - ' + LEFT('Employee Name, Age, City, Country, Year_awarded, Bonus",
"SELECT 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(bonuses) FROM evaluation WHERE is_full_time = '1' AND year_awarded = '2011' UNION ALL SELECT sum(bonuses) FROM evaluation WHERE is_full_time = '1' AND year_awarded = '2011';",
"SELECT type, AVG(type) FROM electric_vehicles WHERE city = 'Seoul' GROUP BY type;",
"SELECT \"Score in the final\" FROM table_1_2201724_1 WHERE \"Championship\" = 'Tony Roche'",
"SELECT employee_name, MAX(evaluation.bonus) as bonus FROM evaluation WHERE evaluation.employee_id IN (6, 7, 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, 75, 76, 77, 78, 79, 80, 81, 82, 83",
"SELECT SUM(project) FROM rural_infrastructure WHERE country = 'Indonesia, Philippines, Thailand, Philippines, Malaysia, Vietnam, Thailand, Philippines, Malaysia, Vietnam, Thailand, Malaysia' AND year = 2018",
"SELECT \"Record\" FROM table_2_16864968_3 WHERE \"Attendance\" > '17,033' AND \"Location\" = 'air canada centre' AND \"Points\" < '3,370'",
"SELECT \"Name\" FROM teacher WHERE \"Age\" IN (32, 33)",
"SELECT SUM(Emissions) FROM Emissions WHERE Sector IN ('Residential', 'Commercial');",
"SELECT \"To par\" FROM table_2_17162179_4 WHERE \"Country\" = 'United States' AND \"Place\" = 't4' AND \"Score\" = '71-68=139'",
"SELECT \"Customer reviews\" FROM Documents WHERE Document_Name = 'Customer reviews';",
"SELECT species, stocking_density FROM fish_stock WHERE year = 2021 GROUP BY species;",
"SELECT \"Protections activities\" FROM table_2_16078334_1 WHERE \"Notarial activities\" = 'No' AND \"Conduct of litigation\" = 'Yes' AND \"Regulator\" = 'Association of Law Costs Draftsmen'",
"SELECT museum.Name, SUM(visit visitors.Two_Times) as Total_visits FROM visitor visitor INNER JOIN visit visits2 ON visitor.ID = visits2.ID WHERE visitor.Two_Times > 0 GROUP BY museum.Name ORDER BY Total_visits DESC LIMIT 1;",
"SELECT name, state FROM rural_hospitals WHERE num_beds > 50 GROUP BY name, state;",
"SELECT \"Crowd\" FROM table_2_10774891_8 WHERE \"Crowd\" > '18,200' AND \"Home team\" = 'st kilda'",
"SELECT SUM(People.People) FROM countrylanguage PE WHERE PE.Language.LanguageCode = 'es' GROUP BY PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode, PECode",
"SELECT name FROM miningSites WHERE extraction_rate <= 12.5 AND location != 'California'",
"SELECT \"Character type\" FROM table_2_14069895_2 WHERE \"Leading lady\" = 'Phyllis Welchch'",
"SELECT SUM(CASE WHEN `CountryCode` IS NOT NULL THEN 1 ELSE 0 END) FROM country WHERE `CountryCode` LIKE '%AFG%'",
"SELECT g.genre, AVG(g.length) as avg_length FROM tracks g GROUP BY genre ORDER BY avg_length DESC;",
"SELECT \"Date\" FROM table_2_16713178_1 WHERE \"Week\" < '14' AND \"Opponent\" = 'san francisco 49ers'",
"SELECT \"tours\" FROM \"rankings\" WHERE \"tourney_date\" IS NOT NULL GROUP BY \"tours\"",
"SELECT make, model FROM japan_ev_sales WHERE year >= 2019 AND year <= 2021;",
"SELECT \"Venue\" FROM table_2_1126878_3 WHERE \"Competition\" = '1978 FIFA World Cup qualification'",
"SELECT SUM(la.GNP) FROM countrylanguage \"La\" \"La\" WHERE \"CountryCode\" = '1' UNION ALL SELECT SUM(la.GNP) FROM countrylanguage \"La\" \"La\" WHERE \"CountryCode\" = '1'",
"SELECT type, AVG(investment) FROM clients GROUP BY type, AVG(investment)",
"SELECT \"Record\" FROM table_2_18336411_4 WHERE \"Home\" = 'New York Rangers' AND \"Date\" = 'April 17'",
"SELECT \"Paragraphs\" FROM \"Documents\" WHERE \"Document_Name\" = 'Welcome to NY'",
"SELECT city, COUNT(*) FROM mobile_customers WHERE city = 'Seattle' GROUP BY city;",
"SELECT \"Height\" FROM table_1_12962773_12 WHERE \"Year born\" = '1976'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" IS NOT NULL GROUP BY \"Country\" ORDER BY \"Country\" + 's';",
"SELECT sum(engagement_score) FROM ai_solutions WHERE implemented_date >= '2021-01-01';",
"SELECT \"Aggregate score\" FROM table_1_28068063_2 WHERE \"Winners\" = 'Viadana'",
"SELECT charge_type, cost_of_treatment as charge_cost FROM `treatment_type_description` WHERE `treatment_type_description` = 'Vaccination'",
"SELECT SUM(price) FROM menus WHERE price >= 5;",
"SELECT \"Manufacturer\" FROM table_2_1290024_17 WHERE \"GSWR Class\" = '11'",
"SELECT \"Language\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'af'",
"SELECT country, COUNT(*) FROM device_country GROUP BY country;",
"SELECT \"Score\" FROM table_2_1762917_13 WHERE \"Competition\" = 'Friendly' AND \"Date\" = '30 april'",
"SELECT \"winner_id\", \"winner_name\" FROM \"matches\" WHERE \"tourney_date\" IS NOT NULL",
"SELECT SUM(funding_amount) FROM biotech_startups WHERE location = 'Texas'",
"SELECT \"Record\" FROM table_2_16201038_1 WHERE \"Seasons\" = '2' AND \"Coach\" = 'lowman'",
"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 = 'New York' AND destination_warehouse_id = 'New York';",
"SELECT \"Class Pos.\" FROM table_2_1235144_3 WHERE \"Laps\" > '333' AND \"Year\" < '2004'",
"SELECT \"Document_Name\", \"DocumentID\", \"DocumentID\" FROM \"Documents\" WHERE \"DocumentName\" = '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 \"CountryCode\", \"Name\", \"Continent\", \"Population\", \"Area\" FROM \"country\" WHERE \"CountryCode\" = 'afg' AND \"Area\" = '1' UNION SELECT \"CountryCode\", \"Name\", \"Continent\", \"Area\", \"Area\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'afg' UNION SELECT \"CountryCode\", \"Name\", \"Continent\", \"Area\", \"Area\" FROM \"country\" WHERE \"CountryCode\" = 'afg')",
"SELECT min(SustainabilityScore) FROM TextileSources WHERE SourceID = 1 GROUP BY SourceID;",
"SELECT \"Club\" FROM table_1_1676073_13 WHERE \"Points for\" = '693'",
"SELECT AVG('GDP') FROM countrylanguage WHERE 'CountryCode' = 'NLD' AND 'Language' = 'T'",
"SELECT SUM(revenue) FROM virtual_tours WHERE name = 'Virtual London Tour';",
"SELECT \"Version\" FROM table_2_11677066_1 WHERE \"Year\" = '1940-45'",
"SELECT MAX(CASE WHEN IsOfficial THEN 'F' ELSE 'N' END) as Most_Diverse_Language_Country, MAX(Case From IsOfficial) as Max_Year_Country, MAX(Case From IsOrigin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From Is Origin) as Max_Dest, MAX(Case From",
"SELECT Province, SUM(Vaccinations) FROM Vaccinations GROUP BY Province;",
"SELECT \"Venue\" FROM table_2_10776330_6 WHERE \"Away team\" = 'geelong'",
"SELECT \"state\" FROM `CONTESTANTS` WHERE `contestant_number` = 228",
"SELECT MAX(amount) FROM grants WHERE department = 'Physics' AND amount > 0",
"SELECT \"Sex ratio (rural)\" FROM table_2_10710364_2 WHERE \"Sex ratio (1991\u20132001)\" = '37.7%'' AND \"Population (1991\u20132001)\" = '37.7%'' WHERE \"Sex ratio (1991\u20132001)\" = '1009%';",
"SELECT SUM(\"Total_spent\") FROM visitor WHERE \"Museum_ID\" = '1'",
"SELECT supplier_id, SUM(quantity FROM product GROUP BY supplier_id;",
"SELECT \"Event\" FROM table_2_17440437_2 WHERE \"Method\" = 'submission (triangle choke)' AND \"Time\" = 'n/a'",
"SELECT \"winner_id\" FROM matches WHERE \"tourney_date\" = '2013-W-WT-TUR-01A-2013' AND \"tourney_id\" = '6-3 6-1'",
"SELECT AVG(PlayerAge) FROM Players WHERE PlayerAge >= 25 AND PlayerAge < 30;",
"SELECT \"Year\" FROM table_2_15001957_1 WHERE \"Men's doubles\" = 'Gaby Weissen Mireille Kosmala'",
"SELECT \"singer\" FROM concert WHERE \"Year\" = '2014'",
"SELECT COUNT(*) FROM students WHERE gender = 'Non-binary' AND program = 'Arts' AND publications > 1",
"SELECT MIN(\"Population\") FROM table_1_176524_2 WHERE \"Census Ranking\" = '750.51'",
"SELECT COUNT(CountryId) FROM \"car_makers\" WHERE \"Maker\" > '1' AND \"Country\" > '2' UNION SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" > '1' AND \"Country\" = 'uk' GROUP BY \"car_makers\" ORDER BY \"Country\" DESC;",
"SELECT site_id, COUNT(site_id) FROM asian_sites(site_id=1 AND site_id IN (1, 2) GROUP BY site_id;",
"SELECT \"Mac OS X\" FROM table_2_1163160_2 WHERE \"Haiku\" = 'No' AND \"GNU/Linux\" = 'No' AND \"Windows\" = 'No'",
"SELECT \"StuID\" FROM \"Student\" WHERE \"LName\" LIKE 'Paw' OR \"LName\" LIKE 'Dog' OR \"LName\" LIKE 'Cat'",
"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 \"2-letter abbreviation\" = 'CY'",
"SELECT name FROM song WHERE birth_year IN (1948, 1949) GROUP BY name",
"SELECT product_name, price, farmer_id, location, sustainable_practices, price * farmer_id as cost FROM Agroecology_Farmers WHERE location LIKE 'Kenyan Highlands%' AND sustainable_practices % 100 = 0",
"SELECT \"Hand Number\" FROM table_1_26853172_1 WHERE \"Prevailing Wind\" = 'east' AND \"Player 2\" = 'South'",
"SELECT COUNT(Car_Name) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,",
"SELECT SUM(mass) FROM SpacecraftManufacturing WHERE manufacturer = 'ESA' AND launch_date < '2010-01-01';",
"SELECT \"Total\" FROM table_2_15702100_1 WHERE \"Year\" = '1953\u20131964'",
"SELECT \"StuID\" FROM \"Student\" WHERE \"LName\" = 'Schwartz'",
"SELECT SUM(tickets_bought) FROM events WHERE event_type IN ('Football', 'Basketball');",
"SELECT \"Rank\" FROM table_2_16351707_5 WHERE \"Venue\" = 'bellerive oval , hobart'",
"SELECT zip_postcode FROM Semesters WHERE semester_id = 2;",
"SELECT AVG(water_consumption) FROM arUSA_HouseholdWaterConsumption WHERE month IN ('June', 'July', 'August');",
"SELECT \"School/Club Team\" FROM table_2_10015132_4 WHERE \"Position\" = 'guard'",
"SELECT \"ssn\" FROM \"Student_Enrolment_Courses\" WHERE \"student_enrolment_id\" = '1234 567-890-1234' AND \"student_id\" = '1011 222-3333' AND \"other_student_details\" IS NOT NULL;",
"SELECT AVG(price) FROM sourcing WHERE material = 'cotton' AND country = 'USA';",
"SELECT \"Opponent\" FROM news_readership WHERE \"Date\" = 'bye' AND \"Week\" = '1'",
"SELECT likes.readership FROM (SELECT likes.readership FROM (SELECT likes.readership FROM (SELECT likes.readership FROM (SELECT likes.readership FROM \"Highschooler\" WHERE \"grade\" < '10' AND \"name\" = 'Kyle' AND \"id\" = \"likes\" LIMIT 1) WHERE \"id\" IN (1501, 1911, 1661, 1247, 1782, 1304, 1709, 1316, 1247, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, 1225, ",
"SELECT MAX(score FROM threat_intelligence WHERE source_country = 'Russia';",
"SELECT MIN(\"15 to 17\") AS \"min\" FROM table_1_16457934_5",
"SELECT maker, COUNT(model) FROM \"car_makers\" WHERE country = 'russia' GROUP BY maker;",
"SELECT response_team, incident_count, COUNT(*) OVER (PARTITION BY response_team ORDER BY incident_count DESC) as count FROM emergency_incidents GROUP BY response_team, count;",
"SELECT \"Date\" FROM table_2_16713178_1 WHERE \"Opponent\" = 'bye'",
"SELECT \"stadium_ID\" FROM \"stadium\" WHERE \"Year\" = '2014' UNION ALL SELECT \"stadium_ID\" FROM \"stadium\" WHERE \"Year\" = '2015'",
"SELECT PolicyType, SUM(SaleDate) FROM policies WHERE SaleDate >= '2022-01-01' AND SaleDate <= '2022-01-15' GROUP BY PolicyType;",
"SELECT \"Attendance\" FROM table_2_14984039_1 WHERE \"Result\" = 'w 21\u20137'",
"SELECT \"Paragraphs\" FROM \"Templates\" WHERE \"Version_Number\" = '9'",
"SELECT AVG(fare) FROM fares WHERE bus_id IN (1, 2) AND city = 'Seattle';",
"SELECT \"Pole Position\" FROM table_2_1140077_2 WHERE \"Race\" = 'Brazilian Grand Prix'",
"SELECT DocumentID, TemplateID, DocumentDescription, DocumentDetails FROM Documents WHERE DocumentName = 'Robin CV'",
"SELECT country, SUM(quantity FROM materials GROUP BY country;",
"SELECT \"18\u201349 Rating\" as \"Rank\" from table_1_11238597_4 where \"Air Date\" = '10/17, 2008' where \"18\u201349 Rating\" = 'The Wedding'",
"SELECT country, \"Language\", \"Number of languages spoken\" FROM countrylanguage WHERE language IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) GROUP BY country, \"Language\" ORDER BY country, \"Number of languages spoken\" DESC;",
"SELECT project_id, contractor, contract_value, start_date, project_id FROM DefenseProjects WHERE contract_value > 10000000 AND start_date > '2018-01-01';",
"SELECT \"Scores\" FROM table_1_29141354_2 WHERE \"First broadcast\" = 'Phillips Idowu'",
"SELECT \"car_makers\" FROM cars_data WHERE \"car_makers\" LIKE '17' INTERSECT SELECT \"car_makers\" FROM cars_data WHERE \"car_makers\" LIKE '18'",
"SELECT industry_name, SUM(total_workers FROM if not exists industry GROUP BY industry_name;",
"SELECT \"Ground\" FROM table_2_15764352_9 WHERE \"Time\" = '18:45'",
"SELECT museum_id, name FROM visitor WHERE museum_id = '1234567890' GROUP BY museum_id ORDER BY SUM(1.0) DESC LIMIT 1",
"SELECT studio, workout FROM (SELECT studio, workout, ROW_NUMBER() OVER (SELECT COALESCE(SUM(workout), workout) FROM Workouts WHERE workout LIKE 'Boxing%') as workout, workout, workout FROM Workouts WHERE workout LIKE 'Boxing%' UNION ALL SELECT studio, workout, 0 FROM Workouts WHERE workout LIKE 'Boxing%' UNION ALL SELECT studio, workout, 0 FROM Workouts WHERE workout LIKE 'Boxing%') GROUP BY studio, workout) as unique_workouts",
"SELECT \"Winner\" FROM table_2_17282079_5 WHERE \"Event\" = 'Punta del Este'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" = 'AFG' INTERSECT SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" = 'NLD'",
"SELECT program_id, MAX(amount) FROM donations GROUP BY program_id;",
"SELECT \"Res.\" FROM table_2_18214958_2 WHERE \"Time\" = '1:09'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"Language\" = 'af' AND \"Name\" = 'afg' UNION SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"Language\" = 't' UNION SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"Language\" = 't');",
"SELECT MIN(min_depth) FROM marine_protected_areas WHERE name = 'MPA2';",
"SELECT \"Rank (week)\" FROM table_1_23177573_1 WHERE \"Written by\" = 'Russel Friend & Garrett Lerner'",
"SELECT COUNT(DISTINCT `student_id`) FROM `Students` WHERE `current_address_id` IS NOT NULL GROUP BY `student_id`",
"SELECT menu_category, SUM(quantity as sellable_quantity FROM orders GROUP BY menu_category ORDER BY sellable_quantity DESC LIMIT 3;",
"SELECT \"Goal Average 1\" FROM table_1_17359181_1 WHERE \"Position\" = '1'",
"SELECT MAX(Courses.transcript_id) FROM \"Transcript_Contents\" AS C WHERE \"Transcript_Contents\" IS NOT NULL AND \"Course\" = 'course_id' AND \"course_id\" = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id' = 'course_id' AND 'course_id",
"SELECT SUM(vessel_performance.readership) FROM vessel_performance WHERE vessel_performance.name LIKE 'Vessel M' AND vessel_performance.name LIKE 'Vessel N' AND vessel_performance.name LIKE '15' + ' to ' + '20' AND vessel_performance.name LIKE '2022-07-05' AND vessel_performance.name LIKE '2022-07-12' AND vessel_performance.name LIKE '7-12' AND vessel_performance.name LIKE '7-25' AND vessel_performance.name LIKE '7-25' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12' AND vessel_performance.name LIKE '15-12",
"SELECT \"Record\" FROM table_2_13955731_7 WHERE \"Date\" = 'september 30'",
"SELECT \"Content\" FROM \"TV_series\" WHERE \"Channel\" = 'Sky Radio'",
"SELECT SUM(sales) FROM VehicleSales WHERE year >= 2015 AND continent = 'Africa';",
"SELECT \"Home team score\" FROM table_2_10885968_11 WHERE \"Venue\" = 'lake oval'",
"SELECT name, result, bulgarian_commander FROM battle WHERE lost_in_battle IS NULL AND 'English Channel' = 'Bulgarian victory' AND 'WestMidnapore, West Bengal' = 'West Midnapore'",
"SELECT country, AVG(avgDepth FROM marine_protected_areas GROUP BY country;",
"SELECT \"Women's singles\" FROM table_2_15001681_1 WHERE \"Men's singles\" = 'andreas radl' AND \"Men's doubles\" IS NOT NULL",
"SELECT \"Weekly_Rank\" FROM \"TV_series\" WHERE \"Episode\" = 'A Love of a Lifetime'",
"SELECT COUNT(DISTINCT DevA.developer_id) FROM Developers Devs, DApps DevApp, Devs.region = DevApp.developer_id WHERE Devs.name = 'DevA' AND Devs.creation_date = '2021-01-01' AND Devs.region = 'Asia';",
"SELECT \"Winning score\" FROM table_2_1586876_1 WHERE \"Runner(s)-up\" = 'Charles Coody'",
"SELECT \"Hight_definition_TV\" FROM \"Cartoon\" WHERE \"Hight_definitionTV\" = 'Joseph Kuhr'",
"SELECT location FROM urban_properties WHERE size > 1500",
"SELECT \"1st leg\" FROM table_2_17290756_2 WHERE \"Team 1\" = 'Makedonija'",
"SELECT grade FROM Highschooler WHERE grade >= 10",
"SELECT SUM(satellites) FROM satellite_launches WHERE country IN ('India', 'USA');",
"SELECT \"Home captain\" FROM table_2_12410929_13 WHERE \"Result\" = 'Draw' AND \"Result\" = 'Draw' AND \"Date\" = '23,24,25,26 July 1992'",
"SELECT \"tourney_id\" FROM \"matches\" WHERE \"tourney_date\" = '2013-10-12' OR \"tourney_date\" = '2016-01-12' UNION \"tourney_id\" FROM \"matches\" WHERE \"tourney_id\" = '2013-10-12' OR \"tourney_id\" = '2016-01-12'",
"SELECT SUM(DonationAmount) FROM DonorTypes WHERE DonorType = 'Donor' UNION ALL SELECT 'New' FROM DonorTypes WHERE DonorType = 'Donor' UNION ALL SELECT 'Returning' FROM DonorTypes WHERE DonorType = 'Returning';",
"SELECT \"Length\" FROM table_2_14069895_2 WHERE \"Character type\" = 'Milkman turned Pratel'",
"SELECT \"GNPOld\" FROM country WHERE \"CountryCode\" = '11' AND \"CountryCode\" = '12' UNION SELECT \"GNPOle\" FROM country WHERE \"CountryCode\" = '11' AND \"CountryCode\" = '12';",
"SELECT SUM(quantity FROM warehouse_p WHERE item_type = 'E' UNION ALL SELECT SUM(quantity FROM warehouse_o WHERE item_type = 'F';",
"SELECT \"Original air date\" FROM table_1_23799417_1 WHERE \"Title\" = 'something new'",
"SELECT \"Channel\" FROM \"TV_series\" WHERE \"Language\" = 'English'",
"SELECT AVG(value) FROM contracts",
"SELECT \"Game\" FROM table_2_15780049_5 WHERE \"Score\" = 'l 90\u2013104 (ot)'",
"SELECT COUNT(DOCT) FROM \"Professionals\" WHERE professional_id NOT IN (SELECT \"Protections\" FROM \"Dogs\") AND professional_id IS NOT NULL)",
"SELECT Policy Area, Score FROM Policy WHERE Score = MIN(Score) GROUP BY Policy Area ORDER BY Score;",
"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\") FROM \"singer\" WHERE \"Name\" = 'Liliane Bettencourt'",
"SELECT SUM(revenue) FROM concert_events JOIN artist_demographics ON concert_events.artist_id = demographics.artist_id WHERE concert_events.event_location = 'Canada' AND country = 'Canada';",
"SELECT \"Vehicle\" FROM table_2_1842080_3 WHERE \"Year\" > '2009' AND \"Position\" = '5' AND \"Stages won\" = '0'",
"SELECT DISTINCT Template_Type_Code FROM RefTemplate_Types",
"SELECT SUM(Amount) FROM Budget WHERE City = 'CityC';",
"SELECT SUM(\"Points\") FROM table_2_1228324_1 WHERE \"Chassis\" = 'Reynard 92d'",
"SELECT \"Name\" FROM \"teacher\" WHERE \"Age\" < \"17\" ORDER BY \"Age\" ASC;",
"SELECT MAX(water_usage) FROM miami_customers WHERE city = 'Miami';",
"SELECT \"Eliminated from competition\" FROM table_1_28068063_3 WHERE \"Points margin\" = '102 \u2013 29'",
"SELECT `id`, `name` FROM \"battle\" WHERE `caused_by_ship_id` IS NOT NULL",
"SELECT SUM(price) FROM features WHERE name = 'Virtual tours';",
"SELECT surface FROM table_2_13900387_2 WHERE \"Surface\" = 'Adrian Ungur'",
"SELECT \"stadium_ID\", \"Name\" FROM \"stadium\" WHERE \"Year\" = '2014' INTERSECT SELECT \"stadium_ID\", \"Name\" FROM \"stadium\" WHERE \"Year\" = '2015'",
"SELECT COUNT(Name) FROM CommunityHealthWorkers WHERE Language = 'Spanish' GROUP BY Name;",
"SELECT \"Record\" FROM table_2_16946097_7 WHERE \"Score\" = '104-99'",
"SELECT MAX `age` FROM `Breeds` WHERE `treatment_type_code` = 'VAC'",
"SELECT AVG(consultations) FROM (SELECT consultations FROM residents WHERE state = 'New York' AND rural = false) AS inner, cities.name AS city, cities.name AS state, 100.0 * inner.readership * inner.adults * inner.rural * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.adults * inner.ad",
"SELECT \"Losses\" FROM table_2_12886178_6 WHERE \"Club\" = 'Abercarn'",
"SELECT \"stadium_ID\", \"Name\", \"Capacity\" FROM \"stadium\" WHERE \"Year\" = '2014' OR \"Year\" = '2015' OR \"Year\" = '2016' OR \"Year\" = '2017' OR \"Year\" = '2018' OR \"Year\" = '2019' OR \"Year\" = '2020' OR \"Year\" = '2021' OR \"Year\" = '2022' OR \"Year\" = '2023' OR \"Year\" = '2024' OR \"Year\" = '2025' OR \"Year\" = '2026' OR \"Year\" = '2027' OR \"Year\" = '2028' OR \"Year\" = '2029' OR \"Year\" = '2030' OR \"Year\" = '2031' OR \"Year\" = '2032' OR \"Year\" = '2033' OR \"Year\" = '2034' OR \"Year\" = '2035' OR \"Year\" = '2036' OR \"Year\" = '2037' OR \"Year\" = '2038' OR \"Year\" = '2039' OR \"Year\" = '2040' OR \"Year\" = '",
"SELECT 0 FROM Users WHERE uses_wearable IS false",
"SELECT \"Score\" FROM table_2_17162255_6 WHERE \"Country\" = 'United States' AND \"Place\" = 't8' AND \"Player\" = 'craig stadler'",
"SELECT MAX(model_list) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, ",
"SELECT MAX(funding_round) FROM funding JOIN company_rounds ON funding.company_id = company_rounds.company_id JOIN funding_rounds.funding_round_id ON company_rounds.funding_round_id = funding_rounds.funding_round_id AND company_rounds.funding_type = 'renewable energy' WHERE company_rounds.funding_round_type = 'Series A' AND company_rounds.funding_type = 'renewable energy' AND company_rounds.funding_id = f.funding_id;",
"SELECT MIN(\"Height (m)\")\") FROM table_2_1753419_2 WHERE \"Prominence (m)\" = '2,349'",
"SELECT employee_name FROM employee WHERE employee_id IN (6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 129, 130, 132, 134, 136, 138, 139, 140, 142, 144,",
"SELECT SUM(refinery_id) FROM yterbium_refineries WHERE continent = 'South America';",
"SELECT \"Attendance\" FROM table_2_12206319_2 WHERE \"Record\" = '8-10'",
"SELECT \"GNPOld\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"Country",
"SELECT country, SUM(cruelty_free, COUNT) FROM cruelty_free_products WHERE cruelty_free = true GROUP BY country;",
"SELECT \"1-1\" FROM table_2_13601241_3 WHERE \"1-0\" = \"1-1\"",
"SELECT MAX (cars_data.Mpgh) FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT CarId FROM cars_data WHERE CarsId = (SELECT",
"SELECT Region, SUM(CASE WHEN Service = 'Hospital A' THEN 1 ELSE 0 END) + CASE WHEN Service = 'Clinic C' THEN 1 ELSE 0 END) + CASE WHEN Service = 'Hospital F' THEN 1 ELSE 0 END FROM Healthcare Services GROUP BY Region;",
"SELECT \"Player\" FROM news_readership WHERE \"Country\" = 'India' AND \"NHL team\" = 'Los Angeles Kings'",
"SELECT Document_ID, COUNT(DISTINCT Paragraphs) OVER (ORDER BY Document_ID) as Document_Paragraphs, Document_Paragraphs, 'Ko' as Document_Paragraphs, 'Ko' as Document_Paragraphs FROM Document_Types WHERE Document_Types.PPT_Code IS NOT NULL;",
"SELECT SUM(num_hospitals) FROM City WHERE population > 1000000",
"SELECT \"Runner-up\" FROM table_2_1059743_6 WHERE \"Winner\" = 'ilhwa chunma'",
"SELECT \"CountryCode\", \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"CountryCode\" IS NOT NULL AND \"Language\" LIKE 'F%' GROUP BY \"CountryCode\" ORDER BY \"CountryCode\";",
"SELECT COUNT(DISTINCT patient_id) FROM patients INNER JOIN treatments ON patients.id = treatments.id WHERE patients.country = 'India' AND treatments.treatment = 'Group Therapy';",
"SELECT MIN(\"April\") FROM table_2_17310913_8 WHERE \"Game\" < '76'",
"SELECT COUNT(CountryId) FROM \"car_makers\" WHERE \"Maker\" = 'Fiat' AND \"Country\" = 'russia'",
"SELECT SUM(price) FROM Artworks WHERE style = 'Expressionist';",
"SELECT \"Channel\" FROM table_1_1992924_3 WHERE \"Channel\" = 'channel' AND \"Spokesperson\" = 'channel' AND \"Dual Commentator\" = ' larisa verbickay'",
"SELECT \"teacher\" as \"teacher_name\", \"age\" as \"age\" FROM \"teacher\" WHERE \"teacher\" = 'John Deloor'",
"SELECT region, metric1 * 2020 + metric2 * 2020 + metric3 * 2021 FROM health_equity_metrics_worker WHERE year >= 2020 GROUP BY region;",
"SELECT \"Written by\" FROM table_1_17355743_1 WHERE \"Season #\" = '10'",
"SELECT pet_age, COUNT(DISTINCT pet_type) FROM Has_Pet WHERE country = 'India' GROUP BY pet_type;",
"SELECT district, cases FROM (SELECT district, cases FROM infectious_disease_delhi WHERE cases > cases GROUP BY district ORDER BY cases DESC) as subquery WHERE cases > 100",
"SELECT \"Lambda functions\" FROM table_2_1515407_3 WHERE \"s Default argument\" = 'no' AND \"s\" = 'no';",
"SELECT \"name\", \"date\", \"result\" FROM battle WHERE \"caused_by_ship_id\" IS NOT NULL",
"SELECT country, SUM(subscribers.subodership) FROM broadband_subscribers JOIN country_codes ON broadband_subscribers.country = country_codes.code WHERE subscriber_id IS NOT NULL GROUP BY country ORDER BY SUM(subscribers.subodership) DESC LIMIT 5",
"SELECT \"Country\" FROM table_1_1473672_6 WHERE \"NHL team\" = 'derek black'",
"SELECT count(transcript_id) FROM \"Transcript_Contents\" WHERE \"student_course_id\" = 2",
"SELECT port_id, AVG(time_in_hours) FROM cargo_handling GROUP BY port_id;",
"SELECT \"Date\" FROM table_2_17386087_2 WHERE \"Week\" > '15'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"Language\" = 'F'",
"SELECT sum(products.Weight) FROM Products JOIN Products.Category_ID JOIN Products.Category_Name AS products_Name JOIN Products.Organic AND Products.Name AS Organic, Products.Name AS CategoricalName, Products.Organic as OrganicWeight WHERE Products.Name = 'Volumizing Shampoo' AND Products.Organic = 30.0;",
"SELECT \"Number\" FROM table_2_12395766_1 WHERE \"Pieces\" = '277'",
"SELECT breed_name FROM Breeds WHERE breed_code = 'BUL' ORDER BY count(breed) DESC LIMIT 1",
"SELECT CityName, COUNT(*) FROM Feedback WHERE Date >= '2020-01-01' AND Date <= '2020-12-31' GROUP BY CityName;",
"SELECT \"1:30 pm pm\" FROM table_2_17871255_4 WHERE \"12:30 pm\" = \"Sunset Beach\"",
"SELECT \"Departments\"., \"degree_summary_description\" FROM \"Students\" WHERE \"current_address_id\" IS NOT NULL GROUP BY \"degree_summary_description\" ORDER BY \"degree_summary_description\" DESC LIMIT 1",
"SELECT SUM(population) FROM wildlife WHERE year = 2020;",
"SELECT \"Week 14 Nov 30\" FROM table_2_15291779_3 WHERE \"Week 14\" = 'november 30' AND \"Week 6\" = 'oct 5'",
"SELECT area_code, MAX(area_code) FROM area_code;",
"SELECT e.name, e.country FROM employee e JOIN mine m ON m.id = e.mine_id GROUP BY e.country;",
"SELECT \"Matches As Captain\" FROM table_1_272865_20 WHERE \"Years Active\" = '1988\u20131992'",
"SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_id = 1000000000000000000 AND student_enrolment_id IS NOT NULL;",
"SELECT project_name, funding_amount FROM climate_finance WHERE year = 2019 AND funding_amount > 0 GROUP BY project_name ORDER BY funding_amount DESC LIMIT 3",
"SELECT \"Nationality\" FROM news_readership WHERE \"Country\" = 'Canada' AND \"Player\" = 'Larry Courville'",
"SELECT \"Package_Option\" FROM \"TV_series\" WHERE \"Channel\" = 'Sky Radio'",
"SELECT start_date FROM projects WHERE country = 'India' AND project_name LIKE 'Rural Access';",
"SELECT \"Points\" FROM table_1_26223231_1 WHERE \"Races\" = '6'",
"SELECT flightNo FROM flights WHERE flightNo LIKE 'United Airlines%'",
"SELECT production_count FROM production WHERE well_id = 'A01'",
"SELECT \"Census Ranking\" FROM table_1_176524_2 WHERE \"Area km 2\" = 'perth'",
"SELECT \"grade\" FROM (SELECT \"grade\" FROM (SELECT \"grade\" FROM \"Highschooler\" WHERE \"grade\" >= 9) WHERE \"grade\" IS NOT NULL) WHERE \"grade\" IS NOT NULL) WHERE \"grade\" IS NOT NULL",
"SELECT director_id, movies_count FROM movies_per_director GROUP BY movies_count ORDER BY movies_count DESC LIMIT 5",
"SELECT \"Reign\" FROM table_2_16899750_1 WHERE \"Date\" = 'October 11, 2008'",
"SELECT pet_age, SUM(pet_age) FROM Has_Pet WHERE pet_age IS NOT NULL GROUP BY pet_age;",
"SELECT workout_type, sum(workout_duration) FROM workout_data_ext GROUP BY workout_type, sum(workout_duration) EXCEPT SELECT workout_type, sum(workout_duration) FROM workout_data_ext GROUP BY workout_type;",
"SELECT \"To par\" FROM table_2_17290229_2 WHERE \"Score\" = '71-74-72-72=289'",
"SELECT \"people_People_ID\", \"people_People_Name\", \"people_People_Nationality\" FROM \"people\" WHERE \"people_People_People_ID\" = '1' UNION SELECT \"people_People_ID\", \"people_People_People_Name\", \"people_People_Name\" FROM \"people\" WHERE \"people_People_People_Name\" = '1'",
"SELECT SUM(quantity FROM production WHERE year = 2020 AND element = 'Neodymium';",
"SELECT \"Xenon\" FROM table_2_18225689_3 WHERE \"Krypton\" = '213'",
"SELECT COUNT(DISTINCT `Departments`.department_id) FROM `Departments` WHERE `degree_summary_description` = 'master'",
"SELECT climate_id, AVG(CASE WHEN climate_id = -100 THEN 0 ELSE 1 END) as correlation FROM Biodiversity WHERE climate_id = -100 GROUP BY climate_id, CASE WHEN climate_id = -100 THEN '1' WHEN climate_id = 1 THEN '0'; ELSE '2' END END;",
"SELECT \"Time/Retired\" FROM table_2_1122991_1 WHERE \"Driver\" = 'ivan capelli'",
"SELECT \"Stadium_ID\" FROM \"concert\" WHERE \"Year\" = '2014' OR \"Stadium_ID\" = '1' UNION SELECT \"stadium\" FROM \"stadium\" WHERE \"Year\" = '2015' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = '3'",
"SELECT SUM(location_waste) FROM location_waste WHERE waste_amount > 0",
"SELECT \"Club\" FROM table_1_13564637_5 WHERE \"Points for\" = '30'",
"SELECT Template_Type_Code FROM RefTemplate_Types GROUP BY Template_TypeCode ORDER BY COUNT(DISTINCT Document_Description) DESC LIMIT 1",
"SELECT MAX(Age) FROM Players WHERE Age >= 30;",
"SELECT \"Years Record Stood\" FROM table_2_18208583_5 WHERE \"Country\" = 'India'",
"SELECT \"singer\", \"Number of concerts\" FROM \"singer\" WHERE \"singer\" IS NOT NULL GROUP BY \"singer\";",
"SELECT MIN(passengers) FROM shared_autonomous_vehicles WHERE district = 3;",
"SELECT \"Date\" FROM table_2_10808089_12 WHERE \"Home team\" = 'Richmond'",
"SELECT \"CountryCode\", \"Language\" FROM \"countrylanguage\" WHERE \"CountryCode\" IS NOT NULL UNION ALL ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL 'And' UNION ALL '",
"SELECT Applications FROM Veteran_Employment WHERE State = 'California' AND Year = 2018",
"SELECT \"Performer 2\" FROM table_2_14934885_4 WHERE \"Performer 3\" = 'Sandi Toksvig' AND \"Performer 4\" = 'Mike McShane'",
"SELECT \"Stadium_ID\", \"Name\", \"Capacity\" FROM \"stadium\" WHERE \"Average\" = \"1\"",
"SELECT Name, Category, TotalContributions FROM Donors WHERE TotalContributions > 1000000 GROUP BY Name, Category;",
"SELECT \"Nominating Festival\" FROM table_2_12152327_1 WHERE \"Country\" = 'India'",
"SELECT \"CountryCode\" FROM countrylanguage WHERE \"Language\" = 'F' AND \"IsOfficial\" = 'T'",
"SELECT store_id, SUM(revenue) FROM sales GROUP BY store_id ORDER BY region;",
"SELECT \"Venue\" FROM table_2_17503198_1 WHERE \"Location\" = 'zhodino'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"People_ID\" > \"people_Persons_ID\"",
"SELECT COUNT(*) FROM news WHERE region = 'region1';",
"SELECT \"Volume:Issue\" FROM table_2_16055163_1 WHERE \"Weeks on Top\" < '5' AND \"Issue Date(s)\" = '10 July - 24 July'",
"SELECT \"course_name\" FROM \"Transcript_Contents\" WHERE \"student_enrolment_id\" IS NOT NULL AND \"other_studentdetails\" IS NOT NULL AND \"student_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL",
"SELECT AVG(age) FROM patient demographics WHERE patient_id = 1;",
"SELECT \"Finish\" FROM table_2_14064009_2 WHERE \"To par\" = 'lee janzen'",
"SELECT \"winner_id\" FROM \"players\" WHERE \"winner_id\" IN (3, 200033, 20131021, 2013-W-WT-TUR-01A-2013, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 20131021, 2013, 2",
"SELECT PolicyType, PolicyholdersCountry, SUM(CaimageAmount) as TotalClaimAmount FROM Claims WHERE PolicyholdersCountry = 'Canada' GROUP BY PolicyType, PolicyholdersCountry ORDER BY TotalClaimAmount DESC LIMIT 3;",
"SELECT \"Attendance\" FROM table_2_12367921_2 WHERE \"Score\" = '3-5'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AF' AND \"CountryCode\" = 'AFG' GROUP BY \"CountryCode\"",
"SELECT location FROM justice_programs WHERE id = 3",
"SELECT \"Date\" FROM table_2_12410929_75 WHERE \"Home captain\" = 'courtney Walsh'",
"SELECT \"GPE\", \"GDP\" FROM \"country\" WHERE \"CountryCode\" = '2' AND \"CountryCode\" = 'af'",
"SELECT AVG(FundingAmount) FROM USFunding WHERE Sector = 'Climate Change'",
"SELECT \"Record\" FROM table_2_14655166_2 WHERE \"Week\" > '5' AND \"Opponent\" = 'at new york giants'",
"SELECT Template_Type_Description, Template_TypeCode FROM RefTemplate_Types WHERE Version_Number IS NOT NULL AND Template_TypeCode = 'PPT' AND Template_TypeCode IS NOT NULL;",
"SELECT Category, AVG(Reviews) AS AverageReviews FROM HeritageSitesReviews WHERE Category = 'Architectural' GROUP BY Category;",
"SELECT \"Position\" FROM table_1_12962773_12 WHERE \"Year born\" = '1984' AND \"Current Club\" = 'Nymburk'",
"SELECT \"Country\" FROM \"Cartoon\" WHERE \"Country\" IN ('700', '701', '702', '703', '704', '705', '706', '707', '708', '709', '710', '711', '712', '713', '714', '715', '716', '717', '718', '719', '720', '721', '722', '723', '724', '725', '726', '727', '728', '729', '730', '731', '732', '733', '734', '735', '736', '737', '738', '739', '740', '741', '742', '743', '744', '745', '746', '747', '748', '749', '750', '751', '752', '753', '754', '755', '756', '757', '758', '759', '760', '",
"SELECT SUM(revenue) FROM sustainable_tourism WHERE year = 2022 AND country IN ('New Zealand', 'Canada');",
"SELECT \"Away team score\" FROM table_2_10640687_18 WHERE \"Home team\" = 'south melbourne'",
"SELECT type, AVG(age) as avg_age, MAX(age) as max_age FROM pets GROUP BY type ORDER BY AVG(age) DESC;",
"SELECT title, filing_date FROM patent WHERE company_id = (SELECT id FROM patent WHERE title = 'GenTech Patent C');",
"SELECT \"Percentage\" FROM table_1_16186152_1 WHERE \"Delegates\" = '1662'",
"SELECT Template_Type_Code, COUNT(Topic) as Document_Count FROM Document_Details GROUP BY Template_TypeCode;",
"SELECT AVG(age_distribution_children) * 100.0 / SUM(age_distribution_children) FROM AgeDistribution WHERE age_distribution_children IS NOT NULL AND age_distribution_children IS TRUE AND age_distribution_children IS NOT NULL;",
"SELECT \"Place\" FROM table_2_16611328_1 WHERE \"Event\" = '4000 m individual pursuit'",
"SELECT \"CountryCode\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'es'",
"SELECT CountryName, SUM(QuantitySold) FROM Products WHERE ProductName = 'Cheese' UNION ALL SELECT 'CountryName', 'Tofu' FROM Products WHERE ProductName = 'Eggs' GROUP BY CountryName;",
"SELECT SUM(\"Floors\") FROM table_2_11542096_2 WHERE \"Name\" = 'St. Joseph Church'",
"SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" IS NOT NULL AND \"Hight_definition_TV\" = '1'",
"SELECT country, SUM(readership) FROM evidence_based_policy_making WHERE launch_year >= '2019-01-01' GROUP BY country ORDER BY SUM(readership) DESC LIMIT 3",
"SELECT \"engine code\" FROM table_2_1147701_4 WHERE \"displacement\" = '2435' AND \"engine code\" = '2.4 (2001-2007)'",
"SELECT AVG('GDP') FROM 'Africa' WHERE 'Country' = 'Netherlands' GROUP BY 'Country';",
"SELECT COUNT(project_id) FROM wind_projects_2 WHERE project_id IN (1, 2, 3, 4, 5) AND completion_year IN (2019, 2020, 2018, 2019, 2020)",
"SELECT \"Sprint Winner\" FROM table_1_2446333_2 WHERE \"Country\" = 'France' INTERSECT SELECT \"Main Winner\" FROM table_1_2446333_2 WHERE \"Country\" = 'Portugal'",
"SELECT \"Singer_ID\", \"Net_Worth_Millions\" FROM \"singer\" WHERE \"Singer_ID\" IN (SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Singer_ID\" IN (SELECT \"Singer_ID\" FROM \"song\" WHERE \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '1000000' OR \"Net_Worth_Millions\" = '100",
"SELECT SUM(hours) FROM volunteers_2 WHERE hours > 10",
"SELECT \"College\" FROM table_2_17100961_49 WHERE \"Round\" = '11' AND \"Pick\" = '14'",
"SELECT \"teacher\" FROM \"teacher\" WHERE \"teacher\" IN ('John Deloor', 'Vicente Carretero', 'Kearsley Brown', 'John Deloor', 'Anne Walker', 'Kearsley Brown', 'Lucy Wong', 'John Deloor', 'Vicente Carretero', 'John Deloor', 'Anne Walker', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Anne Walker', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Anne Walker', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Anne Walker', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kears",
"SELECT COUNT(*) FROM attorneys WHERE ethnicity = 'Latinx' AND years_of_experience > 12;",
"SELECT \"Tosses\" FROM table_1_21995420_6 WHERE \"Basic Elements\" = '52'",
"SELECT area_code FROM area_code_state WHERE state = 'CA'",
"SELECT operation_name, environmental_impact FROM mining_operations WHERE environmental_impact > 3",
"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 \"Name\" FROM \"teacher\" WHERE \"Hometown\" != 'Little Lever Urban District'",
"SELECT gender, AVG(mental_health_score) AS avg_score FROM students WHERE age >= 19 GROUP BY gender, age, ethnicity;",
"SELECT \"Tournament Winner\" FROM table_1_24160890_3 WHERE \"Tournament\" = 'Cincinnati'",
"SELECT pet_age, SUM(pet_age) FROM Has_Pet WHERE student_id IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT StudentID FROM Student WHERE StudentID IN (SELECT Student",
"SELECT SUM(CASE WHEN diagnosis = 'Hypertension' THEN 1 ELSE 0 END) FROM patients WHERE age > 65 AND name IN ('John Doe', 'Jane Smith', 'Bob Johnson');",
"SELECT \"Engine\" FROM table_1_2503102_1 WHERE \"Listed Owner\" = 'Fuzzy's Ultra Premium Vodka'",
"SELECT \"address_id\" FROM \"Students\" WHERE \"current_address_id\" IS NOT NULL",
"SELECT AVG(water_consumption) FROM wastewater_plants WHERE state_id = 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Rank\" FROM table_2_1251973_1 WHERE \"Year\" = '1955'",
"SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" > '1' GROUP BY \"Country\" ORDER BY COUNT(\"Channel\") DESC LIMIT 1;",
"SELECT region, COUNT(*) FROM training INNER JOIN employees ON training.employee_id = employees.id WHERE employees.name = 'John Doe' AND employees.region = 'India' GROUP BY region;",
"SELECT \"Ends Lost\" FROM table_1_25718552_2 WHERE \"Ends Won\" = '30'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"PokerPlayer_ID\" IS NOT NULL",
"SELECT AVG(num_refugees) FROM refugee_data;",
"SELECT \"Series\" FROM table_2_14173105_11 WHERE \"Game\" = '1'",
"SELECT name FROM \"orchestra\" WHERE \"Orchestra_ID\" > 10 ORDER BY \"Age\"",
"SELECT SUM(virtual_experience) FROM localBusinesses WHERE city = 'Madrid';",
"SELECT \"1,725\" FROM table_2_1057262_1 WHERE \"2002-03\" = \"1,725\"",
"SELECT AVG(stu.age) FROM Student stu WHERE NOT StuID IN (SELECT StuID FROM Pets);",
"SELECT AVG(member_count) FROM (SELECT member_count FROM union_members WHERE union_name = 'United Steelworkers' AND country = 'USA') AS employee1, UNION_members WHERE union_name = 'United Steelworkers' AND country = 'UK' AS employee2;",
"SELECT \"Position\" FROM table_2_17694624_2 WHERE \"Player\" = 'tomasz kie\u0142bowicz'",
"SELECT \"Air_Date\" FROM \"TV_series\" WHERE \"Episode\" = 'A Love of a Lifetime'",
"SELECT location, AVG(area_ha) FROM urban_agriculture_initiatives WHERE area_ha > 0.5 GROUP BY location;",
"SELECT \"Fastest Lap\" FROM table_1_26920192_5 WHERE \"Winning Driver\" = 'giorgio sanna'",
"SELECT SUM('GlobalPloshchadKvadratov') FROM news_readership WHERE countryCode = 'AFG' AND countryCode = 'NLD'",
"SELECT name FROM species WHERE population > (SELECT AVG(grow) FROM protected_areas WHERE id = id);",
"SELECT \"2009\" FROM table_2_16741821_7 WHERE \"2012\" = 'statistics by surface'",
"SELECT Template_TypeDescription FROM RefTemplate_Types WHERE Template_TypeCode = 'PPT'",
"SELECT SUM(CASE WHEN region_id = 1 THEN 1 ELSE 2 END) as workable_incidents, COUNT(CASE WHEN region_id = 1 THEN 1 ELSE 2 END) as workable_incidents, 2020-01-01 as start_of_workable_in_s1",
"SELECT AVG(\"Year\") FROM table_2_1236063_3 WHERE \"Chassis\" = 'Belanger Motors'",
"SELECT student_enrolment_id FROM Student_Enrolment_Courses WHERE student_id = student_enrolment_id::text() LIMIT 1;",
"SELECT state, COUNT(*) FROM complaints WHERE service = 'mobile' AND state = 'California' GROUP BY state;",
"SELECT \"Partner\" FROM table_2_1547567_4 WHERE \"Opponents in Final\" = '6\u20132, 6\u20133'",
"SELECT model_list.Model, SUM(model_list.MilesPerGallon) FROM model_list WHERE country = 'russia' GROUP BY model_list.Model",
"SELECT name FROM contacts WHERE sector = 'refugee support';",
"SELECT \"Opponent\" FROM table_1_24786958_2 WHERE \"Final score\" = '30701' AND \"Opponent\" = 'Rheinstadion'",
"SELECT airline.name FROM 'flights' WHERE 'flights' IS NOT NULL GROUP BY 'airlines' ORDER BY COUNT('flights') DESC;",
"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 \"Surface\" = 'clay' AND \"Surface\" = '18 April 2011'",
"SELECT visitors FROM visitor WHERE age > 30",
"SELECT AVG(length) FROM routes WHERE type = 'Light Rail';",
"SELECT \"Driver\" FROM table_2_17256038_1 WHERE \"Laps\" = '5' AND \"Laps\" > '0'",
"SELECT MIN(likes.liked_id) FROM Likes WHERE likes.liked_id IS NOT NULL AND student_id NOT IN (1, 2, 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, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 201",
"SELECT continent, SUM(tourist_id) FROM international_tourists WHERE country = 'Portugal' GROUP BY continent;",
"SELECT \"Cytoplasm\" FROM table_1_13570_1 WHERE \"Nucleic acids\u2014blue ER (endoplasmic reticulum)\u2014blue\" = 'test'",
"SELECT \"killed\" as max_deaths, \"killed\" as min_deaths from death where \"caused_by_ship_id\" = '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1' + '1'",
"SELECT SUM(reported) FROM measles_reports WHERE location = 'Brazil' AND year = 2014;",
"SELECT \"County\" FROM table_2_16489766_8 WHERE \"Pinyin\" = 't\u0101ix\u012bn'",
"SELECT MAX('18_49_Rating_Share') FROM \"TV_series\" WHERE \"Channel\" = 'Sky Famiglia' UNION ALL SELECT '18_49_Rating_Share' FROM \"TV_series\" WHERE \"Channel\" = 'Sky Famiglia' UNION ALL SELECT '18_49_Rating_Share' FROM \"TV_series\" WHERE \"Channel\" = 'Sky Rock'",
"SELECT SUM(amount) FROM climate_finance_projects WHERE 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, last_name, last_name as name, last_name as name, last_name as name, last_name as name FROM `Dogs` WHERE `email_address` IS NOT NULL",
"SELECT name FROM union_members WHERE member_count > 5000",
"SELECT \"Wins\" FROM table_2_1861463_2 WHERE \"Year\" = '1979' AND \"Class\" = '500cc'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" IS NOT NULL UNION SELECT \"model_list\" FROM \"model_list\" WHERE \"Model\" IS NOT NULL",
"SELECT SUM(Cost) FROM SupportPrograms WHERE Region = 'West';",
"SELECT directed_by FROM table_1_16617011_1 WHERE \"Directed by\" = '15.15'",
"SELECT \"Production_code\", \"Channel\" FROM \"Cartoon\" WHERE \"Hight_definition_TV\" = '1' AND \"Hight_definition_TV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1",
"SELECT SUM(savings) FROM WaterConservationInitiatives_Rio WHERE year = 2019",
"SELECT \"1st leg\" FROM table_2_16218722_2 WHERE \"2nd leg\" = '2\u20130'",
"SELECT \"18_49_Rating_Share\", \"6.94\", \"61.0\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6.75\", \"6",
"SELECT SUM(total_supply FROM crypto_supply WHERE coin IN ('Bitcoin', 'Ethereum');",
"SELECT \"Location of the Church\" FROM table_1_178408_1 WHERE \"Church Name\" = 'Bremanger'",
"SELECT MAX(CASE WHEN created > '2022-03-09' THEN created ELSE '2022-03-09' END) FROM \"VOTES\" WHERE \"contestant_name\" = 'kurt walser'",
"SELECT StudentName, RequestDate, ApprovalStatus FROM AccommodationRequests WHERE RequestDate >= '2021-01-01';",
"SELECT \"Away team\" FROM table_2_17437287_2 WHERE \"Readership\" = '15'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Birth_Year\" < '1945'",
"SELECT SUM(income), SUM(expenses) FROM FinancialWellbeingPrograms WHERE country = 'Australia'",
"SELECT \"UU-USU score\" FROM table_1_13665809_2 WHERE \"BYU-USU score\" = '5' UNION SELECT \"UU-USU score\" FROM table_1_13665809_2 WHERE \"BYU-USU score\" = '5'",
"SELECT \"title\" FROM \"TV_series\" WHERE \"Channel\" = 'Sky Radio'",
"SELECT AVG(energy_output) FROM renewable_energy WHERE energy_type = 'Wind';",
"SELECT \"TFL-Yds\" FROM table_1_15128839_22 WHERE \"No-Yds\" = '1-0'",
"SELECT \"people\" FROM \"people\" WHERE \"people\" \"Nationality\" = \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\" \"people\"",
"SELECT city FROM ethical_ai_topics WHERE conference_id = (SELECT conference_id FROM ethical_ai_topics WHERE conference_id IN (SELECT title FROM ethical_ai_topics WHERE title LIKE 'Ethical AI in ...' AND conference_id = id))",
"SELECT \"Year\" FROM table_2_17817954_1 WHERE \"Champion\" = 'ilie n\u0103stase' AND \"Runner-up\" = 'peter fleming'",
"SELECT student_id FROM friend WHERE student_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20) GROUP BY student_id HAVING student_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))",
"SELECT OCEAN, AVG(AVERAGEDepth) FROM OCEANDEPTHS WHERE AVERAGEDepth > 3000 GROUP BY OCEAN;",
"SELECT \"Years participated\" FROM table_1_1571238_2 WHERE \"Team\" = 'notre dame'",
"SELECT COUNT(DISTINCT Template_TypeCode) FROM Document_Templates WHERE Document_Templates.document_Templates_Parent IS NOT NULL GROUP BY Template_Types.Code;",
"SELECT dapp_name, dapp_category, dapp_platform, developer_id, SUM(dapp_category) OVER (ORDER BY dapp_category DESC) * 100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Volume:Issue\" FROM news_readership WHERE \"Artist\" = 'elton john' AND \"Weeks on Top\" = '4' AND \"Country\" = 'india'",
"SELECT \"CountryCode\", \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'es' UNION SELECT \"CountryCode\", \"Language\" FROM country WHERE \"CountryCode\" = 'es'",
"SELECT City, SUM(WorkoutID) FROM Workouts GROUP BY City ORDER BY SUM(WorkoutID) DESC LIMIT 3",
"SELECT \"Location\" FROM table_1_262481_2 WHERE \"Nashville, Tennessee\" = 'Fisk University'",
"SELECT \"Birth_Year\" as \"Birth Year\" from \"singer\" where \"Singer_ID\" = 1",
"SELECT species, SUM(volume) FROM timber_production WHERE year = 2000 GROUP BY species ORDER BY SUMVolume DESC, Volume DESC;",
"SELECT \"Year\" FROM table_1_2199290_2 WHERE \"Partner\" = 'Wesley Moodie'",
"SELECT countryCode, 'English', 'F', 'G', 'I', 'K', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', '",
"SELECT SUM(Biomass) FROM Farm WHERE WaterTemperature > 25",
"SELECT \"Partner\" FROM table_2_15272585_7 WHERE \"Opponent\" = ' micha\u00eblla krajicek katarina srebotnik '",
"SELECT \"tourney_date\" as \"year\", \"tournaments\" as \"tours\", \"tournaments\" as \"tours\", \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"tournaments\" as \"t",
"SELECT COUNT(name) FROM renewable_count WHERE location = 'Country R';",
"SELECT \"Venue\" FROM table_2_10775038_9 WHERE \"Home team\" = 'collingwood'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'AFG' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND \"CountryCode\" = 'NLD' AND",
"SELECT AVG(weight) FROM LunchMenu WHERE ingredients LIKE '%local%';",
"SELECT \"Departure\" FROM table_2_14313164_2 WHERE \"Station Code\" = 'kpc'",
"SELECT reverse(s) FROM \"Transcript_Contents\" WHERE \"student_course_id\" = 2",
"SELECT SUM(price) FROM Artworks WHERE artist_name = 'Gustav Klimt' AND period = 'Art Nouveau';",
"SELECT \"Player\" FROM table_2_1013129_6 WHERE \"NHL team\" = 'Philadelphia Flyers'",
"SELECT \"CountryCode\", \"Name\", \"GDPP\", \"GDPM\", \"GDPN\", \"GFP\", \"GGS\", \"GGSN\" FROM \"country\" WHERE \"CountryCode\" = 'afg' INTERSECT SELECT \"CountryCode\", \"Name\", \"Leader\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'afg'",
"SELECT SUM(fair_trade) FROM products",
"SELECT \"Apps\" FROM table_2_1399716_2 WHERE \"Country\" = 'Brazil' AND \"Club\" = 'internazionale'",
"SELECT \"teacher\" FROM \"teacher\" WHERE \"teacher\" = 'John Deloor'",
"SELECT SUM(amount) FROM oceanographic_research_grants",
"SELECT \"Home team score\" FROM table_2_10784349_1 WHERE \"Venue\" = 'princes park'",
"SELECT s.state FROM (SELECT s.state FROM (SELECT * FROM charges WHERE charges.treatment_type_code = 'WALK' AND charges.dog_id IS NOT NULL) AS ch, owners WHERE owners.treatment_type_code = 'WALK' AND owners.treatment_type_description = 'Vaccination' AND owners.first_name = 'Nora' AND owners.last_name = 'Haley' GROUP BY owners.first_name, owners.last_name) GROUP BY s.state HAVING s.state = '1111-1111' UNION ALL SELECT s.state FROM (SELECT * FROM charges WHERE charges.treatment_type_code = 'WALK' AND charges.dog_id IS NOT NULL) AS ch, owners WHERE owners.treatment_type_code = 'WALK' AND owners.treatment_type_description = 'Vaccination' AND owners.first_name = 'Nora' AND owners.last_name = 'Haley' GROUP BY owners.first_name, owners.last_name) GROUP BY s.state HAVING sstate = '1111-1111' UNION ALL SELECT * FROM (SELECT * FROM charges WHERE charges.treatment_type_code = 'WALK' AND charges.dog_id IS NOT NULL) AS ch, owners WHERE owners.treatment_type_code = 'WALK' AND owners.treatment_type_description = 'Vaccination' AND owners.first_name = 'Nora' AND owners.last_name = 'Haley' GROUP BY owners.first_name, owners.last_name)",
"SELECT news_id, word_count, date_part('week', publish_date) OVER (ORDER BY news_id) as week, sum(word_count) as total_word_count FROM news_readership WHERE news_id IN (1, 2, 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",
"SELECT \"Venue\" FROM table_2_1670921_2 WHERE \"Batting team\" = 'west indies'",
"SELECT AVG(stu.age) FROM Student stu WHERE NOT stu.stu_id IN (SELECT pet_id FROM Pets WHERE pet_type = 'dog' OR pet_type = 'cat' OR pet_type = 'fish' OR pet_type = 'bird' OR pet_type = 'dog' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = 'koala' OR pet_type = '",
"SELECT AVG(age) FROM Artists WHERE name = 'Picasso'",
"SELECT \"Date\" FROM table_2_16864968_8 WHERE \"Record\" = '31\u201332\u201313' AND \"Attendance\" > '19,356'",
"SELECT model FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86,",
"SELECT visitors FROM tourism_stats WHERE destination = 'Australia' AND year = 2018",
"SELECT \"Rank\" FROM table_1_24431264_17 WHERE \"New points\" = '900'",
"SELECT MAX(Dogs.age) FROM Dogs WHERE dog_id IN (1)",
"SELECT AVG(rating) FROM hotels WHERE name = 'Hotel C' AND virtual_tour = true;",
"SELECT \"Date\" FROM table_2_1200987_2 WHERE \"Result\" = '3-1'",
"SELECT AVG(weight) FROM cars_data WHERE country_id = (SELECT Continent FROM cars_data WHERE CountryId = 'uk' AND Continent = 'uk');",
"SELECT contributor, min(recycling_rate) FROM waste_contributors WHERE recycling_rate < 0.35 GROUP BY contributor ORDER BY min(recycling_rate) LIMIT 3",
"SELECT \"Team\" FROM table_1_28628309_8 WHERE \"Category\" = 'blocks per game'",
"SELECT \"Country\" FROM \"TV_series\" WHERE \"Hight_definition_TV\" = '16:9' AND \"Hight_definition_TV\" != '6.0' UNION ALL SELECT \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" != '6.0' UNION ALL \"Country\" FROM \"",
"SELECT AVG(carbonfootprint) FROM manufacturers WHERE region_id IN (1, 2, 3, 4, 5) GROUP BY region_id;",
"SELECT \"Year\" FROM table_2_10539018_1 WHERE \"Champion\" = 'marcel granollers'",
"SELECT country, \"CountryCode\" as Code, \"Population\" as Population, \"GDP\" as GDP, \"GDPP\" as GDP, \"Gnpe\" as Gn, \"GnpeP\" as Gn, \"GnpePp\" as Gn, \"GnpePpP\" as Gn, \"GnpePpPp\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpePpPpP\" as Gn, \"GnpeP",
"SELECT SUM(participants) FROM employeeTraining_pacific WHERE training = 'Disability Awareness';",
"SELECT \"Score\" FROM table_2_18285768_11 WHERE \"Date\" = '11 september 2010'",
"SELECT name FROM \"poker_player\" WHERE \"Earnings\" > \"104871\" 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 'flights' WHERE 'AKR' = 'AKO'",
"SELECT name, capacity FROM Warehouses WHERE capacity > 0",
"SELECT \"Time ( ET ) \" FROM table_1_14477002_1 WHERE \"vs \" \"vs \" \"Cincinnati \" \"Cincinnati \" \"Bengals\" \"Bengals\" \"12:30pm\" \"12:30pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"10:59pm\" \"",
"SELECT Template_Type_Code, Template_Details, * FROM RefTemplate_Types WHERE Template_TypeCode IS NOT NULL",
"SELECT therapy, MAX(therapy) FROM patients WHERE patient.name = 'David' GROUP BY therapy ORDER BY therapy DESC LIMIT 1;",
"SELECT \"Timeslot\" FROM table_1_27987623_3 WHERE \"Order\" = '1'",
"SELECT AVG(caused_by_ship_killed) FROM death WHERE killed > 0 GROUP BY killed;",
"SELECT SUM(Revenue) FROM Revenue WHERE Practice = 'Ethical Labor' AND Country = 'South America';",
"SELECT \"Driver\" FROM table_2_1122092_1 WHERE \"Laps\" > '35' AND \"Constructor\" = 'ferrari'",
"SELECT \"Singer_ID\" as \"Singer_ID\", \"Citizenship\" as \"Citizenship\" as \"Number_of_Singers_Citizenship\" as \"Number_of_Singers_Citizenship\" as \"Number_of_Singers_Citizens\" as \"Number_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_Singers_Citizens\" as \"Country_of_S",
"SELECT SUM(v.type) FROM sales_regions v INNER JOIN sales s ON v.id = s.id WHERE v.name = 'California' AND 'type' = 'Electric';",
"SELECT \"Date\" FROM table_1_13258823_2 WHERE \"Record\" = '1-0'",
"SELECT COUNT(CountryId) FROM \"car_makers\" WHERE \"Maker\" = 'Fiat' AND \"Country\" = 'russia'",
"SELECT AVG(water_consumption / population) FROM (SELECT water_consumption, AVG(population) AS population FROM (SELECT water_consumption, AVG(population) AS population FROM (SELECT water_consumption, AVG(population) AS population FROM (SELECT year, city, population FROM asia_water_consumption WHERE year = 2019 GROUP BY year, city) AS water_consumption WHERE year = 2019) AS water_consumption WHERE population = 7000000000) AS water_consumption) AS population WHERE population = 1200000000",
"SELECT \"Gold\" + \"Silver\" FROM table_2_18164300_3 WHERE \"Gold\" + \"Silver\" > '1' AND \"Rank\" < '1'",
"SELECT \"countryname\" FROM \"car_makers\" WHERE \"car_makers\" > 3 UNION BY 'model' FROM \"model_list\" WHERE \"car_makers\" > '3'",
"SELECT SUM(capacity) FROM renewable_energy WHERE TaxedCountry = 'Canada' AND TaxedCountry IN 'Chile' AND TaxedCountry IN 'Chile' AND TaxedCountry IN 'Colombia' AND TaxedCountry IN 'United States';",
"SELECT \"Score\" FROM table_2_16802194_2 WHERE \"Losing Team\" = 'sydney roosters' AND \"Total\" = '88'",
"SELECT MAX(\"Year\") FROM concert",
"SELECT AVG(safety_score) FROM chemical_plants WHERE location = 'US-CA' GROUP BY location;",
"SELECT \"Result\" FROM table_1_14302582_1 WHERE \"Record\" = '4-1'",
"SELECT student_id FROM friend WHERE student_id IS NOT NULL GROUP BY student_id;",
"SELECT vendor, AVG(price) FROM sales WHERE salesVendor = 'Seafood Haven' GROUP BY vendor ORDER BY AVG(price) DESC LIMIT 1;",
"SELECT MIN(\"Rank\") FROM table_2_18229846_1 WHERE \"117,201\" = \"117,201\" AND \"22\" = \"22\"",
"SELECT \"CountryCode\", \"Name\", \"IndepYear\", \"SurfaceArea\" FROM country WHERE \"IndepYear\" = '0' INTERSECT SELECT \"CountryCode\", \"Name\", \"GDPPerCapita\" FROM country WHERE \"GDPPerCapita\" = '0'",
"SELECT COUNT(*) FROM FoodSafetyRecords WHERE RecordID = 1;",
"SELECT \"City\" FROM table_2_1083851_3 WHERE \"2011\u201312 season\" = '2nd' AND \"2011\u201312\" = 'Lega Pro Seconda Divisione A'",
"SELECT \"StuID\", \"pet_age\", \"age\" FROM \"Student\" WHERE \"StuID\" IS NOT NULL AND \"PetID\" IS NOT NULL",
"SELECT SUM(weight FROM shipments WHERE origin = 'Canada' AND destination = 'United States' AND shipped_at >= '2021-01-01' AND shipped_at < '2021-01-02';",
"SELECT \"Kit manufacturer\" FROM table_2_1269274_1 WHERE \"Shirt sponsor\" = 'walkers'",
"SELECT AVG('GDP') FROM `countrylanguage` WHERE `CountryCode` = 'AFG' UNION ALL SELECT 'GDP' FROM `countrylanguage` WHERE `CountryCode` = 'NLD' UNION ALL SELECT 'GDP' FROM `countrylanguage` WHERE `CountryCode` = 'NLD'",
"SELECT MAX(score FROM scores;",
"SELECT \"Grid\" FROM table_1_20159025_1 WHERE \"Part 3\" = '3' AND \"Driver\" = 'heikki kovalainen'",
"SELECT \"CountryCode\" FROM countrylanguage WHERE \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"",
"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(weight, AVGspeed, AVGaccelerate, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVGheight, AVG",
"SELECT org, SUM(patent_count) FROM innovation_patents GROUP BY org;",
"SELECT \"Written by\" FROM table_1_2453243_5 WHERE \"Production code\" = '48'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_maker' AND \"Maker\" = 'car_m",
"SELECT AVG(safety_rating) FROM creative_ai",
"SELECT MAX(\"Crowd\") FROM table_2_10773616_3 WHERE \"Venue\" = 'Windy Hill'",
"SELECT \"high schooler\" FROM \"Highschooler\" WHERE \"high schooler\" = '1'",
"SELECT MAX(property_price) FROM sustainable_communities;",
"SELECT AVG(\"Rank\") FROM table_2_12433325_1 WHERE \"Source\" = 'CIA World Factbook' AND \"Year\" < '2005'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Citizenship\" = 'India' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Citizenship\" = 'Argentina'",
"SELECT SUM(population) FROM marine_species WHERE name LIKE 'Shark%'",
"SELECT \"Broadcast network\" FROM table_1_21076286_2 WHERE \"Broadcast scope\" = 'Chiba Prefecture'",
"SELECT MAX('date_left') FROM \"Transcript_Contents\" WHERE \"student_course_id\" = '1'",
"SELECT metric FROM ReverseLogistics WHERE date >= '2023-01-01' AND date <= '2023-01-05'",
"SELECT \"City of License\" FROM table_2_12525402_1 WHERE \"Founded\" = 'may 1995'",
"SELECT \"airline\", \"country\" FROM news_readership WHERE country = 'United States' INTERSECT SELECT \"airline\", \"country\" FROM news_readership WHERE \"airlines\" IS NOT NULL GROUP BY \"airline\" ORDER BY \"country\" LIMIT 1",
"SELECT AVG(amount) FROM budget WHERE fiscal_year BETWEEN 2019 AND 2021 GROUP BY category;",
"SELECT \"Location Attendance\" FROM table_1_23281862_5 WHERE \"Record\" = 'memphis'",
"SELECT \"contestant_name\" FROM \"CONTESTANTS\" WHERE \"contestant_number\" >= 2 GROUP BY \"contestant_name\"",
"SELECT country, COUNT(program) FROM community_education GROUP BY country;",
"SELECT \" BTs retail price (regulated)\" FROM news_readership WHERE \"Prefixes\" = '2.553p/call, fixed at all times'",
"SELECT MIN(\"Earnings\") FROM \"people\" WHERE \"Earnings\" > \"0\"",
"SELECT AVG(sales_amount) FROM sales_by_time WHERE item_id = 1",
"SELECT \"Drawn\" FROM table_2_12886178_5 WHERE \"Club\" = 'senghenydd rfc'",
"SELECT \"hiring\" FROM \"employee\" WHERE \"Manager_name\" IS NOT NULL GROUP BY \"hiring\" ORDER BY \"hiring\" DESC;",
"SELECT AVG(investment_amount) FROM investment_regions WHERE region = 'Asia';",
"SELECT \"Chinese name\" FROM table_1_24856090_1 WHERE \"Peak\" = '1.97 million'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Song_Name\" = 'Hey'",
"SELECT SUM(playtime) FROM game_platforms WHERE playtime > 20",
"SELECT \"Losing bonus\" FROM table_2_13564637_3 WHERE \"Losing bonus\" IS NOT NULL GROUP BY \"Losing bonus\" ORDER BY \"Losing bonus\" DESC LIMIT 1;",
"SELECT MIN('date_left') as earliest_date_left, 'other_details' as other_details_details_details, 'other_student_details' as other_details_details_details, 'otherStudentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details_details_details, 'otherStudentEnrolmentDetails' as other_details",
"SELECT country, SUM(production) FROM Europe_Aquaculture_Farms GROUP BY country;",
"SELECT \"News Freq\" FROM table_2_18992167_1 WHERE \"Time\" = '60 minutes'",
"SELECT name FROM friend WHERE student_id IN (1, 2, 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, 75, 76, 77, 78, 79, 80, ",
"SELECT in_service FROM electric_trams WHERE service_date = '2021-01-01';",
"SELECT \"Round\" FROM table_2_10663439_2 WHERE \"Date\" = 'may 31'",
"SELECT countryName FROM \"car_makers\" WHERE \"Country\" IS NOT NULL GROUP BY \"Country\" ORDER BY COUNT(\"MPG\") DESC LIMIT 1",
"SELECT SUM(NumberOfGames) FROM GameDesigners WHERE Gender = 'Non-binary'",
"SELECT \"RANK\" FROM table_2_15551831_1 WHERE \"NAME\" = 'Peter Schmeichel'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" = 'LilianeBettencourt' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'ChristyWalton' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'GinaRinehart' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'JacquelineMars' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'SusanneKlatten' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'GinaRinehart' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'ChristyWalton' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'AbigailJohnson' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'LilianeBettencourt' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'F**kIt' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'Cher' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'GinaRinehart' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'Christy' UNION SELECT \"singer\" FROM \"singer\" WHERE \"Name\" = 'JacquelineM' UNION SELECT \"singer",
"SELECT product_name, MIN(total_sales) FROM korean_products WHERE site_safety_score IS NOT NULL GROUP BY product_name;",
"SELECT \"1. vs 2.\" FROM table_2_1792861_21 WHERE \"Total\" > '28' AND \"2. vs 3.\" THEN \"1. vs 2.\" FROM table_2_1792861_21 WHERE \"Total\" > '28' AND \"2. vs 3.\" THEN \"1. vs 2.\"",
"SELECT AVG(r.winner_rank) FROM (SELECT r.winner_rank_points FROM (SELECT r.winner_rank_points, r.winner_rank, r.winner_id, r.winner_id, r.winner_date, r.winner_name, r.winner_rank, r.winner_id, r.winner_id, r.winner_date, r.winner_name, r.winner_rank, r.winner_rank, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r.winner_id, r",
"SELECT SUM(investments.investment_amount) FROM investments INNER JOIN investments.investors ON investments.investors.id = investments.investment_year WHERE investments.investors.country = 'Canada' AND investments.investors.investment_year = 2020;",
"SELECT \"Transfers\" FROM table_2_1249707_1 WHERE \"Transfers\" = '36.5' AND \"Station Name\" = 'Guangximen'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Template_TypeCode IS NOT null GROUP BY Template_TypeCode ORDER BY COUNT(DISTINCT DocumentName) DESC LIMIT 1",
"SELECT category, SUM(project_cost) FROM Projects GROUP BY category;",
"SELECT \"Plan name\" FROM table_2_12837399_1 WHERE \"Maximum download speed/ kbps \" = '300, 500, 750, 1000'",
"SELECT AVG(people) as avg_capacity, MAX(people) as max_capacity FROM (SELECT MAX(Capacity) as max_capacity FROM \"stadium\" WHERE \"Country\" = 'India' UNION ALL SELECT MAX(Capacity) as max_capacity FROM \"stadium\" WHERE \"Country\" = 'Argentina') as \"people\") as \"people\"",
"SELECT year, SUM(disability) as total_disability, SUM(Discrimination) as total_r, SUM(Discrimination) as total_r1 FROM students WHERE disability = true GROUP BY year, sum(Discrimination);",
"SELECT \"Users (#)\" FROM table_1_20018310_1 WHERE \"Tareas (15.9 tareas = 1 ha)\" AND \"Country\" = 'Nisibon-Yuma' WHERE \"Country\" = 'El Salvador'",
"SELECT model FROM car_makers WHERE Model LIKE '1%%';",
"SELECT species, AVG(water_temperature) FROM fish_tanks GROUP BY species;",
"SELECT \"U.S. viewers (millions)\" FROM table_1_234558_1 WHERE \"Production Code\" = '1.370'",
"SELECT \"high schooler\" FROM \"Highschooler\" WHERE \"high schooler\" = '1'",
"SELECT name, SUM(donation_amount) FROM nonprofits WHERE program = 'Education' AND program = 'Health' GROUP BY name;",
"SELECT \"Game\" FROM news_readership WHERE \"Team\" = 'Chicago'",
"SELECT conductor.name FROM conductor WHERE conductor.name LIKE 'Pierre' + '%';",
"SELECT MIN(transactionAmount FROM transactions WHERE asset_id = 'ETH'",
"SELECT \"Nationality\" FROM table_2_10560886_3 WHERE \"Position\" = 'Forward' AND \"Year\" > '2005'",
"SELECT AVG(lonerhtht) FROM (SELECT \"tours\" FROM \"tournaments\" WHERE \"tourney_date\" IS NOT NULL) AS \"tournaments\" WHERE \"tournaments\" IS NOT NULL;",
"SELECT college_name, gender, SUM(faculty_id) FROM faculty WHERE faculty_id IN (1, 2, 3) GROUP BY college_name, gender;",
"SELECT \"Song choice\" FROM table_1_15383430_1 WHERE \"Result\" = 'sung'",
"SELECT friend_id FROM friend WHERE friend_id IN (1501, 1661, 1641, 12, 1025, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12",
"SELECT facility_name, safety_officer_email FROM facilities WHERE facility_name LIKE 'Facility C%';",
"SELECT \"Position\" FROM table_1_16575609_5 WHERE \"College\" = 'Laurent Lavigne' AND \"College\" = 'Laurent Lavigne' AND \"Player\" = '34'",
"SELECT \"Museum_ID\", \"Name\", \"Num_of_Ticket\", \"Total_spent\" FROM \"visit\" WHERE \"Museum_ID\" IN (1, 2, 3, 4, 5, 6, 7, 8) GROUP BY \"Museum_ID\" HAVING \"Num_of_Ticket\" > '1'",
"SELECT region, plan, COUNT(*) FROM mobile_subscribers GROUP BY region, plan;",
"SELECT MIN(\"8-car sets\") FROM table_1_19255192_1 WHERE \"4-car sets\" = '47'",
"SELECT student_id, friend_id, friend_id, friend_id - friend_id * 100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT country, amount * 0.000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Round\" FROM table_2_14323142_16 WHERE \"Position\" = 'ro'",
"SELECT \"CountryCode\", \"GDPP\", \"GnPOld\", \"GnPEv, 'GnPv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPEv, 'GnPE",
"SELECT SUM(steps) FROM DailySteps WHERE user_id = 1;",
"SELECT \"Position\" FROM table_2_15149189_6 WHERE \"Country\" = 'India' AND \"Player\" = 'alun wyns'",
"SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" IS NOT NULL",
"SELECT asset_id, SUM(CASE WHEN vulnerability_id THEN 1 ELSE 0 END) as total_vulnerability_count FROM vulnerabilities GROUP BY asset_id;",
"SELECT \"Lead\" FROM table_2_16774316_1 WHERE \"Season\" = '2004-05'",
"SELECT \"Document_ID\" FROM Documents WHERE \"Document_Details\" IS NOT NULL GROUP BY \"Document_Details\" ORDER BY \"Document_Details\" LIMIT 1",
"SELECT SUM(engaged_in_sustainable_tourism) FROM visitors WHERE year = 2020;",
"SELECT \"Institution\" FROM table_1_1974632_1 WHERE \"Location\" = 'glenside, pennsylvania'",
"SELECT \"teacher\" as \"Teacher_Name\", \"Age\" as \"Age\", \"Number_of_Courses\" as \"Number_of_Courses\" FROM \"teacher\" WHERE \"Teacher_ID\" > '17'",
"SELECT species, quantity FROM FarmB WHERE country = 'Canada'",
"SELECT \"2012\" FROM table_2_15209530_6 WHERE \"2012\" = 'us open'",
"SELECT Template_Type_Code, Template_TypeDescription, DocumentType, DocumentTypeCode FROM Document_Types WHERE Document_Name = 'Ref_Template_Types' GROUP BY Document_Name, DocumentType, DocumentTypeCode ORDER BY SUM(DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * DocumentTypeCode * Document",
"SELECT policy_id, sum_insured FROM policy_info WHERE sum_insured < 60000 AND gender = 'Female'",
"SELECT \"Winner\" FROM table_2_113663_2 WHERE \"Win #\" > '3'",
"SELECT 'car_makers' FROM \"car_makers\" WHERE \"Country\" = 'United States'",
"SELECT AVG(age) FROM events WHERE type = 'Family Workshop'",
"SELECT \"Date of appointment\" FROM table_2_16075179_6 WHERE \"Manner of departure\" = 'resigned' AND \"Replaced by\" = 'sandy clark'",
"SELECT Orchestra_ID, Orchestra_Name, Record_Company FROM Orchestra WHERE Orchestra_ID = 8 UNION BY Name ORDER BY Record_Company DESC;",
"SELECT name, sum(resource - sum depletionresource FROM mines WHERE depleted_resources > 0 GROUP BY name;",
"SELECT \"Position\" FROM table_2_1577834_1 WHERE \"League\" = 'southern league premier division' AND \"Season\" = '2004\u201305'",
"SELECT channel.PS, channel.PA, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PS as ps, channel.PS as ps, channel.PS as pa, channel.PS as pa, channel.PS as ps, channel.PA as pa, channel.PA as pa, channel.PS as ps, channel.PA as pa, channel.PS as ps, channel.PS as ps, channel.PS as pa, channel.PS as ps, channel.PS as pa, channel.PS as ps, channel.PS as pa, channel.PS as pa",
"SELECT COUNT(exhibition_id) FROM exhibits WHERE year = 1950",
"SELECT \"Make\" FROM table_1_27940569_1 WHERE \"Laps\" = '11' AND \"Driver\" = 'Jeff Gordon'",
"SELECT Template_TypeCode, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details,",
"SELECT Name, Location FROM HeritageSites GROUP BY Location ORDER BY TotalDonations DESC LIMIT 3;",
"SELECT \"Team 2\" FROM table_2_12330040_2 WHERE \"1-1\" = \"Team 1\"",
"SELECT \"CountryCode\", \"GDPP\", \"GDPN\", \"GDPP2010\", \"GDPPN2010\" FROM \"country\" WHERE \"CountryCode\" = 'AFG' INTERSECT SELECT \"CountryCode\", \"GDPP\", \"GDPN\", \"GDPP2010\", \"GDPPN2010\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'AFG'",
"SELECT student_id, COUNT(*) FROM accommodations WHERE accommodation_category = 'Online Learning'",
"SELECT \"Class\" FROM table_2_18620528_6 WHERE \"Year made\" = '1899\u20131900'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" = 'general g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR \"Maker\" = 'g.m.' OR",
"SELECT region, MAX(amount) FROM Budget WHERE category = 'Transportation' GROUP BY region;",
"SELECT \"Comparisons\" FROM table_1_1153898_1 WHERE \"Comparisons\" = 'wireless combo keyboard and mouse support'",
"SELECT weight FROM Has_Pet WHERE PetID = 2003 AND pet_age = 12 AND pet_type = 'dog'",
"SELECT SUM(amount) FROM sales JOIN classes ON sales.class_id = classes.id WHERE classes.name = 'Art Classes';",
"SELECT \"Away\" FROM table_2_17026847_14 WHERE \"Attendance\" = '507'",
"SELECT COUNT(DISTINCT \"Shop_ID\") FROM \"shop\" WHERE \"Shop_ID\" IS NOT NULL GROUP BY \"Shop_ID\";",
"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 \"Country\" = 'us' AND \"CountryAbbrev\" = 'jetblue Airways'",
"SELECT drug_name, sales_amount FROM sales WHERE drug_name = 'Aspirin' AND sales_amount < 1000 AND sale_date = '2022-01-01';",
"SELECT \"Type\" FROM table_2_1653640_2 WHERE \"Capacity\" = '28' AND \"Number\" = '16'",
"SELECT `professional_id`, role_code, `email_address` FROM `Dogs` WHERE `dog_id` IS NOT NULL AND `treatment_type_code` = 'WALK'",
"SELECT assessment_name, rating FROM GeopoliticalRiskAssessments WHERE rating > 7.0 AND assessment_date >= '2020-01-01';",
"SELECT \"Position\" FROM table_2_15677649_2 WHERE \"Year\" < '2012' AND \"Laps\" < '161' AND \"Laps\" < '33'",
"SELECT \"LName\" FROM Student WHERE \"Age\" = 3 AND \"Fname\" = 'sarah'",
"SELECT AVG(rating) FROM Movies WHERE genre = 'Action'",
"SELECT MIN(\"Season #\") FROM table_1_25800134_11",
"SELECT \"Hight_definition_TV\" as \"Hight_definitionTV\" as \"Hight_definitionTV\", \"18_49_RatingShare\" as \"18_49_RatingShare\", \"18_49_RatingShare\" as \"18_49_RatingShare\", \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_Rating\"",
"SELECT SUM(revenue) FROM sponsored_posts WHERE category = 'beauty';",
"SELECT \"Winner\" FROM table_1_20462111_1 WHERE \"Date\" = '01.02.2009' AND \"2nd place\" = '3rd place'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Sales\" > 3000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT SUM(services_provided) FROM legal_aid_services WHERE location = 'Rural Area' AND state = 'California' AND year = 2021",
"SELECT \"Opponent\" FROM table_2_13551983_2 WHERE \"Date\" = 'april 19'",
"SELECT city FROM (SELECT \"City\" FROM \"employee\" WHERE \"Age\" > 30 GROUP BY \"City\" HAVING \"Age\" > 30) GROUP BY \"City\" HAVING \"City\" > 1",
"SELECT AVG(depth FROM oceanography WHERE location = 'Southern Ocean'",
"SELECT MIN(\"Points\") FROM table_2_1618788_2 WHERE \"Year\" = '2004'",
"SELECT \"18_49_Rating_Share\" FROM \"TV_series\" WHERE \"18_49_Rating\" = 'Sky Radio'",
"SELECT AVG(energy_efficiency) FROM project WHERE location = 'Africa'",
"SELECT \"To par\" FROM table_2_17245444_5 WHERE \"Place\" = 't5' AND \"Player\" = 't5'",
"SELECT visitor.Name FROM visitor WHERE visitor.xs0_id IN (18, 2011)",
"SELECT SUM(budget) FROM peacekeeping_operations_africa WHERE year = 2020",
"SELECT \"Guest\" FROM table_2_13883437_2 WHERE \"Venue\" = 'Stadion Prljanije'",
"SELECT concert_Name, theme, COUNT(*) FROM concert WHERE country = 'India' GROUP BY concert_Name, theme;",
"SELECT name FROM strategies WHERE year = 2018",
"SELECT \"First elected\" FROM table_1_2668264_22 WHERE \"Incumbent\" = 'Andrew R. Govan'",
"SELECT \"CountryCode\", \"CountryName\" FROM \"countrylanguage\" WHERE \"CountryCode\" IN ('AFG', 'NLD', 'NOR', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD', 'NLD',",
"SELECT COUNT(*) 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 \"first_name\", \"last_name\" FROM \"players\" WHERE \"birth_date\" IS NOT NULL",
"SELECT (COUNT(vaccinated) * 100.0 / SUM(vaccinated)) FROM population WHERE age > 20 AND location = 'Rural'",
"SELECT MIN(\"Podiums\") FROM table_1_25539502_1",
"SELECT name, age FROM (SELECT name, age FROM employee WHERE age >= 30 ORDER by age) WHERE age >= 30 ORDER BY age;",
"SELECT AVG(co2_emission) FROM emissions WHERE country IN (SELECT country FROM emissions WHERE year >= 2016) GROUP BY country;",
"SELECT MIN(\"Round\") FROM table_2_12161822_4 WHERE \"Grand Prix\" = 'grand prix of india'",
"SELECT \"id\" FROM \"TV_series\" WHERE \"Directed_by\" != 'Ben Jones'",
"SELECT DISTINCT medical_condition FROM AstronautMedical WHERE astronaut_id = 103",
"SELECT \"Date\" FROM table_1_23308178_6 WHERE \"Opponent\" = 'toronto maple leafs'",
"SELECT COUNT(DOCT) FROM \"Professionals\" WHERE professional_id IN (SELECT professional_id FROM \"Dogs\" WHERE owner_id = 1))",
"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 PREPARED'",
"SELECT \"teacher\" FROM \"teacher\" WHERE \"teacher\" > \"teacher\" GROUP BY \"teacher\" HAVING \"teacher\" > \"teacher\"",
"SELECT location, daily_production_rate FROM wells WHERE daily_production_rate > 125",
"SELECT \"Home team score\" FROM table_2_10885968_16 WHERE \"Home team\" = 'footscray'",
"SELECT teacher.name, course.name FROM teacher INNER JOIN course_arrange ON teacher.name = course_arrange.teacher.name WHERE course_arrange \"Teacher\" \"Teacher\" ORDER BY teacher.name;",
"SELECT route, budget FROM routes WHERE city = 'San Francisco' ORDER BY budget;",
"SELECT \"Rank\" FROM table_1_24431264_18 WHERE \"Withdrew due to\" = 'right foot injury'",
"SELECT \"GPE\", \"GNI\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '3' UNION ALL SELECT \"CountryCode\", \"GPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '3' UNION ALL SELECT \"CountryCode\", \"GNI\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '3' UNION ALL SELECT \"CountryCode\", \"GPE\" FROM \"country\" WHERE \"CountryCode\" = '3' UNION ALL SELECT \"GPE\", \"GNI\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '3'",
"SELECT ingredient, quantity FROM inventory WHERE quantity > 0",
"SELECT \"Losing bonus\" FROM table_1_12828723_4 WHERE \"Tries against\" = '439'",
"SELECT 'airline' as abbreviation, 'country' as country from news_readership where country = 'India' and readership = 'fewest' GROUP BY country;",
"SELECT SUM(ticket_price) FROM concert_tickets WHERE timestamp >= '2022-01-01' AND timestamp <= '2022-12-31' AND country = 'United States';",
"SELECT \"Elevator\" FROM table_2_18295097_1 WHERE \"Elector\" = 'matteo orsini rosso'",
"SELECT SUM(Dogs.owner_id) FROM Dogs WHERE NOT owner_id IS NOT NULL;",
"SELECT language FROM IndigenousLanguages WHERE country = 'South America';",
"SELECT \"Term ended\" FROM table_1_224672_2 WHERE \"Term began\" = 'Dec 4, 1978'",
"SELECT \"singer\" FROM concert WHERE \"year\" = '2014'",
"SELECT VesselName FROM Vessels WHERE VesselID NOT IN (1, 2, 3, 4, 5) AND VesselID NOT LIKE '01%';",
"SELECT \"Up/Down\" FROM table_1_2472711_32 WHERE \"Last Year\" = 'up' AND \"Venue\" = 'subiaco oval'",
"SELECT AVG(likes.liked_id) FROM (SELECT student_id, * FROM friend WHERE friend_id = 1247 UNION ALL SELECT student_id, * FROM friend WHERE friend_id = 1501 UNION ALL * FROM friend) AS likes WHERE student_id NOT IN (SELECT student_id FROM highschooler WHERE name LIKE 'Cassandra%')",
"SELECT CoachID, AVG(Wins) OVER (ORDER BY SeasonYear) as avg_wins FROM Coaches GROUP BY CoachID;",
"SELECT MIN(\"Pick#\"), \"MLS team\" FROM table_2_1014145_1 WHERE \"MLS team\" = 'Columbus Crew'",
"SELECT `killed` FROM news_readership WHERE country = 'India' AND topic = 'battle' AND `result` = 'Captured'",
"SELECT supplier_name FROM Suppliers WHERE supplier_id = 3;",
"SELECT \"Team\" FROM table_1_2208838_4 WHERE \"Average\" = '20.4'",
"SELECT COUNT(DISTINCT \"CountryCode\") FROM country WHERE \"CountryCode\" = '10'",
"SELECT SUM(revenue) FROM hotel_operations WHERE hotel_id IN (1, 2) AND ai_operations > 0;",
"SELECT \"Linux\" FROM table_2_1504233_2 WHERE \"Linux\" = 'no' AND \"AmigaOS\" = 'no' AND \"Android\" = 'no'",
"SELECT COUNT(DOCS.treatment_type_description) FROM treatment_types WHERE DOCS.treatment_type_code = 'WALK' AND DOCS.treatment_type_code IS NOT NULL;",
"SELECT type, COUNT(name) FROM species WHERE type LIKE 'Mar' GROUP BY type;",
"SELECT \"Podiums\" FROM table_2_12690577_1 WHERE \"Final Placing\" = '8th' AND \"Podiums\" = '8'",
"SELECT country = 'france' FROM \"car_makers\" WHERE \"Maker\" = 'Fiat'",
"SELECT max_depth FROM ocean_floor_mapping",
"SELECT \"Record\" FROM table_2_13909382_5 WHERE \"Opponent\" = 'Philadelphia Flyers'",
"SELECT \"name\" FROM Highschooler WHERE grade = 10",
"SELECT salesperson_id, SUM(revenue) FROM sales GROUP BY salesperson_id ORDER BY SUM(revenue) DESC;",
"SELECT \"Opponents\" FROM table_2_15234969_5 WHERE \"Year\" < '2008' AND \"Year\" = '2008'",
"SELECT student_id FROM friend WHERE friend_id IN (1911, 1661, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247, 1247",
"SELECT artist_name FROM Artworks WHERE gallery_name = 'Impressionist Gallery';",
"SELECT \"Production code\" FROM table_1_2453243_4 WHERE \"Title\" = 'sheep thrills'",
"SELECT \"FinalTable_Made\" as \"FinalTable_Made\", \"Best_Finish\" as \"Best_Finish\" FROM \"people\" WHERE \"People_ID\" = '1' UNION all SELECT \"FinalTable_Made\" as \"FinalTable_Made\", \"Best_Finish\" as \"Best_Finish\" FROM \"people\" WHERE \"People_ID\" = '6'",
"SELECT num_tourists FROM destinations_2021 WHERE num_tourists > 1800 UNION SELECT num_tourists FROM destinations_2022 WHERE num_tourists > 1700",
"SELECT \"Date\" FROM table_2_167446_1 WHERE \"Nationality\" = 'uk' AND \"Displacement\" = '5,145 t' AND \"Type\" = 'freighter'",
"SELECT \"student_id\" FROM \"Friend\" WHERE \"student_id\" = '1661'",
"SELECT COUNT(*) 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 \"Highschooler\" WHERE \"student_id\" > 100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT AVG(rating) FROM virtual_tours WHERE country = 'Indonesia' AND quarter = 'Q2';",
"SELECT \"Writer\" FROM table_1_27846511_1 WHERE \"Viewers (millions)\" = '5000000'",
"SELECT state FROM Owner_Peoples WHERE professional_id IS NOT NULL",
"SELECT name FROM Dams WHERE reservoir = 'Lake Mead'",
"SELECT \"No. in season\" FROM table_1_26168687_5 WHERE \"Vessel Operator\" = 'Beluga Shipping'",
"SELECT AVG(\"Earnings\") FROM \"poker_player\";",
"SELECT name, sum(affordable_housing) / sum(total_housing as ratio, sum(total_housing as total_housing, sum_housing as unit_housing, sum_housing - sum(housing) as unit_housing - sum(housing) as unit_housing - sum(housing) as unit_housing + sum(housing) as unit_housing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(hhousing) as unit_hhousing + sum(h",
"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 \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" > '2'",
"SELECT AVG(order_quantity) FROM order_items WHERE material_id IN (1, 2) GROUP BY material_id;",
"SELECT \"Record\" FROM table_1_23624542_4 WHERE \"Date\" = 'Sept 22'",
"SELECT first_name FROM Student_Enrolment_Courses WHERE student_id = 1000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"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 grade = '10' 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 peoplePNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPN",
"SELECT TransactionStatus, TransactionDate, WarehouseName FROM WarehouseManagementTransactions WHERE WarehouseID = 3;",
"SELECT \"Post-1009 province\" FROM table_2_160510_2 WHERE \"Post-1009 province\" = 'Gongju'",
"SELECT \"major\", \"age\" FROM \"Student\" WHERE \"age\" IS NOT NULL AND \"sex\" = 'F'",
"SELECT facility_id, date, AVG(waste_amount) OVER (ORDERED window=6) as moving_avg FROM facility_waste WHERE facility_id = ' facility_waste facility_id' GROUP BY facility_id, date;",
"SELECT \"company name\" FROM news_readership WHERE \"country\" = 'India' AND \"company name\" = 'Nokia Corporation' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'Summit Tech Multimedia Communications Inc.' AND \"company name\" = 'Nokia Corporation' AND \"company name\" = 'Summit Tech Communications' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'Summit Tech Multimedia Communications Inc.' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'Summit Tech Communications' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'Nokia 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name\" = 'N N 700' AND \"company name",
"SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IN (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, 75, 76, 77, 78, 79, 80,",
"SELECT player, MAX(Hits) FROM single_game_homeruns WHERE Team = 'Boston' GROUP BY Player;",
"SELECT \"Seine-Saint-Denis\" FROM table_2_1716427_2 WHERE \"Paris\" = '12.1%'",
"SELECT Template_Type_Code, 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT",
"SELECT SUM(total_capacity 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 \"GPE\", \"GPE\", \"GPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '11' AND \"CountryCode\" = '11' UNION ALL SELECT \"GPE\", \"GPE\", \"F\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '11' AND \"CountryCode\" = '11';",
"SELECT biomass FROM seafoodspecies WHERE location = 'Mediterranean Sea'",
"SELECT \"Date\" FROM table_2_1849669_2 WHERE \"Surface\" = 'acapulco'",
"SELECT \"Name\" FROM \"orchestra\" WHERE \"Orchestra_ID\" = 'kirov'",
"SELECT SUM(yellowcards) FROM soccer_matches WHERE location = 'India'",
"SELECT \"Position\" FROM table_1_25517718_3 WHERE \"Starter\" = 'Boggs'",
"SELECT \"Name\" FROM \"teacher\" WHERE \"Name\" LIKE 'math%';",
"SELECT transactions.id, transactions.transaction_amount FROM transactions JOIN clients ON transactions.client_id = clients.id WHERE clients.name = 'Mike Johnson' AND clients.state = 'New York' AND transactions.transaction_amount > 1000;",
"SELECT \"Designation\" FROM table_2_148813_2 WHERE \"Quantity\" = '52'",
"SELECT channel, package_options FROM tv_series WHERE channel_id NOT IN (SELECT id FROM tv_series WHERE channel_id IN (SELECT id FROM tv_series WHERE id LIKE 'Ben Jones%' AND channel_id IS NOT NULL))",
"SELECT location, MIN(productivity FROM companies WHERE location = 'China' GROUP BY location ORDER BY MINProductivity * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1.0 * 1",
"SELECT \"Incumbent\" FROM table_1_1342393_16 WHERE \"District\" = 'Kentucky' AND \"Party\" = 'Democratic'",
"SELECT \"singer_in_concert\" FROM \"stadium\" WHERE \"Stadium_ID\" = '10'",
"SELECT MAX(funding_amount) FROM funding JOIN funding_id ON funder.id = funder.funding_id WHERE funder.name = 'BiotechMax'",
"SELECT \"Player\" FROM table_2_14609752_1 WHERE \"School\" = 'ul-monroe'",
"SELECT \"Template_TypeDescription\" FROM RefTemplate_Types WHERE \"Template_TypeCode\" = 'AD'",
"SELECT AVG(revenue) FROM RetailSales WHERE garment_type = 'Shirt' AND country = 'USA';",
"SELECT \"1976\" FROM table_2_1834704_2 WHERE \"1976\" = 'tournament of overall win \u2013 loss'",
"SELECT country_code FROM \"players\" WHERE \"player_id\" IN (3, 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, 75, 76, 77, 78, 79, 80, 81, ",
"SELECT AVG(safety_score) FROM creative_ai WHERE country = 'Europe';",
"SELECT MIN(\"To par\") FROM table_1_18812411_3",
"SELECT COUNT(DOGS.dog_id) FROM Dogs WHERE DOGS.treatment_type_code = 'WALK'",
"SELECT diagnosis, COUNT(DISTINCT name) FROM RuralHealthFacility3 WHERE diagnosis = 'Diabetes' GROUP BY diagnosis ORDER BY COUNT(DISTINCT name) DESC LIMIT 1;",
"SELECT \"Event\" FROM table_2_12762866_2 WHERE \"Opponent\" = 'masato shiozawa'",
"SELECT \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NULL",
"SELECT MAX(likes) FROM posts WHERE title = 'Post2' AND domain = 'Asia';",
"SELECT \"Total\" FROM table_1_21995420_6 WHERE \"Tumbling\" = 'UC'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '31' AND \"CountryCode\" = '31' AND \"Language\" = 'af' WHERE \"CountryCode\" = 'af' AND \"Language\" = 't'",
"SELECT country, MAX(productQuantity, MINProductQuantity FROM sales GROUP BY country, MAXProductQuantity, MINProductQuantity",
"SELECT \"02:00 AM\" FROM table_2_15535243_1 WHERE \"01:00 AM\" = 'time' AND \"05:00 AM\" = 'topic'",
"SELECT \"DocumentID\", \"DocumentName\", \"DocumentDetails\" FROM \"Documents\" WHERE \"DocumentID\" = 'Ref_Template_Types'",
"SELECT vehicle_type, SUM(cost) FROM vehicle_maintenance WHERE maintenance_date >= '2021-01-01' AND maintenance_date <= '2021-01-05' GROUP BY vehicle_type;",
"SELECT \"Location\" FROM table_1_14971788_1 WHERE \"Opponent\" = 'Atlanta Falcons'",
"SELECT \"airlines\" FROM news_readership WHERE \"readership\" > 10 GROUP BY \"airlines\"",
"SELECT COUNT(*) FROM healthcare_staff WHERE gender = 'Female';",
"SELECT \"Scorers\" FROM table_1_27654988_1 WHERE \"Opponent\" = 'Branc\u00e3o Couto'",
"SELECT professional_id, role_code, email_address, last_name, last_name as first_name, last_name as last_name, last_name as first_name, last_name as last_name, last_name as last_name, last_name as last_name, last_name as last_name, last_name as last_name FROM \"Dogs\" WHERE \"treatment_type_code\" = 'VAC'",
"SELECT SUM(donations) FROM donations WHERE donor = 'Aisha' AND donation_date = '2021-05-05';",
"SELECT \"Avg. Finish\" FROM table_1_2190919_3 WHERE \"Team(s)\" = 'ss-green light racing'",
"SELECT 'United Airlines' AS abbrev, 'Airline' AS name FROM 'flights' WHERE 'USA' = 'United Airlines'",
"SELECT AVG(labor_statistics.avg_wage) FROM labor_statistics WHERE labor_statistics.state = 'California' GROUP BY state ORDER BY AVG(labor_statistics.avg_wage) DESC LIMIT 2;",
"SELECT \"Year (Ceremony)\" FROM table_1_21790203_1 WHERE \"Language(s)\" = 'Japanese'",
"SELECT course_name FROM `Transcript_Contents` WHERE `student_enrolment_id` IS NOT NULL AND `course_id` = '1234567890'",
"SELECT COUNT(sport) FROM sports_events WHERE year = 2018",
"SELECT \"Series\" FROM table_2_18792950_5 WHERE \"Director\" = 'friz freiz'",
"SELECT \"stadium_ID\" FROM \"stadium\" WHERE \"stadium_ID\" = '1' INTERSECT SELECT \"stadium_ID\" FROM \"stadium\" WHERE \"Year\" = '2014'",
"SELECT DrugName, ApprovalYear, ROW_NUMBER() OVER (ORDER BY ApprovalYear DESC) as Rank, COUNT(DrinkName) as Count FROM MarketAccess WHERE ApprovalYear >= '2010-10-01';",
"SELECT \"Year\" FROM table_2_11233501_4 WHERE \"Surface\" = 'clay' AND \"Score\" = '4 : 0'",
"SELECT \"Earnings\" FROM \"people\" WHERE \"People_ID\" = '1987-1988' ORDER BY \"Earnings\" DESC;",
"SELECT SUM(funding) FROM genome_inc WHERE project = 'Genetic Research';",
"SELECT \"Name\" FROM table_2_13244302_2 WHERE \"Length\" = '2.40km' AND \"Winner\" = 'S. Loeb'",
"SELECT min(Documents.Version_Number, Templates.Template_TypeCode) as Lowest_Topic_Code, DocumentName FROM Documents WHERE DocumentName IS NOT NULL ORDER BY DocumentName;",
"SELECT match_id, team_1_score, team_2_score, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id, match_id,",
"SELECT \"Record\" FROM table_1_17848578_1 WHERE \"Game site\" = 'Atlanta-Fulton County Stadium'",
"SELECT hand_type, COUNT(DISTINCT player_id) FROM players WHERE country_code = 'USA' GROUP BY hand_type UNION ALL SELECT hand_type, COUNT(DISTINCT player_id) FROM players WHERE country_code = 'USA' GROUP BY hand_type",
"SELECT AVG(phosphorus) FROM scScotland phosphorus",
"SELECT \"School\" FROM table_2_12014051_2 WHERE \"Round\" = '24'",
"SELECT \"CountryCode\", \"Language\" FROM countrylanguage WHERE \"CountryCode\" IS NOT NULL GROUP BY \"CountryCode\" ORDER BY \"CountryCode\" DESC, \"Language\" DESC, \"Language\" LIMIT 1",
"SELECT AVG(depth FROM underwater_volcanoes WHERE ocean = 'Atlantic' GROUP BY name ORDER BY AVGDepth;",
"SELECT \"Result\" FROM table_2_10860384_2 WHERE \"Date\" = 'december 31, 2005'",
"SELECT student_id FROM friend WHERE student_id IN (1911, 1304, 1247, 12, 1025) GROUP BY student_id ORDER BY COUNT(*) DESC LIMIT 1",
"SELECT country, SUM(launches) FROM launches GROUP BY country;",
"SELECT \"Retail name\" FROM table_2_11989226_1 WHERE \"Chipset based on\" = 'radeon 9200'",
"SELECT 'flights' AS type FROM news_readership WHERE country = 'India' GROUP BY 'flights' ORDER BY 'flights' DESC;",
"SELECT SUM(co2_emissions) FROM carbon_offset WHERE name = 'Plant a Tree';",
"SELECT \"Ryusuke Taguchi\" FROM table_2_10979732_31 WHERE \"Tatsuhito Takaiwa\" = 'Tatshu (13:20)'",
"SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'VAC' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK' UNION ALL SELECT breed_name FROM `Treatments` WHERE `treatment_type_code` = 'WALK'",
"SELECT MAX(readership) FROM customers WHERE customer_id = 1;",
"SELECT \"Box Score\" FROM table_2_16553153_10 WHERE \"Home Team\" = 'Melbourne Tigers'",
"SELECT \"DocumentID\" FROM \"NewsReadership\" WHERE \"Date_EffectiveTo\" IS NOT NULL GROUP BY \"DocumentID\"",
"SELECT country, SUM(member_count) FROM UnionMembers GROUP BY country;",
" SELECT \"Premiere\" FROM table_2_15389655_1 WHERE \"Country\" = 'India' AND \"Country\" = 'TVB Jade'",
"SELECT player_id, first_name, last_name FROM \"players\" ORDER BY \"tours\" DESC, \"tourney_date\" LIMIT 1",
"SELECT AVG(budget) FROM agri_innovation_project WHERE project_type = 'agricultural_innovation';",
"SELECT \"Weight\" FROM table_2_15859432_1 WHERE \"Block\" = '300'",
"SELECT \"Netherlands\", \"Netherlands Antilles\" FROM country WHERE \"CountryCode\" = 'NL' AND \"CountryCode\" = 'AN' UNION SELECT \"Netherlands\", \"Andorra\" FROM country WHERE \"CountryCode\" = 'AD' UNION SELECT \"Netherlands\", \"Andorra\" FROM country WHERE \"CountryCode\" = 'NLD'",
"SELECT ProgramName, SUM(Hours) as VolunteerHours, MAX(Hours) as MaxHours, MAX(Hours) - MIN(Hours) as Diff, MAX(Hours) as AverageHours, MIN(Hours) as MinHours, MAX(Hours) as MaxHours FROM VolunteerHours WHERE ProgramName = 'Arts & Culture' AND HourDate BETWEEN '2021-04-01' AND '2021-06-31' GROUP BY ProgramName, MinHours, MaxHours, AverageHours, MaxHours;",
"SELECT \"Set 2\" FROM table_2_15945725_11 WHERE \"Time\" = '15:33'",
"SELECT Template_ID FROM Document_Templates WHERE Document_Templates Is Not Null;",
"SELECT sector, 0.050000000000000002 * SUM(ghg_emission) * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000000002 * 0.20000000000",
"SELECT \"Composer(s)\" FROM table_2_16750938_1 WHERE \"Length\" = '4:25' WHERE \"Arranger(s)\" = 'banana boat' AND \"Length\" = '66';",
"SELECT \"age\" as \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10' union all select \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10' union all select \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10' union all select \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10' union all select \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10' union all select \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10' union all select \"Age\" as \"Age and Hometown\" from teacher where \"Age\" > '1' and \"Age\" < '10'\"",
"SELECT region, SUM(quantity FROM Resources WHERE quantity > 0 GROUP BY region;",
"SELECT \"Skating song\" FROM table_1_19744915_3 WHERE \"Total\" = '3.5' AND \"Total\" = '3.5' AND \"Total\" = '15.0' AND \"Total\" = '13.5' AND \"Total\" = '7.5' AND \"Total\" = '18.155%';",
"SELECT 'flights' AS count FROM news_readership WHERE country = 'India' AND readership > 0",
"SELECT 'Pacific Ocean' - 'Atlantic Ocean' as ocean_acidity_difference FROM ocean_ph",
"SELECT \"School/Club Team\" FROM table_2_17323777_1 WHERE \"Round\" > '12' AND \"Position\" = 'picked' AND \"Position\" < '342'",
"SELECT COUNT(CarName) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,",
"SELECT country, MIN(resolution_days) FROM country_incident_resolution GROUP BY country;",
"SELECT \"Crowd\" FROM table_2_10701914_11 WHERE \"Home team\" = 'north melbourne'",
"SELECT 'flights' FROM news_readership WHERE country = 'United States' AND topic = 'flights' GROUP BY 'flights'",
"SELECT SUM(donation_amount) FROM donations WHERE cause = 'environment' AND donation_date >= '2022-01-01';",
"SELECT \"No. in series\" FROM table_1_2818164_5 WHERE \"Production code\" = 'February 11, 1988'",
"SELECT Template_Type_Code, Document_Name, Document_Description, '0' as DocumentNumber, '1' as DocumentNumber, '2' as DocumentNumber, '3' as DocumentNumber FROM \"Ref_Template_Types\" WHERE \"Template_TypeCode\" = 'PPT'",
"SELECT AVG(rating) FROM eco_hotels WHERE country = 'France'",
"SELECT \"Location\" FROM table_2_1722347_1 WHERE \"Floors\" > '13' AND \"Rank\" > '12'",
"SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" != '0' AND \"tourney_id\" != '1' AND \"tourney_level\" != '1' AND \"tally_id\" != '0' AND \"tally_id\" != '0' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1' AND \"tally_id\" != '1'",
"SELECT MAX(Salary) FROM AutomotiveWorkers",
"SELECT \"Crowd\" FROM table_2_10640687_3 WHERE \"Home team\" = 'st kilda'",
"SELECT student_id FROM Highschooler WHERE friend_id IS NULL",
"SELECT TeamID, TeamName, 100.0 * SUM(TeamSales.Sales) / SUM(TeamSales.Sales)) OVER (1, 4) AS Percentage FROM TeamSales INNER JOIN TeamName ON TeamSales.TeamName = TeamName TeamName TeamID = TeamName TeamID - 1 GROUP BY TeamID, 100.0 * SUM(TeamSales.Sales) / SUM(TeamSales.Sales)) OVER (1, 4) ORDER BY Percentage DESC;",
"SELECT \"Hometown\" FROM table_1_11677100_11 WHERE \"Position\" = 'Catcher'",
"SELECT country, COUNT(*) FROM \"stadium\" WHERE \"Stadium_ID\" IS NOT NULL GROUP BY \"Country\";",
"SELECT project, SUM(budget) FROM project WHERE project_id = 1 GROUP BY project, SUM(budget) ORDER BY SUM(bunks) DESC LIMIT 5;",
"SELECT \"Type\" FROM table_2_12950463_1 WHERE \"Net Power\" = 'kgr 7'",
"SELECT \"id\" FROM \"TV_series\" WHERE \"Channel\" = '707'",
"SELECT student_id, year, score, score - LAG(score FROM mental_health_changes GROUP BY student_id, year, score;",
"SELECT \"Height\" FROM table_1_12032893_1 WHERE \"Name\" = 'ron bendis'",
"SELECT \"Singer_ID\" as \"Singer_Name\", \"SongRelease_year\" as \"SongRelease_year\", \"Highest\" as \"Highest\", \"Lowest\" as \"Lowest\" as \"Lowest\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\" as \"Singer_Name\"",
"SELECT name FROM renewable_project WHERE country = 'India' AND budget BETWEEN 50000000 AND 200000000;",
"SELECT \"Score\" FROM table_2_12977875_3 WHERE \"Date\" = '21 april 2001'",
"SELECT Template_TypeCode, Template_TypeDescription, COUNT(Documents.DocumentName) FROM Document_Details WHERE Document_Details IS NOT NULL GROUP BY Template_TypeCode, TemplateTypeDescription;",
"SELECT country, AVG(renewal_rate) FROM RecyclingRatesOceania WHERE year = 2021 GROUP BY country;",
"SELECT \"1597\" FROM table_2_1827690_10 WHERE \"2nd member\" = \"hughrey winch\" AND \"27 october 1601\" = \"assembled\"",
"SELECT \"CountryCode\", \"Name\", \"Population\", \"GDPPerCapita\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '10' INTERSECT SELECT \"CountryCode\", \"Name\", \"Population\" FROM \"country\" WHERE \"CountryCode\" = '10'",
"SELECT r.region_name, AVG(r.avg_carbon_sequestration_rate) FROM tree_species r JOIN regions r1 ON r1.region_id = r.region_id WHERE r1.region_id IN (1, 2, 3, 4) GROUP BY r1.region_id;",
"SELECT \"College/junior/club team\" FROM table_1_1965650_7 WHERE \"NHL team\" = 'Buffalo Sabres'",
"SELECT \"Air Date\" FROM \"TV_series\" WHERE \"Episode\" = 'A Love of a Lifetime'",
"SELECT station_name, latitude, longitude FROM Research_Station WHERE ocean_name = 'Atlantic'",
"SELECT \"Numbers (Quantity Ordered)\" FROM table_2_15142622_1 WHERE \"Make/ Model\" = 'eldorado national passport'",
"SELECT SUM(feature_description) FROM \"Other_Available_Fees\"",
"SELECT COUNT(s) FROM suppliers WHERE location = 'United States';",
"SELECT \"H.T. Brewer\" FROM table_1_1320857_1 WHERE \"F.A. Brill\" = 'W.H. Archer' AND \"F.A. Hill\" = 'W.H. Sinclair'",
"SELECT MIN(likes.liked_id) FROM Likes WHERE likes.liked_id IS NOT NULL;",
"SELECT COUNT(*) FROM members WHERE user_id IN (1, 2, 3, 4, 5, 6, 7, 8);",
"SELECT \"Kiplingers Top 100 Values\" FROM table_1_1641054_2 WHERE \"Kiplingers\" = 'N/A' ORDER BY \"Kiplingers\" LIMIT 1",
"SELECT COUNT(DISTINCT 'airports') FROM 'flights' WHERE 'airports' = 'airline'",
"SELECT Country, SUM(FavoriteGame) as FavoriteGameCount FROM Players WHERE FavoriteGame IS NOT NULL GROUP BY Country ORDER BY FavoriteGameCount DESC LIMIT 3;",
"SELECT \"Poles\" FROM table_1_25740774_1 WHERE \"Podiums\" = '1-4'",
"SELECT student_id FROM student_id WHERE student_id NOT IN (1)",
"SELECT AVG(production_qty / productionCount) FROM operators WHERE operator_id IN (1, 2, 3) GROUP BY operator_id;",
"SELECT \"Home\" FROM table_2_12728831_6 WHERE \"Date\" = 'May 22' AND \"Visitor\" = 'edmonton Oilers'",
"SELECT AVG(\"Earnings\") FROM \"people\" WHERE \"People_ID\" = '1011111111111111'",
"SELECT name, residents % 10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Dutch\" FROM table_2_1777797_1 WHERE \"German\" = 'Icelandic'",
"SELECT Template_TypeCode FROM RefTemplate_Types WHERE Document_TypedefCode IS NOT NULL GROUP BY Template_TypeCode",
"SELECT ingredient FROM ingredients WHERE brand_id IN (5, 2, 3, 4, 5)",
"SELECT \"Year born (Age)\" FROM table_2_18228282_6 WHERE \"Height\" > '2.04' AND \"Current Club\" = 'los angeles clippers'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Template_TypeCode IS NOT null GROUP BY Template_TypeCode;",
"SELECT category, MAX(likes) FROM posts WHERE category = 'sports' GROUP BY category ORDER BY MAX(likes) DESC LIMIT 1",
"SELECT \"Manufacturer\" FROM table_2_1169552_21 WHERE \"Year withdrawn\" > '1932'",
"SELECT \"GPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '11'",
"SELECT country, COUNT(*) 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 Highschooler WHERE \"name\" LIKE 'Cassandra' AND \"id\" > '1247') GROUP BY \"grade\" ORDER BY \"grade\" DESC) AS \"high schoolers\" LIMIT 1) AS \"grade\"",
"SELECT MIN(Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders.Policyholders",
"SELECT \"Total\" FROM table_2_12783587_2 WHERE \"FA Cup \" = '0 13 0 (49)'",
"SELECT \"Document_ID\", \"Template_TypeCode\", \"Document_Name\", \"Document_Details\" FROM \"Documents\" WHERE \"Template_TypeCode\" = 'PPT' UNION ALL SELECT \"Document_ID\", \"Template_TypeCode\", \"Document_Details\", \"Document_Details\" FROM \"Documents\" WHERE \"TemplateTypeCode\" = 'PPT'",
"SELECT state, year, energy_type, sum(consumption) as total_consumption FROM energy_consumption WHERE state = 'New York' AND year = 2020 GROUP BY state, year, energy_type;",
"SELECT \"Producer\" FROM table_2_15236220_4 WHERE \"Director\" = 'Bona Fajardo'",
"SELECT \"Conductor_ID\" FROM \"orchestra\" WHERE \"Year_of_Founded\" > '2008'",
"SELECT Genre, MAX(CASE WHEN Genre = 'PS2' THEN 1 ELSE 0 END) FROM GameDesign WHERE Platform = 'PC' GROUP BY Genre;",
"SELECT MIN(\"Length (m)\") FROM table_2_15063556_1 WHERE \"Maximum Grade (%)\" = '15' AND \"Country\" = 'norway' AND \"Length (m)\" < '122.22'",
"SELECT MAX(CarMakers.Cylinders) FROM car_makers WHERE CarMakers.FuelModel = 'Chrysler' AND CarMakers.FuelModel = '15' AND CarMakers.ProductionYear < '1980';",
"SELECT SUM(weight FROM Farm WHERE region = 'Caribbean' AND species = 'Tuna';",
"SELECT \"revenues\" FROM table_2_12803398_3 WHERE \"revenues\" = 'yamashiro-no-kami'",
"SELECT \"NationsCode2\", \"CountryCode2\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'afg' INTERSECT SELECT \"CountryCode1\", \"CountryCode1\" FROM \"countrylanguage\" WHERE \"CountryCode1\" = 'afg'",
"SELECT country_name, SUM(personnel_count) FROM (\n SELECT country_name, SUM(personnel_count) FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country_name, people_count FROM (\n SELECT country",
"SELECT \"Report\" FROM table_1_1140078_2 WHERE \"Race\" = 'italian grand prix'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" = 'france' AND \"Maker\" = 'french auto manufacturer'",
"SELECT State, Disease, Vaccinated, State, AVG(CASE WHEN Vaccinated THEN 1 ELSE 0 END) * 1.0 / AVG(CASE WHEN Vaccinated THEN 1 ELSE 0 END) * 1.0 * 1.0 * State FROM Patients WHERE Disease = 'Measles' AND State = 'California' GROUP BY State, Disease, Vaccinated, State;",
"SELECT \"2011\" FROM table_2_17915_7 WHERE \"1999\" = \"1991\"",
"SELECT \"people\" FROM \"poker_player\" WHERE \"Earnings\" > \"300000\"",
"SELECT state_id, COUNT(*) FROM hospitals WHERE state_id IN (SELECT state_id FROM hospitals WHERE state_id > 2) AND rural THEN 1 + COUNT(*) FROM hospitals WHERE state_id IN (SELECT state_id FROM hospitals WHERE state_id < 3);",
"SELECT \"Sydney\" FROM table_2_12230393_8 WHERE \"Perth\" = 'no' AND \"Adelaide\" = 'yes' AND \"Gold Coast\" = 'no'",
"SELECT SUM(bonuses) FROM evaluation WHERE is_full_time = '1' AND year_awarded = '2011'",
"SELECT SUM(CASE WHEN organic THEN 1 ELSE 0 END) + SUM(CASE WHEN organic THEN 0 ELSE 1 END) FROM products_organic);",
"SELECT \"Directed by\" FROM table_1_12226390_7 WHERE \"Production code\" = '8' AND \"Production code\" = 'Richard L. Bare' AND \"Production code\" = 'Richard L. Bare' + '8'",
"SELECT MAX(\"Earnings\") FROM \"poker_player\";",
"SELECT drug_name, max(rd_expenses as max_expenses, min(rd_expenses as min_expenses, max rd_expenses as max, min rd_expenses as min, max R&D expenses as max, min R&D expenses as min FROM drugrdexpenses WHERE approval_country = 'US' GROUP BY drug_name;",
"SELECT \"Score\" FROM table_2_12164513_1 WHERE \"Date\" = 'april 16'",
"SELECT COUNT(orchestra.Organica) FROM orchestra WHERE orquesta.Record_Company = 'CD' OR orquesta.Videocassette'",
"SELECT COUNT(mission_id) FROM Missions WHERE community = 'Latino' AND leader_astronaut_id IS NOT NULL;",
"SELECT \"Result\" FROM table_2_14944169_1 WHERE \"Week\" = '15'",
"SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) GROUP BY \"Orchestra_ID\" ORDER BY COUNT(\"Orchestra\") DESC LIMIT 1",
"SELECT * FROM SocialImpactInvestments WHERE Sector = 'Agriculture' AND InvestorCountry = 'France' ORDER BY InvestmentDate, ESGScore DESC;",
"SELECT \"135lbs\" FROM table_1_18341614_11 WHERE \"103lbs\" = \"135lbs\" AND \"135lbs\" = \"135lbs\"",
"SELECT role, street, city, state, last_name, last_name as name, last_name as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as prefix, prefix as",
"SELECT AVG(population) FROM animal_habitat;",
"SELECT \"Founded\" FROM table_2_1640927_1 WHERE \"Venue\" = 'Villa Park'",
"SELECT \"name\" FROM teacher WHERE \"name\" NOT IN ('teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher', 'teacher",
"SELECT COUNT(*) FROM incidents WHERE region = 'APAC' AND date_reported >= '2021-01-01';",
"SELECT \"Difference\" FROM table_2_15331868_1 WHERE \"Points\" > '12' AND \"Drawn\" > '1'",
"SELECT \"player_id\", \"tours\", \"tournaments\", \"tourney_date\", \"tourney_id\", \"tourney_level\", \"tourney_name\", \"tours\" FROM \"players\" WHERE \"tours\" > 1 ORDER BY \"tours\" DESC;",
"SELECT SUM(export_amount), SUM(emission) FROM chile_copper_export WHERE year BETWEEN '2016-01-01' AND '2018-12-31' AND year BETWEEN '2016-01-01' AND '2018-12-31';",
"SELECT \"Date\" FROM table_2_10883333_9 WHERE \"Venue\" = 'lake oval'",
"SELECT name, birth_date, people_id FROM people WHERE people_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) UNION (1, 2, 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",
"SELECT mass, AVG(mass) FROM space_debris_by_mass WHERE mass BETWEEN '50' AND '1000' GROUP BY mass;",
"SELECT \"Home\" FROM table_2_11963735_7 WHERE \"Date\" = '27 march 2008'",
"SELECT \"teacher\" FROM \"course\" WHERE \"teacher\" = '1' GROUP BY \"teacher\" ORDER BY COUNT(\"teacher\") DESC LIMIT 100;",
"SELECT country FROM shipments WHERE product = 'Chemical E' AND shipped_date >= '2022-05-21' AND shipped_date <= '2022-06-10';",
"SELECT \"Points\" FROM table_2_1247601_1 WHERE \"Goals for\" < '310' AND \"Goals for\" > '98'",
"SELECT Document_ID FROM Documents WHERE Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP BY Document_ID HAVING Document_Details IS NOT NULL GROUP",
"SELECT AVG(rating) FROM hotel_rating WHERE category = 'luxury' AND city = 'New York';",
"SELECT \"Wins\" FROM table_2_14584481_1 WHERE \"Poles\" = '5'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"CountryCode\" = 'Netherlands Antilles' AND \"CountryCode\" = 'Netherlands' AND \"Language\" = 'T'",
"SELECT SUM(mass) FROM space_debris WHERE launch_date < '2010-01-01';",
"SELECT \"Country\" FROM table_2_17290229_2 WHERE \"Score\" = '73-70-71-71=285'",
"SELECT '1278' as \"GDP per capita\" as \"GDP per capita (1000)\", '123' as \"GDP per capita (1000)\", '123' as \"GDP per capita (1000)\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '123' as \"GDP per capita\" FROM \"country\" WHERE \"CountryCode\" = '1000' UNION SELECT '1",
"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_Details\", \"Document.Name\" FROM \"Ref_Template_Types\" WHERE \"Document_Details\" LIKE 'p' UNION 'Paragraphs' UNION 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', 'PPT', '",
"SELECT * FROM satellite_launches_by_year_country WHERE year >= 1958 AND year <= 2020;",
"SELECT \"Nationality\" FROM table_2_1473672_8 WHERE \"Pick #\"\" = '117'",
" SELECT title FROM \"Cartoon\" WHERE \"Hight_definition_TV\" = '16:9' ORDER BY \"Hight_definition_TV\" DESC;",
"SELECT * FROM eu_ai_safety_incidents WHERE incident_category = 'data privacy' OR incident_category = 'unintended behavior'",
"SELECT \"Score\" FROM table_2_12261783_2 WHERE \"Result\" = 'win' AND \"City\" = 'Marquette'",
"SELECT \"CountryCode\", \"Language\" FROM \"countrylanguage\" WHERE \"CountryCode\" IN ('GB', 'NL', 'NL', 'NI', 'NL') UNION ' ' 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE' UNION 'DE'",
"SELECT SUM(amount) FROM defense_spending WHERE country = 'New Zealand'",
"SELECT \"Nations\" FROM news_readership WHERE \"Enrollment\" = '1857'",
"SELECT \"Employee_ID\" FROM \"employee\" WHERE \"Employee_ID\" IN (1, 2, 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, 75, 76, 77, 78, 7",
"SELECT MIN(price) FROM Menu JOIN Restaurant as restaurant_id JOIN Menu as menu_id WHERE restaurant_id = 1 AND menu_id IN (SELECT id FROM Menu WHERE category = 'Vegan' AND price > 0)) AND restaurant_id = 1",
"SELECT \"Date\" FROM table_2_14163678_7 WHERE \"Home\" = 'harford'",
"SELECT \"AfG\" FROM country WHERE \"CountryCode\" = 'AFG' AND \"CountryCode\" > '1234323' AND \"CountryCode\" > '10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT MAX(avgDepth FROM IndianOcean",
"SELECT \"Scores\" FROM table_1_23575917_4 WHERE \"Lees team\" = 'Deborah Meaden and Mark Watson'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"GovernmentForm\" = 'r'",
"SELECT MAX(pressure) FROM deep_sea_pressure WHERE location = 'Challenger Deep'",
"SELECT \"Results\" FROM table_1_16185956_1 WHERE \"Elected\" = '1998' AND \"Incumbent\" = 'Doc Hastings'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\" = '1' AND \"CountryCode\"",
"SELECT r.Region, sum(d.amount) FROM Donations r JOIN Regions r ON r.Region = r.Region_id WHERE r.DonorID = r.DonorID GROUP BY r.Region, r.DonationID;",
"SELECT \"Score\" FROM table_2_18060797_3 WHERE \"Date\" = '5 october 2004'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Citizenship\" = 'United States' GROUP BY \"Singer_ID\" HAVING \"Number_of_Songs\" > 1",
"SELECT name FROM player WHERE player.age > 30 GROUP BY name ORDER BY COUNT(*) DESC LIMIT 1;",
"SELECT \"City\" FROM table_2_10999530_2 WHERE \"Country\" = 'Czech Republic'",
"SELECT pet_type, AVG(age) as avg_age, MAX(age) as max_age FROM pets GROUP BY pet_type ORDER BY AVG(age) DESC, MAX(age) ASC;",
"SELECT SUM(value) FROM military_sales",
"SELECT \"Opponent\" FROM table_2_16251064_1 WHERE \"Final score\" = '2\u20133 l'",
"SELECT title FROM \"Cartoon\" WHERE \"Channel\" = '707' ORDER BY \"title\" ASC;",
"SELECT SUM(cost) FROM space_missions JOIN space_agencies ON space_missions.agency_id = space_agencies.id WHERE space_agencies.country = 'India' AND space_agencies.agency_id = 'Argentina';",
"SELECT \"Round\" FROM table_2_17401571_2 WHERE \"Opponent\" = 'Clyde'",
"SELECT \"hiring\"] FROM \"hiring\" WHERE \"Shop_ID\" IS NOT NULL GROUP BY \"hiring\"",
"SELECT case_id, case_outcome, SUM(caseOutcome = 'Won' FROM cases WHERE case_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) AND case_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)) GROUP BY case_id, case_outcome;",
"SELECT \"element\" FROM table_1_15366768_1 WHERE \"isotopic mass\" = '158.925 34(2)'",
"SELECT Treatment_Types.name as treatment_type_description, Treated_Treatment_Type, Treated_Treatment_Type_code as cost_of_treatment, Treated_Treatment_Type_from, Treated_Treatment_Type_to, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment_Type_from, Treated_Treatment",
"SELECT AVG(amount) FROM org_climate_finance WHERE region IN ('Americas', 'Europe');",
"SELECT \"Chromosomal location\" FROM table_1_29871617_1 WHERE \"Coreceptor\" = '11q22.2-q22.3'",
"SELECT AVG(\"Earnings\") FROM \"people\" WHERE \"Height\" > '200'",
"SELECT * FROM organizations WHERE org_id IN (SELECT org_id FROM organizations WHERE name LIKE 'Ethical AI%' AND gov_funding THEN 'Government' END);",
"SELECT \"Starter\" FROM table_1_14342592_4 WHERE \"Player\" = 'schulte'",
"SELECT \"tourney_id\" FROM \"players\" WHERE \"tourney_id\" IS NOT NULL GROUP BY \"tourney_id\";",
"SELECT SUM(CASE WHEN diagnosis = 'Ivan Purple' THEN 1 ELSE 0 END) + SUM(CASE WHEN diagnosis = 'Judy Orange' THEN 1 ELSE 0 END) FROM RuralHealthFacility8 WHERE id = 1;",
"SELECT \"Home team score\" FROM table_2_10775038_16 WHERE \"Venue\" = 'brunford street oval'",
"SELECT \"CountryCode\", \"Name\" FROM countrylanguage WHERE \"CountryCode\" = 'AFG' AND \"Population\" = '1278'",
"SELECT SUM(quantity FROM extraction WHERE mine_id = 1;",
"SELECT \"Date\" FROM table_2_13034488_5 WHERE \"Attendance\" > '20,066' AND \"Home\" = 'tampa bay'",
"SELECT \"date_left\" FROM \"Transcript_Contents\" WHERE \"student_course_id\" = '1' AND \"transcript_id\" = '1' AND \"other_details\" = '1'",
"SELECT COUNT(client_id) FROM regulatory_compliance WHERE compliance_status = 'Non-compliant';",
"SELECT \"Home team score\" FROM table_2_10790804_18 WHERE \"Home team\" = 'home team' AND \"Away team\" = 'away team' AND \"Crowd\" > '15.15 (105)'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"CountryCode\" LIKE '1950%' GROUP BY \"CountryCode\" ORDER BY \"CountryCode\"",
"SELECT SUM(premium) FROM policyholders WHERE name = 'Rebecca Martinez' AND state = 'New Jersey';",
"SELECT \"Production code\" FROM table_1_2818164_5 WHERE \"Title\" = '96'",
"SELECT COUNT(DISTINCT `degree_summary_id`) FROM `Degree_Programs` WHERE `department_id` = '13' AND `course_id` = '2'",
"SELECT SUM(total_funding) FROM Education WHERE program_id IN (1, 2) AND city = 'Montreal' AND year = 2021;",
"SELECT \"Commissioned\" FROM table_2_1228289_2 WHERE \"Country\" = 'Vietnam'",
"SELECT \"singer\" FROM song WHERE \"Singer_ID\" IS NOT NULL;",
"SELECT DISTINCT WorkoutType FROM Workout",
"SELECT \"Country\" FROM table_2_12969596_1 WHERE \"Film title used in nomination\" = 'The Garden of the Finzi-Continis'",
"SELECT * FROM \"CONTESTANTS\" WHERE \"contestant_name\" LIKE ' %';",
"SELECT country, SUM(product, SUMOrganic FROM seafood_production_v3 WHERE is_organic > 20000 GROUP BY country;",
"SELECT \"18-49\" FROM table_2_16225725_4 WHERE \"18-49\" = \"Share\" FROM table_2_16225725_4 WHERE \"Episode\" = \"Farmer Picks a Wife\"",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Template_TypeCode IN ('PP', 'PPT');",
"SELECT AVG(age) FROM readers WHERE interest LIKE 'opinion%' GROUP BY gender;",
"SELECT \"Attendance\" FROM table_2_16644252_2 WHERE \"Lions' Points\" = '11'",
"SELECT COUNT(DISTINCT `Orchestra_ID`) FROM conductor WHERE `Conductor_ID` = (SELECT `Orchestra_ID` FROM conductor WHERE `Conductor_ID` = 1)",
"SELECT SUM(quantity FROM quantities WHERE source_id IN (1, 2);",
"SELECT \"Week\" FROM table_2_16778576_3 WHERE \"Date\" = 'December 17'",
"SELECT student_id, name, grade FROM Highschooler WHERE student_id IN (1661, 1641, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, ",
"SELECT country, MAX(year_preserved) FROM art_forms GROUP BY country;",
"SELECT \"U.S. airdate\" + \" Canadian airdate\" FROM table_1_1295677880000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT name FROM friend WHERE student_id = 1661",
"SELECT name FROM astronauts WHERE country = 'South Korea'",
"SELECT \"Release date\" FROM table_2_18823880_14 WHERE \"Release price ( USD ) \" = '346' AND \"Turbo\" = '9/11'",
"SELECT MIN(10000), MAX(10000) FROM (SELECT MAX(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(10000) FROM (SELECT MIN(1",
"SELECT AVG(investment) FROM climate_finance_investments WHERE year = 2019;",
"SELECT \"Language/Rebroadcast\" FROM table_2_18536769_1 WHERE \"Country\" = 'India' AND \"Country\" = 'Canada' AND \"Country\" = 'Argentina' AND \"Country\" = 'India' AND \"Country\" = 'Congo' AND \"Country\" = 'Chile' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" = 'Fiji' AND \"Country\" =",
"SELECT \"section_name\" FROM \"Transcript_Contents\" WHERE \"other_details\" IS NOT NULL ORDER BY \"section_name\" DESC;",
"SELECT SUM(cost) FROM dam WHERE name = 'El Cuerzo Dam'",
"SELECT \"Date\" FROM table_2_16880965_1 WHERE \"Promotor\" = 'Frank Moloney' AND \"Opponent\" = 'Georgi Iliev'",
"SELECT \"StuID\", \"pet_age\", \"age\" FROM \"Student\" WHERE \"LName\" = 'Schwartz' AND \"PetType\" = 'dog' UNION SELECT \"StuID\", \"pet_age\", \"age\" FROM \"Student\" WHERE \"LName\" = 'Schwartz' AND \"PetType\" = 'cat';",
"SELECT element, quantity FROM production_data WHERE year IN (2019, 2021) GROUP BY element, quantity;",
"SELECT \"Score in the final\" FROM table_1_26202940_6 WHERE \"Championship\" = '6\u20133, 6\u20134, 7\u20136 (13\u201311)'",
"SELECT t.treatment_type_description, p.treatment_type_code, p.cost_of_treatment, p.treatment_type_code, p.cost_of_treatment, p.treatment_type_code, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p.cost_of_treatment, p",
"SELECT SUM(CASE WHEN city = 'Tokyo' THEN 1 ELSE 0 END) FROM trains;",
"SELECT \"Fin. Pos\" FROM table_2_17256038_1 WHERE \"Laps\" = '13'",
"SELECT shop_name FROM shop WHERE shop_name NOT LIKE '100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT MIN(successes) FROM attorneys WHERE ethnicity = 'Latinx' AND attorney_id IS NOT NULL;",
"SELECT \"Score\" FROM table_2_17231246_6 WHERE \"To par\" = 'raymond floyd'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" IS NOT NULL AND \"car_makers\" LIKE '17'",
"SELECT ContractID, ContractValue FROM Projects WHERE ContractID = 1",
"SELECT \"Blackberry OS\" FROM table_1_14260687_3 WHERE \"Symbian\" = 'Blackberry OS' AND \"Symbian\" * \"Android\" * \"Blackberry OS\" * \"Symbian\" * \"Linux\" * \"Windows Phone\" * \"Other\" * \"Total\" * \"Other\" * \"Other\" * \"Other\" * \"Other\" * \"Other\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\" * \"Linux\"",
"SELECT \"teacher\" FROM \"teacher\" WHERE \"teacher\" IN ('John Deloor', 'Vicente Carretero', 'Kearsley Brown', 'Anne Walker', 'Lucy Wong', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Vicente Carretero', 'Kearsley Brown', 'John Deloor', 'Anne Walker', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Deloor', 'Kearsley Brown', 'John Del",
"SELECT SUM(volume_used) FROM water_usage WHERE state IN ('Arizona', 'Nevada');",
"SELECT \"Competition\" FROM table_2_11233501_4 WHERE \"Year\" = '2008' AND \"Surface\" = 'carpet' AND \"Date\" = '31 jan'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"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 \"SongName\", \"SongRelease_year\" FROM \"singer_in_concert\" WHERE \"Singer_ID\" = '3'",
"SELECT SupplierName, AVG(AvgFabricWaste) FROM TextileSuppliers JOINedTable WHERE SupplierName = 'Supplier1' AND Region = 'NY' GROUP BY SupplierName;",
"SELECT \"Winning driver\" FROM table_2_1140110_1 WHERE \"Date\" = '24 august'",
"SELECT shop_name FROM shop WHERE shop_name NOT LIKE '100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT AVG(revenue) FROM RetailSales WHERE country = 'Mexico' AND name = 'Jeans';",
"SELECT \"Date\" FROM table_2_17026847_3 WHERE \"Home\" = 'olimpia'",
"SELECT \"Birth_Date\" FROM \"people\" WHERE \"Earnings\" > \"Earnings\" GROUP BY \"BirthDate\" ORDER BY \"Earnings\" DESC LIMIT 1",
"SELECT PropertyID, Price, SustainabilityScore, Neighborhood, Size, Price - Price * (SustainabilityScore * 0.0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT \"Population\" FROM table_1_171236_2 WHERE \"Official Name\" = 'cardwell'",
"SELECT MAX('Share') FROM performance WHERE 'Type' != 'Live final'",
"SELECT SUM(revenue) FROM events WHERE name = 'Virtual Tourism New York' AND type = 'virtual' AND country = 'USA';",
"SELECT AVG(\"Year\") FROM table_2_12207976_1 WHERE \"Mixed doubles\" = 'nathanon'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"car_makers\" > 3 UNION SELECT \"model_list\" FROM \"model_list\" WHERE \"car_makers\" > 3",
"SELECT SUM(Electric) FROM Stations",
"SELECT \"European competitions\" FROM table_2_13291113_1 WHERE \"European competitions\" = 'european competitions'",
"SELECT \"name\", \"date\" FROM \"battle\" WHERE \"killed\" = 'Lettice' AND \"ship_type\" = 'L' INTERSECT SELECT \"name\", \"date\" FROM \"battle\" WHERE \"killed\" = 'HMS Atalanta'",
"SELECT state, SUM(issued_date) FROM Licenses WHERE issued_date >= '2021-01-01' GROUP BY state;",
"SELECT \"3rd places\" FROM table_2_13599687_53 WHERE \"3rd places\" = '23'",
"SELECT AVG(likes.readership) FROM (SELECT \"likes\" FROM (SELECT \"likes\" FROM (SELECT \"likes\" FROM (SELECT \"likes\" FROM (SELECT \"likes\" FROM (SELECT \"likes\" FROM \"Highschooler\" WHERE \"grade\" = '9' LIKE '9%') LIKE '9%') LIKE '9%') LIKE '9%') LIKE '9%') LIKE '9%') LIKE '9%') LIKE '9%')",
"SELECT SUM(Budget) FROM Social_Services_Dept WHERE Service LIKE 'C%';",
"SELECT \"Round\" FROM table_2_17678435_6 WHERE \"Opponent\" = 'phil graham'",
"SELECT \"section_name\" as \"section_name\", \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as \"section_description\" as",
"SELECT u.union_id FROM union membership u WHERE u union name = 'Teamsters' UNION UNION name = 'UAW'",
"SELECT \"IHSAA Class (Football)\" FROM table_2_18722758_1 WHERE \"School Corp.\" = 'Northrop'",
"SELECT name FROM \"singer\" WHERE \"Net_Worth_Millions\" > '1.0' ORDER BY \"Net_Worth_Millions\" DESC LIMIT 10",
"SELECT * FROM properties JOIN co_owners ON properties.property_id = co_owners.id WHERE co_owners.name = 'Alex' AND co_owners.address = '1234 SE Stark St' AND co_owners.address = '102,5678 NE 20th Ave'",
"SELECT \"Winning constructor\" FROM table_2_13795349_2 WHERE \"Winning driver\" = 'felice nazzaro'",
"SELECT \"course_name\" FROM \"Transcript_Contents\" WHERE \"course_id\" = '2' AND \"section_description\" IS NOT NULL GROUP BY \"course_name\" HAVING \"section_description\" = 'voluptatem'",
"SELECT MAX(energy_efficiency_rating) FROM hydro_dams WHERE name = 'Robert-Bourassa';",
"SELECT AVG(\"Goals\") FROM table_2_1590321_69 WHERE \"Rank\" < '8' AND \"Matches\" = '261'",
"SELECT model FROM cars_data WHERE ModelId IN (7, 8, 9) AND Weight < (SELECT AVG(Weight) FROM cars_data WHERE Weight > '17');",
"SELECT * FROM RecycledMaterials WHERE supplier_id IN (1, 2, 3) AND name LIKE 'Recycled%';",
"SELECT \"Sport\" FROM table_2_1640927_1 WHERE \"Founded\" > '1874' AND \"Club\" = 'birmingham City'",
"SELECT name FROM people WHERE people.PokerPlayer_ID IN (5, 6, 7, 8, 9, 10)",
"SELECT ota_name, SUM(bookings) FROM otas WHERE ota_id = 1 UNION ALL SELECT ota_name, sum(bookings) FROM otas WHERE ota_id = 2 UNION ALL SELECT ota_name, sum(bookings) FROM otas WHERE ota_id = 3",
"SELECT \"Opponent\" FROM table_2_11514020_6 WHERE \"Date\" = 'September 8'",
"SELECT \"CountryCode\" FROM countrylanguage WHERE \"Language\" = 'lang'",
"SELECT species_id, description FROM conservation_efforts WHERE conservation_status = 'Endangered';",
"SELECT \"title\" FROM table_2_16581695_7 WHERE \"aspect ratio\" = '16:9' AND \"time length\" = '16:9' AND \"time length\" = 'november 17, 2009'",
"SELECT AVG(\"Earnings\") FROM people WHERE \"People_ID\" = '1987-1992' GROUP BY \"Earnings\" ORDER BY \"Earnings\" DESC;",
"SELECT country, AVG(CASE WHEN urban THEN 100 ELSE 0 END) * 100 AS percentage FROM population WHERE urban THEN 100 GROUP BY country;",
"SELECT \"Yards\" FROM table_2_13886661_1 WHERE \"Completion %\" = '64.9%'",
"SELECT \"address_id\" FROM \"Students\" WHERE \"current_address_id\" IS NOT NULL",
"SELECT AVG(ResponseTime) FROM Feedback WHERE Location = 'Rural';",
"SELECT \"Points\" FROM table_1_23308178_8 WHERE \"Record\" = '5'",
"SELECT \"People_ID\" FROM \"people\" WHERE \"People_ID\" IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83,",
"SELECT EquipmentType, sum(CO2Emission) as TotalCO2Emission, Age, sum(CO2Emission) as Age, sum(CO2Emission) - sum(CO2Emission) as Age - sum(CO2Emission) as Age - sum(CO2Emission) as Age from EmissionData where Age > 8 group by EquipmentType having sum(CO2Emission) > sum(CO2Emission) - sum(CO2Emission) group by EquipmentType having sum(CO2Emission) > sum(CO2Emission) - sum(CO2Emission) group by EquipmentType having sum(CO2Emission) > sum(CO2Emission) - sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) - sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission) > sum(CO2Emission) having sum(CO2Emission)",
"SELECT \"Class\" FROM table_2_1169552_5 WHERE \"Wheel arrangement\" = 'P14'",
"SELECT airline FROM 'flights' WHERE 'flights' > '0'",
"SELECT DisasterType, SUM(FundID) as TotalFundsAllocated FROM DisasterFunds GROUP BY DisasterType;",
"SELECT \"Vocal Percuti\", \"Arranger\" FROM table_1_28715942_5 WHERE \"Vocal Percuti\" = 'Alexei Kalveks' AND \"Vocal Percuti\" = 'Alexei Kalveks'",
"SELECT \"name\" FROM \"teacher\" WHERE \"Age\" > 10 GROUP BY \"name\" ORDER BY \"Age\" DESC;",
"SELECT MAX(habitat_size) FROM animal_habitat;",
"SELECT \"Elector\" FROM table_2_18890528_2 WHERE \"Elector\" = 'sofredo'",
"SELECT \"Hight_definition_TV\", \"Hight_definition_TV\", \"Hight_definitionTV\" FROM \"Cartoon\" WHERE \"Viewers_m\" = '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1' AND \"Hight_definitionTV\" != '1'",
"SELECT nation, year, Expenditure, ROW_NUMBER() OVER (ORDER BY Expendance DESC) as \"rank\" FROM MilitaryInnovation WHERE nation = 'Russia' GROUP BY nation, year ORDER BY \"rank\" DESC;",
"SELECT \"Supercopa Sudamericana 1992\" FROM table_2_15013825_8 WHERE \"Team\" = 'santos'",
"SELECT `treatment_type_code` FROM `Treatments` WHERE `treatment_type_description` = 'Vaccination' AND `treatment_type_code` = '10'",
"SELECT AVG(size) FROM property WHERE city = 'Seattle' GROUP BY size;",
"SELECT \"Date\" FROM table_2_15764352_5 WHERE \"Away\" = 'Broadview Hawks'",
"SELECT Template_TypeCode, Template_TypeDescription FROM RefTemplate_Types WHERE Version_Number IS NOT NULL AND Template_TypeCode IS NOT NULL ORDER BY Template_TypeCode, TemplateTypeDescription;",
"SELECT alert_date FROM fraud_alerts WHERE alert_type = 'Suspicious Activity';",
"SELECT \"Game\" FROM table_2_17081606_3 WHERE \"Date\" = 'May 24' AND \"Road Team\" = 'Seattle'",
"SELECT \"cityCode\" FROM \"country\" WHERE \"CountryCode\" = 'AFG'",
"SELECT AVG(num_employees) FROM workplaces WHERE is_unionized = true AND country = 'USA';",
"SELECT \"Team\" FROM table_2_12087796_4 WHERE \"College\" = 'lawrence tech'",
"SELECT \"title\" FROM \"Cartoon\" WHERE \"Channel\" = '707' AND \"title\" LIKE 'dawn of the dead man%'",
"SELECT year, AVG(readership) FROM ai_safety_research WHERE year >= 2018 GROUP BY year",
"SELECT \"High rebounds\" FROM table_1_23186738_10 WHERE \"Record\" = '27-54'",
"SELECT \"Employee_ID\" FROM \"employee\" WHERE \"Employee_ID\" IS NOT NULL",
"SELECT SUM(squareFootage) FROM properties WHERE wheelchairaccessible = true AND city = 'Boston';",
"SELECT \"Time/Retired\" FROM table_2_1122182_1 WHERE \"Laps\" > '10' AND \"Constructor\" = 'Maserati' AND \"Grid\" > '10' AND \"Laps\" > '2'",
"SELECT \"CountryCode\", \"Language\", \"IsOfficial\" FROM \"countrylanguage\" WHERE \"CountryCode\" > '2' UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\", \"Language\" UNION BY \"CountryCode\",",
"SELECT fare FROM fares WHERE fare = 3.00 AND line = 'blue';",
"SELECT \"Home team score\" FROM table_2_10783853_15 WHERE \"Crowd\" = '1' AND \"Home team\" = 'south melbourne'",
"SELECT MAX(match_num FROM (SELECT \"tourney_date\" FROM \"matches\" WHERE \"tourney_id\" = '6-3 6-3' AND \"tourney_level\" = '1' GROUP BY \"tourney_date\" ORDER BY \"tourney_score\" DESC LIMIT 1) AS \"tourney_date\";",
"SELECT impact FROM local_economy WHERE city IN ('New York', 'Los Angeles');",
"SELECT \"Depth\" FROM table_1_25675509_1 WHERE \"Time (UTC)\" = '158.091\u00b0 E' AND \"Longitude\" = '158.091'",
"SELECT \"Country\" FROM \"singer\" WHERE \"Age\" > 20",
"SELECT Name, Birthplace FROM (SELECT Name, Birthplace, MAX(genre) as Genre FROM Artworks GROUP BY Title, Genre) as subquery WHERE genre = 'Post-Impressionism' GROUP BY Name, Genre ORDER BY Genre DESC LIMIT 1;",
"SELECT \"High assists\" FROM table_1_23285805_8 WHERE \"Team\" = 'Oklahoma City'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Birth_Year\" IN (1948, 1949) UNION SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Birth_Year\" IN (1948, 1949)",
"SELECT cases FROM infectious_disease WHERE year = 2020 AND location = 'Africa';",
"SELECT \"Attendance\" FROM table_2_11821711_7 WHERE \"Record\" = '1' + ' ' + \"Columbus\" + ' ' + \"Toronto\" + ' ' + \"Los Angeles\" + ' ' + \"1\u20136\" + ' ' + \"Calgary\" + ' ' + \"19,289\" + ' ' + \"Los Angeles\" + ' ' + \"11821711\" + ' ' + \"1\u20133\" + ' ' + \"Los Angeles\" + ' ' + \"18,118\" + ' ' + \"19,127\" + ' ' + \"20,29,3\" + ' ' + \"21,29,3\" + ' ' + \"10,148\" + ' ' + \"11821711\" + ' ' + \"19,127\" + ' ' + \"11821711\" + ' ' + \"12,148\" + ' ' + \"11821711\" + ' ' + \"12,149\" + ' ' + \"11821711\" + ' ' + \"12,149\" + ' ' + \"11821711\" + ' ' + \"12,149\" + ' ' + \"1182",
"SELECT \"other_address_details\" FROM \"Students\" WHERE \"other_address_details\" IS NOT NULL GROUP BY \"other_address_details\" ORDER BY \"other_address_details\" DESC LIMIT 1;",
"SELECT year, month, SUM(species_observed) FROM TundraBiologyStudy WHERE year = 2000 GROUP BY year, month;",
"SELECT \"Season #\" FROM table_1_28019988_5 WHERE \"Production code\" = 'bdf405'",
"SELECT AVG(age) as average_age, MIN(age) as min_age, MAX(age) as max_age FROM \"singer\" WHERE \"Country\" = 'France'",
"SELECT tech, specs, update_date FROM military_tech WHERE update_date >= '2021-01-01'",
"SELECT \"Date\" FROM table_2_10869646_1 WHERE \"Home team\" = 'carlton'",
"SELECT COUNT(DISTINCT Document_ID) FROM \"Ref_Template_Types\" WHERE \"Template_TypeCode\" = 'PPT'",
"SELECT job_category, AVG(weeklyWage) FROM labor_stats GROUP BY job_category;",
"SELECT \"Team\" FROM table_2_14522314_2 WHERE \"Laps\" < '105' AND \"Grid\" < '18' AND \"Points\" = '11'",
"SELECT \"Document_ID\", \"Paragraphs\", \"Number_of_Paragraphs\" FROM \"Paragraphs\" WHERE \"Document_ID\" IS NOT NULL ORDER BY \"Document_ID\";",
"SELECT SUM(amount) FROM MilitaryEquipmentSales WHERE country = 'USA' AND year = 2020",
"SELECT \"Psycho Social Crisis\" FROM table_1_1058787_1 WHERE \"Significant Relationship\" = 'Existential Question'",
"SELECT pet_age FROM Pets(PetID) WHERE PetType = 'dog' AND PetAge >= 1",
"SELECT SUM(usage) FROM water_usage_tx WHERE sector = 'Texas';",
"SELECT \"Notes\" FROM table_2_18662643_8 WHERE \"Rank\" < '2'",
"SELECT \"airline\", \"CountryAbbrev\", \"CountryCode\" FROM \"flights\" WHERE \"CountryAbbrev\" = 'USA' INTERSECT SELECT \"airline\", \"CountryCode\" FROM \"flights\" WHERE \"CountryCode\" = 'USA'",
"SELECT (SUM(CASE WHEN region = 'Midwest' THEN 1 ELSE 0 END) * 100.0 / SUM(CASE WHEN region = 'Midwest' THEN 1 ELSE 0 END)) * 100.0 / SUM(CASE WHEN region = 'Midwest' THEN 1 ELSE 0 END) FROM inclusion_efforts WHERE region = 'Midwest' GROUP BY region;",
"SELECT \"Away team score\" FROM table_2_10767118_16 WHERE \"Venue\" = 'Glenferrie Oval'",
"SELECT Template_Type_Code, Template_Details FROM RefTemplate_Types WHERE Template_TypeCode IS NOT null",
"SELECT condition, COUNT(*) FROM conditions WHERE patient_id IN (1, 2, 3) AND condition = 'depression' AND year(treatment_date) = 2022 GROUP BY condition;",
"SELECT \"1st leg\" FROM table_2_18713505_1 WHERE \"2nd leg\" = 'asil Loti'",
"SELECT AVG(visit.Museum_ID) as avg_tickets, MAX(visit.Museum_ID) as max tickets FROM visit WHERE visit.Museum_ID IN (SELECT \"museum_ID\" FROM `visit` WHERE `Museum_ID` = '16' OR `Museum_ID` = '17' OR `Museum_ID` = '18' OR `Museum_ID` = '19' OR `Museum_ID` = '20' OR `Museum_ID` = '21' OR `Museum_ID` = '22' OR `Museum_ID` = '23' OR `Museum_ID` = '24' OR `Museum_ID` = '25' OR `Museum_ID` = '26' OR `Museum_ID` = '27' OR `Museum_ID` = '28' OR `Museum_ID` = '29' OR `Museum_ID` = '30' OR `Museum_ID` = '31' OR `Museum_ID` = '32' OR `Museum_ID` = '33' OR `Museum_ID` = '34' OR `Museum_ID` = '35' OR `Museum_ID` = '36' OR `Museum_ID` = '37' OR `Museum_ID` = '38' OR `Museum_ID` = '39' OR `Museum_ID` = '40' OR `Museum",
"SELECT AVG(ph) FROM saltwater_aquaculture WHERE location = 'North Atlantic'",
"SELECT \"First elected\" FROM table_1_1342451_38 WHERE \"Incumbent\" = '1917'",
"SELECT \"Teacher_ID\" FROM \"teacher\" WHERE \"Age\" >= '1' ORDER BY \"Age\"",
"SELECT SUM(capacity) FROM wind_farms WHERE state = 'California';",
"SELECT \"Record\" FROM table_2_17104677_11 WHERE \"Date\" = 'september 13'",
"SELECT \"Name\" FROM \"orchestra\" WHERE \"Orchestra_ID\" = 'kirov orchestra'",
"SELECT SUM(capacity) FROM landfills WHERE Location = 'Tokyo' AND Capacity > 100000",
"SELECT \"Crowd\" FROM table_2_10775890_15 WHERE \"Home team\" = 'Hawthorn'",
"SELECT \"people\" FROM \"poker_player\" WHERE \"FinalTableMade\" = 'Ascending' ORDER BY \"people\"",
"SELECT product_name, price FROM products WHERE price > 25.99 AND country_of_manufacture IS NOT 'Canada' OR is_on_sale IS FALSE;",
"SELECT \"Issue Price (BU)[ clarification needed ]\" FROM table_2_11916083_1 WHERE \"Mintage (BU)[ clarification needed ]\" = '29,586'",
"SELECT type, MAX(weight) FROM (SELECT type, MAX(weight FROM Has_Pet WHERE pet_age >= '12' AND pet_age <= '18' GROUP BY type) WHERE weight IS NOT NULL GROUP BY type",
"SELECT year, AVG(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 \"StuID\", \"PetType\", \"pet_age\" FROM \"Pets\" WHERE \"PetType\" = 'pet' AND \"PetID\" IS NOT NULL AND \"LName\" = 'Andreou' AND \"StuID\" = '1021'",
"SELECT City, AVG(DonationDate) AS AverageDonated FROM Donations WHERE DonationDate IS NOT NULL GROUP BY City;",
"SELECT \"Mark\" FROM table_2_16652101_3 WHERE \"Country\" = 'Austria'",
"SELECT \"GPE\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '3' AND \"Language\" = 'lang-1'",
"SELECT SUM(quantity_sold FROM supplier_data_2 WHERE is_organic = TRUE;",
"SELECT \"Affiliation\" FROM table_1_24216139_2 WHERE \"Sport\" = 'Curu''s'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AF' AND \"CountryCode\" = 'AFG' WHERE \"CountryCode\" = 'AFG'",
"SELECT SUM(CASE WHEN type = 'Natural' THEN 1 ELSE 0 END) FROM UNESCO_SITES WHERE name LIKE 'Great Barrier Reef'",
"SELECT \"Deployable military (2011, thousands for gdp nominal) \" FROM news_readership WHERE \"GDP (nominal) (2011, US$ millions)\" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \"",
"SELECT pet_type, weight FROM Has_Pet WHERE pet_age = 1",
"SELECT school_id, AVG(school_id) OVER (SELECT school_id FROM lifelong_learning WHERE school_id IN (SELECT school_id FROM schools WHERE name IN (SELECT name FROM schools WHERE name LIKE '100' = '100' AND name NOT like '100%'')))) FROM lifelonglearning GROUP BY school_id;",
"SELECT \"Result\" FROM table_2_1517334_1 WHERE \"Date\" = '7 june 2000'",
"SELECT country FROM \"car_makers\" WHERE \"Maker\" IS NULL",
"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' GROUP BY episode ORDER BY rating DESC;",
"SELECT City, AVG(Adoption) FROM ElectricVehicleAd adoption JOIN (SELECT Year, Model, Adoption FROM ElectricVehicleAdAdoption WHERE Model = 'Model 3' AND Year = 'Year' GROUP BY Model, Adoption) x WHERE Adoption > x.Addoption;",
"SELECT \"Home team score\" FROM table_2_10750694_7 WHERE \"Venue\" = 'lake oval'",
"SELECT 'city' FROM 'Dogs' WHERE 'city' = 'west' AND 'state' = '6'",
"SELECT JobCategory, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(ApplicantID) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(AppCompetent) as TotalApplicants, sum(VeteranApplicant) as TotalVeteranApplicants, sum(VeteranApplicant) as TotalVeteranApplicants, sum(AppVetantant) as TotalVeterant, sum(AppVetant) as TotalVeterant, sum(AppVetant) as TotalVeterant",
"SELECT \"Team\" FROM table_2_13619135_4 WHERE \"Score\" = 'l 88\u201394 (ot)'",
"SELECT \"StuID\", \"pet_type\", \"pet_age\" FROM \"Student\" WHERE \"pet_age\" > '1' UNION ALL SELECT \"StuID\", \"pet_type\", \"pet_age\" FROM \"Student\" WHERE \"pet_age\" > '1' UNION ALL SELECT \"StuID\", \"pet_type\", \"pet_age\" FROM \"Student\" WHERE \"pet_type\" = 'pet'",
"SELECT COUNT(contractAddress) FROM smart_contracts WHERE contract_address LIKE '0x%';",
"SELECT AVG(\"Points\") FROM table_2_1262579_2 WHERE \"Year\" < '1964'",
"SELECT Document_Name, 'Paragraphs' FROM Document_Details WHERE Document_Details 'k' IS NOT NULL GROUP BY Document_Name, 'Paragraphs'",
"SELECT * FROM organizations WHERE name LIKE 'Tech4Good%' OR name LIKE 'GreenTechAsia%' OR name LIKE 'AIforAsia%'",
"SELECT \"Time\" FROM table_2_15764352_9 WHERE \"Away\" = 'High Park Demons'",
"SELECT \"Earnings\" FROM \"people\" WHERE \"People_ID\" = '1987-1992' AND \"Earnings\" > '10000' ORDER BY \"Earnings\" DESC;",
"SELECT SUM(donation_amount) FROM donors WHERE name LIKE 'John Doe%' AND country = 'USA';",
"SELECT \"To par\" FROM table_2_1323399_2 WHERE \"Runner(s)-up\" = 'John Senden'",
"SELECT MAX(COST_OF_treatment) FROM \"Treatment_Types\" WHERE \"treatment_type_code\" = 'VAC'",
"SELECT COUNT(*) FROM transactions WHERE product LIKE 'Product 3%' AND region = 'Midwest';",
"SELECT \"Record\" FROM news_readership WHERE \"Date\" = 'July 16' AND \"Opponent\" = 'Blue Sox'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Template_TypeCode IS NOT NULL GROUP BY Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_TypeCode, Template_Type",
"SELECT SUM(CASE WHEN permit_id IS NOT NULL THEN 1 ELSE 0 END) FROM building_permits WHERE permit_id = 1 AND state = 'New York' AND issue_date >= '2021-01-01';",
"SELECT \"Institution\" FROM \"table_1_262514_1\" WHERE \"Nickname\" = 'Ravens'",
"SELECT \"Country\" FROM \"flights\" WHERE \"Airline\" = 'JetBlue Airways'",
"SELECT MAX(accountBalance) FROM shariah_compliant_finance WHERE customer_id = 1",
"SELECT \"HT\" FROM table_1_13869651_3 WHERE \"Model number\" = 'athlon x2 5200b'",
"SELECT documentid FROM Document_Types WHERE documentid NOT IN (9, 10)",
"SELECT Site_Name, AVG(Average_Temperature) AS Avg_Temperature FROM Production_Sites WHERE Average_Temperature IS NOT NULL GROUP BY Site_Name ORDER BY Avg_Temperature;",
"SELECT \"2009\" FROM table_2_10510022_2 WHERE \"2009\" = 'w'",
"SELECT shop_name, MAX(employee_id, '0') as number_of_employees FROM (SELECT shop_name, employee_id, MAX(employee_id) as number_of_employees FROM \"hiring\" WHERE shop_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) as \"hiring\" GROUP BY shop_name) as \"employees\" WHERE number_of_employees = '10'",
"SELECT ProgramName, AVG(DonationAmount) OVER (10000000.0000) AS AvgDonationAmount FROM Programs GROUP BY ProgramName;",
"SELECT \"Result\" FROM table_2_14068325_1 WHERE \"Match\" > '16' AND \"Match\" = 'SL' AND \"Country\" = 'India'",
"SELECT name FROM poker_player WHERE people_Poker_Player_ID IN (5, 6, 7) ORDER BY name",
"SELECT product_id, certification_name FROM product_labor_certifications WHERE certification_id IN (1, 2) UNION all SELECT product_id, certification_id FROM product_id UNION ALL SELECT product_id, certification_id FROM product_id WHERE certification_id = 1 UNION ALL SELECT product_id, certification_id FROM product_id);",
"SELECT \"division\" FROM table_1_27274566_2 WHERE \"result\" = '0\u20132'",
"SELECT model FROM \"car_makers\" WHERE \"Model\" != 'ford' AND \"Model\" < '3500'",
"SELECT country, AVG(YearsOfExperience) OVER (ORDER BY AVG(YearsOfExperience)) FROM ArtistsDemographics GROUP BY country;",
"SELECT \"Run 1\" FROM news_readership WHERE topic = 'table 2_17010996_2' AND country = 'france'",
"SELECT course_name, course_id FROM \"Students_Enrolment_Courses\" WHERE course_id IS NOT NULL AND course_id < 2",
"SELECT COUNT(*) FROM species_inventory WHERE region = 'Indian Ocean';",
"SELECT \"Position\" FROM table_1_12165135_1 WHERE \"Overall Pick #\" = '17'",
"SELECT airline FROM 'flights' WHERE 'flights' < '200'",
"SELECT MIN(ships_weight) FROM ports JOIN shipments ON ports.port_id = shipments.ship_id WHERE ports.port_name = 'Port of Tokyo' AND shipments.ship_date = '2018-01-01';",
"SELECT surface FROM table_2_1028366_6 WHERE \"Surface\" = 'eastbourne'",
"SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Year_of_Founded\" < '2003' UNION SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Year_of_Founded\" > '2003' UNION SELECT \"Orchestra\" FROM \"orchestra\" WHERE \"Year_of_Founded\" > '2003' UNION SELECT \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION SELECT \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT NULL UNION \"Orchestra\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IS NOT",
"SELECT name, year FROM military_innovation WHERE year >= 2010",
"SELECT \"Money ( $ )\" \" FROM table_2_17231211_7 WHERE \"Place\" \"t4\" \"Country\" \"United States\" \"Score\" \"150,000\" \"Money ( $ )\" \" FROM table_2_17231211_7 WHERE \"Place\" \"t4\" \"Country\" \"United States\" \"Money ( $ )\" \"",
"SELECT \"battle\" FROM news_readership WHERE `killed` = 'Bulgar commander' AND `killed` != 'Baldwin I' AND `killed` != 'Bulgar commander' AND `killed` != 'Kaloyan' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Kaloyan' AND `killed` != 'Bulgar commander' AND `killed` != 'Kaloyan' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Kaloyan' AND `killed` != 'Kaloyan' AND `killed` != 'Kaloyan' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed` != 'Bulgar commander' AND `killed`",
"SELECT city, AVG(CASE WHEN event_name = 'Jazz Concert' THEN 1 ELSE 0 END) * 2 / COUNT(*) FROM Visitors WHERE city = 'New Orleans' GROUP BY city HAVING city = 'New Orleans' AND event_name = 'Jazz Concert';",
"SELECT \"School/Club Team\" FROM table_2_15463188_5 WHERE \"Season\" = '2006-2012'",
"SELECT MAX(accelerate) FROM cars_data",
"SELECT SUM(Amount) FROM Budget WHERE Year = 2021 AND Service = 'Housing' AND Region = 'South'",
"SELECT \"District\" FROM table_2_17922056_1 WHERE \"Constituency number\" = '16'",
"SELECT COUNT(DISTINCT `Transcript_Contents`.course_id) FROM `Transcript_Contents` WHERE `other_details` = 'no'",
"SELECT founding_year, sum(gender == 'Female' as sum from 0) as female_founders FROM companies WHERE gender = 'Female' GROUP BY founding_year;",
"SELECT \"Tries for\" FROM table_1_13564637_5 WHERE \"Losing bonus\" = '8'",
"SELECT MIN(employees.engine_product_name), MAX(employees.engine_product_name) FROM (SELECT \"Shop_ID\" FROM \"shop\" WHERE \"Name\" LIKE 'FC Haka' LIKE 'Finnair Stadium' LIKE 'Finnair Stadium' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka' LIKE 'FC Haka'",
"SELECT SUM(CASE WHEN budget > 12000000 THEN 1 ELSE 0 END) FROM climate_adaptation_projects WHERE completion_year BETWEEN 2015 AND 2017;",
"SELECT \"Winning Team\" FROM table_2_18261246_3 WHERE \"Round\" = '9'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE Document_Typedef_Code IS NOT NULL",
"SELECT r.region_name, SUM(r.volume) FROM timber_harvest r WHERE r.year = 2020 GROUP BY r.region_name;",
"SELECT \"Club\" FROM table_2_1640927_1 WHERE \"Founded\" < '1882' AND \"League\" = 'fa premier league'",
"SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" = '707' UNION ALL SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" = '707' UNION ALL SELECT \"Country\" FROM \"TV_series\" WHERE \"Channel\" = '708'",
"SELECT borough.name, sum(num_vehicles) FROM boroughs WHERE num_vehicles > 12 GROUP BY boroughs.name;",
"SELECT \"High assists\" FROM table_1_11964154_2 WHERE \"Score\" = '1\u20133'",
"SELECT people.Name FROM people WHERE people.Nationality = 'Russia'",
"SELECT age, COUNT(nursing_id) FROM patients WHERE patient_id = 40 AND diagnosis = 'heart disease' AND location = 'rural Australia' GROUP BY age ORDER BY age DESC;",
"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) FROM store;",
"SELECT student_id FROM student_lifelong_learning WHERE student_id NOT IN (SELECT student_id FROM student_lifelong_learning WHERE student_id = 1);",
"SELECT \"Chosen by\" FROM table_2_15918328_28 WHERE \"Couple\" = 'Katee Shean Joshua Allen' AND \"Choreographer(s)\" = 'Nakul Dev Mahajana Nag'",
"SELECT \"CountryCode\" FROM countrylanguage WHERE \"CountryCode\" = '61'",
"SELECT District, SUM(CASE WHEN ProgramYear >= 2000 THEN 1 ELSE 0 END) as TotalPrograms, MAX(CASE WHEN ProgramYear >= 2000 THEN ProgramYear ELSE 0 END) as MaxPrograms, MAX(PowerYear >= 2000 THEN PowerYear ELSE 0 END) as PowerYear, MAX(PowerYear, ProgramYear) as MaxPowerYear, MAX(PowerYear, ProgramYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear, PowerYear",
"SELECT \"Score\" FROM table_2_18811891_5 WHERE \"To par\" = 'nick taylor (a)'",
"SELECT \"hiring\" FROM \"hiring\" WHERE \"Shop_ID\" IS NOT NULL GROUP BY \"shop_ID\"",
"SELECT mine_name, SUM(production_tons) FROM gold_mines WHERE country = 'Australia' GROUP BY mine_name ORDER BY SUM(production_tons) DESC LIMIT 1;",
"SELECT \"Viewers\" FROM table_2_16225725_4 WHERE \"Episode\" = 'A Family Affair'",
"SELECT \"title\" FROM \"TV_series\" WHERE \"Channel\" = 'Sky Radio'",
"SELECT COUNT(*) FROM SpaceMissions WHERE name LIKE 'Apollo%' AND year < 2000;",
"SELECT \"Score\" FROM table_2_17162239_4 WHERE \"To par\" = 'Billy Andrade'",
"SELECT \"Country\" as \"Language\", \"Hight_definition_TV\" as \"Hight_definitionTV\", \"18_49_RatingShare\" as \"18_49_RatingShare\", \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_Rating\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as \"18_49_RatingShare\" as",
"SELECT AVG(LENGTH ), SUM( LENGTH ) FROM underWATER_CABLES WHERE LENGTH >= 12000 GROUP BY LENGTH;",
"SELECT \"Release Date\" FROM table_2_11946231_6 WHERE \"Model\" = 'precision m60'",
"SELECT `killed` FROM \"death\" WHERE `caused_by_ship_id` = '1' AND `killed` IS NOT NULL;",
"SELECT COUNT(DISTINCT client_id) FROM clients WHERE client_id IN (SELECT client_id FROM clients WHERE region = 'Oceanian');",
"SELECT \"Year\" FROM table_2_1637981_7 WHERE \"Lansing (L)\" = 'Detroit'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Maker\" = 'ford' AND \"car_makers\" LIKE '%1%';",
"SELECT location, type, COUNT(*) FROM long_term_care GROUP BY location, type;",
"SELECT \"Production Code\" FROM table_1_2343740_1 WHERE \"Original Air Date\" = '1979-01-02'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Citizenship\" = 'United States'",
"SELECT Budget * 2.0 AS ratio FROM EducationBudget WHERE Year IN (2018, 2019);",
"SELECT \"Film\" FROM table_2_15291575_1 WHERE \"Notes\" = 'Taylor'",
"SELECT student_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend_id, friend",
"SELECT COUNT(name) FROM biosensor_development WHERE year = 2021",
"SELECT \"The Visit\" FROM table_1_2818164_5 WHERE \"Production code\" = '418'",
"SELECT shop_name, COUNT(employee_id) FROM (SELECT shop_name, COUNT(employee_id) FROM employee WHERE shop_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) GROUP BY shop_name) GROUP BY shop_name;",
"SELECT AVG(rating) FROM eco_hotels WHERE country = 'Spain';",
"SELECT \"Discovery\" FROM table_2_13227197_2 WHERE \"Reserves\" = 'lundin'",
"SELECT shop_location, COUNT(employee_id) FROM (SELECT shop_location, employee_id, 1 AS age FROM shop_readership WHERE shop_location IS NOT NULL AND employee_id IS NOT NULL AND employee_id IS NOT NULL AND country = 'India' GROUP BY shop_location) AS subquery GROUP BY shop_location HAVING COUNT(employee_id) > 1",
"SELECT country, SUM(year) FROM SpaceMissions GROUP BY country;",
"SELECT \"Studio analysts\" FROM table_2_11829563_7 WHERE \"Ice level reporters\" = 'Scott Oake'",
"SELECT COUNT(DISTINCT \"country\") FROM \"car_makers\" WHERE \"Maker\" = 'Fiat' GROUP BY \"CountryName\" WHERE \"CountryName\" = 'Fiat'",
"SELECT AVG(Moons) FROM SolarSystem;",
"SELECT \"Nationality\" FROM table_2_12018584_1 WHERE \"Tonnage\" > '5,507' AND \"Sunk by\u2026\" = 'u-584'",
"SELECT \"Earnings\" FROM \"people\" WHERE \"People_ID\" = '1987-1992' AND \"Earnings\" > '10000'",
"SELECT SUM(installed_capacity FROM Renewable_EnergyProjects WHERE country = 'US';",
"SELECT \"Res.\" FROM table_2_15218850_2 WHERE \"Record\" = '3-0'",
"SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IN (3, 2, 1, 0, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2, 1, 3, 2",
"SELECT BrandName, SUM(quantity FROM Brands WHERE Quantity > 0 GROUP BY BrandName ORDER BY SUM(quantity DESC;",
"SELECT \"Average\" FROM table_2_1585656_15 WHERE \"Player\" = 'matthew edward \" (18 inns.)'",
"SELECT \"grade\" FROM (SELECT \"grade\" FROM (SELECT \"grade\" FROM \"Highschooler\" WHERE \"name\" LIKE 'Cassandra' AND \"name\" LIKE 'Cassandra%') AS \"Highschooler\" WHERE \"name\" LIKE 'Cassandra%' AND \"name\" LIKE 'Cassandra%'') AS \"Highschooler\" WHERE \"name\" LIKE 'Cassandra%'') AS \"grade\"",
"SELECT AVG(oil_production) FROM (SELECT oil_production FROM wells WHERE location = 'North Sea' AND production_date >= '2020-10-01' AND production_date < '2020-11-01' GROUP BY oil_production) AS subquery",
"SELECT \"High points\" FROM table_1_13464416_4 WHERE \"Game\" = '7'",
"SELECT first_name FROM \"Professionals\" WHERE \"professional_id\" IS NOT NULL AND \"role_code\" = 'VAC' UNION SELECT first_name FROM \"Dogs\" WHERE \"dog_id\" IS NOT NULL;",
"SELECT AVG(price) FROM hotel_prices WHERE city IN ('Tokyo', 'Osaka');",
"SELECT \"Attendance\" FROM table_2_18226024_2 WHERE \"Venue\" = 'Los Angeles Memorial Coliseum'",
"SELECT AVG('ravi van der vaart's age') FROM visitor WHERE 'ravi van der vaart' 'level_of membership' <= 4;",
"SELECT SUM(location = 'Rural' FROM schools",
"SELECT \"Head coach\" FROM table_2_17327264_2 WHERE \"Team\" = 'finke'",
"SELECT MAX(\"Stadium_ID\") as max_capacity, AVG(\"Average\") as avg_of_cities FROM \"stadium\" WHERE \"Stadium_ID\" IN (1, 2, 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 AVG(rainfall) FROM rainfall_asia WHERE year >= 2015 GROUP BY year;",
"SELECT \"Pole position\" FROM table_2_1140099_1 WHERE \"Fastest lap\" = 'Jim Clark'",
"SELECT dogs.name FROM dogs WHERE dogs.treatment_type_description = 'WALK' AND dogs.treatment_type_code = 'WALK' AND owners.treatment_type_code = 'WALK' AND owner_id NOT IN (SELECT owner_id FROM owners WHERE owner_id = owners.first_name);",
"SELECT SUM(i) FROM community_policing i WHERE i.country = 'India' AND i.initiative = 'Neighborhood Watch';",
"SELECT \"Try Bonus\" FROM table_1_15467476_2 WHERE \"Losing Bonus\" = '30'",
"SELECT MIN('Viewers_m') AS min_share, MAX('Viewers_m') AS max_share FROM \"TV_series\";",
"SELECT SUM(Funding.amount) FROM Funding WHERE Funding.donor_id = Funding.donor_id AND Funding.organization_id = 'India';",
"SELECT \"Finish\" FROM table_2_1708014_3 WHERE \"Finish\" = '1'",
"SELECT SUM(1) FROM visitor WHERE visitor_ID IN (8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 109, 110) FROM visit WHERE visitor_ID IN (8, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 5",
"SELECT COUNT(DISTINCT course_id) FROM lifelong_learning WHERE student_id = 2;",
"SELECT \"1956\u20131968\" FROM table_2_1060790_5 WHERE \"1969\" = 'QF'",
"SELECT SUM(Museum_ID) FROM visitor WHERE visitor_ID IN (8, 12, 16, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 129, 130, 132, 134, 136, 138, 139, 140, 142, 144, 146, 148, 1",
"SELECT SUM(quantity_sold FROM menu WHERE category = 'Appetizers' AND cuisine = 'Asian';",
"SELECT \"PSIP Short Name\" FROM table_2_1632976_1 WHERE \"Aspect\" = '4:3'",
"SELECT first_name, last_name FROM \"Treatment_Types\" WHERE cost_of_treatment < '10'",
"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 \"CountryCode\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'AR'",
"SELECT category, SUM(CASE WHEN category = 'DeFi' THEN 1 ELSE 0 END) + CASE WHEN category = 'Uniswap' THEN 1 ELSE 0 END) FROM smart_contracts GROUP BY category;",
"SELECT \"Record\" FROM table_1_17355716_10 WHERE \"High rebounds\" = 'Mehmet Okur (15)'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Citizenship\" = 'Chile' UNION SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Citizenship\" = 'United States'",
"SELECT strain, MAX(quantity) FROM sales WHERE state = 'Colorado' AND year = 2021 GROUP BY strain;",
"SELECT \"City\" FROM table_2_16304368_1 WHERE \"Oil Pattern\" = 'Chameleon'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" = 'russia' AND \"Country\" IS NOT NULL GROUP BY \"car_makers\" ORDER BY \"car_makers\" DESC;",
"SELECT SUM(revenue) FROM canada_sales_revenue WHERE garment_type = 'men''s' AND revenue > 0",
"SELECT \"Candidates\" FROM table_1_1342451_38 WHERE \"Incumbent\" = 'Samuel J. Nicholls'",
"SELECT \"car_makers\" FROM \"car_makers\" WHERE \"Country\" = 'france'",
"SELECT MAX(resolution_date) FROM cases WHERE case_type = 'Restorative Justice' AND case_id IN (1);",
"SELECT \"Flange thickness (mm)\" FROM table_1_2071644_2 WHERE \"Flange thickness (mm)\" = '100'",
"SELECT \"Country\" FROM \"singer\" WHERE \"Age\" > 40 INTERSECT SELECT \"Country\" FROM \"singer\" WHERE \"Age\" < 30",
"SELECT name FROM maritime_accidents WHERE ocean = 'Pacific Ocean';",
"SELECT \"Year\" FROM table_2_1842080_3 WHERE \"Position\" = '9'",
"SELECT \"singer\" FROM \"stadium\" WHERE \"Stadium_ID\" = '10'",
"SELECT occupation, AVG(score FROM financialCapability_3 GROUP BY occupation ORDER BY occupation;",
"SELECT \"Result\" FROM table_2_1630554_5 WHERE \"Venue\" = 'a' AND \"Opponent\" = 'manchester united'",
"SELECT SUM('GNP') FROM countrylanguage WHERE 'CountryCode' = 'NLD' AND 'Language' = 'NLD' UNION ALL SELECT 'GNP' FROM countrylanguage WHERE 'CountryCode' = 'NLD' AND 'Language' = 'NLD';",
"SELECT team, AVG(games) FROM nba_schedule GROUP BY team;",
"SELECT \"Date\" FROM table_2_13982978_2 WHERE \"Week\" > '1' AND \"Game site\" = 'bye'",
"SELECT model FROM cars_data WHERE ModelId IN (7, 8, 9) AND Model <> 'Fiat' AND Model <> 'Chrysler' AND Model <> 'Chrysler' AND Model <> 'Nissan' AND Model <> 'Plymouth' AND Model <> 'Ford'",
"SELECT SUM(TicketSales.TicketsSold) FROM TicketSales WHERE event_type = 'Concert' AND location = 'Outdoor Stadium' AND month = 'Summer';",
"SELECT \"Constituency number\" FROM table_2_18517491_1 WHERE \"Name\" = 'Pandh\u0101s'",
"SELECT \"Singer_ID\" FROM \"singer\" WHERE \"Citizenship\" = 'United States'",
"SELECT AVG(capacity) FROM factories WHERE capacity > 0 GROUP BY location;",
"SELECT \"First elected\" FROM table_1_1342233_42 WHERE \"District\" = 'Tennessee'",
"SELECT airport_name FROM 'flights' WHERE 'flights' = 'AND' 'out' 'out' UNION 'flights' 'in' 'IN'",
"SELECT DISTINCT name FROM crops WHERE farm_id IN (SELECT id FROM crops WHERE name LIKE 'Rice%' AND year_of_harvest >= '2022-01-01');",
"SELECT \"Driver\" FROM table_2_1790368_2 WHERE \"Q1 pos\" > '2' AND \"Driver\" = 'rnege'",
"SELECT date_of_treatment, date_departed FROM Treatment_Types WHERE type_code = 'WALK'",
"SELECT dataset, AVG(avgTime FROM testing_times WHERE algorithm = 'random_forest' GROUP BY dataset ORDER BY AVGAvgTime DESC LIMIT 3;",
"SELECT \"Venue\" FROM table_2_10775038_16 WHERE \"Home team\" = 'fitzroy'",
"SELECT ' ' + ' ' AS 'id' FROM 'flights' WHERE 'id' IS NOT NULL",
"SELECT AVG(Age) FROM Members WHERE FavoriteExercise = 'Cycling';",
"SELECT \"Rank\" FROM table_2_16478687_4 WHERE \"Population\" = '7,069,000'",
"SELECT \"student_id\" FROM \"Friend\" WHERE \"student_id\" = '1661'",
"SELECT SUM(amount) FROM Donations WHERE department = 'Food';",
"SELECT \"Network\" FROM table_1_28190363_1 WHERE \"Network\" = 'pete goffe-wood andrew atkinson benny masekwameng'",
"SELECT `vote_id`, `phone_number`, `state` FROM `VOTES` WHERE `vote_id` IS NOT NULL;",
"SELECT 'percentage' FROM crop_distribution WHERE 'crop' = 'crops' AND 'Crop' = 'crops';",
"SELECT \"Player\" FROM table_2_10650829_1 WHERE \"Position\" = 'kicker'",
"SELECT \"car_makers\" FROM cars_data WHERE \"MPG\" > '150' AND \"MPG\" > '17' AND \"car_makers\" IN ('uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sweden', 'uk', 'russia', 'france', 'sw",
"SELECT date, quantity, sum(quantity as resource_depletion_quantity FROM resource_depletion WHERE resource_depletion.resource IN ('Coal', 'Iron') GROUP BY date, sum(quantity, sum-quantity ORDER by date, sum-quantity;",
"SELECT \"Korean\" FROM table_2_15081312_1 WHERE \"Ko\" = 'Ko' AND \"Kho\" = 'Kho' AND \"Kho\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X\u00e1\" \"X",
"SELECT \"series_name\" FROM \"TV_series\" WHERE \"Episode\" = 'A Love of a Lifetime'",
"SELECT SUM(budget) FROM annual_budget WHERE year = 2022;",
"SELECT \"Home team score\" FROM table_2_10808681_1 WHERE \"Home team\" = 'Glenferrie Oval'",
"SELECT \"singer\" FROM \"stadium\" WHERE \"Stadium_ID\" = '10' GROUP BY \"singer\"",
"SELECT AVG(population) FROM Species WHERE region = 'Pacific';",
"SELECT \"Pick #\"\" FROM news_readership WHERE \"Player\" = 'Gary Kubiak'",
"SELECT AVG(transcript_date) FROM \"Transcript_Contents\" WHERE \"student_course_id\" = (SELECT \"student_enrolment_id\" FROM \"Student_Enrolment_Courses\" WHERE \"student_enrolment_id\" IN (SELECT \"student_enrolment_id\" FROM \"Students\" WHERE \"student_id\" = '1' AND \"current_address_id\" = '1' )), \"transcript_id\" IN (SELECT \"transcript_id\" FROM \"Transcript_Contents\" WHERE \"student_course_id\" = '6' )), \"transcript_date\" = '1971-05-17' UNION SELECT \"transcript_date\" FROM \"Transcript_Contents\" WHERE \"student_course_id\" = '6'",
"SELECT MAX(mental_health_score) FROM student WHERE student_id IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20); 2021-09-02);",
"SELECT \"Largest ethnic group (2002)\" FROM table_1_2562572_20 WHERE \"Dominant religion (2002)\" = 'kosan\u010di\u0107'",
"SELECT \"GlobalP\" as \"continent\", \"GlobalN\" as \"Percentage\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'afg' UNION ALL SELECT \"GlobalN\", \"GlobalN\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"GlobalN\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\" UNION ALL SELECT \"CountryCode\", \"CountryCode\" FROM \"countrylanguage\"",
"SELECT T1.customer_id, T1.name FROM customers AS T1 JOIN transactions AS T2 WHERE T2.id = T2.customer_id AND T2.amount = 100 AND T2.amount > 500",
"SELECT \"Total points\" FROM table_1_24784769_1 WHERE \"Rank\" = '1' AND \"Rank\" = '1'",
"SELECT country, \"Language\" as \"Largest Percentage\", \"Population\" as \"Population\" as \"Country Code\", \"Country Code\" as \"Country Code\" FROM countrylanguage WHERE \"CountryCode\" IS NOT NULL GROUP BY \"CountryCode\" ORDER BY \"Largest Percentage\" DESC, \"Country Code\" DESC, \"Country Code\" LIMIT 10",
"SELECT sum(RunningTime) FROM GenreRunningTimes WHERE Genre = 'The Godfather'",
"SELECT \"Directed by\" FROM table_1_23483182_1 WHERE \"Production code\" = '414'",
"SELECT \"people_People_ID\" FROM \"people\" WHERE \"people_People_ID\" IN (SELECT \"people_People_ID\" FROM \"people\" WHERE \"people_People_ID\" \"Nationality\" \"Nationality\") GROUP BY \"people_People_ID\" HAVING \"people_People_ID\" \"Nationality\" \" \"",
"SELECT name, SUM(units_produced) OVER (ORDER BY units_produced DESC) AS total_units FROM worker;",
"SELECT \"Driver\" FROM table_1_18893428_1 WHERE \"Report\" = '1907'",
"SELECT \"Country\" FROM \"flights\" WHERE \"Airline\" = 'JetBlue Airways'",
"SELECT Program, Amount, SUM(Amount) OVER (ORDER BY Amount DESC) as TotalAmount FROM Donations WHERE DonationID IN (1, 2, 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, 10000) GROUP BY Program, Amount ORDER BY TotalAmount DESC;",
"SELECT \"Name\" FROM table_2_167446_1 WHERE \"Displacement\" = '8,305 t'",
"SELECT MAX(\"Earnings\") FROM \"poker_player\";",
"SELECT SiteName, Country, Year, AVG(ArtifactWeight) OVER (1) AS AvgWeight, ROW_NUMBER() OVER (ORDER BY AvgWeight DESC) AS WeightedRank, WeightedRank FROM (SELECT SiteName, Country, Year, ArtifactWeight, AVG(ArtifactWeight) OVER (1) AS AvgWeight, WeightedRank) AS WeightedArtworkWeight, ROW_NUMBER() OVER(1) AS WeightedRank, WeightedWeight, RowNo) AS WeightedArtwork WHERE WeightedRank IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10);",
"SELECT \"Year\" FROM table_1_12243817_1 WHERE \"Champion\" = 'Dewi Claire Schreefel'",
"SELECT \"Orchestra\", \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" IN (1, 2, 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, 75, 76, 7",
"SELECT donor_name, SUM(donation_amount) FROM Donors WHERE sector = 'Education' AND region = 'Americas' AND donation_date >= '2019-01-01-2019-01-01' GROUP BY donor_name ORDER BY SUM(donation_amount) DESC LIMIT 3;",
"SELECT MAX(\"Completed\") FROM table_2_16221280_1 WHERE \"Statue\" = '11 m'",
"SELECT AVG(hp) FROM cars_data WHERE ModelId IN (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, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, ",
"SELECT sector, SUM(amount) FROM climate_finance_oceania WHERE country = 'New Zealand' GROUP BY sector, SUM(amount)",
"SELECT \"Partner\" FROM table_1_2259502_2 WHERE \"Score\" = '1-6, 2-6'",
"SELECT \"Name\" FROM \"hiring\" WHERE \"Employee_ID\" = '10'",
"SELECT SUM(production) FROM mine WHERE name = 'Lebedinsky GOK'",
"SELECT \"Year\" FROM table_2_18391739_1 WHERE \"Stage winner\" = 'yellow jersey'",
"SELECT name, tonnage as alphaical_tonn, order as order as order from \"battle\" where \"date\" = '1206-01' union all union all where \"date\" = '1206-02' union all where \"date\" = '1206-03' union all where \"date\" = '1206-04' union all where \"date\" = '1206-05' union all where \"date\" = '1206-06' union all where \"date\" = '1206-07' union all where \"date\" = '1206-08' union all where \"date\" = '1206-09' union all where \"date\" = '1206-10' union all where \"date\" = '1206-11' union all where \"date\" = '1206-12' union all where \"date\" = '1206-13' union all where \"date\" = '1206-14' union all where \"date\" = '1206-15' union all where \"date\" = '1206-16' union all where \"date\" = '1206-17' union all where \"date\" = '1206-18' union all where \"date\" = '1206",
"SELECT MAX(Expenditure) FROM MilitaryExpenditure WHERE Year = 2020;",
"SELECT \"Work title\" FROM table_1_24521345_1 WHERE \"Conductor\" = 'jaroslav Vogel'",
"SELECT \"singer\" FROM \"singer\" WHERE \"Song_Name\" LIKE 'Hey'",
"SELECT MAX(distance FROM astrophysics_research WHERE research_id IN (1, 2, 3, 4, 5);",
"SELECT \"Player\" FROM table_1_14342592_5 WHERE \"Extra points\" > \"0\"",
"SELECT \"other_details\" FROM \"Students\" WHERE \"other_student_details\" = 'no' AND \"other_student_details\" != 'no' AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL AND \"student_enrol",
"SELECT case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case_id, case",
"SELECT \"Height\" FROM table_2_1594415_2 WHERE \"Claimant\" = 'South Ossetia'",
"SELECT \"CountryCode\" FROM \"country\" WHERE \"CountryCode\" = '1' UNION SELECT \"CountryCode\" FROM \"countrylanguage\" WHERE \"CountryCode\" = '1'",
"SELECT judge_name, SUM(caseCount FROM criminal_cases GROUP BY judge_name;",
"SELECT \"Year\" FROM table_2_16900662_8 WHERE \"Loser\" = 'New York Giants' AND \"Winner\" = 'New York'",
"SELECT \"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 \"Time\" = 'highest'",
"SELECT COUNT(DISTINCT conductor.Conductor_ID) FROM conductor",
"SELECT AVG(Age) FROM CommunityHealthWorkers WHERE Gender = 'Female' GROUP BY State;",
"SELECT \"Week 1\" FROM table_2_17993994_7 WHERE \"Week 2\" = 'mandy lynn'",
"SELECT shop_name FROM shop_readership WHERE country = 'India' GROUP BY shop_name ORDER BY AVG( readership ) DESC LIMIT 10;",
"SELECT location, AVG(extraction_rate) OVER (ORDER BY location) as average_extraction_rate FROM miningSites WHERE extraction_rate > '18.9' GROUP BY location;",
"SELECT \"Socket\" FROM table_2_18823880_6 WHERE \"sSpec number\" = 'sr0pk(e1)'",
"SELECT \"teacher\" as \"Teacher_Name\", \"Teacher_ID\" as \"Teacher_ID\", \"Teacher_Name\" as \"Teacher_Name\" FROM \"teacher\" WHERE \"Teacher_ID\" IS NOT NULL GROUP BY \"Teacher_Name\" ORDER BY \"Teacher_Name\"",
"SELECT AVG(Playtime) FROM Player_Details WHERE Game_Name = 'Cybernetic Shift';",
"SELECT \"Consistency & Participation\" FROM table_2_1857_3 WHERE \"Majority\" = 'No' AND \"Condorcet\" = 'No'",
"SELECT district, AVG(population) as avg_population FROM news_readership WHERE country = 'India' GROUP BY district;",
"SELECT SUM(members) FROM union_tech WHERE members > 0",
"SELECT MAX(\"Year\") FROM table_2_1235976_1 WHERE \"Points\" > '0'",
"SELECT student_id, sum(readership) as number_of_friends_readership from Highschooler where country = 'India' group by student_id having sum(readership) > 0;",
"SELECT market_share, 0.65 FROM market_share WHERE drug_name = 'JKL-012' AND year = 2022 AND quarter = 3",
"SELECT MIN(\"Decile\") FROM table_2_12197750_7 WHERE \"Name\" = 'ohau school'",
"SELECT \"GNPOld\" FROM countrylanguage WHERE \"CountryCode\" = 'AR' GROUP BY \"CountryCode\"",
"SELECT COUNT(CASE WHEN completion_year = 2021 THEN completion_date END) FROM community_development WHERE initiative_name = 'School Construction'",
"SELECT \"PSIP Short Name\" FROM table_2_1632976_1 WHERE \"Aspect\" = '4:3' AND \"PSIP Short Name\" = 'ibc-tv'",
"SELECT \"StuID\" FROM \"Student\" WHERE \"LName\" LIKE 'Paw' OR \"LName\" LIKE 'Dog' OR \"LName\" LIKE 'Cat' ORDER BY \"StuID\" LIMIT 1",
"SELECT route_type, date, SUM(passengerCount) FROM Fares WHERE Fares RouteType = 'Route Type' GROUP BY route_type, date;",
"SELECT \"High rebounds\" FROM table_1_27756314_10 WHERE \"Date\" = 'march 25'",
"SELECT count(Dogs.breed_id) FROM Dogs WHERE Dogs.treatment_id IS NULL;",
"SELECT safety_rating FROM Vehicles WHERE make = 'BMW' AND model = '3 Series' AND manufacturing_date = '2022-01-01';",
"SELECT \"Stolen Ends\" FROM table_1_25714995_2 WHERE \"Ends Lost\" = '3'",
"SELECT \"name\" FROM \"teacher\" WHERE \"name\" NOT LIKE 'Kearsley Brown'",
"SELECT artist FROM Art WHERE gallery = 'Modern Art' GROUP BY artist ORDER BY sum(piece_name DESC LIMIT 1;",
"SELECT \"L2-Cache\" FROM table_2_16341329_3 WHERE \"Frequency\" = '1333\u2009MHz' AND \"Model Number\" = 'c3 1.3a'",
"SELECT year FROM cars_data WHERE weight > 3000 INTERSECT SELECT year FROM cars_data WHERE weight < 4000",
"SELECT project_id, organization_id, sum(budget) FROM organizations INNER JOIN projects ON organizations.project_id = projects.id WHERE projects.name = 'Nepal' GROUP BY project_id, organization_id ORDER BY sum(budget) DESC;",
"SELECT \"Away team score\" FROM table_2_10773616_10 WHERE \"Home team\" = 'geelong'",
"SELECT \"Name\" FROM \"teacher\" WHERE \"Age\" < \"Age\"",
"SELECT SUM(quantity FROM Global_Sales WHERE vehicle_type = 'Electric' AND vehicle_type = 'Hybrid' AND year = 2021;",
"SELECT \"Kunrei-shiki\" FROM table_1_26263954_1 WHERE \"Kana spelling\" = 'onya'",
"SELECT \"Paragraphs\" FROM \"Documents\" WHERE \"Document_Name\" = 'Welcome to NY' WHERE \"Document_Details\" = 'Welcome to NY'",
"SELECT county, SUM(cases_handled) FROM legal_aid_organizations GROUP BY county;",
"SELECT \"Place of action\" FROM table_2_1202355_3 WHERE \"Rank\" = 'Sergeant' AND \"Unit\" = '15th Company, 2nd Marines'",
"SELECT name FROM \"singer\" WHERE \"Citizenship\" != 'FR'",
"SELECT MemberID, SUM(Duration) FROM WorkoutSessions GROUP BY MemberID;",
"SELECT \"Team 2\" FROM table_2_16218722_2 WHERE \"1st leg\" = '0\u20132'",
"SELECT COUNT(DISTINCT `area_code`) FROM `area_code` WHERE `state` = 'CA'",
"SELECT SUM(Revenue) FROM Concerts WHERE VenueID = 1004 UNION ALL SELECT SUM(Revenue) FROM Concerts WHERE VenueID = 1003",
"SELECT \"Nation\" FROM table_2_12392683_3 WHERE \"Bronze\" < '4' AND \"Total\" > '4'",
"SELECT \"stadium_ID\", \"Name\" FROM \"stadium\" WHERE \"Stadium_ID\" = '10'",
"SELECT EventID, MAX(ParticipantName) FROM EventParticipants GROUP BY EventID ORDER BY MAX(ParticipantName) DESC LIMIT 1;",
"SELECT MAX(\"Episode\") FROM table_2_15187735_20 WHERE \"Segment C\" = 'Wood Flutes'",
"SELECT `feature_name` FROM `Other_Available_Fees` WHERE `feature_type_code` = 'AirCon'",
"SELECT SUM(AssistantAttendance.readership) FROM EventAttendance JOIN EventAttendance ASistantAttendance ON EventAttendance.attendee_id = EventAttendance.attee_id WHERE EventAttendance.attee_id IN (1, 2, 3, 4, 5, 6, 7) AND EventAttendance.year BETWEEN 2018 AND 2020;",
"SELECT \"Player\" FROM table_2_11545282_11 WHERE \"School/Club Team\" = 'stanford'",
"SELECT MAX(modellist.PopModel) FROM (SELECT Model, MAX(Peaker) as Model, MAX(Peaker) as Peaker FROM model_list WHERE Peaker IS NOT NULL GROUP BY Model) as Modellist WHERE Modellist.Peaker = '1'",
"SELECT COUNT(name) FROM shark_species WHERE ocean = 'Indian Ocean';",
"SELECT \"Visitor\" FROM table_2_17371135_10 WHERE \"Date\" = 'April 2'",
"SELECT \"players\" FROM \"players\" WHERE \"player_id\" > \"players\"",
"SELECT * FROM investments WHERE sector = 'renewable_energy' ORDER BY risk_score DESC;",
"SELECT \"Vowel final stem\" FROM table_2_1730774_3 WHERE \"Vowel final stem\" != 'o' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'i' AND \"Vowel final stem\" != 'u' AND \"Vowel final stem\" != 'o' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'i' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'i' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'i' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'i' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"Vowel final stem\" != 'a' AND \"Vowel final stem\" != 'e' AND \"",
"SELECT country FROM \"car_makers\" WHERE \"Country\" = 'russia' GROUP BY \"Country\" ORDER BY COUNT(\"MPG\") DESC LIMIT 1",
"SELECT project_id, region, labor_hours, ROW_NUMBER() OVER (ORDER BY labor_hours DESC) as rank FROM project WHERE region = 'Northeast' GROUP BY project_id, region, labor_hours ORDER BY rank DESC;",
"SELECT \"Episode\" FROM table_1_25391981_20 WHERE \"Episode\" = 'week 4, part 2'",
"SELECT Template_TypeCode FROM RefTemplate_Types WHERE Template_TypeCode IS NOT null",
"SELECT name FROM MilitaryAircrafts WHERE ManufacturingDate > '2000-01-01';",
"SELECT \"Athlete\" FROM table_2_17873606_3 WHERE \"Run 1\" > '57.37' AND \"Run 4\" < '59.05' AND \"Run 3\" = '58.08'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"SurfaceArea\" > '1'",
"SELECT MIN(rating) FROM (SELECT year, region, min(rating) as rating FROM RecyclingRates WHERE year = 2019 AND region = 'South America' AND rating = '0.3') as t1 WHERE year = 2019 AND region = 'South America' AND rating = '0.45';",
"SELECT \"Frequency MHz\" FROM table_2_15525566_1 WHERE \"City of license\" = 'Albany, New York'",
"SELECT \"Template_TypeDescription\" FROM RefTemplate_Types WHERE \"Template_TypeCode\" = 'PPT'",
"SELECT SUM(amount) FROM waste_generation WHERE year = 2012",
"SELECT \"W-L ( Doubles ) \" FROM table_1_11233358_2 WHERE \"debut \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \" \"",
"SELECT \"title\" FROM \"Cartoon\" WHERE \"title\" LIKE 'Ben Jones%' OR \"title\" LIKE 'Brandon Vietti%'",
"SELECT lab_name, lab_location FROM marine_research_labs",
"SELECT \"Nationality\" FROM table_2_12014051_2 WHERE \"School\" = 'Florida Tech'",
"SELECT \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '707' UNION ALL SELECT \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '708' UNION ALL SELECT \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '709' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '710' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '711' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '712' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '713' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '714' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '715' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '716' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '717' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '718' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '719' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '720' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '721' UNION ALL \"Channel\" FROM \"TV_series\" WHERE \"Channel\" = '722",
"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_name\" FROM \"CONTESTANTS\" WHERE \"contestant_number\" = '1' INTERSECT SELECT \"contestant_name\" FROM \"CONTESTANTS\" WHERE \"contestant_number\" = '1'",
"SELECT brand, product_count * 100.0 / vegan_product_count as percentage_of_vegan_products FROM brand_ingredient WHERE vegan_product_count > 0 GROUP BY brand;",
"SELECT \"Team\" FROM table_2_10660351_3 WHERE \"time/retired\" = '4:00:30.7537 (retired - fire)' GROUP BY \"team\" ORDER BY \"time/retired\" DESC LIMIT 1",
"SELECT SUM(Airline) FROM news_readership WHERE Country = 'India' GROUP BY 'Airline'",
"SELECT MIN(max_depth) FROM submersible_dives WHERE submersible_name = 'Pacific_Drop'",
"SELECT MIN(\"Total\") FROM table_2_18156085_1 WHERE \"Finish\" = 't47'",
"SELECT COUNT(Likes.student_id) FROM Likes WHERE likes.student_id = 1247",
"SELECT SUM(readership) 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(Documents.DocumentName) FROM Document_Types WHERE Document_Types_Typable = 'PPT' GROUP BY Template_TypeCode;",
"SELECT AVG(BillAmount) FROM (SELECT CaseID, CASE WHEN BillAmount > 12000 THEN CaseID, BillAmount, CASE WHEN BillAmount > 30 THEN BillAmount - 30, BillAmount, CASE WHEN BillAmount = 30 THEN 1 THEN 0 THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN BillAmount THEN Bill",
"SELECT \"New points\" FROM table_1_29572583_20 WHERE \"Status\" = 'fourth round lost to tsvetana pironkova'",
"SELECT \"singer_id\", \"singer_name\", \"country\", \"age\" FROM \"singer\" WHERE \"age\" > '1'",
"SELECT State, SUM(P PermitCount) FROM PermitsByState P WHERE P State = 'United States';",
"SELECT \"Golden Tickets\" FROM table_2_11954383_1 WHERE \"Date\" = '26'",
"SELECT COUNT(DogID) FROM Dogs WHERE age < (SELECT AVG(age) FROM Dogs) WHERE age > 0",
"SELECT name FROM atlantic_fish_farms WHERE dissolved_oxygen > 7.0;",
"SELECT \"Record\" FROM table_1_23284271_10 WHERE \"Score\" = '50-27'",
"SELECT AVG(age) FROM 'Breeds' WHERE 'breed_code' = 'Husky'",
"SELECT name FROM underwater_volcanoes WHERE region = 'Arctic' AND depth > 3000",
"SELECT \"Front Side Bus\" FROM table_2_16341329_1 WHERE \"Frequency\" = '733'",
"SELECT \"tours\" as \"hand_type\", \"tours\" as \"hand_type\", \"tours\" as \"hand_type\", \"tours\" as \"hand_type\", \"tours\" as \"hand_type\" FROM \"players\" WHERE \"tours\" > 0 GROUP BY \"tours\"",
"SELECT country, SUM(CASE WHEN client_country NOT IN ('B', 'K', 'W') THEN 1 ELSE 0 END) AS number_of_clients FROM socially_responsible_loans WHERE client_country IN ('B', 'K', 'W') GROUP BY country;",
"SELECT \"starts\" FROM table_1_19864214_3 WHERE \"year\" = '1977'",
"SELECT COUNT(Car_Name) FROM cars_data WHERE Cylinders > 4",
"SELECT AVG(age) FROM policyholders WHERE state = 'CA' AND policy_type = 'home';",
"SELECT \"Production code\" FROM table_1_23799417_1 WHERE \"Directed by\" = 'Matt Shakman'",
"SELECT property_type_description FROM \"Properties\" WHERE \"property_type_code\" = 'other'",
"SELECT * FROM co_owners WHERE property_id IN (1, 2);",
"SELECT \"Round\" FROM table_2_14106656_7 WHERE \"Position\" = 'defenceman'",
"SELECT name, level_of_membership FROM visitor WHERE age > 4 ORDER BY age;",
"SELECT AVG(Amount) FROM Claims WHERE PolicyID = 1",
"SELECT \"percentage of votes\" FROM table_2_1743713_1 WHERE \"party\" = 'family rights'",
"SELECT \"StuID\" FROM \"Student\" WHERE \"LName\" = 'Schwartz' AND \"Fname\" NOT IN ('Frisch', 'Frisch2', 'Frisch3', 'Frisch4', 'Frisch5', 'Frisch6', 'Frisch7', 'Frisch8', 'Frisch9', 'Frisch10', 'Frisch11', 'Frisch12', 'Frisch13', 'Frisch14', 'Frisch15', 'Frisch16', 'Frisch17', 'Frisch18', 'Frisch19', 'Frisch20', 'Frisch21', 'Frisch22', 'Frisch23', 'Frisch24', 'Frisch25', 'Frisch26', 'Frisch27', 'Frisch28', 'Frisch29', 'Frisch30', 'Frisch31', 'Frisch32', 'Frisch33', 'Frisch34', 'Frisch35', 'Frisch36', 'Frisch37', 'Frisch38', 'Frisch39', 'Frisch40', 'Frisch41', 'Frisch42', 'Frisch43', '",
"SELECT region, q1, q2, q1 - q2 as difference FROM (\n SELECT q1, q2, ROW_NUMBER() OVER (ORDER BY q1) as q1, q2, ROW_NUMBER() OVER (ORDER BY q2) as q2) as region, q1, q2 FROM (SELECT region, q1, q2, ROW_NUMBER() OVER (ORDER BY q1) as q1, q2, ROW_NUMBER() OVER (ORDER BY q2) as q2) as region, q1, q2 FROM news_readership) as temp WHERE q1 - q2 IS NOT NULL",
"SELECT \"Fate\" FROM table_2_17957171_1 WHERE \"Date\" = '26 april 1942'",
"SELECT MAX(\"people\") FROM \"people\";",
"SELECT COUNT(DemicatedDate) FROM Platforms WHERE Date >= '2016-01-01' AND Date < '2017-01-01';",
"SELECT \"Crowd\" FROM table_2_10869537_3 WHERE \"Date\" = '23 april 1973' AND \"Away team score\" = '20.15 (135)'",
"SELECT \"LName\", \"Age\" FROM \"Student\" WHERE \"Age\" IS NOT NULL",
"SELECT SUM(veteran_employment) FROM veteran_employment WHERE state = 'California' AND company = 'ABC';",
"SELECT \"Year of death\" FROM table_2_14672445_7 WHERE \"Notable for\" = 'Darren Bennett'",
"SELECT \"grade\" FROM (SELECT \"grade\" FROM Highschooler WHERE \"grade\" > 10 UNION SELECT \"grade\" FROM Highschooler WHERE \"grade\" < 10) WHERE \"grade\" > 9",
"SELECT SUM(CASE WHEN manufacturer = 'AeroCorp' THEN 1 ELSE 0 END) FROM Aircraft;",
"SELECT \"Episode #\"\" FROM news_readership WHERE \"Viewers (millions)\" = '5000' AND \"Country\" = 'India'",
"SELECT song.Title, song.name FROM song WHERE country = 'India' INTERSECT 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 (car_makers.Fuel, 9) FROM car_makers WHERE fuel = '15'",
"SELECT r.name, SUM(a.type) FROM regions r JOIN art_pieces a ON r.id = a.region_id WHERE a.year > 2020 GROUP BY r.name;",
"SELECT \"License award date\" FROM table_2_10712301_5 WHERE \"Region\" = 'South Wales and the Severn Estuary' AND \"On air date\" = 'July 2001'",
"SELECT MAX(\"money_Rank\") FROM people WHERE \"Earnings\" < 200000;",
"SELECT AVG(balance FROM customers WHERE region = 'West'",
"SELECT \"Date\" FROM table_2_16713178_1 WHERE \"Result\" = 'l 25-13'",
"SELECT \"Name\" FROM teacher WHERE \"Age\" IN (32, 33)",
"SELECT COUNT(Games.ID) FROM Games WHERE Games.GamesYear = 2020",
"SELECT \"Year\" FROM table_2_1233825_1 WHERE \"Chassis\" = 'surtees ts19'",
"SELECT COUNT(DISTINCT `Orchestra_ID`) FROM conductor WHERE `Conductor_ID` = (SELECT `Orchestra_ID` FROM conductor WHERE `Conductor_ID` = 1)",
"SELECT AVG(Gender) FROM Members WHERE Gender = 'Male' AND WorkoutType = 'Weightlifting' GROUP BY MemberID;",
"SELECT \"Location\" FROM table_2_13821848_8 WHERE \"Game\" = '64'",
"SELECT \"flights\" FROM \"flights\" WHERE \"flights\".id = '1' AND \"flights\".flightcode = 'ual'",
"SELECT AVG(salary) as avg_salary, COUNT(s) as num_doctors, AVG(salary) as avg_salary FROM doctors WHERE isIndigenous = true GROUP BY AVG(salary);",
"SELECT \"Original air date\" FROM table_1_23177573_1 WHERE \"Rank (week)\" = '21'",
"SELECT name FROM employee WHERE Employee_ID IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10) GROUP BY name ORDER BY sum(bonuses) DESC LIMIT 1",
"SELECT state, COUNT(name) FROM hospitals GROUP BY state ORDER BY COUNT(name) DESC;",
"SELECT \"Occupation\" FROM table_2_12890300_4 WHERE \"Residence\" = 'Red Bank'",
"SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AO' AND \"CountryCode\" = '123' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AR' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AR' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AR' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language\" FROM countrylanguage WHERE \"CountryCode\" = 'AS' UNION ALL SELECT \"Language",
"SELECT name, market_cap FROM digital_assets WHERE market_cap > 0 ORDER BY market_cap DESC LIMIT 5;",
"SELECT \"U.S. viewers (millions)\" FROM table_1_26808178_1 WHERE \"Series #\" = '12'\"",
"SELECT \"singer\" FROM \"singer\" WHERE \"Singer_ID\" > 0",
"SELECT (COUNT(CASE WHEN AI_chatbot THEN 1 END) * 100.0 / SUM(CASE WHEN AI_chatbot THEN 1 END)) * 100.0 FROM Adoption WHERE city = 'Berlin' AND ai_chatbot THEN 1 * 100.0 / COUNT(CASE WHEN AIchatbot THEN 1 END) * 100.0);",
"SELECT \"Source\" FROM table_2_15125012_1 WHERE \"Attack\" = '9,77%'",
"SELECT COUNT(DISTINCT `student_enrolment_Courses.course_id`) FROM `Students` WHERE `current_address_id` = '10011111-0000-0000-0000-000000000000' AND `course_id` = '13')",
"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 \"player_id\" FROM \"players\" WHERE \"player_id\" IN (SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IN (SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IN (SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IS NOT IN (SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IS 1) UNION SELECT \"player_id\" FROM \"players\" WHERE \"player_id\" IS 0)))",
"SELECT MAX(population) FROM marine_species WHERE location = 'Atlantic';",
"SELECT \"School/Club Team\" FROM table_2_10650829_1 WHERE \"Overall\" = '21'",
"SELECT \"Stadium_ID\" FROM \"concert\" WHERE \"Year\" = '2014' UNION SELECT \"Stadium_ID\" FROM \"concert\" WHERE \"Year\" = '2015'",
"SELECT AVG(rating) FROM movies WHERE director = 'DirectorA' GROUP BY rating ORDER BY AVG(rating) DESC LIMIT 1;",
"SELECT \"College/Junior/Club Team (League)\" FROM table_2_14323142_16 WHERE \"Nationality\" = 'United States'",
"SELECT AVG(Attendance) FROM performance WHERE Type = 'Semi-final'",
"SELECT region, SUM(LOAN_NUMBER) FROM socially_responsible_lending GROUP BY region;",
"SELECT \"Attendance\" FROM table_2_11171219_1 WHERE \"Date\" = 'October 27, 1968'",
"SELECT area_code FROM area_code_state WHERE state = 'CA' INTERSECT SELECT area_code FROM area_code_state WHERE state = 'CA'",
"SELECT AVG(visitors) FROM antarctica_attractions WHERE name LIKE 'Lemire%'",
"SELECT \"District\" FROM table_1_1341843_19 WHERE \"Incumbent\" = 'F. Edward Hebert'",
" SELECT SUM(m.stages) FROM news_readership m WHERE country_code = 'India'",
"SELECT SUM(hours) FROM volunteers WHERE volunteer_date >= '2021-02-03';",
"SELECT \"MLB Team\" FROM table_2_12225593_17 WHERE \"Overall\" < '545' AND \"MLB Team\" = 'San Francisco Giants'",
"SELECT name FROM Highschooler WHERE student_id NOT IN (1)",
"SELECT student_id, score FROM student WHERE score > 75 GROUP BY student_id ORDER BY score DESC;",
"SELECT \"2007 Result\" FROM table_1_13618584_1 WHERE \"Elected\" = '1996' AND \"Incumbent\" = '1996-01-01'",
"SELECT \"tours\" FROM rankings WHERE \"tourney_id\" = '6-3' AND \"tourney_level\" = '1'",
"SELECT AVG(water_usage) FROM all_users WHERE water_usage IS NOT NULL;",
"SELECT \"To par\" FROM table_2_17245504_1 WHERE \"Score\" = '71-71-70-73=285'",
"SELECT COUNT(Dogs.dog_id) FROM Dogs WHERE Dogs.treatment_type_code = 'WALK'",
"SELECT m.material FROM materials.makers(m) JOIN methods.modes(m) ON m.id = m.mode_id WHERE m.name = 'Polython' AND m.name = 'Linear';",
"SELECT \"3rd place\" FROM table_1_25058269_1 WHERE \"Final Score\" = '3 : 1' AND \"Runner-up\" = 'Pere Leib Tartu'",
"SELECT `killed`, `injured` FROM battle WHERE `killed` > '10' UNION ALL SELECT `caused_by_ship_id`, `injured` FROM ship WHERE `killed` > '10' UNION ALL SELECT `caused_by_ship_id`, `injured` FROM ship WHERE `killed` > '10';",
"SELECT SUM(project_id) FROM sustainable_urbanism_projects WHERE state = 'California';",
"SELECT \"Bible Gothic\" FROM table_2_1777797_1 WHERE \"English\" = 'hand'",
"SELECT \"Document_Name\", \"Template_TypeCode\" FROM \"Documents\" WHERE \"DocumentName\" LIKE 'w%'",
"SELECT DISTINCT cargo_type FROM cargo INNER JOIN vessel_cargo ON cargo.vessel_id = vessel_cargo.vessel_id INNER JOIN vessel_id ON vessel_cargo.vessel_id = vessel_id.id WHERE vessel_id IN (1, 2, 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, 210);",
"SELECT \"Player\" FROM table_2_17690645_3 WHERE \"Years of NBA experience [a ]\" = 10",
"SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '701' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '703' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '704' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '705' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '706' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '707' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '708' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '709' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '710' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '711' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '712' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '713' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '714' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"Channel\" = '715' UNION ALL SELECT \"TV_series\" FROM \"TV_series\" WHERE \"",
"SELECT SUM(budget) FROM Movies WHERE release_year < 2010;",
"SELECT \"Region\" FROM table_2_16553153_1 WHERE \"Coach\" = 'trevor gleeson'",
"SELECT Template_TypeCode, Template_TypeDescription, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details, Template_Details",
"SELECT 100 * SUM(CASE WHEN ExpenseType = 'Administrative' THEN Amount ELSE 0 END) / SUM(Amount) FROM Expenses WHERE ExpenseDate >= '2022-01-01';",
"SELECT \"Status\" FROM table_2_18278508_6 WHERE \"Date performed\" = 'august 13' AND \"Position\" = 'safe'",
"SELECT name FROM employee WHERE employee.Employee_ID NOT IN (1, 2, 3, 4, 5, 6, 7, 8, 9, 10);",
"SELECT PolicyType FROM Policy WHERE PolicyID IS NOT NULL;",
"SELECT \"Report\" FROM table_2_19005873_2 WHERE \"Round\" = '9'",
"SELECT \"Document_Details\" FROM \"Paragraphs\" WHERE \"Document_Details\" IS NOT NULL AND \"Document_Details\" LIKE '%PPT%'",
"SELECT organization FROM ai_oversight WHERE organization = 'Canada';",
"SELECT \"Decile\" FROM table_2_12017602_17 WHERE \"Name\" = 'mayfield school'",
"SELECT \"Episode\" FROM \"TV_series\" WHERE \"Channel\" = '707' ORDER BY \"Hight_definition_TV\" DESC, \"Hight_definitionTV\" 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 MAX(CASE WHEN student_enrolment_id IS NOT NULL THEN student_enrolment_id END) - student_enrolment_id FROM \"Transcript_Contents\" WHERE \"transcript_id\" IS NOT NULL AND \"student_enrolment_id\" IS NOT NULL ORDER BY \"transcript_date\" DESC, \"student_enrolment_id\" DESC;",
"SELECT SUM(funding) FROM startups WHERE sector = 'Innovation';",
"SELECT \"Written by\" FROM table_1_27657925_1 WHERE \"No. in series\" = '62'",
"SELECT \"created\" FROM `VOTES` WHERE `contestant_name` = 'tabatha glahing' AND `contestant_number` = 3 UNION ALL SELECT `created` FROM `VOTES` WHERE `contestant_name` = 'tabatha glahing' AND `contestant_number` = 2",
"SELECT AVG(travel_time) FROM (SELECT route, travel_time FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN (SELECT route FROM VesselTravel WHERE route IN",
"SELECT \"Date\" FROM table_1_16678052_2 WHERE \"Record\" = '17'",
"SELECT people.Name FROM people WHERE people.Nationality = 'Russia'",
"SELECT * FROM organizations WHERE organization_id NOT IN (SELECT organization_id FROM evaluations);",
"SELECT \"Opponent\" FROM table_2_12206431_6 WHERE \"Loss\" = 'erickson (8-19)'",
"SELECT student_id, name, grade FROM Highschooler WHERE student_id IN (1661, 1641, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, ",
"SELECT AVG(price) FROM (SELECT price FROM menus WHERE is_vegan = TRUE) AS is_vegan_menu;",
"SELECT \"Mascot\" FROM table_2_18709882_2 WHERE \"Previous Conference\" = 'independent'",
"SELECT \"18_49_Rating_Share\", \"707\", \"18_49_Rating\" FROM \"TV_series\" WHERE \"18_49_Rating\" > '0' AND \"18_49_Rating\" < '107' UNION BY \"18_49_Rating\" FROM \"TV_series\" WHERE \"18_49_Rating\" < '107' UNION BY \"18_49_Rating\" FROM \"TV_series\" WHERE \"18_49_Rating\" < '107' UNION BY \"18_49_Rating\" FROM \"TV_series\" WHERE \"18_49_Rating\" < '107'",
"SELECT T1.name, T1.value FROM mental_health_parity_officers AS T1 JOIN trainings_conducted AS T2 ON T1.officer_id = T1.officer_id AND T1.officer_id = T1.officer_id + 1;",
"SELECT MIN(\"Pick#\") FROM table_1_1965650_2 WHERE \"NHL team\" = 'colin campbell'",
"SELECT COUNT(DISTINCT Template_TypeCode) FROM Templates WHERE Document_ID IS NOT NULL;",
"SELECT max_age FROM habitats WHERE name = 'australia' AND animal_type = 'koala';",
"SELECT \"Date\" FROM table_2_18226024_2 WHERE \"Visiting Team\" = 'los angeles rams' AND \"Attendance\" > '69,828' AND \"Year\" = '1955'",
"SELECT \"CountryCode\" FROM countrylanguage WHERE \"CountryCode\" IS NOT NULL",
"SELECT SUM(FundingID) FROM Funding WHERE EventID = 1;",
"SELECT \"Result\" FROM table_2_14717422_7 WHERE \"Time\" = '6:00 PM' AND \"Attendance\" = '79,419'",
"SELECT \"GNP\" FROM countrylanguage WHERE \"CountryCode\" = 'AF' AND \"Language\" = 'af' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'afg' AND \"CountryCode\" = 'nld' AND \"CountryCode\" = 'nld-af' AND \"CountryCode\" = 'nla' AND \"CountryCode\" = 'nla-af' AND \"CountryCode\" = 'nla-nla' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla-nla-af' AND \"CountryCode\" = 'nla",
"SELECT COUNT(building_id FROM green_buildings WHERE building_id = 1",
"SELECT \"Finish\" FROM table_2_17231331_2 WHERE \"Country\" = 'United States' AND \"Player\" = 'Hale Irwin'",
"SELECT \"CountryCode\", \"Language\" FROM countrylanguage WHERE \"CountryCode\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9) WHERE \"Language\" LIKE 'F%' UNION ALL SELECT \"CountryCode\", \"Language\" FROM countrylanguage WHERE \"CountryCode\" IN (1, 2, 3, 4, 5, 6, 7, 8, 9)",
"SELECT SUM(allocated_budget) FROM Budget WHERE program_name = 'Sports' AND year = 2021",
"SELECT AVG(\"Goal Difference\") FROM (SELECT \"Goal Difference\" FROM table_2_17421790_2 WHERE \"Position\" = '1' AND \"Points\" > '27' AND \"Losses\" < '9') WHERE \"Position\" > '16'",
"SELECT \"CountryCode\", \"Area\", \"Area %\" FROM \"countrylanguage\" WHERE \"CountryCode\" = 'afg' INTERSECT SELECT \"CountryCode\", \"Area\", 'Gross National Product' FROM \"country\" WHERE \"CountryCode\" = 'afg'",
"SELECT SUM(has_bike_rack) FROM bus_trips WHERE city = 'London';",
"SELECT MIN(\"Points\") FROM table_2_1148735_1 WHERE \"Chassis\" = 'arrows a22'",
"SELECT count(transcript_id) FROM \"Transcript_Contents\" WHERE \"student_course_id\" = 2",
"SELECT usage FROM customer_water_usage WHERE customer_id = 5;",
"SELECT \"NHL team\" FROM table_1_2886617_3 WHERE \"Player\" = 'Kevin McKay'",
"SELECT '1' as 'abandoned_yn', '0' as '147', '1' as 'weight', '1' as 'age' from 'Breeds' where 'breed_code' = 'Bulldog'",
"SELECT SUM(value) FROM ArtPieces WHERE style = 'Surrealism';",
"SELECT \"Loci\" FROM table_2_1196020_4 WHERE \"Macros\" = 'Loci'",
"SELECT Document_Details FROM Document_Details WHERE Document_Details LIKE '%w%'",
"SELECT SUM(projects) FROM military_innovation WHERE year = 2019",
"SELECT \"Conservative ticket\" FROM table_2_15558943_2 WHERE \"Liberal ticket\" = ' socialist labor' AND \"Socialist Labor ticket\" = ' Arthur Levitt'",
"SELECT \"Conductor_ID\" FROM \"conductor\" WHERE \"Conductor_ID\" IS NOT NULL AND \"Nationality\" != 'USA'",
"SELECT program, semester, SUM(CASE WHEN program = 'Data Science' THEN 1 ELSE 0 END) FROM student_enrollment WHERE program = 'Data Science' AND semester = 'Fall' WHERE program = 'Data Science'",
"SELECT \"School website\" FROM table_1_28523_2 WHERE \"School location\" = 'cunningham hill infant school'",
"SELECT \"CountryCode\" FROM country WHERE \"CountryCode\" IS NOT NULL AND \"Language\" = 'F' AND \"IsOfficial\" = 'N' AND \"GovernmentForm\" = 'N';",
"SELECT country FROM virtual_tourism WHERE num_sessions >= 2500 GROUP BY country ORDER BY SUM(num_sessions) DESC LIMIT 5",
"SELECT \"Date\" FROM table_2_16712720_2 WHERE \"Opponent\" = 'chicago'",
"SELECT pet_type, AVG(weight) FROM (SELECT pet_type, AVG(weight FROM Has_Pet WHERE pet_age >= 18 GROUP BY pet_type) AS subquery WHERE weight IS NOT NULL;",
"SELECT name, status FROM heritageSites WHERE status = 'Preserved';",
"SELECT \"Population (2011 Census)\" FROM news_readership WHERE \"Headquarters\" = 'Bhubaneswar' AND \"Headquarters\" = 'Bhubaneswar'",
"SELECT breed_name FROM `Breeds` WHERE `breed_code` = 'BUL' GROUP BY `breed_name` ORDER BY COUNT(`dog_id`) DESC LIMIT 1",
"SELECT COUNT(common_name) FROM ArcticBiodiversity WHERE common_name = 'Arctic Fox';",
"SELECT \"First season in top division\" FROM table_1_18143210_2 WHERE \"Club\" = 'UNAM'",
"SELECT countryCode FROM countrylanguage WHERE countryCode = 'AFG' INTERSECT SELECT countryCode FROM country WHERE population = '0'",
"SELECT SUM(revenue) FROM sales WHERE drug_name = 'DrugB' AND sale_date >= '2021-01-01' AND sale_date <= '2021-04-01';",
"SELECT \"Format\" FROM table_2_151199_6 WHERE \"Type\" = 'primary' AND \"Format\" = 'kbsx'",
"SELECT name FROM friend WHERE friend_id IN (1, 2, 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, 75, 76, 77, 78, 79, 80, ",
"SELECT country, SUM(launch_status) FROM space_missions WHERE launch_status = 'Success' GROUP BY country;",
"SELECT \"Party\" FROM table_1_1342338_6 WHERE \"Elected\" = '1926' AND \"Elected\" = 'richard j. welch'",
"SELECT 'car_makers' FROM \"car_makers\" WHERE \"Country\" = 'usa' AND \"Country\" = 'russia'",
"SELECT ProductName, CertificationDate, 'Cruelty-Free' as Certified FROM Product WHERE Certified = TRUE",
"SELECT \"Home team score\" FROM table_2_10775890_18 WHERE \"Venue\" = 'Lake Oval'",
"SELECT shop_name, COUNT(employee_id) FROM employee WHERE shop_id IN (SELECT shop_id FROM employee WHERE manager_name LIKE 'George Chuter' OR manager_name LIKE 'Mark Regan' OR manager_name LIKE 'Mika Lehkosuo' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'Mikko Lehto' OR manager_name LIKE 'M",
"SELECT Operation, Budget FROM IntelligenceOperations WHERE Region = 'Middle East';",
"SELECT \"Long\" FROM table_2_10966926_7 WHERE \"Avg.\" = '4.3'",
"SELECT 'flights' FROM news_readership WHERE country = 'India' AND readership > 0",
"SELECT SUM(sales) FROM electric_vehicles WHERE year = 2020 AND state = 'California';",
"SELECT \"2009\" FROM table_2_15209530_5 WHERE \"2008\" = '1r'",
"SELECT \"killed\", \"injured\" FROM death WHERE \"t\" = 't' UNION ALL SELECT 'killed', 'injured' FROM death WHERE \"t\" = 't';",
"SELECT Make, Range, MAX(Range) FROM Electric_Vehicles GROUP BY Make;",
"SELECT \"Date\" FROM table_2_11190568_3 WHERE \"Opposition\" = 'Waterford' AND \"Team\" = 'Waterford'",
"SELECT conductor.name FROM conductor WHERE conductor.name LIKE 'Pierre' + '%'",
"SELECT MAX(area_size) FROM marine_protected_areas WHERE conservation_status = 'Least Concern';",
"SELECT \"Directed by\" FROM news_readership WHERE \"Series #\" = '1'",
"SELECT \"Conductor_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" > (SELECT \"Orchestra_ID\" FROM \"orchestra\" WHERE \"Orchestra_ID\" > \"Orchestra_ID\" + 1)",
"SELECT State, DispensaryCount FROM DispensariesByState GROUP BY DispensaryCount ORDER BY Sum(DispensaryCount) DESC LIMIT 5",
"SELECT \"The Goodbye Girl\" FROM table_1_2226817_7 WHERE \"Production code\" = '6.18'",
"SELECT \"SongName\", \"SongRelease_year\" FROM \"singer_in_concert\" WHERE \"Singer_ID\" = '3'",
"SELECT state, COUNT(fan_id) FROM fans GROUP BY state;",
"SELECT \"1st Member\" FROM table_2_1827767_1 WHERE \"1st Party\" = 'conservative' AND \"2nd Member\" = '1865'",
"SELECT \"Birth_Year\" as \"Birth_History\", \"Citizenship\" as \"Citizenship_History\" FROM \"singer\" WHERE \"Singer_ID\" IN (1, 2, 3, 4, 5, 6, 7, 8)",
"SELECT AVG(avgSpeed) FROM test_drives WHERE vehicle_type = 'EV';",
"SELECT \"Character\" FROM table_2_14960574_6 WHERE \"French voice actor\" = 'marc saez' AND \"German voice actor\" = 'dirk fenselau'",
"SELECT \"Template_Type_Code\" FROM RefTemplate_Types WHERE \"Template_TypeDescription\" = '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 Highschooler WHERE grade > 10",
"SELECT species, AVG(stock_level), AVG(biomass) FROM fish_stock GROUP BY species;",
"SELECT \"Money ( \u00a3 )\" FROM table_2_18122130_7 WHERE \"Country\" = 'england' AND \"Player\" = 'malcolm mackenzie'",
"SELECT \"18_49_Rating_Share\", \"700\" FROM \"TV_series\" WHERE \"Hight_definition_TV\" = '16:9' UNION ALL SELECT \"18_49_RatingShaw\", '700' FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT \"700\" FROM \"TV_series\" WHERE \"Hight_definitionTV\" = '16:9' UNION ALL SELECT",
"SELECT AVG(price) FROM concerts WHERE type = 'jazz';",
"SELECT \"Fruit Trees\" FROM table_2_18072454_2 WHERE \"Vegetables\" > \"14,625\" AND \"Industrial crops\" > \"20,768\"",
"SELECT \"DocumentID\" FROM Documents WHERE \"Paragraphs\" LIKE \"1\" UNION \"Paragraphs\" LIKE \"1\"",
"SELECT SUM(sessions) FROM financialCapabilityTraining WHERE country = 'Germany' AND year = 2022 AND quarter = 1;",
"SELECT \"Decile\" FROM table_2_12256602_3 WHERE \"Area\" = 'southbrook' AND \"Decile\" < '10'",
"SELECT Template_Type_Code FROM RefTemplate_Types WHERE DocumentID IS NOT NULL;",
"SELECT AVG(budget) FROM green_buildings WHERE building_id = 1;",
"SELECT \"Week\" FROM table_2_13258745_2 WHERE \"Date\" = '1991-10-13'",
"SELECT \"Stadium_ID\" FROM \"stadium\" WHERE \"Stadium_ID\" IN ('1', '2', '3', '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', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11",
"SELECT SUM(demographics.readership) FROM fan.demographics WHERE name = 'John Smith' AND country = 'Canada';",
"SELECT \"1R\" FROM table_2_15209530_5 WHERE \"2011\" = \"2010\" AND \"2009\" = \"1r\"",
"SELECT 'Airline' as abbr, 'Country' as loc from 'flights' WHERE 'Country' = 'USA' UNION ALL SELECT 'Airline' as abbr, 'Country' as loc from 'flights' WHERE 'Country' = 'United'",
"SELECT AVG(Budget) FROM Accessible_Tech_Technology (Project_Name, Location, Budget) WHERE Location = 'Africa';",
"SELECT \"Time\" FROM table_2_1119345_1 WHERE \"Date\" = 'October 7'",
"SELECT COUNT(DOGS.dog_id) FROM Dogs WHERE age < (SELECT AVG(age) FROM (SELECT age FROM dogs WHERE age < 10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"SELECT SUM(savings) FROM energy_efficiency WHERE state = 'Texas' AND year = 2020;",
"SELECT \"Metres (ft)\" FROM table_2_166570_4 WHERE \"Country\" = 'China' AND \"Name\" = 'goldin finance 117'",
"SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Italy' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'United Kingdom' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'United States' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'France' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Germany' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM \"TV_series\" WHERE \"Country\" = 'Netherlands' UNION ALL SELECT \"Language\", \"Number_of_Channels\" FROM"
]
} |