diff --git "a/data/questions/questions_train.json" "b/data/questions/questions_train.json" new file mode 100644--- /dev/null +++ "b/data/questions/questions_train.json" @@ -0,0 +1,12930 @@ +[ + { + "question_text": "How many cars have a larger accelerate than the car with the largest horsepower?", + "database_name": "car_1", + "gold_sql": "SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate > ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );", + "gold_answer": 39, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_000" + }, + { + "question_text": "What is the number of cars with a greater accelerate than the one with the most horsepower?", + "database_name": "car_1", + "gold_sql": "SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate > ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );", + "gold_answer": 39, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_001" + }, + { + "question_text": "How many cars has over 6 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders > 6;", + "gold_answer": 108, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_002" + }, + { + "question_text": "What is the number of carsw ith over 6 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders > 6;", + "gold_answer": 108, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_003" + }, + { + "question_text": "What is the number of car models that are produced by each maker and what is the id and full name of each maker?", + "database_name": "car_1", + "gold_sql": "SELECT Count(*) , T2.FullName , T2.id FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id GROUP BY T2.id;", + "gold_answer": [ + [ + 1, + "American Motor Company", + 1 + ], + [ + 2, + "Volkswagen", + 2 + ], + [ + 1, + "BMW", + 3 + ], + [ + 5, + "General Motors", + 4 + ], + [ + 3, + "Ford Motor Company", + 5 + ], + [ + 4, + "Chrysler", + 6 + ], + [ + 1, + "Citroen", + 7 + ], + [ + 2, + "Nissan Motors", + 8 + ], + [ + 1, + "Fiat", + 9 + ], + [ + 1, + "Honda", + 11 + ], + [ + 1, + "Mazda", + 12 + ], + [ + 2, + "Daimler Benz", + 13 + ], + [ + 1, + "Opel", + 14 + ], + [ + 1, + "Peugeaut", + 15 + ], + [ + 1, + "Renault", + 16 + ], + [ + 1, + "Saab", + 17 + ], + [ + 1, + "Subaru", + 18 + ], + [ + 2, + "Toyota", + 19 + ], + [ + 1, + "Triumph", + 20 + ], + [ + 1, + "Volvo", + 21 + ], + [ + 1, + "Kia Motors", + 22 + ], + [ + 1, + "Hyundai", + 23 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_004" + }, + { + "question_text": "What are the name of the countries where there is not a single car maker?", + "database_name": "car_1", + "gold_sql": "SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId = T2.Country;", + "gold_answer": [ + "australia", + "brazil", + "egypt", + "mexico", + "new zealand", + "nigeria", + "russia" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "countries" + ], + "split": "train", + "question_id": "car_1_train_005" + }, + { + "question_text": "What are the names of the countries with no car makers?", + "database_name": "car_1", + "gold_sql": "SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId = T2.Country;", + "gold_answer": [ + "australia", + "brazil", + "egypt", + "mexico", + "new zealand", + "nigeria", + "russia" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "countries" + ], + "split": "train", + "question_id": "car_1_train_006" + }, + { + "question_text": "Find the name of the makers that produced some cars in the year of 1970?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model JOIN CARS_DATA AS T4 ON T3.MakeId = T4.id WHERE T4.year = '1970';", + "gold_answer": [ + "gm", + "chrysler", + "amc", + "ford", + "citroen", + "toyota", + "nissan", + "volkswagen", + "peugeaut", + "saab", + "bmw" + ], + "answer_type": "list", + "difficulty": "hard", + "tables_involved": [ + "CARS_DATA", + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_007" + }, + { + "question_text": "What is the name of the different car makers who produced a car in 1970?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model JOIN CARS_DATA AS T4 ON T3.MakeId = T4.id WHERE T4.year = '1970';", + "gold_answer": [ + "gm", + "chrysler", + "amc", + "ford", + "citroen", + "toyota", + "nissan", + "volkswagen", + "peugeaut", + "saab", + "bmw" + ], + "answer_type": "list", + "difficulty": "hard", + "tables_involved": [ + "CARS_DATA", + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_008" + }, + { + "question_text": "What are the different models wthat are lighter than 3500 but were not built by the Ford Motor Company?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model = T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker = T4.Id WHERE T3.weight < 3500 AND T4.FullName != 'Ford Motor Company';", + "gold_answer": [ + "plymouth", + "amc", + "citroen", + "buick", + "toyota", + "datsun", + "volkswagen", + "peugeot", + "audi", + "saab", + "bmw", + "chevrolet", + "pontiac", + "opel", + "fiat", + "dodge", + "mazda", + "volvo", + "renault", + "honda", + "subaru", + "oldsmobile", + "mercedes-benz", + "triumph", + "chrysler", + "nissan" + ], + "answer_type": "list", + "difficulty": "hard", + "tables_involved": [ + "CARS_DATA", + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_009" + }, + { + "question_text": "Which models are lighter than 3500 but not built by the 'Ford Motor Company'?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model = T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker = T4.Id WHERE T3.weight < 3500 AND T4.FullName != 'Ford Motor Company';", + "gold_answer": [ + "plymouth", + "amc", + "citroen", + "buick", + "toyota", + "datsun", + "volkswagen", + "peugeot", + "audi", + "saab", + "bmw", + "chevrolet", + "pontiac", + "opel", + "fiat", + "dodge", + "mazda", + "volvo", + "renault", + "honda", + "subaru", + "oldsmobile", + "mercedes-benz", + "triumph", + "chrysler", + "nissan" + ], + "answer_type": "list", + "difficulty": "hard", + "tables_involved": [ + "CARS_DATA", + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_010" + }, + { + "question_text": "What are the different models for the cards produced after 1980?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model = T2.model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.id WHERE T3.year > 1980;", + "gold_answer": [ + "plymouth", + "buick", + "dodge", + "chevrolet", + "toyota", + "honda", + "subaru", + "datsun", + "mazda", + "ford", + "volkswagen", + "renault", + "peugeot", + "saab", + "volvo", + "oldsmobile", + "chrysler", + "pontiac", + "amc", + "mercury", + "nissan" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_011" + }, + { + "question_text": "Which distinct car models are the produced after 1980?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.model = T2.model JOIN CARS_DATA AS T3 ON T2.MakeId = T3.id WHERE T3.year > 1980;", + "gold_answer": [ + "plymouth", + "buick", + "dodge", + "chevrolet", + "toyota", + "honda", + "subaru", + "datsun", + "mazda", + "ford", + "volkswagen", + "renault", + "peugeot", + "saab", + "volvo", + "oldsmobile", + "chrysler", + "pontiac", + "amc", + "mercury", + "nissan" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_012" + }, + { + "question_text": "What are the different models created by either the car maker General Motors or weighed more than 3500?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model = T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker = T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId = T4.Id WHERE T3.FullName = 'General Motors' OR T4.weight > 3500;", + "gold_answer": [ + "chevrolet", + "buick", + "ford", + "plymouth", + "pontiac", + "amc", + "dodge", + "mercury", + "oldsmobile", + "chrysler", + "mercedes-benz", + "cadillac", + "mercedes" + ], + "answer_type": "list", + "difficulty": "hard", + "tables_involved": [ + "CARS_DATA", + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_013" + }, + { + "question_text": "Which distinctive models are produced by maker with the full name General Motors or weighing more than 3500?", + "database_name": "car_1", + "gold_sql": "SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model = T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker = T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId = T4.Id WHERE T3.FullName = 'General Motors' OR T4.weight > 3500;", + "gold_answer": [ + "chevrolet", + "buick", + "ford", + "plymouth", + "pontiac", + "amc", + "dodge", + "mercury", + "oldsmobile", + "chrysler", + "mercedes-benz", + "cadillac", + "mercedes" + ], + "answer_type": "list", + "difficulty": "hard", + "tables_involved": [ + "CARS_DATA", + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_014" + }, + { + "question_text": "What are all the makers and models?", + "database_name": "car_1", + "gold_sql": "SELECT Maker , Model FROM MODEL_LIST;", + "gold_answer": [ + [ + 1, + "amc" + ], + [ + 2, + "audi" + ], + [ + 3, + "bmw" + ], + [ + 4, + "buick" + ], + [ + 4, + "cadillac" + ], + [ + 5, + "capri" + ], + [ + 4, + "chevrolet" + ], + [ + 6, + "chrysler" + ], + [ + 7, + "citroen" + ], + [ + 8, + "datsun" + ], + [ + 6, + "dodge" + ], + [ + 9, + "fiat" + ], + [ + 5, + "ford" + ], + [ + 10, + "hi" + ], + [ + 11, + "honda" + ], + [ + 12, + "mazda" + ], + [ + 13, + "mercedes" + ], + [ + 13, + "mercedes-benz" + ], + [ + 5, + "mercury" + ], + [ + 8, + "nissan" + ], + [ + 4, + "oldsmobile" + ], + [ + 14, + "opel" + ], + [ + 15, + "peugeot" + ], + [ + 6, + "plymouth" + ], + [ + 4, + "pontiac" + ], + [ + 16, + "renault" + ], + [ + 17, + "saab" + ], + [ + 18, + "subaru" + ], + [ + 19, + "toyota" + ], + [ + 20, + "triumph" + ], + [ + 2, + "volkswagen" + ], + [ + 21, + "volvo" + ], + [ + 22, + "kia" + ], + [ + 23, + "hyundai" + ], + [ + 6, + "jeep" + ], + [ + 19, + "scion" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_015" + }, + { + "question_text": "What are the makers and models?", + "database_name": "car_1", + "gold_sql": "SELECT Maker , Model FROM MODEL_LIST;", + "gold_answer": [ + [ + 1, + "amc" + ], + [ + 2, + "audi" + ], + [ + 3, + "bmw" + ], + [ + 4, + "buick" + ], + [ + 4, + "cadillac" + ], + [ + 5, + "capri" + ], + [ + 4, + "chevrolet" + ], + [ + 6, + "chrysler" + ], + [ + 7, + "citroen" + ], + [ + 8, + "datsun" + ], + [ + 6, + "dodge" + ], + [ + 9, + "fiat" + ], + [ + 5, + "ford" + ], + [ + 10, + "hi" + ], + [ + 11, + "honda" + ], + [ + 12, + "mazda" + ], + [ + 13, + "mercedes" + ], + [ + 13, + "mercedes-benz" + ], + [ + 5, + "mercury" + ], + [ + 8, + "nissan" + ], + [ + 4, + "oldsmobile" + ], + [ + 14, + "opel" + ], + [ + 15, + "peugeot" + ], + [ + 6, + "plymouth" + ], + [ + 4, + "pontiac" + ], + [ + 16, + "renault" + ], + [ + 17, + "saab" + ], + [ + 18, + "subaru" + ], + [ + 19, + "toyota" + ], + [ + 20, + "triumph" + ], + [ + 2, + "volkswagen" + ], + [ + 21, + "volvo" + ], + [ + 22, + "kia" + ], + [ + 23, + "hyundai" + ], + [ + 6, + "jeep" + ], + [ + 19, + "scion" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_016" + }, + { + "question_text": "What model has the most different versions?", + "database_name": "car_1", + "gold_sql": "SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;", + "gold_answer": "ford", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_017" + }, + { + "question_text": "Which model has the most version(make) of cars?", + "database_name": "car_1", + "gold_sql": "SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;", + "gold_answer": "ford", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_018" + }, + { + "question_text": "How much does the car accelerate that makes amc hornet sportabout (sw)?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Accelerate FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Make = 'amc hornet sportabout (sw)';", + "gold_answer": 13.5, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_019" + }, + { + "question_text": "What is the accelerate of the car make amc hornet sportabout (sw)?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Accelerate FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Make = 'amc hornet sportabout (sw)';", + "gold_answer": 13.5, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_020" + }, + { + "question_text": "For each continent, list its id, name, and how many countries it has?", + "database_name": "car_1", + "gold_sql": "SELECT T1.ContId , T1.Continent , count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId = T2.Continent GROUP BY T1.ContId;", + "gold_answer": [ + [ + 1, + "america", + 3 + ], + [ + 2, + "europe", + 6 + ], + [ + 3, + "asia", + 2 + ], + [ + 4, + "africa", + 2 + ], + [ + 5, + "australia", + 2 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CONTINENTS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_021" + }, + { + "question_text": "How many countries does each continent have? List the continent id, continent name and the number of countries.", + "database_name": "car_1", + "gold_sql": "SELECT T1.ContId , T1.Continent , count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId = T2.Continent GROUP BY T1.ContId;", + "gold_answer": [ + [ + 1, + "america", + 3 + ], + [ + 2, + "europe", + 6 + ], + [ + 3, + "asia", + 2 + ], + [ + 4, + "africa", + 2 + ], + [ + 5, + "australia", + 2 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CONTINENTS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_022" + }, + { + "question_text": "How many car makers are there in each continents? List the continent name and the count.", + "database_name": "car_1", + "gold_sql": "SELECT T1.Continent , count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId = T2.continent JOIN car_makers AS T3 ON T2.CountryId = T3.Country GROUP BY T1.Continent;", + "gold_answer": [ + [ + "america", + 4 + ], + [ + "asia", + 7 + ], + [ + "europe", + 11 + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "CONTINENTS", + "COUNTRIES", + "car_makers" + ], + "split": "train", + "question_id": "car_1_train_023" + }, + { + "question_text": "What is the name of each continent and how many car makers are there in each one?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Continent , count(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId = T2.continent JOIN car_makers AS T3 ON T2.CountryId = T3.Country GROUP BY T1.Continent;", + "gold_answer": [ + [ + "america", + 4 + ], + [ + "asia", + 7 + ], + [ + "europe", + 11 + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "CONTINENTS", + "COUNTRIES", + "car_makers" + ], + "split": "train", + "question_id": "car_1_train_024" + }, + { + "question_text": "What are the countries having at least one car maker? List name and id.", + "database_name": "car_1", + "gold_sql": "SELECT T1.CountryName , T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.CountryId HAVING count(*) >= 1;", + "gold_answer": [ + [ + "usa", + 1 + ], + [ + "germany", + 2 + ], + [ + "france", + 3 + ], + [ + "japan", + 4 + ], + [ + "italy", + 5 + ], + [ + "sweden", + 6 + ], + [ + "uk", + 7 + ], + [ + "korea", + 8 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_025" + }, + { + "question_text": "What are the names and ids of all countries with at least one car maker?", + "database_name": "car_1", + "gold_sql": "SELECT T1.CountryName , T1.CountryId FROM COUNTRIES AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.CountryId HAVING count(*) >= 1;", + "gold_answer": [ + [ + "usa", + 1 + ], + [ + "germany", + 2 + ], + [ + "france", + 3 + ], + [ + "japan", + 4 + ], + [ + "italy", + 5 + ], + [ + "sweden", + 6 + ], + [ + "uk", + 7 + ], + [ + "korea", + 8 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_026" + }, + { + "question_text": "What are the names of all European countries with at least 3 manufacturers?", + "database_name": "car_1", + "gold_sql": "SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent = T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId = T3.Country WHERE T2.Continent = 'europe' GROUP BY T1.CountryName HAVING count(*) >= 3;", + "gold_answer": [ + "france", + "germany" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "CAR_MAKERS", + "CONTINENTS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_027" + }, + { + "question_text": "Which countries in europe have at least 3 car manufacturers?", + "database_name": "car_1", + "gold_sql": "SELECT T1.CountryName FROM COUNTRIES AS T1 JOIN CONTINENTS AS T2 ON T1.Continent = T2.ContId JOIN CAR_MAKERS AS T3 ON T1.CountryId = T3.Country WHERE T2.Continent = 'europe' GROUP BY T1.CountryName HAVING count(*) >= 3;", + "gold_answer": [ + "france", + "germany" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "CAR_MAKERS", + "CONTINENTS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_028" + }, + { + "question_text": "How many models does each car maker produce? List maker full name, id and the number.", + "database_name": "car_1", + "gold_sql": "SELECT T1.FullName , T1.Id , count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id;", + "gold_answer": [ + [ + "American Motor Company", + 1, + 1 + ], + [ + "Volkswagen", + 2, + 2 + ], + [ + "BMW", + 3, + 1 + ], + [ + "General Motors", + 4, + 5 + ], + [ + "Ford Motor Company", + 5, + 3 + ], + [ + "Chrysler", + 6, + 4 + ], + [ + "Citroen", + 7, + 1 + ], + [ + "Nissan Motors", + 8, + 2 + ], + [ + "Fiat", + 9, + 1 + ], + [ + "Honda", + 11, + 1 + ], + [ + "Mazda", + 12, + 1 + ], + [ + "Daimler Benz", + 13, + 2 + ], + [ + "Opel", + 14, + 1 + ], + [ + "Peugeaut", + 15, + 1 + ], + [ + "Renault", + 16, + 1 + ], + [ + "Saab", + 17, + 1 + ], + [ + "Subaru", + 18, + 1 + ], + [ + "Toyota", + 19, + 2 + ], + [ + "Triumph", + 20, + 1 + ], + [ + "Volvo", + 21, + 1 + ], + [ + "Kia Motors", + 22, + 1 + ], + [ + "Hyundai", + 23, + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_029" + }, + { + "question_text": "What is the full name of each car maker, along with its id and how many models it produces?", + "database_name": "car_1", + "gold_sql": "SELECT T1.FullName , T1.Id , count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id;", + "gold_answer": [ + [ + "American Motor Company", + 1, + 1 + ], + [ + "Volkswagen", + 2, + 2 + ], + [ + "BMW", + 3, + 1 + ], + [ + "General Motors", + 4, + 5 + ], + [ + "Ford Motor Company", + 5, + 3 + ], + [ + "Chrysler", + 6, + 4 + ], + [ + "Citroen", + 7, + 1 + ], + [ + "Nissan Motors", + 8, + 2 + ], + [ + "Fiat", + 9, + 1 + ], + [ + "Honda", + 11, + 1 + ], + [ + "Mazda", + 12, + 1 + ], + [ + "Daimler Benz", + 13, + 2 + ], + [ + "Opel", + 14, + 1 + ], + [ + "Peugeaut", + 15, + 1 + ], + [ + "Renault", + 16, + 1 + ], + [ + "Saab", + 17, + 1 + ], + [ + "Subaru", + 18, + 1 + ], + [ + "Toyota", + 19, + 2 + ], + [ + "Triumph", + 20, + 1 + ], + [ + "Volvo", + 21, + 1 + ], + [ + "Kia Motors", + 22, + 1 + ], + [ + "Hyundai", + 23, + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_030" + }, + { + "question_text": "What are the names and ids of all makers with more than 3 models?", + "database_name": "car_1", + "gold_sql": "SELECT T1.FullName , T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3;", + "gold_answer": [ + [ + "General Motors", + 4 + ], + [ + "Chrysler", + 6 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_031" + }, + { + "question_text": "Which makers designed more than 3 car models? List full name and the id.", + "database_name": "car_1", + "gold_sql": "SELECT T1.FullName , T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) > 3;", + "gold_answer": [ + [ + "General Motors", + 4 + ], + [ + "Chrysler", + 6 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_032" + }, + { + "question_text": "What are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Id , T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker GROUP BY T1.Id HAVING count(*) >= 2 INTERSECT SELECT T1.Id , T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker JOIN CAR_NAMES AS T3 ON T2.model = T3.model GROUP BY T1.Id HAVING count(*) > 3;", + "gold_answer": [ + [ + 2, + "volkswagen" + ], + [ + 4, + "gm" + ], + [ + 5, + "ford" + ], + [ + 6, + "chrysler" + ], + [ + 8, + "nissan" + ], + [ + 19, + "toyota" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "CAR_MAKERS", + "CAR_NAMES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_033" + }, + { + "question_text": "What is the model of the car with the smallest amount of horsepower?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id ORDER BY T2.horsepower ASC LIMIT 1;", + "gold_answer": "amc", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_034" + }, + { + "question_text": "Which model of the car has the minimum horsepower?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id ORDER BY T2.horsepower ASC LIMIT 1;", + "gold_answer": "amc", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_035" + }, + { + "question_text": "Which model saves the most gasoline? That is to say, have the maximum miles per gallon.", + "database_name": "car_1", + "gold_sql": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id ORDER BY T2.mpg DESC LIMIT 1;", + "gold_answer": "citroen", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_036" + }, + { + "question_text": "For all of the 4 cylinder cars, which model has the most horsepower?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Cylinders = 4 ORDER BY T2.horsepower DESC LIMIT 1;", + "gold_answer": "ford", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_037" + }, + { + "question_text": "For the cars with 4 cylinders, which model has the largest horsepower?", + "database_name": "car_1", + "gold_sql": "SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Cylinders = 4 ORDER BY T2.horsepower DESC LIMIT 1;", + "gold_answer": "ford", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_038" + }, + { + "question_text": "What are the id and names of the countries which have more than 3 car makers or produce the 'fiat' model?", + "database_name": "car_1", + "gold_sql": "SELECT T1.countryId , T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country GROUP BY T1.countryId HAVING count(*) > 3 UNION SELECT T1.countryId , T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId = T2.Country JOIN MODEL_LIST AS T3 ON T2.Id = T3.Maker WHERE T3.Model = 'fiat';", + "gold_answer": [ + [ + 1, + "usa" + ], + [ + 2, + "germany" + ], + [ + 4, + "japan" + ], + [ + 5, + "italy" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "CAR_MAKERS", + "Countries", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_039" + }, + { + "question_text": "For a volvo model, how many cylinders does the version with least accelerate have?", + "database_name": "car_1", + "gold_sql": "SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Model = 'volvo' ORDER BY T1.accelerate ASC LIMIT 1;", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_040" + }, + { + "question_text": "For model volvo, how many cylinders does the car with the least accelerate have?", + "database_name": "car_1", + "gold_sql": "SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T2.Model = 'volvo' ORDER BY T1.accelerate ASC LIMIT 1;", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_041" + }, + { + "question_text": "What is the horsepower of the car with the greatest accelerate?", + "database_name": "car_1", + "gold_sql": "SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;", + "gold_answer": "71", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_042" + }, + { + "question_text": "What is the horsepower of the car with the largest accelerate?", + "database_name": "car_1", + "gold_sql": "SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;", + "gold_answer": "71", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_043" + }, + { + "question_text": "Find the model of the car whose weight is below the average weight.", + "database_name": "car_1", + "gold_sql": "SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA)", + "gold_answer": [ + "toyota", + "plymouth", + "amc", + "ford", + "datsun", + "volkswagen", + "peugeot", + "audi", + "saab", + "bmw", + "amc", + "datsun", + "chevrolet", + "toyota", + "ford", + "volkswagen", + "amc", + "amc", + "chevrolet", + "mercury", + "opel", + "peugeot", + "fiat", + "toyota", + "datsun", + "volkswagen", + "plymouth", + "toyota", + "dodge", + "volkswagen", + "chevrolet", + "ford", + "mazda", + "volvo", + "volkswagen", + "peugeot", + "renault", + "ford", + "datsun", + "toyota", + "dodge", + "toyota", + "amc", + "plymouth", + "volkswagen", + "amc", + "toyota", + "chevrolet", + "datsun", + "mazda", + "ford", + "mercury", + "fiat", + "fiat", + "opel", + "audi", + "volvo", + "saab", + "toyota", + "ford", + "amc", + "datsun", + "ford", + "toyota", + "chevrolet", + "audi", + "volkswagen", + "opel", + "toyota", + "datsun", + "dodge", + "fiat", + "fiat", + "honda", + "subaru", + "fiat", + "toyota", + "ford", + "amc", + "pontiac", + "toyota", + "volkswagen", + "datsun", + "volkswagen", + "audi", + "peugeot", + "volvo", + "saab", + "honda", + "fiat", + "opel", + "capri", + "dodge", + "renault", + "chevrolet", + "chevrolet", + "volkswagen", + "honda", + "volkswagen", + "datsun", + "toyota", + "ford", + "toyota", + "honda", + "buick", + "renault", + "plymouth", + "datsun", + "volkswagen", + "pontiac", + "toyota", + "ford", + "chevrolet", + "dodge", + "subaru", + "volkswagen", + "datsun", + "bmw", + "mazda", + "volkswagen", + "ford", + "mazda", + "datsun", + "honda", + "ford", + "ford", + "chevrolet", + "toyota", + "datsun", + "dodge", + "toyota", + "plymouth", + "oldsmobile", + "datsun", + "audi", + "saab", + "volkswagen", + "honda", + "ford", + "volkswagen", + "mazda", + "dodge", + "amc", + "plymouth", + "plymouth", + "datsun", + "fiat", + "buick", + "chevrolet", + "oldsmobile", + "pontiac", + "volkswagen", + "toyota", + "chevrolet", + "datsun", + "chevrolet", + "ford", + "audi", + "toyota", + "mazda", + "datsun", + "toyota", + "mazda", + "dodge", + "datsun", + "volkswagen", + "volkswagen", + "audi", + "honda", + "renault", + "subaru", + " volkswagen", + "datsun", + "mazda", + "triumph", + "ford", + "honda", + "plymouth", + "buick", + "dodge", + "chevrolet", + "plymouth", + "toyota", + "plymouth", + "honda", + "subaru", + "datsun", + "toyota", + "mazda", + "plymouth", + "ford", + "ford", + "volkswagen", + "renault", + "honda", + "toyota", + "datsun", + "mazda", + "saab", + "toyota", + "datsun", + "chevrolet", + "chevrolet", + "chevrolet", + "pontiac", + "dodge", + "pontiac", + "ford", + "volkswagen", + "mazda", + "mazda", + "plymouth", + "mercury", + "nissan", + "honda", + "toyota", + "honda", + "honda", + "datsun", + "buick", + "chrysler", + "ford", + "toyota", + "dodge", + "chevrolet", + "ford", + "volkswagen", + "dodge", + "ford", + "chevrolet" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_044" + }, + { + "question_text": "What is the model for the car with a weight smaller than the average?", + "database_name": "car_1", + "gold_sql": "SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA)", + "gold_answer": [ + "toyota", + "plymouth", + "amc", + "ford", + "datsun", + "volkswagen", + "peugeot", + "audi", + "saab", + "bmw", + "amc", + "datsun", + "chevrolet", + "toyota", + "ford", + "volkswagen", + "amc", + "amc", + "chevrolet", + "mercury", + "opel", + "peugeot", + "fiat", + "toyota", + "datsun", + "volkswagen", + "plymouth", + "toyota", + "dodge", + "volkswagen", + "chevrolet", + "ford", + "mazda", + "volvo", + "volkswagen", + "peugeot", + "renault", + "ford", + "datsun", + "toyota", + "dodge", + "toyota", + "amc", + "plymouth", + "volkswagen", + "amc", + "toyota", + "chevrolet", + "datsun", + "mazda", + "ford", + "mercury", + "fiat", + "fiat", + "opel", + "audi", + "volvo", + "saab", + "toyota", + "ford", + "amc", + "datsun", + "ford", + "toyota", + "chevrolet", + "audi", + "volkswagen", + "opel", + "toyota", + "datsun", + "dodge", + "fiat", + "fiat", + "honda", + "subaru", + "fiat", + "toyota", + "ford", + "amc", + "pontiac", + "toyota", + "volkswagen", + "datsun", + "volkswagen", + "audi", + "peugeot", + "volvo", + "saab", + "honda", + "fiat", + "opel", + "capri", + "dodge", + "renault", + "chevrolet", + "chevrolet", + "volkswagen", + "honda", + "volkswagen", + "datsun", + "toyota", + "ford", + "toyota", + "honda", + "buick", + "renault", + "plymouth", + "datsun", + "volkswagen", + "pontiac", + "toyota", + "ford", + "chevrolet", + "dodge", + "subaru", + "volkswagen", + "datsun", + "bmw", + "mazda", + "volkswagen", + "ford", + "mazda", + "datsun", + "honda", + "ford", + "ford", + "chevrolet", + "toyota", + "datsun", + "dodge", + "toyota", + "plymouth", + "oldsmobile", + "datsun", + "audi", + "saab", + "volkswagen", + "honda", + "ford", + "volkswagen", + "mazda", + "dodge", + "amc", + "plymouth", + "plymouth", + "datsun", + "fiat", + "buick", + "chevrolet", + "oldsmobile", + "pontiac", + "volkswagen", + "toyota", + "chevrolet", + "datsun", + "chevrolet", + "ford", + "audi", + "toyota", + "mazda", + "datsun", + "toyota", + "mazda", + "dodge", + "datsun", + "volkswagen", + "volkswagen", + "audi", + "honda", + "renault", + "subaru", + " volkswagen", + "datsun", + "mazda", + "triumph", + "ford", + "honda", + "plymouth", + "buick", + "dodge", + "chevrolet", + "plymouth", + "toyota", + "plymouth", + "honda", + "subaru", + "datsun", + "toyota", + "mazda", + "plymouth", + "ford", + "ford", + "volkswagen", + "renault", + "honda", + "toyota", + "datsun", + "mazda", + "saab", + "toyota", + "datsun", + "chevrolet", + "chevrolet", + "chevrolet", + "pontiac", + "dodge", + "pontiac", + "ford", + "volkswagen", + "mazda", + "mazda", + "plymouth", + "mercury", + "nissan", + "honda", + "toyota", + "honda", + "honda", + "datsun", + "buick", + "chrysler", + "ford", + "toyota", + "dodge", + "chevrolet", + "ford", + "volkswagen", + "dodge", + "ford", + "chevrolet" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_045" + }, + { + "question_text": "What is the name of the country with the most car makers?", + "database_name": "car_1", + "gold_sql": "SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1;", + "gold_answer": "japan", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_046" + }, + { + "question_text": "Which of the countries has the most car makers? List the country name.", + "database_name": "car_1", + "gold_sql": "SELECT T2.CountryName FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId GROUP BY T1.Country ORDER BY Count(*) DESC LIMIT 1;", + "gold_answer": "japan", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_047" + }, + { + "question_text": "Find the make and production time of the cars that were produced in the earliest year?", + "database_name": "car_1", + "gold_sql": "SELECT T2.Make , T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Year = (SELECT min(YEAR) FROM CARS_DATA);", + "gold_answer": [ + [ + "chevrolet chevelle malibu", + 1970 + ], + [ + "buick skylark 320", + 1970 + ], + [ + "plymouth satellite", + 1970 + ], + [ + "amc rebel sst", + 1970 + ], + [ + "ford torino", + 1970 + ], + [ + "ford galaxie 500", + 1970 + ], + [ + "chevrolet impala", + 1970 + ], + [ + "plymouth fury iii", + 1970 + ], + [ + "pontiac catalina", + 1970 + ], + [ + "amc ambassador dpl", + 1970 + ], + [ + "citroen ds-21 pallas", + 1970 + ], + [ + "chevrolet chevelle concours (sw)", + 1970 + ], + [ + "ford torino (sw)", + 1970 + ], + [ + "plymouth satellite (sw)", + 1970 + ], + [ + "amc rebel sst (sw)", + 1970 + ], + [ + "dodge challenger se", + 1970 + ], + [ + "plymouth cuda 340", + 1970 + ], + [ + "ford mustang boss 302", + 1970 + ], + [ + "chevrolet monte carlo", + 1970 + ], + [ + "buick estate wagon (sw)", + 1970 + ], + [ + "toyota corona mark ii", + 1970 + ], + [ + "plymouth duster", + 1970 + ], + [ + "amc hornet", + 1970 + ], + [ + "ford maverick", + 1970 + ], + [ + "datsun pl510", + 1970 + ], + [ + "volkswagen 1131 deluxe sedan", + 1970 + ], + [ + "peugeot 504", + 1970 + ], + [ + "audi 100 ls", + 1970 + ], + [ + "saab 99e", + 1970 + ], + [ + "bmw 2002", + 1970 + ], + [ + "amc gremlin", + 1970 + ], + [ + "ford f250", + 1970 + ], + [ + "chevy c20", + 1970 + ], + [ + "dodge d200", + 1970 + ], + [ + "hi 1200d", + 1970 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_048" + }, + { + "question_text": "What is the maker of the carr produced in the earliest year and what year was it?", + "database_name": "car_1", + "gold_sql": "SELECT T2.Make , T1.Year FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Year = (SELECT min(YEAR) FROM CARS_DATA);", + "gold_answer": [ + [ + "chevrolet chevelle malibu", + 1970 + ], + [ + "buick skylark 320", + 1970 + ], + [ + "plymouth satellite", + 1970 + ], + [ + "amc rebel sst", + 1970 + ], + [ + "ford torino", + 1970 + ], + [ + "ford galaxie 500", + 1970 + ], + [ + "chevrolet impala", + 1970 + ], + [ + "plymouth fury iii", + 1970 + ], + [ + "pontiac catalina", + 1970 + ], + [ + "amc ambassador dpl", + 1970 + ], + [ + "citroen ds-21 pallas", + 1970 + ], + [ + "chevrolet chevelle concours (sw)", + 1970 + ], + [ + "ford torino (sw)", + 1970 + ], + [ + "plymouth satellite (sw)", + 1970 + ], + [ + "amc rebel sst (sw)", + 1970 + ], + [ + "dodge challenger se", + 1970 + ], + [ + "plymouth cuda 340", + 1970 + ], + [ + "ford mustang boss 302", + 1970 + ], + [ + "chevrolet monte carlo", + 1970 + ], + [ + "buick estate wagon (sw)", + 1970 + ], + [ + "toyota corona mark ii", + 1970 + ], + [ + "plymouth duster", + 1970 + ], + [ + "amc hornet", + 1970 + ], + [ + "ford maverick", + 1970 + ], + [ + "datsun pl510", + 1970 + ], + [ + "volkswagen 1131 deluxe sedan", + 1970 + ], + [ + "peugeot 504", + 1970 + ], + [ + "audi 100 ls", + 1970 + ], + [ + "saab 99e", + 1970 + ], + [ + "bmw 2002", + 1970 + ], + [ + "amc gremlin", + 1970 + ], + [ + "ford f250", + 1970 + ], + [ + "chevy c20", + 1970 + ], + [ + "dodge d200", + 1970 + ], + [ + "hi 1200d", + 1970 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_049" + }, + { + "question_text": "Among the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name.", + "database_name": "car_1", + "gold_sql": "SELECT T2.MakeId , T2.Make FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id = T2.MakeId WHERE T1.Horsepower > (SELECT min(Horsepower) FROM CARS_DATA) AND T1.Cylinders <= 3;", + "gold_answer": [ + [ + 79, + "mazda rx2 coupe" + ], + [ + 119, + "mazda rx3" + ], + [ + 251, + "mazda rx-4" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_050" + }, + { + "question_text": "What is the largest amount of horsepower for the models with 3 cylinders and what make is it?", + "database_name": "car_1", + "gold_sql": "SELECT T2.horsepower , T1.Make FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.cylinders = 3 ORDER BY T2.horsepower DESC LIMIT 1;", + "gold_answer": [ + [ + "97", + "mazda rx2 coupe" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_051" + }, + { + "question_text": "What is the maximum horsepower and the make of the car models with 3 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT T2.horsepower , T1.Make FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.cylinders = 3 ORDER BY T2.horsepower DESC LIMIT 1;", + "gold_answer": [ + [ + "97", + "mazda rx2 coupe" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_052" + }, + { + "question_text": "What is the average edispl for all volvos?", + "database_name": "car_1", + "gold_sql": "SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo';", + "gold_answer": 133.5, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_053" + }, + { + "question_text": "What is the average edispl of the cars of model volvo?", + "database_name": "car_1", + "gold_sql": "SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo';", + "gold_answer": 133.5, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA", + "CAR_NAMES" + ], + "split": "train", + "question_id": "car_1_train_054" + }, + { + "question_text": "What is the average weight and year for each year?", + "database_name": "car_1", + "gold_sql": "SELECT avg(Weight) , YEAR FROM CARS_DATA GROUP BY YEAR;", + "gold_answer": [ + [ + 3441.3142857142857, + 1970 + ], + [ + 2960.344827586207, + 1971 + ], + [ + 3237.714285714286, + 1972 + ], + [ + 3419.025, + 1973 + ], + [ + 2877.925925925926, + 1974 + ], + [ + 3176.8, + 1975 + ], + [ + 3078.735294117647, + 1976 + ], + [ + 2997.3571428571427, + 1977 + ], + [ + 2861.8055555555557, + 1978 + ], + [ + 3055.344827586207, + 1979 + ], + [ + 2436.655172413793, + 1980 + ], + [ + 2532.1666666666665, + 1981 + ], + [ + 2453.548387096774, + 1982 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_055" + }, + { + "question_text": "What is the average weight of cars each year?", + "database_name": "car_1", + "gold_sql": "SELECT avg(Weight) , YEAR FROM CARS_DATA GROUP BY YEAR;", + "gold_answer": [ + [ + 3441.3142857142857, + 1970 + ], + [ + 2960.344827586207, + 1971 + ], + [ + 3237.714285714286, + 1972 + ], + [ + 3419.025, + 1973 + ], + [ + 2877.925925925926, + 1974 + ], + [ + 3176.8, + 1975 + ], + [ + 3078.735294117647, + 1976 + ], + [ + 2997.3571428571427, + 1977 + ], + [ + 2861.8055555555557, + 1978 + ], + [ + 3055.344827586207, + 1979 + ], + [ + 2436.655172413793, + 1980 + ], + [ + 2532.1666666666665, + 1981 + ], + [ + 2453.548387096774, + 1982 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_056" + }, + { + "question_text": "What is the average horsepower of the cars before 1980?", + "database_name": "car_1", + "gold_sql": "SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR < 1980;", + "gold_answer": 111.13291139240506, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_057" + }, + { + "question_text": "What is the average miles per gallon of all the cards with 4 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT avg(mpg) FROM CARS_DATA WHERE Cylinders = 4;", + "gold_answer": 28.86231884057971, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_058" + }, + { + "question_text": "What is the average miles per gallon(mpg) of the cars with 4 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT avg(mpg) FROM CARS_DATA WHERE Cylinders = 4;", + "gold_answer": 28.86231884057971, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_059" + }, + { + "question_text": "How many cars have more than 4 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CARS_DATA WHERE Cylinders > 4;", + "gold_answer": 195, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_060" + }, + { + "question_text": "What is the number of cars with more than 4 cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CARS_DATA WHERE Cylinders > 4;", + "gold_answer": 195, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_061" + }, + { + "question_text": "In 1980, how many cars were made?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CARS_DATA WHERE YEAR = 1980;", + "gold_answer": 29, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_062" + }, + { + "question_text": "how many cars were produced in 1980?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CARS_DATA WHERE YEAR = 1980;", + "gold_answer": 29, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_063" + }, + { + "question_text": "What is the number of cars with a horsepower greater than 150?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CARS_DATA WHERE horsepower > 150;", + "gold_answer": 281, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_064" + }, + { + "question_text": "What is the number of the cars with horsepower more than 150?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CARS_DATA WHERE horsepower > 150;", + "gold_answer": 281, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_065" + }, + { + "question_text": "How many car makers are there in france?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france';", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_066" + }, + { + "question_text": "What is the number of makers of care in France?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france';", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_067" + }, + { + "question_text": "How many car models were produced by the maker with full name American Motor Company?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company';", + "gold_answer": 1, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_068" + }, + { + "question_text": "What is the number of car models created by the car maker American Motor Company?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company';", + "gold_answer": 1, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CAR_MAKERS", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_069" + }, + { + "question_text": "How many continents are there?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CONTINENTS;", + "gold_answer": 5, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CONTINENTS" + ], + "split": "train", + "question_id": "car_1_train_070" + }, + { + "question_text": "What is the number of continents?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM CONTINENTS;", + "gold_answer": 5, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "CONTINENTS" + ], + "split": "train", + "question_id": "car_1_train_071" + }, + { + "question_text": "How many countries are listed?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM COUNTRIES;", + "gold_answer": 15, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_072" + }, + { + "question_text": "How many countries exist?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM COUNTRIES;", + "gold_answer": 15, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "COUNTRIES" + ], + "split": "train", + "question_id": "car_1_train_073" + }, + { + "question_text": "How many car models are produced in the usa?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa';", + "gold_answer": 13, + "answer_type": "integer", + "difficulty": "medium", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_074" + }, + { + "question_text": "What is the count of the car models produced in the United States?", + "database_name": "car_1", + "gold_sql": "SELECT count(*) FROM MODEL_LIST AS T1 JOIN CAR_MAKERS AS T2 ON T1.Maker = T2.Id JOIN COUNTRIES AS T3 ON T2.Country = T3.CountryId WHERE T3.CountryName = 'usa';", + "gold_answer": 13, + "answer_type": "integer", + "difficulty": "medium", + "tables_involved": [ + "CAR_MAKERS", + "COUNTRIES", + "MODEL_LIST" + ], + "split": "train", + "question_id": "car_1_train_075" + }, + { + "question_text": "What is the maximum accelerate for all the different cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT max(Accelerate) , Cylinders FROM CARS_DATA GROUP BY Cylinders;", + "gold_answer": [ + [ + 13.5, + 3 + ], + [ + 24.8, + 4 + ], + [ + 20.1, + 5 + ], + [ + 21.0, + 6 + ], + [ + 22.2, + 8 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_076" + }, + { + "question_text": "What is the maximum accelerate for different number of cylinders?", + "database_name": "car_1", + "gold_sql": "SELECT max(Accelerate) , Cylinders FROM CARS_DATA GROUP BY Cylinders;", + "gold_answer": [ + [ + 13.5, + 3 + ], + [ + 24.8, + 4 + ], + [ + 20.1, + 5 + ], + [ + 21.0, + 6 + ], + [ + 22.2, + 8 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "CARS_DATA" + ], + "split": "train", + "question_id": "car_1_train_077" + }, + { + "question_text": "What is the average horsepower for all cars produced before 1980 ?", + "database_name": "car_1", + "gold_sql": "select avg(horsepower) from cars_data where year < 1980;", + "gold_answer": 111.13291139240506, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_078" + }, + { + "question_text": "How many car models are produced by each maker ? Only list the count and the maker full name .", + "database_name": "car_1", + "gold_sql": "select count(*) , t2.fullname from model_list as t1 join car_makers as t2 on t1.maker = t2.id group by t2.id;", + "gold_answer": [ + [ + 1, + "American Motor Company" + ], + [ + 2, + "Volkswagen" + ], + [ + 1, + "BMW" + ], + [ + 5, + "General Motors" + ], + [ + 3, + "Ford Motor Company" + ], + [ + 4, + "Chrysler" + ], + [ + 1, + "Citroen" + ], + [ + 2, + "Nissan Motors" + ], + [ + 1, + "Fiat" + ], + [ + 1, + "Honda" + ], + [ + 1, + "Mazda" + ], + [ + 2, + "Daimler Benz" + ], + [ + 1, + "Opel" + ], + [ + 1, + "Peugeaut" + ], + [ + 1, + "Renault" + ], + [ + 1, + "Saab" + ], + [ + 1, + "Subaru" + ], + [ + 2, + "Toyota" + ], + [ + 1, + "Triumph" + ], + [ + 1, + "Volvo" + ], + [ + 1, + "Kia Motors" + ], + [ + 1, + "Hyundai" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "car_makers", + "model_list" + ], + "split": "train", + "question_id": "car_1_train_079" + }, + { + "question_text": "How many countries has more than 2 car makers ?", + "database_name": "car_1", + "gold_sql": "select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2", + "gold_answer": [ + 4, + 4, + 3, + 5 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "car_makers", + "countries" + ], + "split": "train", + "question_id": "car_1_train_080" + }, + { + "question_text": "What is the number of countries with more than 2 car makers ?", + "database_name": "car_1", + "gold_sql": "select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2", + "gold_answer": [ + 4, + 4, + 3, + 5 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "car_makers", + "countries" + ], + "split": "train", + "question_id": "car_1_train_081" + }, + { + "question_text": "In which years cars were produced weighing no less than 3000 and no more than 4000 ?", + "database_name": "car_1", + "gold_sql": "select distinct year from cars_data where weight between 3000 and 4000;", + "gold_answer": [ + 1970, + 1971, + 1972, + 1973, + 1974, + 1975, + 1976, + 1977, + 1978, + 1979, + 1980, + 1981, + 1982 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_082" + }, + { + "question_text": "What are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000 ?", + "database_name": "car_1", + "gold_sql": "select distinct year from cars_data where weight between 3000 and 4000;", + "gold_answer": [ + 1970, + 1971, + 1972, + 1973, + 1974, + 1975, + 1976, + 1977, + 1978, + 1979, + 1980, + 1981, + 1982 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_083" + }, + { + "question_text": "What is the maximum miles per gallon of the car with 8 cylinders or produced before 1980 ?", + "database_name": "car_1", + "gold_sql": "select max(mpg) from cars_data where cylinders = 8 or year < 1980", + "gold_answer": "null", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_084" + }, + { + "question_text": "What is the maximum mpg of the cars that had 8 cylinders or that were produced before 1980 ?", + "database_name": "car_1", + "gold_sql": "select max(mpg) from cars_data where cylinders = 8 or year < 1980", + "gold_answer": "null", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_085" + }, + { + "question_text": "What is the minimum weight of the car with 8 cylinders produced in 1974 ?", + "database_name": "car_1", + "gold_sql": "select min(weight) from cars_data where cylinders = 8 and year = 1974", + "gold_answer": 4141, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_086" + }, + { + "question_text": "What is the smallest weight of the car produced with 8 cylinders on 1974 ?", + "database_name": "car_1", + "gold_sql": "select min(weight) from cars_data where cylinders = 8 and year = 1974", + "gold_answer": 4141, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_087" + }, + { + "question_text": "What are the ids and names of all countries that either have more than 3 car makers or produce fiat model ?", + "database_name": "car_1", + "gold_sql": "select t1.countryid , t1.countryname from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 3 union select t1.countryid , t1.countryname from countries as t1 join car_makers as t2 on t1.countryid = t2.country join model_list as t3 on t2.id = t3.maker where t3.model = 'fiat';", + "gold_answer": [ + [ + 1, + "usa" + ], + [ + 2, + "germany" + ], + [ + 4, + "japan" + ], + [ + 5, + "italy" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "car_makers", + "countries", + "model_list" + ], + "split": "train", + "question_id": "car_1_train_088" + }, + { + "question_text": "Which are the car makers which produce at least 2 models and more than 3 car makers ? List the id and the maker .", + "database_name": "car_1", + "gold_sql": "select t1.id , t1.maker from car_makers as t1 join model_list as t2 on t1.id = t2.maker group by t1.id having count(*) >= 2 intersect select t1.id , t1.maker from car_makers as t1 join model_list as t2 on t1.id = t2.maker join car_names as t3 on t2.model = t3.model group by t1.id having count(*) > 3;", + "gold_answer": [ + [ + 2, + "volkswagen" + ], + [ + 4, + "gm" + ], + [ + 5, + "ford" + ], + [ + 6, + "chrysler" + ], + [ + 8, + "nissan" + ], + [ + 19, + "toyota" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "car_makers", + "car_names", + "model_list" + ], + "split": "train", + "question_id": "car_1_train_089" + }, + { + "question_text": "What is the car model with the highest mpg ?", + "database_name": "car_1", + "gold_sql": "select t1.model from car_names as t1 join cars_data as t2 on t1.makeid = t2.id order by t2.mpg desc limit 1;", + "gold_answer": "citroen", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "car_names", + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_090" + }, + { + "question_text": "Among the cars that do not have the minimum horsepower , what are the make ids and names of all those with less than 4 cylinders ?", + "database_name": "car_1", + "gold_sql": "select t2.makeid , t2.make from cars_data as t1 join car_names as t2 on t1.id = t2.makeid where t1.horsepower > (select min(horsepower) from cars_data) and t1.cylinders < 4;", + "gold_answer": [ + [ + 79, + "mazda rx2 coupe" + ], + [ + 119, + "mazda rx3" + ], + [ + 251, + "mazda rx-4" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "car_names", + "cars_data" + ], + "split": "train", + "question_id": "car_1_train_091" + }, + { + "question_text": "What are the different countries with singers above age 20?", + "database_name": "concert_singer", + "gold_sql": "SELECT DISTINCT country FROM singer WHERE age > 20", + "gold_answer": [ + "Netherlands", + "United States", + "France" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_000" + }, + { + "question_text": "What are all distinct countries where singers above age 20 are from?", + "database_name": "concert_singer", + "gold_sql": "SELECT DISTINCT country FROM singer WHERE age > 20", + "gold_answer": [ + "Netherlands", + "United States", + "France" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_001" + }, + { + "question_text": "Show location and name for all stadiums with a capacity between 5000 and 10000.", + "database_name": "concert_singer", + "gold_sql": "SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_002" + }, + { + "question_text": "What are the locations and names of all stations with capacity between 5000 and 10000?", + "database_name": "concert_singer", + "gold_sql": "SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_003" + }, + { + "question_text": "Show the name and theme for all concerts and the number of singers in each concert.", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.concert_name , T2.theme , count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T2.concert_id", + "gold_answer": [ + [ + "Auditions", + "Free choice", + 3 + ], + [ + "Super bootcamp", + "Free choice 2", + 2 + ], + [ + "Home Visits", + "Bleeding Love", + 1 + ], + [ + "Week 1", + "Wide Awake", + 1 + ], + [ + "Week 1", + "Happy Tonight", + 2 + ], + [ + "Week 2", + "Party All Night", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "singer_in_concert" + ], + "split": "train", + "question_id": "concert_singer_train_004" + }, + { + "question_text": "Show the stadium name and capacity with most number of concerts in year 2014 or after.", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year >= 2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + "Somerset Park", + 11998 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_005" + }, + { + "question_text": "Find the name and location of the stadiums which some concerts happened in the years of both 2014 and 2015.", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015", + "gold_answer": [ + [ + "Somerset Park", + "Ayr United" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_006" + }, + { + "question_text": "What are the names and locations of the stadiums that had concerts that occurred in both 2014 and 2015?", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015", + "gold_answer": [ + [ + "Somerset Park", + "Ayr United" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_007" + }, + { + "question_text": "For each stadium, how many concerts play there?", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id", + "gold_answer": [ + [ + "Stark's Park", + 1 + ], + [ + "Glebe Park", + 1 + ], + [ + "Somerset Park", + 2 + ], + [ + "Recreation Park", + 1 + ], + [ + "Balmoor", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_008" + }, + { + "question_text": "Show the stadium name and the number of concerts in each stadium.", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id", + "gold_answer": [ + [ + "Stark's Park", + 1 + ], + [ + "Glebe Park", + 1 + ], + [ + "Somerset Park", + 2 + ], + [ + "Recreation Park", + 1 + ], + [ + "Balmoor", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_009" + }, + { + "question_text": "List singer names and number of concerts for each singer.", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id", + "gold_answer": [ + [ + "Timbaland", + 2 + ], + [ + "Justin Brown", + 3 + ], + [ + "Rose White", + 1 + ], + [ + "John Nizinik", + 2 + ], + [ + "Tribal King", + 2 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer", + "singer_in_concert" + ], + "split": "train", + "question_id": "concert_singer_train_010" + }, + { + "question_text": "What are the names of the singers and number of concerts for each person?", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id", + "gold_answer": [ + [ + "Timbaland", + 2 + ], + [ + "Justin Brown", + 3 + ], + [ + "Rose White", + 1 + ], + [ + "John Nizinik", + 2 + ], + [ + "Tribal King", + 2 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer", + "singer_in_concert" + ], + "split": "train", + "question_id": "concert_singer_train_011" + }, + { + "question_text": "List all singer names in concerts in year 2014.", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014", + "gold_answer": [ + "Timbaland", + "Justin Brown", + "John Nizinik", + "Justin Brown", + "Tribal King", + "Rose White" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "concert", + "singer", + "singer_in_concert" + ], + "split": "train", + "question_id": "concert_singer_train_012" + }, + { + "question_text": "What are the names of the singers who performed in a concert in 2014?", + "database_name": "concert_singer", + "gold_sql": "SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014", + "gold_answer": [ + "Timbaland", + "Justin Brown", + "John Nizinik", + "Justin Brown", + "Tribal King", + "Rose White" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "concert", + "singer", + "singer_in_concert" + ], + "split": "train", + "question_id": "concert_singer_train_013" + }, + { + "question_text": "What is the year that had the most concerts?", + "database_name": "concert_singer", + "gold_sql": "SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "2015", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "concert" + ], + "split": "train", + "question_id": "concert_singer_train_014" + }, + { + "question_text": "Which year has most number of concerts?", + "database_name": "concert_singer", + "gold_sql": "SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "2015", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "concert" + ], + "split": "train", + "question_id": "concert_singer_train_015" + }, + { + "question_text": "What is the average, minimum, and maximum age for all French singers?", + "database_name": "concert_singer", + "gold_sql": "SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France'", + "gold_answer": [ + [ + 34.5, + 25, + 43 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_016" + }, + { + "question_text": "What is the average, minimum, and maximum age of all singers from France?", + "database_name": "concert_singer", + "gold_sql": "SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France'", + "gold_answer": [ + [ + 34.5, + 25, + 43 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_017" + }, + { + "question_text": "How many concerts are there in year 2014 or 2015?", + "database_name": "concert_singer", + "gold_sql": "SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "concert" + ], + "split": "train", + "question_id": "concert_singer_train_018" + }, + { + "question_text": "How many concerts occurred in 2014 or 2015?", + "database_name": "concert_singer", + "gold_sql": "SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "concert" + ], + "split": "train", + "question_id": "concert_singer_train_019" + }, + { + "question_text": "How many singers do we have?", + "database_name": "concert_singer", + "gold_sql": "SELECT count(*) FROM singer", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_020" + }, + { + "question_text": "What is the total number of singers?", + "database_name": "concert_singer", + "gold_sql": "SELECT count(*) FROM singer", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_021" + }, + { + "question_text": "How many singers are from each country?", + "database_name": "concert_singer", + "gold_sql": "SELECT country , count(*) FROM singer GROUP BY country", + "gold_answer": [ + [ + "France", + 4 + ], + [ + "Netherlands", + 1 + ], + [ + "United States", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_022" + }, + { + "question_text": "Show all countries and the number of singers in each country.", + "database_name": "concert_singer", + "gold_sql": "SELECT country , count(*) FROM singer GROUP BY country", + "gold_answer": [ + [ + "France", + 4 + ], + [ + "Netherlands", + 1 + ], + [ + "United States", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_023" + }, + { + "question_text": "Show countries where a singer above age 40 and a singer below 30 are from.", + "database_name": "concert_singer", + "gold_sql": "SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30", + "gold_answer": "France", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_024" + }, + { + "question_text": "What is the name and capacity for the stadium with highest average attendance?", + "database_name": "concert_singer", + "gold_sql": "SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1", + "gold_answer": [ + [ + "Stark's Park", + 10104 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_025" + }, + { + "question_text": "What is the name and capacity for the stadium with the highest average attendance?", + "database_name": "concert_singer", + "gold_sql": "SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1", + "gold_answer": [ + [ + "Stark's Park", + 10104 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_026" + }, + { + "question_text": "Show name, country, age for all singers ordered by age from the oldest to the youngest.", + "database_name": "concert_singer", + "gold_sql": "SELECT name , country , age FROM singer ORDER BY age DESC", + "gold_answer": [ + [ + "Joe Sharp", + "Netherlands", + 52 + ], + [ + "John Nizinik", + "France", + 43 + ], + [ + "Rose White", + "France", + 41 + ], + [ + "Timbaland", + "United States", + 32 + ], + [ + "Justin Brown", + "France", + 29 + ], + [ + "Tribal King", + "France", + 25 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_027" + }, + { + "question_text": "What are the names, countries, and ages for every singer in descending order of age?", + "database_name": "concert_singer", + "gold_sql": "SELECT name , country , age FROM singer ORDER BY age DESC", + "gold_answer": [ + [ + "Joe Sharp", + "Netherlands", + 52 + ], + [ + "John Nizinik", + "France", + 43 + ], + [ + "Rose White", + "France", + 41 + ], + [ + "Timbaland", + "United States", + 32 + ], + [ + "Justin Brown", + "France", + 29 + ], + [ + "Tribal King", + "France", + 25 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_028" + }, + { + "question_text": "What is the name and country of origin of every singer who has a song with the word 'Hey' in its title?", + "database_name": "concert_singer", + "gold_sql": "SELECT name , country FROM singer WHERE song_name LIKE '%Hey%'", + "gold_answer": [ + [ + "Justin Brown", + "France" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_029" + }, + { + "question_text": "what is the name and nation of the singer who have a song having 'Hey' in its name?", + "database_name": "concert_singer", + "gold_sql": "SELECT name , country FROM singer WHERE song_name LIKE '%Hey%'", + "gold_answer": [ + [ + "Justin Brown", + "France" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_030" + }, + { + "question_text": "Show names for all stadiums except for stadiums having a concert in year 2014.", + "database_name": "concert_singer", + "gold_sql": "SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014", + "gold_answer": [ + "Balmoor", + "Bayview Stadium", + "Forthbank Stadium", + "Gayfield Park", + "Hampden Park", + "Recreation Park" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_031" + }, + { + "question_text": "What are the names of all stadiums that did not have a concert in 2014?", + "database_name": "concert_singer", + "gold_sql": "SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014", + "gold_answer": [ + "Balmoor", + "Bayview Stadium", + "Forthbank Stadium", + "Gayfield Park", + "Hampden Park", + "Recreation Park" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_032" + }, + { + "question_text": "Show the stadium names without any concert.", + "database_name": "concert_singer", + "gold_sql": "SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)", + "gold_answer": [ + "Bayview Stadium", + "Hampden Park", + "Forthbank Stadium", + "Gayfield Park" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_033" + }, + { + "question_text": "What are the names of the stadiums without any concerts?", + "database_name": "concert_singer", + "gold_sql": "SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)", + "gold_answer": [ + "Bayview Stadium", + "Hampden Park", + "Forthbank Stadium", + "Gayfield Park" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_034" + }, + { + "question_text": "Show the name and the release year of the song by the youngest singer.", + "database_name": "concert_singer", + "gold_sql": "SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1", + "gold_answer": [ + [ + "Love", + "2016" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_035" + }, + { + "question_text": "What are the names and release years for all the songs of the youngest singer?", + "database_name": "concert_singer", + "gold_sql": "SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1", + "gold_answer": [ + [ + "Love", + "2016" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_036" + }, + { + "question_text": "List all song names by singers above the average age.", + "database_name": "concert_singer", + "gold_sql": "SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer)", + "gold_answer": [ + "You", + "Sun", + "Gentleman" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_037" + }, + { + "question_text": "What are all the song names by singers who are older than average?", + "database_name": "concert_singer", + "gold_sql": "SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer)", + "gold_answer": [ + "You", + "Sun", + "Gentleman" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "singer" + ], + "split": "train", + "question_id": "concert_singer_train_038" + }, + { + "question_text": "What is the average and maximum capacities for all stadiums ?", + "database_name": "concert_singer", + "gold_sql": "select avg(capacity) , max(capacity) from stadium", + "gold_answer": [ + [ + 10621.666666666666, + 52500 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_039" + }, + { + "question_text": "Find the number of concerts happened in the stadium with the highest capacity .", + "database_name": "concert_singer", + "gold_sql": "select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1)", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_040" + }, + { + "question_text": "What are the number of concerts that occurred in the stadium with the largest capacity ?", + "database_name": "concert_singer", + "gold_sql": "select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1)", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_041" + }, + { + "question_text": "What is the maximum capacity and the average of all stadiums ?", + "database_name": "concert_singer", + "gold_sql": "select max(capacity), average from stadium", + "gold_answer": [ + [ + 52500, + 730 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_042" + }, + { + "question_text": "What are the names , themes , and number of singers for every concert ?", + "database_name": "concert_singer", + "gold_sql": "select t2.concert_name , t2.theme , count(*) from singer_in_concert as t1 join concert as t2 on t1.concert_id = t2.concert_id group by t2.concert_id", + "gold_answer": [ + [ + "Auditions", + "Free choice", + 3 + ], + [ + "Super bootcamp", + "Free choice 2", + 2 + ], + [ + "Home Visits", + "Bleeding Love", + 1 + ], + [ + "Week 1", + "Wide Awake", + 1 + ], + [ + "Week 1", + "Happy Tonight", + 2 + ], + [ + "Week 2", + "Party All Night", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "singer_in_concert" + ], + "split": "train", + "question_id": "concert_singer_train_043" + }, + { + "question_text": "What is the name and capacity of the stadium with the most concerts after 2013 ?", + "database_name": "concert_singer", + "gold_sql": "select t2.name , t2.capacity from concert as t1 join stadium as t2 on t1.stadium_id = t2.stadium_id where t1.year > 2013 group by t2.stadium_id order by count(*) desc limit 1", + "gold_answer": [ + [ + "Somerset Park", + 11998 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "concert", + "stadium" + ], + "split": "train", + "question_id": "concert_singer_train_044" + }, + { + "question_text": "Return the different descriptions for templates that have been used in a document.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT DISTINCT T1.template_type_description FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code = T2.template_type_code JOIN Documents AS T3 ON T2.Template_ID = T3.template_ID", + "gold_answer": [ + "Presentation", + "Paper", + "Book", + "Advertisement" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "Documents", + "Ref_template_types", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_000" + }, + { + "question_text": "What are the distinct template type descriptions for the templates ever used by any document?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT DISTINCT T1.template_type_description FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code = T2.template_type_code JOIN Documents AS T3 ON T2.Template_ID = T3.template_ID", + "gold_answer": [ + "Presentation", + "Paper", + "Book", + "Advertisement" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "Documents", + "Ref_template_types", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_001" + }, + { + "question_text": "Show all distinct template type codes for all templates.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT DISTINCT template_type_code FROM Templates", + "gold_answer": [ + "PP", + "BK", + "PPT", + "AD", + "CV" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_002" + }, + { + "question_text": "What are the different template type codes?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT DISTINCT template_type_code FROM Templates", + "gold_answer": [ + "PP", + "BK", + "PPT", + "AD", + "CV" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_003" + }, + { + "question_text": "Show all document ids, names and the number of paragraphs in each document.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.document_id , T2.document_name , count(*) FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id", + "gold_answer": [ + [ + 3, + "Summer Show", + 1 + ], + [ + 80, + "Welcome to NY", + 2 + ], + [ + 2394, + "Customer reviews", + 3 + ], + [ + 3830, + "Do not panic", + 1 + ], + [ + 33930, + "How Google people work", + 1 + ], + [ + 50123, + "Learning French", + 1 + ], + [ + 651512, + "How to write a CV", + 2 + ], + [ + 3540024, + "Palm reading", + 1 + ], + [ + 16514113, + "A history of Arts", + 2 + ], + [ + 385906526, + "About Korea", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_004" + }, + { + "question_text": "What are the ids and names of each document, as well as the number of paragraphs in each?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.document_id , T2.document_name , count(*) FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id", + "gold_answer": [ + [ + 3, + "Summer Show", + 1 + ], + [ + 80, + "Welcome to NY", + 2 + ], + [ + 2394, + "Customer reviews", + 3 + ], + [ + 3830, + "Do not panic", + 1 + ], + [ + 33930, + "How Google people work", + 1 + ], + [ + 50123, + "Learning French", + 1 + ], + [ + 651512, + "How to write a CV", + 2 + ], + [ + 3540024, + "Palm reading", + 1 + ], + [ + 16514113, + "A history of Arts", + 2 + ], + [ + 385906526, + "About Korea", + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_005" + }, + { + "question_text": "Return the id and name of the document with the most paragraphs.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.document_id , T2.document_name FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 2394, + "Customer reviews" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_006" + }, + { + "question_text": "What is the document id and name with greatest number of paragraphs?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.document_id , T2.document_name FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 2394, + "Customer reviews" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_007" + }, + { + "question_text": "Show all paragraph ids and texts for the document with name 'Welcome to NY'.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.paragraph_id , T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.Document_Name = 'Welcome to NY'", + "gold_answer": [ + [ + 16615, + "Japan" + ], + [ + 608931827, + "Micronesia" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_008" + }, + { + "question_text": "What are the ids and texts of paragraphs in the document titled 'Welcome to NY'?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.paragraph_id , T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.Document_Name = 'Welcome to NY'", + "gold_answer": [ + [ + 16615, + "Japan" + ], + [ + 608931827, + "Micronesia" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_009" + }, + { + "question_text": "Show all paragraph texts for the document \"Customer reviews\".", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.document_name = \"Customer reviews\"", + "gold_answer": [ + "Korea", + "Ukraine", + "Korea" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_010" + }, + { + "question_text": "What are the paragraph texts for the document with the name 'Customer reviews'?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.document_name = \"Customer reviews\"", + "gold_answer": [ + "Korea", + "Ukraine", + "Korea" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_011" + }, + { + "question_text": "Return the id and type code of the template that is used for the greatest number of documents.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_id , T2.Template_Type_Code FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 25, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_012" + }, + { + "question_text": "What is the id and type code for the template used by the most documents?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_id , T2.Template_Type_Code FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 25, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_013" + }, + { + "question_text": "Show all template type codes and the number of documents using each type.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_type_code , count(*) FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_type_code", + "gold_answer": [ + [ + "AD", + 3 + ], + [ + "BK", + 5 + ], + [ + "PP", + 4 + ], + [ + "PPT", + 3 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_014" + }, + { + "question_text": "What are the different template type codes, and how many documents use each type?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_type_code , count(*) FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_type_code", + "gold_answer": [ + [ + "AD", + 3 + ], + [ + "BK", + 5 + ], + [ + "PP", + 4 + ], + [ + "PPT", + 3 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_015" + }, + { + "question_text": "Return the code of the template type that is most commonly used in documents.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_type_code ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "BK", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_016" + }, + { + "question_text": "Which template type code is used by most number of documents?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_type_code ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "BK", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_017" + }, + { + "question_text": "Return the template type code of the template that is used by a document named Data base.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id WHERE T2.document_name = \"Data base\"", + "gold_answer": "BK", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_018" + }, + { + "question_text": "What is the template type code of the template used by document with the name \"Data base\"?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T1.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id WHERE T2.document_name = \"Data base\"", + "gold_answer": "BK", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_019" + }, + { + "question_text": "Show all document names using templates with template type code BK.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T2.document_name FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id WHERE T1.template_type_code = \"BK\"", + "gold_answer": [ + "Robbin CV", + "Data base", + "How to read a book", + "Palm reading", + "About Korea" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_020" + }, + { + "question_text": "What are the names of documents that use templates with the code BK?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T2.document_name FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id WHERE T1.template_type_code = \"BK\"", + "gold_answer": [ + "Robbin CV", + "Data base", + "How to read a book", + "Palm reading", + "About Korea" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_021" + }, + { + "question_text": "Return the ids corresponding to templates with the description 'Presentation'.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T2.template_id FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code = T2.template_type_code WHERE T1.template_type_description = \"Presentation\"", + "gold_answer": [ + 6, + 7, + 10 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_022" + }, + { + "question_text": "What are the template ids with template type description \"Presentation\".", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT T2.template_id FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code = T2.template_type_code WHERE T1.template_type_description = \"Presentation\"", + "gold_answer": [ + 6, + 7, + 10 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_023" + }, + { + "question_text": "Count the number of documents.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Documents", + "gold_answer": 15, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_024" + }, + { + "question_text": "How many documents do we have?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Documents", + "gold_answer": 15, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_025" + }, + { + "question_text": "Count the number of documents that use the PPT template type.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Documents AS T1 JOIN Templates AS T2 ON T1.Template_ID = T2.Template_ID WHERE T2.Template_Type_Code = 'PPT'", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_026" + }, + { + "question_text": "How many documents are using the template with type code 'PPT'?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Documents AS T1 JOIN Templates AS T2 ON T1.Template_ID = T2.Template_ID WHERE T2.Template_Type_Code = 'PPT'", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_027" + }, + { + "question_text": "Count the number of paragraphs.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Paragraphs", + "gold_answer": 15, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_028" + }, + { + "question_text": "How many paragraphs in total?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Paragraphs", + "gold_answer": 15, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_029" + }, + { + "question_text": "Count the number of paragraphs in the document named 'Summer Show'.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_ID = T2.document_ID WHERE T2.document_name = 'Summer Show'", + "gold_answer": 1, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_030" + }, + { + "question_text": "How many paragraphs for the document with name 'Summer Show'?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_ID = T2.document_ID WHERE T2.document_name = 'Summer Show'", + "gold_answer": 1, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_031" + }, + { + "question_text": "Count the number of templates.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Templates", + "gold_answer": 20, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_032" + }, + { + "question_text": "How many templates do we have?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Templates", + "gold_answer": 20, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_033" + }, + { + "question_text": "Count the number of templates of the type CV.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Templates WHERE template_type_code = \"CV\"", + "gold_answer": 2, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_034" + }, + { + "question_text": "How many templates have template type code CV?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(*) FROM Templates WHERE template_type_code = \"CV\"", + "gold_answer": 2, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_035" + }, + { + "question_text": "Count the number of different templates used for documents.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(DISTINCT template_id) FROM Documents", + "gold_answer": 12, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_036" + }, + { + "question_text": "How many different templates do all document use?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT count(DISTINCT template_id) FROM Documents", + "gold_answer": 12, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_037" + }, + { + "question_text": "Return the different document ids along with the number of paragraphs corresponding to each, ordered by id.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id , count(*) FROM Paragraphs GROUP BY document_id ORDER BY document_id", + "gold_answer": [ + [ + 3, + 1 + ], + [ + 80, + 2 + ], + [ + 2394, + 3 + ], + [ + 3830, + 1 + ], + [ + 33930, + 1 + ], + [ + 50123, + 1 + ], + [ + 651512, + 2 + ], + [ + 3540024, + 1 + ], + [ + 16514113, + 2 + ], + [ + 385906526, + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_038" + }, + { + "question_text": "Show all document ids and the number of paragraphs in each document. Order by document id.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id , count(*) FROM Paragraphs GROUP BY document_id ORDER BY document_id", + "gold_answer": [ + [ + 3, + 1 + ], + [ + 80, + 2 + ], + [ + 2394, + 3 + ], + [ + 3830, + 1 + ], + [ + 33930, + 1 + ], + [ + 50123, + 1 + ], + [ + 651512, + 2 + ], + [ + 3540024, + 1 + ], + [ + 16514113, + 2 + ], + [ + 385906526, + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_039" + }, + { + "question_text": "List document IDs, document names, and document descriptions for all documents.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id , document_name , document_description FROM Documents", + "gold_answer": [ + [ + 0, + "Introduction of OS", + "n" + ], + [ + 1, + "Understanding DB", + "y" + ], + [ + 3, + "Summer Show", + "u" + ], + [ + 76, + "Robbin CV", + "y" + ], + [ + 80, + "Welcome to NY", + "h" + ], + [ + 82, + "Data base", + "w" + ], + [ + 2394, + "Customer reviews", + "y" + ], + [ + 3830, + "Do not panic", + "k" + ], + [ + 33930, + "How Google people work", + "z" + ], + [ + 50123, + "Learning French", + "r" + ], + [ + 651512, + "How to write a CV", + "f" + ], + [ + 801801, + "How to read a book", + "w" + ], + [ + 3540024, + "Palm reading", + "y" + ], + [ + 16514113, + "A history of Arts", + "h" + ], + [ + 385906526, + "About Korea", + "b" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_040" + }, + { + "question_text": "What are the ids, names, and descriptions for all documents?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id , document_name , document_description FROM Documents", + "gold_answer": [ + [ + 0, + "Introduction of OS", + "n" + ], + [ + 1, + "Understanding DB", + "y" + ], + [ + 3, + "Summer Show", + "u" + ], + [ + 76, + "Robbin CV", + "y" + ], + [ + 80, + "Welcome to NY", + "h" + ], + [ + 82, + "Data base", + "w" + ], + [ + 2394, + "Customer reviews", + "y" + ], + [ + 3830, + "Do not panic", + "k" + ], + [ + 33930, + "How Google people work", + "z" + ], + [ + 50123, + "Learning French", + "r" + ], + [ + 651512, + "How to write a CV", + "f" + ], + [ + 801801, + "How to read a book", + "w" + ], + [ + 3540024, + "Palm reading", + "y" + ], + [ + 16514113, + "A history of Arts", + "h" + ], + [ + 385906526, + "About Korea", + "b" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_041" + }, + { + "question_text": "Return the document id, template id, and description for the document with the name Robbin CV.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id , template_id , Document_Description FROM Documents WHERE document_name = \"Robbin CV\"", + "gold_answer": [ + [ + 76, + 20, + "y" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_042" + }, + { + "question_text": "What is the document id, template id and description for document named \"Robbin CV\"?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id , template_id , Document_Description FROM Documents WHERE document_name = \"Robbin CV\"", + "gold_answer": [ + [ + 76, + 20, + "y" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_043" + }, + { + "question_text": "List all document ids with at least two paragraphs.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs GROUP BY document_id HAVING count(*) >= 2", + "gold_answer": [ + 80, + 2394, + 651512, + 16514113 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_044" + }, + { + "question_text": "What are the ids of documents that have 2 or more paragraphs?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs GROUP BY document_id HAVING count(*) >= 2", + "gold_answer": [ + 80, + 2394, + 651512, + 16514113 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_045" + }, + { + "question_text": "Give the ids of documents that have between one and two paragraphs.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs GROUP BY document_id HAVING count(*) BETWEEN 1 AND 2", + "gold_answer": [ + 3, + 80, + 3830, + 33930, + 50123, + 651512, + 3540024, + 16514113, + 385906526 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_046" + }, + { + "question_text": "What is the document id with 1 to 2 paragraphs?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs GROUP BY document_id HAVING count(*) BETWEEN 1 AND 2", + "gold_answer": [ + 3, + 80, + 3830, + 33930, + 50123, + 651512, + 3540024, + 16514113, + 385906526 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_047" + }, + { + "question_text": "Return the id of the document with the fewest paragraphs.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs GROUP BY document_id ORDER BY count(*) ASC LIMIT 1", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_048" + }, + { + "question_text": "What is the document id with least number of paragraphs?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs GROUP BY document_id ORDER BY count(*) ASC LIMIT 1", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_049" + }, + { + "question_text": "Show the document id with paragraph text 'Brazil' and 'Ireland'.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Brazil' INTERSECT SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Ireland'", + "gold_answer": 16514113, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_050" + }, + { + "question_text": "What are the ids of documents that contain the paragraph text 'Brazil' and 'Ireland'?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Brazil' INTERSECT SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Ireland'", + "gold_answer": 16514113, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_051" + }, + { + "question_text": "Return the names and template ids for documents that contain the letter w in their description.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_name , template_id FROM Documents WHERE Document_Description LIKE \"%w%\"", + "gold_answer": [ + [ + "Data base", + 11 + ], + [ + "How to read a book", + 4 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_052" + }, + { + "question_text": "What is the document name and template id for document with description with the letter 'w' in it?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT document_name , template_id FROM Documents WHERE Document_Description LIKE \"%w%\"", + "gold_answer": [ + [ + "Data base", + 11 + ], + [ + "How to read a book", + 4 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_053" + }, + { + "question_text": "Return the lowest version number, along with its corresponding template type code.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT min(Version_Number) , template_type_code FROM Templates", + "gold_answer": [ + [ + 0, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_054" + }, + { + "question_text": "What the smallest version number and its template type code?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT min(Version_Number) , template_type_code FROM Templates", + "gold_answer": [ + [ + 0, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_055" + }, + { + "question_text": "Show all template ids and number of documents using each template.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id , count(*) FROM Documents GROUP BY template_id", + "gold_answer": [ + [ + 1, + 1 + ], + [ + 4, + 1 + ], + [ + 6, + 1 + ], + [ + 7, + 1 + ], + [ + 8, + 1 + ], + [ + 10, + 1 + ], + [ + 11, + 2 + ], + [ + 14, + 2 + ], + [ + 20, + 1 + ], + [ + 21, + 1 + ], + [ + 22, + 1 + ], + [ + 25, + 2 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_056" + }, + { + "question_text": "What are all different template ids used for documents, and how many times were each of them used?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id , count(*) FROM Documents GROUP BY template_id", + "gold_answer": [ + [ + 1, + 1 + ], + [ + 4, + 1 + ], + [ + 6, + 1 + ], + [ + 7, + 1 + ], + [ + 8, + 1 + ], + [ + 10, + 1 + ], + [ + 11, + 2 + ], + [ + 14, + 2 + ], + [ + 20, + 1 + ], + [ + 21, + 1 + ], + [ + 22, + 1 + ], + [ + 25, + 2 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_057" + }, + { + "question_text": "Show template ids, version numbers, and template type codes for all templates.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id , version_number , template_type_code FROM Templates", + "gold_answer": [ + [ + 0, + 5, + "PP" + ], + [ + 1, + 9, + "PP" + ], + [ + 4, + 4, + "BK" + ], + [ + 6, + 2, + "PPT" + ], + [ + 7, + 8, + "PPT" + ], + [ + 8, + 3, + "BK" + ], + [ + 9, + 2, + "BK" + ], + [ + 10, + 1, + "PPT" + ], + [ + 11, + 6, + "BK" + ], + [ + 14, + 7, + "AD" + ], + [ + 15, + 9, + "CV" + ], + [ + 16, + 5, + "CV" + ], + [ + 18, + 5, + "PP" + ], + [ + 19, + 7, + "AD" + ], + [ + 20, + 6, + "BK" + ], + [ + 21, + 9, + "AD" + ], + [ + 22, + 0, + "PP" + ], + [ + 23, + 2, + "BK" + ], + [ + 24, + 8, + "PP" + ], + [ + 25, + 5, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_058" + }, + { + "question_text": "What are the ids, version numbers, and type codes for each template?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id , version_number , template_type_code FROM Templates", + "gold_answer": [ + [ + 0, + 5, + "PP" + ], + [ + 1, + 9, + "PP" + ], + [ + 4, + 4, + "BK" + ], + [ + 6, + 2, + "PPT" + ], + [ + 7, + 8, + "PPT" + ], + [ + 8, + 3, + "BK" + ], + [ + 9, + 2, + "BK" + ], + [ + 10, + 1, + "PPT" + ], + [ + 11, + 6, + "BK" + ], + [ + 14, + 7, + "AD" + ], + [ + 15, + 9, + "CV" + ], + [ + 16, + 5, + "CV" + ], + [ + 18, + 5, + "PP" + ], + [ + 19, + 7, + "AD" + ], + [ + 20, + 6, + "BK" + ], + [ + 21, + 9, + "AD" + ], + [ + 22, + 0, + "PP" + ], + [ + 23, + 2, + "BK" + ], + [ + 24, + 8, + "PP" + ], + [ + 25, + 5, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_059" + }, + { + "question_text": "Show ids for all templates that are used by more than one document.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id FROM Documents GROUP BY template_id HAVING count(*) > 1", + "gold_answer": [ + 11, + 14, + 25 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_060" + }, + { + "question_text": "What are the template ids of any templates used in more than a single document?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id FROM Documents GROUP BY template_id HAVING count(*) > 1", + "gold_answer": [ + 11, + 14, + 25 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_061" + }, + { + "question_text": "Show ids for all templates not used by any document.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id FROM Templates EXCEPT SELECT template_id FROM Documents", + "gold_answer": [ + 0, + 9, + 15, + 16, + 18, + 19, + 23, + 24 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_062" + }, + { + "question_text": "What are the ids for templates that are not used in any documents?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id FROM Templates EXCEPT SELECT template_id FROM Documents", + "gold_answer": [ + 0, + 9, + 15, + 16, + 18, + 19, + 23, + 24 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_063" + }, + { + "question_text": "Return the ids of templates that have the code PP or PPT.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id FROM Templates WHERE template_type_code = \"PP\" OR template_type_code = \"PPT\"", + "gold_answer": [ + 0, + 1, + 6, + 7, + 10, + 18, + 22, + 24, + 25 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_064" + }, + { + "question_text": "What are the ids of templates with template type code PP or PPT?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_id FROM Templates WHERE template_type_code = \"PP\" OR template_type_code = \"PPT\"", + "gold_answer": [ + 0, + 1, + 6, + 7, + 10, + 18, + 22, + 24, + 25 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_065" + }, + { + "question_text": "Show all template type codes and number of templates for each.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code , count(*) FROM Templates GROUP BY template_type_code", + "gold_answer": [ + [ + "AD", + 3 + ], + [ + "BK", + 6 + ], + [ + "CV", + 2 + ], + [ + "PP", + 6 + ], + [ + "PPT", + 3 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_066" + }, + { + "question_text": "What are the different template type codes, and how many templates correspond to each?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code , count(*) FROM Templates GROUP BY template_type_code", + "gold_answer": [ + [ + "AD", + 3 + ], + [ + "BK", + 6 + ], + [ + "CV", + 2 + ], + [ + "PP", + 6 + ], + [ + "PPT", + 3 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_067" + }, + { + "question_text": "Show all template type codes and descriptions.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code , template_type_description FROM Ref_template_types", + "gold_answer": [ + [ + "PPT", + "Presentation" + ], + [ + "CV", + "CV" + ], + [ + "AD", + "Advertisement" + ], + [ + "PP", + "Paper" + ], + [ + "BK", + "Book" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_068" + }, + { + "question_text": "What are the type codes and descriptions for all template types?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code , template_type_description FROM Ref_template_types", + "gold_answer": [ + [ + "PPT", + "Presentation" + ], + [ + "CV", + "CV" + ], + [ + "AD", + "Advertisement" + ], + [ + "PP", + "Paper" + ], + [ + "BK", + "Book" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_069" + }, + { + "question_text": "Return the type code of the template type with the description \"Book\".", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Ref_template_types WHERE template_type_description = \"Book\"", + "gold_answer": "BK", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_070" + }, + { + "question_text": "What is the template type code for template type description \"Book\".", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Ref_template_types WHERE template_type_description = \"Book\"", + "gold_answer": "BK", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_071" + }, + { + "question_text": "Show all template type codes that are not used by any document.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Templates EXCEPT SELECT template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id", + "gold_answer": "CV", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_072" + }, + { + "question_text": "What are the codes of template types that are not used for any document?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Templates EXCEPT SELECT template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id", + "gold_answer": "CV", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Documents", + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_073" + }, + { + "question_text": "Show all template type codes with less than three templates.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Templates GROUP BY template_type_code HAVING count(*) < 3", + "gold_answer": "CV", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_074" + }, + { + "question_text": "What are the codes of template types that have fewer than 3 templates?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Templates GROUP BY template_type_code HAVING count(*) < 3", + "gold_answer": "CV", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_075" + }, + { + "question_text": "Return the type code of the template type that the most templates belong to.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Templates GROUP BY template_type_code ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "PP", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_076" + }, + { + "question_text": "Which template type code has most number of templates?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_code FROM Templates GROUP BY template_type_code ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "PP", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_077" + }, + { + "question_text": "Return the template type description of the template type with the code AD.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_description FROM Ref_template_types WHERE template_type_code = \"AD\"", + "gold_answer": "Advertisement", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_078" + }, + { + "question_text": "What is the template type descriptions for template type code \"AD\".", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT template_type_description FROM Ref_template_types WHERE template_type_code = \"AD\"", + "gold_answer": "Advertisement", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Ref_template_types" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_079" + }, + { + "question_text": "Return the version numbers and template type codes of templates with a version number greater than 5.", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT version_number , template_type_code FROM Templates WHERE version_number > 5", + "gold_answer": [ + [ + 9, + "PP" + ], + [ + 8, + "PPT" + ], + [ + 6, + "BK" + ], + [ + 7, + "AD" + ], + [ + 9, + "CV" + ], + [ + 7, + "AD" + ], + [ + 6, + "BK" + ], + [ + 9, + "AD" + ], + [ + 8, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_080" + }, + { + "question_text": "What is the version number and template type code for the template with version number later than 5?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "SELECT version_number , template_type_code FROM Templates WHERE version_number > 5", + "gold_answer": [ + [ + 9, + "PP" + ], + [ + 8, + "PPT" + ], + [ + 6, + "BK" + ], + [ + 7, + "AD" + ], + [ + 9, + "CV" + ], + [ + 7, + "AD" + ], + [ + 6, + "BK" + ], + [ + 9, + "AD" + ], + [ + 8, + "PP" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Templates" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_081" + }, + { + "question_text": "Show paragraph details for paragraph with text 'Korea ' .", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "select other_details from paragraphs where paragraph_text like 'korea'", + "gold_answer": [ + null, + null + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_082" + }, + { + "question_text": "What are the details for the paragraph that includes the text 'Korea ' ?", + "database_name": "cre_Doc_Template_Mgt", + "gold_sql": "select other_details from paragraphs where paragraph_text like 'korea'", + "gold_answer": [ + null, + null + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "paragraphs" + ], + "split": "train", + "question_id": "cre_Doc_Template_Mgt_train_083" + }, + { + "question_text": "Find the arriving date and the departing date of the dogs that received a treatment.", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT T1.date_arrived , T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id", + "gold_answer": [ + [ + "2017-06-18 19:45:38", + "2018-03-24 23:48:59" + ], + [ + "2017-04-20 00:58:55", + "2018-03-24 19:12:22" + ], + [ + "2017-12-22 05:02:02", + "2018-03-25 02:11:32" + ], + [ + "2017-10-24 04:45:13", + "2018-03-25 14:15:41" + ], + [ + "2017-12-29 06:08:26", + "2018-03-25 04:42:14" + ], + [ + "2017-12-29 23:24:13", + "2018-03-24 19:36:59" + ], + [ + "2018-01-02 03:15:29", + "2018-03-25 05:07:47" + ], + [ + "2017-05-06 08:03:52", + "2018-03-25 06:29:10" + ], + [ + "2017-09-08 20:10:13", + "2018-03-25 06:58:44" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_000" + }, + { + "question_text": "What are the arriving date and the departing date of the dogs who have gone through a treatment?", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT T1.date_arrived , T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id", + "gold_answer": [ + [ + "2017-06-18 19:45:38", + "2018-03-24 23:48:59" + ], + [ + "2017-04-20 00:58:55", + "2018-03-24 19:12:22" + ], + [ + "2017-12-22 05:02:02", + "2018-03-25 02:11:32" + ], + [ + "2017-10-24 04:45:13", + "2018-03-25 14:15:41" + ], + [ + "2017-12-29 06:08:26", + "2018-03-25 04:42:14" + ], + [ + "2017-12-29 23:24:13", + "2018-03-24 19:36:59" + ], + [ + "2018-01-02 03:15:29", + "2018-03-25 05:07:47" + ], + [ + "2017-05-06 08:03:52", + "2018-03-25 06:29:10" + ], + [ + "2017-09-08 20:10:13", + "2018-03-25 06:58:44" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_001" + }, + { + "question_text": "What are the first name and last name of the professionals who have done treatment with cost below average?", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments )", + "gold_answer": [ + [ + "Taryn", + "Braun" + ], + [ + "Jayson", + "Ullrich" + ], + [ + "Olaf", + "Watsica" + ], + [ + "Vernice", + "Tillman" + ], + [ + "Danny", + "Considine" + ], + [ + "Ruben", + "O'Reilly" + ], + [ + "Velva", + "Hayes" + ], + [ + "Karley", + "Hyatt" + ], + [ + "Monte", + "Kshlerin" + ], + [ + "Domenica", + "Jacobs" + ], + [ + "Brady", + "Pouros" + ], + [ + "Winfield", + "Christiansen" + ], + [ + "Ericka", + "Murazik" + ], + [ + "Sigurd", + "Frami" + ], + [ + "Lesly", + "Walter" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_002" + }, + { + "question_text": "Which professionals have operated a treatment that costs less than the average? Give me theor first names and last names.", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments )", + "gold_answer": [ + [ + "Taryn", + "Braun" + ], + [ + "Jayson", + "Ullrich" + ], + [ + "Olaf", + "Watsica" + ], + [ + "Vernice", + "Tillman" + ], + [ + "Danny", + "Considine" + ], + [ + "Ruben", + "O'Reilly" + ], + [ + "Velva", + "Hayes" + ], + [ + "Karley", + "Hyatt" + ], + [ + "Monte", + "Kshlerin" + ], + [ + "Domenica", + "Jacobs" + ], + [ + "Brady", + "Pouros" + ], + [ + "Winfield", + "Christiansen" + ], + [ + "Ericka", + "Murazik" + ], + [ + "Sigurd", + "Frami" + ], + [ + "Lesly", + "Walter" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_003" + }, + { + "question_text": "List the first name of all the professionals along with the description of the treatment they have done.", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT T1.first_name , T3.treatment_type_description FROM professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id JOIN Treatment_types AS T3 ON T2.treatment_type_code = T3.treatment_type_code", + "gold_answer": [ + [ + "Monte", + "Take for a Walk" + ], + [ + "Domenica", + "Vaccination" + ], + [ + "Vernice", + "Physical examination" + ], + [ + "Karley", + "Vaccination" + ], + [ + "Sigurd", + "Vaccination" + ], + [ + "Sigurd", + "Physical examination" + ], + [ + "Ruben", + "Physical examination" + ], + [ + "Domenica", + "Take for a Walk" + ], + [ + "Velva", + "Take for a Walk" + ], + [ + "Danny", + "Vaccination" + ], + [ + "Monte", + "Physical examination" + ], + [ + "Ruben", + "Take for a Walk" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "Treatment_types", + "Treatments", + "professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_004" + }, + { + "question_text": "What are each professional's first name and description of the treatment they have performed?", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT T1.first_name , T3.treatment_type_description FROM professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id JOIN Treatment_types AS T3 ON T2.treatment_type_code = T3.treatment_type_code", + "gold_answer": [ + [ + "Monte", + "Take for a Walk" + ], + [ + "Domenica", + "Vaccination" + ], + [ + "Vernice", + "Physical examination" + ], + [ + "Karley", + "Vaccination" + ], + [ + "Sigurd", + "Vaccination" + ], + [ + "Sigurd", + "Physical examination" + ], + [ + "Ruben", + "Physical examination" + ], + [ + "Domenica", + "Take for a Walk" + ], + [ + "Velva", + "Take for a Walk" + ], + [ + "Danny", + "Vaccination" + ], + [ + "Monte", + "Physical examination" + ], + [ + "Ruben", + "Take for a Walk" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "Treatment_types", + "Treatments", + "professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_005" + }, + { + "question_text": "Find the distinct breed type and size type combinations for dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT breed_code , size_code FROM dogs", + "gold_answer": [ + [ + "ESK", + "LGE" + ], + [ + "BUL", + "LGE" + ], + [ + "BUL", + "MED" + ], + [ + "HUS", + "MED" + ], + [ + "ESK", + "SML" + ], + [ + "HUS", + "SML" + ], + [ + "ESK", + "MED" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_006" + }, + { + "question_text": "What are all the possible breed type and size type combinations?", + "database_name": "dog_kennels", + "gold_sql": "SELECT DISTINCT breed_code , size_code FROM dogs", + "gold_answer": [ + [ + "ESK", + "LGE" + ], + [ + "BUL", + "LGE" + ], + [ + "BUL", + "MED" + ], + [ + "HUS", + "MED" + ], + [ + "ESK", + "SML" + ], + [ + "HUS", + "SML" + ], + [ + "ESK", + "MED" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_007" + }, + { + "question_text": "What is the name of the breed with the most dogs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code = T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "Bulldog", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Breeds", + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_008" + }, + { + "question_text": "Which breed do the most dogs have? Give me the breed name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code = T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "Bulldog", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Breeds", + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_009" + }, + { + "question_text": "List the cost of each treatment and the corresponding treatment type description.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.cost_of_treatment , T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code = T2.treatment_type_code", + "gold_answer": [ + [ + 567, + "Take for a Walk" + ], + [ + 147, + "Vaccination" + ], + [ + 429, + "Physical examination" + ], + [ + 266, + "Vaccination" + ], + [ + 668, + "Vaccination" + ], + [ + 313, + "Physical examination" + ], + [ + 852, + "Physical examination" + ], + [ + 407, + "Physical examination" + ], + [ + 139, + "Take for a Walk" + ], + [ + 681, + "Take for a Walk" + ], + [ + 514, + "Vaccination" + ], + [ + 428, + "Physical examination" + ], + [ + 945, + "Vaccination" + ], + [ + 349, + "Take for a Walk" + ], + [ + 656, + "Take for a Walk" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Treatments", + "treatment_types" + ], + "split": "train", + "question_id": "dog_kennels_train_010" + }, + { + "question_text": "What are the cost and treatment type description of each treatment?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.cost_of_treatment , T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code = T2.treatment_type_code", + "gold_answer": [ + [ + 567, + "Take for a Walk" + ], + [ + 147, + "Vaccination" + ], + [ + 429, + "Physical examination" + ], + [ + 266, + "Vaccination" + ], + [ + 668, + "Vaccination" + ], + [ + 313, + "Physical examination" + ], + [ + 852, + "Physical examination" + ], + [ + 407, + "Physical examination" + ], + [ + 139, + "Take for a Walk" + ], + [ + 681, + "Take for a Walk" + ], + [ + 514, + "Vaccination" + ], + [ + 428, + "Physical examination" + ], + [ + 945, + "Vaccination" + ], + [ + 349, + "Take for a Walk" + ], + [ + 656, + "Take for a Walk" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Treatments", + "treatment_types" + ], + "split": "train", + "question_id": "dog_kennels_train_011" + }, + { + "question_text": "List the date of each treatment, together with the first name of the professional who operated it.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.date_of_treatment , T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id = T2.professional_id", + "gold_answer": [ + [ + "2018-03-19 04:39:54", + "Monte" + ], + [ + "2018-03-15 20:25:34", + "Domenica" + ], + [ + "2018-03-08 05:26:23", + "Vernice" + ], + [ + "2018-03-01 04:14:46", + "Karley" + ], + [ + "2018-03-23 13:52:10", + "Sigurd" + ], + [ + "2018-03-11 04:23:15", + "Vernice" + ], + [ + "2018-03-10 11:45:58", + "Sigurd" + ], + [ + "2018-03-24 22:25:58", + "Ruben" + ], + [ + "2018-03-14 19:10:40", + "Domenica" + ], + [ + "2018-02-28 17:09:43", + "Velva" + ], + [ + "2018-03-13 12:22:58", + "Danny" + ], + [ + "2018-03-16 10:27:36", + "Monte" + ], + [ + "2018-02-26 09:08:53", + "Karley" + ], + [ + "2018-03-04 20:33:43", + "Monte" + ], + [ + "2018-03-15 19:10:02", + "Ruben" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_012" + }, + { + "question_text": "What are the date and the operating professional's first name of each treatment?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.date_of_treatment , T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id = T2.professional_id", + "gold_answer": [ + [ + "2018-03-19 04:39:54", + "Monte" + ], + [ + "2018-03-15 20:25:34", + "Domenica" + ], + [ + "2018-03-08 05:26:23", + "Vernice" + ], + [ + "2018-03-01 04:14:46", + "Karley" + ], + [ + "2018-03-23 13:52:10", + "Sigurd" + ], + [ + "2018-03-11 04:23:15", + "Vernice" + ], + [ + "2018-03-10 11:45:58", + "Sigurd" + ], + [ + "2018-03-24 22:25:58", + "Ruben" + ], + [ + "2018-03-14 19:10:40", + "Domenica" + ], + [ + "2018-02-28 17:09:43", + "Velva" + ], + [ + "2018-03-13 12:22:58", + "Danny" + ], + [ + "2018-03-16 10:27:36", + "Monte" + ], + [ + "2018-02-26 09:08:53", + "Karley" + ], + [ + "2018-03-04 20:33:43", + "Monte" + ], + [ + "2018-03-15 19:10:02", + "Ruben" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_013" + }, + { + "question_text": "List each owner's first name, last name, and the size of his for her dog.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.first_name , T1.last_name , T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id", + "gold_answer": [ + [ + "Jaclyn", + "Stoltenberg", + "LGE" + ], + [ + "Gay", + "Feil", + "LGE" + ], + [ + "Nora", + "Haley", + "MED" + ], + [ + "Rachelle", + "Funk", + "LGE" + ], + [ + "Emelie", + "Mertz", + "MED" + ], + [ + "Johann", + "Fisher", + "MED" + ], + [ + "Jaclyn", + "Stoltenberg", + "MED" + ], + [ + "Rachelle", + "Funk", + "SML" + ], + [ + "Melisa", + "DuBuque", + "MED" + ], + [ + "Kade", + "Rippin", + "MED" + ], + [ + "Cindy", + "Schmitt", + "LGE" + ], + [ + "Orlando", + "Price", + "MED" + ], + [ + "Rolando", + "Prohaska", + "SML" + ], + [ + "Rachelle", + "Funk", + "MED" + ], + [ + "Lorenz", + "Nicolas", + "MED" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_014" + }, + { + "question_text": "What are each owner's first name, last name, and the size of their dog?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.first_name , T1.last_name , T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id", + "gold_answer": [ + [ + "Jaclyn", + "Stoltenberg", + "LGE" + ], + [ + "Gay", + "Feil", + "LGE" + ], + [ + "Nora", + "Haley", + "MED" + ], + [ + "Rachelle", + "Funk", + "LGE" + ], + [ + "Emelie", + "Mertz", + "MED" + ], + [ + "Johann", + "Fisher", + "MED" + ], + [ + "Jaclyn", + "Stoltenberg", + "MED" + ], + [ + "Rachelle", + "Funk", + "SML" + ], + [ + "Melisa", + "DuBuque", + "MED" + ], + [ + "Kade", + "Rippin", + "MED" + ], + [ + "Cindy", + "Schmitt", + "LGE" + ], + [ + "Orlando", + "Price", + "MED" + ], + [ + "Rolando", + "Prohaska", + "SML" + ], + [ + "Rachelle", + "Funk", + "MED" + ], + [ + "Lorenz", + "Nicolas", + "MED" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_015" + }, + { + "question_text": "List pairs of the owner's first name and the dogs's name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id", + "gold_answer": [ + [ + "Jaclyn", + "Kacey" + ], + [ + "Gay", + "Hipolito" + ], + [ + "Nora", + "Mavis" + ], + [ + "Rachelle", + "Houston" + ], + [ + "Emelie", + "Jeffrey" + ], + [ + "Johann", + "Merritt" + ], + [ + "Jaclyn", + "Narciso" + ], + [ + "Rachelle", + "George" + ], + [ + "Melisa", + "Bessie" + ], + [ + "Kade", + "Troy" + ], + [ + "Cindy", + "Betty" + ], + [ + "Orlando", + "Holden" + ], + [ + "Rolando", + "Jesus" + ], + [ + "Rachelle", + "Lyric" + ], + [ + "Lorenz", + "Evangeline" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_016" + }, + { + "question_text": "What are each owner's first name and their dogs's name?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id", + "gold_answer": [ + [ + "Jaclyn", + "Kacey" + ], + [ + "Gay", + "Hipolito" + ], + [ + "Nora", + "Mavis" + ], + [ + "Rachelle", + "Houston" + ], + [ + "Emelie", + "Jeffrey" + ], + [ + "Johann", + "Merritt" + ], + [ + "Jaclyn", + "Narciso" + ], + [ + "Rachelle", + "George" + ], + [ + "Melisa", + "Bessie" + ], + [ + "Kade", + "Troy" + ], + [ + "Cindy", + "Betty" + ], + [ + "Orlando", + "Holden" + ], + [ + "Rolando", + "Jesus" + ], + [ + "Rachelle", + "Lyric" + ], + [ + "Lorenz", + "Evangeline" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_017" + }, + { + "question_text": "Find the first names of owners living in Virginia and the names of dogs they own.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia'", + "gold_answer": [ + [ + "Melisa", + "Bessie" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_018" + }, + { + "question_text": "Which dogs are owned by someone who lives in Virginia? List the owner's first name and the dog's name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia'", + "gold_answer": [ + [ + "Melisa", + "Bessie" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_019" + }, + { + "question_text": "List the last name of the owner owning the youngest dog.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs )", + "gold_answer": [ + "Feil", + "Fisher", + "Rippin" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_020" + }, + { + "question_text": "Who owns the youngest dog? Give me his or her last name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs )", + "gold_answer": [ + "Feil", + "Fisher", + "Rippin" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_021" + }, + { + "question_text": "List the names of the dogs of the rarest breed and the treatment dates of them.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.name , T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id WHERE T1.breed_code = ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )", + "gold_answer": [ + [ + "Lyric", + "2018-03-19 04:39:54" + ], + [ + "Houston", + "2018-03-15 20:25:34" + ], + [ + "Lyric", + "2018-03-08 05:26:23" + ], + [ + "Lyric", + "2018-03-14 19:10:40" + ], + [ + "Kacey", + "2018-03-15 19:10:02" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_022" + }, + { + "question_text": "Which dogs are of the rarest breed? Show their names and treatment dates.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.name , T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id WHERE T1.breed_code = ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )", + "gold_answer": [ + [ + "Lyric", + "2018-03-19 04:39:54" + ], + [ + "Houston", + "2018-03-15 20:25:34" + ], + [ + "Lyric", + "2018-03-08 05:26:23" + ], + [ + "Lyric", + "2018-03-14 19:10:40" + ], + [ + "Kacey", + "2018-03-15 19:10:02" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_023" + }, + { + "question_text": "Tell me the owner id and last name of the owner who spent the most on treatments of his or her dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.owner_id , T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 14, + "Funk" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "Dogs", + "Owners", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_024" + }, + { + "question_text": "Which owner has paid for the most treatments on his or her dogs? List the owner id and last name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.owner_id , T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 14, + "Funk" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "Dogs", + "Owners", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_025" + }, + { + "question_text": "Find the owner id and zip code of the owner who spent the most money in total for his or her dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1", + "gold_answer": [ + [ + 3, + "02647" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "Dogs", + "Owners", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_026" + }, + { + "question_text": "Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1", + "gold_answer": [ + [ + 3, + "02647" + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "Dogs", + "Owners", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_027" + }, + { + "question_text": "Return the owner id, first name and last name of the owner who has the most dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 14, + "Rachelle", + "Funk" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_028" + }, + { + "question_text": "Which owner owns the most dogs? List the owner id, first name and last name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [ + [ + 14, + "Rachelle", + "Funk" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_029" + }, + { + "question_text": "Find the id and cell phone of the professionals who operate two or more types of treatments.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.professional_id , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2", + "gold_answer": [ + [ + 4, + "00230569697" + ], + [ + 6, + "139-321-7313" + ], + [ + 8, + "328.842.3792" + ], + [ + 9, + "962-983-8109x3509" + ], + [ + 10, + "461-801-2600" + ], + [ + 14, + "1-185-137-1945x409" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_030" + }, + { + "question_text": "Which professionals have done at least two types of treatments? List the professional id and cell phone.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.professional_id , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2", + "gold_answer": [ + [ + 4, + "00230569697" + ], + [ + 6, + "139-321-7313" + ], + [ + 8, + "328.842.3792" + ], + [ + 9, + "962-983-8109x3509" + ], + [ + 10, + "461-801-2600" + ], + [ + 14, + "1-185-137-1945x409" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_031" + }, + { + "question_text": "What are the id, role, and first name of the professionals who have performed two or more treatments?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2", + "gold_answer": [ + [ + 4, + "Veterenarian", + "Vernice" + ], + [ + 6, + "Veterenarian", + "Ruben" + ], + [ + 8, + "Employee", + "Karley" + ], + [ + 9, + "Veterenarian", + "Monte" + ], + [ + 10, + "Employee", + "Domenica" + ], + [ + 14, + "Employee", + "Sigurd" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_032" + }, + { + "question_text": "Which professionals have done at least two treatments? List the professional's id, role, and first name.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2", + "gold_answer": [ + [ + 4, + "Veterenarian", + "Vernice" + ], + [ + 6, + "Veterenarian", + "Ruben" + ], + [ + 8, + "Employee", + "Karley" + ], + [ + 9, + "Veterenarian", + "Monte" + ], + [ + 10, + "Employee", + "Domenica" + ], + [ + 14, + "Employee", + "Sigurd" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_033" + }, + { + "question_text": "Give me the description of the treatment type whose total cost is the lowest.", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1", + "gold_answer": "Take for a Walk", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Treatment_types", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_034" + }, + { + "question_text": "What is the description of the treatment type that costs the least money in total?", + "database_name": "dog_kennels", + "gold_sql": "SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1", + "gold_answer": "Take for a Walk", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Treatment_types", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_035" + }, + { + "question_text": "Compute the average age of all the dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT avg(age) FROM Dogs", + "gold_answer": 5.066666666666666, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_036" + }, + { + "question_text": "What is the average age of all the dogs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT avg(age) FROM Dogs", + "gold_answer": 5.066666666666666, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_037" + }, + { + "question_text": "Find the average age of the dogs who went through treatments.", + "database_name": "dog_kennels", + "gold_sql": "SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )", + "gold_answer": 5.111111111111111, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_038" + }, + { + "question_text": "What is the average age of the dogs who have gone through any treatments?", + "database_name": "dog_kennels", + "gold_sql": "SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )", + "gold_answer": 5.111111111111111, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_039" + }, + { + "question_text": "How much does each charge type costs? List both charge type and amount.", + "database_name": "dog_kennels", + "gold_sql": "SELECT charge_type , charge_amount FROM Charges", + "gold_answer": [ + [ + "Daily Accommodation", + 98 + ], + [ + "Drugs", + 322 + ], + [ + "Health Check", + 640 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Charges" + ], + "split": "train", + "question_id": "dog_kennels_train_040" + }, + { + "question_text": "List each charge type and its amount.", + "database_name": "dog_kennels", + "gold_sql": "SELECT charge_type , charge_amount FROM Charges", + "gold_answer": [ + [ + "Daily Accommodation", + 98 + ], + [ + "Drugs", + 322 + ], + [ + "Health Check", + 640 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Charges" + ], + "split": "train", + "question_id": "dog_kennels_train_041" + }, + { + "question_text": "How much does the most recent treatment cost?", + "database_name": "dog_kennels", + "gold_sql": "SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1", + "gold_answer": 407, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_042" + }, + { + "question_text": "Show me the cost of the most recently performed treatment.", + "database_name": "dog_kennels", + "gold_sql": "SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1", + "gold_answer": 407, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_043" + }, + { + "question_text": "Count the number of dogs of an age below the average.", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs )", + "gold_answer": 9, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_044" + }, + { + "question_text": "How many dogs have an age below the average?", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs )", + "gold_answer": 9, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_045" + }, + { + "question_text": "How many dogs have not gone through any treatment?", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Dogs WHERE dog_id NOT IN ( SELECT dog_id FROM Treatments )", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_046" + }, + { + "question_text": "Find the number of owners who do not own any dogs at this moment.", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Owners WHERE owner_id NOT IN ( SELECT owner_id FROM Dogs )", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_047" + }, + { + "question_text": "How many owners temporarily do not have any dogs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Owners WHERE owner_id NOT IN ( SELECT owner_id FROM Dogs )", + "gold_answer": 3, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Dogs", + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_048" + }, + { + "question_text": "Find the number of professionals who have not treated any dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Professionals WHERE professional_id NOT IN ( SELECT professional_id FROM Treatments )", + "gold_answer": 7, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_049" + }, + { + "question_text": "How many professionals did not operate any treatment on dogs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(*) FROM Professionals WHERE professional_id NOT IN ( SELECT professional_id FROM Treatments )", + "gold_answer": 7, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_050" + }, + { + "question_text": "Count the number of dogs that went through a treatment.", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(DISTINCT dog_id) FROM Treatments", + "gold_answer": 9, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_051" + }, + { + "question_text": "How many dogs went through any treatments?", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(DISTINCT dog_id) FROM Treatments", + "gold_answer": 9, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_052" + }, + { + "question_text": "Find the number of professionals who have ever treated dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(DISTINCT professional_id) FROM Treatments", + "gold_answer": 8, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_053" + }, + { + "question_text": "How many professionals have performed any treatment to dogs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT count(DISTINCT professional_id) FROM Treatments", + "gold_answer": 8, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_054" + }, + { + "question_text": "List the arrival date and the departure date for all the dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT date_arrived , date_departed FROM Dogs", + "gold_answer": [ + [ + "2017-09-08 20:10:13", + "2018-03-25 06:58:44" + ], + [ + "2017-12-22 05:02:02", + "2018-03-25 02:11:32" + ], + [ + "2017-06-25 10:14:05", + "2018-03-25 10:25:46" + ], + [ + "2017-04-20 00:58:55", + "2018-03-24 19:12:22" + ], + [ + "2017-10-25 00:55:34", + "2018-03-25 04:50:22" + ], + [ + "2017-04-15 09:25:31", + "2018-03-25 13:07:04" + ], + [ + "2017-05-06 08:03:52", + "2018-03-25 06:29:10" + ], + [ + "2017-10-16 20:06:21", + "2018-03-25 02:47:40" + ], + [ + "2018-01-17 11:44:16", + "2018-03-25 06:46:07" + ], + [ + "2017-12-29 06:08:26", + "2018-03-25 04:42:14" + ], + [ + "2017-07-25 15:19:07", + "2018-03-25 15:05:16" + ], + [ + "2017-10-24 04:45:13", + "2018-03-25 14:15:41" + ], + [ + "2018-01-02 03:15:29", + "2018-03-25 05:07:47" + ], + [ + "2017-06-18 19:45:38", + "2018-03-24 23:48:59" + ], + [ + "2017-12-29 23:24:13", + "2018-03-24 19:36:59" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_055" + }, + { + "question_text": "What are the arriving date and the departing date of all the dogs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT date_arrived , date_departed FROM Dogs", + "gold_answer": [ + [ + "2017-09-08 20:10:13", + "2018-03-25 06:58:44" + ], + [ + "2017-12-22 05:02:02", + "2018-03-25 02:11:32" + ], + [ + "2017-06-25 10:14:05", + "2018-03-25 10:25:46" + ], + [ + "2017-04-20 00:58:55", + "2018-03-24 19:12:22" + ], + [ + "2017-10-25 00:55:34", + "2018-03-25 04:50:22" + ], + [ + "2017-04-15 09:25:31", + "2018-03-25 13:07:04" + ], + [ + "2017-05-06 08:03:52", + "2018-03-25 06:29:10" + ], + [ + "2017-10-16 20:06:21", + "2018-03-25 02:47:40" + ], + [ + "2018-01-17 11:44:16", + "2018-03-25 06:46:07" + ], + [ + "2017-12-29 06:08:26", + "2018-03-25 04:42:14" + ], + [ + "2017-07-25 15:19:07", + "2018-03-25 15:05:16" + ], + [ + "2017-10-24 04:45:13", + "2018-03-25 14:15:41" + ], + [ + "2018-01-02 03:15:29", + "2018-03-25 05:07:47" + ], + [ + "2017-06-18 19:45:38", + "2018-03-24 23:48:59" + ], + [ + "2017-12-29 23:24:13", + "2018-03-24 19:36:59" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_056" + }, + { + "question_text": "List the email, cell phone and home phone of all the professionals.", + "database_name": "dog_kennels", + "gold_sql": "SELECT email_address , cell_number , home_phone FROM professionals", + "gold_answer": [ + [ + "deanna.schuster@example.com", + "(275)939-2435x80863", + "+71(6)2898266914" + ], + [ + "lucile.shanahan@example.org", + "889-940-2676", + "+02(1)0259033559" + ], + [ + "uboehm@example.org", + "(369)908-7311x065", + "325-155-0801x7005" + ], + [ + "lourdes.lowe@example.net", + "00230569697", + "312.216.3352" + ], + [ + "mekhi.little@example.org", + "011.193.9081x3186", + "1-609-566-2752x25197" + ], + [ + "jacynthe.mclaughlin@example.net", + "139-321-7313", + "+43(5)1132733868" + ], + [ + "lambert62@example.org", + "499-434-0215x1628", + "022.529.0550x1319" + ], + [ + "goyette.roosevelt@example.net", + "328.842.3792", + "891.475.2256" + ], + [ + "schneider.kathryne@example.org", + "962-983-8109x3509", + "320-508-6023" + ], + [ + "jerrod.bahringer@example.org", + "461-801-2600", + "(230)338-3342x585" + ], + [ + "west.eula@example.net", + "609-405-2990", + "(920)304-4499x59146" + ], + [ + "marquardt.furman@example.org", + "1-181-670-9466", + "246-951-0080x76716" + ], + [ + "delphine29@example.com", + "880-659-7577x736", + "346.594.3739" + ], + [ + "cole.margarita@example.org", + "1-185-137-1945x409", + "971.048.3763x9404" + ], + [ + "jeichmann@example.com", + "1-258-285-4707x8020", + "1-138-287-3775" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_057" + }, + { + "question_text": "What are the email, cell phone and home phone of each professional?", + "database_name": "dog_kennels", + "gold_sql": "SELECT email_address , cell_number , home_phone FROM professionals", + "gold_answer": [ + [ + "deanna.schuster@example.com", + "(275)939-2435x80863", + "+71(6)2898266914" + ], + [ + "lucile.shanahan@example.org", + "889-940-2676", + "+02(1)0259033559" + ], + [ + "uboehm@example.org", + "(369)908-7311x065", + "325-155-0801x7005" + ], + [ + "lourdes.lowe@example.net", + "00230569697", + "312.216.3352" + ], + [ + "mekhi.little@example.org", + "011.193.9081x3186", + "1-609-566-2752x25197" + ], + [ + "jacynthe.mclaughlin@example.net", + "139-321-7313", + "+43(5)1132733868" + ], + [ + "lambert62@example.org", + "499-434-0215x1628", + "022.529.0550x1319" + ], + [ + "goyette.roosevelt@example.net", + "328.842.3792", + "891.475.2256" + ], + [ + "schneider.kathryne@example.org", + "962-983-8109x3509", + "320-508-6023" + ], + [ + "jerrod.bahringer@example.org", + "461-801-2600", + "(230)338-3342x585" + ], + [ + "west.eula@example.net", + "609-405-2990", + "(920)304-4499x59146" + ], + [ + "marquardt.furman@example.org", + "1-181-670-9466", + "246-951-0080x76716" + ], + [ + "delphine29@example.com", + "880-659-7577x736", + "346.594.3739" + ], + [ + "cole.margarita@example.org", + "1-185-137-1945x409", + "971.048.3763x9404" + ], + [ + "jeichmann@example.com", + "1-258-285-4707x8020", + "1-138-287-3775" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_058" + }, + { + "question_text": "List the emails of the professionals who live in the state of Hawaii or the state of Wisconsin.", + "database_name": "dog_kennels", + "gold_sql": "SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin'", + "gold_answer": [ + "uboehm@example.org", + "mekhi.little@example.org" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_059" + }, + { + "question_text": "What are the emails of the professionals living in either the state of Hawaii or the state of Wisconsin?", + "database_name": "dog_kennels", + "gold_sql": "SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin'", + "gold_answer": [ + "uboehm@example.org", + "mekhi.little@example.org" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_060" + }, + { + "question_text": "Return the first name, last name and email of the owners living in a state whose name contains the substring 'North'.", + "database_name": "dog_kennels", + "gold_sql": "SELECT first_name , last_name , email_address FROM Owners WHERE state LIKE '%North%'", + "gold_answer": [ + [ + "Johann", + "Fisher", + "zboncak.madonna@example.net" + ], + [ + "Cindy", + "Schmitt", + "wpfeffer@example.net" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_061" + }, + { + "question_text": "Which owners live in the state whose name contains the substring 'North'? List his first name, last name and email.", + "database_name": "dog_kennels", + "gold_sql": "SELECT first_name , last_name , email_address FROM Owners WHERE state LIKE '%North%'", + "gold_answer": [ + [ + "Johann", + "Fisher", + "zboncak.madonna@example.net" + ], + [ + "Cindy", + "Schmitt", + "wpfeffer@example.net" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Owners" + ], + "split": "train", + "question_id": "dog_kennels_train_062" + }, + { + "question_text": "Find the first names that are used for professionals or owners but are not used as dog names.", + "database_name": "dog_kennels", + "gold_sql": "SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs", + "gold_answer": [ + "Adelle", + "Brady", + "Cindy", + "Danny", + "Domenica", + "Emelie", + "Ericka", + "Gay", + "Heather", + "Jaclyn", + "Jayson", + "Johann", + "Kade", + "Karley", + "Lesly", + "Lorenz", + "Melisa", + "Monte", + "Nora", + "Olaf", + "Orlando", + "Rachelle", + "Rolando", + "Ruben", + "Sigurd", + "Taryn", + "Tre", + "Velva", + "Vernice", + "Winfield" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "Dogs", + "Owners", + "Professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_063" + }, + { + "question_text": "Which first names are used for professionals or owners but are not used as dog names?", + "database_name": "dog_kennels", + "gold_sql": "SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs", + "gold_answer": [ + "Adelle", + "Brady", + "Cindy", + "Danny", + "Domenica", + "Emelie", + "Ericka", + "Gay", + "Heather", + "Jaclyn", + "Jayson", + "Johann", + "Kade", + "Karley", + "Lesly", + "Lorenz", + "Melisa", + "Monte", + "Nora", + "Olaf", + "Orlando", + "Rachelle", + "Rolando", + "Ruben", + "Sigurd", + "Taryn", + "Tre", + "Velva", + "Vernice", + "Winfield" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "Dogs", + "Owners", + "Professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_064" + }, + { + "question_text": "Tell me the age of the oldest dog.", + "database_name": "dog_kennels", + "gold_sql": "SELECT max(age) FROM Dogs", + "gold_answer": "9", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_065" + }, + { + "question_text": "What is the age of the oldest dog?", + "database_name": "dog_kennels", + "gold_sql": "SELECT max(age) FROM Dogs", + "gold_answer": "9", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_066" + }, + { + "question_text": "How much does the most expensive charge type costs?", + "database_name": "dog_kennels", + "gold_sql": "SELECT max(charge_amount) FROM Charges", + "gold_answer": 640, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Charges" + ], + "split": "train", + "question_id": "dog_kennels_train_067" + }, + { + "question_text": "What is the charge amount of the most expensive charge type?", + "database_name": "dog_kennels", + "gold_sql": "SELECT max(charge_amount) FROM Charges", + "gold_answer": 640, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Charges" + ], + "split": "train", + "question_id": "dog_kennels_train_068" + }, + { + "question_text": "List the dog name, age and weight of the dogs who have been abandoned? 1 stands for yes, and 0 stands for no.", + "database_name": "dog_kennels", + "gold_sql": "SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1", + "gold_answer": [ + [ + "Kacey", + "6", + "7.57" + ], + [ + "Lyric", + "4", + "4.36" + ], + [ + "Evangeline", + "1", + "4.01" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_069" + }, + { + "question_text": "What are the dog name, age and weight of the dogs that were abandoned? Note that 1 stands for yes, and 0 stands for no in the tables.", + "database_name": "dog_kennels", + "gold_sql": "SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1", + "gold_answer": [ + [ + "Kacey", + "6", + "7.57" + ], + [ + "Lyric", + "4", + "4.36" + ], + [ + "Evangeline", + "1", + "4.01" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Dogs" + ], + "split": "train", + "question_id": "dog_kennels_train_070" + }, + { + "question_text": "Find the id, last name and cell phone of the professionals who live in the state of Indiana or have performed more than two treatments.", + "database_name": "dog_kennels", + "gold_sql": "SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2", + "gold_answer": [ + [ + 1, + "Braun", + "(275)939-2435x80863" + ], + [ + 8, + "Hyatt", + "328.842.3792" + ], + [ + 9, + "Kshlerin", + "962-983-8109x3509" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_071" + }, + { + "question_text": "Which professionals live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name and cell phone.", + "database_name": "dog_kennels", + "gold_sql": "SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2", + "gold_answer": [ + [ + 1, + "Braun", + "(275)939-2435x80863" + ], + [ + 8, + "Hyatt", + "328.842.3792" + ], + [ + 9, + "Kshlerin", + "962-983-8109x3509" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_072" + }, + { + "question_text": "Give me the id, role and email of the professionals who did not perform any treatment on dogs.", + "database_name": "dog_kennels", + "gold_sql": "SELECT professional_id , role_code , email_address FROM Professionals EXCEPT SELECT T1.professional_id , T1.role_code , T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id", + "gold_answer": [ + [ + 1, + "Employee", + "deanna.schuster@example.com" + ], + [ + 2, + "Employee", + "lucile.shanahan@example.org" + ], + [ + 3, + "Employee", + "uboehm@example.org" + ], + [ + 11, + "Employee", + "west.eula@example.net" + ], + [ + 12, + "Veterenarian", + "marquardt.furman@example.org" + ], + [ + 13, + "Veterenarian", + "delphine29@example.com" + ], + [ + 15, + "Employee", + "jeichmann@example.com" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_073" + }, + { + "question_text": "Which professional did not operate any treatment on dogs? List the professional's id, role and email.", + "database_name": "dog_kennels", + "gold_sql": "SELECT professional_id , role_code , email_address FROM Professionals EXCEPT SELECT T1.professional_id , T1.role_code , T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id", + "gold_answer": [ + [ + 1, + "Employee", + "deanna.schuster@example.com" + ], + [ + 2, + "Employee", + "lucile.shanahan@example.org" + ], + [ + 3, + "Employee", + "uboehm@example.org" + ], + [ + 11, + "Employee", + "west.eula@example.net" + ], + [ + 12, + "Veterenarian", + "marquardt.furman@example.org" + ], + [ + 13, + "Veterenarian", + "delphine29@example.com" + ], + [ + 15, + "Employee", + "jeichmann@example.com" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "Professionals", + "Treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_074" + }, + { + "question_text": "Find the role, street, city and state of the professionals living in a city that contains the substring 'West'.", + "database_name": "dog_kennels", + "gold_sql": "SELECT role_code , street , city , state FROM professionals WHERE city LIKE '%West%'", + "gold_answer": [ + [ + "Employee", + "6915 Oberbrunner Point Suite 491\nGleasonville, LA ", + "West Heidi", + "Indiana" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_075" + }, + { + "question_text": "Which professionals live in a city containing the substring 'West'? List his or her role, street, city and state.", + "database_name": "dog_kennels", + "gold_sql": "SELECT role_code , street , city , state FROM professionals WHERE city LIKE '%West%'", + "gold_answer": [ + [ + "Employee", + "6915 Oberbrunner Point Suite 491\nGleasonville, LA ", + "West Heidi", + "Indiana" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_076" + }, + { + "question_text": "Find the states where both owners and professionals live.", + "database_name": "dog_kennels", + "gold_sql": "SELECT state FROM Owners INTERSECT SELECT state FROM Professionals", + "gold_answer": [ + "Indiana", + "Mississippi", + "Wisconsin" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Owners", + "Professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_077" + }, + { + "question_text": "Which states have both owners and professionals living there?", + "database_name": "dog_kennels", + "gold_sql": "SELECT state FROM Owners INTERSECT SELECT state FROM Professionals", + "gold_answer": [ + "Indiana", + "Mississippi", + "Wisconsin" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Owners", + "Professionals" + ], + "split": "train", + "question_id": "dog_kennels_train_078" + }, + { + "question_text": "Tell me the number of dogs that have not received any treatment .", + "database_name": "dog_kennels", + "gold_sql": "select count(*) from dogs where dog_id not in ( select dog_id from treatments )", + "gold_answer": 6, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "dogs", + "treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_079" + }, + { + "question_text": "What are the names of the dogs for which the owner has not spend more than 1000 for treatment ?", + "database_name": "dog_kennels", + "gold_sql": "select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment) > 1000 )", + "gold_answer": [ + "Kacey", + "Hipolito", + "Mavis", + "Houston", + "Jeffrey", + "Merritt", + "Narciso", + "George", + "Bessie", + "Betty", + "Holden", + "Jesus" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "dogs", + "treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_080" + }, + { + "question_text": "Which dogs have not cost their owner more than 1000 for treatment ? List the dog names .", + "database_name": "dog_kennels", + "gold_sql": "select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment) > 1000 )", + "gold_answer": [ + "Kacey", + "Hipolito", + "Mavis", + "Houston", + "Jeffrey", + "Merritt", + "Narciso", + "George", + "Bessie", + "Betty", + "Holden", + "Jesus" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "dogs", + "treatments" + ], + "split": "train", + "question_id": "dog_kennels_train_081" + }, + { + "question_text": "Give me all the information about hiring.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT * FROM hiring", + "gold_answer": [ + [ + 1, + 1, + "2009", + "T" + ], + [ + 1, + 2, + "2003", + "T" + ], + [ + 8, + 3, + "2011", + "F" + ], + [ + 4, + 4, + "2012", + "T" + ], + [ + 5, + 5, + "2013", + "T" + ], + [ + 2, + 6, + "2010", + "F" + ], + [ + 6, + 7, + "2008", + "T" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "hiring" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_000" + }, + { + "question_text": "What is all the information about hiring?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT * FROM hiring", + "gold_answer": [ + [ + 1, + 1, + "2009", + "T" + ], + [ + 1, + 2, + "2003", + "T" + ], + [ + 8, + 3, + "2011", + "F" + ], + [ + 4, + 4, + "2012", + "T" + ], + [ + 5, + 5, + "2013", + "T" + ], + [ + 2, + 6, + "2010", + "F" + ], + [ + 6, + 7, + "2008", + "T" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "hiring" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_001" + }, + { + "question_text": "Find the cities that have more than one employee under age 30.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1", + "gold_answer": "Bath", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_002" + }, + { + "question_text": "Which cities do more than one employee under age 30 come from?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1", + "gold_answer": "Bath", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_003" + }, + { + "question_text": "Find the number of shops in each location.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION", + "gold_answer": [ + [ + 1, + "Espoo" + ], + [ + 1, + "Helsinki" + ], + [ + 1, + "Jakobstad" + ], + [ + 1, + "Kotka" + ], + [ + 1, + "Kuopio" + ], + [ + 1, + "Lahti" + ], + [ + 1, + "Mariehamn" + ], + [ + 1, + "Turku" + ], + [ + 1, + "Valkeakoski" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_004" + }, + { + "question_text": "How many shops are there in each location?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION", + "gold_answer": [ + [ + 1, + "Espoo" + ], + [ + 1, + "Helsinki" + ], + [ + 1, + "Jakobstad" + ], + [ + 1, + "Kotka" + ], + [ + 1, + "Kuopio" + ], + [ + 1, + "Lahti" + ], + [ + 1, + "Mariehamn" + ], + [ + 1, + "Turku" + ], + [ + 1, + "Valkeakoski" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_005" + }, + { + "question_text": "Count the number of employees for each city.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) , city FROM employee GROUP BY city", + "gold_answer": [ + [ + 3, + "Bath" + ], + [ + 3, + "Bristol" + ], + [ + 1, + "Leicester" + ], + [ + 1, + "Sale" + ], + [ + 2, + "Wasps" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_006" + }, + { + "question_text": "What is the number of employees from each city?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) , city FROM employee GROUP BY city", + "gold_answer": [ + [ + 3, + "Bath" + ], + [ + 3, + "Bristol" + ], + [ + 1, + "Leicester" + ], + [ + 1, + "Sale" + ], + [ + 2, + "Wasps" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_007" + }, + { + "question_text": "Find the number of employees hired in each shop; show the shop name as well.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) , t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t2.name", + "gold_answer": [ + [ + 2, + "FC Haka" + ], + [ + 1, + "FC Inter" + ], + [ + 1, + "FC KooTeePee" + ], + [ + 1, + "FC Lahti" + ], + [ + 1, + "FF Jaro" + ], + [ + 1, + "HJK" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "hiring", + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_008" + }, + { + "question_text": "For each shop, return the number of employees working there and the name of the shop.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) , t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t2.name", + "gold_answer": [ + [ + 2, + "FC Haka" + ], + [ + 1, + "FC Inter" + ], + [ + 1, + "FC KooTeePee" + ], + [ + 1, + "FC Lahti" + ], + [ + 1, + "FF Jaro" + ], + [ + 1, + "HJK" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "hiring", + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_009" + }, + { + "question_text": "Count the number of employees", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) FROM employee", + "gold_answer": 10, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_010" + }, + { + "question_text": "How many employees are there?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(*) FROM employee", + "gold_answer": 10, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_011" + }, + { + "question_text": "Count the number of distinct store locations.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(DISTINCT LOCATION) FROM shop", + "gold_answer": 9, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_012" + }, + { + "question_text": "How many different store locations are there?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT count(DISTINCT LOCATION) FROM shop", + "gold_answer": 9, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_013" + }, + { + "question_text": "Find the districts in which there are both shops selling less than 3000 products and shops selling more than 10000 products.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_014" + }, + { + "question_text": "Which district has both stores with less than 3000 products and stores with more than 10000 products?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_015" + }, + { + "question_text": "Find the manager name and district of the shop whose number of products is the largest.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1", + "gold_answer": [ + [ + "Ilkka Mäkelä", + "Lahden Stadion" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_016" + }, + { + "question_text": "What are the manager name and district of the shop that sells the largest number of products?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1", + "gold_answer": [ + [ + "Ilkka Mäkelä", + "Lahden Stadion" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_017" + }, + { + "question_text": "What are the minimum and maximum number of products across all the shops?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT min(Number_products) , max(Number_products) FROM shop", + "gold_answer": [ + [ + 1600, + 15000 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_018" + }, + { + "question_text": "find the minimum and maximum number of products of all stores.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT min(Number_products) , max(Number_products) FROM shop", + "gold_answer": [ + [ + 1600, + 15000 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_019" + }, + { + "question_text": "Return the name, location and district of all shops in descending order of number of products.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC", + "gold_answer": [ + [ + "FC Lahti", + "Lahti", + "Lahden Stadion" + ], + [ + "HJK", + "Helsinki", + "Finnair Stadium" + ], + [ + "FC Inter", + "Turku", + "Veritas Stadion" + ], + [ + "FC Honka", + "Espoo", + "Tapiolan Urheilupuisto" + ], + [ + "FF Jaro", + "Jakobstad", + "Jakobstads Centralplan" + ], + [ + "FC KooTeePee", + "Kotka", + "Arto Tolsa Areena" + ], + [ + "FC Haka", + "Valkeakoski", + "Tehtaan kenttä" + ], + [ + "KuPS", + "Kuopio", + "Magnum Areena" + ], + [ + "IFK Mariehamn", + "Mariehamn", + "Wiklöf Holding Arena" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_020" + }, + { + "question_text": "Sort all the shops by number products in descending order, and return the name, location and district of each shop.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC", + "gold_answer": [ + [ + "FC Lahti", + "Lahti", + "Lahden Stadion" + ], + [ + "HJK", + "Helsinki", + "Finnair Stadium" + ], + [ + "FC Inter", + "Turku", + "Veritas Stadion" + ], + [ + "FC Honka", + "Espoo", + "Tapiolan Urheilupuisto" + ], + [ + "FF Jaro", + "Jakobstad", + "Jakobstads Centralplan" + ], + [ + "FC KooTeePee", + "Kotka", + "Arto Tolsa Areena" + ], + [ + "FC Haka", + "Valkeakoski", + "Tehtaan kenttä" + ], + [ + "KuPS", + "Kuopio", + "Magnum Areena" + ], + [ + "IFK Mariehamn", + "Mariehamn", + "Wiklöf Holding Arena" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_021" + }, + { + "question_text": "List the names of employees and sort in ascending order of age.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM employee ORDER BY age", + "gold_answer": [ + "George Chuter", + "Andrew Sheridan", + "Lee Mears", + "Tim Payne", + "Matt Stevens", + "Jason Hobson", + "Steve Borthwick", + "Louis Deacon", + "Phil Vickery", + "Mark Regan" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_022" + }, + { + "question_text": "Sort employee names by their age in ascending order.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM employee ORDER BY age", + "gold_answer": [ + "George Chuter", + "Andrew Sheridan", + "Lee Mears", + "Tim Payne", + "Matt Stevens", + "Jason Hobson", + "Steve Borthwick", + "Louis Deacon", + "Phil Vickery", + "Mark Regan" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "employee" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_023" + }, + { + "question_text": "Find the names of employees who never won any award in the evaluation.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM employee WHERE Employee_ID NOT IN (SELECT Employee_ID FROM evaluation)", + "gold_answer": [ + "Mark Regan", + "Tim Payne", + "Andrew Sheridan", + "Phil Vickery", + "Steve Borthwick" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "employee", + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_024" + }, + { + "question_text": "What are the names of the employees who never received any evaluation?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM employee WHERE Employee_ID NOT IN (SELECT Employee_ID FROM evaluation)", + "gold_answer": [ + "Mark Regan", + "Tim Payne", + "Andrew Sheridan", + "Phil Vickery", + "Steve Borthwick" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "employee", + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_025" + }, + { + "question_text": "Find the names of stores whose number products is more than the average number of products.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop)", + "gold_answer": [ + "HJK", + "FC Inter", + "FC Lahti" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_026" + }, + { + "question_text": "Which shops' number products is above the average? Give me the shop names.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop)", + "gold_answer": [ + "HJK", + "FC Inter", + "FC Lahti" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_027" + }, + { + "question_text": "Find the name of the shops that do not hire any employee.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)", + "gold_answer": [ + "FC Honka", + "KuPS", + "IFK Mariehamn" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "hiring", + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_028" + }, + { + "question_text": "Which shops run with no employees? Find the shop names", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring)", + "gold_answer": [ + "FC Honka", + "KuPS", + "IFK Mariehamn" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "hiring", + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_029" + }, + { + "question_text": "Find the total amount of bonus given in all the evaluations.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT sum(bonus) FROM evaluation", + "gold_answer": 19500.0, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_030" + }, + { + "question_text": "What is total bonus given in all evaluations?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT sum(bonus) FROM evaluation", + "gold_answer": 19500.0, + "answer_type": "float", + "difficulty": "easy", + "tables_involved": [ + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_031" + }, + { + "question_text": "Which employee received the most awards in evaluations? Give me the employee name.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID GROUP BY t2.Employee_ID ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "George Chuter", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "employee", + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_032" + }, + { + "question_text": "find the name of employee who was awarded the most times in the evaluation.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID GROUP BY t2.Employee_ID ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "George Chuter", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "employee", + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_033" + }, + { + "question_text": "Find the name of the employee who got the highest one time bonus.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1", + "gold_answer": "Louis Deacon", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "employee", + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_034" + }, + { + "question_text": "Which employee received the biggest bonus? Give me the employee name.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1", + "gold_answer": "Louis Deacon", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "employee", + "evaluation" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_035" + }, + { + "question_text": "What is the name of the shop that is hiring the largest number of employees?", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "FC Haka", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "hiring", + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_036" + }, + { + "question_text": "Which shop has the most employees? Give me the shop name.", + "database_name": "employee_hire_evaluation", + "gold_sql": "SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "FC Haka", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "hiring", + "shop" + ], + "split": "train", + "question_id": "employee_hire_evaluation_train_037" + }, + { + "question_text": "What is the abbreviation of Airline \"JetBlue Airways\"?", + "database_name": "flight_2", + "gold_sql": "SELECT Abbreviation FROM AIRLINES WHERE Airline = \"JetBlue Airways\"", + "gold_answer": "JetBlue", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_000" + }, + { + "question_text": "Which abbreviation corresponds to Jetblue Airways?", + "database_name": "flight_2", + "gold_sql": "SELECT Abbreviation FROM AIRLINES WHERE Airline = \"JetBlue Airways\"", + "gold_answer": "JetBlue", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_001" + }, + { + "question_text": "List all airline names and their abbreviations in \"USA\".", + "database_name": "flight_2", + "gold_sql": "SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = \"USA\"", + "gold_answer": [ + [ + "United Airlines", + "UAL" + ], + [ + "US Airways", + "USAir" + ], + [ + "Delta Airlines", + "Delta" + ], + [ + "Southwest Airlines", + "Southwest" + ], + [ + "American Airlines", + "American" + ], + [ + "Northwest Airlines", + "Northwest" + ], + [ + "Continental Airlines", + "Continental" + ], + [ + "JetBlue Airways", + "JetBlue" + ], + [ + "Frontier Airlines", + "Frontier" + ], + [ + "AirTran Airways", + "AirTran" + ], + [ + "Allegiant Air", + "Allegiant" + ], + [ + "Virgin America", + "Virgin" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_002" + }, + { + "question_text": "What are the airline names and abbreviations for airlines in the USA?", + "database_name": "flight_2", + "gold_sql": "SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = \"USA\"", + "gold_answer": [ + [ + "United Airlines", + "UAL" + ], + [ + "US Airways", + "USAir" + ], + [ + "Delta Airlines", + "Delta" + ], + [ + "Southwest Airlines", + "Southwest" + ], + [ + "American Airlines", + "American" + ], + [ + "Northwest Airlines", + "Northwest" + ], + [ + "Continental Airlines", + "Continental" + ], + [ + "JetBlue Airways", + "JetBlue" + ], + [ + "Frontier Airlines", + "Frontier" + ], + [ + "AirTran Airways", + "AirTran" + ], + [ + "Allegiant Air", + "Allegiant" + ], + [ + "Virgin America", + "Virgin" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_003" + }, + { + "question_text": "Give the airline with abbreviation 'UAL'.", + "database_name": "flight_2", + "gold_sql": "SELECT Airline FROM AIRLINES WHERE Abbreviation = \"UAL\"", + "gold_answer": "United Airlines", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_004" + }, + { + "question_text": "Which airline has abbreviation 'UAL'?", + "database_name": "flight_2", + "gold_sql": "SELECT Airline FROM AIRLINES WHERE Abbreviation = \"UAL\"", + "gold_answer": "United Airlines", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_005" + }, + { + "question_text": "Give the airport code and airport name corresonding to the city Anthony.", + "database_name": "flight_2", + "gold_sql": "SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = \"Anthony\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_006" + }, + { + "question_text": "List the airport code and name in the city of Anthony.", + "database_name": "flight_2", + "gold_sql": "SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = \"Anthony\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_007" + }, + { + "question_text": "Return the name of the airport with code 'AKO'.", + "database_name": "flight_2", + "gold_sql": "SELECT AirportName FROM AIRPORTS WHERE AirportCode = \"AKO\"", + "gold_answer": "Colorado Plains Regional Airport ", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_008" + }, + { + "question_text": "What is the airport name for airport 'AKO'?", + "database_name": "flight_2", + "gold_sql": "SELECT AirportName FROM AIRPORTS WHERE AirportCode = \"AKO\"", + "gold_answer": "Colorado Plains Regional Airport ", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_009" + }, + { + "question_text": "What are airport names at City 'Aberdeen'?", + "database_name": "flight_2", + "gold_sql": "SELECT AirportName FROM AIRPORTS WHERE City = \"Aberdeen\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_010" + }, + { + "question_text": "What are the names of airports in Aberdeen?", + "database_name": "flight_2", + "gold_sql": "SELECT AirportName FROM AIRPORTS WHERE City = \"Aberdeen\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_011" + }, + { + "question_text": "Find the name of airports which do not have any flight in and out.", + "database_name": "flight_2", + "gold_sql": "SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights)", + "gold_answer": [ + "Phillips AAF ", + "Municipal ", + "Dyess AFB ", + "Municipal ", + "Virginia Highlands ", + "Ada ", + "Adak Island Ns ", + "Lenawee County ", + "Municipal ", + "Municipal ", + "Ainsworth ", + "Akhiok SPB ", + "Spb ", + "Akiak ", + "Colorado Plains Regional Airport ", + "Akron/canton Regional ", + "Fulton International ", + "Akutan ", + "Alakanuk ", + "NAS ", + "Holloman AFB ", + "Municipal ", + "Municipal ", + "Albany NAS ", + "Dougherty County ", + "Albany International ", + "Albany ", + "Albert Lea ", + "Albuquerque International ", + "Aleknagik ", + "Aleneva ", + "Thomas C Russell Fld ", + "Alexandria International ", + "Esler Field ", + "Alexandria ", + "Alexandria Bay ", + "Algona ", + "International ", + "George Downer ", + "Alitak SPB ", + "Allakaket ", + "Alliance ", + "Gratiot Community ", + "Alpena County Regional ", + "Alpine ", + "Alton ", + "Altus AFB ", + "Municipal ", + "Alyeska ", + "Rick Husband Amarillo International ", + "Tradewind ", + "Ambler ", + "Amchitka ", + "Municipal ", + "Ames ", + "Zahns ", + "Amook ", + "Anacortes ", + "USN Heliport ", + "Orange County Steel Salvage Heliport ", + "Anaktuvuk ", + "Elmendorf Afb ", + "Ted Stevens Anchorage International Airport ", + "Merrill Field ", + "Municipal ", + "Anderson ", + "Andrews ", + "Angel Fire ", + "Tri-State Steuben Cty ", + "Angoon ", + "Rollang Field ", + "Aniak ", + "Anita Bay ", + "Municipal ", + "Lee ", + "Annette Island ", + "Anniston Metropolitan ", + "Ft Mcclellan Bus Trml ", + "Reilly AHP ", + "Anthony ", + "Antlers ", + "Anvik ", + "Municipal ", + "Apple Valley ", + "Outagamie County ", + "Municipal ", + "Arcata ", + "Arctic Village ", + "Downtown ", + "Ardmore Municipal Arpt ", + "US Army Heliport ", + "Artesia ", + "Asbury Park ", + "Ashland ", + "Ashley ", + "Aspen ", + "Astoria ", + "Athens ", + "Ohio University ", + "McMinn County " + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Airports", + "Flights" + ], + "split": "train", + "question_id": "flight_2_train_012" + }, + { + "question_text": "Which airports do not have departing or arriving flights?", + "database_name": "flight_2", + "gold_sql": "SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights)", + "gold_answer": [ + "Phillips AAF ", + "Municipal ", + "Dyess AFB ", + "Municipal ", + "Virginia Highlands ", + "Ada ", + "Adak Island Ns ", + "Lenawee County ", + "Municipal ", + "Municipal ", + "Ainsworth ", + "Akhiok SPB ", + "Spb ", + "Akiak ", + "Colorado Plains Regional Airport ", + "Akron/canton Regional ", + "Fulton International ", + "Akutan ", + "Alakanuk ", + "NAS ", + "Holloman AFB ", + "Municipal ", + "Municipal ", + "Albany NAS ", + "Dougherty County ", + "Albany International ", + "Albany ", + "Albert Lea ", + "Albuquerque International ", + "Aleknagik ", + "Aleneva ", + "Thomas C Russell Fld ", + "Alexandria International ", + "Esler Field ", + "Alexandria ", + "Alexandria Bay ", + "Algona ", + "International ", + "George Downer ", + "Alitak SPB ", + "Allakaket ", + "Alliance ", + "Gratiot Community ", + "Alpena County Regional ", + "Alpine ", + "Alton ", + "Altus AFB ", + "Municipal ", + "Alyeska ", + "Rick Husband Amarillo International ", + "Tradewind ", + "Ambler ", + "Amchitka ", + "Municipal ", + "Ames ", + "Zahns ", + "Amook ", + "Anacortes ", + "USN Heliport ", + "Orange County Steel Salvage Heliport ", + "Anaktuvuk ", + "Elmendorf Afb ", + "Ted Stevens Anchorage International Airport ", + "Merrill Field ", + "Municipal ", + "Anderson ", + "Andrews ", + "Angel Fire ", + "Tri-State Steuben Cty ", + "Angoon ", + "Rollang Field ", + "Aniak ", + "Anita Bay ", + "Municipal ", + "Lee ", + "Annette Island ", + "Anniston Metropolitan ", + "Ft Mcclellan Bus Trml ", + "Reilly AHP ", + "Anthony ", + "Antlers ", + "Anvik ", + "Municipal ", + "Apple Valley ", + "Outagamie County ", + "Municipal ", + "Arcata ", + "Arctic Village ", + "Downtown ", + "Ardmore Municipal Arpt ", + "US Army Heliport ", + "Artesia ", + "Asbury Park ", + "Ashland ", + "Ashley ", + "Aspen ", + "Astoria ", + "Athens ", + "Ohio University ", + "McMinn County " + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "Airports", + "Flights" + ], + "split": "train", + "question_id": "flight_2_train_013" + }, + { + "question_text": "Give the city and country for the Alton airport.", + "database_name": "flight_2", + "gold_sql": "SELECT City , Country FROM AIRPORTS WHERE AirportName = \"Alton\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_014" + }, + { + "question_text": "Which city and country is the Alton airport at?", + "database_name": "flight_2", + "gold_sql": "SELECT City , Country FROM AIRPORTS WHERE AirportName = \"Alton\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_015" + }, + { + "question_text": "What country is Jetblue Airways affiliated with?", + "database_name": "flight_2", + "gold_sql": "SELECT Country FROM AIRLINES WHERE Airline = \"JetBlue Airways\"", + "gold_answer": "USA", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_016" + }, + { + "question_text": "Which country does Airline \"JetBlue Airways\" belong to?", + "database_name": "flight_2", + "gold_sql": "SELECT Country FROM AIRLINES WHERE Airline = \"JetBlue Airways\"", + "gold_answer": "USA", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_017" + }, + { + "question_text": "Give the flight numbers of flights landing at APG.", + "database_name": "flight_2", + "gold_sql": "SELECT FlightNo FROM FLIGHTS WHERE DestAirport = \"APG\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_018" + }, + { + "question_text": "What are flight numbers of flights arriving at Airport \"APG\"?", + "database_name": "flight_2", + "gold_sql": "SELECT FlightNo FROM FLIGHTS WHERE DestAirport = \"APG\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_019" + }, + { + "question_text": "Give the flight numbers of flights leaving from APG.", + "database_name": "flight_2", + "gold_sql": "SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = \"APG\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_020" + }, + { + "question_text": "What are flight numbers of flights departing from Airport \"APG\"?", + "database_name": "flight_2", + "gold_sql": "SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = \"APG\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_021" + }, + { + "question_text": "Find the abbreviation and country of the airline that has fewest number of flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Abbreviation , T1.Country FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) LIMIT 1", + "gold_answer": [ + [ + "AirTran", + "USA" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_022" + }, + { + "question_text": "What is the abbreviation of the airilne has the fewest flights and what country is it in?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Abbreviation , T1.Country FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) LIMIT 1", + "gold_answer": [ + [ + "AirTran", + "USA" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_023" + }, + { + "question_text": "Find all airlines that have fewer than 200 flights.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING count(*) < 200", + "gold_answer": [ + "AirTran Airways", + "Allegiant Air", + "American Airlines", + "Continental Airlines", + "Delta Airlines", + "Frontier Airlines", + "JetBlue Airways", + "Northwest Airlines", + "Southwest Airlines", + "US Airways", + "United Airlines", + "Virgin America" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_024" + }, + { + "question_text": "Which airlines have less than 200 flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING count(*) < 200", + "gold_answer": [ + "AirTran Airways", + "Allegiant Air", + "American Airlines", + "Continental Airlines", + "Delta Airlines", + "Frontier Airlines", + "JetBlue Airways", + "Northwest Airlines", + "Southwest Airlines", + "US Airways", + "United Airlines", + "Virgin America" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_025" + }, + { + "question_text": "Find all airlines that have at least 10 flights.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING count(*) > 10", + "gold_answer": [ + "AirTran Airways", + "Allegiant Air", + "American Airlines", + "Continental Airlines", + "Delta Airlines", + "Frontier Airlines", + "JetBlue Airways", + "Northwest Airlines", + "Southwest Airlines", + "US Airways", + "United Airlines", + "Virgin America" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_026" + }, + { + "question_text": "Which airlines have at least 10 flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING count(*) > 10", + "gold_answer": [ + "AirTran Airways", + "Allegiant Air", + "American Airlines", + "Continental Airlines", + "Delta Airlines", + "Frontier Airlines", + "JetBlue Airways", + "Northwest Airlines", + "Southwest Airlines", + "US Airways", + "United Airlines", + "Virgin America" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_027" + }, + { + "question_text": "What airline serves the most flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "Virgin America", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_028" + }, + { + "question_text": "Which airline has most number of flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "Virgin America", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_029" + }, + { + "question_text": "What are airlines that have flights arriving at airport 'AHD'?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = \"AHD\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_030" + }, + { + "question_text": "Which airlines have a flight with destination airport AHD?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = \"AHD\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_031" + }, + { + "question_text": "What are airlines that have some flight departing from airport 'AHD'?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"AHD\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_032" + }, + { + "question_text": "Which airlines have a flight with source airport AHD?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"AHD\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_033" + }, + { + "question_text": "Find all airlines that have flights from both airports 'APG' and 'CVO'.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"APG\" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"CVO\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_034" + }, + { + "question_text": "Which airlines have departing flights from both APG and CVO airports?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"APG\" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"CVO\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_035" + }, + { + "question_text": "Find all airlines that have flights from airport 'CVO' but not from 'APG'.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"CVO\" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"APG\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_036" + }, + { + "question_text": "Which airlines have departures from CVO but not from APG airports?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"CVO\" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = \"APG\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_037" + }, + { + "question_text": "What is the airport code of the airport with the most flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport OR T1.AirportCode = T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_038" + }, + { + "question_text": "What is the code of airport that has the highest number of flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport OR T1.AirportCode = T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_039" + }, + { + "question_text": "Give the code of the airport with the least flights.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport OR T1.AirportCode = T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_040" + }, + { + "question_text": "What is the code of airport that has fewest number of flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport OR T1.AirportCode = T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_041" + }, + { + "question_text": "Which city has most number of arriving flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_042" + }, + { + "question_text": "Which city has the most frequent destination airport?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_043" + }, + { + "question_text": "Which city has most number of departing flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.SourceAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_044" + }, + { + "question_text": "Which city is the most frequent source airport?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.SourceAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_045" + }, + { + "question_text": "What are flight numbers of Airline \"United Airlines\"?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = \"United Airlines\"", + "gold_answer": [ + 28, + 29, + 44, + 45, + 54, + 55, + 90, + 91, + 108, + 109, + 142, + 143, + 148, + 149, + 198, + 199, + 226, + 227, + 276, + 277, + 308, + 309, + 326, + 327, + 370, + 371, + 414, + 415, + 424, + 425, + 470, + 471, + 520, + 521, + 556, + 557, + 560, + 561, + 604, + 605, + 608, + 609, + 626, + 627, + 658, + 659, + 708, + 709, + 744, + 745, + 754, + 755, + 786, + 787, + 810, + 811, + 828, + 829, + 878, + 879, + 888, + 889, + 900, + 901, + 924, + 925, + 946, + 947, + 996, + 997, + 1000, + 1001, + 1026, + 1027, + 1062, + 1063, + 1068, + 1069, + 1100, + 1101, + 1144, + 1145, + 1166, + 1167, + 1168, + 1169, + 1192, + 1193, + 1208, + 1209, + 1216, + 1217, + 1250, + 1251, + 1274, + 1275, + 1284, + 1285, + 1328, + 1329 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_046" + }, + { + "question_text": "Which flight numbers correspond to United Airlines flights?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = \"United Airlines\"", + "gold_answer": [ + 28, + 29, + 44, + 45, + 54, + 55, + 90, + 91, + 108, + 109, + 142, + 143, + 148, + 149, + 198, + 199, + 226, + 227, + 276, + 277, + 308, + 309, + 326, + 327, + 370, + 371, + 414, + 415, + 424, + 425, + 470, + 471, + 520, + 521, + 556, + 557, + 560, + 561, + 604, + 605, + 608, + 609, + 626, + 627, + 658, + 659, + 708, + 709, + 744, + 745, + 754, + 755, + 786, + 787, + 810, + 811, + 828, + 829, + 878, + 879, + 888, + 889, + 900, + 901, + 924, + 925, + 946, + 947, + 996, + 997, + 1000, + 1001, + 1026, + 1027, + 1062, + 1063, + 1068, + 1069, + 1100, + 1101, + 1144, + 1145, + 1166, + 1167, + 1168, + 1169, + 1192, + 1193, + 1208, + 1209, + 1216, + 1217, + 1250, + 1251, + 1274, + 1275, + 1284, + 1285, + 1328, + 1329 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_047" + }, + { + "question_text": "Give the flight numbers of flights arriving in Aberdeen.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_048" + }, + { + "question_text": "What are flight numbers of flights arriving at City \"Aberdeen\"?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_049" + }, + { + "question_text": "Give the flight numbers of flights leaving from Aberdeen.", + "database_name": "flight_2", + "gold_sql": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_050" + }, + { + "question_text": "What are flight numbers of flights departing from City \"Aberdeen \"?", + "database_name": "flight_2", + "gold_sql": "SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": [], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_051" + }, + { + "question_text": "How many airlines do we have?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES", + "gold_answer": 12, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_052" + }, + { + "question_text": "What is the total number of airlines?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES", + "gold_answer": 12, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_053" + }, + { + "question_text": "Count the number of United Airlines flights arriving in ASY Airport.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = \"United Airlines\" AND T2.DestAirport = \"ASY\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_054" + }, + { + "question_text": "How many 'United Airlines' flights go to Airport 'ASY'?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = \"United Airlines\" AND T2.DestAirport = \"ASY\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_055" + }, + { + "question_text": "How many 'United Airlines' flights depart from Airport 'AHD'?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = \"United Airlines\" AND T2.SourceAirport = \"AHD\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_056" + }, + { + "question_text": "Return the number of United Airlines flights leaving from AHD Airport.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = \"United Airlines\" AND T2.SourceAirport = \"AHD\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_057" + }, + { + "question_text": "How many airlines are from USA?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES WHERE Country = \"USA\"", + "gold_answer": 12, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_058" + }, + { + "question_text": "Return the number of airlines in the USA.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRLINES WHERE Country = \"USA\"", + "gold_answer": 12, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES" + ], + "split": "train", + "question_id": "flight_2_train_059" + }, + { + "question_text": "How many airports do we have?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRPORTS", + "gold_answer": 100, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_060" + }, + { + "question_text": "Return the number of airports.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM AIRPORTS", + "gold_answer": 100, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS" + ], + "split": "train", + "question_id": "flight_2_train_061" + }, + { + "question_text": "How many flights do we have?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS", + "gold_answer": 1200, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_062" + }, + { + "question_text": "Return the number of flights.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS", + "gold_answer": 1200, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_063" + }, + { + "question_text": "Give the number of Jetblue Airways flights.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = \"JetBlue Airways\"", + "gold_answer": 100, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_064" + }, + { + "question_text": "How many flights does airline 'JetBlue Airways' have?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = \"JetBlue Airways\"", + "gold_answer": 100, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRLINES", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_065" + }, + { + "question_text": "Count the number of United Airlines flights that arrive in Aberdeen.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = \"Aberdeen\" AND T3.Airline = \"United Airlines\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "medium", + "tables_involved": [ + "AIRLINES", + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_066" + }, + { + "question_text": "How many United Airlines flights go to City 'Aberdeen'?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = \"Aberdeen\" AND T3.Airline = \"United Airlines\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "medium", + "tables_involved": [ + "AIRLINES", + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_067" + }, + { + "question_text": "How many flights depart from City 'Aberdeen' and have destination City 'Ashley'?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = \"Ashley\" AND T3.City = \"Aberdeen\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_068" + }, + { + "question_text": "How many flights fly from Aberdeen to Ashley?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = \"Ashley\" AND T3.City = \"Aberdeen\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_069" + }, + { + "question_text": "How many flights arriving in Aberdeen city?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_070" + }, + { + "question_text": "Return the number of flights arriving in Aberdeen.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_071" + }, + { + "question_text": "How many flights depart from City Aberdeen?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_072" + }, + { + "question_text": "Return the number of flights departing from Aberdeen.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = \"Aberdeen\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "AIRPORTS", + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_073" + }, + { + "question_text": "Count the number of flights into ATO.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS WHERE DestAirport = \"ATO\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_074" + }, + { + "question_text": "How many flights have destination ATO?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS WHERE DestAirport = \"ATO\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_075" + }, + { + "question_text": "Count the number of flights departing from 'APG'.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS WHERE SourceAirport = \"APG\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_076" + }, + { + "question_text": "How many flights depart from 'APG'?", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM FLIGHTS WHERE SourceAirport = \"APG\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "FLIGHTS" + ], + "split": "train", + "question_id": "flight_2_train_077" + }, + { + "question_text": "Find the number of flights landing in the city of Aberdeen or Abilene.", + "database_name": "flight_2", + "gold_sql": "SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = \"Aberdeen\" OR T2.city = \"Abilene\"", + "gold_answer": 0, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "Airports", + "Flights" + ], + "split": "train", + "question_id": "flight_2_train_078" + }, + { + "question_text": "What are all details of the students who registered but did not attend any course?", + "database_name": "student_assessment", + "gold_sql": "SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)", + "gold_answer": [ + [ + 131, + 303, + "2008-11-05 10:35:13" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_000" + }, + { + "question_text": "What are all info of students who registered courses but not attended courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)", + "gold_answer": [ + [ + 131, + 303, + "2008-11-05 10:35:13" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_001" + }, + { + "question_text": "Find distinct cities of addresses of people?", + "database_name": "student_assessment", + "gold_sql": "SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id", + "gold_answer": [ + "South Minnie", + "Linnealand", + "East Tavaresburgh", + "Terencetown", + "Lake Devon", + "O'Connellview", + "New Alta", + "South Naomibury" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "addresses", + "people_addresses" + ], + "split": "train", + "question_id": "student_assessment_train_002" + }, + { + "question_text": "What are the different cities where people live?", + "database_name": "student_assessment", + "gold_sql": "SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id", + "gold_answer": [ + "South Minnie", + "Linnealand", + "East Tavaresburgh", + "Terencetown", + "Lake Devon", + "O'Connellview", + "New Alta", + "South Naomibury" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "addresses", + "people_addresses" + ], + "split": "train", + "question_id": "student_assessment_train_003" + }, + { + "question_text": "Find distinct cities of address of students?", + "database_name": "student_assessment", + "gold_sql": "SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id", + "gold_answer": [ + "South Minnie", + "Linnealand", + "East Tavaresburgh", + "Terencetown", + "Lake Devon", + "O'Connellview", + "New Alta", + "South Naomibury" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "addresses", + "people_addresses", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_004" + }, + { + "question_text": "What are the different cities where students live?", + "database_name": "student_assessment", + "gold_sql": "SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id", + "gold_answer": [ + "South Minnie", + "Linnealand", + "East Tavaresburgh", + "Terencetown", + "Lake Devon", + "O'Connellview", + "New Alta", + "South Naomibury" + ], + "answer_type": "list", + "difficulty": "medium", + "tables_involved": [ + "addresses", + "people_addresses", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_005" + }, + { + "question_text": "What is the name of the course with the most registered students?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "statistics", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_006" + }, + { + "question_text": "which course has most number of registered students?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "statistics", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_007" + }, + { + "question_text": "What are the details of the student who registered for the most number of courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "Martin", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_008" + }, + { + "question_text": "What is detail of the student who registered the most number of courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1", + "gold_answer": "Martin", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_009" + }, + { + "question_text": "What are the ids of all students for courses and what are the names of those courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id", + "gold_answer": [ + [ + 111, + "statistics" + ], + [ + 121, + "statistics" + ], + [ + 141, + "statistics" + ], + [ + 171, + "statistics" + ], + [ + 141, + "English" + ], + [ + 161, + "English" + ], + [ + 121, + "French" + ], + [ + 131, + "French" + ], + [ + 151, + "data structure" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_010" + }, + { + "question_text": "For every student who is registered for some course, how many courses are they registered for?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id", + "gold_answer": [ + [ + 111, + 1 + ], + [ + 121, + 2 + ], + [ + 131, + 1 + ], + [ + 141, + 2 + ], + [ + 151, + 1 + ], + [ + 161, + 1 + ], + [ + 171, + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_011" + }, + { + "question_text": "List the id of students who registered some courses and the number of their registered courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id", + "gold_answer": [ + [ + 111, + 1 + ], + [ + 121, + 2 + ], + [ + 131, + 1 + ], + [ + 141, + 2 + ], + [ + 151, + 1 + ], + [ + 161, + 1 + ], + [ + 171, + 1 + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_012" + }, + { + "question_text": "Find id of the candidate whose email is stanley.monahan@example.org?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = \"stanley.monahan@example.org\"", + "gold_answer": 151, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "candidates", + "people" + ], + "split": "train", + "question_id": "student_assessment_train_013" + }, + { + "question_text": "What is the id of the candidate whose email is stanley.monahan@example.org?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = \"stanley.monahan@example.org\"", + "gold_answer": 151, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "candidates", + "people" + ], + "split": "train", + "question_id": "student_assessment_train_014" + }, + { + "question_text": "What are the first and last names of all the candidates?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id", + "gold_answer": [ + [ + "Shannon", + "Senger" + ], + [ + "Virginie", + "Hartmann" + ], + [ + "Dariana", + "Bednar" + ], + [ + "Verna", + "Grant" + ], + [ + "Hoyt", + "Wintheiser" + ], + [ + "Mayra", + "Hartmann" + ], + [ + "Lizeth", + "Bartoletti" + ], + [ + "Nova", + "Feest" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "candidates", + "people" + ], + "split": "train", + "question_id": "student_assessment_train_015" + }, + { + "question_text": "what are the first name and last name of all candidates?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id", + "gold_answer": [ + [ + "Shannon", + "Senger" + ], + [ + "Virginie", + "Hartmann" + ], + [ + "Dariana", + "Bednar" + ], + [ + "Verna", + "Grant" + ], + [ + "Hoyt", + "Wintheiser" + ], + [ + "Mayra", + "Hartmann" + ], + [ + "Lizeth", + "Bartoletti" + ], + [ + "Nova", + "Feest" + ] + ], + "answer_type": "table", + "difficulty": "easy", + "tables_involved": [ + "candidates", + "people" + ], + "split": "train", + "question_id": "student_assessment_train_016" + }, + { + "question_text": "What details do we have on the students who registered for courses most recently?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1", + "gold_answer": "Martin", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_017" + }, + { + "question_text": "What is detail of the student who most recently registered course?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1", + "gold_answer": "Martin", + "answer_type": "string", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_018" + }, + { + "question_text": "List the id of students who attended statistics courses in the order of attendance date.", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = \"statistics\" ORDER BY T2.date_of_attendance", + "gold_answer": [ + 111, + 121, + 141, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_019" + }, + { + "question_text": "What are the ids of the students who attended courses in the statistics department in order of attendance date.", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = \"statistics\" ORDER BY T2.date_of_attendance", + "gold_answer": [ + 111, + 121, + 141, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_020" + }, + { + "question_text": "List the id of students who registered course statistics in the order of registration date.", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = \"statistics\" ORDER BY T2.registration_date", + "gold_answer": [ + 121, + 111, + 171, + 141 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_021" + }, + { + "question_text": "What are the ids of the students who registered course statistics by order of registration date?", + "database_name": "student_assessment", + "gold_sql": "SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = \"statistics\" ORDER BY T2.registration_date", + "gold_answer": [ + 121, + 111, + 171, + 141 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_022" + }, + { + "question_text": "Find the cell mobile number of the candidates whose assessment code is \"Fail\"?", + "database_name": "student_assessment", + "gold_sql": "SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = \"Fail\"", + "gold_answer": "(262)347-9364x516", + "answer_type": "string", + "difficulty": "medium", + "tables_involved": [ + "candidate_assessments", + "candidates", + "people" + ], + "split": "train", + "question_id": "student_assessment_train_023" + }, + { + "question_text": "What are the cell phone numbers of the candidates that received an assessment code of \"Fail\"?", + "database_name": "student_assessment", + "gold_sql": "SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = \"Fail\"", + "gold_answer": "(262)347-9364x516", + "answer_type": "string", + "difficulty": "medium", + "tables_involved": [ + "candidate_assessments", + "candidates", + "people" + ], + "split": "train", + "question_id": "student_assessment_train_024" + }, + { + "question_text": "For each course id, how many students are registered and what are the course names?", + "database_name": "student_assessment", + "gold_sql": "SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id", + "gold_answer": [ + [ + "statistics", + 4 + ], + [ + "English", + 2 + ], + [ + "French", + 2 + ], + [ + "data structure", + 1 + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "courses", + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_025" + }, + { + "question_text": "How many registed students do each course have? List course name and the number of their registered students?", + "database_name": "student_assessment", + "gold_sql": "SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id", + "gold_answer": [ + [ + "statistics", + 4 + ], + [ + "English", + 2 + ], + [ + "French", + 2 + ], + [ + "data structure", + 1 + ] + ], + "answer_type": "table", + "difficulty": "medium", + "tables_involved": [ + "courses", + "student_course_registrations", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_026" + }, + { + "question_text": "Find id of the candidate who most recently accessed the course?", + "database_name": "student_assessment", + "gold_sql": "SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1", + "gold_answer": 121, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "candidate_assessments" + ], + "split": "train", + "question_id": "student_assessment_train_027" + }, + { + "question_text": "What is the id of the candidate who most recently accessed the course?", + "database_name": "student_assessment", + "gold_sql": "SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1", + "gold_answer": 121, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "candidate_assessments" + ], + "split": "train", + "question_id": "student_assessment_train_028" + }, + { + "question_text": "Find id of candidates whose assessment code is \"Pass\"?", + "database_name": "student_assessment", + "gold_sql": "SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = \"Pass\"", + "gold_answer": [ + 111, + 121, + 141, + 151 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "candidate_assessments" + ], + "split": "train", + "question_id": "student_assessment_train_029" + }, + { + "question_text": "What are the ids of the candidates that have an outcome code of Pass?", + "database_name": "student_assessment", + "gold_sql": "SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = \"Pass\"", + "gold_answer": [ + 111, + 121, + 141, + 151 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "candidate_assessments" + ], + "split": "train", + "question_id": "student_assessment_train_030" + }, + { + "question_text": "How many students are attending English courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = \"English\"", + "gold_answer": 2, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_031" + }, + { + "question_text": "How many students attend course English?", + "database_name": "student_assessment", + "gold_sql": "SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = \"English\"", + "gold_answer": 2, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_032" + }, + { + "question_text": "How many courses do the student whose id is 171 attend?", + "database_name": "student_assessment", + "gold_sql": "SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171", + "gold_answer": 1, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_033" + }, + { + "question_text": "How many courses does the student with id 171 actually attend?", + "database_name": "student_assessment", + "gold_sql": "SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171", + "gold_answer": 1, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "courses", + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_034" + }, + { + "question_text": "Find the id of courses which are registered or attended by student whose id is 121?", + "database_name": "student_assessment", + "gold_sql": "SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121", + "gold_answer": [ + 301, + 303 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_035" + }, + { + "question_text": "What are the ids of the courses that are registered or attended by the student whose id is 121?", + "database_name": "student_assessment", + "gold_sql": "SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121", + "gold_answer": [ + 301, + 303 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_036" + }, + { + "question_text": "List the names of courses in alphabetical order?", + "database_name": "student_assessment", + "gold_sql": "SELECT course_name FROM courses ORDER BY course_name", + "gold_answer": [ + "Art history", + "English", + "French", + "data structure", + "database", + "statistics" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "courses" + ], + "split": "train", + "question_id": "student_assessment_train_037" + }, + { + "question_text": "What are the names of the courses in alphabetical order?", + "database_name": "student_assessment", + "gold_sql": "SELECT course_name FROM courses ORDER BY course_name", + "gold_answer": [ + "Art history", + "English", + "French", + "data structure", + "database", + "statistics" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "courses" + ], + "split": "train", + "question_id": "student_assessment_train_038" + }, + { + "question_text": "List the first names of people in alphabetical order?", + "database_name": "student_assessment", + "gold_sql": "SELECT first_name FROM people ORDER BY first_name", + "gold_answer": [ + "Dariana", + "Hoyt", + "Lizeth", + "Mayra", + "Nova", + "Shannon", + "Verna", + "Virginie" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "people" + ], + "split": "train", + "question_id": "student_assessment_train_039" + }, + { + "question_text": "What are the first names of the people in alphabetical order?", + "database_name": "student_assessment", + "gold_sql": "SELECT first_name FROM people ORDER BY first_name", + "gold_answer": [ + "Dariana", + "Hoyt", + "Lizeth", + "Mayra", + "Nova", + "Shannon", + "Verna", + "Virginie" + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "people" + ], + "split": "train", + "question_id": "student_assessment_train_040" + }, + { + "question_text": "List the id of students who attended some courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_attendance", + "gold_answer": [ + 111, + 121, + 121, + 141, + 141, + 151, + 161, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_041" + }, + { + "question_text": "What are the ids of all students who have attended at least one course?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_attendance", + "gold_answer": [ + 111, + 121, + 121, + 141, + 141, + 151, + 161, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_042" + }, + { + "question_text": "What are the id of students who registered course 301?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_attendance WHERE course_id = 301", + "gold_answer": [ + 111, + 121, + 141, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_043" + }, + { + "question_text": "What are the ids of the students who registered for course 301?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_attendance WHERE course_id = 301", + "gold_answer": [ + 111, + 121, + 141, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_044" + }, + { + "question_text": "What are the ids of the students who registered for course 301 most recently?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1", + "gold_answer": 171, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_045" + }, + { + "question_text": "What is the id of the student who most recently registered course 301?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1", + "gold_answer": 171, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance" + ], + "split": "train", + "question_id": "student_assessment_train_046" + }, + { + "question_text": "What are the ids of the students who registered for some courses but had the least number of courses for all students?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1", + "gold_answer": 111, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_047" + }, + { + "question_text": "what is id of students who registered some courses but the least number of courses in these students?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1", + "gold_answer": 111, + "answer_type": "integer", + "difficulty": "easy", + "tables_involved": [ + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_048" + }, + { + "question_text": "What are the id of students who registered courses or attended courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance", + "gold_answer": [ + 111, + 121, + 131, + 141, + 151, + 161, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_049" + }, + { + "question_text": "What are the ids of the students who either registered or attended a course?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance", + "gold_answer": [ + 111, + 121, + 131, + 141, + 151, + 161, + 171 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "student_course_registrations" + ], + "split": "train", + "question_id": "student_assessment_train_050" + }, + { + "question_text": "List the id of students who never attends courses?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)", + "gold_answer": [ + 131, + 181 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_051" + }, + { + "question_text": "What are the ids of every student who has never attended a course?", + "database_name": "student_assessment", + "gold_sql": "SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)", + "gold_answer": [ + 131, + 181 + ], + "answer_type": "list", + "difficulty": "easy", + "tables_involved": [ + "student_course_attendance", + "students" + ], + "split": "train", + "question_id": "student_assessment_train_052" + } +] \ No newline at end of file