diff --git "a/spider/t5-base/run_5/error_analysis.txt" "b/spider/t5-base/run_5/error_analysis.txt" new file mode 100644--- /dev/null +++ "b/spider/t5-base/run_5/error_analysis.txt" @@ -0,0 +1,3700 @@ +Spider Error Analysis — t5-base Run 5 +EM norm: 40.43% | EX: 51.45% | Table F1: 88.32% +================================================================================ + +[1] WRONG_COLUMNS | DB: concert_singer | EX: ✗ + Q : What is the maximum capacity and the average of all stadiums + Pred: SELECT MAX(capacity), AVG(capacity) FROM stadium + Gold: SELECT MAX(capacity), average FROM stadium + Type: AGGREGATION + +[2] MISSING_JOIN | DB: concert_singer | EX: ✗ + Q : For each stadium, how many concerts play there + Pred: SELECT stadium_id, COUNT(*) FROM concert GROUP BY stadium_id + Gold: SELECT T2.name, COUNT(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id + Type: JOIN, GROUP_BY, AGGREGATION + +[3] OTHER | DB: concert_singer | EX: ✗ + Q : Show the stadium name and capacity with most number of concerts in year 2014 or after + Pred: 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 T1.Stadium_ID ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[4] EXTRA_JOIN | DB: concert_singer | EX: ✓ + Q : Show the stadium names without any concert + Pred: SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id + Gold: SELECT name FROM stadium WHERE NOT stadium_id IN (SELECT stadium_id FROM concert) + Type: NESTED + +[5] OTHER | DB: concert_singer | EX: ✗ + Q : Show countries where a singer above age 40 and a singer below 30 are from + Pred: SELECT Country FROM singer WHERE Age > 40 INTERSECT SELECT Country FROM singer WHERE Age 30 + Gold: SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30 + Type: SIMPLE + +[6] MISSING_JOIN | DB: concert_singer | EX: ✗ + Q : What are the names of all stadiums that did not have a concert in 2014 + Pred: SELECT name FROM stadium WHERE NOT stadium_id IN (SELECT stadium_id FROM concert WHERE YEAR > 2014) + Gold: 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 + Type: JOIN + +[7] OTHER | DB: concert_singer | EX: ✓ + Q : Show the name and theme for all concerts and the number of singers in each concert + Pred: 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 T1.Concert_ID + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[8] WRONG_TABLE | DB: concert_singer | EX: ✗ + Q : What are the names , themes , and number of singers for every concert + Pred: SELECT T2.concert_name, T2.theme, COUNT(*) FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.concert_id = T2.singer_id GROUP BY T2.singer_id + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[9] WRONG_TABLE | DB: concert_singer | EX: ✓ + Q : List singer names and number of concerts for each singer + Pred: SELECT T3.Name, COUNT(*) FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.concert_id = T2.concert_id JOIN singer AS T3 ON T2.singer_id = T3.singer_id GROUP BY T3.Singer_ID + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[10] WRONG_TABLE | DB: concert_singer | EX: ✓ + Q : What are the names of the singers and number of concerts for each person + Pred: SELECT T3.Name, COUNT(*) FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.concert_id = T2.concert_id JOIN singer AS T3 ON T2.singer_id = T3.singer_id GROUP BY T3.Singer_ID + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[11] WRONG_TABLE | DB: concert_singer | EX: ✓ + Q : List all singer names in concerts in year 2014 + Pred: SELECT T3.Name FROM concert AS T1 JOIN singer_in_concert AS T2 ON T1.Concert_ID = T2.Concert_ID JOIN singer AS T3 ON T2.Singer_ID = T3.Singer_ID WHERE T1.Year = 2014 + Gold: 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 + Type: JOIN + +[12] OTHER | DB: concert_singer | EX: ✗ + Q : What are the names of the singers who performed in a concert in 2014 + Pred: SELECT T2.Name FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.Concert_ID = T2.Concert_ID WHERE T2.Year = 2014 + Gold: 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 + Type: JOIN + +[13] WRONG_TABLE | DB: concert_singer | EX: ✗ + Q : Find the number of concerts happened in the stadium with the highest capacity + Pred: SELECT COUNT(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id ORDER BY T2.capacity DESC LIMIT 1 + Gold: SELECT COUNT(*) FROM concert WHERE stadium_id = (SELECT stadium_id FROM stadium ORDER BY capacity DESC LIMIT 1) + Type: ORDER_BY, LIMIT, NESTED, AGGREGATION + +[14] EXTRA_JOIN | DB: concert_singer | EX: ✓ + Q : What are the number of concerts that occurred in the stadium with the largest capacity + Pred: SELECT COUNT(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T2.capacity = (SELECT MAX(capacity) FROM stadium) + Gold: SELECT COUNT(*) FROM concert WHERE stadium_id = (SELECT stadium_id FROM stadium ORDER BY capacity DESC LIMIT 1) + Type: ORDER_BY, LIMIT, NESTED, AGGREGATION + +[15] OTHER | DB: pets_1 | EX: ✓ + Q : Find the weight of the youngest dog + Pred: SELECT weight FROM pets ORDER BY pet_age ASC LIMIT 1 + Gold: SELECT weight FROM pets ORDER BY pet_age LIMIT 1 + Type: ORDER_BY, LIMIT + +[16] OTHER | DB: pets_1 | EX: ✓ + Q : How much does the youngest dog weigh + Pred: SELECT weight FROM pets ORDER BY pet_age ASC LIMIT 1 + Gold: SELECT weight FROM pets ORDER BY pet_age LIMIT 1 + Type: ORDER_BY, LIMIT + +[17] WRONG_TABLE | DB: pets_1 | EX: ✓ + Q : Find number of pets owned by students who are older than 20 + Pred: SELECT COUNT(*) FROM pets AS T1 JOIN has_pet AS T2 ON T1.petid = T2.petid JOIN student AS T3 ON T2.stuid = T3.stuid WHERE T3.age > 20 + Gold: SELECT COUNT(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 + Type: JOIN, AGGREGATION + +[18] WRONG_TABLE | DB: pets_1 | EX: ✓ + Q : How many pets are owned by students that have an age greater than 20 + Pred: SELECT COUNT(*) FROM has_pet AS T1 JOIN pets AS T2 ON T1.petid = T2.petid JOIN student AS T3 ON T1.stuid = T3.stuid WHERE T3.age > 20 + Gold: SELECT COUNT(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20 + Type: JOIN, AGGREGATION + +[19] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : Find the number of dog pets that are raised by female students (with sex F) + Pred: SELECT COUNT(*) FROM has_pet AS T1 JOIN pets AS T2 ON T1.petid = T2.petid JOIN student AS T3 ON T1.stuid = T3.stuid WHERE T3.sex = 'F' + Gold: SELECT COUNT(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' + Type: JOIN, AGGREGATION + +[20] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : How many dog pets are raised by female students + Pred: SELECT COUNT(*) FROM has_pet AS T1 JOIN pets AS T2 ON T1.petid = T2.petid JOIN student AS T3 ON T1.stuid = T3.stuid WHERE T3.sex = 'F' + Gold: SELECT COUNT(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog' + Type: JOIN, AGGREGATION + +[21] OTHER | DB: pets_1 | EX: ✗ + Q : Find the first name of students who have cat or dog pet + Pred: SELECT DISTINCT T1.fname FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID WHERE T2.pettype = "Cat" OR T2.pettype = "Dog" + Gold: SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' + Type: JOIN + +[22] OTHER | DB: pets_1 | EX: ✗ + Q : What are the first names of every student who has a cat or dog as a pet + Pred: SELECT DISTINCT T1.fname FROM Student AS T1 JOIN Has_Pet AS T2 ON T1.StuID = T2.StuID WHERE T2.pettype = "Cat" OR T2.pettype = "Dog" + Gold: SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog' + Type: JOIN + +[23] OTHER | DB: pets_1 | EX: ✗ + Q : Find the first name of students who have both cat and dog pets + Pred: SELECT t1.fname FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.stuid JOIN pets AS t3 ON t2.petid = t3.petid WHERE t3.pettype = "cat" INTERSECT SELECT t1.fname FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.petid WHERE t3.pet + Gold: SELECT t1.fname FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.stuid JOIN pets AS t3 ON t3.petid = t2.petid WHERE t3.pettype = 'cat' INTERSECT SELECT t1.fname FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.stuid JOIN pets AS t3 ON t3.petid = t2.petid WHERE t3.pettype = 'dog' + Type: JOIN + +[24] OTHER | DB: pets_1 | EX: ✗ + Q : What are the students' first names who have both cats and dogs as pets + Pred: SELECT t1.fname FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.stuid JOIN pets AS t3 ON t2.petid = t3.petid WHERE t3.pettype = "cat" INTERSECT SELECT t1.fname FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.stuid JOIN pets AS + Gold: SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' + Type: JOIN + +[25] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : Find the major and age of students who do not have a cat pet + Pred: SELECT major, age FROM Student WHERE NOT StuID IN (SELECT StuID FROM Has_pet) + Gold: SELECT major, age FROM student WHERE NOT stuid IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') + Type: JOIN, NESTED + +[26] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : What major is every student who does not own a cat as a pet, and also how old are they + Pred: SELECT major, age FROM Student WHERE NOT StuID IN (SELECT major FROM Has_pet) + Gold: SELECT major, age FROM student WHERE NOT stuid IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') + Type: JOIN, NESTED + +[27] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : Find the id of students who do not have a cat pet + Pred: SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_pet + Gold: SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' + Type: JOIN + +[28] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : What are the ids of the students who do not own cats as pets + Pred: SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_pet + Gold: SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' + Type: JOIN + +[29] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : Find the first name and age of students who have a dog but do not have a cat as a pet + Pred: SELECT fname, age FROM Student WHERE StuID IN (SELECT StuID FROM Has_pet WHERE pet_age = 'Dog') EXCEPT SELECT StuID FROM Pets WHERE pet_age = 'Cat') + Gold: SELECT T1.fname, T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND NOT T1.stuid IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') + Type: JOIN, NESTED + +[30] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : What is the first name of every student who has a dog but does not have a cat + Pred: SELECT fname FROM Student WHERE StuID IN (SELECT StuID FROM Has_pet WHERE pettype = "dog") EXCEPT SELECT StuID FROM Has_pet WHERE pet_age = 1 + Gold: SELECT T1.fname, T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND NOT T1.stuid IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') + Type: JOIN, NESTED + +[31] WRONG_COLUMNS | DB: pets_1 | EX: ✗ + Q : Find the average and maximum age for each type of pet + Pred: SELECT pettype, AVG(pet_age), MAX(pet_age) FROM pets GROUP BY pettype + Gold: SELECT AVG(pet_age), MAX(pet_age), pettype FROM pets GROUP BY pettype + Type: GROUP_BY, AGGREGATION + +[32] MISSING_GROUP_BY | DB: pets_1 | EX: ✗ + Q : What is the average and maximum age for each pet type + Pred: SELECT AVG(pet_age), MAX(pet_age) FROM pets + Gold: SELECT AVG(pet_age), MAX(pet_age), pettype FROM pets GROUP BY pettype + Type: GROUP_BY, AGGREGATION + +[33] WRONG_COLUMNS | DB: pets_1 | EX: ✗ + Q : Find the average weight for each pet type + Pred: SELECT pettype, AVG(weight) FROM pets GROUP BY pettype + Gold: SELECT AVG(weight), pettype FROM pets GROUP BY pettype + Type: GROUP_BY, AGGREGATION + +[34] WRONG_COLUMNS | DB: pets_1 | EX: ✗ + Q : What is the average weight for each type of pet + Pred: SELECT pettype, AVG(weight) FROM pets GROUP BY pettype + Gold: SELECT AVG(weight), pettype FROM pets GROUP BY pettype + Type: GROUP_BY, AGGREGATION + +[35] WRONG_TABLE | DB: pets_1 | EX: ✓ + Q : Find the first name and age of students who have a pet + Pred: SELECT fname, age FROM Student WHERE StuID IN (SELECT StuID FROM Has_pet) + Gold: SELECT DISTINCT T1.fname, T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid + Type: JOIN + +[36] WRONG_TABLE | DB: pets_1 | EX: ✓ + Q : Find the id of the pet owned by student whose last name is ‘Smith’ + Pred: SELECT T2.petid FROM Has_pet AS T1 JOIN pets AS T2 ON T1.petid = T2.petid JOIN student AS T3 ON T1.stuid = T3.stuid WHERE T3.lname = 'Smith' + Gold: SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.Lname = 'Smith' + Type: JOIN + +[37] WRONG_TABLE | DB: pets_1 | EX: ✓ + Q : What is the id of the pet owned by the student whose last name is 'Smith' + Pred: SELECT T2.petid FROM Has_pet AS T1 JOIN pets AS T2 ON T1.petid = T2.petid JOIN Student AS T3 ON T1.StuID = T3.StuID WHERE T3.LName = 'Smith' + Gold: SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.Lname = 'Smith' + Type: JOIN + +[38] WRONG_TABLE | DB: pets_1 | EX: ✓ + Q : Find the number of pets for each student who has any pet and student id + Pred: SELECT COUNT(*), T1.StuID FROM Has_pet AS T1 JOIN pets AS T2 ON T1.PetId = T2.petId GROUP BY T1.StuID + Gold: SELECT COUNT(*), T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid GROUP BY T1.stuid + Type: JOIN, GROUP_BY, AGGREGATION + +[39] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : For students who have pets , how many pets does each student have ? list their ids instead of names + Pred: SELECT StuID, COUNT(*) FROM Has_pet GROUP BY StuID + Gold: SELECT COUNT(*), t1.stuid FROM student AS t1 JOIN has_pet AS t2 ON t1.stuid = t2.stuid GROUP BY t1.stuid + Type: JOIN, GROUP_BY, AGGREGATION + +[40] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : Find the first name and gender of student who have more than one pet + Pred: SELECT fname, sex FROM student WHERE StuID IN (SELECT StuID FROM Has_pet) GROUP BY StuID HAVING COUNT(*) > 1) + Gold: SELECT T1.fname, T1.sex FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid GROUP BY T1.stuid HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[41] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : What is the first name and gender of the all the students who have more than one pet + Pred: SELECT fname, sex FROM Student WHERE StuID IN (SELECT StuID FROM Has_pet) GROUP BY StuID HAVING COUNT(*) > 1) + Gold: SELECT T1.fname, T1.sex FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid GROUP BY T1.stuid HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[42] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : Find the last name of the student who has a cat that is age 3 + Pred: SELECT lname FROM student WHERE StuID IN (SELECT StuID FROM Has_pet WHERE pet_age = 3) + Gold: SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat' + Type: JOIN + +[43] WRONG_TABLE | DB: pets_1 | EX: ✗ + Q : What is the last name of the student who has a cat that is 3 years old + Pred: SELECT lname FROM student WHERE StuID IN (SELECT StuID FROM Has_pet WHERE pet_age = 3) + Gold: SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat' + Type: JOIN + +[44] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : How many countries does each continent have? List the continent id, continent name and the number of countries + Pred: SELECT continent, COUNT(*) FROM continents GROUP BY continent + Gold: SELECT T1.ContId, T1.Continent, COUNT(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId = T2.Continent GROUP BY T1.ContId + Type: JOIN, GROUP_BY, AGGREGATION + +[45] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : For each continent, list its id, name, and how many countries it has + Pred: SELECT contid, countryname, COUNT(*) FROM continents GROUP BY continent + Gold: SELECT T1.ContId, T1.Continent, COUNT(*) FROM CONTINENTS AS T1 JOIN COUNTRIES AS T2 ON T1.ContId = T2.Continent GROUP BY T1.ContId + Type: JOIN, GROUP_BY, AGGREGATION + +[46] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What is the full name of each car maker, along with its id and how many models it produces + Pred: SELECT T1.FullName, T2.id, COUNT(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.maker GROUP BY T2.id + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[47] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Which model of the car has the minimum horsepower + Pred: SELECT model FROM cars_data WHERE horsepower = (SELECT MIN(horsepower) FROM cars_data) + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[48] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the model of the car with the smallest amount of horsepower + Pred: SELECT t2.model FROM cars_names AS t1 JOIN model_list AS t2 ON t1.model = t2.model ORDER BY horsepower LIMIT 1 + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[49] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Find the model of the car whose weight is below the average weight + Pred: SELECT DISTINCT model FROM cars_data WHERE weight (SELECT AVG(weight) FROM cars_data) + Gold: 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) + Type: JOIN, NESTED, AGGREGATION + +[50] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the model for the car with a weight smaller than the average + Pred: SELECT DISTINCT model FROM cars_data WHERE weight (SELECT AVG(weight) FROM cars_data) + Gold: 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) + Type: JOIN, NESTED, AGGREGATION + +[51] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Find the name of the makers that produced some cars in the year of 1970 + Pred: SELECT T2.maker FROM cars_makers AS T1 JOIN car_makers AS T2 ON T1.id = T2.maker WHERE T1.year = 1970 + Gold: 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' + Type: JOIN + +[52] OTHER | DB: car_1 | EX: ✗ + Q : What is the name of the different car makers who produced a car in 1970 + Pred: SELECT DISTINCT T1.maker FROM car_makers AS T1 JOIN car_names AS T2 ON T1.id = T2.maker WHERE T2.year = 1970 + Gold: 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' + Type: JOIN + +[53] MISSING_WHERE | DB: car_1 | EX: ✗ + Q : Find the make and production time of the cars that were produced in the earliest year + Pred: SELECT DISTINCT T1.make, T2.year FROM cars_data AS T1 JOIN car_names AS T2 ON T1.id = T2.makeid ORDER BY T2.year LIMIT 1 + Gold: 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) + Type: JOIN, NESTED, AGGREGATION + +[54] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the maker of the carr produced in the earliest year and what year was it + Pred: SELECT T1.maker, T2.year FROM car_makers AS T1 JOIN car_names AS T2 ON T1.id = T2.maker ORDER BY T2.year ASC LIMIT 1 + Gold: 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) + Type: JOIN, NESTED, AGGREGATION + +[55] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Which distinct car models are the produced after 1980 + Pred: SELECT DISTINCT model FROM car_names WHERE YEAR > 1980 + Gold: 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 + Type: JOIN + +[56] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What are the different models for the cards produced after 1980 + Pred: SELECT DISTINCT model FROM car_names WHERE YEAR > 1980 + Gold: 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 + Type: JOIN + +[57] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : How many car makers are there in each continents? List the continent name and the count + Pred: SELECT COUNT(*), T1.continent FROM continents AS T1 JOIN car_makers AS T2 ON T1.contid = T2.continent GROUP BY T1.contid + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[58] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the name of each continent and how many car makers are there in each one + Pred: SELECT T2.continent, COUNT(*) FROM countries AS T1 JOIN continents AS T2 ON T1.contid = T2.contid GROUP BY T1.contid + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[59] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : Which of the countries has the most car makers? List the country name + Pred: SELECT CountryName FROM car_makers GROUP BY CountryName ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[60] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : What is the name of the country with the most car makers + Pred: SELECT CountryName FROM car_makers GROUP BY CountryName ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[61] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : How many car models are produced by each maker ? Only list the count and the maker full name + Pred: SELECT COUNT(*), T1.fullname FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model GROUP BY T1.maker + Gold: SELECT COUNT(*), t2.fullname FROM model_list AS t1 JOIN car_makers AS t2 ON t1.maker = t2.id GROUP BY t2.id + Type: JOIN, GROUP_BY, AGGREGATION + +[62] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the number of car models that are produced by each maker and what is the id and full name of each maker + Pred: SELECT COUNT(*), T1.id, T1.fullname FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model_list GROUP BY T1.id + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[63] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What is the accelerate of the car make amc hornet sportabout (sw) + Pred: SELECT Accelerate FROM cars_data AS T1 JOIN car_names AS T2 ON T1.id = T2.makeid WHERE T2.make = 'amc hornet sportabout' AND T2.weight = 'sw' + Gold: 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)' + Type: JOIN + +[64] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : How much does the car accelerate that makes amc hornet sportabout (sw) + Pred: SELECT Accelerate FROM cars_data WHERE make = 'amc hornet sportabout' AND weight = (SELECT MAX(accelerate) FROM cars_data WHERE make = 'sw') + Gold: 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)' + Type: JOIN + +[65] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : How many car makers are there in france + Pred: SELECT COUNT(*) FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid WHERE T1.countryname = "France" + Gold: SELECT COUNT(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france' + Type: JOIN, AGGREGATION + +[66] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the number of makers of care in France + Pred: SELECT COUNT(*) FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid WHERE T1.countryname = "France" + Gold: SELECT COUNT(*) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'france' + Type: JOIN, AGGREGATION + +[67] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : How many car models are produced in the usa + Pred: SELECT COUNT(*) FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid WHERE T1.countryname = "USA" + Gold: 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' + Type: JOIN, AGGREGATION + +[68] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the count of the car models produced in the United States + Pred: SELECT COUNT(*) FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid WHERE T1.countryname = "United States" + Gold: 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' + Type: JOIN, AGGREGATION + +[69] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What are the makers and models + Pred: SELECT T2.maker, T2.model FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model + Gold: SELECT Maker, Model FROM MODEL_LIST + Type: SIMPLE + +[70] OTHER | DB: car_1 | EX: ✗ + Q : What are the countries having at least one car maker? List name and id + Pred: SELECT T1.countryname, T1.countryid FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid GROUP BY T1.countryid HAVING COUNT(*) >= 1 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[71] OTHER | DB: car_1 | EX: ✗ + Q : What are the names and ids of all countries with at least one car maker + Pred: SELECT T1.countryname, T1.countryid FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid GROUP BY T1.countryid HAVING COUNT(*) >= 1 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[72] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What is the average weight and year for each year + Pred: SELECT AVG(weight), AVG(year) FROM cars_data GROUP BY YEAR + Gold: SELECT AVG(Weight), YEAR FROM CARS_DATA GROUP BY YEAR + Type: GROUP_BY, AGGREGATION + +[73] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : Which countries in europe have at least 3 car manufacturers + Pred: SELECT countryname FROM countries WHERE continent = "Europe" GROUP BY countryname HAVING COUNT(*) >= 3 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[74] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : What are the names of all European countries with at least 3 manufacturers + Pred: SELECT CountryName FROM countries WHERE continent = "Europe" GROUP BY CountryName HAVING COUNT(*) >= 3 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[75] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the maximum horsepower and the make of the car models with 3 cylinders + Pred: SELECT MAX(horsepower), cylinders FROM cars_data WHERE cylinders = 3 + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[76] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the largest amount of horsepower for the models with 3 cylinders and what make is it + Pred: SELECT MAX(horsepower), T2.make FROM cars_data AS T1 JOIN model AS T2 ON T1.model = T2.model WHERE T1.cylinders = 3 GROUP BY T2.make + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[77] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Which model saves the most gasoline? That is to say, have the maximum miles per gallon + Pred: SELECT t2.model FROM cars_data AS t1 JOIN model_list AS t2 ON t1.model = t2.model WHERE t1.mpg = (SELECT MAX(mpg) FROM cars_data) + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[78] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the car model with the highest mpg + Pred: SELECT t2.model FROM cars_data AS t1 JOIN model_list AS t2 ON t1.model = t2.model ORDER BY t1.mpg DESC LIMIT 1 + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[79] OTHER | DB: car_1 | EX: ✗ + Q : What is the average horsepower of the cars before 1980 + Pred: SELECT AVG(horsepower) FROM cars_data WHERE YEAR 1980 + Gold: SELECT AVG(horsepower) FROM CARS_DATA WHERE YEAR < 1980 + Type: AGGREGATION + +[80] OTHER | DB: car_1 | EX: ✗ + Q : What is the average horsepower for all cars produced before 1980 + Pred: SELECT AVG(horsepower) FROM cars_data WHERE YEAR 1980 + Gold: SELECT AVG(horsepower) FROM cars_data WHERE year < 1980 + Type: AGGREGATION + +[81] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the average edispl of the cars of model volvo + Pred: SELECT AVG(edispl) FROM cars_data AS T1 JOIN model_list AS T2 ON T1.model = T2.model WHERE T2.model = 'Volvo' + Gold: SELECT AVG(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo' + Type: JOIN, AGGREGATION + +[82] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What is the average edispl for all volvos + Pred: SELECT AVG(edispl) FROM cars_data WHERE cylinders = 'Volvo' + Gold: SELECT AVG(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T1.Model = 'volvo' + Type: JOIN, AGGREGATION + +[83] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What is the maximum accelerate for different number of cylinders + Pred: SELECT MAX(Attendance), cylinders FROM cars_data GROUP BY cylinders + Gold: SELECT MAX(Accelerate), Cylinders FROM CARS_DATA GROUP BY Cylinders + Type: GROUP_BY, AGGREGATION + +[84] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What is the maximum accelerate for all the different cylinders + Pred: SELECT MAX(Attendance), cylinders FROM cars_data GROUP BY cylinders + Gold: SELECT MAX(Accelerate), Cylinders FROM CARS_DATA GROUP BY Cylinders + Type: GROUP_BY, AGGREGATION + +[85] EXTRA_JOIN | DB: car_1 | EX: ✓ + Q : Which model has the most version(make) of cars + Pred: SELECT T2.model FROM car_names AS T1 JOIN model_list AS T2 ON T1.model = T2.model GROUP BY T2.model ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[86] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What model has the most different versions + Pred: SELECT model FROM model_list GROUP BY model ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[87] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : In 1980, how many cars were made + Pred: SELECT COUNT(*) FROM car_names WHERE YEAR = 1980 + Gold: SELECT COUNT(*) FROM CARS_DATA WHERE YEAR = 1980 + Type: AGGREGATION + +[88] OTHER | DB: car_1 | EX: ✗ + Q : How many car models were produced by the maker with full name American Motor Company + Pred: SELECT COUNT(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model WHERE T1.fullname = "American Motor Company" + Gold: SELECT COUNT(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company' + Type: JOIN, AGGREGATION + +[89] OTHER | DB: car_1 | EX: ✗ + Q : What is the number of car models created by the car maker American Motor Company + Pred: SELECT COUNT(*) FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model WHERE T1.maker = "American Motor Company" + Gold: SELECT COUNT(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id = T2.Maker WHERE T1.FullName = 'American Motor Company' + Type: JOIN, AGGREGATION + +[90] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What are the names and ids of all makers with more than 3 models + Pred: SELECT T1.maker, 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: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[91] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Which distinctive models are produced by maker with the full name General Motors or weighing more than 3500 + Pred: SELECT DISTINCT T2.model FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model WHERE T1.fullname = "General Motors" OR T2.weight > 3500 + Gold: 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 + Type: JOIN + +[92] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What are the different models created by either the car maker General Motors or weighed more than 3500 + Pred: SELECT DISTINCT T2.model FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model WHERE T1.maker = "General Motors" OR T2.weight > 3500 + Gold: 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 + Type: JOIN + +[93] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : In which years cars were produced weighing no less than 3000 and no more than 4000 + Pred: SELECT YEAR FROM cars_data WHERE weight 3000 INTERSECT SELECT YEAR FROM cars_data WHERE weight 4000 + Gold: SELECT DISTINCT year FROM cars_data WHERE weight BETWEEN 3000 AND 4000 + Type: SIMPLE + +[94] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000 + Pred: SELECT DISTINCT YEAR FROM cars_data WHERE weight 4000 INTERSECT SELECT YEAR FROM cars_data WHERE weight > 3000 + Gold: SELECT DISTINCT year FROM cars_data WHERE weight BETWEEN 3000 AND 4000 + Type: SIMPLE + +[95] WRONG_COLUMNS | DB: car_1 | EX: ✓ + Q : What is the horsepower of the car with the largest accelerate + Pred: SELECT horsepower FROM cars_data ORDER BY accelerate DESC LIMIT 1 + Gold: SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[96] WRONG_COLUMNS | DB: car_1 | EX: ✓ + Q : What is the horsepower of the car with the greatest accelerate + Pred: SELECT horsepower FROM cars_data ORDER BY accelerate DESC LIMIT 1 + Gold: SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[97] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : For model volvo, how many cylinders does the car with the least accelerate have + Pred: SELECT cylinders FROM cars_data WHERE accelerate = (SELECT MIN(accelerated) FROM cars_data WHERE model = 'Volvo') + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[98] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : For a volvo model, how many cylinders does the version with least accelerate have + Pred: SELECT cylinders FROM cars_data WHERE accelerate = (SELECT MIN(accelerated) FROM cars_data WHERE model = 'Volvo') + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[99] MISSING_ORDER_BY | DB: car_1 | EX: ✗ + Q : How many cars have a larger accelerate than the car with the largest horsepower + Pred: SELECT COUNT(*) FROM cars_data WHERE accelerate > (SELECT MAX(horsepower) FROM cars_data) + Gold: SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate > (SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1) + Type: ORDER_BY, LIMIT, NESTED, AGGREGATION + +[100] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What is the number of cars with a greater accelerate than the one with the most horsepower + Pred: SELECT COUNT(*) FROM cars_data WHERE accelerate > (SELECT MAX(horsepower) FROM cars_data GROUP BY accelerate ORDER BY COUNT(*) DESC LIMIT 1) + Gold: SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate > (SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1) + Type: ORDER_BY, LIMIT, NESTED, AGGREGATION + +[101] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : How many countries has more than 2 car makers + Pred: SELECT COUNT(*) FROM countries WHERE maker > 2 + Gold: SELECT COUNT(*) FROM countries AS t1 JOIN car_makers AS t2 ON t1.countryid = t2.country GROUP BY t1.countryid HAVING COUNT(*) > 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[102] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : What is the number of countries with more than 2 car makers + Pred: SELECT COUNT(*) FROM countries WHERE maker > 2 + Gold: SELECT COUNT(*) FROM countries AS t1 JOIN car_makers AS t2 ON t1.countryid = t2.country GROUP BY t1.countryid HAVING COUNT(*) > 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[103] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : For the cars with 4 cylinders, which model has the largest horsepower + Pred: SELECT DISTINCT T1.model FROM car_names AS T1 JOIN model_list AS T2 ON T1.model = T2.model WHERE T2.cylinders = 4 ORDER BY horsepower DESC LIMIT 1 + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[104] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : For all of the 4 cylinder cars, which model has the most horsepower + Pred: SELECT DISTINCT model FROM car_names AS T1 JOIN model_list AS T2 ON T1.model = T2.model WHERE T1.cylinders = 4 ORDER BY horsepower DESC LIMIT 1 + Gold: 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 + Type: JOIN, ORDER_BY, LIMIT + +[105] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : Among the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name + Pred: SELECT T1.makeid, T1.makename FROM cars_data AS T1 JOIN car_names AS T2 ON T1.id = T2.makeid WHERE horsepower > (SELECT MIN(horsepower) FROM cars_data) AND T2.cylinders (SELECT MIN(horsepower) FROM cars_data) + Gold: 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 + Type: JOIN, NESTED, AGGREGATION + +[106] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : 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 + Pred: SELECT DISTINCT T1.makeid, T1.name FROM car_names AS T1 JOIN cars_data AS T2 ON T1.id = T2.makeid WHERE T2.HP 4 + Gold: 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 + Type: JOIN, NESTED, AGGREGATION + +[107] EXTRA_JOIN | DB: car_1 | EX: ✗ + Q : What is the maximum miles per gallon of the car with 8 cylinders or produced before 1980 + Pred: SELECT MAX(T2.mpg) FROM cars_data AS T1 JOIN cars AS T2 ON T1.id = T2.makeid WHERE T1.cylinders = 8 OR YEAR 1980 + Gold: SELECT MAX(mpg) FROM cars_data WHERE cylinders = 8 OR year < 1980 + Type: AGGREGATION + +[108] EXTRA_JOIN | DB: car_1 | EX: ✗ + Q : What is the maximum mpg of the cars that had 8 cylinders or that were produced before 1980 + Pred: SELECT MAX(T2.mpg) FROM cars_data AS T1 JOIN cars AS T2 ON T1.id = T2.makeid WHERE T1.cylinders = 8 UNION SELECT MAX(T2.mpg) FROM cars_data AS T1 JOIN car_names AS T2 ON T1.id = T2.makeid WHERE T2.year 1980 + Gold: SELECT MAX(mpg) FROM cars_data WHERE cylinders = 8 OR year < 1980 + Type: AGGREGATION + +[109] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : Which models are lighter than 3500 but not built by the 'Ford Motor Company' + Pred: SELECT DISTINCT T2.model FROM car_names AS T1 JOIN model_list AS T2 ON T1.model = T2.model WHERE T1.weight > 3500 EXCEPT SELECT DISTINCT T2.model FROM car_names AS T3 ON T3.model = T2.model WHERE T3.name = 'Ford Motor Company' + Gold: 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' + Type: JOIN + +[110] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What are the different models wthat are lighter than 3500 but were not built by the Ford Motor Company + Pred: SELECT DISTINCT t2.model FROM car_names AS t1 JOIN model_list AS t2 ON t1.model = t2.model WHERE t1.weight > 3500 EXCEPT SELECT t2.model FROM car_names AS t1 JOIN model_list AS t2 ON t1.model = t2.model WHERE t1.maker = "Ford Motor Company" + Gold: 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' + Type: JOIN + +[111] WRONG_TABLE | DB: car_1 | EX: ✓ + Q : What are the name of the countries where there is not a single car maker + Pred: SELECT CountryName FROM countries WHERE NOT CountryId IN (SELECT Country FROM car_makers) + Gold: SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId = T2.Country + Type: JOIN + +[112] WRONG_TABLE | DB: car_1 | EX: ✗ + Q : What are the names of the countries with no car makers + Pred: SELECT countryname FROM countries WHERE NOT countryid IN (SELECT countryid FROM car_makers) + Gold: SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId = T2.Country + Type: JOIN + +[113] OTHER | DB: car_1 | EX: ✗ + Q : Which are the car makers which produce at least 2 models and more than 3 car makers ? List the id and the maker + Pred: SELECT T1.id, T1.maker FROM car_makers AS T1 JOIN model_list AS T2 ON T1.id = T2.model 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 GROUP BY T1.id HAVING COUNT(*) >= 3 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[114] MISSING_JOIN | DB: car_1 | EX: ✗ + Q : What are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars + Pred: SELECT id, maker FROM car_makers GROUP BY id HAVING COUNT(*) >= 2 INTERSECT SELECT id, maker FROM car_makers GROUP BY maker HAVING COUNT(*) >= 3 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[115] WRONG_COLUMNS | DB: car_1 | EX: ✗ + Q : What are the id and names of the countries which have more than 3 car makers or produce the 'fiat' model + Pred: SELECT T1.countryid, T1.countryname FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid GROUP BY T1.countryid HAVING COUNT(*) > 3 UNION SELECT T1.countryname, T1.countryname FROM countries AS T1 JOIN model_list AS T2 ON T1.countryid = T2.countryid WHERE T2.model = 'fiat' + Gold: 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' + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[116] MISSING_WHERE | DB: car_1 | EX: ✗ + Q : What are the ids and names of all countries that either have more than 3 car makers or produce fiat model + Pred: SELECT T1.countryid, T1.countryname FROM countries AS T1 JOIN car_makers AS T2 ON T1.countryid = T2.countryid GROUP BY T1.countryid HAVING COUNT(*) > 3 UNION SELECT T1.countryname, T1.countryname FROM countries AS T1 JOIN model_list AS T2 ON T1.countryid = T2.countryid GROUP BY T1.countryname HAVING COUNT(*) > 1 + Gold: 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' + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[117] OTHER | DB: flight_2 | EX: ✗ + Q : What is the airport name for airport 'AKO' + Pred: SELECT airportname FROM airports WHERE airportname = 'AKO' + Gold: SELECT AirportName FROM AIRPORTS WHERE AirportCode = "AKO" + Type: SIMPLE + +[118] OTHER | DB: flight_2 | EX: ✓ + Q : How many flights have destination ATO + Pred: SELECT COUNT(*) FROM flights WHERE sourceAirport = 'ATO' + Gold: SELECT COUNT(*) FROM FLIGHTS WHERE DestAirport = "ATO" + Type: AGGREGATION + +[119] OTHER | DB: flight_2 | EX: ✓ + Q : Count the number of flights into ATO + Pred: SELECT COUNT(*) FROM flights WHERE sourceAirport = 'ATO' + Gold: SELECT COUNT(*) FROM FLIGHTS WHERE DestAirport = "ATO" + Type: AGGREGATION + +[120] WRONG_TABLE | DB: flight_2 | EX: ✓ + Q : How many flights depart from City Aberdeen + Pred: SELECT COUNT(*) FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairport WHERE T1.city = "Aberdeen" + Gold: SELECT COUNT(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN, AGGREGATION + +[121] MISSING_JOIN | DB: flight_2 | EX: ✓ + Q : Return the number of flights departing from Aberdeen + Pred: SELECT COUNT(*) FROM flights WHERE sourceAirport = "Aberdeen" + Gold: SELECT COUNT(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN, AGGREGATION + +[122] WRONG_TABLE | DB: flight_2 | EX: ✓ + Q : How many flights arriving in Aberdeen city + Pred: SELECT COUNT(*) FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairport WHERE T1.city = "Aberdeen" + Gold: SELECT COUNT(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN, AGGREGATION + +[123] WRONG_TABLE | DB: flight_2 | EX: ✓ + Q : Return the number of flights arriving in Aberdeen + Pred: SELECT COUNT(*) FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairport WHERE T1.airportname = "Aberdeen" + Gold: SELECT COUNT(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN, AGGREGATION + +[124] OTHER | DB: flight_2 | EX: ✗ + Q : How many flights depart from City 'Aberdeen' and have destination City 'Ashley' + Pred: SELECT COUNT(*) FROM flights AS T1 JOIN airports AS T2 ON T1.sourceairport = T2.airportcode WHERE T2.city = 'Aberdeen' AND T2.destination = 'Ashley' + Gold: 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" + Type: JOIN, AGGREGATION + +[125] MISSING_JOIN | DB: flight_2 | EX: ✗ + Q : How many flights fly from Aberdeen to Ashley + Pred: SELECT COUNT(*) FROM flights WHERE sourceAirport = "Ashley" AND city = "Aberdeen" + Gold: 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" + Type: JOIN, AGGREGATION + +[126] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : How many flights does airline 'JetBlue Airways' have + Pred: SELECT COUNT(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T1.abbreviation = 'JetBlue Airways' + Gold: SELECT COUNT(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways" + Type: JOIN, AGGREGATION + +[127] OTHER | DB: flight_2 | EX: ✗ + Q : Give the number of Jetblue Airways flights + Pred: SELECT COUNT(*) FROM flights AS T1 JOIN airlines AS T2 ON T1.airport = T2.airportcode WHERE T2.abbreviation = "Jetblue Airways" + Gold: SELECT COUNT(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways" + Type: JOIN, AGGREGATION + +[128] OTHER | DB: flight_2 | EX: ✗ + Q : How many 'United Airlines' flights go to Airport 'ASY' + Pred: SELECT COUNT(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.United Airlines WHERE T1.AirportName = 'ASY' + Gold: SELECT COUNT(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY" + Type: JOIN, AGGREGATION + +[129] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Count the number of United Airlines flights arriving in ASY Airport + Pred: SELECT COUNT(*) FROM flights AS T1 JOIN airports AS T2 ON T1.airportcode = T2.airportcode JOIN United Airlines AS T3 ON T1.uid = T3.uid WHERE T2.airportname = "ASY" + Gold: SELECT COUNT(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY" + Type: JOIN, AGGREGATION + +[130] OTHER | DB: flight_2 | EX: ✗ + Q : How many 'United Airlines' flights depart from Airport 'AHD' + Pred: SELECT COUNT(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.United Airlines WHERE T1.AirportName = 'AHD' + Gold: SELECT COUNT(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD" + Type: JOIN, AGGREGATION + +[131] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Return the number of United Airlines flights leaving from AHD Airport + Pred: SELECT COUNT(*) FROM flights AS T1 JOIN airports AS T2 ON T1.airportcode = T2.airportcode JOIN United Airlines AS T3 ON T1.sourceairport = T3.airportcode WHERE T2.airportname = "AHD Airport" + Gold: SELECT COUNT(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD" + Type: JOIN, AGGREGATION + +[132] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : How many United Airlines flights go to City 'Aberdeen' + Pred: SELECT COUNT(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T1.country = 'United Airlines' AND T2.city = 'Aberdeen' + Gold: 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" + Type: JOIN, AGGREGATION + +[133] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Count the number of United Airlines flights that arrive in Aberdeen + Pred: SELECT COUNT(*) FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.uid WHERE T1.country = "Aberdeen" AND T2.sourceairport = "United Airlines" + Gold: 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" + Type: JOIN, AGGREGATION + +[134] OTHER | DB: flight_2 | EX: ✓ + Q : Which city has most number of arriving flights + Pred: 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: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[135] MISSING_JOIN | DB: flight_2 | EX: ✗ + Q : Which city has the most frequent destination airport + Pred: SELECT city FROM airports ORDER BY airportname DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[136] OTHER | DB: flight_2 | EX: ✗ + Q : Which city has most number of departing flights + Pred: SELECT T1.city FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairportcode GROUP BY T1.city ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[137] MISSING_JOIN | DB: flight_2 | EX: ✗ + Q : Which city is the most frequent source airport + Pred: SELECT city FROM airports ORDER BY airportname DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[138] OTHER | DB: flight_2 | EX: ✗ + Q : What is the code of airport that has the highest number of flights + Pred: SELECT T1.airportcode FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.airportcode GROUP BY T1.airportcode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[139] OTHER | DB: flight_2 | EX: ✗ + Q : What is the airport code of the airport with the most flights + Pred: SELECT T1.airportcode FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.airportcode GROUP BY T1.airportcode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[140] MISSING_JOIN | DB: flight_2 | EX: ✗ + Q : What is the code of airport that has fewest number of flights + Pred: SELECT airportcode FROM airports GROUP BY airportcode ORDER BY COUNT(*) LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[141] OTHER | DB: flight_2 | EX: ✗ + Q : Give the code of the airport with the least flights + Pred: SELECT T1.airportcode FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.airportcode GROUP BY T1.airportcode ORDER BY COUNT(*) LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[142] OTHER | DB: flight_2 | EX: ✗ + Q : Which airline has most number of flights + Pred: SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline GROUP BY T1.Airline ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[143] OTHER | DB: flight_2 | EX: ✗ + Q : What airline serves the most flights + Pred: SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.AirportCode GROUP BY T1.Airline ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[144] MISSING_JOIN | DB: flight_2 | EX: ✓ + Q : Find the abbreviation and country of the airline that has fewest number of flights + Pred: SELECT abbreviation, country FROM airlines GROUP BY abbreviation ORDER BY COUNT(*) LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[145] MISSING_JOIN | DB: flight_2 | EX: ✓ + Q : What is the abbreviation of the airilne has the fewest flights and what country is it in + Pred: SELECT abbreviation, country FROM airlines ORDER BY abbreviation LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[146] OTHER | DB: flight_2 | EX: ✓ + Q : What are airlines that have some flight departing from airport 'AHD' + Pred: SELECT T1.airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T2.sourceairport = 'AHD' + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD" + Type: JOIN + +[147] OTHER | DB: flight_2 | EX: ✓ + Q : Which airlines have a flight with source airport AHD + Pred: SELECT T1.airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.sourceairport WHERE T2.sourceairport = 'AHD' + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD" + Type: JOIN + +[148] OTHER | DB: flight_2 | EX: ✗ + Q : What are airlines that have flights arriving at airport 'AHD' + Pred: SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.Airline WHERE T2.AirportName = 'AHD' + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD" + Type: JOIN + +[149] OTHER | DB: flight_2 | EX: ✓ + Q : Which airlines have a flight with destination airport AHD + Pred: SELECT T1.Airline FROM airlines AS T1 JOIN flights AS T2 ON T1.Airline = T2.FlightNo WHERE T2.sourceAirport = "AHD" + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD" + Type: JOIN + +[150] OTHER | DB: flight_2 | EX: ✓ + Q : Find all airlines that have flights from both airports 'APG' and 'CVO' + Pred: SELECT T1.airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T2.sourceAirport = 'APG' INTERSECT SELECT T1.airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T2.sourceAirport = 'CVO' + Gold: 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" + Type: JOIN + +[151] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Which airlines have departing flights from both APG and CVO airports + Pred: SELECT T1.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.Airport = T2.AirportCode WHERE T2.AirportName = "APG" INTERSECT SELECT T1.Airline FROM flights AS T1 JOIN airports AS T2 ON T1.Airport = T2.AirportCode WHERE T2.AirportName = "CVO" + Gold: 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" + Type: JOIN + +[152] OTHER | DB: flight_2 | EX: ✓ + Q : Find all airlines that have flights from airport 'CVO' but not from 'APG' + Pred: SELECT T1.airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T2.sourceairport = 'CVO' EXCEPT SELECT T1.airline FROM airlines AS T1 JOIN flights AS T2 ON T1.uid = T2.flightno WHERE T2.sourceairport = 'APG' + Gold: 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" + Type: JOIN + +[153] OTHER | DB: flight_2 | EX: ✗ + Q : Which airlines have departures from CVO but not from APG airports + Pred: 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 airports AS T2 ON T1.airportcode = T2.airportcode WHERE T2.sourceAirport = 'APG' + Gold: 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" + Type: JOIN + +[154] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Find all airlines that have at least 10 flights + Pred: SELECT airline FROM flights GROUP BY airline HAVING COUNT(*) >= 10 + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING COUNT(*) > 10 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[155] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Which airlines have at least 10 flights + Pred: SELECT airline FROM flights GROUP BY airline HAVING COUNT(*) >= 10 + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING COUNT(*) > 10 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[156] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Find all airlines that have fewer than 200 flights + Pred: SELECT airline FROM flights GROUP BY airline HAVING COUNT(*) 200 + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING COUNT(*) < 200 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[157] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Which airlines have less than 200 flights + Pred: SELECT airline FROM flights GROUP BY airline HAVING COUNT(*) 200 + Gold: SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING COUNT(*) < 200 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[158] OTHER | DB: flight_2 | EX: ✗ + Q : What are flight numbers of Airline "United Airlines" + Pred: SELECT T1.FlightNo FROM flights AS T1 JOIN airlines AS T2 ON T1.Airport = T2.AirportCode WHERE T2.Airline = "United Airlines" + Gold: SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines" + Type: JOIN + +[159] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Which flight numbers correspond to United Airlines flights + Pred: SELECT flightno FROM airlines WHERE airline = "United Airlines" + Gold: SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines" + Type: JOIN + +[160] EXTRA_JOIN | DB: flight_2 | EX: ✓ + Q : What are flight numbers of flights departing from Airport "APG" + Pred: SELECT T1.flightno FROM flights AS T1 JOIN airports AS T2 ON T1.sourceairport = T2.airportcode WHERE T2.AirportName = "APG" + Gold: SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG" + Type: SIMPLE + +[161] EXTRA_JOIN | DB: flight_2 | EX: ✗ + Q : Give the flight numbers of flights leaving from APG + Pred: SELECT T1.flightno FROM flights AS T1 JOIN airports AS T2 ON T1.sourceairport = T2.airportcode WHERE T2.sourceAirport = 'APG' + Gold: SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG" + Type: SIMPLE + +[162] EXTRA_JOIN | DB: flight_2 | EX: ✗ + Q : What are flight numbers of flights arriving at Airport "APG" + Pred: SELECT T1.flightno FROM flights AS T1 JOIN airports AS T2 ON T1.airportcode = T2.airportcode WHERE T2.airportname = "APG" + Gold: SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" + Type: SIMPLE + +[163] EXTRA_JOIN | DB: flight_2 | EX: ✗ + Q : Give the flight numbers of flights landing at APG + Pred: SELECT T1.flightno FROM flights AS T1 JOIN airports AS T2 ON T1.airportcode = T2.airportcode WHERE T2.airportname = "APG" + Gold: SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" + Type: SIMPLE + +[164] OTHER | DB: flight_2 | EX: ✗ + Q : Give the flight numbers of flights leaving from Aberdeen + Pred: SELECT T1.flightno FROM flights AS T1 JOIN airports AS T2 ON T1.airportcode = T2.airportcode WHERE T2.sourceAirport = "Aberdeen" + Gold: SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN + +[165] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : What are flight numbers of flights arriving at City "Aberdeen" + Pred: SELECT T1.flightno FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairport WHERE T1.AirportName = "Aberdeen" + Gold: SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN + +[166] OTHER | DB: flight_2 | EX: ✗ + Q : Give the flight numbers of flights arriving in Aberdeen + Pred: SELECT T1.flightno FROM flights AS T1 JOIN airports AS T2 ON T1.airportcode = T2.airportcode WHERE T2.airportname = "Aberdeen" + Gold: SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen" + Type: JOIN + +[167] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Find the number of flights landing in the city of Aberdeen or Abilene + Pred: SELECT COUNT(*) FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairport WHERE T1.city = "Aberdeen" OR T1.cityabbreviation = "Abilene" + Gold: SELECT COUNT(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene" + Type: JOIN, AGGREGATION + +[168] WRONG_TABLE | DB: flight_2 | EX: ✓ + Q : How many flights land in Aberdeen or Abilene + Pred: SELECT COUNT(*) FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.sourceairport WHERE T1.airportname = "Aberdeen" OR T1.countryabbrev = "Abilene" + Gold: SELECT COUNT(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene" + Type: JOIN, AGGREGATION + +[169] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Find the name of airports which do not have any flight in and out + Pred: SELECT airportname FROM airports EXCEPT SELECT airportname FROM airports WHERE flightno = 'in' INTERSECT SELECT airportname FROM airports WHERE flightno = 'out' + Gold: SELECT AirportName FROM Airports WHERE NOT AirportCode IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights) + Type: NESTED + +[170] WRONG_TABLE | DB: flight_2 | EX: ✗ + Q : Which airports do not have departing or arriving flights + Pred: SELECT airportname FROM airports EXCEPT SELECT T1.airportname FROM airports AS T1 JOIN flights AS T2 ON T1.airportcode = T2.airportcode WHERE T2.flightno = "Departing" OR T2.flightno = "Attending" + Gold: SELECT AirportName FROM Airports WHERE NOT AirportCode IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights) + Type: NESTED + +[171] OTHER | DB: employee_hire_evaluation | EX: ✓ + Q : Sort employee names by their age in ascending order + Pred: SELECT Name FROM employee ORDER BY Age ASC + Gold: SELECT name FROM employee ORDER BY age + Type: ORDER_BY + +[172] OTHER | DB: employee_hire_evaluation | EX: ✓ + Q : List the names of employees and sort in ascending order of age + Pred: SELECT Name FROM employee ORDER BY Age ASC + Gold: SELECT name FROM employee ORDER BY age + Type: ORDER_BY + +[173] OTHER | DB: employee_hire_evaluation | EX: ✗ + Q : Which cities do more than one employee under age 30 come from + Pred: SELECT city FROM employee WHERE age 30 GROUP BY city HAVING COUNT(*) > 1 + Gold: SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING COUNT(*) > 1 + Type: GROUP_BY, HAVING, AGGREGATION + +[174] OTHER | DB: employee_hire_evaluation | EX: ✗ + Q : Find the cities that have more than one employee under age 30 + Pred: SELECT city FROM employee WHERE age > 30 GROUP BY city HAVING COUNT(*) > 1 + Gold: SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING COUNT(*) > 1 + Type: GROUP_BY, HAVING, AGGREGATION + +[175] WRONG_COLUMNS | DB: employee_hire_evaluation | EX: ✗ + Q : Find the number of shops in each location + Pred: SELECT LOCATION, COUNT(*) FROM shop GROUP BY LOCATION + Gold: SELECT COUNT(*), LOCATION FROM shop GROUP BY LOCATION + Type: GROUP_BY, AGGREGATION + +[176] WRONG_COLUMNS | DB: employee_hire_evaluation | EX: ✗ + Q : How many shops are there in each location + Pred: SELECT LOCATION, COUNT(*) FROM shop GROUP BY LOCATION + Gold: SELECT COUNT(*), LOCATION FROM shop GROUP BY LOCATION + Type: GROUP_BY, AGGREGATION + +[177] WRONG_TABLE | DB: employee_hire_evaluation | EX: ✓ + Q : find the name of employee who was awarded the most times in the evaluation + Pred: SELECT T2.Name FROM evaluation AS T1 JOIN employee AS T2 ON T1.Employee_ID = T2.Employee_ID GROUP BY T1.Employee_ID ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[178] MISSING_GROUP_BY | DB: employee_hire_evaluation | EX: ✗ + Q : Which employee received the most awards in evaluations? Give me the employee name + Pred: SELECT T1.Name FROM employee AS T1 JOIN evaluation AS T2 ON T1.Employee_ID = T2.Employee_ID ORDER BY T2.Year_Awarded DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[179] OTHER | DB: employee_hire_evaluation | EX: ✗ + Q : Find the names of employees who never won any award in the evaluation + Pred: SELECT name FROM employee WHERE NOT employee_id IN (SELECT employee_id FROM evaluation WHERE year_awarded = 'Year Awarded') + Gold: SELECT name FROM employee WHERE NOT Employee_ID IN (SELECT Employee_ID FROM evaluation) + Type: NESTED + +[180] WRONG_TABLE | DB: employee_hire_evaluation | EX: ✗ + Q : Which shop has the most employees? Give me the shop name + Pred: SELECT T2.Name FROM employee AS T1 JOIN shop AS T2 ON T1.Employee_ID = T2.Employee_ID GROUP BY T2.Name ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[181] WRONG_TABLE | DB: employee_hire_evaluation | EX: ✗ + Q : Which shops run with no employees? Find the shop names + Pred: SELECT name FROM shop WHERE NOT shop_id IN (SELECT shop_id FROM employee) + Gold: SELECT name FROM shop WHERE NOT shop_id IN (SELECT shop_id FROM hiring) + Type: NESTED + +[182] WRONG_COLUMNS | DB: employee_hire_evaluation | EX: ✗ + Q : Find the number of employees hired in each shop; show the shop name as well + Pred: SELECT T2.Name, COUNT(*) FROM hiring AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID + Gold: SELECT COUNT(*), t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t2.name + Type: JOIN, GROUP_BY, AGGREGATION + +[183] WRONG_TABLE | DB: employee_hire_evaluation | EX: ✗ + Q : For each shop, return the number of employees working there and the name of the shop + Pred: SELECT T2.Name, COUNT(*) FROM employee AS T1 JOIN shop AS T2 ON T1.Employee_ID = T2.Employee_ID GROUP BY T2.Name + Gold: SELECT COUNT(*), t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t2.name + Type: JOIN, GROUP_BY, AGGREGATION + +[184] OTHER | DB: employee_hire_evaluation | EX: ✗ + Q : Which district has both stores with less than 3000 products and stores with more than 10000 products + Pred: SELECT District FROM shop WHERE Number_Products 3000 INTERSECT SELECT District FROM shop WHERE Number_Products > 10000 + Gold: SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000 + Type: SIMPLE + +[185] OTHER | DB: employee_hire_evaluation | EX: ✗ + Q : Find the districts in which there are both shops selling less than 3000 products and shops selling more than 10000 products + Pred: SELECT District FROM shop WHERE Number_Products 3000 INTERSECT SELECT District FROM shop WHERE Number_Products > 10000 + Gold: SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000 + Type: SIMPLE + +[186] EXTRA_JOIN | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : Return the names and template ids for documents that contain the letter w in their description + Pred: SELECT T1.document_name, T1.template_id FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id = T2.template_id WHERE T1.document_description LIKE '%w%' + Gold: SELECT document_name, template_id FROM Documents WHERE Document_Description LIKE "%w%" + Type: SIMPLE + +[187] EXTRA_JOIN | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What is the document id, template id and description for document named "Robbin CV" + Pred: SELECT T1.document_id, T2.template_id, T1.document_description FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id = T2.template_id WHERE T1.document_name = "Robbin CV" + Gold: SELECT document_id, template_id, Document_Description FROM Documents WHERE document_name = "Robbin CV" + Type: SIMPLE + +[188] EXTRA_JOIN | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Return the document id, template id, and description for the document with the name Robbin CV + Pred: SELECT T1.document_id, T2.template_id, T2.document_description FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id = T2.template_id WHERE T1.document_name = "Robbin CV" + Gold: SELECT document_id, template_id, Document_Description FROM Documents WHERE document_name = "Robbin CV" + Type: SIMPLE + +[189] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Count the number of different templates used for documents + Pred: SELECT COUNT(DISTINCT T1.template_id) FROM templates AS T1 JOIN documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id + Gold: SELECT COUNT(DISTINCT template_id) FROM Documents + Type: AGGREGATION + +[190] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What are all different template ids used for documents, and how many times were each of them used + Pred: SELECT T1.template_id, COUNT(*) FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id + Gold: SELECT template_id, COUNT(*) FROM Documents GROUP BY template_id + Type: GROUP_BY, AGGREGATION + +[191] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : What is the id and type code for the template used by the most documents + Pred: SELECT T1.template_id, T2.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[192] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Return the id and type code of the template that is used for the greatest number of documents + Pred: SELECT T1.template_id, T2.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[193] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : Show ids for all templates that are used by more than one document + Pred: SELECT T1.template_id FROM templates AS T1 JOIN documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id HAVING COUNT(*) > 1 + Gold: SELECT template_id FROM Documents GROUP BY template_id HAVING COUNT(*) > 1 + Type: GROUP_BY, HAVING, AGGREGATION + +[194] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What are the template ids of any templates used in more than a single document + Pred: SELECT T1.template_id FROM templates AS T1 JOIN documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id HAVING COUNT(*) > 1 + Gold: SELECT template_id FROM Documents GROUP BY template_id HAVING COUNT(*) > 1 + Type: GROUP_BY, HAVING, AGGREGATION + +[195] OTHER | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Show all template type codes with less than three templates + Pred: SELECT template_type_code FROM templates GROUP BY template_type_code HAVING COUNT(*) 3 + Gold: SELECT template_type_code FROM Templates GROUP BY template_type_code HAVING COUNT(*) < 3 + Type: GROUP_BY, HAVING, AGGREGATION + +[196] OTHER | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : What are the codes of template types that have fewer than 3 templates + Pred: SELECT template_type_code FROM templates GROUP BY template_type_code HAVING COUNT(*) 3 + Gold: SELECT template_type_code FROM Templates GROUP BY template_type_code HAVING COUNT(*) < 3 + Type: GROUP_BY, HAVING, AGGREGATION + +[197] WRONG_COLUMNS | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What the smallest version number and its template type code + Pred: SELECT version_number, template_type_code FROM templates ORDER BY version_number LIMIT 1 + Gold: SELECT MIN(Version_Number), template_type_code FROM Templates + Type: AGGREGATION + +[198] WRONG_COLUMNS | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : Return the lowest version number, along with its corresponding template type code + Pred: SELECT version_number, template_type_code FROM templates ORDER BY version_number LIMIT 1 + Gold: SELECT MIN(Version_Number), template_type_code FROM Templates + Type: AGGREGATION + +[199] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : Return the template type code of the template that is used by a document named Data base + Pred: SELECT T2.template_type_code FROM documents AS T1 JOIN templates AS T2 ON T1.template_id = T2.template_id WHERE T1.document_name = "Data base" + Gold: 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" + Type: JOIN + +[200] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : Show all document names using templates with template type code BK + Pred: SELECT T1.document_name FROM documents AS T1 JOIN templates AS T2 ON T1.template_id = T2.template_id WHERE T2.template_type_code = "BK" + Gold: 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" + Type: JOIN + +[201] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What are the names of documents that use templates with the code BK + Pred: SELECT T1.document_name FROM documents AS T1 JOIN templates AS T2 ON T1.template_id = T2.template_id WHERE T2.template_type_code = "BK" + Gold: 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" + Type: JOIN + +[202] MISSING_JOIN | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Show all template type codes and the number of documents using each type + Pred: SELECT template_type_code, COUNT(*) FROM Templates GROUP BY template_type_code + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[203] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : What are the different template type codes, and how many documents use each type + Pred: SELECT T1.template_type_code, COUNT(*) FROM Ref_Template_Types AS T1 JOIN templates AS T2 ON T1.template_type_code = T2.template_type_code GROUP BY T1.template_type_code + Gold: 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 + Type: JOIN, GROUP_BY, AGGREGATION + +[204] MISSING_JOIN | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Which template type code is used by most number of documents + Pred: SELECT template_type_code FROM templates GROUP BY template_type_code ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[205] MISSING_JOIN | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Return the code of the template type that is most commonly used in documents + Pred: SELECT template_type_code FROM templates GROUP BY template_type_code ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[206] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Show all template type codes that are not used by any document + Pred: SELECT template_type_code FROM Templates EXCEPT SELECT template_type_code FROM Documents + Gold: 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 + Type: JOIN + +[207] MISSING_JOIN | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : What are the codes of template types that are not used for any document + Pred: SELECT template_type_code FROM Templates EXCEPT SELECT template_type_code FROM Templates + Gold: 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 + Type: JOIN + +[208] EXTRA_JOIN | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : What is the template type descriptions for template type code "AD" + Pred: SELECT T1.Template_Type_Description FROM Ref_Template_Types AS T1 JOIN templates AS T2 ON T1.Template_Type_Code = T2.Template_Type_Code WHERE T2.Template_Type_Code = "AD" + Gold: SELECT template_type_description FROM Ref_template_types WHERE template_type_code = "AD" + Type: SIMPLE + +[209] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : What are the distinct template type descriptions for the templates ever used by any document + Pred: SELECT DISTINCT T2.template_type_description FROM documents AS T1 JOIN templates AS T2 ON T1.template_id = T2.template_id + Gold: 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 + Type: JOIN + +[210] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Return the different descriptions for templates that have been used in a document + Pred: SELECT DISTINCT T2.template_description FROM documents AS T1 JOIN templates AS T2 ON T1.template_id = T2.template_id + Gold: 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 + Type: JOIN + +[211] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What are the template ids with template type description "Presentation" + Pred: SELECT T1.template_id FROM templates AS T1 JOIN Ref_Template_Types AS T2 ON T1.template_type_code = T2.template_type_code WHERE T2.template_type_description = "Presentation" + Gold: 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" + Type: JOIN + +[212] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Return the ids corresponding to templates with the description 'Presentation' + Pred: SELECT template_id FROM templates WHERE template_type_description = 'Presentation' + Gold: 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" + Type: JOIN + +[213] OTHER | DB: cre_Doc_Template_Mgt | EX: ✗ + Q : Show paragraph details for paragraph with text 'Korea ' + Pred: SELECT other_details FROM paragraphs WHERE paragraph_text = 'Korea ' + Gold: SELECT other_details FROM paragraphs WHERE paragraph_text LIKE 'korea' + Type: SIMPLE + +[214] OTHER | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What are the details for the paragraph that includes the text 'Korea ' + Pred: SELECT other_details FROM paragraphs WHERE paragraph_text LIKE '%Korea%' + Gold: SELECT other_details FROM paragraphs WHERE paragraph_text LIKE 'korea' + Type: SIMPLE + +[215] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What is the document id and name with greatest number of paragraphs + Pred: SELECT T1.document_id, T1.document_name FROM Documents AS T1 JOIN paragraphs AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[216] WRONG_TABLE | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : Return the id and name of the document with the most paragraphs + Pred: SELECT T1.document_id, T1.document_name FROM Documents AS T1 JOIN paragraphs AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[217] OTHER | DB: cre_Doc_Template_Mgt | EX: ✓ + Q : What are the ids of documents that contain the paragraph text 'Brazil' and 'Ireland' + Pred: SELECT document_id FROM paragraphs WHERE paragraph_text LIKE '%Brazil%' INTERSECT SELECT document_id FROM paragraphs WHERE paragraph_text LIKE '%Ireland%' + Gold: SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Brazil' INTERSECT SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Ireland' + Type: SIMPLE + +[218] OTHER | DB: course_teach | EX: ✗ + Q : List the name of teachers whose hometown is not `` Little Lever Urban District '' + Pred: SELECT Name FROM teacher WHERE Hometown Little Lever Urban District '' + Gold: SELECT name FROM teacher WHERE hometown <> "little lever urban district" + Type: SIMPLE + +[219] OTHER | DB: course_teach | EX: ✗ + Q : What are the names of the teachers whose hometown is not `` Little Lever Urban District '' + Pred: SELECT Name FROM teacher WHERE Hometown Little Lever Urban District '' + Gold: SELECT name FROM teacher WHERE hometown <> "little lever urban district" + Type: SIMPLE + +[220] WRONG_COLUMNS | DB: course_teach | EX: ✗ + Q : Show names of teachers and the courses they are arranged to teach + Pred: SELECT T2.Name, T1.Course FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID + Gold: SELECT T3.Name, T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID + Type: JOIN + +[221] WRONG_COLUMNS | DB: course_teach | EX: ✗ + Q : What is the name of each teacher and what course they teach + Pred: SELECT T2.Name, T1.course FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.teacher_id = T2.teacher_id + Gold: SELECT T3.Name, T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID + Type: JOIN + +[222] WRONG_COLUMNS | DB: course_teach | EX: ✗ + Q : Show names of teachers and the courses they are arranged to teach in ascending alphabetical order of the teacher's name + Pred: SELECT T3.Name, T2.course_id FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.teacher_id = T2.teacher_id JOIN course AS T3 ON T1.course_id = T3.course_id ORDER BY T2.Name ASC + Gold: SELECT T3.Name, T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID ORDER BY T3.Name + Type: JOIN, ORDER_BY + +[223] WRONG_COLUMNS | DB: course_teach | EX: ✗ + Q : What are the names of the teachers and the courses they teach in ascending alphabetical order by the name of the teacher + Pred: SELECT T2.Name, T1.Course FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID ORDER BY T2.Name ASC + Gold: SELECT T3.Name, T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID ORDER BY T3.Name + Type: JOIN, ORDER_BY + +[224] OTHER | DB: course_teach | EX: ✗ + Q : Show the name of the teacher for the math course + Pred: SELECT T3.Name FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.teacher_id = T2.teacher_id JOIN course AS T3 ON T1.course_id = T3.course_id WHERE T3.course = 'Math' + Gold: SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" + Type: JOIN + +[225] WRONG_COLUMNS | DB: course_teach | EX: ✗ + Q : What are the names of the people who teach math courses + Pred: SELECT T2.Name FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.teacher_id = T2.teacher_id WHERE T1.grade = 1 + Gold: SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" + Type: JOIN + +[226] OTHER | DB: museum_visit | EX: ✗ + Q : How many visitors below age 30 are there + Pred: SELECT COUNT(*) FROM visitor WHERE age 30 + Gold: SELECT COUNT(*) FROM visitor WHERE age < 30 + Type: AGGREGATION + +[227] OTHER | DB: museum_visit | EX: ✗ + Q : Find the names of the visitors whose membership level is higher than 4, and order the results by the level from high to low + Pred: SELECT name FROM visitor WHERE level_of_membership > 4 ORDER BY level_of_membership + Gold: SELECT name FROM visitor WHERE Level_of_membership > 4 ORDER BY Level_of_membership DESC + Type: ORDER_BY + +[228] EXTRA_JOIN | DB: museum_visit | EX: ✗ + Q : What is the average age of the visitors whose membership level is not higher than 4 + Pred: SELECT AVG(T1.age) FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id WHERE T2.level_of_membership 4 + Gold: SELECT AVG(age) FROM visitor WHERE Level_of_membership <= 4 + Type: AGGREGATION + +[229] OTHER | DB: museum_visit | EX: ✗ + Q : Find the name and membership level of the visitors whose membership level is higher than 4, and sort by their age from old to young + Pred: SELECT name, level_of_membership FROM visitor WHERE level_of_membership > 4 ORDER BY age + Gold: SELECT name, Level_of_membership FROM visitor WHERE Level_of_membership > 4 ORDER BY age DESC + Type: ORDER_BY + +[230] EXTRA_JOIN | DB: museum_visit | EX: ✗ + Q : Find the id and name of the museum that has the most staff members + Pred: SELECT T1.museum_id, T1.name FROM museum AS T1 JOIN visitor AS T2 ON T1.museum_id = T2.museum_id GROUP BY T1.museum_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT museum_id, name FROM museum ORDER BY num_of_staff DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[231] OTHER | DB: museum_visit | EX: ✗ + Q : Find the average number of staff working for the museums that were open before 2009 + Pred: SELECT AVG(num_of_staff) FROM museum WHERE open_year 2009 + Gold: SELECT AVG(num_of_staff) FROM museum WHERE open_year < 2009 + Type: AGGREGATION + +[232] WRONG_COLUMNS | DB: museum_visit | EX: ✗ + Q : What are the opening year and staff number of the museum named Plaza Museum + Pred: SELECT open_year, num_of_staff FROM museum WHERE name = 'Plaza Museum' + Gold: SELECT Num_of_Staff, Open_Year FROM museum WHERE name = 'Plaza Museum' + Type: SIMPLE + +[233] MISSING_GROUP_BY | DB: museum_visit | EX: ✗ + Q : What are the id, name and membership level of visitors who have spent the largest amount of money in total in all museum tickets + Pred: SELECT T1.id, T1.name, T1.level_of_membership FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id ORDER BY SUM(total_spent) DESC LIMIT 1 + Gold: SELECT t2.visitor_id, t1.name, t1.Level_of_membership FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t2.visitor_id ORDER BY SUM(t2.Total_spent) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[234] WRONG_TABLE | DB: museum_visit | EX: ✗ + Q : What are the id and name of the museum visited most times + Pred: SELECT T1.id, T2.name FROM visit AS T1 JOIN museum AS T2 ON T1.museum_id = T2.museum_id GROUP BY T1.museum_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT t2.Museum_ID, t1.name FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID GROUP BY t2.Museum_ID ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[235] OTHER | DB: museum_visit | EX: ✓ + Q : Find the name and age of the visitor who bought the most tickets at once + Pred: SELECT T1.name, T1.age FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id GROUP BY T2.visitor_id ORDER BY SUM(num_of_ticket) DESC LIMIT 1 + Gold: SELECT t1.name, t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id ORDER BY t2.num_of_ticket DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[236] WRONG_TABLE | DB: museum_visit | EX: ✓ + Q : What is the total ticket expense of the visitors whose membership level is 1 + Pred: SELECT SUM(total_spent) FROM visit AS T1 JOIN visitor AS T2 ON T1.visitor_id = T2.id WHERE T2.level_of_membership = 1 + Gold: SELECT SUM(t2.Total_spent) FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id WHERE t1.Level_of_membership = 1 + Type: JOIN, AGGREGATION + +[237] OTHER | DB: museum_visit | EX: ✗ + Q : What is the name of the visitor who visited both a museum opened before 2009 and a museum opened after 2011 + Pred: SELECT T1.name FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id JOIN museum AS T3 ON T2.museum_id = T3.museum_id WHERE T3.open_year 2009 INTERSECT SELECT T1.name FROM visitor AS T1 JOIN visit AS T2 ON T1.id = T2.visitor_id WHERE T3.open_year > 2011 + Gold: SELECT t1.name FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id JOIN museum AS t3 ON t3.Museum_ID = t2.Museum_ID WHERE t3.open_year < 2009 INTERSECT SELECT t1.name FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id JOIN museum AS t3 ON t3.Museum_ID = t2.Museum_ID WHERE t3.open_year > 2011 + Type: JOIN + +[238] WRONG_TABLE | DB: museum_visit | EX: ✗ + Q : Find the number of visitors who did not visit any museum opened after 2010 + Pred: SELECT COUNT(*) FROM visitor WHERE NOT id IN (SELECT visitor_id FROM visit WHERE open_year > 2010) + Gold: SELECT COUNT(*) FROM visitor WHERE NOT id IN (SELECT t2.visitor_id FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID WHERE t1.open_year > 2010) + Type: JOIN, NESTED, AGGREGATION + +[239] OTHER | DB: museum_visit | EX: ✗ + Q : How many museums were opened after 2013 or before 2008 + Pred: SELECT COUNT(*) FROM museum WHERE open_year > 2013 OR open_year 2008 + Gold: SELECT COUNT(*) FROM museum WHERE open_year > 2013 OR open_year < 2008 + Type: AGGREGATION + +[240] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : Find the highest rank of losers in all matches + Pred: SELECT T2.loser_rank FROM matches AS T1 JOIN players AS T2 ON T1.loser_id = T2.player_id GROUP BY T1.loser_rank ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT MIN(loser_rank) FROM matches + Type: AGGREGATION + +[241] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : What is the best rank of losers across all matches + Pred: SELECT best_of FROM matches WHERE loser_rank = (SELECT MAX(loser_rank) FROM matches) + Gold: SELECT MIN(loser_rank) FROM matches + Type: AGGREGATION + +[242] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What are the names of tournaments that have more than 10 matches + Pred: SELECT T2.Tournament_Name FROM matches AS T1 JOIN tourneys AS T2 ON T1.Tournament_ID = T2.Tournament_ID GROUP BY T1.Tournament_ID HAVING COUNT(*) > 10 + Gold: SELECT tourney_name FROM matches GROUP BY tourney_name HAVING COUNT(*) > 10 + Type: GROUP_BY, HAVING, AGGREGATION + +[243] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : List the names of all winners who played in both 2013 and 2016 + Pred: SELECT T2.Winner_name FROM matches AS T1 JOIN winners AS T2 ON T1.winner_id = T2.player_id WHERE T1.year = 2013 INTERSECT SELECT T2.Winner_name FROM matches AS T1 JOIN winners AS T2 ON T1.winner_id = T2.winner_id WHERE T1.year = 2016 + Gold: SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 + Type: SIMPLE + +[244] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What are the names of players who won in both 2013 and 2016 + Pred: SELECT T2.winner_name FROM matches AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id WHERE T1.year = 2013 INTERSECT SELECT T2.winner_name FROM matches AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id WHERE T1.year = 2016 + Gold: SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 + Type: SIMPLE + +[245] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : What are the country code and first name of the players who won in both tourney WTA Championships and Australian Open + Pred: SELECT T1.country_code, T2.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id JOIN tourneys AS T3 ON T2.tournament_id = T3.winner_id WHERE T3.Tournament_Name = "WTA Championships" INTERSECT SELECT T1.country_code, T2.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.win + Gold: SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' + Type: JOIN + +[246] WRONG_TABLE | DB: wta_1 | EX: ✗ + Q : What are the first names and country codes for players who won both the WTA Championships and the Australian Open + Pred: SELECT T2.first_name, T2.country_code FROM matches AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id WHERE T1.winner_entry = 'WTA Championships' INTERSECT SELECT T2.first_name, T2.country_code FROM matches AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id WHERE T1.winner_entry = 'Australian Open' + Gold: SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' + Type: JOIN + +[247] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : Find the first name and country code of the oldest player + Pred: SELECT T1.first_name, T1.country_code FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.player_id ORDER BY T2.winner_age DESC LIMIT 1 + Gold: SELECT first_name, country_code FROM players ORDER BY birth_date LIMIT 1 + Type: ORDER_BY, LIMIT + +[248] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What is the first name and country code of the oldest player + Pred: SELECT T1.first_name, T1.country_code FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.player_id ORDER BY T2.winner_age DESC LIMIT 1 + Gold: SELECT first_name, country_code FROM players ORDER BY birth_date LIMIT 1 + Type: ORDER_BY, LIMIT + +[249] OTHER | DB: wta_1 | EX: ✗ + Q : List the first and last name of all players who are left / L hand in the order of birth date + Pred: SELECT first_name, last_name FROM players WHERE hand = "left" ORDER BY birth_date + Gold: SELECT first_name, last_name FROM players WHERE hand = 'L' ORDER BY birth_date + Type: ORDER_BY + +[250] OTHER | DB: wta_1 | EX: ✗ + Q : What are the full names of all left handed players, in order of birth date + Pred: SELECT first_name, last_name FROM players WHERE hand = "left" ORDER BY birth_date + Gold: SELECT first_name, last_name FROM players WHERE hand = 'L' ORDER BY birth_date + Type: ORDER_BY + +[251] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : Find the first name and country code of the player who did the most number of tours + Pred: SELECT T1.first_name, T1.country_code FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T2.player_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id ORDER BY T2.tours DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[252] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : What is the first name and country code of the player with the most tours + Pred: SELECT T1.first_name, T1.country_code FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T2.player_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.country_code, T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id ORDER BY T2.tours DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[253] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : Find the name and rank points of the winner who won the most times + Pred: SELECT T2.winner_name, T1.winner_rank_points FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id GROUP BY T1.winner_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT winner_name, winner_rank_points FROM matches GROUP BY winner_name ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[254] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What is the name of the winner who has won the most matches, and how many rank points does this player have + Pred: SELECT T2.winner_name, COUNT(*) FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id GROUP BY T1.winner_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT winner_name, winner_rank_points FROM matches GROUP BY winner_name ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[255] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : Find the name of the winner who has the highest rank points and participated in the Australian Open tourney + Pred: SELECT T2.Winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.Tournament_Level = "Australian Open" ORDER BY T2.winner_rank_points DESC LIMIT 1 + Gold: SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[256] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What is the name of the winner with the most rank points who participated in the Australian Open tournament + Pred: SELECT T2.winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.Tournament_Name = "Australian Open" GROUP BY T2.winner_rank_points ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[257] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : find the names of loser and winner who played in the match with greatest number of minutes + Pred: SELECT T2.loser_name, T2.winner_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id ORDER BY T1.minutes DESC LIMIT 1 + Gold: SELECT winner_name, loser_name FROM matches ORDER BY minutes DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[258] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What are the names of the winner and loser who played in the longest match + Pred: SELECT T2.winner_name, T2.loser_name FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id ORDER BY T1.year DESC LIMIT 1 + Gold: SELECT winner_name, loser_name FROM matches ORDER BY minutes DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[259] WRONG_TABLE | DB: wta_1 | EX: ✗ + Q : Find the average ranking for each player and their first name + Pred: SELECT T2.first_name, AVG(T1.ranking_points) FROM rankings AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id GROUP BY T2.first_name + Gold: SELECT AVG(ranking), T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name + Type: JOIN, GROUP_BY, AGGREGATION + +[260] WRONG_TABLE | DB: wta_1 | EX: ✗ + Q : What are the first names of all players, and their average rankings + Pred: SELECT T2.first_name, AVG(T1.ranking_points) FROM rankings AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id GROUP BY T2.first_name + Gold: SELECT AVG(ranking), T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name + Type: JOIN, GROUP_BY, AGGREGATION + +[261] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : Find the total ranking points for each player and their first name + Pred: SELECT SUM(ranking_points), first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.player_id + Gold: SELECT SUM(ranking_points), T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name + Type: JOIN, GROUP_BY, AGGREGATION + +[262] WRONG_TABLE | DB: wta_1 | EX: ✗ + Q : What are the first names of all players, and their total ranking points + Pred: SELECT T2.first_name, SUM(T1.ranking_points) FROM rankings AS T1 JOIN players AS T2 ON T1.player_id = T2.player_id GROUP BY T2.first_name + Gold: SELECT SUM(ranking_points), T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name + Type: JOIN, GROUP_BY, AGGREGATION + +[263] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : How many players are from each country + Pred: SELECT country_code, COUNT(*) FROM players GROUP BY country_code + Gold: SELECT COUNT(*), country_code FROM players GROUP BY country_code + Type: GROUP_BY, AGGREGATION + +[264] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : Find the number of matches happened in each year + Pred: SELECT YEAR, COUNT(*) FROM matches GROUP BY YEAR + Gold: SELECT COUNT(*), YEAR FROM matches GROUP BY YEAR + Type: GROUP_BY, AGGREGATION + +[265] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : How many matches were played in each year + Pred: SELECT YEAR, COUNT(*) FROM matches GROUP BY YEAR + Gold: SELECT COUNT(*), YEAR FROM matches GROUP BY YEAR + Type: GROUP_BY, AGGREGATION + +[266] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : Find the name and rank of the 3 youngest winners across all matches + Pred: SELECT T2.winner_name, T2.winner_rank FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id ORDER BY T1.winner_age LIMIT 3 + Gold: SELECT DISTINCT winner_name, winner_rank FROM matches ORDER BY winner_age LIMIT 3 + Type: ORDER_BY, LIMIT + +[267] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : What are the names and ranks of the three youngest winners across all matches + Pred: SELECT T2.winner_name, T2.winner_rank FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id ORDER BY T1.winner_age LIMIT 3 + Gold: SELECT DISTINCT winner_name, winner_rank FROM matches ORDER BY winner_age LIMIT 3 + Type: ORDER_BY, LIMIT + +[268] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : How many different winners both participated in the WTA Championships and were left handed + Pred: SELECT COUNT(DISTINCT T2.winner_name) FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T1.Tournament_Name = "WTA Championships" AND T2.winner_hand = "left" + Gold: SELECT COUNT(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' + Type: AGGREGATION + +[269] EXTRA_JOIN | DB: wta_1 | EX: ✗ + Q : Find the number of left handed winners who participated in the WTA Championships + Pred: SELECT COUNT(*) FROM matches AS T1 JOIN players AS T2 ON T1.winner_id = T2.player_id WHERE T2.winner_hand = "left" AND T1.tournament_name = "WTA Championships" + Gold: SELECT COUNT(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' + Type: AGGREGATION + +[270] OTHER | DB: wta_1 | EX: ✗ + Q : What is the first name, country code, and birth date of the player with the most winner rank points across all matches + Pred: SELECT T1.first_name, T1.country_code, T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id GROUP BY T2.winner_rank_points ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.first_name, T1.country_code, T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id ORDER BY T2.winner_rank_points DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[271] WRONG_COLUMNS | DB: wta_1 | EX: ✗ + Q : How many players are there for each hand type + Pred: SELECT hand, COUNT(*) FROM players GROUP BY hand + Gold: SELECT COUNT(*), hand FROM players GROUP BY hand + Type: GROUP_BY, AGGREGATION + +[272] OTHER | DB: battle_death | EX: ✗ + Q : How many ships ended up being 'Captured' + Pred: SELECT COUNT(*) FROM ship WHERE result = 'Captured' + Gold: SELECT COUNT(*) FROM ship WHERE disposition_of_ship = 'Captured' + Type: AGGREGATION + +[273] WRONG_COLUMNS | DB: battle_death | EX: ✗ + Q : List the name, date and result of each battle + Pred: SELECT name, date, RESULT FROM battle + Gold: SELECT name, date FROM battle + Type: SIMPLE + +[274] EXTRA_JOIN | DB: battle_death | EX: ✓ + Q : What is maximum and minimum death toll caused each time + Pred: SELECT MAX(T1.Killed), MIN(T1.Killed) FROM death AS T1 JOIN ship AS T2 ON T1.caused_by_ship_id = T2.id + Gold: SELECT MAX(killed), MIN(killed) FROM death + Type: AGGREGATION + +[275] WRONG_COLUMNS | DB: battle_death | EX: ✗ + Q : What is the average number of injuries caused each time + Pred: SELECT AVG(injured), AVG(injured) FROM death GROUP BY injury + Gold: SELECT AVG(injured) FROM death + Type: AGGREGATION + +[276] WRONG_COLUMNS | DB: battle_death | EX: ✗ + Q : What are the death and injury situations caused by the ship with tonnage 't' + Pred: SELECT T1.death, T1.injury FROM death AS T1 JOIN ship AS T2 ON T1.caused_by_ship_id = T2.id WHERE T2.tonnage = 't' + Gold: SELECT T1.killed, T1.injured FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id WHERE T2.tonnage = 't' + Type: JOIN + +[277] OTHER | DB: battle_death | EX: ✓ + Q : What are the name and results of the battles when the bulgarian commander is not 'Boril' + Pred: SELECT name, result FROM battle WHERE bulgarian_commander > 'Boril' + Gold: SELECT name, RESULT FROM battle WHERE bulgarian_commander <> 'Boril' + Type: SIMPLE + +[278] OTHER | DB: battle_death | EX: ✗ + Q : What are the ids and names of the battles that led to more than 10 people killed in total + Pred: SELECT T1.id, T1.Name FROM battle AS T1 JOIN death AS T2 ON T1.id = T2.caused_by_ship_id GROUP BY T1.id HAVING SUM(T2.Killed) > 10 + Gold: SELECT T1.id, T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle JOIN death AS T3 ON T2.id = T3.caused_by_ship_id GROUP BY T1.id HAVING SUM(T3.killed) > 10 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[279] WRONG_TABLE | DB: battle_death | EX: ✗ + Q : What is the ship id and name that caused most total injuries + Pred: SELECT T1.id, T1.name FROM ship AS T1 JOIN death AS T2 ON T1.id = T2.caused_by_ship_id GROUP BY T1.id ORDER BY SUM(T2.injured) DESC LIMIT 1 + Gold: SELECT T2.id, T2.name FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id GROUP BY T2.id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[280] WRONG_COLUMNS | DB: battle_death | EX: ✓ + Q : What are the distinct battle names which are between bulgarian commander 'Kaloyan' and latin commander 'Baldwin I' + Pred: SELECT DISTINCT name FROM battle WHERE latin_commander = 'Baldwin I' AND bulgarian_commander = 'Kaloyan' + Gold: SELECT name FROM battle WHERE bulgarian_commander = 'Kaloyan' AND latin_commander = 'Baldwin I' + Type: SIMPLE + +[281] WRONG_COLUMNS | DB: battle_death | EX: ✓ + Q : How many battles did not lose any ship with tonnage '225' + Pred: SELECT COUNT(*) FROM battle WHERE NOT id IN (SELECT id FROM ship WHERE Tonnage = 225) + Gold: SELECT COUNT(*) FROM battle WHERE NOT id IN (SELECT lost_in_battle FROM ship WHERE tonnage = '225') + Type: NESTED, AGGREGATION + +[282] WRONG_TABLE | DB: battle_death | EX: ✓ + Q : Show names, results and bulgarian commanders of the battles with no ships lost in the 'English Channel' + Pred: SELECT name, result, bulgarian_commander FROM battle WHERE NOT id IN (SELECT lost_in_battle FROM ship WHERE LOCATION = 'English Channel') + Gold: SELECT name, RESULT, bulgarian_commander FROM battle EXCEPT SELECT T1.name, T1.result, T1.bulgarian_commander FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.location = 'English Channel' + Type: JOIN + +[283] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : what are all the addresses including line 1 and line 2 + Pred: SELECT address_details FROM addresses WHERE line_1 AND line_2 overlap + Gold: SELECT line_1, line_2 FROM addresses + Type: SIMPLE + +[284] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What is the first and second line for all addresses + Pred: SELECT line_1, line_2, line_3 FROM Addresses + Gold: SELECT line_1, line_2 FROM addresses + Type: SIMPLE + +[285] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : How many different degrees are offered + Pred: SELECT COUNT(DISTINCT degree_program_id) FROM degree_programs + Gold: SELECT COUNT(DISTINCT degree_summary_name) FROM Degree_Programs + Type: AGGREGATION + +[286] OTHER | DB: student_transcripts_tracking | EX: ✓ + Q : How many degrees does the engineering department offer + Pred: SELECT COUNT(*) FROM departments AS T1 JOIN degree_programs AS T2 ON T1.department_id = T2.department_id WHERE T1.department_name = "engineering" + Gold: SELECT COUNT(*) FROM Departments AS T1 JOIN Degree_Programs AS T2 ON T1.department_id = T2.department_id WHERE T1.department_name = 'engineer' + Type: JOIN, AGGREGATION + +[287] OTHER | DB: student_transcripts_tracking | EX: ✓ + Q : How many degrees does the engineering department have + Pred: SELECT COUNT(*) FROM departments AS T1 JOIN degree_programs AS T2 ON T1.department_id = T2.department_id WHERE T1.department_name = "engineering" + Gold: SELECT COUNT(*) FROM Departments AS T1 JOIN Degree_Programs AS T2 ON T1.department_id = T2.department_id WHERE T1.department_name = 'engineer' + Type: JOIN, AGGREGATION + +[288] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : What are the names and id of courses having at most 2 sections + Pred: SELECT T1.course_name, T1.course_id FROM Courses AS T1 JOIN Sections AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id HAVING COUNT(*) = 2 + Gold: SELECT T1.course_name, T1.course_id FROM Courses AS T1 JOIN Sections AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id HAVING COUNT(*) <= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[289] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : What are the names and ids of every course with less than 2 sections + Pred: SELECT T1.course_name, T1.course_id FROM Courses AS T1 JOIN Sections AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id HAVING COUNT(*) 2 + Gold: SELECT T1.course_name, T1.course_id FROM Courses AS T1 JOIN Sections AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id HAVING COUNT(*) <= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[290] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : List the section_name in reversed lexicographical order + Pred: SELECT section_name FROM sections ORDER BY section_name + Gold: SELECT section_name FROM Sections ORDER BY section_name DESC + Type: ORDER_BY + +[291] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : What are the names of the sections in reverse alphabetical order + Pred: SELECT section_name FROM sections ORDER BY section_name + Gold: SELECT section_name FROM Sections ORDER BY section_name DESC + Type: ORDER_BY + +[292] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : What is the description of the department whose name has the substring the computer + Pred: SELECT department_description FROM departments WHERE department_name LIKE '%substring%' + Gold: SELECT department_description FROM Departments WHERE department_name LIKE '%computer%' + Type: SIMPLE + +[293] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : Who are enrolled in 2 degree programs in one semester? List the first name, middle name and last name and the id + Pred: SELECT T1.first_name, T1.middle_name, T1.last_name, T1.student_enrolment_id FROM Student_Enrolment AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id HAVING COUNT(*) = 2 + Gold: SELECT T1.first_name, T1.middle_name, T1.last_name, T1.student_id FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id HAVING COUNT(*) = 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[294] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : Who is enrolled in a Bachelor degree program? List the first name, middle name, last name + Pred: SELECT T1.first_name, T1.middle_name, T1.last_name FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id WHERE T2.degree_program_id = "Bachelor" + Gold: SELECT DISTINCT T1.first_name, T1.middle_name, T1.last_name FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id JOIN Degree_Programs AS T3 ON T2.degree_program_id = T3.degree_program_id WHERE T3.degree_summary_name = 'Bachelor' + Type: JOIN + +[295] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : What are the first, middle, and last names for everybody enrolled in a Bachelors program + Pred: SELECT T2.first_name, T2.middle_name, T2.last_name FROM Student_Enrolment AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id WHERE T1.degree_program_id = "Bachelors" + Gold: SELECT DISTINCT T1.first_name, T1.middle_name, T1.last_name FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id JOIN Degree_Programs AS T3 ON T2.degree_program_id = T3.degree_program_id WHERE T3.degree_summary_name = 'Bachelor' + Type: JOIN + +[296] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : Find the kind of program which most number of students are enrolled in + Pred: SELECT degree_program_id FROM student_enrolment GROUP BY degree_program_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.degree_summary_name FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_summary_name ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[297] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✓ + Q : Find the program which most number of students are enrolled in. List both the id and the summary + Pred: SELECT T1.degree_program_id, T2.degree_summary_name FROM Student_Enrolment AS T1 JOIN Degree_Programs AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_program_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.degree_program_id, T1.degree_summary_name FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_program_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[298] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✓ + Q : What is the program id and the summary of the degree that has the most students enrolled + Pred: SELECT T1.degree_program_id, T2.degree_summary_name FROM Student_Enrolment AS T1 JOIN Degree_Programs AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_program_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.degree_program_id, T1.degree_summary_name FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_program_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[299] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : Which student has enrolled for the most times in any program? List the id, first name, middle name, last name, the number of enrollments and student id + Pred: SELECT T1.student_id, T2.first_name, T2.middle_name, T2.last_name, COUNT(*) FROM Student_Enrolment AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.student_id, T1.first_name, T1.middle_name, T1.last_name, COUNT(*), T1.student_id FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[300] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What is the first, middle, and last name, along with the id and number of enrollments, for the student who enrolled the most in any program + Pred: SELECT T1.first_name, T1.middle_name, T1.last_name, T1.student_id, COUNT(*) FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.student_id, T1.first_name, T1.middle_name, T1.last_name, COUNT(*), T1.student_id FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[301] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What are all the course names of the courses which ever have students enrolled in + Pred: SELECT T1.course_name FROM Courses AS T1 JOIN Student_Enrolment_Courses AS T2 ON T1.course_id = T2.course_id + Gold: SELECT DISTINCT T1.course_name FROM Courses AS T1 JOIN Student_Enrolment_Courses AS T2 ON T1.course_id = T2.course_id + Type: JOIN + +[302] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What are the names of all courses that have some students enrolled + Pred: SELECT T1.course_name FROM courses AS T1 JOIN student_enrolment_courses AS T2 ON T1.course_id = T2.course_id + Gold: SELECT DISTINCT T1.course_name FROM Courses AS T1 JOIN Student_Enrolment_Courses AS T2 ON T1.course_id = T2.course_id + Type: JOIN + +[303] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : Find the last name of the students who currently live in the state of North Carolina but have not registered in any degree program + Pred: SELECT last_name FROM Students WHERE current_address_id IN (SELECT current_address_id FROM Addresses WHERE state_province_county = "North Carolina") EXCEPT SELECT T1.last_name FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id JOIN Degrees AS T3 ON T2.degree_program_id = T3.degree_summary + Gold: SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id + Type: JOIN + +[304] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What are the last name of the students who live in North Carolina but have not registered in any degree programs + Pred: SELECT last_name FROM Students WHERE city = "North Carolina" EXCEPT SELECT T1.last_name FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id JOIN Addresses AS T3 ON T2.address_id = T3.address_id WHERE T3.state_province_county = "North Carolina" + Gold: SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id + Type: JOIN + +[305] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : Show the date and id of the transcript with at least 2 course results + Pred: SELECT T1.transcript_date, T1.transcript_id FROM transcript_contents AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id GROUP BY T1.transcript_id HAVING COUNT(*) >= 2 + Gold: SELECT T2.transcript_date, T1.transcript_id FROM Transcript_Contents AS T1 JOIN Transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[306] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What is the date and id of the transcript with at least 2 courses listed + Pred: SELECT T1.transcript_date, T1.transcript_id FROM transcript_contents AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id GROUP BY T1.transcript_id HAVING COUNT(*) >= 2 + Gold: SELECT T2.transcript_date, T1.transcript_id FROM Transcript_Contents AS T1 JOIN Transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[307] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : What is the phone number of the man with the first name Timmothy and the last name Ward + Pred: SELECT cell_mobile_number FROM Addresses WHERE first_name = "Timmothy" AND last_name = "Ward" + Gold: SELECT cell_mobile_number FROM Students WHERE first_name = 'Timmothy' AND last_name = 'Ward' + Type: SIMPLE + +[308] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : Who is the first student to register? List the first name, middle name and last name + Pred: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered DESC LIMIT 1 + Gold: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1 + Type: ORDER_BY, LIMIT + +[309] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : What is the first, middle, and last name of the first student to register + Pred: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered DESC LIMIT 1 + Gold: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1 + Type: ORDER_BY, LIMIT + +[310] EXTRA_JOIN | DB: student_transcripts_tracking | EX: ✗ + Q : Who is the earliest graduate of the school? List the first name, middle name and last name + Pred: SELECT T1.first_name, T1.middle_name, T1.last_name FROM students AS T1 JOIN transcripts AS T2 ON T1.student_id = T2.student_id ORDER BY T1.date_first_registered ASC LIMIT 1 + Gold: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_left ASC LIMIT 1 + Type: ORDER_BY, LIMIT + +[311] OTHER | DB: student_transcripts_tracking | EX: ✓ + Q : What is the first, middle, and last name of the earliest school graduate + Pred: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1 + Gold: SELECT first_name, middle_name, last_name FROM Students ORDER BY date_left ASC LIMIT 1 + Type: ORDER_BY, LIMIT + +[312] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : Whose permanent address is different from his or her current address? List his or her first name + Pred: SELECT first_name FROM Students WHERE permanent_address_id > (SELECT current_address_id FROM Students) + Gold: SELECT first_name FROM Students WHERE current_address_id <> permanent_address_id + Type: SIMPLE + +[313] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What is the first name of the student whose permanent address is different from his or her current one + Pred: SELECT first_name FROM Students WHERE permanent_address_id > (SELECT current_address_id FROM Students) + Gold: SELECT first_name FROM Students WHERE current_address_id <> permanent_address_id + Type: SIMPLE + +[314] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : Which address holds the most number of students currently? List the address id and all lines + Pred: SELECT T1.address_id, T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.address_id GROUP BY T1.address_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.address_id, T1.line_1, T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[315] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : What is the id, line 1, and line 2 of the address with the most students + Pred: SELECT T1.address_id, T2.line_1, T2.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.address_id GROUP BY T1.address_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.address_id, T1.line_1, T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[316] MISSING_ORDER_BY | DB: student_transcripts_tracking | EX: ✗ + Q : When is the first transcript released? List the date and details + Pred: SELECT date_first_registered, other_details FROM transcripts + Gold: SELECT transcript_date, other_details FROM Transcripts ORDER BY transcript_date ASC LIMIT 1 + Type: ORDER_BY, LIMIT + +[317] MISSING_ORDER_BY | DB: student_transcripts_tracking | EX: ✗ + Q : What is the earliest date of a transcript release, and what details can you tell me + Pred: SELECT DISTINCT date_first_registered, other_details FROM transcripts + Gold: SELECT transcript_date, other_details FROM Transcripts ORDER BY transcript_date ASC LIMIT 1 + Type: ORDER_BY, LIMIT + +[318] MISSING_ORDER_BY | DB: student_transcripts_tracking | EX: ✗ + Q : What is the last transcript release date + Pred: SELECT last_transcript_date FROM transcripts + Gold: SELECT transcript_date FROM Transcripts ORDER BY transcript_date DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[319] MISSING_ORDER_BY | DB: student_transcripts_tracking | EX: ✗ + Q : When was the last transcript released + Pred: SELECT last_transcript_date FROM transcripts + Gold: SELECT transcript_date FROM Transcripts ORDER BY transcript_date DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[320] EXTRA_JOIN | DB: student_transcripts_tracking | EX: ✗ + Q : How many times at most can a course enrollment result show in different transcripts? Also show the course enrollment id + Pred: SELECT COUNT(*), T1.course_id FROM transcript_contents AS T1 JOIN student_enrolment AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT COUNT(*), student_course_id FROM Transcript_Contents GROUP BY student_course_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[321] EXTRA_JOIN | DB: student_transcripts_tracking | EX: ✗ + Q : What is the maximum number of times that a course shows up in different transcripts and what is that course's enrollment id + Pred: SELECT COUNT(*), T1.course_id FROM transcript_contents AS T1 JOIN student_enrolment_courses AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT COUNT(*), student_course_id FROM Transcript_Contents GROUP BY student_course_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[322] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : Show the date of the transcript which shows the least number of results, also list the id + Pred: SELECT T1.transcript_date, T1.transcript_id FROM transcript_contents AS T1 JOIN transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY COUNT(*) ASC LIMIT 1 + Gold: SELECT T2.transcript_date, T1.transcript_id FROM Transcript_Contents AS T1 JOIN Transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY COUNT(*) ASC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[323] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✓ + Q : What is the date and id of the transcript with the least number of results + Pred: SELECT T1.transcript_date, T1.transcript_id FROM transcripts AS T1 JOIN transcript_contents AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY COUNT(*) ASC LIMIT 1 + Gold: SELECT T2.transcript_date, T1.transcript_id FROM Transcript_Contents AS T1 JOIN Transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY COUNT(*) ASC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[324] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : Find the semester when both Master students and Bachelor students got enrolled in + Pred: SELECT T1.semester_name FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id WHERE T2.student_first_name = "Master" INTERSECT SELECT T1.semester_name FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id WHERE T2.student_first_name = + Gold: SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' + Type: JOIN + +[325] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : What is the id of the semester that had both Masters and Bachelors students enrolled + Pred: SELECT T1.semester_id FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id WHERE T2.degree_summary_name = "Masters" INTERSECT SELECT T1.semester_id FROM semesters AS T1 JOIN student_enrolment AS T2 ON T1.semester_id = T2.semester_id WHERE T2.degree_sum + Gold: SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' + Type: JOIN + +[326] WRONG_COLUMNS | DB: student_transcripts_tracking | EX: ✗ + Q : How many different addresses do the students currently live + Pred: SELECT COUNT(DISTINCT address_id) FROM Students + Gold: SELECT COUNT(DISTINCT current_address_id) FROM Students + Type: AGGREGATION + +[327] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : What are the different addresses that have students living there + Pred: SELECT DISTINCT T1.address_details FROM addresses AS T1 JOIN students AS T2 ON T1.address_id = T2.address_id + Gold: SELECT COUNT(DISTINCT current_address_id) FROM Students + Type: AGGREGATION + +[328] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : List all the student details in reversed lexicographical order + Pred: SELECT other_student_details FROM Students ORDER BY other_student_details + Gold: SELECT other_student_details FROM Students ORDER BY other_student_details DESC + Type: ORDER_BY + +[329] OTHER | DB: student_transcripts_tracking | EX: ✗ + Q : What other details can you tell me about students in reverse alphabetical order + Pred: SELECT other_student_details FROM Students ORDER BY other_student_details + Gold: SELECT other_student_details FROM Students ORDER BY other_student_details DESC + Type: ORDER_BY + +[330] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✗ + Q : Find the first name of the students who permanently live in the country Haiti or have the cell phone number 09700166582 + Pred: SELECT first_name FROM Students WHERE permanent_address_id IN (SELECT permanent_address_id FROM Addresses WHERE country = "Haiti") OR cell_mobile_number = "09700166582") + Gold: SELECT t1.first_name FROM students AS t1 JOIN addresses AS t2 ON t1.permanent_address_id = t2.address_id WHERE t2.country = 'haiti' OR t1.cell_mobile_number = '09700166582' + Type: JOIN + +[331] WRONG_TABLE | DB: student_transcripts_tracking | EX: ✓ + Q : What are the first names of the students who live in Haiti permanently or have the cell phone number 09700166582 + Pred: SELECT first_name FROM Students WHERE permanent_address_id IN (SELECT permanent_address_id FROM Addresses WHERE cell_mobile_number = '09700166582') + Gold: SELECT t1.first_name FROM students AS t1 JOIN addresses AS t2 ON t1.permanent_address_id = t2.address_id WHERE t2.country = 'haiti' OR t1.cell_mobile_number = '09700166582' + Type: JOIN + +[332] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : List all cartoon directed by "Ben Jones" + Pred: SELECT DISTINCT directed_by FROM cartoon WHERE directed_by = "Ben Jones" + Gold: SELECT Title FROM Cartoon WHERE Directed_by = "Ben Jones" + Type: SIMPLE + +[333] OTHER | DB: tvshow | EX: ✗ + Q : What is the name and directors of all the cartoons that are ordered by air date + Pred: SELECT title, directed_by FROM cartoon ORDER BY air_date + Gold: SELECT title, Directed_by FROM Cartoon ORDER BY Original_air_date + Type: ORDER_BY + +[334] WRONG_COLUMNS | DB: tvshow | EX: ✓ + Q : What is the content of TV Channel with serial name "Sky Radio" + Pred: SELECT DISTINCT content FROM tv_channel WHERE series_name = "Sky Radio" + Gold: SELECT Content FROM TV_Channel WHERE series_name = "Sky Radio" + Type: SIMPLE + +[335] WRONG_COLUMNS | DB: tvshow | EX: ✓ + Q : What is the Package Option of TV Channel with serial name "Sky Radio" + Pred: SELECT DISTINCT package_option FROM tv_channel WHERE series_name = "Sky Radio" + Gold: SELECT Package_Option FROM TV_Channel WHERE series_name = "Sky Radio" + Type: SIMPLE + +[336] WRONG_COLUMNS | DB: tvshow | EX: ✓ + Q : What are the Package Options of the TV Channels whose series names are Sky Radio + Pred: SELECT DISTINCT package_option FROM tv_channel WHERE series_name = "Sky Radio" + Gold: SELECT Package_Option FROM TV_Channel WHERE series_name = "Sky Radio" + Type: SIMPLE + +[337] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : For each language, list the number of TV Channels that use it + Pred: SELECT COUNT(*), language FROM tv_channel GROUP BY language + Gold: SELECT LANGUAGE, COUNT(*) FROM TV_Channel GROUP BY LANGUAGE + Type: GROUP_BY, AGGREGATION + +[338] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : What is the series name of the TV Channel that shows the cartoon "The Rise of the Blue Beetle" + Pred: SELECT T2.series_name FROM cartoon AS T1 JOIN tv_series AS T2 ON T1.channel = T2.id WHERE T1.title = "The Rise of the Blue Beetle" + Gold: SELECT T1.series_name FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T2.Title = "The Rise of the Blue Beetle!" + Type: JOIN + +[339] WRONG_TABLE | DB: tvshow | EX: ✓ + Q : List the title of all Cartoons showed on TV Channel with series name "Sky Radio" + Pred: SELECT T1.title FROM cartoon AS T1 JOIN tv_channel AS T2 ON T1.channel = T2.id WHERE T2.series_name = "Sky Radio" + Gold: SELECT T2.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio" + Type: JOIN + +[340] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : What is the title of all the cartools that are on the TV Channel with the series name "Sky Radio" + Pred: SELECT T1.title FROM cartoon AS T1 JOIN tv_series AS T2 ON T1.channel = T2.id WHERE T2.series_name = "Sky Radio" + Gold: SELECT T2.Title FROM TV_Channel AS T1 JOIN Cartoon AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio" + Type: JOIN + +[341] OTHER | DB: tvshow | EX: ✗ + Q : What are 3 most highly rated episodes in the TV series table and what were those ratings + Pred: SELECT episode, rating FROM tv_series GROUP BY episode ORDER BY COUNT(*) DESC LIMIT 3 + Gold: SELECT Episode, Rating FROM TV_series ORDER BY Rating DESC LIMIT 3 + Type: ORDER_BY, LIMIT + +[342] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : What is minimum and maximum share of TV series + Pred: SELECT MIN(share), MAX(share) FROM tv_series + Gold: SELECT MAX(SHARE), MIN(SHARE) FROM TV_series + Type: AGGREGATION + +[343] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : When did the episode "A Love of a Lifetime" air + Pred: SELECT episode FROM tv_series WHERE air_date = "A Love of a Lifetime" + Gold: SELECT Air_Date FROM TV_series WHERE Episode = "A Love of a Lifetime" + Type: SIMPLE + +[344] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : What is the TV Channel of TV series with Episode "A Love of a Lifetime"? List the TV Channel's series name + Pred: SELECT tv_channel FROM tv_series WHERE episode = "A Love of a Lifetime" + Gold: SELECT T1.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = "A Love of a Lifetime" + Type: JOIN + +[345] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : What is the name of the series that has the episode "A Love of a Lifetime" + Pred: SELECT tv_series_name FROM tv_series WHERE episode = "A Love of a Lifetime" + Gold: SELECT T1.series_name FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T2.Episode = "A Love of a Lifetime" + Type: JOIN + +[346] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : List the Episode of all TV series showed on TV Channel with series name "Sky Radio" + Pred: SELECT T2.episode FROM tv_series AS T1 JOIN cartoon AS T2 ON T1.channel = T2.id WHERE T1.series_name = "Sky Radio" + Gold: SELECT T2.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio" + Type: JOIN + +[347] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : What is the episode for the TV series named "Sky Radio" + Pred: SELECT T2.episode FROM tv_series AS T1 JOIN cartoon AS T2 ON T1.channel = T2.id WHERE T1.series_name = "Sky Radio" + Gold: SELECT T2.Episode FROM TV_Channel AS T1 JOIN TV_series AS T2 ON T1.id = T2.Channel WHERE T1.series_name = "Sky Radio" + Type: JOIN + +[348] EXTRA_JOIN | DB: tvshow | EX: ✗ + Q : Find the package choice and series name of the TV channel that has high definition TV + Pred: SELECT t2.package_option, t2.series_name FROM tv_channel AS t1 JOIN cartoon AS t2 ON t1.id = t2.channel WHERE t1.hight_definition_tv = "TV" + Gold: SELECT package_option, series_name FROM TV_Channel WHERE hight_definition_TV = "yes" + Type: SIMPLE + +[349] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : What are the package options and the name of the series for the TV Channel that supports high definition TV + Pred: SELECT tv_channel, package_option FROM tv_channel WHERE hight_definition_tv = 'yes' + Gold: SELECT package_option, series_name FROM TV_Channel WHERE hight_definition_TV = "yes" + Type: SIMPLE + +[350] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : which countries' tv channels are not playing any cartoon written by Todd Casey + Pred: SELECT country FROM tv_channel EXCEPT SELECT tv_channel FROM cartoon WHERE written_by = "Todd Casey" + Gold: SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' + Type: JOIN + +[351] WRONG_TABLE | DB: tvshow | EX: ✗ + Q : What are the countries that are not playing cartoons written by Todd Casey + Pred: SELECT country FROM tv_channel EXCEPT SELECT country FROM cartoon WHERE written_by = "Todd Casey" + Gold: SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey' + Type: JOIN + +[352] OTHER | DB: tvshow | EX: ✓ + Q : Find the series name and country of the tv channel that is playing some cartoons directed by Ben Jones and Michael Chang + Pred: SELECT T1.series_name, T1.country FROM tv_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Ben Jones" INTERSECT SELECT T1.series_name, T1.country FROM tv_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Michael Chang" + Gold: SELECT T1.series_name, T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name, T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones' + Type: JOIN + +[353] OTHER | DB: tvshow | EX: ✓ + Q : What is the series name and country of all TV channels that are playing cartoons directed by Ben Jones and cartoons directed by Michael Chang + Pred: SELECT T1.series_name, T1.country FROM tv_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Ben Jones" INTERSECT SELECT T1.series_name, T1.country FROM tv_channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.channel WHERE T2.directed_by = "Michael Chang" + Gold: SELECT T1.series_name, T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name, T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones' + Type: JOIN + +[354] OTHER | DB: tvshow | EX: ✗ + Q : find the pixel aspect ratio and nation of the tv channels that do not use English + Pred: SELECT pixel_aspect_ratio_par, country FROM tv_channel WHERE language > 'english' + Gold: SELECT Pixel_aspect_ratio_PAR, country FROM tv_channel WHERE LANGUAGE <> 'English' + Type: SIMPLE + +[355] OTHER | DB: tvshow | EX: ✗ + Q : What is the pixel aspect ratio and country of origin for all TV channels that do not use English + Pred: SELECT pixel_aspect_ratio_par, country FROM tv_channel WHERE language > 'english' + Gold: SELECT Pixel_aspect_ratio_PAR, country FROM tv_channel WHERE LANGUAGE <> 'English' + Type: SIMPLE + +[356] OTHER | DB: tvshow | EX: ✗ + Q : find id of the tv channels that from the countries where have more than two tv channels + Pred: SELECT id FROM tv_channel WHERE country = "U.S." GROUP BY country HAVING COUNT(*) > 2 + Gold: SELECT id FROM tv_channel GROUP BY country HAVING COUNT(*) > 2 + Type: GROUP_BY, HAVING, AGGREGATION + +[357] OTHER | DB: tvshow | EX: ✗ + Q : What are the ids of all tv channels that have more than 2 TV channels + Pred: SELECT id FROM tv_channel GROUP BY id HAVING COUNT(*) > 2 + Gold: SELECT id FROM tv_channel GROUP BY country HAVING COUNT(*) > 2 + Type: GROUP_BY, HAVING, AGGREGATION + +[358] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : find the id of tv channels that do not play any cartoon directed by Ben Jones + Pred: SELECT id FROM tv_channel EXCEPT SELECT tv_channel FROM cartoon WHERE directed_by = "Ben Jones" + Gold: SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones' + Type: SIMPLE + +[359] WRONG_COLUMNS | DB: tvshow | EX: ✗ + Q : What are the ids of the TV channels that do not have any cartoons directed by Ben Jones + Pred: SELECT id FROM tv_channel EXCEPT SELECT tv_channel FROM cartoon WHERE directed_by = "Ben Jones" + Gold: SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones' + Type: SIMPLE + +[360] EXTRA_JOIN | DB: tvshow | EX: ✗ + Q : find the package option of the tv channel that do not have any cartoon directed by Ben Jones + Pred: SELECT package_option FROM tv_channel EXCEPT SELECT t2.package_option FROM cartoon AS t1 JOIN tv_series AS t2 ON t1.channel = t2.id WHERE t1.directed_by = "Ben Jones" + Gold: SELECT package_option FROM TV_Channel WHERE NOT id IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones') + Type: NESTED + +[361] EXTRA_JOIN | DB: tvshow | EX: ✗ + Q : What are the package options of all tv channels that are not playing any cartoons directed by Ben Jones + Pred: SELECT package_option FROM tv_channel EXCEPT SELECT t2.package_option FROM cartoon AS t1 JOIN tv_series AS t2 ON t1.channel = t2.id WHERE t1.directed_by = "Ben Jones" + Gold: SELECT package_option FROM TV_Channel WHERE NOT id IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones') + Type: NESTED + +[362] EXTRA_JOIN | DB: poker_player | EX: ✗ + Q : What is the maximum number of final tables made among poker players with earnings less than 200000 + Pred: SELECT MAX(T2.Final_Table_Made) FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Earnings 200000 + Gold: SELECT MAX(Final_Table_Made) FROM poker_player WHERE Earnings < 200000 + Type: AGGREGATION + +[363] EXTRA_JOIN | DB: poker_player | EX: ✗ + Q : Return the maximum final tables made across all poker players who have earnings below 200000 + Pred: SELECT MAX(T2.Final_Table_Made) FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Earnings 200000 + Gold: SELECT MAX(Final_Table_Made) FROM poker_player WHERE Earnings < 200000 + Type: AGGREGATION + +[364] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : What are the names of poker players + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID + Type: JOIN + +[365] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : Return the names of all the poker players + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID + Type: JOIN + +[366] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : What are the names of poker players whose earnings is higher than 300000 + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Earnings > 300000 + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Earnings > 300000 + Type: JOIN + +[367] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : Give the names of poker players who have earnings above 300000 + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Earnings > 300000 + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Earnings > 300000 + Type: JOIN + +[368] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : List the names of poker players ordered by the final tables made in ascending order + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Final_Table_Made + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Final_Table_Made + Type: JOIN, ORDER_BY + +[369] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : What are the names of poker players, ordered ascending by the number of final tables they have made + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Final_Table_Made ASC + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Final_Table_Made + Type: JOIN, ORDER_BY + +[370] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : What is the birth date of the poker player with the lowest earnings + Pred: SELECT T2.Birth_Date FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Earnings LIMIT 1 + Gold: SELECT T1.Birth_Date FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings ASC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[371] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : Return the birth date of the poker player with the lowest earnings + Pred: SELECT T2.Birth_Date FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Earnings LIMIT 1 + Gold: SELECT T1.Birth_Date FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings ASC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[372] WRONG_TABLE | DB: poker_player | EX: ✗ + Q : What is the money rank of the tallest poker player + Pred: SELECT T2.Money_Rank FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Height DESC LIMIT 1 + Gold: SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[373] WRONG_TABLE | DB: poker_player | EX: ✗ + Q : Return the money rank of the poker player with the greatest height + Pred: SELECT T2.Money_Rank FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Height DESC LIMIT 1 + Gold: SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[374] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : What is the average earnings of poker players with height higher than 200 + Pred: SELECT AVG(T1.Earnings) FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 200 + Gold: SELECT AVG(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200 + Type: JOIN, AGGREGATION + +[375] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : Give average earnings of poker players who are taller than 200 + Pred: SELECT AVG(T1.Earnings) FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 200 + Gold: SELECT AVG(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200 + Type: JOIN, AGGREGATION + +[376] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : What are the names of poker players in descending order of earnings + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Earnings DESC + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings DESC + Type: JOIN, ORDER_BY + +[377] WRONG_TABLE | DB: poker_player | EX: ✓ + Q : Return the names of poker players sorted by their earnings descending + Pred: SELECT T2.Name FROM poker_player AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Earnings DESC + Gold: SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings DESC + Type: JOIN, ORDER_BY + +[378] OTHER | DB: poker_player | EX: ✗ + Q : Show names of people whose nationality is not "Russia" + Pred: SELECT Name FROM people WHERE Nationality > "Russia" + Gold: SELECT Name FROM people WHERE Nationality <> "Russia" + Type: SIMPLE + +[379] OTHER | DB: poker_player | EX: ✗ + Q : What are the names of people who are not from Russia + Pred: SELECT Name FROM people WHERE Nationality > 'Russia' + Gold: SELECT Name FROM people WHERE Nationality <> "Russia" + Type: SIMPLE + +[380] WRONG_COLUMNS | DB: voter_1 | EX: ✓ + Q : What is last date created of votes from the state 'CA' + Pred: SELECT created FROM votes WHERE state = 'CA' + Gold: SELECT MAX(created) FROM votes WHERE state = 'CA' + Type: AGGREGATION + +[381] OTHER | DB: voter_1 | EX: ✗ + Q : What are the names of the contestants whose names are not 'Jessie Alloway' + Pred: SELECT contestant_name FROM contestants WHERE contestant_name > 'Jessie Alloway' + Gold: SELECT contestant_name FROM contestants WHERE contestant_name <> 'Jessie Alloway' + Type: SIMPLE + +[382] WRONG_TABLE | DB: voter_1 | EX: ✓ + Q : What are the contestant numbers and names of the contestants who had at least two votes + Pred: SELECT T2.contestant_number, T2.contestant_name FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number GROUP BY T2.contestant_number HAVING COUNT(*) >= 2 + Gold: SELECT T1.contestant_number, T1.contestant_name FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number GROUP BY T1.contestant_number HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[383] WRONG_TABLE | DB: voter_1 | EX: ✗ + Q : Of all the contestants who got voted, what is the contestant number and name of the contestant who got least votes + Pred: SELECT T2.contestant_number, T2.contestant_name FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number ORDER BY votes LIMIT 1 + Gold: SELECT T1.contestant_number, T1.contestant_name FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number GROUP BY T1.contestant_number ORDER BY COUNT(*) ASC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[384] WRONG_TABLE | DB: voter_1 | EX: ✓ + Q : What are the create dates, states, and phone numbers of the votes that were for the contestant named 'Tabatha Gehling' + Pred: SELECT T1.created, T1.state, T1.phone_number FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number WHERE T2.contestant_name = 'Tabatha Gehling' + Gold: SELECT T2.created, T2.state, T2.phone_number FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number WHERE T1.contestant_name = 'Tabatha Gehling' + Type: JOIN + +[385] WRONG_TABLE | DB: voter_1 | EX: ✗ + Q : List the area codes in which voters voted both for the contestant 'Tabatha Gehling' and the contestant 'Kelly Clauss' + Pred: SELECT T2.area_code FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number WHERE T2.contestant_name = 'Tabatha Gehling' INTERSECT SELECT T2.area_code FROM votes AS T1 JOIN contestants AS T2 ON T1.contestant_number = T2.contestant_number WHERE T2.contestant_name = 'Kelly Clauss' + Gold: SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Tabatha Gehling' INTERSECT SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Kelly Clauss' + Type: JOIN + +[386] OTHER | DB: world_1 | EX: ✗ + Q : What is the total surface area of the countries in the Caribbean region + Pred: SELECT SUM(surfacearea) FROM country WHERE region = 'Carabes' + Gold: SELECT SUM(SurfaceArea) FROM country WHERE Region = "Caribbean" + Type: AGGREGATION + +[387] OTHER | DB: world_1 | EX: ✗ + Q : How much surface area do the countires in the Carribean cover together + Pred: SELECT SUM(surfacearea) FROM country WHERE region = "Carribean" + Gold: SELECT SUM(SurfaceArea) FROM country WHERE Region = "Caribbean" + Type: AGGREGATION + +[388] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Which region is the city Kabul located in + Pred: SELECT region FROM city WHERE name = 'Kabul' + Gold: SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul" + Type: JOIN + +[389] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What region is Kabul in + Pred: SELECT region FROM city WHERE name = 'Kabul' + Gold: SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul" + Type: JOIN + +[390] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Which language is the most popular in Aruba + Pred: SELECT T1.language FROM countrylanguage AS T1 JOIN city AS T2 ON T1.countrycode = T2.countrycode WHERE T2.name = 'Aruba' GROUP BY T1.language ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[391] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What language is predominantly spoken in Aruba + Pred: SELECT language FROM countrylanguage WHERE region = "Aruba" GROUP BY language ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[392] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the region and population of Angola + Pred: SELECT region, population FROM country WHERE name = 'Angola' + Gold: SELECT Population, Region FROM country WHERE Name = "Angola" + Type: SIMPLE + +[393] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What region does Angola belong to and what is its population + Pred: SELECT region, population FROM country WHERE name = 'Angola' + Gold: SELECT Population, Region FROM country WHERE Name = "Angola" + Type: SIMPLE + +[394] OTHER | DB: world_1 | EX: ✗ + Q : How long is the people’s average life expectancy in Central Africa + Pred: SELECT AVG(lifeexpectancy) FROM country WHERE continent = 'Central Africa' + Gold: SELECT AVG(LifeExpectancy) FROM country WHERE Region = "Central Africa" + Type: AGGREGATION + +[395] OTHER | DB: world_1 | EX: ✗ + Q : What is the name of country that has the shortest life expectancy in Asia + Pred: SELECT name FROM country WHERE lifeexpectancy = 'Asia' ORDER BY lifeexpectancy LIMIT 1 + Gold: SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1 + Type: ORDER_BY, LIMIT + +[396] OTHER | DB: world_1 | EX: ✗ + Q : Give the name of the country in Asia with the lowest life expectancy + Pred: SELECT name FROM country WHERE region = 'Asia' ORDER BY lifeexpectancy LIMIT 1 + Gold: SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1 + Type: ORDER_BY, LIMIT + +[397] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : How many people live in Asia, and what is the largest GNP among them + Pred: SELECT population, gnp FROM country WHERE region = 'Asia' GROUP BY gnp ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT SUM(Population), MAX(GNP) FROM country WHERE Continent = "Asia" + Type: AGGREGATION + +[398] OTHER | DB: world_1 | EX: ✗ + Q : What is the average life expectancy in African countries that are republics + Pred: SELECT AVG(lifeexpectancy) FROM country WHERE continent = 'Africa' AND country = 'Republic' + Gold: SELECT AVG(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic" + Type: AGGREGATION + +[399] OTHER | DB: world_1 | EX: ✗ + Q : Give the average life expectancy for countries in Africa which are republics + Pred: SELECT AVG(lifeexpectancy) FROM country WHERE continent = 'Africa' AND region = 'Republic' + Gold: SELECT AVG(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic" + Type: AGGREGATION + +[400] OTHER | DB: world_1 | EX: ✗ + Q : What is the total surface area of the continents Asia and Europe + Pred: SELECT SUM(surfacearea) FROM country WHERE continent = 'Asia' INTERSECT SELECT SUM(surfacearea) FROM country WHERE region = 'Europe' + Gold: SELECT SUM(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe" + Type: AGGREGATION + +[401] OTHER | DB: world_1 | EX: ✗ + Q : Give the total surface area covered by countries in Asia or Europe + Pred: SELECT SUM(surfacearea) FROM country WHERE region = "Asia" OR region = "Europe" + Gold: SELECT SUM(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe" + Type: AGGREGATION + +[402] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : How many people live in Gelderland district + Pred: SELECT COUNT(*) FROM city WHERE district = "Gelderland" + Gold: SELECT SUM(Population) FROM city WHERE District = "Gelderland" + Type: AGGREGATION + +[403] OTHER | DB: world_1 | EX: ✗ + Q : What is the average GNP and total population in all nations whose government is US territory + Pred: SELECT AVG(GNP), SUM(population) FROM country WHERE governmentform = 'US' + Gold: SELECT AVG(GNP), SUM(population) FROM country WHERE GovernmentForm = "US Territory" + Type: AGGREGATION + +[404] OTHER | DB: world_1 | EX: ✗ + Q : Give the mean GNP and total population of nations which are considered US territory + Pred: SELECT AVG(GNP), SUM(population) FROM country WHERE continent = 'US' + Gold: SELECT AVG(GNP), SUM(population) FROM country WHERE GovernmentForm = "US Territory" + Type: AGGREGATION + +[405] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What is the total number of languages used in Aruba + Pred: SELECT COUNT(*) FROM city AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.code WHERE T1.name = 'Aruba' + Gold: SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" + Type: JOIN, AGGREGATION + +[406] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : How many languages are spoken in Aruba + Pred: SELECT COUNT(*) FROM countrylanguage WHERE name = 'Aruba' + Gold: SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" + Type: JOIN, AGGREGATION + +[407] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : How many official languages does Afghanistan have + Pred: SELECT COUNT(*) FROM countrylanguage WHERE isofficial = 'Afghanistan' + Gold: SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" + Type: JOIN, AGGREGATION + +[408] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : How many official languages are spoken in Afghanistan + Pred: SELECT COUNT(*) FROM countrylanguage WHERE isofficial = 'Afghanistan' + Gold: SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T" + Type: JOIN, AGGREGATION + +[409] OTHER | DB: world_1 | EX: ✗ + Q : What is name of the country that speaks the largest number of languages + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode GROUP BY T2.countrycode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[410] OTHER | DB: world_1 | EX: ✗ + Q : Give the name of the nation that uses the greatest amount of languages + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode GROUP BY T2.countrycode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[411] MISSING_JOIN | DB: world_1 | EX: ✓ + Q : Which continent has the most diverse languages + Pred: SELECT continent FROM country GROUP BY continent ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[412] MISSING_JOIN | DB: world_1 | EX: ✓ + Q : Which continent speaks the most languages + Pred: SELECT continent FROM country GROUP BY continent ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[413] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : How many countries speak both English and Dutch + Pred: SELECT COUNT(*) FROM countrylanguage WHERE language = 'english' INTERSECT SELECT COUNT(*) FROM country WHERE language = 'northern' + Gold: SELECT COUNT(*) FROM (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Dutch") + Type: JOIN, NESTED, AGGREGATION + +[414] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What is the number of nations that use English and Dutch + Pred: SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.code WHERE T1.language = 'english' INTERSECT SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T1.language = 'northern' + Gold: SELECT COUNT(*) FROM (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Dutch") + Type: JOIN, NESTED, AGGREGATION + +[415] OTHER | DB: world_1 | EX: ✗ + Q : What are the names of nations speak both English and French + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language = 'english' INTERSECT SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T2.language = 'francais' + Gold: SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" + Type: JOIN + +[416] OTHER | DB: world_1 | EX: ✗ + Q : Give the names of nations that speak both English and French + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language = 'english' INTERSECT SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T2.language = 'francais' + Gold: SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" + Type: JOIN + +[417] OTHER | DB: world_1 | EX: ✗ + Q : What are the names of nations where both English and French are official languages + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language = 'english' INTERSECT SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T2.language = 'francais' + Gold: SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T" + Type: JOIN + +[418] OTHER | DB: world_1 | EX: ✗ + Q : Give the names of countries with English and French as official languages + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language = 'english' INTERSECT SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T2.language = 'francais' + Gold: SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T" + Type: JOIN + +[419] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : What is the number of distinct continents where Chinese is spoken + Pred: SELECT COUNT(DISTINCT continent) FROM country WHERE language = 'Chinese' + Gold: SELECT COUNT(DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese" + Type: JOIN, AGGREGATION + +[420] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : How many continents speak Chinese + Pred: SELECT COUNT(*) FROM country WHERE language = 'Chinese' + Gold: SELECT COUNT(DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese" + Type: JOIN, AGGREGATION + +[421] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What are the regions that use English or Dutch + Pred: SELECT region FROM countrylanguage WHERE language = 'english' OR language = 'neerlandais' + Gold: SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" + Type: JOIN + +[422] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Which regions speak Dutch or English + Pred: SELECT T2.region FROM countrylanguage AS T1 JOIN country AS T2 ON T1.countrycode = T2.code WHERE T1.language = "Dutch" OR T1.language = "english" + Gold: SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" + Type: JOIN + +[423] OTHER | DB: world_1 | EX: ✓ + Q : What are the countries where either English or Dutch is the official language + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language = 'english' OR T2.language = 'niederlande' + Gold: SELECT t1.name FROM country AS t1 JOIN countrylanguage AS t2 ON t1.code = t2.countrycode WHERE t2.language = "english" AND isofficial = "t" UNION SELECT t1.name FROM country AS t1 JOIN countrylanguage AS t2 ON t1.code = t2.countrycode WHERE t2.language = "dutch" AND isofficial = "t" + Type: JOIN + +[424] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Which countries have either English or Dutch as an official language + Pred: SELECT T1.name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language = 'English' OR T2.language = 'Dutch' + Gold: SELECT * FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND IsOfficial = "T" UNION SELECT * FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Dutch" AND IsOfficial = "T" + Type: JOIN + +[425] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : Which language is the most popular on the Asian continent + Pred: SELECT language FROM country WHERE continent = "Asia" GROUP BY language ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[426] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What is the language that is used by the largest number of Asian nations + Pred: SELECT T1.language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T1.region = 'Asian' GROUP BY T1.language ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[427] OTHER | DB: world_1 | EX: ✗ + Q : Which languages are spoken by only one country in republic governments + Pred: SELECT T2.language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T1.governmentform = 'Republic' GROUP BY T1.language HAVING COUNT(*) = 1 + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[428] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What languages are only used by a single country with a republic government + Pred: SELECT language FROM countrylanguage WHERE governmentform = 'Republic' GROUP BY language HAVING COUNT(*) = 1 + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[429] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : Find the city with the largest population that uses English + Pred: SELECT name FROM city WHERE language = 'english' GROUP BY name ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Name, T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[430] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : What is the most populace city that speaks English + Pred: SELECT name FROM city WHERE language = 'english' GROUP BY name ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Name, T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1 + Type: JOIN, ORDER_BY, LIMIT + +[431] OTHER | DB: world_1 | EX: ✗ + Q : Find the name, population and expected life length of asian country with the largest area + Pred: SELECT name, population, lifeexpectancy FROM country WHERE region = 'Asian' ORDER BY surfacearea DESC LIMIT 1 + Gold: SELECT Name, Population, LifeExpectancy FROM country WHERE Continent = "Asia" ORDER BY SurfaceArea DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[432] OTHER | DB: world_1 | EX: ✗ + Q : What are the name, population, and life expectancy of the largest Asian country by land + Pred: SELECT name, population, lifeexpectancy FROM country WHERE region = 'Asian' ORDER BY population DESC LIMIT 1 + Gold: SELECT Name, Population, LifeExpectancy FROM country WHERE Continent = "Asia" ORDER BY SurfaceArea DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[433] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : What is average life expectancy in the countries where English is not the official language + Pred: SELECT AVG(lifeexpectancy) FROM country WHERE isofficial = 'english' + Gold: SELECT AVG(LifeExpectancy) FROM country WHERE NOT Name IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T") + Type: JOIN, NESTED, AGGREGATION + +[434] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : Give the mean life expectancy of countries in which English is not the official language + Pred: SELECT AVG(lifeexpectancy) FROM country WHERE isofficial = 'english' + Gold: SELECT AVG(LifeExpectancy) FROM country WHERE NOT Name IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T") + Type: JOIN, NESTED, AGGREGATION + +[435] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What is the total number of people living in the nations that do not use English + Pred: SELECT SUM(T1.population) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language > 'english' + Gold: SELECT SUM(Population) FROM country WHERE NOT Name IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English") + Type: JOIN, NESTED, AGGREGATION + +[436] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : How many people live in countries that do not speak English + Pred: SELECT COUNT(*) FROM country WHERE language > 'english' + Gold: SELECT SUM(Population) FROM country WHERE NOT Name IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English") + Type: JOIN, NESTED, AGGREGATION + +[437] OTHER | DB: world_1 | EX: ✗ + Q : What is the official language spoken in the country whose head of state is Beatrix + Pred: SELECT T2.language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.countrycode WHERE T1.headofstate = 'Beatrix' + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T" + Type: JOIN + +[438] OTHER | DB: world_1 | EX: ✗ + Q : What is the official language used in the country the name of whose head of state is Beatrix + Pred: SELECT T2.language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.code WHERE T1.name = 'Beatrix' + Gold: SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T" + Type: JOIN + +[439] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What is the total number of unique official languages spoken in the countries that are founded before 1930 + Pred: SELECT COUNT(DISTINCT T2.isofficial) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T1.indepyear 1930 + Gold: SELECT COUNT(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T" + Type: JOIN, AGGREGATION + +[440] MISSING_JOIN | DB: world_1 | EX: ✗ + Q : For the countries founded before 1930, what is the total number of distinct official languages + Pred: SELECT COUNT(DISTINCT language) FROM country WHERE indepyear 1930 + Gold: SELECT COUNT(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T" + Type: JOIN, AGGREGATION + +[441] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the countries that have greater surface area than any country in Europe + Pred: SELECT name FROM country WHERE surfacearea > (SELECT MAX(surfacearea) FROM country WHERE continent = 'Europe') + Gold: SELECT Name FROM country WHERE SurfaceArea > (SELECT MIN(SurfaceArea) FROM country WHERE Continent = "Europe") + Type: NESTED, AGGREGATION + +[442] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Which countries have greater area than that of any country in Europe + Pred: SELECT name FROM country WHERE surfacearea > (SELECT MAX(surfacearea) FROM country WHERE continent = 'Europe') + Gold: SELECT Name FROM country WHERE SurfaceArea > (SELECT MIN(SurfaceArea) FROM country WHERE Continent = "Europe") + Type: NESTED, AGGREGATION + +[443] OTHER | DB: world_1 | EX: ✗ + Q : What are the African countries that have a population less than any country in Asia + Pred: SELECT name FROM country WHERE continent = "Africa" AND population (SELECT MAX(population) FROM country WHERE continent = "Asia") + Gold: SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT MAX(population) FROM country WHERE Continent = "Asia") + Type: NESTED, AGGREGATION + +[444] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Which African countries have a smaller population than that of any country in Asia + Pred: SELECT name FROM country WHERE continent = "Africa" AND population (SELECT MAX(population) FROM country WHERE continent = "Asia") + Gold: SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT MIN(population) FROM country WHERE Continent = "Asia") + Type: NESTED, AGGREGATION + +[445] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the Asian countries which have a population larger than that of any country in Africa + Pred: SELECT name FROM country WHERE continent = "Asia" AND population > (SELECT MAX(population) FROM country WHERE continent = "Africa") + Gold: SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT MIN(population) FROM country WHERE Continent = "Africa") + Type: NESTED, AGGREGATION + +[446] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What are the country codes for countries that do not speak English + Pred: SELECT countrycode FROM country WHERE language > 'english' + Gold: SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" + Type: SIMPLE + +[447] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Return the country codes for countries that do not speak English + Pred: SELECT countrycode FROM country WHERE language > 'english' + Gold: SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" + Type: SIMPLE + +[448] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What are the country codes of countries where people use languages other than English + Pred: SELECT countrycode FROM country WHERE language > 'english' + Gold: SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE <> "English" + Type: SIMPLE + +[449] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Give the country codes for countries in which people speak langauges that are not English + Pred: SELECT countrycode FROM country WHERE language > 'english' + Gold: SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE <> "English" + Type: SIMPLE + +[450] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What are the codes of the countries that do not speak English and whose government forms are not Republic + Pred: SELECT countrycode FROM country WHERE language > 'english' AND governmentform > 'Republic' + Gold: SELECT Code FROM country WHERE GovernmentForm <> "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" + Type: SIMPLE + +[451] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Return the codes of countries that do not speak English and do not have Republics for governments + Pred: SELECT countrycode FROM country WHERE language > 'english' INTERSECT SELECT countrycode FROM country WHERE governmentform = 'republic' + Gold: SELECT Code FROM country WHERE GovernmentForm <> "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English" + Type: SIMPLE + +[452] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Which cities are in European countries where English is not the official language + Pred: SELECT T1.name FROM city AS T1 JOIN country AS T2 ON T1.countrycode = T2.countrycode WHERE T2.language > 'English' + Gold: SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND NOT T1.Name IN (SELECT T3.Name FROM country AS T3 JOIN countrylanguage AS T4 ON T3.Code = T4.CountryCode WHERE T4.IsOfficial = 'T' AND T4.Language = 'English') + Type: JOIN, NESTED + +[453] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What are the names of cities in Europe for which English is not the official language + Pred: SELECT name FROM city WHERE countrycode IN (SELECT countrycode FROM country WHERE isofficial = 'english') + Gold: SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND NOT T1.Name IN (SELECT T3.Name FROM country AS T3 JOIN countrylanguage AS T4 ON T3.Code = T4.CountryCode WHERE T4.IsOfficial = 'T' AND T4.Language = 'English') + Type: JOIN, NESTED + +[454] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Which unique cities are in Asian countries where Chinese is the official language + Pred: SELECT DISTINCT T1.name FROM city AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.code WHERE T2.language = 'Chinese' AND T2.isofficial = 'Asian' + Gold: SELECT DISTINCT t3.name FROM country AS t1 JOIN countrylanguage AS t2 ON t1.code = t2.countrycode JOIN city AS t3 ON t1.code = t3.countrycode WHERE t2.isofficial = 't' AND t2.language = 'chinese' AND t1.continent = "asia" + Type: JOIN + +[455] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : Return the different names of cities that are in Asia and for which Chinese is the official language + Pred: SELECT DISTINCT T1.name FROM city AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.code WHERE T2.region = 'Asia' AND T2.language = 'Chinese' + Gold: SELECT DISTINCT T3.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode JOIN city AS T3 ON T1.Code = T3.CountryCode WHERE T2.IsOfficial = 'T' AND T2.Language = 'Chinese' AND T1.Continent = "Asia" + Type: JOIN + +[456] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the name, independence year, and surface area of the country with the smallest population + Pred: SELECT name, indepyear, surfacearea FROM country ORDER BY population LIMIT 1 + Gold: SELECT Name, SurfaceArea, IndepYear FROM country ORDER BY Population LIMIT 1 + Type: ORDER_BY, LIMIT + +[457] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Give the name, year of independence, and surface area of the country that has the lowest population + Pred: SELECT name, indepyear, surfacearea FROM country ORDER BY population LIMIT 1 + Gold: SELECT Name, SurfaceArea, IndepYear FROM country ORDER BY Population LIMIT 1 + Type: ORDER_BY, LIMIT + +[458] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the population, name and leader of the country with the largest area + Pred: SELECT population, name, headofstate FROM country ORDER BY surfacearea DESC LIMIT 1 + Gold: SELECT Name, population, HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1 + Type: ORDER_BY, LIMIT + +[459] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Return the country name and the numbers of languages spoken for each country that speaks at least 3 languages + Pred: SELECT T1.name, COUNT(*), T2.language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode GROUP BY T2.language HAVING COUNT(*) >= 3 + Gold: SELECT COUNT(T2.Language), T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name HAVING COUNT(*) > 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[460] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the names of countries that speak more than 2 languages, as well as how many languages they speak + Pred: SELECT T1.name, COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.code = T2.countrycode WHERE T2.language > 2 GROUP BY T1.name + Gold: SELECT COUNT(T2.Language), T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name HAVING COUNT(*) > 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[461] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Find the government form name and total population for each government form whose average life expectancy is longer than 72 + Pred: SELECT governmentform, SUM(population) FROM country WHERE lifeexpectancy > 72 GROUP BY governmentform + Gold: SELECT SUM(Population), GovernmentForm FROM country GROUP BY GovernmentForm HAVING AVG(LifeExpectancy) > 72 + Type: GROUP_BY, HAVING, AGGREGATION + +[462] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the different government forms and what is the total population of each for government forms that have an average life expectancy greater than 72 + Pred: SELECT governmentform, SUM(population) FROM country WHERE lifeexpectancy > 72 GROUP BY governmentform + Gold: SELECT SUM(Population), GovernmentForm FROM country GROUP BY GovernmentForm HAVING AVG(LifeExpectancy) > 72 + Type: GROUP_BY, HAVING, AGGREGATION + +[463] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Find the average life expectancy and total population for each continent where the average life expectancy is shorter than 72 + Pred: SELECT AVG(lifeexpectancy), SUM(population), continent FROM country WHERE lifeexpectancy 72 GROUP BY continent + Gold: SELECT SUM(Population), AVG(LifeExpectancy), Continent FROM country GROUP BY Continent HAVING AVG(LifeExpectancy) < 72 + Type: GROUP_BY, HAVING, AGGREGATION + +[464] OTHER | DB: world_1 | EX: ✗ + Q : What are the different continents and the total popuation and average life expectancy corresponding to each, for continents that have an average life expectancy less than 72 + Pred: SELECT SUM(population), AVG(lifeexpectancy), continent FROM country WHERE population 72 GROUP BY continent + Gold: SELECT SUM(Population), AVG(LifeExpectancy), Continent FROM country GROUP BY Continent HAVING AVG(LifeExpectancy) < 72 + Type: GROUP_BY, HAVING, AGGREGATION + +[465] OTHER | DB: world_1 | EX: ✓ + Q : What are the names of the nations with the 3 lowest populations + Pred: SELECT name FROM country ORDER BY population LIMIT 3 + Gold: SELECT Name FROM country ORDER BY Population ASC LIMIT 3 + Type: ORDER_BY, LIMIT + +[466] OTHER | DB: world_1 | EX: ✓ + Q : Return the names of the 3 countries with the fewest people + Pred: SELECT name FROM country ORDER BY population LIMIT 3 + Gold: SELECT Name FROM country ORDER BY Population ASC LIMIT 3 + Type: ORDER_BY, LIMIT + +[467] OTHER | DB: world_1 | EX: ✗ + Q : Count the number of countries in Asia + Pred: SELECT COUNT(*) FROM country WHERE region = 'Asia' + Gold: SELECT COUNT(*) FROM country WHERE continent = "Asia" + Type: AGGREGATION + +[468] OTHER | DB: world_1 | EX: ✓ + Q : What are the names of the countries that are in the continent of Europe and have a population of 80000 + Pred: SELECT name FROM country WHERE continent = 'Europe' AND population = 80000 + Gold: SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000" + Type: SIMPLE + +[469] OTHER | DB: world_1 | EX: ✓ + Q : Give the names of countries that are in Europe and have a population equal to 80000 + Pred: SELECT name FROM country WHERE continent = 'Europe' AND population = 80000 + Gold: SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000" + Type: SIMPLE + +[470] EXTRA_JOIN | DB: world_1 | EX: ✗ + Q : Which language is spoken by the largest number of countries + Pred: SELECT T1.language FROM countrylanguage AS T1 JOIN country AS T2 ON T1.countrycode = T2.code GROUP BY T2.language ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT LANGUAGE FROM countrylanguage GROUP BY LANGUAGE ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[471] EXTRA_JOIN | DB: world_1 | EX: ✗ + Q : Give the language that is spoken in the most countries + Pred: SELECT T1.language FROM countrylanguage AS T1 JOIN country AS T2 ON T1.countrycode = T2.code GROUP BY T2.language ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT LANGUAGE FROM countrylanguage GROUP BY LANGUAGE ORDER BY COUNT(*) DESC LIMIT 1 + Type: GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[472] WRONG_TABLE | DB: world_1 | EX: ✗ + Q : What is the language spoken by the largest percentage of people in each country + Pred: SELECT T2.language, MAX(T1.population) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.countrycode = T2.code GROUP BY T1.countrycode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT LANGUAGE, CountryCode, MAX(Percentage) FROM countrylanguage GROUP BY CountryCode + Type: GROUP_BY, AGGREGATION + +[473] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : What are the country codes of the different countries, and what are the languages spoken by the greatest percentage of people for each + Pred: SELECT countrycode, language FROM countrylanguage GROUP BY countrycode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT LANGUAGE, CountryCode, MAX(Percentage) FROM countrylanguage GROUP BY CountryCode + Type: GROUP_BY, AGGREGATION + +[474] MISSING_GROUP_BY | DB: world_1 | EX: ✗ + Q : What is the total number of countries where Spanish is spoken by the largest percentage of people + Pred: SELECT COUNT(*) FROM countrylanguage WHERE language = 'Spanish' ORDER BY percentage DESC LIMIT 1 + Gold: SELECT COUNT(*), MAX(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode + Type: GROUP_BY, AGGREGATION + +[475] MISSING_GROUP_BY | DB: world_1 | EX: ✗ + Q : Count the number of countries for which Spanish is the predominantly spoken language + Pred: SELECT COUNT(*) FROM countrylanguage WHERE language = 'Spanish' ORDER BY percentage DESC LIMIT 1 + Gold: SELECT COUNT(*), MAX(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode + Type: GROUP_BY, AGGREGATION + +[476] MISSING_GROUP_BY | DB: world_1 | EX: ✗ + Q : What are the codes of countries where Spanish is spoken by the largest percentage of people + Pred: SELECT countrycode FROM countrylanguage WHERE language = 'Spanish' ORDER BY percentage DESC LIMIT 1 + Gold: SELECT CountryCode, MAX(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode + Type: GROUP_BY, AGGREGATION + +[477] WRONG_COLUMNS | DB: world_1 | EX: ✗ + Q : Return the codes of countries for which Spanish is the predominantly spoken language + Pred: SELECT countrycode FROM countrylanguage WHERE language = 'Spanish' GROUP BY countrycode ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT CountryCode, MAX(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode + Type: GROUP_BY, AGGREGATION + +[478] OTHER | DB: orchestra | EX: ✓ + Q : What are the names of conductors, ordered by age + Pred: SELECT name FROM conductor ORDER BY age + Gold: SELECT Name FROM conductor ORDER BY Age ASC + Type: ORDER_BY + +[479] OTHER | DB: orchestra | EX: ✗ + Q : What are the names of conductors whose nationalities are not "USA" + Pred: SELECT name FROM conductor WHERE nationality > 'USA' + Gold: SELECT Name FROM conductor WHERE Nationality <> 'USA' + Type: SIMPLE + +[480] OTHER | DB: orchestra | EX: ✗ + Q : Return the names of conductors that do not have the nationality "USA" + Pred: SELECT name FROM conductor WHERE nationality > 'USA' + Gold: SELECT Name FROM conductor WHERE Nationality <> 'USA' + Type: SIMPLE + +[481] OTHER | DB: orchestra | EX: ✗ + Q : What are the maximum and minimum share of performances whose type is not "Live final" + Pred: SELECT MAX(Share), MIN(Share) FROM performance WHERE TYPE > "Live final" + Gold: SELECT MAX(SHARE), MIN(SHARE) FROM performance WHERE TYPE <> "Live final" + Type: AGGREGATION + +[482] OTHER | DB: orchestra | EX: ✗ + Q : Return the maximum and minimum shares for performances that do not have the type "Live final" + Pred: SELECT MAX(Share), MIN(Share) FROM performance WHERE TYPE > "Live final" + Gold: SELECT MAX(SHARE), MIN(SHARE) FROM performance WHERE TYPE <> "Live final" + Type: AGGREGATION + +[483] WRONG_TABLE | DB: orchestra | EX: ✗ + Q : Show the names of conductors and the orchestras they have conducted + Pred: SELECT T3.Name, T2.Orchestre FROM performance AS T1 JOIN orchestra AS T2 ON T1.Orchestra_ID = T2.Orchestre_ID JOIN conductor AS T3 ON T1.Conductor_ID = T3.Conductor_ID + Gold: SELECT T1.Name, T2.Orchestra FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID + Type: JOIN + +[484] WRONG_TABLE | DB: orchestra | EX: ✗ + Q : What are the names of conductors as well as the corresonding orchestras that they have conducted + Pred: SELECT T2.Name, T3.Orchestre FROM performance AS T1 JOIN orchestra AS T2 ON T1.Orchestra_ID = T2.Orchestre_ID JOIN conductor AS T3 ON T1.Conductor_ID = T3.Conductor_ID + Gold: SELECT T1.Name, T2.Orchestra FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID + Type: JOIN + +[485] WRONG_TABLE | DB: orchestra | EX: ✓ + Q : Show the names of conductors that have conducted more than one orchestras + Pred: SELECT T2.Name FROM orchestra AS T1 JOIN conductor AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Name HAVING COUNT(*) > 1 + Gold: SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Conductor_ID HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[486] WRONG_TABLE | DB: orchestra | EX: ✓ + Q : What are the names of conductors who have conducted at more than one orchestra + Pred: SELECT T2.Name FROM orchestra AS T1 JOIN conductor AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Name HAVING COUNT(*) > 1 + Gold: SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Conductor_ID HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[487] WRONG_TABLE | DB: orchestra | EX: ✗ + Q : Show the name of the conductor that has conducted the most number of orchestras + Pred: SELECT T2.Name FROM orchestra AS T1 JOIN conductor AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Name ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Conductor_ID ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[488] WRONG_TABLE | DB: orchestra | EX: ✗ + Q : What is the name of the conductor who has conducted the most orchestras + Pred: SELECT T2.Name FROM orchestra AS T1 JOIN conductor AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Name ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Conductor_ID ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[489] WRONG_TABLE | DB: orchestra | EX: ✓ + Q : Please show the name of the conductor that has conducted orchestras founded after 2008 + Pred: SELECT T2.Name FROM orchestra AS T1 JOIN conductor AS T2 ON T1.Conductor_ID = T2.Conductor_ID WHERE T1.Year_of_founded > 2008 + Gold: SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID WHERE Year_of_Founded > 2008 + Type: JOIN + +[490] WRONG_TABLE | DB: orchestra | EX: ✓ + Q : What are the names of conductors who have conducted orchestras founded after the year 2008 + Pred: SELECT T2.Name FROM orchestra AS T1 JOIN conductor AS T2 ON T1.Conductor_ID = T2.Conductor_ID WHERE T1.Year_of_founded > 2008 + Gold: SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID WHERE Year_of_Founded > 2008 + Type: JOIN + +[491] MISSING_GROUP_BY | DB: orchestra | EX: ✗ + Q : Please show the record formats of orchestras in ascending order of count + Pred: SELECT Major_Record_Format FROM orchestra ORDER BY COUNT(*) ASC + Gold: SELECT Major_Record_Format FROM orchestra GROUP BY Major_Record_Format ORDER BY COUNT(*) ASC + Type: GROUP_BY, ORDER_BY, AGGREGATION + +[492] MISSING_GROUP_BY | DB: orchestra | EX: ✗ + Q : What are the major record formats of orchestras, sorted by their frequency + Pred: SELECT Major_Record_format FROM orchestra ORDER BY Major_Record_format + Gold: SELECT Major_Record_Format FROM orchestra GROUP BY Major_Record_Format ORDER BY COUNT(*) ASC + Type: GROUP_BY, ORDER_BY, AGGREGATION + +[493] WRONG_COLUMNS | DB: orchestra | EX: ✗ + Q : List the names of orchestras that have no performance + Pred: SELECT Name FROM orchestra WHERE NOT Orchestra_ID IN (SELECT Orchestra_ID FROM performance) + Gold: SELECT Orchestra FROM orchestra WHERE NOT Orchestra_ID IN (SELECT Orchestra_ID FROM performance) + Type: NESTED + +[494] EXTRA_JOIN | DB: orchestra | EX: ✓ + Q : What are the orchestras that do not have any performances + Pred: SELECT Orchestra FROM orchestra EXCEPT SELECT T2.Orchestra FROM performance AS T1 JOIN orchestra AS T2 ON T1.Orchestra_ID = T2.Orchestra_ID + Gold: SELECT Orchestra FROM orchestra WHERE NOT Orchestra_ID IN (SELECT Orchestra_ID FROM performance) + Type: NESTED + +[495] WRONG_TABLE | DB: orchestra | EX: ✗ + Q : Show the record companies shared by orchestras founded before 2003 and after 2003 + Pred: SELECT Record_Company FROM orchestra WHERE YEAR_Of_founded 2003 INTERSECT SELECT Record_Company FROM performance WHERE YEAR_Of_founded > 2003 + Gold: SELECT Record_Company FROM orchestra WHERE Year_of_Founded < 2003 INTERSECT SELECT Record_Company FROM orchestra WHERE Year_of_Founded > 2003 + Type: SIMPLE + +[496] OTHER | DB: orchestra | EX: ✗ + Q : What are the record companies that are used by both orchestras founded before 2003 and those founded after 2003 + Pred: SELECT record_company FROM orchestra WHERE YEAR_of_founded 2003 INTERSECT SELECT record_company FROM orchestra WHERE YEAR_of_founded > 2003 + Gold: SELECT Record_Company FROM orchestra WHERE Year_of_Founded < 2003 INTERSECT SELECT Record_Company FROM orchestra WHERE Year_of_Founded > 2003 + Type: SIMPLE + +[497] OTHER | DB: orchestra | EX: ✗ + Q : Find the number of orchestras whose record format is "CD" or "DVD" + Pred: SELECT COUNT(*) FROM orchestra WHERE record_format = "CD" OR record_format = "DVD" + Gold: SELECT COUNT(*) FROM orchestra WHERE Major_Record_Format = "CD" OR Major_Record_Format = "DVD" + Type: AGGREGATION + +[498] OTHER | DB: orchestra | EX: ✗ + Q : Count the number of orchestras that have CD or DVD as their record format + Pred: SELECT COUNT(*) FROM orchestra WHERE record_format = 'CD' OR record_format = 'DVD' + Gold: SELECT COUNT(*) FROM orchestra WHERE Major_Record_Format = "CD" OR Major_Record_Format = "DVD" + Type: AGGREGATION + +[499] WRONG_COLUMNS | DB: orchestra | EX: ✓ + Q : Show the years in which orchestras that have given more than one performance are founded + Pred: SELECT T1.Year_of_founded FROM orchestra AS T1 JOIN performance AS T2 ON T1.Orchestra_ID = T2.Orchestra_ID GROUP BY T1.Orchestra_ID HAVING COUNT(*) > 1 + Gold: SELECT Year_of_Founded FROM orchestra AS T1 JOIN performance AS T2 ON T1.Orchestra_ID = T2.Orchestra_ID GROUP BY T2.Orchestra_ID HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[500] MISSING_JOIN | DB: orchestra | EX: ✗ + Q : What are years of founding for orchestras that have had more than a single performance + Pred: SELECT YEAR_of_founded FROM orchestra GROUP BY year_of_founded HAVING COUNT(*) > 1 + Gold: SELECT Year_of_Founded FROM orchestra AS T1 JOIN performance AS T2 ON T1.Orchestra_ID = T2.Orchestra_ID GROUP BY T2.Orchestra_ID HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[501] WRONG_COLUMNS | DB: network_1 | EX: ✗ + Q : Show all the grades of the high schoolers + Pred: SELECT DISTINCT grade FROM highschooler + Gold: SELECT grade FROM Highschooler + Type: SIMPLE + +[502] WRONG_COLUMNS | DB: network_1 | EX: ✗ + Q : What is the grade of each high schooler + Pred: SELECT DISTINCT grade FROM highschooler + Gold: SELECT grade FROM Highschooler + Type: SIMPLE + +[503] WRONG_COLUMNS | DB: network_1 | EX: ✓ + Q : What grade is Kyle in + Pred: SELECT DISTINCT grade FROM highschooler WHERE name = "Kyle" + Gold: SELECT grade FROM Highschooler WHERE name = "Kyle" + Type: SIMPLE + +[504] WRONG_COLUMNS | DB: network_1 | EX: ✗ + Q : What is Kyle's id + Pred: SELECT student_id FROM highschooler WHERE name = "Kyle" + Gold: SELECT ID FROM Highschooler WHERE name = "Kyle" + Type: SIMPLE + +[505] WRONG_COLUMNS | DB: network_1 | EX: ✗ + Q : Show the number of high schoolers for each grade + Pred: SELECT COUNT(*), grade FROM highschooler GROUP BY grade + Gold: SELECT grade, COUNT(*) FROM Highschooler GROUP BY grade + Type: GROUP_BY, AGGREGATION + +[506] WRONG_COLUMNS | DB: network_1 | EX: ✓ + Q : Show me all grades that have at least 4 students + Pred: SELECT DISTINCT grade FROM highschooler GROUP BY grade HAVING COUNT(*) >= 4 + Gold: SELECT grade FROM Highschooler GROUP BY grade HAVING COUNT(*) >= 4 + Type: GROUP_BY, HAVING, AGGREGATION + +[507] EXTRA_JOIN | DB: network_1 | EX: ✗ + Q : How many friends does each student have + Pred: SELECT COUNT(*), T1.student_id FROM friend AS T1 JOIN likes AS T2 ON T1.student_id = T2.liked_id GROUP BY T1.student_id + Gold: SELECT student_id, COUNT(*) FROM Friend GROUP BY student_id + Type: GROUP_BY, AGGREGATION + +[508] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show the names of high school students and their corresponding number of friends + Pred: SELECT T2.name, COUNT(*) FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T1.id + Gold: SELECT T2.name, COUNT(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id + Type: JOIN, GROUP_BY, AGGREGATION + +[509] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the names of the high schoolers and how many friends does each have + Pred: SELECT T2.name, COUNT(*) FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T1.id + Gold: SELECT T2.name, COUNT(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id + Type: JOIN, GROUP_BY, AGGREGATION + +[510] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What is the name of the high schooler who has the greatest number of friends + Pred: SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T2.friend_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[511] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Return the name of the high school student with the most friends + Pred: SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T2.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[512] OTHER | DB: network_1 | EX: ✗ + Q : Show the names of high schoolers who have at least 3 friends + Pred: SELECT T2.name FROM friend AS T1 JOIN highschooler AS T2 ON T1.id = T2.friend_id GROUP BY T1.id HAVING COUNT(*) >= 3 + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id HAVING COUNT(*) >= 3 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[513] OTHER | DB: network_1 | EX: ✗ + Q : What are the names of high schoolers who have 3 or more friends + Pred: SELECT T2.name FROM friend AS T1 JOIN highschooler AS T2 ON T1.id = T2.friend_id GROUP BY T1.id HAVING COUNT(*) >= 3 + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id HAVING COUNT(*) >= 3 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[514] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show the names of all of the high schooler Kyle's friends + Pred: SELECT T2.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.grade = 1 + Gold: SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle" + Type: JOIN + +[515] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Return the names of friends of the high school student Kyle + Pred: SELECT T2.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.student_id = (SELECT T3.id FROM highschooler AS T3 JOIN friend AS T4 ON T3.id = T4.friend_id WHERE T1.student_id = 'Kyle') + Gold: SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle" + Type: JOIN + +[516] OTHER | DB: network_1 | EX: ✗ + Q : How many friends does the high school student Kyle have + Pred: SELECT COUNT(*) FROM friend AS T1 JOIN highschooler AS T2 ON T1.id = T2.friend_id WHERE T2.name = "Kyle" + Gold: SELECT COUNT(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" + Type: JOIN, AGGREGATION + +[517] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Count the number of friends Kyle has + Pred: SELECT COUNT(*) FROM friend WHERE friend_id = (SELECT friend_id FROM highschooler) + Gold: SELECT COUNT(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" + Type: JOIN, AGGREGATION + +[518] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show ids of all students who do not have any friends + Pred: SELECT student_id FROM friend EXCEPT SELECT student_id FROM likes + Gold: SELECT id FROM Highschooler EXCEPT SELECT student_id FROM Friend + Type: SIMPLE + +[519] OTHER | DB: network_1 | EX: ✗ + Q : Show names of all high school students who do not have any friends + Pred: SELECT name FROM highschooler EXCEPT SELECT T2.name FROM friend AS T1 JOIN highschooler AS T2 ON T1.id = T2.friend_id + Gold: SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id + Type: JOIN + +[520] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the names of students who have no friends + Pred: SELECT name FROM students WHERE NOT student_id IN (SELECT student_id FROM friend) + Gold: SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id + Type: JOIN + +[521] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show the ids of high schoolers who have friends and are also liked by someone else + Pred: SELECT T1.id FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id EXCEPT SELECT T1.id FROM likes AS T3 JOIN highschooler AS T4 ON T3.id = T4.liked_id + Gold: SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes + Type: SIMPLE + +[522] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the ids of students who both have friends and are liked + Pred: SELECT T1.student_id FROM friend AS T1 JOIN likes AS T2 ON T1.student_id = T2.liked_id + Gold: SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes + Type: SIMPLE + +[523] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show name of all students who have some friends and also are liked by someone else + Pred: SELECT T1.name FROM student AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id JOIN friend AS T3 ON T2.friend_id = T3.id + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id = T2.id + Type: JOIN + +[524] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the names of high schoolers who both have friends and are liked + Pred: SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id JOIN likes AS T3 ON T2.liked_id = T3.liked_id + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id = T2.id + Type: JOIN + +[525] WRONG_COLUMNS | DB: network_1 | EX: ✗ + Q : Count the number of likes for each student id + Pred: SELECT COUNT(*), student_id FROM likes GROUP BY student_id + Gold: SELECT student_id, COUNT(*) FROM Likes GROUP BY student_id + Type: GROUP_BY, AGGREGATION + +[526] EXTRA_JOIN | DB: network_1 | EX: ✗ + Q : How many likes correspond to each student id + Pred: SELECT COUNT(*), T1.student_id FROM likes AS T1 JOIN likes AS T2 ON T1.liked_id = T2.liked_id GROUP BY T1.student_id + Gold: SELECT student_id, COUNT(*) FROM Likes GROUP BY student_id + Type: GROUP_BY, AGGREGATION + +[527] OTHER | DB: network_1 | EX: ✗ + Q : Show the names of high schoolers who have likes, and numbers of likes for each + Pred: SELECT T2.name, COUNT(*) FROM likes AS T1 JOIN highschooler AS T2 ON T1.id = T2.liked_id GROUP BY T2.id + Gold: SELECT T2.name, COUNT(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id + Type: JOIN, GROUP_BY, AGGREGATION + +[528] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the names of high schoolers who have likes, and how many likes does each have + Pred: SELECT T1.name, COUNT(*) FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T1.id + Gold: SELECT T2.name, COUNT(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id + Type: JOIN, GROUP_BY, AGGREGATION + +[529] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What is the name of the high schooler who has the greatest number of likes + Pred: SELECT T1.name FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T2.liked_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[530] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Give the name of the student with the most likes + Pred: SELECT T1.name FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T2.liked_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[531] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show the names of students who have at least 2 likes + Pred: SELECT T1.name FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T1.student_id HAVING COUNT(*) >= 2 + Gold: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[532] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the names of students who have 2 or more likes + Pred: SELECT T1.name FROM highschooler AS T1 JOIN likes AS T2 ON T1.id = T2.liked_id GROUP BY T2.liked_id HAVING COUNT(*) >= 2 + Gold: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[533] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Show the names of students who have a grade higher than 5 and have at least 2 friends + Pred: SELECT T2.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id WHERE T1.grade > 5 GROUP BY T2.name HAVING COUNT(*) >= 2 + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.grade > 5 GROUP BY T1.student_id HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[534] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What are the names of high schoolers who have a grade of over 5 and have 2 or more friends + Pred: SELECT name FROM highschooler WHERE grade > 5 INTERSECT SELECT T1.name FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T2.friend_id HAVING COUNT(*) >= 2 + Gold: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.grade > 5 GROUP BY T1.student_id HAVING COUNT(*) >= 2 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[535] OTHER | DB: network_1 | EX: ✗ + Q : How many likes does Kyle have + Pred: SELECT COUNT(*) FROM likes AS T1 JOIN friend AS T2 ON T1.liked_id = T2.liked_id WHERE T2.name = "Kyle" + Gold: SELECT COUNT(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" + Type: JOIN, AGGREGATION + +[536] OTHER | DB: network_1 | EX: ✗ + Q : Return the number of likes that the high schooler named Kyle has + Pred: SELECT COUNT(*) FROM likes AS T1 JOIN highschooler AS T2 ON T1.id = T2.liked_id WHERE T2.name = 'Kyle' + Gold: SELECT COUNT(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle" + Type: JOIN, AGGREGATION + +[537] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : Find the average grade of all students who have some friends + Pred: SELECT AVG(T2.grade) FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T2.friend_id + Gold: SELECT AVG(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) + Type: JOIN, NESTED, AGGREGATION + +[538] WRONG_TABLE | DB: network_1 | EX: ✗ + Q : What is the average grade of students who have friends + Pred: SELECT AVG(T2.grade) FROM highschooler AS T1 JOIN friend AS T2 ON T1.id = T2.friend_id GROUP BY T2.friend_id + Gold: SELECT AVG(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) + Type: JOIN, NESTED, AGGREGATION + +[539] MISSING_JOIN | DB: network_1 | EX: ✗ + Q : Find the minimum grade of students who have no friends + Pred: SELECT MIN(grade) FROM highschooler WHERE NOT student_id IN (SELECT student_id FROM friend) + Gold: SELECT MIN(grade) FROM Highschooler WHERE NOT id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) + Type: JOIN, NESTED, AGGREGATION + +[540] MISSING_JOIN | DB: network_1 | EX: ✗ + Q : What is the lowest grade of students who do not have any friends + Pred: SELECT MIN(grade) FROM highschooler WHERE NOT student_id IN (SELECT student_id FROM friend) + Gold: SELECT MIN(grade) FROM Highschooler WHERE NOT id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id) + Type: JOIN, NESTED, AGGREGATION + +[541] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Which states have both owners and professionals living there + Pred: SELECT state FROM professionals GROUP BY state HAVING COUNT(*) = 2 + Gold: SELECT state FROM Owners INTERSECT SELECT state FROM Professionals + Type: SIMPLE + +[542] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Find the states where both owners and professionals live + Pred: SELECT state FROM professionals GROUP BY state HAVING COUNT(*) = 2 + Gold: SELECT state FROM Owners INTERSECT SELECT state FROM Professionals + Type: SIMPLE + +[543] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : What is the average age of the dogs who have gone through any treatments + Pred: SELECT AVG(age) FROM dogs AS T1 JOIN treatments AS T2 ON T1.dog_id = T2.dog_id + Gold: SELECT AVG(age) FROM Dogs WHERE dog_id IN (SELECT dog_id FROM Treatments) + Type: NESTED, AGGREGATION + +[544] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Find the average age of the dogs who went through treatments + Pred: SELECT AVG(age) FROM dogs AS T1 JOIN treatments AS T2 ON T1.dog_id = T2.dog_id + Gold: SELECT AVG(age) FROM Dogs WHERE dog_id IN (SELECT dog_id FROM Treatments) + Type: NESTED, AGGREGATION + +[545] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : 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 + Pred: SELECT T1.professional_id, T1.last_name, T1.cell_phone FROM professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id WHERE T1.state = "Indiana" GROUP BY T1.professional_id HAVING COUNT(*) > 2 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[546] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : 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 + Pred: SELECT T2.professional_id, T2.last_name, T2.home_phone FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id WHERE T1.state = "Indiana" GROUP BY T2.professional_id HAVING COUNT(*) > 2 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[547] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Which dogs have not cost their owner more than 1000 for treatment ? List the dog names + Pred: SELECT name FROM dogs WHERE cost_of_treatment 1000 EXCEPT SELECT T1.name FROM dogs AS T1 JOIN treatments AS T2 ON T1.dog_id = T2.dog_id + Gold: SELECT name FROM dogs WHERE NOT dog_id IN (SELECT dog_id FROM treatments GROUP BY dog_id HAVING SUM(cost_of_treatment) > 1000) + Type: GROUP_BY, HAVING, NESTED, AGGREGATION + +[548] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : What are the names of the dogs for which the owner has not spend more than 1000 for treatment + Pred: SELECT T2.name FROM treatments AS T1 JOIN dogs AS T2 ON T1.dog_id = T2.dog_id GROUP BY T2.owner_id HAVING COUNT(*) 1000 + Gold: SELECT name FROM dogs WHERE NOT dog_id IN (SELECT dog_id FROM treatments GROUP BY dog_id HAVING SUM(cost_of_treatment) > 1000) + Type: GROUP_BY, HAVING, NESTED, AGGREGATION + +[549] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Which first names are used for professionals or owners but are not used as dog names + Pred: SELECT first_name FROM professionals UNION SELECT first_name FROM owners WHERE last_name = "Dog" EXCEPT SELECT T1.first_name FROM professionals AS T1 JOIN dogs AS T2 ON T1.professional_id = T2.professional_id + Gold: SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs + Type: SIMPLE + +[550] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Find the first names that are used for professionals or owners but are not used as dog names + Pred: SELECT first_name FROM professionals OR owners EXCEPT SELECT T1.first_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id + Gold: SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs + Type: SIMPLE + +[551] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Which professional did not operate any treatment on dogs? List the professional's id, role and email + Pred: SELECT professional_id, role_code, email_address FROM treatments WHERE NOT professional_id IN (SELECT professional_id FROM dogs) + Gold: 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 + Type: JOIN + +[552] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Give me the id, role and email of the professionals who did not perform any treatment on dogs + Pred: SELECT professional_id, role_code, email_address FROM professionals WHERE NOT professional_id IN (SELECT professional_id FROM treatments WHERE dog_id = 'dog') + Gold: 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 + Type: JOIN + +[553] WRONG_TABLE | DB: dog_kennels | EX: ✓ + Q : Which owner owns the most dogs? List the owner id, first name and last name + Pred: SELECT T1.owner_id, T1.first_name, T1.last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[554] WRONG_TABLE | DB: dog_kennels | EX: ✓ + Q : Return the owner id, first name and last name of the owner who has the most dogs + Pred: SELECT T1.owner_id, T1.first_name, T1.last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[555] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : Which professionals have done at least two treatments? List the professional's id, role, and first name + Pred: SELECT T1.professional_id, T1.role, 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: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[556] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : What are the id, role, and first name of the professionals who have performed two or more treatments + Pred: SELECT T2.professional_id, T2.role_code, T1.first_name FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id GROUP BY T2.professional_id HAVING COUNT(*) >= 2 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[557] WRONG_TABLE | DB: dog_kennels | EX: ✓ + Q : What is the name of the breed with the most dogs + Pred: SELECT T2.breed_name FROM dogs AS T1 JOIN breeds AS T2 ON T1.breed_code = T2.breed_code GROUP BY T2.breed_code ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[558] WRONG_TABLE | DB: dog_kennels | EX: ✓ + Q : Which breed do the most dogs have? Give me the breed name + Pred: SELECT T2.breed_name FROM dogs AS T1 JOIN breeds AS T2 ON T1.breed_code = T2.breed_code GROUP BY T2.breed_code ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[559] OTHER | DB: dog_kennels | EX: ✗ + Q : Which owner has paid for the most treatments on his or her dogs? List the owner id and last name + Pred: SELECT T1.owner_id, T1.last_name FROM owners AS T1 JOIN treatments AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[560] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Tell me the owner id and last name of the owner who spent the most on treatments of his or her dogs + Pred: SELECT T1.owner_id, T2.last_name FROM treatments AS T1 JOIN dogs AS T2 ON T1.dog_id = T2.owner_id GROUP BY T1.owner_id ORDER BY COUNT(*) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[561] OTHER | DB: dog_kennels | EX: ✓ + Q : What is the description of the treatment type that costs the least money in total + Pred: 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) LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[562] WRONG_TABLE | DB: dog_kennels | EX: ✓ + Q : Give me the description of the treatment type whose total cost is the lowest + Pred: SELECT T2.treatment_type_description FROM treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY SUM(cost_of_treatment) LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[563] OTHER | DB: dog_kennels | EX: ✗ + Q : Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code + Pred: SELECT T1.owner_id, T1.zip_code FROM owners AS T1 JOIN charges AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY SUM(T2.charge_amount) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[564] OTHER | DB: dog_kennels | EX: ✗ + Q : Find the owner id and zip code of the owner who spent the most money in total for his or her dogs + Pred: SELECT T1.owner_id, T1.zip_code FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY SUM(T2.cost_of_treatment) DESC LIMIT 1 + Gold: 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 + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, AGGREGATION + +[565] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Which professionals have done at least two types of treatments? List the professional id and cell phone + Pred: SELECT T1.professional_id, T2.cell_phone FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING COUNT(*) >= 2 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[566] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Find the id and cell phone of the professionals who operate two or more types of treatments + Pred: SELECT professional_id, cell_number FROM treatments GROUP BY professional_id HAVING COUNT(*) >= 2 + Gold: 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 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[567] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : What are the first name and last name of the professionals who have done treatment with cost below average + Pred: SELECT T2.first_name, T2.last_name FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id WHERE T1.cost_of_treatment (SELECT AVG(cost_of_treatment) FROM treatments) + Gold: SELECT DISTINCT T1.first_name, T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON TRUE WHERE cost_of_treatment < (SELECT AVG(cost_of_treatment) FROM Treatments) + Type: JOIN, NESTED, AGGREGATION + +[568] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : Which professionals have operated a treatment that costs less than the average? Give me theor first names and last names + Pred: SELECT T1.first_name, T1.last_name FROM professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id WHERE T2.cost_of_treatment (SELECT AVG(cost_of_treatment) FROM treatments) + Gold: SELECT DISTINCT T1.first_name, T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 ON TRUE WHERE cost_of_treatment < (SELECT AVG(cost_of_treatment) FROM Treatments) + Type: JOIN, NESTED, AGGREGATION + +[569] MISSING_JOIN | DB: dog_kennels | EX: ✗ + Q : List the cost of each treatment and the corresponding treatment type description + Pred: SELECT cost_of_treatment, treatment_type_description FROM treatments + Gold: 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 + Type: JOIN + +[570] MISSING_JOIN | DB: dog_kennels | EX: ✗ + Q : What are the cost and treatment type description of each treatment + Pred: SELECT cost_of_treatment, treatment_type_description FROM treatments + Gold: 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 + Type: JOIN + +[571] OTHER | DB: dog_kennels | EX: ✓ + Q : List each owner's first name, last name, and the size of his for her dog + Pred: 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 JOIN sizes AS T3 ON T2.size_code = T3.size_code + Gold: 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 + Type: JOIN + +[572] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : What are each owner's first name, last name, and the size of their dog + Pred: SELECT T1.first_name, T1.last_name, T2.size_description FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id + Gold: 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 + Type: JOIN + +[573] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : List pairs of the owner's first name and the dogs's name + Pred: SELECT T2.first_name, T2.last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id + Gold: SELECT T1.first_name, T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id + Type: JOIN + +[574] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : What are each owner's first name and their dogs's name + Pred: SELECT T1.first_name, T2.last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id + Gold: SELECT T1.first_name, T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id + Type: JOIN + +[575] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : List the names of the dogs of the rarest breed and the treatment dates of them + Pred: SELECT T2.name, T2.date_of_treatment FROM breeds AS T1 JOIN dogs AS T2 ON T1.breed_code = T2.breed_code ORDER BY T1.breed_name LIMIT 1 + Gold: 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) + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, NESTED, AGGREGATION + +[576] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Which dogs are of the rarest breed? Show their names and treatment dates + Pred: SELECT T2.name, T2.date_of_treatment FROM breeds AS T1 JOIN dogs AS T2 ON T1.breed_code = T2.breed_code ORDER BY T1.breed_code LIMIT 1 + Gold: 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) + Type: JOIN, GROUP_BY, ORDER_BY, LIMIT, NESTED, AGGREGATION + +[577] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : Which dogs are owned by someone who lives in Virginia? List the owner's first name and the dog's name + Pred: SELECT T2.first_name, T2.name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.city = "Virginia" + Gold: 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' + Type: JOIN + +[578] MISSING_JOIN | DB: dog_kennels | EX: ✗ + Q : Find the first names of owners living in Virginia and the names of dogs they own + Pred: SELECT first_name, last_name FROM owners WHERE city = "Virginia" + Gold: 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' + Type: JOIN + +[579] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : What are the arriving date and the departing date of the dogs who have gone through a treatment + Pred: SELECT date_arrived, date_departed FROM dogs AS T1 JOIN treatments AS T2 ON T1.dog_id = T2.dog_id + Gold: SELECT DISTINCT T1.date_arrived, T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id + Type: JOIN + +[580] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Find the arriving date and the departing date of the dogs that received a treatment + Pred: SELECT date_arrived, date_departed FROM treatments AS T1 JOIN dogs AS T2 ON T1.dog_id = T2.dog_id + Gold: SELECT DISTINCT T1.date_arrived, T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id + Type: JOIN + +[581] MISSING_JOIN | DB: dog_kennels | EX: ✗ + Q : List the last name of the owner owning the youngest dog + Pred: SELECT last_name FROM owners WHERE age = (SELECT MIN(age) FROM dogs) + Gold: 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) + Type: JOIN, NESTED, AGGREGATION + +[582] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : Who owns the youngest dog? Give me his or her last name + Pred: SELECT T1.last_name FROM owners AS T1 JOIN dogs AS T2 ON T1.owner_id = T2.owner_id ORDER BY T2.age LIMIT 1 + Gold: 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) + Type: JOIN, NESTED, AGGREGATION + +[583] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : How many dogs went through any treatments + Pred: SELECT COUNT(*) FROM treatments + Gold: SELECT COUNT(DISTINCT dog_id) FROM Treatments + Type: AGGREGATION + +[584] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : Count the number of dogs that went through a treatment + Pred: SELECT COUNT(*) FROM treatments + Gold: SELECT COUNT(DISTINCT dog_id) FROM Treatments + Type: AGGREGATION + +[585] EXTRA_JOIN | DB: dog_kennels | EX: ✗ + Q : How many professionals have performed any treatment to dogs + Pred: SELECT COUNT(*) FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id WHERE T2.first_name = "dog" + Gold: SELECT COUNT(DISTINCT professional_id) FROM Treatments + Type: AGGREGATION + +[586] EXTRA_JOIN | DB: dog_kennels | EX: ✗ + Q : Find the number of professionals who have ever treated dogs + Pred: SELECT COUNT(*) FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id WHERE T2.first_name = "dog" + Gold: SELECT COUNT(DISTINCT professional_id) FROM Treatments + Type: AGGREGATION + +[587] OTHER | DB: dog_kennels | EX: ✗ + Q : How many dogs have an age below the average + Pred: SELECT COUNT(*) FROM dogs WHERE age (SELECT AVG(age) FROM dogs) + Gold: SELECT COUNT(*) FROM Dogs WHERE age < (SELECT AVG(age) FROM Dogs) + Type: NESTED, AGGREGATION + +[588] OTHER | DB: dog_kennels | EX: ✗ + Q : Count the number of dogs of an age below the average + Pred: SELECT COUNT(*) FROM dogs WHERE age (SELECT AVG(age) FROM dogs) + Gold: SELECT COUNT(*) FROM Dogs WHERE age < (SELECT AVG(age) FROM Dogs) + Type: NESTED, AGGREGATION + +[589] OTHER | DB: dog_kennels | EX: ✗ + Q : How many professionals did not operate any treatment on dogs + Pred: SELECT COUNT(*) FROM professionals WHERE NOT professional_id IN (SELECT professional_id FROM treatments WHERE NOT dog_id IN) + Gold: SELECT COUNT(*) FROM Professionals WHERE NOT professional_id IN (SELECT professional_id FROM Treatments) + Type: NESTED, AGGREGATION + +[590] OTHER | DB: dog_kennels | EX: ✓ + Q : List the dog name, age and weight of the dogs who have been abandoned? 1 stands for yes, and 0 stands for no + Pred: SELECT name, age, weight FROM dogs WHERE abandoned_yn = 1 INTERSECT SELECT name, age, weight FROM dogs + Gold: SELECT name, age, weight FROM Dogs WHERE abandoned_yn = 1 + Type: SIMPLE + +[591] OTHER | DB: dog_kennels | EX: ✓ + Q : 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 + Pred: SELECT name, age, weight FROM dogs WHERE abandoned_yn = 1 INTERSECT SELECT name, age, weight FROM dogs + Gold: SELECT name, age, weight FROM Dogs WHERE abandoned_yn = 1 + Type: SIMPLE + +[592] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : What is the age of the oldest dog + Pred: SELECT age FROM dogs ORDER BY age LIMIT 1 + Gold: SELECT MAX(age) FROM Dogs + Type: AGGREGATION + +[593] WRONG_COLUMNS | DB: dog_kennels | EX: ✓ + Q : Tell me the age of the oldest dog + Pred: SELECT age FROM dogs ORDER BY age DESC LIMIT 1 + Gold: SELECT MAX(age) FROM Dogs + Type: AGGREGATION + +[594] OTHER | DB: dog_kennels | EX: ✓ + Q : How much does each charge type costs? List both charge type and amount + Pred: SELECT charge_type, charge_amount FROM charges GROUP BY charge_type + Gold: SELECT charge_type, charge_amount FROM Charges + Type: SIMPLE + +[595] WRONG_COLUMNS | DB: dog_kennels | EX: ✓ + Q : How much does the most expensive charge type costs + Pred: SELECT charge_amount FROM charges ORDER BY charge_type DESC LIMIT 1 + Gold: SELECT MAX(charge_amount) FROM Charges + Type: AGGREGATION + +[596] WRONG_COLUMNS | DB: dog_kennels | EX: ✓ + Q : What is the charge amount of the most expensive charge type + Pred: SELECT charge_amount FROM charges ORDER BY charge_type DESC LIMIT 1 + Gold: SELECT MAX(charge_amount) FROM Charges + Type: AGGREGATION + +[597] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : List the email, cell phone and home phone of all the professionals + Pred: SELECT email_address, cell_phone, home_phone FROM professionals + Gold: SELECT email_address, cell_number, home_phone FROM professionals + Type: SIMPLE + +[598] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : What are the email, cell phone and home phone of each professional + Pred: SELECT email_address, cell_phone, home_phone FROM professionals + Gold: SELECT email_address, cell_number, home_phone FROM professionals + Type: SIMPLE + +[599] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : What are all the possible breed type and size type combinations + Pred: SELECT DISTINCT breed_code, size_type FROM sizes + Gold: SELECT DISTINCT breed_code, size_code FROM dogs + Type: SIMPLE + +[600] WRONG_COLUMNS | DB: dog_kennels | EX: ✗ + Q : List the first name of all the professionals along with the description of the treatment they have done + Pred: SELECT T1.first_name, T2.treatment_type_description FROM professionals AS T1 JOIN treatments AS T2 ON T1.professional_id = T2.professional_id + Gold: 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 + Type: JOIN + +[601] WRONG_TABLE | DB: dog_kennels | EX: ✗ + Q : What are each professional's first name and description of the treatment they have performed + Pred: SELECT T2.first_name, T2.treatment_type_description FROM treatments AS T1 JOIN professionals AS T2 ON T1.professional_id = T2.professional_id + Gold: 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 + Type: JOIN + +[602] OTHER | DB: singer | EX: ✗ + Q : List the name of singers whose citizenship is not "France" + Pred: SELECT Name FROM singer WHERE Citizenship > "France" + Gold: SELECT Name FROM singer WHERE Citizenship <> "France" + Type: SIMPLE + +[603] OTHER | DB: singer | EX: ✗ + Q : What are the names of the singers who are not French citizens + Pred: SELECT name FROM singer WHERE citizenship > 'France' + Gold: SELECT Name FROM singer WHERE Citizenship <> "France" + Type: SIMPLE + +[604] WRONG_COLUMNS | DB: singer | EX: ✗ + Q : Show titles of songs and names of singers + Pred: SELECT T3.Title, T2.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID + Gold: SELECT T2.Title, T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID + Type: JOIN + +[605] WRONG_COLUMNS | DB: singer | EX: ✗ + Q : What are the song titles and singer names + Pred: SELECT T2.Title, T3.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID + Gold: SELECT T2.Title, T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID + Type: JOIN + +[606] WRONG_TABLE | DB: singer | EX: ✓ + Q : Show distinct names of singers that have songs with sales more than 300000 + Pred: SELECT DISTINCT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Sales > 300000 + Gold: SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000 + Type: JOIN + +[607] WRONG_TABLE | DB: singer | EX: ✓ + Q : what are the different names of the singers that have sales more than 300000 + Pred: SELECT DISTINCT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T1.Sales > 300000 + Gold: SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000 + Type: JOIN + +[608] WRONG_TABLE | DB: singer | EX: ✓ + Q : Show the names of singers that have more than one song + Pred: SELECT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T2.Name HAVING COUNT(*) > 1 + Gold: SELECT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[609] WRONG_TABLE | DB: singer | EX: ✓ + Q : What are the names of the singers that have more than one songs + Pred: SELECT T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Singer_ID HAVING COUNT(*) > 1 + Gold: SELECT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name HAVING COUNT(*) > 1 + Type: JOIN, GROUP_BY, HAVING, AGGREGATION + +[610] WRONG_TABLE | DB: singer | EX: ✓ + Q : Show the names of singers and the total sales of their songs + Pred: SELECT T2.Name, SUM(T1.Sales) FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T2.Name + Gold: SELECT T1.Name, SUM(T2.Sales) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name + Type: JOIN, GROUP_BY, AGGREGATION + +[611] WRONG_TABLE | DB: singer | EX: ✗ + Q : For each singer name, what is the total sales for their songs + Pred: SELECT SUM(T1.sales), T2.Name FROM song AS T1 JOIN singer AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T2.Name + Gold: SELECT T1.Name, SUM(T2.Sales) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name + Type: JOIN, GROUP_BY, AGGREGATION + +[612] OTHER | DB: singer | EX: ✗ + Q : Show the citizenship shared by singers with birth year before 1945 and after 1955 + Pred: SELECT citizenship FROM singer WHERE Birth_Year 1945 INTERSECT SELECT citizenship FROM singer WHERE Birth_Year > 1955 + Gold: SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955 + Type: SIMPLE + +[613] OTHER | DB: singer | EX: ✗ + Q : What are the citizenships that are shared by singers with a birth year before 1945 and after 1955 + Pred: SELECT citizenship FROM singer WHERE birth_year 1945 INTERSECT SELECT citizenship FROM singer WHERE birth_year > 1955 + Gold: SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955 + Type: SIMPLE + +[614] WRONG_TABLE | DB: real_estate_properties | EX: ✗ + Q : What is the feature type name of feature AirCon + Pred: SELECT T1.feature_type_name FROM Ref_Feature_Types AS T1 JOIN Other_available_features AS T2 ON T1.feature_type_code = T2.feature_type_code WHERE T2.hse_feature_1 = 'AirCon' + Gold: SELECT T2.feature_type_name FROM Other_Available_Features AS T1 JOIN Ref_Feature_Types AS T2 ON T1.feature_type_code = T2.feature_type_code WHERE T1.feature_name = "AirCon" + Type: JOIN + +[615] WRONG_TABLE | DB: real_estate_properties | EX: ✗ + Q : Show the property type descriptions of properties belonging to that code + Pred: SELECT T1.property_type_description FROM Ref_Property_Types AS T1 JOIN Properties AS T2 ON T1.property_type_code = T2.property_type_code + Gold: SELECT T2.property_type_description FROM Properties AS T1 JOIN Ref_Property_Types AS T2 ON T1.property_type_code = T2.property_type_code GROUP BY T1.property_type_code + Type: JOIN, GROUP_BY + +[616] OTHER | DB: real_estate_properties | EX: ✗ + Q : What are the names of properties that are either houses or apartments with more than 1 room + Pred: SELECT property_name FROM properties WHERE room_count > 1 UNION SELECT property_name FROM properties WHERE room_count > 1 + Gold: SELECT property_name FROM Properties WHERE property_type_code = "House" UNION SELECT property_name FROM Properties WHERE property_type_code = "Apartment" AND room_count > 1 + Type: SIMPLE +