[ { "question_text": "How many flights land in Aberdeen or Abilene?", "database_name": "flight_2", "gold_sql": "SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = \"Aberdeen\" OR T2.city = \"Abilene\"", "gold_answer": 0, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "Airports", "Flights" ], "split": "eval", "question_id": "flight_2_eval_000" }, { "question_text": "Find the first name of students who have cat or dog pet.", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": [ "Linda", "Tracy" ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_000" }, { "question_text": "What are the first names of every student who has a cat or dog as a pet?", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": [ "Linda", "Tracy" ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_001" }, { "question_text": "Find the first name and age of students who have a pet.", "database_name": "pets_1", "gold_sql": "SELECT DISTINCT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid", "gold_answer": [ [ "Linda", 18 ], [ "Tracy", 19 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_002" }, { "question_text": "What are the different first names and ages of the students who do have pets?", "database_name": "pets_1", "gold_sql": "SELECT DISTINCT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid", "gold_answer": [ [ "Linda", 18 ], [ "Tracy", 19 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_003" }, { "question_text": "What are the students' first names who have both cats and dogs as pets?", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": [], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_004" }, { "question_text": "Find the first name and age of students who have a dog but do not have a cat as a pet.", "database_name": "pets_1", "gold_sql": "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 T1.stuid NOT 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')", "gold_answer": [ [ "Tracy", 19 ], [ "Tracy", 19 ] ], "answer_type": "table", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_005" }, { "question_text": "What is the first name of every student who has a dog but does not have a cat?", "database_name": "pets_1", "gold_sql": "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 T1.stuid NOT 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')", "gold_answer": [ [ "Tracy", 19 ], [ "Tracy", 19 ] ], "answer_type": "table", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_006" }, { "question_text": "Find the first name and gender of student who have more than one pet.", "database_name": "pets_1", "gold_sql": "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", "gold_answer": [ [ "Tracy", "F" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_007" }, { "question_text": "What is the first name and gender of the all the students who have more than one pet?", "database_name": "pets_1", "gold_sql": "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", "gold_answer": [ [ "Tracy", "F" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_008" }, { "question_text": "Find the last name of the student who has a cat that is age 3.", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": "Smith", "answer_type": "string", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_009" }, { "question_text": "What is the last name of the student who has a cat that is 3 years old?", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": "Smith", "answer_type": "string", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_010" }, { "question_text": "Find the id of the pet owned by student whose last name is ‘Smith’.", "database_name": "pets_1", "gold_sql": "SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.Lname = 'Smith'", "gold_answer": 2001, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_011" }, { "question_text": "What is the id of the pet owned by the student whose last name is 'Smith'?", "database_name": "pets_1", "gold_sql": "SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.Lname = 'Smith'", "gold_answer": 2001, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_012" }, { "question_text": "Find the average and maximum age for each type of pet.", "database_name": "pets_1", "gold_sql": "SELECT avg(pet_age) , max(pet_age) , pettype FROM pets GROUP BY pettype", "gold_answer": [ [ 3.0, 3, "cat" ], [ 1.5, 2, "dog" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_013" }, { "question_text": "What is the average and maximum age for each pet type?", "database_name": "pets_1", "gold_sql": "SELECT avg(pet_age) , max(pet_age) , pettype FROM pets GROUP BY pettype", "gold_answer": [ [ 3.0, 3, "cat" ], [ 1.5, 2, "dog" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_014" }, { "question_text": "Find the average weight for each pet type.", "database_name": "pets_1", "gold_sql": "SELECT avg(weight) , pettype FROM pets GROUP BY pettype", "gold_answer": [ [ 12.0, "cat" ], [ 11.350000000000001, "dog" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_015" }, { "question_text": "What is the average weight for each type of pet?", "database_name": "pets_1", "gold_sql": "SELECT avg(weight) , pettype FROM pets GROUP BY pettype", "gold_answer": [ [ 12.0, "cat" ], [ 11.350000000000001, "dog" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_016" }, { "question_text": "Find the number of pets for each student who has any pet and student id.", "database_name": "pets_1", "gold_sql": "SELECT count(*) , T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid GROUP BY T1.stuid", "gold_answer": [ [ 1, 1001 ], [ 2, 1002 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_017" }, { "question_text": "Find the number of pets whose weight is heavier than 10.", "database_name": "pets_1", "gold_sql": "SELECT count(*) FROM pets WHERE weight > 10", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_018" }, { "question_text": "How many pets have a greater weight than 10?", "database_name": "pets_1", "gold_sql": "SELECT count(*) FROM pets WHERE weight > 10", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_019" }, { "question_text": "Find the number of dog pets that are raised by female students (with sex F).", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": 2, "answer_type": "integer", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_020" }, { "question_text": "How many dog pets are raised by female students?", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": 2, "answer_type": "integer", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_021" }, { "question_text": "Find number of pets owned by students who are older than 20.", "database_name": "pets_1", "gold_sql": "SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20", "gold_answer": 0, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_022" }, { "question_text": "How many pets are owned by students that have an age greater than 20?", "database_name": "pets_1", "gold_sql": "SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20", "gold_answer": 0, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_023" }, { "question_text": "Find the number of distinct type of pets.", "database_name": "pets_1", "gold_sql": "SELECT count(DISTINCT pettype) FROM pets", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_024" }, { "question_text": "How many different types of pet are there?", "database_name": "pets_1", "gold_sql": "SELECT count(DISTINCT pettype) FROM pets", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_025" }, { "question_text": "Find the major and age of students who do not have a cat pet.", "database_name": "pets_1", "gold_sql": "SELECT major , age FROM student WHERE stuid NOT 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')", "gold_answer": [ [ 600, 19 ], [ 600, 21 ], [ 600, 20 ], [ 600, 26 ], [ 600, 18 ], [ 600, 18 ], [ 600, 20 ], [ 600, 19 ], [ 600, 17 ], [ 600, 22 ], [ 600, 20 ], [ 600, 18 ], [ 600, 16 ], [ 600, 17 ], [ 600, 27 ], [ 600, 20 ], [ 600, 18 ], [ 520, 22 ], [ 520, 19 ], [ 540, 17 ], [ 520, 20 ], [ 540, 18 ], [ 520, 18 ], [ 520, 19 ], [ 520, 18 ], [ 550, 20 ], [ 100, 17 ], [ 550, 21 ], [ 550, 20 ], [ 550, 20 ], [ 550, 18 ], [ 50, 18 ], [ 50, 26 ] ], "answer_type": "table", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_026" }, { "question_text": "What major is every student who does not own a cat as a pet, and also how old are they?", "database_name": "pets_1", "gold_sql": "SELECT major , age FROM student WHERE stuid NOT 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')", "gold_answer": [ [ 600, 19 ], [ 600, 21 ], [ 600, 20 ], [ 600, 26 ], [ 600, 18 ], [ 600, 18 ], [ 600, 20 ], [ 600, 19 ], [ 600, 17 ], [ 600, 22 ], [ 600, 20 ], [ 600, 18 ], [ 600, 16 ], [ 600, 17 ], [ 600, 27 ], [ 600, 20 ], [ 600, 18 ], [ 520, 22 ], [ 520, 19 ], [ 540, 17 ], [ 520, 20 ], [ 540, 18 ], [ 520, 18 ], [ 520, 19 ], [ 520, 18 ], [ 550, 20 ], [ 100, 17 ], [ 550, 21 ], [ 550, 20 ], [ 550, 20 ], [ 550, 18 ], [ 50, 18 ], [ 50, 26 ] ], "answer_type": "table", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_027" }, { "question_text": "Find the maximum weight for each type of pet. List the maximum weight and pet type.", "database_name": "pets_1", "gold_sql": "SELECT max(weight) , petType FROM pets GROUP BY petType", "gold_answer": [ [ 12.0, "cat" ], [ 13.4, "dog" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_028" }, { "question_text": "List the maximum weight and type for each type of pet.", "database_name": "pets_1", "gold_sql": "SELECT max(weight) , petType FROM pets GROUP BY petType", "gold_answer": [ [ 12.0, "cat" ], [ 13.4, "dog" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_029" }, { "question_text": "Find the id and weight of all pets whose age is older than 1.", "database_name": "pets_1", "gold_sql": "SELECT petid , weight FROM pets WHERE pet_age > 1", "gold_answer": [ [ 2001, 12.0 ], [ 2002, 13.4 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_030" }, { "question_text": "What is the id and weight of every pet who is older than 1?", "database_name": "pets_1", "gold_sql": "SELECT petid , weight FROM pets WHERE pet_age > 1", "gold_answer": [ [ 2001, 12.0 ], [ 2002, 13.4 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_031" }, { "question_text": "Find the type and weight of the youngest pet.", "database_name": "pets_1", "gold_sql": "SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1", "gold_answer": [ [ "dog", 9.3 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_032" }, { "question_text": "What type of pet is the youngest animal, and how much does it weigh?", "database_name": "pets_1", "gold_sql": "SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1", "gold_answer": [ [ "dog", 9.3 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_033" }, { "question_text": "Find the id of students who do not have a cat pet.", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": [ 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035 ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_034" }, { "question_text": "What are the ids of the students who do not own cats as pets?", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": [ 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035 ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_035" }, { "question_text": "Find the weight of the youngest dog.", "database_name": "pets_1", "gold_sql": "SELECT weight FROM pets ORDER BY pet_age LIMIT 1", "gold_answer": 9.3, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_036" }, { "question_text": "How much does the youngest dog weigh?", "database_name": "pets_1", "gold_sql": "SELECT weight FROM pets ORDER BY pet_age LIMIT 1", "gold_answer": 9.3, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "pets" ], "split": "eval", "question_id": "pets_1_eval_037" }, { "question_text": "Find the average age of students who do not have any pet .", "database_name": "pets_1", "gold_sql": "select avg(age) from student where stuid not in (select stuid from has_pet)", "gold_answer": 19.625, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_038" }, { "question_text": "What is the average age for all students who do not own any pets ?", "database_name": "pets_1", "gold_sql": "select avg(age) from student where stuid not in (select stuid from has_pet)", "gold_answer": 19.625, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_039" }, { "question_text": "For students who have pets , how many pets does each student have ? list their ids instead of names .", "database_name": "pets_1", "gold_sql": "select count(*) , t1.stuid from student as t1 join has_pet as t2 on t1.stuid = t2.stuid group by t1.stuid", "gold_answer": [ [ 1, 1001 ], [ 2, 1002 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "has_pet", "student" ], "split": "eval", "question_id": "pets_1_eval_040" }, { "question_text": "Find the first name of students who have both cat and dog pets .", "database_name": "pets_1", "gold_sql": "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'", "gold_answer": [], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "has_pet", "pets", "student" ], "split": "eval", "question_id": "pets_1_eval_041" }, { "question_text": "List the earnings of poker players in descending order.", "database_name": "poker_player", "gold_sql": "SELECT Earnings FROM poker_player ORDER BY Earnings DESC", "gold_answer": [ 596462.0, 476090.0, 189233.0, 142800.0, 104871.0 ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_000" }, { "question_text": "What are the earnings of poker players, ordered descending by value?", "database_name": "poker_player", "gold_sql": "SELECT Earnings FROM poker_player ORDER BY Earnings DESC", "gold_answer": [ 596462.0, 476090.0, 189233.0, 142800.0, 104871.0 ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_001" }, { "question_text": "List the final tables made and the best finishes of poker players.", "database_name": "poker_player", "gold_sql": "SELECT Final_Table_Made , Best_Finish FROM poker_player", "gold_answer": [ [ 42.0, 1.0 ], [ 10.0, 2.0 ], [ 21.0, 1.0 ], [ 19.0, 2.0 ], [ 26.0, 3.0 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_002" }, { "question_text": "What are the final tables made and best finishes for all poker players?", "database_name": "poker_player", "gold_sql": "SELECT Final_Table_Made , Best_Finish FROM poker_player", "gold_answer": [ [ 42.0, 1.0 ], [ 10.0, 2.0 ], [ 21.0, 1.0 ], [ 19.0, 2.0 ], [ 26.0, 3.0 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_003" }, { "question_text": "Return the money rank of the player with the greatest earnings.", "database_name": "poker_player", "gold_sql": "SELECT Money_Rank FROM poker_player ORDER BY Earnings DESC LIMIT 1", "gold_answer": 58.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_004" }, { "question_text": "What is the money rank of the poker player with the highest earnings?", "database_name": "poker_player", "gold_sql": "SELECT Money_Rank FROM poker_player ORDER BY Earnings DESC LIMIT 1", "gold_answer": 58.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_005" }, { "question_text": "List the names and birth dates of people in ascending alphabetical order of name.", "database_name": "poker_player", "gold_sql": "SELECT Name , Birth_Date FROM people ORDER BY Name ASC", "gold_answer": [ [ "Aleksey Ostapenko", "May 26, 1986" ], [ "Maksim Botin", "July 14, 1983" ], [ "Roman Bragin", "April 17, 1987" ], [ "Semen Poltavskiy", "February 8, 1981" ], [ "Sergey Grankin", "January 22, 1987" ], [ "Teodor Salparov", "August 16, 1982" ], [ "Yevgeni Sivozhelez", "August 8, 1986" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_006" }, { "question_text": "What are the names and birth dates of people, ordered by their names in alphabetical order?", "database_name": "poker_player", "gold_sql": "SELECT Name , Birth_Date FROM people ORDER BY Name ASC", "gold_answer": [ [ "Aleksey Ostapenko", "May 26, 1986" ], [ "Maksim Botin", "July 14, 1983" ], [ "Roman Bragin", "April 17, 1987" ], [ "Semen Poltavskiy", "February 8, 1981" ], [ "Sergey Grankin", "January 22, 1987" ], [ "Teodor Salparov", "August 16, 1982" ], [ "Yevgeni Sivozhelez", "August 8, 1986" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_007" }, { "question_text": "Show names of people whose nationality is not \"Russia\".", "database_name": "poker_player", "gold_sql": "SELECT Name FROM people WHERE Nationality != \"Russia\"", "gold_answer": "Teodor Salparov", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_008" }, { "question_text": "What are the names of people who are not from Russia?", "database_name": "poker_player", "gold_sql": "SELECT Name FROM people WHERE Nationality != \"Russia\"", "gold_answer": "Teodor Salparov", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_009" }, { "question_text": "List the names of people that are not poker players.", "database_name": "poker_player", "gold_sql": "SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID FROM poker_player)", "gold_answer": [ "Roman Bragin", "Sergey Grankin" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_010" }, { "question_text": "What are the names of people who do not play poker?", "database_name": "poker_player", "gold_sql": "SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID FROM poker_player)", "gold_answer": [ "Roman Bragin", "Sergey Grankin" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_011" }, { "question_text": "How many people are there of each nationality?", "database_name": "poker_player", "gold_sql": "SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality", "gold_answer": [ [ "Bulgaria", 1 ], [ "Russia", 6 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_012" }, { "question_text": "What are different nationalities of people and the corresponding number of people from each nation?", "database_name": "poker_player", "gold_sql": "SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality", "gold_answer": [ [ "Bulgaria", 1 ], [ "Russia", 6 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_013" }, { "question_text": "Return the nationalities for which there are two or more people.", "database_name": "poker_player", "gold_sql": "SELECT Nationality FROM people GROUP BY Nationality HAVING COUNT(*) >= 2", "gold_answer": "Russia", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_014" }, { "question_text": "What are the nationalities that are shared by at least two people?", "database_name": "poker_player", "gold_sql": "SELECT Nationality FROM people GROUP BY Nationality HAVING COUNT(*) >= 2", "gold_answer": "Russia", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_015" }, { "question_text": "Give the nationality that is most common across all people.", "database_name": "poker_player", "gold_sql": "SELECT Nationality FROM people GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1", "gold_answer": "Russia", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_016" }, { "question_text": "What is the most common nationality of people?", "database_name": "poker_player", "gold_sql": "SELECT Nationality FROM people GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1", "gold_answer": "Russia", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_017" }, { "question_text": "Return the birth date of the poker player with the lowest earnings.", "database_name": "poker_player", "gold_sql": "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", "gold_answer": "August 8, 1986", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_018" }, { "question_text": "What is the birth date of the poker player with the lowest earnings?", "database_name": "poker_player", "gold_sql": "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", "gold_answer": "August 8, 1986", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_019" }, { "question_text": "Return the names of all the poker players.", "database_name": "poker_player", "gold_sql": "SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID", "gold_answer": [ "Aleksey Ostapenko", "Teodor Salparov", "Yevgeni Sivozhelez", "Maksim Botin", "Semen Poltavskiy" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_020" }, { "question_text": "What are the names of poker players?", "database_name": "poker_player", "gold_sql": "SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID", "gold_answer": [ "Aleksey Ostapenko", "Teodor Salparov", "Yevgeni Sivozhelez", "Maksim Botin", "Semen Poltavskiy" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_021" }, { "question_text": "Return the names of poker players sorted by their earnings descending.", "database_name": "poker_player", "gold_sql": "SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings DESC", "gold_answer": [ "Maksim Botin", "Aleksey Ostapenko", "Teodor Salparov", "Semen Poltavskiy", "Yevgeni Sivozhelez" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_022" }, { "question_text": "What are the names of poker players in descending order of earnings?", "database_name": "poker_player", "gold_sql": "SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings DESC", "gold_answer": [ "Maksim Botin", "Aleksey Ostapenko", "Teodor Salparov", "Semen Poltavskiy", "Yevgeni Sivozhelez" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_023" }, { "question_text": "List the names of poker players ordered by the final tables made in ascending order.", "database_name": "poker_player", "gold_sql": "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", "gold_answer": [ "Teodor Salparov", "Maksim Botin", "Yevgeni Sivozhelez", "Semen Poltavskiy", "Aleksey Ostapenko" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_024" }, { "question_text": "What are the names of poker players, ordered ascending by the number of final tables they have made?", "database_name": "poker_player", "gold_sql": "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", "gold_answer": [ "Teodor Salparov", "Maksim Botin", "Yevgeni Sivozhelez", "Semen Poltavskiy", "Aleksey Ostapenko" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_025" }, { "question_text": "Give the names of poker players who have earnings above 300000.", "database_name": "poker_player", "gold_sql": "SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Earnings > 300000", "gold_answer": [ "Aleksey Ostapenko", "Maksim Botin" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_026" }, { "question_text": "What are the names of poker players whose earnings is higher than 300000?", "database_name": "poker_player", "gold_sql": "SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Earnings > 300000", "gold_answer": [ "Aleksey Ostapenko", "Maksim Botin" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_027" }, { "question_text": "Return the money rank of the poker player with the greatest height.", "database_name": "poker_player", "gold_sql": "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", "gold_answer": 68.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_028" }, { "question_text": "What is the money rank of the tallest poker player?", "database_name": "poker_player", "gold_sql": "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", "gold_answer": 68.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_029" }, { "question_text": "Return the average earnings across all poker players.", "database_name": "poker_player", "gold_sql": "SELECT avg(Earnings) FROM poker_player", "gold_answer": 301891.2, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_030" }, { "question_text": "What is the average earnings of poker players?", "database_name": "poker_player", "gold_sql": "SELECT avg(Earnings) FROM poker_player", "gold_answer": 301891.2, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_031" }, { "question_text": "Give average earnings of poker players who are taller than 200.", "database_name": "poker_player", "gold_sql": "SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200", "gold_answer": 309445.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_032" }, { "question_text": "What is the average earnings of poker players with height higher than 200?", "database_name": "poker_player", "gold_sql": "SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200", "gold_answer": 309445.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "people", "poker_player" ], "split": "eval", "question_id": "poker_player_eval_033" }, { "question_text": "Count the number of poker players.", "database_name": "poker_player", "gold_sql": "SELECT count(*) FROM poker_player", "gold_answer": 5, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_034" }, { "question_text": "How many poker players are there?", "database_name": "poker_player", "gold_sql": "SELECT count(*) FROM poker_player", "gold_answer": 5, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_035" }, { "question_text": "Count the number of different nationalities.", "database_name": "poker_player", "gold_sql": "SELECT count(DISTINCT Nationality) FROM people", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_036" }, { "question_text": "How many distinct nationalities are there?", "database_name": "poker_player", "gold_sql": "SELECT count(DISTINCT Nationality) FROM people", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "people" ], "split": "eval", "question_id": "poker_player_eval_037" }, { "question_text": "Return the maximum final tables made across all poker players who have earnings below 200000.", "database_name": "poker_player", "gold_sql": "SELECT max(Final_Table_Made) FROM poker_player WHERE Earnings < 200000", "gold_answer": 26.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_038" }, { "question_text": "What is the maximum number of final tables made among poker players with earnings less than 200000?", "database_name": "poker_player", "gold_sql": "SELECT max(Final_Table_Made) FROM poker_player WHERE Earnings < 200000", "gold_answer": 26.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "poker_player" ], "split": "eval", "question_id": "poker_player_eval_039" }, { "question_text": "Which countries have either English or Dutch as an official language?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ [ "ABW", "Aruba", "North America", "Caribbean", 193.0, null, 103000, 78.4, 828.0, 793.0, "Aruba", "Nonmetropolitan Territory of The Netherlands", "Beatrix", 129, "AW", "ABW", "Dutch", "T", 5.3 ], [ "AIA", "Anguilla", "North America", "Caribbean", 96.0, null, 8000, 76.1, 63.2, null, "Anguilla", "Dependent Territory of the UK", "Elisabeth II", 62, "AI", "AIA", "English", "T", 0.0 ], [ "ANT", "Netherlands Antilles", "North America", "Caribbean", 800.0, null, 217000, 74.7, 1941.0, null, "Nederlandse Antillen", "Nonmetropolitan Territory of The Netherlands", "Beatrix", 33, "AN", "ANT", "Dutch", "T", 0.0 ], [ "ASM", "American Samoa", "Oceania", "Polynesia", 199.0, null, 68000, 75.1, 334.0, null, "Amerika Samoa", "US Territory", "George W. Bush", 54, "AS", "ASM", "English", "T", 3.1 ], [ "ATG", "Antigua and Barbuda", "North America", "Caribbean", 442.0, 1981, 68000, 70.5, 612.0, 584.0, "Antigua and Barbuda", "Constitutional Monarchy", "Elisabeth II", 63, "AG", "ATG", "English", "T", 0.0 ], [ "AUS", "Australia", "Oceania", "Australia and New Zealand", 7741220.0, 1901, 18886000, 79.8, 351182.0, 392911.0, "Australia", "Constitutional Monarchy, Federation", "Elisabeth II", 135, "AU", "AUS", "English", "T", 81.2 ], [ "BEL", "Belgium", "Europe", "Western Europe", 30518.0, 1830, 10239000, 77.8, 249704.0, 243948.0, "België/Belgique", "Constitutional Monarchy, Federation", "Albert II", 179, "BE", "BEL", "Dutch", "T", 59.2 ], [ "BLZ", "Belize", "North America", "Central America", 22696.0, 1981, 241000, 70.9, 630.0, 616.0, "Belize", "Constitutional Monarchy", "Elisabeth II", 185, "BZ", "BLZ", "English", "T", 50.8 ], [ "BMU", "Bermuda", "North America", "North America", 53.0, null, 65000, 76.9, 2328.0, 2190.0, "Bermuda", "Dependent Territory of the UK", "Elisabeth II", 191, "BM", "BMU", "English", "T", 100.0 ], [ "BRB", "Barbados", "North America", "Caribbean", 430.0, 1966, 270000, 73.0, 2223.0, 2186.0, "Barbados", "Constitutional Monarchy", "Elisabeth II", 174, "BB", "BRB", "English", "T", 0.0 ], [ "CAN", "Canada", "North America", "North America", 9970610.0, 1867, 31147000, 79.4, 598862.0, 625626.0, "Canada", "Constitutional Monarchy, Federation", "Elisabeth II", 1822, "CA", "CAN", "English", "T", 60.4 ], [ "CCK", "Cocos (Keeling) Islands", "Oceania", "Australia and New Zealand", 14.0, null, 600, null, 0.0, null, "Cocos (Keeling) Islands", "Territory of Australia", "Elisabeth II", 2317, "CC", "CCK", "English", "T", 0.0 ], [ "CXR", "Christmas Island", "Oceania", "Australia and New Zealand", 135.0, null, 2500, null, 0.0, null, "Christmas Island", "Territory of Australia", "Elisabeth II", 1791, "CX", "CXR", "English", "T", 0.0 ], [ "CYM", "Cayman Islands", "North America", "Caribbean", 264.0, null, 38000, 78.9, 1263.0, 1186.0, "Cayman Islands", "Dependent Territory of the UK", "Elisabeth II", 553, "KY", "CYM", "English", "T", 0.0 ], [ "FLK", "Falkland Islands", "South America", "South America", 12173.0, null, 2000, null, 0.0, null, "Falkland Islands", "Dependent Territory of the UK", "Elisabeth II", 763, "FK", "FLK", "English", "T", 0.0 ], [ "GBR", "United Kingdom", "Europe", "British Islands", 242900.0, 1066, 59623400, 77.7, 1378330.0, 1296830.0, "United Kingdom", "Constitutional Monarchy", "Elisabeth II", 456, "GB", "GBR", "English", "T", 97.3 ], [ "GIB", "Gibraltar", "Europe", "Southern Europe", 6.0, null, 25000, 79.0, 258.0, null, "Gibraltar", "Dependent Territory of the UK", "Elisabeth II", 915, "GI", "GIB", "English", "T", 88.9 ], [ "GUM", "Guam", "Oceania", "Micronesia", 549.0, null, 168000, 77.8, 1197.0, 1136.0, "Guam", "US Territory", "George W. Bush", 921, "GU", "GUM", "English", "T", 37.5 ], [ "HKG", "Hong Kong", "Asia", "Eastern Asia", 1075.0, null, 6782000, 79.5, 166448.0, 173610.0, "Xianggang/Hong Kong", "Special Administrative Region of China", "Jiang Zemin", 937, "HK", "HKG", "English", "T", 2.2 ], [ "IRL", "Ireland", "Europe", "British Islands", 70273.0, 1921, 3775100, 76.8, 75921.0, 73132.0, "Ireland/Éire", "Republic", "Mary McAleese", 1447, "IE", "IRL", "English", "T", 98.4 ], [ "KNA", "Saint Kitts and Nevis", "North America", "Caribbean", 261.0, 1983, 38000, 70.7, 299.0, null, "Saint Kitts and Nevis", "Constitutional Monarchy", "Elisabeth II", 3064, "KN", "KNA", "English", "T", 0.0 ], [ "LCA", "Saint Lucia", "North America", "Caribbean", 622.0, 1979, 154000, 72.3, 571.0, null, "Saint Lucia", "Constitutional Monarchy", "Elisabeth II", 3065, "LC", "LCA", "English", "T", 20.0 ], [ "LSO", "Lesotho", "Africa", "Southern Africa", 30355.0, 1966, 2153000, 50.8, 1061.0, 1161.0, "Lesotho", "Constitutional Monarchy", "Letsie III", 2437, "LS", "LSO", "English", "T", 0.0 ], [ "MHL", "Marshall Islands", "Oceania", "Micronesia", 181.0, 1990, 64000, 65.5, 97.0, null, "Marshall Islands/Majol", "Republic", "Kessai Note", 2507, "MH", "MHL", "English", "T", 0.0 ], [ "MLT", "Malta", "Europe", "Southern Europe", 316.0, 1964, 380200, 77.9, 3512.0, 3338.0, "Malta", "Republic", "Guido de Marco", 2484, "MT", "MLT", "English", "T", 2.1 ], [ "MNP", "Northern Mariana Islands", "Oceania", "Micronesia", 464.0, null, 78000, 75.5, 0.0, null, "Northern Mariana Islands", "Commonwealth of the US", "George W. Bush", 2913, "MP", "MNP", "English", "T", 4.8 ], [ "MSR", "Montserrat", "North America", "Caribbean", 102.0, null, 11000, 78.0, 109.0, null, "Montserrat", "Dependent Territory of the UK", "Elisabeth II", 2697, "MS", "MSR", "English", "T", 0.0 ], [ "NFK", "Norfolk Island", "Oceania", "Australia and New Zealand", 36.0, null, 2000, null, 0.0, null, "Norfolk Island", "Territory of Australia", "Elisabeth II", 2806, "NF", "NFK", "English", "T", 0.0 ], [ "NIU", "Niue", "Oceania", "Polynesia", 260.0, null, 2000, null, 0.0, null, "Niue", "Nonmetropolitan Territory of New Zealand", "Elisabeth II", 2805, "NU", "NIU", "English", "T", 0.0 ], [ "NLD", "Netherlands", "Europe", "Western Europe", 41526.0, 1581, 15864000, 78.3, 371362.0, 360478.0, "Nederland", "Constitutional Monarchy", "Beatrix", 5, "NL", "NLD", "Dutch", "T", 95.6 ], [ "NRU", "Nauru", "Oceania", "Micronesia", 21.0, 1968, 12000, 60.8, 197.0, null, "Naoero/Nauru", "Republic", "Bernard Dowiyogo", 2728, "NR", "NRU", "English", "T", 7.5 ], [ "NZL", "New Zealand", "Oceania", "Australia and New Zealand", 270534.0, 1907, 3862000, 77.8, 54669.0, 64960.0, "New Zealand/Aotearoa", "Constitutional Monarchy", "Elisabeth II", 3499, "NZ", "NZL", "English", "T", 87.0 ], [ "PLW", "Palau", "Oceania", "Micronesia", 459.0, 1994, 19000, 68.6, 105.0, null, "Belau/Palau", "Republic", "Kuniwo Nakamura", 2881, "PW", "PLW", "English", "T", 3.2 ], [ "SHN", "Saint Helena", "Africa", "Western Africa", 314.0, null, 6000, 76.8, 0.0, null, "Saint Helena", "Dependent Territory of the UK", "Elisabeth II", 3063, "SH", "SHN", "English", "T", 0.0 ], [ "SYC", "Seychelles", "Africa", "Eastern Africa", 455.0, 1976, 77000, 70.4, 536.0, 539.0, "Sesel/Seychelles", "Republic", "France-Albert René", 3206, "SC", "SYC", "English", "T", 3.8 ], [ "TCA", "Turks and Caicos Islands", "North America", "Caribbean", 430.0, null, 17000, 73.3, 96.0, null, "The Turks and Caicos Islands", "Dependent Territory of the UK", "Elisabeth II", 3423, "TC", "TCA", "English", "T", 0.0 ], [ "TKL", "Tokelau", "Oceania", "Polynesia", 12.0, null, 2000, null, 0.0, null, "Tokelau", "Nonmetropolitan Territory of New Zealand", "Elisabeth II", 3333, "TK", "TKL", "English", "T", 0.0 ], [ "TON", "Tonga", "Oceania", "Polynesia", 650.0, 1970, 99000, 67.9, 146.0, 170.0, "Tonga", "Monarchy", "Taufa'ahau Tupou IV", 3334, "TO", "TON", "English", "T", 0.0 ], [ "TUV", "Tuvalu", "Oceania", "Polynesia", 26.0, 1978, 12000, 66.3, 6.0, null, "Tuvalu", "Constitutional Monarchy", "Elisabeth II", 3424, "TV", "TUV", "English", "T", 0.0 ], [ "UMI", "United States Minor Outlying Islands", "Oceania", "Micronesia/Caribbean", 16.0, null, 0, null, 0.0, null, "United States Minor Outlying Islands", "Dependent Territory of the US", "George W. Bush", null, "UM", "UMI", "English", "T", 0.0 ], [ "USA", "United States", "North America", "North America", 9363520.0, 1776, 278357000, 77.1, 8510700.0, 8110900.0, "United States", "Federal Republic", "George W. Bush", 3813, "US", "USA", "English", "T", 86.2 ], [ "VCT", "Saint Vincent and the Grenadines", "North America", "Caribbean", 388.0, 1979, 114000, 72.3, 285.0, null, "Saint Vincent and the Grenadines", "Constitutional Monarchy", "Elisabeth II", 3066, "VC", "VCT", "English", "T", 0.0 ], [ "VGB", "Virgin Islands, British", "North America", "Caribbean", 151.0, null, 21000, 75.4, 612.0, 573.0, "British Virgin Islands", "Dependent Territory of the UK", "Elisabeth II", 537, "VG", "VGB", "English", "T", 0.0 ], [ "VIR", "Virgin Islands, U.S.", "North America", "Caribbean", 347.0, null, 93000, 78.1, 0.0, null, "Virgin Islands of the United States", "US Territory", "George W. Bush", 4067, "VI", "VIR", "English", "T", 81.7 ], [ "VUT", "Vanuatu", "Oceania", "Melanesia", 12189.0, 1980, 190000, 60.6, 261.0, 246.0, "Vanuatu", "Republic", "John Bani", 3537, "VU", "VUT", "English", "T", 28.3 ], [ "WSM", "Samoa", "Oceania", "Polynesia", 2831.0, 1962, 180000, 69.2, 141.0, 157.0, "Samoa", "Parlementary Monarchy", "Malietoa Tanumafili II", 3169, "WS", "WSM", "English", "T", 0.6 ], [ "ZAF", "South Africa", "Africa", "Southern Africa", 1221037.0, 1910, 40377000, 51.1, 116729.0, 129092.0, "South Africa", "Republic", "Thabo Mbeki", 716, "ZA", "ZAF", "English", "T", 8.5 ], [ "ZWE", "Zimbabwe", "Africa", "Eastern Africa", 390757.0, 1980, 11669000, 37.8, 5951.0, 8670.0, "Zimbabwe", "Republic", "Robert G. Mugabe", 4068, "ZW", "ZWE", "English", "T", 2.2 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_000" }, { "question_text": "How many continents speak Chinese?", "database_name": "world_1", "gold_sql": "SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = \"Chinese\"", "gold_answer": 4, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_001" }, { "question_text": "What is the number of distinct continents where Chinese is spoken?", "database_name": "world_1", "gold_sql": "SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = \"Chinese\"", "gold_answer": 4, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_002" }, { "question_text": "How many countries speak both English and Dutch?", "database_name": "world_1", "gold_sql": "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\")", "gold_answer": 3, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_003" }, { "question_text": "What is the number of nations that use English and Dutch?", "database_name": "world_1", "gold_sql": "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\")", "gold_answer": 3, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_004" }, { "question_text": "How many official languages are spoken in Afghanistan?", "database_name": "world_1", "gold_sql": "SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = \"Afghanistan\" AND IsOfficial = \"T\"", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_005" }, { "question_text": "How many official languages does Afghanistan have?", "database_name": "world_1", "gold_sql": "SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = \"Afghanistan\" AND IsOfficial = \"T\"", "gold_answer": 2, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_006" }, { "question_text": "Return the country name and the numbers of languages spoken for each country that speaks at least 3 languages.", "database_name": "world_1", "gold_sql": "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", "gold_answer": [ [ 5, "Afghanistan" ], [ 3, "Albania" ], [ 3, "American Samoa" ], [ 4, "Andorra" ], [ 9, "Angola" ], [ 3, "Argentina" ], [ 4, "Aruba" ], [ 8, "Australia" ], [ 8, "Austria" ], [ 4, "Azerbaijan" ], [ 7, "Bangladesh" ], [ 4, "Belarus" ], [ 6, "Belgium" ], [ 4, "Belize" ], [ 7, "Benin" ], [ 3, "Bhutan" ], [ 4, "Bolivia" ], [ 5, "Botswana" ], [ 5, "Brazil" ], [ 4, "Brunei" ], [ 4, "Bulgaria" ], [ 6, "Burkina Faso" ], [ 3, "Burundi" ], [ 4, "Cambodia" ], [ 8, "Cameroon" ], [ 12, "Canada" ], [ 6, "Central African Republic" ], [ 8, "Chad" ], [ 4, "Chile" ], [ 12, "China" ], [ 5, "Colombia" ], [ 5, "Comoros" ], [ 6, "Congo" ], [ 10, "Congo, The Democratic Republic of the" ], [ 4, "Costa Rica" ], [ 8, "Czech Republic" ], [ 5, "Côte d’Ivoire" ], [ 7, "Denmark" ], [ 3, "Djibouti" ], [ 6, "Eritrea" ], [ 5, "Estonia" ], [ 7, "Ethiopia" ], [ 5, "Finland" ], [ 6, "France" ], [ 3, "French Polynesia" ], [ 4, "Gabon" ], [ 5, "Gambia" ], [ 6, "Georgia" ], [ 6, "Germany" ], [ 6, "Ghana" ], [ 5, "Guam" ], [ 5, "Guatemala" ], [ 7, "Guinea" ], [ 6, "Guinea-Bissau" ], [ 3, "Guyana" ], [ 4, "Honduras" ], [ 5, "Hong Kong" ], [ 6, "Hungary" ], [ 12, "India" ], [ 9, "Indonesia" ], [ 10, "Iran" ], [ 5, "Iraq" ], [ 3, "Israel" ], [ 8, "Italy" ], [ 6, "Japan" ], [ 3, "Jordan" ], [ 6, "Kazakstan" ], [ 10, "Kenya" ], [ 7, "Kyrgyzstan" ], [ 4, "Laos" ], [ 6, "Latvia" ], [ 3, "Lebanon" ], [ 3, "Lesotho" ], [ 8, "Liberia" ], [ 3, "Liechtenstein" ], [ 5, "Lithuania" ], [ 5, "Luxembourg" ], [ 4, "Macao" ], [ 5, "Macedonia" ], [ 4, "Malawi" ], [ 6, "Malaysia" ], [ 6, "Mali" ], [ 6, "Mauritania" ], [ 6, "Mauritius" ], [ 3, "Mayotte" ], [ 6, "Mexico" ], [ 6, "Micronesia, Federated States of" ], [ 5, "Moldova" ], [ 4, "Monaco" ], [ 6, "Mongolia" ], [ 10, "Mozambique" ], [ 8, "Myanmar" ], [ 8, "Namibia" ], [ 5, "Nauru" ], [ 7, "Nepal" ], [ 4, "Netherlands" ], [ 3, "Netherlands Antilles" ], [ 3, "New Caledonia" ], [ 4, "Nicaragua" ], [ 5, "Niger" ], [ 10, "Nigeria" ], [ 6, "Northern Mariana Islands" ], [ 5, "Norway" ], [ 8, "Pakistan" ], [ 4, "Palau" ], [ 6, "Panama" ], [ 4, "Paraguay" ], [ 3, "Peru" ], [ 10, "Philippines" ], [ 4, "Poland" ], [ 6, "Romania" ], [ 12, "Russian Federation" ], [ 5, "Réunion" ], [ 3, "Samoa" ], [ 6, "Senegal" ], [ 3, "Seychelles" ], [ 8, "Sierra Leone" ], [ 3, "Singapore" ], [ 5, "Slovakia" ], [ 3, "Slovenia" ], [ 3, "Solomon Islands" ], [ 11, "South Africa" ], [ 4, "Spain" ], [ 3, "Sri Lanka" ], [ 10, "Sudan" ], [ 6, "Sweden" ], [ 4, "Switzerland" ], [ 6, "Taiwan" ], [ 3, "Tajikistan" ], [ 11, "Tanzania" ], [ 6, "Thailand" ], [ 8, "Togo" ], [ 3, "Trinidad and Tobago" ], [ 3, "Tunisia" ], [ 3, "Turkey" ], [ 4, "Turkmenistan" ], [ 3, "Tuvalu" ], [ 10, "Uganda" ], [ 7, "Ukraine" ], [ 3, "United Kingdom" ], [ 12, "United States" ], [ 6, "Uzbekistan" ], [ 3, "Vanuatu" ], [ 3, "Venezuela" ], [ 9, "Vietnam" ], [ 3, "Virgin Islands, U.S." ], [ 6, "Yugoslavia" ], [ 6, "Zambia" ], [ 4, "Zimbabwe" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_007" }, { "question_text": "What are the names of countries that speak more than 2 languages, as well as how many languages they speak?", "database_name": "world_1", "gold_sql": "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", "gold_answer": [ [ 5, "Afghanistan" ], [ 3, "Albania" ], [ 3, "American Samoa" ], [ 4, "Andorra" ], [ 9, "Angola" ], [ 3, "Argentina" ], [ 4, "Aruba" ], [ 8, "Australia" ], [ 8, "Austria" ], [ 4, "Azerbaijan" ], [ 7, "Bangladesh" ], [ 4, "Belarus" ], [ 6, "Belgium" ], [ 4, "Belize" ], [ 7, "Benin" ], [ 3, "Bhutan" ], [ 4, "Bolivia" ], [ 5, "Botswana" ], [ 5, "Brazil" ], [ 4, "Brunei" ], [ 4, "Bulgaria" ], [ 6, "Burkina Faso" ], [ 3, "Burundi" ], [ 4, "Cambodia" ], [ 8, "Cameroon" ], [ 12, "Canada" ], [ 6, "Central African Republic" ], [ 8, "Chad" ], [ 4, "Chile" ], [ 12, "China" ], [ 5, "Colombia" ], [ 5, "Comoros" ], [ 6, "Congo" ], [ 10, "Congo, The Democratic Republic of the" ], [ 4, "Costa Rica" ], [ 8, "Czech Republic" ], [ 5, "Côte d’Ivoire" ], [ 7, "Denmark" ], [ 3, "Djibouti" ], [ 6, "Eritrea" ], [ 5, "Estonia" ], [ 7, "Ethiopia" ], [ 5, "Finland" ], [ 6, "France" ], [ 3, "French Polynesia" ], [ 4, "Gabon" ], [ 5, "Gambia" ], [ 6, "Georgia" ], [ 6, "Germany" ], [ 6, "Ghana" ], [ 5, "Guam" ], [ 5, "Guatemala" ], [ 7, "Guinea" ], [ 6, "Guinea-Bissau" ], [ 3, "Guyana" ], [ 4, "Honduras" ], [ 5, "Hong Kong" ], [ 6, "Hungary" ], [ 12, "India" ], [ 9, "Indonesia" ], [ 10, "Iran" ], [ 5, "Iraq" ], [ 3, "Israel" ], [ 8, "Italy" ], [ 6, "Japan" ], [ 3, "Jordan" ], [ 6, "Kazakstan" ], [ 10, "Kenya" ], [ 7, "Kyrgyzstan" ], [ 4, "Laos" ], [ 6, "Latvia" ], [ 3, "Lebanon" ], [ 3, "Lesotho" ], [ 8, "Liberia" ], [ 3, "Liechtenstein" ], [ 5, "Lithuania" ], [ 5, "Luxembourg" ], [ 4, "Macao" ], [ 5, "Macedonia" ], [ 4, "Malawi" ], [ 6, "Malaysia" ], [ 6, "Mali" ], [ 6, "Mauritania" ], [ 6, "Mauritius" ], [ 3, "Mayotte" ], [ 6, "Mexico" ], [ 6, "Micronesia, Federated States of" ], [ 5, "Moldova" ], [ 4, "Monaco" ], [ 6, "Mongolia" ], [ 10, "Mozambique" ], [ 8, "Myanmar" ], [ 8, "Namibia" ], [ 5, "Nauru" ], [ 7, "Nepal" ], [ 4, "Netherlands" ], [ 3, "Netherlands Antilles" ], [ 3, "New Caledonia" ], [ 4, "Nicaragua" ], [ 5, "Niger" ], [ 10, "Nigeria" ], [ 6, "Northern Mariana Islands" ], [ 5, "Norway" ], [ 8, "Pakistan" ], [ 4, "Palau" ], [ 6, "Panama" ], [ 4, "Paraguay" ], [ 3, "Peru" ], [ 10, "Philippines" ], [ 4, "Poland" ], [ 6, "Romania" ], [ 12, "Russian Federation" ], [ 5, "Réunion" ], [ 3, "Samoa" ], [ 6, "Senegal" ], [ 3, "Seychelles" ], [ 8, "Sierra Leone" ], [ 3, "Singapore" ], [ 5, "Slovakia" ], [ 3, "Slovenia" ], [ 3, "Solomon Islands" ], [ 11, "South Africa" ], [ 4, "Spain" ], [ 3, "Sri Lanka" ], [ 10, "Sudan" ], [ 6, "Sweden" ], [ 4, "Switzerland" ], [ 6, "Taiwan" ], [ 3, "Tajikistan" ], [ 11, "Tanzania" ], [ 6, "Thailand" ], [ 8, "Togo" ], [ 3, "Trinidad and Tobago" ], [ 3, "Tunisia" ], [ 3, "Turkey" ], [ 4, "Turkmenistan" ], [ 3, "Tuvalu" ], [ 10, "Uganda" ], [ 7, "Ukraine" ], [ 3, "United Kingdom" ], [ 12, "United States" ], [ 6, "Uzbekistan" ], [ 3, "Vanuatu" ], [ 3, "Venezuela" ], [ 9, "Vietnam" ], [ 3, "Virgin Islands, U.S." ], [ 6, "Yugoslavia" ], [ 6, "Zambia" ], [ 4, "Zimbabwe" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_008" }, { "question_text": "How many languages are spoken in Aruba?", "database_name": "world_1", "gold_sql": "SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = \"Aruba\"", "gold_answer": 4, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_009" }, { "question_text": "What is the total number of languages used in Aruba?", "database_name": "world_1", "gold_sql": "SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = \"Aruba\"", "gold_answer": 4, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_010" }, { "question_text": "Return the codes of countries that do not speak English and do not have Republics for governments.", "database_name": "world_1", "gold_sql": "SELECT Code FROM country WHERE GovernmentForm != \"Republic\" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = \"English\"", "gold_answer": [ "AFG", "AND", "ARE", "ARG", "ATA", "ATF", "AUT", "AZE", "BEL", "BHS", "BIH", "BRA", "BTN", "BVT", "CHE", "CHN", "CUB", "DEU", "ESH", "ESP", "FRO", "FSM", "GLP", "GRD", "GRL", "GUF", "HMD", "IND", "IOT", "IRN", "JAM", "JOR", "KHM", "LBY", "LIE", "LUX", "MAR", "MDG", "MEX", "MTQ", "MYT", "NCL", "NGA", "NLD", "NPL", "OMN", "PCN", "PNG", "PRK", "PSE", "PYF", "QAT", "REU", "RUS", "SAU", "SDN", "SGS", "SJM", "SLB", "SPM", "SWE", "SWZ", "THA", "TMP", "VAT", "VEN", "VNM", "WLF", "YUG" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_011" }, { "question_text": "What are the codes of the countries that do not speak English and whose government forms are not Republic?", "database_name": "world_1", "gold_sql": "SELECT Code FROM country WHERE GovernmentForm != \"Republic\" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = \"English\"", "gold_answer": [ "AFG", "AND", "ARE", "ARG", "ATA", "ATF", "AUT", "AZE", "BEL", "BHS", "BIH", "BRA", "BTN", "BVT", "CHE", "CHN", "CUB", "DEU", "ESH", "ESP", "FRO", "FSM", "GLP", "GRD", "GRL", "GUF", "HMD", "IND", "IOT", "IRN", "JAM", "JOR", "KHM", "LBY", "LIE", "LUX", "MAR", "MDG", "MEX", "MTQ", "MYT", "NCL", "NGA", "NLD", "NPL", "OMN", "PCN", "PNG", "PRK", "PSE", "PYF", "QAT", "REU", "RUS", "SAU", "SDN", "SGS", "SJM", "SLB", "SPM", "SWE", "SWZ", "THA", "TMP", "VAT", "VEN", "VNM", "WLF", "YUG" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_012" }, { "question_text": "What is the continent name which Anguilla belongs to?", "database_name": "world_1", "gold_sql": "SELECT Continent FROM country WHERE Name = \"Anguilla\"", "gold_answer": "North America", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_013" }, { "question_text": "Which continent is Anguilla in?", "database_name": "world_1", "gold_sql": "SELECT Continent FROM country WHERE Name = \"Anguilla\"", "gold_answer": "North America", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_014" }, { "question_text": "Return the codes of countries for which Spanish is the predominantly spoken language.", "database_name": "world_1", "gold_sql": "SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = \"Spanish\" GROUP BY CountryCode", "gold_answer": [ [ "ABW", 7.4 ], [ "AND", 44.6 ], [ "ARG", 96.8 ], [ "BLZ", 31.6 ], [ "BOL", 87.7 ], [ "CAN", 0.7 ], [ "CHL", 89.7 ], [ "COL", 99.0 ], [ "CRI", 97.5 ], [ "CUB", 100.0 ], [ "DOM", 98.0 ], [ "ECU", 93.0 ], [ "ESP", 74.4 ], [ "FRA", 0.4 ], [ "GTM", 64.7 ], [ "HND", 97.2 ], [ "MEX", 92.1 ], [ "NIC", 97.6 ], [ "PAN", 76.8 ], [ "PER", 79.8 ], [ "PRI", 51.3 ], [ "PRY", 55.1 ], [ "SLV", 100.0 ], [ "SWE", 0.6 ], [ "URY", 95.7 ], [ "USA", 7.5 ], [ "VEN", 96.9 ], [ "VIR", 13.3 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_015" }, { "question_text": "What are the codes of countries where Spanish is spoken by the largest percentage of people?", "database_name": "world_1", "gold_sql": "SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = \"Spanish\" GROUP BY CountryCode", "gold_answer": [ [ "ABW", 7.4 ], [ "AND", 44.6 ], [ "ARG", 96.8 ], [ "BLZ", 31.6 ], [ "BOL", 87.7 ], [ "CAN", 0.7 ], [ "CHL", 89.7 ], [ "COL", 99.0 ], [ "CRI", 97.5 ], [ "CUB", 100.0 ], [ "DOM", 98.0 ], [ "ECU", 93.0 ], [ "ESP", 74.4 ], [ "FRA", 0.4 ], [ "GTM", 64.7 ], [ "HND", 97.2 ], [ "MEX", 92.1 ], [ "NIC", 97.6 ], [ "PAN", 76.8 ], [ "PER", 79.8 ], [ "PRI", 51.3 ], [ "PRY", 55.1 ], [ "SLV", 100.0 ], [ "SWE", 0.6 ], [ "URY", 95.7 ], [ "USA", 7.5 ], [ "VEN", 96.9 ], [ "VIR", 13.3 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_016" }, { "question_text": "Return the country codes for countries that do not speak English.", "database_name": "world_1", "gold_sql": "SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = \"English\"", "gold_answer": [ "AFG", "AGO", "ALB", "AND", "ARE", "ARG", "ARM", "AUT", "AZE", "BDI", "BEL", "BEN", "BFA", "BGD", "BGR", "BHS", "BIH", "BLR", "BOL", "BRA", "BTN", "BWA", "CAF", "CHE", "CHL", "CHN", "CIV", "CMR", "COD", "COG", "COL", "COM", "CPV", "CRI", "CUB", "CYP", "CZE", "DEU", "DJI", "DMA", "DOM", "DZA", "ECU", "EGY", "ERI", "ESH", "ESP", "EST", "ETH", "FIN", "FJI", "FRA", "FRO", "FSM", "GAB", "GEO", "GHA", "GIN", "GLP", "GMB", "GNB", "GNQ", "GRC", "GRD", "GRL", "GTM", "GUF", "GUY", "HND", "HRV", "HTI", "HUN", "IDN", "IND", "IRN", "IRQ", "ISR", "ITA", "JAM", "JOR", "KAZ", "KEN", "KGZ", "KHM", "KIR", "KOR", "LAO", "LBN", "LBR", "LBY", "LIE", "LKA", "LTU", "LUX", "LVA", "MAR", "MDA", "MDG", "MEX", "MKD", "MLI", "MMR", "MNG", "MOZ", "MRT", "MTQ", "MUS", "MWI", "MYT", "NAM", "NCL", "NER", "NGA", "NIC", "NLD", "NPL", "OMN", "PAK", "PAN", "PCN", "PER", "PHL", "PNG", "POL", "PRK", "PRT", "PRY", "PSE", "PYF", "QAT", "REU", "ROM", "RUS", "RWA", "SAU", "SDN", "SEN", "SGP", "SJM", "SLB", "SLE", "SLV", "SMR", "SOM", "SPM", "STP", "SUR", "SVK", "SVN", "SWE", "SWZ", "SYR", "TCD", "TGO", "THA", "TJK", "TKM", "TMP", "TUN", "TUR", "TWN", "TZA", "UGA", "UKR", "URY", "UZB", "VAT", "VEN", "VNM", "WLF", "YEM", "YUG", "ZMB" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_017" }, { "question_text": "What are the country codes for countries that do not speak English?", "database_name": "world_1", "gold_sql": "SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = \"English\"", "gold_answer": [ "AFG", "AGO", "ALB", "AND", "ARE", "ARG", "ARM", "AUT", "AZE", "BDI", "BEL", "BEN", "BFA", "BGD", "BGR", "BHS", "BIH", "BLR", "BOL", "BRA", "BTN", "BWA", "CAF", "CHE", "CHL", "CHN", "CIV", "CMR", "COD", "COG", "COL", "COM", "CPV", "CRI", "CUB", "CYP", "CZE", "DEU", "DJI", "DMA", "DOM", "DZA", "ECU", "EGY", "ERI", "ESH", "ESP", "EST", "ETH", "FIN", "FJI", "FRA", "FRO", "FSM", "GAB", "GEO", "GHA", "GIN", "GLP", "GMB", "GNB", "GNQ", "GRC", "GRD", "GRL", "GTM", "GUF", "GUY", "HND", "HRV", "HTI", "HUN", "IDN", "IND", "IRN", "IRQ", "ISR", "ITA", "JAM", "JOR", "KAZ", "KEN", "KGZ", "KHM", "KIR", "KOR", "LAO", "LBN", "LBR", "LBY", "LIE", "LKA", "LTU", "LUX", "LVA", "MAR", "MDA", "MDG", "MEX", "MKD", "MLI", "MMR", "MNG", "MOZ", "MRT", "MTQ", "MUS", "MWI", "MYT", "NAM", "NCL", "NER", "NGA", "NIC", "NLD", "NPL", "OMN", "PAK", "PAN", "PCN", "PER", "PHL", "PNG", "POL", "PRK", "PRT", "PRY", "PSE", "PYF", "QAT", "REU", "ROM", "RUS", "RWA", "SAU", "SDN", "SEN", "SGP", "SJM", "SLB", "SLE", "SLV", "SMR", "SOM", "SPM", "STP", "SUR", "SVK", "SVN", "SWE", "SWZ", "SYR", "TCD", "TGO", "THA", "TJK", "TKM", "TMP", "TUN", "TUR", "TWN", "TZA", "UGA", "UKR", "URY", "UZB", "VAT", "VEN", "VNM", "WLF", "YEM", "YUG", "ZMB" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_018" }, { "question_text": "Give the country codes for countries in which people speak langauges that are not English.", "database_name": "world_1", "gold_sql": "SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != \"English\"", "gold_answer": [ "ABW", "AFG", "AGO", "ALB", "AND", "ANT", "ARE", "ARG", "ARM", "ASM", "ATG", "AUS", "AUT", "AZE", "BDI", "BEL", "BEN", "BFA", "BGD", "BGR", "BHR", "BHS", "BIH", "BLR", "BLZ", "BOL", "BRA", "BRB", "BRN", "BTN", "BWA", "CAF", "CAN", "CCK", "CHE", "CHL", "CHN", "CIV", "CMR", "COD", "COG", "COK", "COL", "COM", "CPV", "CRI", "CUB", "CXR", "CYP", "CZE", "DEU", "DJI", "DMA", "DNK", "DOM", "DZA", "ECU", "EGY", "ERI", "ESH", "ESP", "EST", "ETH", "FIN", "FJI", "FRA", "FRO", "FSM", "GAB", "GBR", "GEO", "GHA", "GIB", "GIN", "GLP", "GMB", "GNB", "GNQ", "GRC", "GRD", "GRL", "GTM", "GUF", "GUM", "GUY", "HKG", "HND", "HRV", "HTI", "HUN", "IDN", "IND", "IRL", "IRN", "IRQ", "ISL", "ISR", "ITA", "JAM", "JOR", "JPN", "KAZ", "KEN", "KGZ", "KHM", "KIR", "KNA", "KOR", "KWT", "LAO", "LBN", "LBR", "LBY", "LCA", "LIE", "LKA", "LSO", "LTU", "LUX", "LVA", "MAC", "MAR", "MCO", "MDA", "MDG", "MDV", "MEX", "MHL", "MKD", "MLI", "MLT", "MMR", "MNG", "MNP", "MOZ", "MRT", "MTQ", "MUS", "MWI", "MYS", "MYT", "NAM", "NCL", "NER", "NGA", "NIC", "NIU", "NLD", "NOR", "NPL", "NRU", "NZL", "OMN", "PAK", "PAN", "PCN", "PER", "PHL", "PLW", "PNG", "POL", "PRI", "PRK", "PRT", "PRY", "PSE", "PYF", "QAT", "REU", "ROM", "RUS", "RWA", "SAU", "SDN", "SEN", "SGP", "SJM", "SLB", "SLE", "SLV", "SMR", "SOM", "SPM", "STP", "SUR", "SVK", "SVN", "SWE", "SWZ", "SYC", "SYR", "TCD", "TGO", "THA", "TJK", "TKL", "TKM", "TMP", "TON", "TTO", "TUN", "TUR", "TUV", "TWN", "TZA", "UGA", "UKR", "URY", "USA", "UZB", "VAT", "VCT", "VEN", "VIR", "VNM", "VUT", "WLF", "WSM", "YEM", "YUG", "ZAF", "ZMB", "ZWE" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_019" }, { "question_text": "What are the country codes of countries where people use languages other than English?", "database_name": "world_1", "gold_sql": "SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != \"English\"", "gold_answer": [ "ABW", "AFG", "AGO", "ALB", "AND", "ANT", "ARE", "ARG", "ARM", "ASM", "ATG", "AUS", "AUT", "AZE", "BDI", "BEL", "BEN", "BFA", "BGD", "BGR", "BHR", "BHS", "BIH", "BLR", "BLZ", "BOL", "BRA", "BRB", "BRN", "BTN", "BWA", "CAF", "CAN", "CCK", "CHE", "CHL", "CHN", "CIV", "CMR", "COD", "COG", "COK", "COL", "COM", "CPV", "CRI", "CUB", "CXR", "CYP", "CZE", "DEU", "DJI", "DMA", "DNK", "DOM", "DZA", "ECU", "EGY", "ERI", "ESH", "ESP", "EST", "ETH", "FIN", "FJI", "FRA", "FRO", "FSM", "GAB", "GBR", "GEO", "GHA", "GIB", "GIN", "GLP", "GMB", "GNB", "GNQ", "GRC", "GRD", "GRL", "GTM", "GUF", "GUM", "GUY", "HKG", "HND", "HRV", "HTI", "HUN", "IDN", "IND", "IRL", "IRN", "IRQ", "ISL", "ISR", "ITA", "JAM", "JOR", "JPN", "KAZ", "KEN", "KGZ", "KHM", "KIR", "KNA", "KOR", "KWT", "LAO", "LBN", "LBR", "LBY", "LCA", "LIE", "LKA", "LSO", "LTU", "LUX", "LVA", "MAC", "MAR", "MCO", "MDA", "MDG", "MDV", "MEX", "MHL", "MKD", "MLI", "MLT", "MMR", "MNG", "MNP", "MOZ", "MRT", "MTQ", "MUS", "MWI", "MYS", "MYT", "NAM", "NCL", "NER", "NGA", "NIC", "NIU", "NLD", "NOR", "NPL", "NRU", "NZL", "OMN", "PAK", "PAN", "PCN", "PER", "PHL", "PLW", "PNG", "POL", "PRI", "PRK", "PRT", "PRY", "PSE", "PYF", "QAT", "REU", "ROM", "RUS", "RWA", "SAU", "SDN", "SEN", "SGP", "SJM", "SLB", "SLE", "SLV", "SMR", "SOM", "SPM", "STP", "SUR", "SVK", "SVN", "SWE", "SWZ", "SYC", "SYR", "TCD", "TGO", "THA", "TJK", "TKL", "TKM", "TMP", "TON", "TTO", "TUN", "TUR", "TUV", "TWN", "TZA", "UGA", "UKR", "URY", "USA", "UZB", "VAT", "VCT", "VEN", "VIR", "VNM", "VUT", "WLF", "WSM", "YEM", "YUG", "ZAF", "ZMB", "ZWE" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_020" }, { "question_text": "What are the regions that use English or Dutch?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Caribbean", "Polynesia", "Australia and New Zealand", "Western Europe", "Middle East", "Central America", "North America", "Southeast Asia", "Nordic Countries", "South America", "British Islands", "Southern Europe", "Micronesia", "Eastern Asia", "Southern Africa", "Southern and Central Asia", "Western Africa", "Eastern Africa", "Micronesia/Caribbean", "Melanesia" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_021" }, { "question_text": "Which regions speak Dutch or English?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Caribbean", "Polynesia", "Australia and New Zealand", "Western Europe", "Middle East", "Central America", "North America", "Southeast Asia", "Nordic Countries", "South America", "British Islands", "Southern Europe", "Micronesia", "Eastern Asia", "Southern Africa", "Southern and Central Asia", "Western Africa", "Eastern Africa", "Micronesia/Caribbean", "Melanesia" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_022" }, { "question_text": "What are the names of cities in Europe for which English is not the official language?", "database_name": "world_1", "gold_sql": "SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND T1.Name NOT 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')", "gold_answer": [ "Amsterdam", "Rotterdam", "Haag", "Utrecht", "Eindhoven", "Tilburg", "Groningen", "Breda", "Apeldoorn", "Nijmegen", "Enschede", "Haarlem", "Almere", "Arnhem", "Zaanstad", "´s-Hertogenbosch", "Amersfoort", "Maastricht", "Dordrecht", "Leiden", "Haarlemmermeer", "Zoetermeer", "Emmen", "Zwolle", "Ede", "Delft", "Heerlen", "Alkmaar", "Tirana", "Andorra la Vella", "Antwerpen", "Gent", "Charleroi", "Liège", "Bruxelles [Brussel]", "Brugge", "Schaerbeek", "Namur", "Mons", "Sarajevo", "Banja Luka", "Zenica", "Sofija", "Plovdiv", "Varna", "Burgas", "Ruse", "Stara Zagora", "Pleven", "Sliven", "Dobric", "Šumen", "Madrid", "Barcelona", "Valencia", "Sevilla", "Zaragoza", "Málaga", "Bilbao", "Las Palmas de Gran Canaria", "Murcia", "Palma de Mallorca", "Valladolid", "Córdoba", "Vigo", "Alicante [Alacant]", "Gijón", "L´Hospitalet de Llobregat", "Granada", "A Coruña (La Coruña)", "Vitoria-Gasteiz", "Santa Cruz de Tenerife", "Badalona", "Oviedo", "Móstoles", "Elche [Elx]", "Sabadell", "Santander", "Jerez de la Frontera", "Pamplona [Iruña]", "Donostia-San Sebastián", "Cartagena", "Leganés", "Fuenlabrada", "Almería", "Terrassa", "Alcalá de Henares", "Burgos", "Salamanca", "Albacete", "Getafe", "Cádiz", "Alcorcón", "Huelva", "León", "Castellón de la Plana [Castell", "Badajoz", "[San Cristóbal de] la Laguna", "Logroño", "Santa Coloma de Gramenet", "Tarragona", "Lleida (Lérida)", "Jaén", "Ourense (Orense)", "Mataró", "Algeciras", "Marbella", "Barakaldo", "Dos Hermanas", "Santiago de Compostela", "Torrejón de Ardoz", "Tórshavn", "Longyearbyen", "Reykjavík", "Roma", "Milano", "Napoli", "Torino", "Palermo", "Genova", "Bologna", "Firenze", "Catania", "Bari", "Venezia", "Messina", "Verona", "Trieste", "Padova", "Taranto", "Brescia", "Reggio di Calabria", "Modena", "Prato", "Parma", "Cagliari", "Livorno", "Perugia", "Foggia", "Reggio nell´ Emilia", "Salerno", "Ravenna", "Ferrara", "Rimini", "Syrakusa", "Sassari", "Monza", "Bergamo", "Pescara", "Latina", "Vicenza", "Terni", "Forlì", "Trento", "Novara", "Piacenza", "Ancona", "Lecce", "Bolzano", "Catanzaro", "La Spezia", "Udine", "Torre del Greco", "Andria", "Brindisi", "Giugliano in Campania", "Pisa", "Barletta", "Arezzo", "Alessandria", "Cesena", "Pesaro", "Wien", "Graz", "Linz", "Salzburg", "Innsbruck", "Klagenfurt", "Beograd", "Novi Sad", "Niš", "Priština", "Kragujevac", "Podgorica", "Subotica", "Prizren", "Athenai", "Thessaloniki", "Pireus", "Patras", "Peristerion", "Herakleion", "Kallithea", "Larisa", "Zagreb", "Split", "Rijeka", "Osijek", "Riga", "Daugavpils", "Liepaja", "Schaan", "Vaduz", "Vilnius", "Kaunas", "Klaipeda", "Šiauliai", "Panevezys", "Luxembourg [Luxemburg/Lëtzebuerg]", "Skopje", "Chisinau", "Tiraspol", "Balti", "Bender (Tîghina)", "Monte-Carlo", "Monaco-Ville", "Oslo", "Bergen", "Trondheim", "Stavanger", "Bærum", "Lisboa", "Porto", "Amadora", "Coímbra", "Braga", "Warszawa", "Lódz", "Kraków", "Wroclaw", "Poznan", "Gdansk", "Szczecin", "Bydgoszcz", "Lublin", "Katowice", "Bialystok", "Czestochowa", "Gdynia", "Sosnowiec", "Radom", "Kielce", "Gliwice", "Torun", "Bytom", "Zabrze", "Bielsko-Biala", "Olsztyn", "Rzeszów", "Ruda Slaska", "Rybnik", "Walbrzych", "Tychy", "Dabrowa Górnicza", "Plock", "Elblag", "Opole", "Gorzów Wielkopolski", "Wloclawek", "Chorzów", "Tarnów", "Zielona Góra", "Koszalin", "Legnica", "Kalisz", "Grudziadz", "Slupsk", "Jastrzebie-Zdrój", "Jaworzno", "Jelenia Góra", "Paris", "Marseille", "Lyon", "Toulouse", "Nice", "Nantes", "Strasbourg", "Montpellier", "Bordeaux", "Rennes", "Le Havre", "Reims", "Lille", "St-Étienne", "Toulon", "Grenoble", "Angers", "Dijon", "Brest", "Le Mans", "Clermont-Ferrand", "Amiens", "Aix-en-Provence", "Limoges", "Nîmes", "Tours", "Villeurbanne", "Metz", "Besançon", "Caen", "Orléans", "Mulhouse", "Rouen", "Boulogne-Billancourt", "Perpignan", "Nancy", "Roubaix", "Argenteuil", "Tourcoing", "Montreuil", "Bucuresti", "Iasi", "Constanta", "Cluj-Napoca", "Galati", "Timisoara", "Brasov", "Craiova", "Ploiesti", "Braila", "Oradea", "Bacau", "Pitesti", "Arad", "Sibiu", "Târgu Mures", "Baia Mare", "Buzau", "Satu Mare", "Botosani", "Piatra Neamt", "Râmnicu Vâlcea", "Suceava", "Drobeta-Turnu Severin", "Târgoviste", "Focsani", "Târgu Jiu", "Tulcea", "Resita", "Stockholm", "Gothenburg [Göteborg]", "Malmö", "Uppsala", "Linköping", "Västerås", "Örebro", "Norrköping", "Helsingborg", "Jönköping", "Umeå", "Lund", "Borås", "Sundsvall", "Gävle", "Berlin", "Hamburg", "Munich [München]", "Köln", "Frankfurt am Main", "Essen", "Dortmund", "Stuttgart", "Düsseldorf", "Bremen", "Duisburg", "Hannover", "Leipzig", "Nürnberg", "Dresden", "Bochum", "Wuppertal", "Bielefeld", "Mannheim", "Bonn", "Gelsenkirchen", "Karlsruhe", "Wiesbaden", "Münster", "Mönchengladbach", "Chemnitz", "Augsburg", "Halle/Saale", "Braunschweig", "Aachen", "Krefeld", "Magdeburg", "Kiel", "Oberhausen", "Lübeck", "Hagen", "Rostock", "Freiburg im Breisgau", "Erfurt", "Kassel", "Saarbrücken", "Mainz", "Hamm", "Herne", "Mülheim an der Ruhr", "Solingen", "Osnabrück", "Ludwigshafen am Rhein", "Leverkusen", "Oldenburg", "Neuss", "Heidelberg", "Darmstadt", "Paderborn", "Potsdam", "Würzburg", "Regensburg", "Recklinghausen", "Göttingen", "Bremerhaven", "Wolfsburg", "Bottrop", "Remscheid", "Heilbronn", "Pforzheim", "Offenbach am Main", "Ulm", "Ingolstadt", "Gera", "Salzgitter", "Cottbus", "Reutlingen", "Fürth", "Siegen", "Koblenz", "Moers", "Bergisch Gladbach", "Zwickau", "Hildesheim", "Witten", "Schwerin", "Erlangen", "Kaiserslautern", "Trier", "Jena", "Iserlohn", "Gütersloh", "Marl", "Lünen", "Düren", "Ratingen", "Velbert", "Esslingen am Neckar", "Serravalle", "San Marino", "Bratislava", "Košice", "Prešov", "Ljubljana", "Maribor", "Helsinki [Helsingfors]", "Espoo", "Tampere", "Vantaa", "Turku [Åbo]", "Oulu", "Lahti", "Zürich", "Geneve", "Basel", "Bern", "Lausanne", "København", "Århus", "Odense", "Aalborg", "Frederiksberg", "Praha", "Brno", "Ostrava", "Plzen", "Olomouc", "Liberec", "Ceské Budejovice", "Hradec Králové", "Ústí nad Labem", "Pardubice", "Kyiv", "Harkova [Harkiv]", "Dnipropetrovsk", "Donetsk", "Odesa", "Zaporizzja", "Lviv", "Kryvyi Rig", "Mykolajiv", "Mariupol", "Lugansk", "Vinnytsja", "Makijivka", "Herson", "Sevastopol", "Simferopol", "Pultava [Poltava]", "Tšernigiv", "Tšerkasy", "Gorlivka", "Zytomyr", "Sumy", "Dniprodzerzynsk", "Kirovograd", "Hmelnytskyi", "Tšernivtsi", "Rivne", "Krementšuk", "Ivano-Frankivsk", "Ternopil", "Lutsk", "Bila Tserkva", "Kramatorsk", "Melitopol", "Kertš", "Nikopol", "Berdjansk", "Pavlograd", "Sjeverodonetsk", "Slovjansk", "Uzgorod", "Altševsk", "Lysytšansk", "Jevpatorija", "Kamjanets-Podilskyi", "Jenakijeve", "Krasnyi Lutš", "Stahanov", "Oleksandrija", "Konotop", "Kostjantynivka", "Berdytšiv", "Izmajil", "Šostka", "Uman", "Brovary", "Mukatševe", "Budapest", "Debrecen", "Miskolc", "Szeged", "Pécs", "Györ", "Nyiregyháza", "Kecskemét", "Székesfehérvár", "Minsk", "Gomel", "Mogiljov", "Vitebsk", "Grodno", "Bobruisk", "Baranovitši", "Borisov", "Pinsk", "Orša", "Mozyr", "Novopolotsk", "Lida", "Soligorsk", "Molodetšno", "Città del Vaticano", "Moscow", "St Petersburg", "Novosibirsk", "Nizni Novgorod", "Jekaterinburg", "Samara", "Omsk", "Kazan", "Ufa", "Tšeljabinsk", "Rostov-na-Donu", "Perm", "Volgograd", "Voronez", "Krasnojarsk", "Saratov", "Toljatti", "Uljanovsk", "Izevsk", "Krasnodar", "Jaroslavl", "Habarovsk", "Vladivostok", "Irkutsk", "Barnaul", "Novokuznetsk", "Penza", "Rjazan", "Orenburg", "Lipetsk", "Nabereznyje Tšelny", "Tula", "Tjumen", "Kemerovo", "Astrahan", "Tomsk", "Kirov", "Ivanovo", "Tšeboksary", "Brjansk", "Tver", "Kursk", "Magnitogorsk", "Kaliningrad", "Nizni Tagil", "Murmansk", "Ulan-Ude", "Kurgan", "Arkangeli", "Sotši", "Smolensk", "Orjol", "Stavropol", "Belgorod", "Kaluga", "Vladimir", "Mahatškala", "Tšerepovets", "Saransk", "Tambov", "Vladikavkaz", "Tšita", "Vologda", "Veliki Novgorod", "Komsomolsk-na-Amure", "Kostroma", "Volzski", "Taganrog", "Petroskoi", "Bratsk", "Dzerzinsk", "Surgut", "Orsk", "Sterlitamak", "Angarsk", "Joškar-Ola", "Rybinsk", "Prokopjevsk", "Niznevartovsk", "Naltšik", "Syktyvkar", "Severodvinsk", "Bijsk", "Niznekamsk", "Blagoveštšensk", "Šahty", "Staryi Oskol", "Zelenograd", "Balakovo", "Novorossijsk", "Pihkova", "Zlatoust", "Jakutsk", "Podolsk", "Petropavlovsk-Kamtšatski", "Kamensk-Uralski", "Engels", "Syzran", "Grozny", "Novotšerkassk", "Berezniki", "Juzno-Sahalinsk", "Volgodonsk", "Abakan", "Maikop", "Miass", "Armavir", "Ljubertsy", "Rubtsovsk", "Kovrov", "Nahodka", "Ussurijsk", "Salavat", "Mytištši", "Kolomna", "Elektrostal", "Murom", "Kolpino", "Norilsk", "Almetjevsk", "Novomoskovsk", "Dimitrovgrad", "Pervouralsk", "Himki", "Balašiha", "Nevinnomyssk", "Pjatigorsk", "Korolev", "Serpuhov", "Odintsovo", "Orehovo-Zujevo", "Kamyšin", "Novotšeboksarsk", "Tšerkessk", "Atšinsk", "Magadan", "Mitšurinsk", "Kislovodsk", "Jelets", "Seversk", "Noginsk", "Velikije Luki", "Novokuibyševsk", "Neftekamsk", "Leninsk-Kuznetski", "Oktjabrski", "Sergijev Posad", "Arzamas", "Kiseljovsk", "Novotroitsk", "Obninsk", "Kansk", "Glazov", "Solikamsk", "Sarapul", "Ust-Ilimsk", "Štšolkovo", "Mezduretšensk", "Usolje-Sibirskoje", "Elista", "Novošahtinsk", "Votkinsk", "Kyzyl", "Serov", "Zelenodolsk", "Zeleznodoroznyi", "Kinešma", "Kuznetsk", "Uhta", "Jessentuki", "Tobolsk", "Neftejugansk", "Bataisk", "Nojabrsk", "Balašov", "Zeleznogorsk", "Zukovski", "Anzero-Sudzensk", "Bugulma", "Novouralsk", "Puškin", "Vorkuta", "Derbent", "Kirovo-Tšepetsk", "Krasnogorsk", "Klin", "Tšaikovski", "Novyi Urengoi", "Tallinn", "Tartu" ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "city", "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_023" }, { "question_text": "Which cities are in European countries where English is not the official language?", "database_name": "world_1", "gold_sql": "SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND T1.Name NOT 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')", "gold_answer": [ "Amsterdam", "Rotterdam", "Haag", "Utrecht", "Eindhoven", "Tilburg", "Groningen", "Breda", "Apeldoorn", "Nijmegen", "Enschede", "Haarlem", "Almere", "Arnhem", "Zaanstad", "´s-Hertogenbosch", "Amersfoort", "Maastricht", "Dordrecht", "Leiden", "Haarlemmermeer", "Zoetermeer", "Emmen", "Zwolle", "Ede", "Delft", "Heerlen", "Alkmaar", "Tirana", "Andorra la Vella", "Antwerpen", "Gent", "Charleroi", "Liège", "Bruxelles [Brussel]", "Brugge", "Schaerbeek", "Namur", "Mons", "Sarajevo", "Banja Luka", "Zenica", "Sofija", "Plovdiv", "Varna", "Burgas", "Ruse", "Stara Zagora", "Pleven", "Sliven", "Dobric", "Šumen", "Madrid", "Barcelona", "Valencia", "Sevilla", "Zaragoza", "Málaga", "Bilbao", "Las Palmas de Gran Canaria", "Murcia", "Palma de Mallorca", "Valladolid", "Córdoba", "Vigo", "Alicante [Alacant]", "Gijón", "L´Hospitalet de Llobregat", "Granada", "A Coruña (La Coruña)", "Vitoria-Gasteiz", "Santa Cruz de Tenerife", "Badalona", "Oviedo", "Móstoles", "Elche [Elx]", "Sabadell", "Santander", "Jerez de la Frontera", "Pamplona [Iruña]", "Donostia-San Sebastián", "Cartagena", "Leganés", "Fuenlabrada", "Almería", "Terrassa", "Alcalá de Henares", "Burgos", "Salamanca", "Albacete", "Getafe", "Cádiz", "Alcorcón", "Huelva", "León", "Castellón de la Plana [Castell", "Badajoz", "[San Cristóbal de] la Laguna", "Logroño", "Santa Coloma de Gramenet", "Tarragona", "Lleida (Lérida)", "Jaén", "Ourense (Orense)", "Mataró", "Algeciras", "Marbella", "Barakaldo", "Dos Hermanas", "Santiago de Compostela", "Torrejón de Ardoz", "Tórshavn", "Longyearbyen", "Reykjavík", "Roma", "Milano", "Napoli", "Torino", "Palermo", "Genova", "Bologna", "Firenze", "Catania", "Bari", "Venezia", "Messina", "Verona", "Trieste", "Padova", "Taranto", "Brescia", "Reggio di Calabria", "Modena", "Prato", "Parma", "Cagliari", "Livorno", "Perugia", "Foggia", "Reggio nell´ Emilia", "Salerno", "Ravenna", "Ferrara", "Rimini", "Syrakusa", "Sassari", "Monza", "Bergamo", "Pescara", "Latina", "Vicenza", "Terni", "Forlì", "Trento", "Novara", "Piacenza", "Ancona", "Lecce", "Bolzano", "Catanzaro", "La Spezia", "Udine", "Torre del Greco", "Andria", "Brindisi", "Giugliano in Campania", "Pisa", "Barletta", "Arezzo", "Alessandria", "Cesena", "Pesaro", "Wien", "Graz", "Linz", "Salzburg", "Innsbruck", "Klagenfurt", "Beograd", "Novi Sad", "Niš", "Priština", "Kragujevac", "Podgorica", "Subotica", "Prizren", "Athenai", "Thessaloniki", "Pireus", "Patras", "Peristerion", "Herakleion", "Kallithea", "Larisa", "Zagreb", "Split", "Rijeka", "Osijek", "Riga", "Daugavpils", "Liepaja", "Schaan", "Vaduz", "Vilnius", "Kaunas", "Klaipeda", "Šiauliai", "Panevezys", "Luxembourg [Luxemburg/Lëtzebuerg]", "Skopje", "Chisinau", "Tiraspol", "Balti", "Bender (Tîghina)", "Monte-Carlo", "Monaco-Ville", "Oslo", "Bergen", "Trondheim", "Stavanger", "Bærum", "Lisboa", "Porto", "Amadora", "Coímbra", "Braga", "Warszawa", "Lódz", "Kraków", "Wroclaw", "Poznan", "Gdansk", "Szczecin", "Bydgoszcz", "Lublin", "Katowice", "Bialystok", "Czestochowa", "Gdynia", "Sosnowiec", "Radom", "Kielce", "Gliwice", "Torun", "Bytom", "Zabrze", "Bielsko-Biala", "Olsztyn", "Rzeszów", "Ruda Slaska", "Rybnik", "Walbrzych", "Tychy", "Dabrowa Górnicza", "Plock", "Elblag", "Opole", "Gorzów Wielkopolski", "Wloclawek", "Chorzów", "Tarnów", "Zielona Góra", "Koszalin", "Legnica", "Kalisz", "Grudziadz", "Slupsk", "Jastrzebie-Zdrój", "Jaworzno", "Jelenia Góra", "Paris", "Marseille", "Lyon", "Toulouse", "Nice", "Nantes", "Strasbourg", "Montpellier", "Bordeaux", "Rennes", "Le Havre", "Reims", "Lille", "St-Étienne", "Toulon", "Grenoble", "Angers", "Dijon", "Brest", "Le Mans", "Clermont-Ferrand", "Amiens", "Aix-en-Provence", "Limoges", "Nîmes", "Tours", "Villeurbanne", "Metz", "Besançon", "Caen", "Orléans", "Mulhouse", "Rouen", "Boulogne-Billancourt", "Perpignan", "Nancy", "Roubaix", "Argenteuil", "Tourcoing", "Montreuil", "Bucuresti", "Iasi", "Constanta", "Cluj-Napoca", "Galati", "Timisoara", "Brasov", "Craiova", "Ploiesti", "Braila", "Oradea", "Bacau", "Pitesti", "Arad", "Sibiu", "Târgu Mures", "Baia Mare", "Buzau", "Satu Mare", "Botosani", "Piatra Neamt", "Râmnicu Vâlcea", "Suceava", "Drobeta-Turnu Severin", "Târgoviste", "Focsani", "Târgu Jiu", "Tulcea", "Resita", "Stockholm", "Gothenburg [Göteborg]", "Malmö", "Uppsala", "Linköping", "Västerås", "Örebro", "Norrköping", "Helsingborg", "Jönköping", "Umeå", "Lund", "Borås", "Sundsvall", "Gävle", "Berlin", "Hamburg", "Munich [München]", "Köln", "Frankfurt am Main", "Essen", "Dortmund", "Stuttgart", "Düsseldorf", "Bremen", "Duisburg", "Hannover", "Leipzig", "Nürnberg", "Dresden", "Bochum", "Wuppertal", "Bielefeld", "Mannheim", "Bonn", "Gelsenkirchen", "Karlsruhe", "Wiesbaden", "Münster", "Mönchengladbach", "Chemnitz", "Augsburg", "Halle/Saale", "Braunschweig", "Aachen", "Krefeld", "Magdeburg", "Kiel", "Oberhausen", "Lübeck", "Hagen", "Rostock", "Freiburg im Breisgau", "Erfurt", "Kassel", "Saarbrücken", "Mainz", "Hamm", "Herne", "Mülheim an der Ruhr", "Solingen", "Osnabrück", "Ludwigshafen am Rhein", "Leverkusen", "Oldenburg", "Neuss", "Heidelberg", "Darmstadt", "Paderborn", "Potsdam", "Würzburg", "Regensburg", "Recklinghausen", "Göttingen", "Bremerhaven", "Wolfsburg", "Bottrop", "Remscheid", "Heilbronn", "Pforzheim", "Offenbach am Main", "Ulm", "Ingolstadt", "Gera", "Salzgitter", "Cottbus", "Reutlingen", "Fürth", "Siegen", "Koblenz", "Moers", "Bergisch Gladbach", "Zwickau", "Hildesheim", "Witten", "Schwerin", "Erlangen", "Kaiserslautern", "Trier", "Jena", "Iserlohn", "Gütersloh", "Marl", "Lünen", "Düren", "Ratingen", "Velbert", "Esslingen am Neckar", "Serravalle", "San Marino", "Bratislava", "Košice", "Prešov", "Ljubljana", "Maribor", "Helsinki [Helsingfors]", "Espoo", "Tampere", "Vantaa", "Turku [Åbo]", "Oulu", "Lahti", "Zürich", "Geneve", "Basel", "Bern", "Lausanne", "København", "Århus", "Odense", "Aalborg", "Frederiksberg", "Praha", "Brno", "Ostrava", "Plzen", "Olomouc", "Liberec", "Ceské Budejovice", "Hradec Králové", "Ústí nad Labem", "Pardubice", "Kyiv", "Harkova [Harkiv]", "Dnipropetrovsk", "Donetsk", "Odesa", "Zaporizzja", "Lviv", "Kryvyi Rig", "Mykolajiv", "Mariupol", "Lugansk", "Vinnytsja", "Makijivka", "Herson", "Sevastopol", "Simferopol", "Pultava [Poltava]", "Tšernigiv", "Tšerkasy", "Gorlivka", "Zytomyr", "Sumy", "Dniprodzerzynsk", "Kirovograd", "Hmelnytskyi", "Tšernivtsi", "Rivne", "Krementšuk", "Ivano-Frankivsk", "Ternopil", "Lutsk", "Bila Tserkva", "Kramatorsk", "Melitopol", "Kertš", "Nikopol", "Berdjansk", "Pavlograd", "Sjeverodonetsk", "Slovjansk", "Uzgorod", "Altševsk", "Lysytšansk", "Jevpatorija", "Kamjanets-Podilskyi", "Jenakijeve", "Krasnyi Lutš", "Stahanov", "Oleksandrija", "Konotop", "Kostjantynivka", "Berdytšiv", "Izmajil", "Šostka", "Uman", "Brovary", "Mukatševe", "Budapest", "Debrecen", "Miskolc", "Szeged", "Pécs", "Györ", "Nyiregyháza", "Kecskemét", "Székesfehérvár", "Minsk", "Gomel", "Mogiljov", "Vitebsk", "Grodno", "Bobruisk", "Baranovitši", "Borisov", "Pinsk", "Orša", "Mozyr", "Novopolotsk", "Lida", "Soligorsk", "Molodetšno", "Città del Vaticano", "Moscow", "St Petersburg", "Novosibirsk", "Nizni Novgorod", "Jekaterinburg", "Samara", "Omsk", "Kazan", "Ufa", "Tšeljabinsk", "Rostov-na-Donu", "Perm", "Volgograd", "Voronez", "Krasnojarsk", "Saratov", "Toljatti", "Uljanovsk", "Izevsk", "Krasnodar", "Jaroslavl", "Habarovsk", "Vladivostok", "Irkutsk", "Barnaul", "Novokuznetsk", "Penza", "Rjazan", "Orenburg", "Lipetsk", "Nabereznyje Tšelny", "Tula", "Tjumen", "Kemerovo", "Astrahan", "Tomsk", "Kirov", "Ivanovo", "Tšeboksary", "Brjansk", "Tver", "Kursk", "Magnitogorsk", "Kaliningrad", "Nizni Tagil", "Murmansk", "Ulan-Ude", "Kurgan", "Arkangeli", "Sotši", "Smolensk", "Orjol", "Stavropol", "Belgorod", "Kaluga", "Vladimir", "Mahatškala", "Tšerepovets", "Saransk", "Tambov", "Vladikavkaz", "Tšita", "Vologda", "Veliki Novgorod", "Komsomolsk-na-Amure", "Kostroma", "Volzski", "Taganrog", "Petroskoi", "Bratsk", "Dzerzinsk", "Surgut", "Orsk", "Sterlitamak", "Angarsk", "Joškar-Ola", "Rybinsk", "Prokopjevsk", "Niznevartovsk", "Naltšik", "Syktyvkar", "Severodvinsk", "Bijsk", "Niznekamsk", "Blagoveštšensk", "Šahty", "Staryi Oskol", "Zelenograd", "Balakovo", "Novorossijsk", "Pihkova", "Zlatoust", "Jakutsk", "Podolsk", "Petropavlovsk-Kamtšatski", "Kamensk-Uralski", "Engels", "Syzran", "Grozny", "Novotšerkassk", "Berezniki", "Juzno-Sahalinsk", "Volgodonsk", "Abakan", "Maikop", "Miass", "Armavir", "Ljubertsy", "Rubtsovsk", "Kovrov", "Nahodka", "Ussurijsk", "Salavat", "Mytištši", "Kolomna", "Elektrostal", "Murom", "Kolpino", "Norilsk", "Almetjevsk", "Novomoskovsk", "Dimitrovgrad", "Pervouralsk", "Himki", "Balašiha", "Nevinnomyssk", "Pjatigorsk", "Korolev", "Serpuhov", "Odintsovo", "Orehovo-Zujevo", "Kamyšin", "Novotšeboksarsk", "Tšerkessk", "Atšinsk", "Magadan", "Mitšurinsk", "Kislovodsk", "Jelets", "Seversk", "Noginsk", "Velikije Luki", "Novokuibyševsk", "Neftekamsk", "Leninsk-Kuznetski", "Oktjabrski", "Sergijev Posad", "Arzamas", "Kiseljovsk", "Novotroitsk", "Obninsk", "Kansk", "Glazov", "Solikamsk", "Sarapul", "Ust-Ilimsk", "Štšolkovo", "Mezduretšensk", "Usolje-Sibirskoje", "Elista", "Novošahtinsk", "Votkinsk", "Kyzyl", "Serov", "Zelenodolsk", "Zeleznodoroznyi", "Kinešma", "Kuznetsk", "Uhta", "Jessentuki", "Tobolsk", "Neftejugansk", "Bataisk", "Nojabrsk", "Balašov", "Zeleznogorsk", "Zukovski", "Anzero-Sudzensk", "Bugulma", "Novouralsk", "Puškin", "Vorkuta", "Derbent", "Kirovo-Tšepetsk", "Krasnogorsk", "Klin", "Tšaikovski", "Novyi Urengoi", "Tallinn", "Tartu" ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "city", "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_024" }, { "question_text": "Return the different names of cities that are in Asia and for which Chinese is the official language.", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Shanghai", "Peking", "Chongqing", "Tianjin", "Wuhan", "Harbin", "Shenyang", "Kanton [Guangzhou]", "Chengdu", "Nanking [Nanjing]", "Changchun", "Xi´an", "Dalian", "Qingdao", "Jinan", "Hangzhou", "Zhengzhou", "Shijiazhuang", "Taiyuan", "Kunming", "Changsha", "Nanchang", "Fuzhou", "Lanzhou", "Guiyang", "Ningbo", "Hefei", "Urumtši [Ürümqi]", "Anshan", "Fushun", "Nanning", "Zibo", "Qiqihar", "Jilin", "Tangshan", "Baotou", "Shenzhen", "Hohhot", "Handan", "Wuxi", "Xuzhou", "Datong", "Yichun", "Benxi", "Luoyang", "Suzhou", "Xining", "Huainan", "Jixi", "Daqing", "Fuxin", "Amoy [Xiamen]", "Liuzhou", "Shantou", "Jinzhou", "Mudanjiang", "Yinchuan", "Changzhou", "Zhangjiakou", "Dandong", "Hegang", "Kaifeng", "Jiamusi", "Liaoyang", "Hengyang", "Baoding", "Hunjiang", "Xinxiang", "Huangshi", "Haikou", "Yantai", "Bengbu", "Xiangtan", "Weifang", "Wuhu", "Pingxiang", "Yingkou", "Anyang", "Panzhihua", "Pingdingshan", "Xiangfan", "Zhuzhou", "Jiaozuo", "Wenzhou", "Zhangjiang", "Zigong", "Shuangyashan", "Zaozhuang", "Yakeshi", "Yichang", "Zhenjiang", "Huaibei", "Qinhuangdao", "Guilin", "Liupanshui", "Panjin", "Yangquan", "Jinxi", "Liaoyuan", "Lianyungang", "Xianyang", "Tai´an", "Chifeng", "Shaoguan", "Nantong", "Leshan", "Baoji", "Linyi", "Tonghua", "Siping", "Changzhi", "Tengzhou", "Chaozhou", "Yangzhou", "Dongwan", "Ma´anshan", "Foshan", "Yueyang", "Xingtai", "Changde", "Shihezi", "Yancheng", "Jiujiang", "Dongying", "Shashi", "Xintai", "Jingdezhen", "Tongchuan", "Zhongshan", "Shiyan", "Tieli", "Jining", "Wuhai", "Mianyang", "Luzhou", "Zunyi", "Shizuishan", "Neijiang", "Tongliao", "Tieling", "Wafangdian", "Anqing", "Shaoyang", "Laiwu", "Chengde", "Tianshui", "Nanyang", "Cangzhou", "Yibin", "Huaiyin", "Dunhua", "Yanji", "Jiangmen", "Tongling", "Suihua", "Gongziling", "Xiantao", "Chaoyang", "Ganzhou", "Huzhou", "Baicheng", "Shangzi", "Yangjiang", "Qitaihe", "Gejiu", "Jiangyin", "Hebi", "Jiaxing", "Wuzhou", "Meihekou", "Xuchang", "Liaocheng", "Haicheng", "Qianjiang", "Baiyin", "Bei´an", "Yixing", "Laizhou", "Qaramay", "Acheng", "Dezhou", "Nanping", "Zhaoqing", "Beipiao", "Fengcheng", "Fuyu", "Xinyang", "Dongtai", "Yuci", "Honghu", "Ezhou", "Heze", "Daxian", "Linfen", "Tianmen", "Yiyang", "Quanzhou", "Rizhao", "Deyang", "Guangyuan", "Changshu", "Zhangzhou", "Hailar", "Nanchong", "Jiutai", "Zhaodong", "Shaoxing", "Fuyang", "Maoming", "Qujing", "Ghulja", "Jiaohe", "Puyang", "Huadian", "Jiangyou", "Qashqar", "Anshun", "Fuling", "Xinyu", "Hanzhong", "Danyang", "Chenzhou", "Xiaogan", "Shangqiu", "Zhuhai", "Qingyuan", "Aqsu", "Xiaoshan", "Zaoyang", "Xinghua", "Hami", "Huizhou", "Jinmen", "Sanming", "Ulanhot", "Korla", "Wanxian", "Rui´an", "Zhoushan", "Liangcheng", "Jiaozhou", "Taizhou", "Taonan", "Pingdu", "Ji´an", "Longkou", "Langfang", "Zhoukou", "Suining", "Yulin", "Jinhua", "Liu´an", "Shuangcheng", "Suizhou", "Ankang", "Weinan", "Longjing", "Da´an", "Lengshuijiang", "Laiyang", "Xianning", "Dali", "Anda", "Jincheng", "Longyan", "Xichang", "Wendeng", "Hailun", "Binzhou", "Linhe", "Wuwei", "Duyun", "Mishan", "Shangrao", "Changji", "Meixian", "Yushu", "Tiefa", "Huai´an", "Leiyang", "Zalantun", "Weihai", "Loudi", "Qingzhou", "Qidong", "Huaihua", "Luohe", "Chuzhou", "Kaiyuan", "Linqing", "Chaohu", "Laohekou", "Dujiangyan", "Zhumadian", "Linchuan", "Jiaonan", "Sanmenxia", "Heyuan", "Manzhouli", "Lhasa", "Lianyuan", "Kuytun", "Puqi", "Hongjiang", "Qinzhou", "Renqiu", "Yuyao", "Guigang", "Kaili", "Yan´an", "Beihai", "Xuangzhou", "Quzhou", "Yong´an", "Zixing", "Liyang", "Yizheng", "Yumen", "Liling", "Yuncheng", "Shanwei", "Cixi", "Yuanjiang", "Bozhou", "Jinchang", "Fu´an", "Suqian", "Shishou", "Hengshui", "Danjiangkou", "Fujin", "Sanya", "Guangshui", "Huangshan", "Xingcheng", "Zhucheng", "Kunshan", "Haining", "Pingliang", "Fuqing", "Xinzhou", "Jieyang", "Zhangjiagang", "Tong Xian", "Ya´an", "Emeishan", "Enshi", "Bose", "Yuzhou", "Tumen", "Putian", "Linhai", "Xilin Hot", "Shaowu", "Junan", "Huaying", "Pingyi", "Huangyan", "Singapore" ], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "city", "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_025" }, { "question_text": "What are the country codes of the different countries, and what are the languages spoken by the greatest percentage of people for each?", "database_name": "world_1", "gold_sql": "SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode", "gold_answer": [ [ "Papiamento", "ABW", 76.7 ], [ "Pashto", "AFG", 52.4 ], [ "Ovimbundu", "AGO", 37.2 ], [ "English", "AIA", 0.0 ], [ "Albaniana", "ALB", 97.9 ], [ "Spanish", "AND", 44.6 ], [ "Papiamento", "ANT", 86.2 ], [ "Arabic", "ARE", 42.0 ], [ "Spanish", "ARG", 96.8 ], [ "Armenian", "ARM", 93.4 ], [ "Samoan", "ASM", 90.6 ], [ "Creole English", "ATG", 95.7 ], [ "English", "AUS", 81.2 ], [ "German", "AUT", 92.0 ], [ "Azerbaijani", "AZE", 89.0 ], [ "Kirundi", "BDI", 98.1 ], [ "Dutch", "BEL", 59.2 ], [ "Fon", "BEN", 39.8 ], [ "Mossi", "BFA", 50.2 ], [ "Bengali", "BGD", 97.7 ], [ "Bulgariana", "BGR", 83.2 ], [ "Arabic", "BHR", 67.7 ], [ "Creole English", "BHS", 89.7 ], [ "Serbo-Croatian", "BIH", 99.2 ], [ "Belorussian", "BLR", 65.6 ], [ "English", "BLZ", 50.8 ], [ "English", "BMU", 100.0 ], [ "Spanish", "BOL", 87.7 ], [ "Portuguese", "BRA", 97.5 ], [ "Bajan", "BRB", 95.1 ], [ "Malay", "BRN", 45.5 ], [ "Dzongkha", "BTN", 50.0 ], [ "Tswana", "BWA", 75.5 ], [ "Gbaya", "CAF", 23.8 ], [ "English", "CAN", 60.4 ], [ "English", "CCK", 0.0 ], [ "German", "CHE", 63.6 ], [ "Spanish", "CHL", 89.7 ], [ "Chinese", "CHN", 92.0 ], [ "Akan", "CIV", 30.0 ], [ "Fang", "CMR", 19.7 ], [ "Luba", "COD", 18.0 ], [ "Kongo", "COG", 51.5 ], [ "English", "COK", 0.0 ], [ "Spanish", "COL", 99.0 ], [ "Comorian", "COM", 75.0 ], [ "Crioulo", "CPV", 100.0 ], [ "Spanish", "CRI", 97.5 ], [ "Spanish", "CUB", 100.0 ], [ "Chinese", "CXR", 0.0 ], [ "English", "CYM", 0.0 ], [ "Greek", "CYP", 74.1 ], [ "Czech", "CZE", 81.2 ], [ "German", "DEU", 91.3 ], [ "Somali", "DJI", 43.9 ], [ "Creole English", "DMA", 100.0 ], [ "Danish", "DNK", 93.5 ], [ "Spanish", "DOM", 98.0 ], [ "Arabic", "DZA", 86.0 ], [ "Spanish", "ECU", 93.0 ], [ "Arabic", "EGY", 98.8 ], [ "Tigrinja", "ERI", 49.1 ], [ "Arabic", "ESH", 100.0 ], [ "Spanish", "ESP", 74.4 ], [ "Estonian", "EST", 65.3 ], [ "Oromo", "ETH", 31.0 ], [ "Finnish", "FIN", 92.7 ], [ "Fijian", "FJI", 50.8 ], [ "English", "FLK", 0.0 ], [ "French", "FRA", 93.6 ], [ "Faroese", "FRO", 100.0 ], [ "Trukese", "FSM", 41.6 ], [ "Fang", "GAB", 35.8 ], [ "English", "GBR", 97.3 ], [ "Georgiana", "GEO", 71.7 ], [ "Akan", "GHA", 52.4 ], [ "English", "GIB", 88.9 ], [ "Ful", "GIN", 38.6 ], [ "Creole French", "GLP", 95.0 ], [ "Malinke", "GMB", 34.1 ], [ "Crioulo", "GNB", 36.4 ], [ "Fang", "GNQ", 84.8 ], [ "Greek", "GRC", 98.5 ], [ "Creole English", "GRD", 100.0 ], [ "Greenlandic", "GRL", 87.5 ], [ "Spanish", "GTM", 64.7 ], [ "Creole French", "GUF", 94.3 ], [ "English", "GUM", 37.5 ], [ "Creole English", "GUY", 96.4 ], [ "Canton Chinese", "HKG", 88.7 ], [ "Spanish", "HND", 97.2 ], [ "Serbo-Croatian", "HRV", 95.9 ], [ "Haiti Creole", "HTI", 100.0 ], [ "Hungarian", "HUN", 98.5 ], [ "Javanese", "IDN", 39.4 ], [ "Hindi", "IND", 39.9 ], [ "English", "IRL", 98.4 ], [ "Persian", "IRN", 45.7 ], [ "Arabic", "IRQ", 77.2 ], [ "Icelandic", "ISL", 95.7 ], [ "Hebrew", "ISR", 63.1 ], [ "Italian", "ITA", 94.1 ], [ "Creole English", "JAM", 94.2 ], [ "Arabic", "JOR", 97.9 ], [ "Japanese", "JPN", 99.1 ], [ "Kazakh", "KAZ", 46.0 ], [ "Kikuyu", "KEN", 20.9 ], [ "Kirgiz", "KGZ", 59.7 ], [ "Khmer", "KHM", 88.6 ], [ "Kiribati", "KIR", 98.9 ], [ "Creole English", "KNA", 100.0 ], [ "Korean", "KOR", 99.9 ], [ "Arabic", "KWT", 78.1 ], [ "Lao", "LAO", 67.2 ], [ "Arabic", "LBN", 93.0 ], [ "Kpelle", "LBR", 19.5 ], [ "Arabic", "LBY", 96.0 ], [ "Creole French", "LCA", 80.0 ], [ "German", "LIE", 89.0 ], [ "Singali", "LKA", 60.3 ], [ "Sotho", "LSO", 85.0 ], [ "Lithuanian", "LTU", 81.6 ], [ "Luxembourgish", "LUX", 64.4 ], [ "Latvian", "LVA", 55.1 ], [ "Canton Chinese", "MAC", 85.6 ], [ "Arabic", "MAR", 65.0 ], [ "French", "MCO", 41.9 ], [ "Romanian", "MDA", 61.9 ], [ "Malagasy", "MDG", 98.9 ], [ "Dhivehi", "MDV", 100.0 ], [ "Spanish", "MEX", 92.1 ], [ "Marshallese", "MHL", 96.8 ], [ "Macedonian", "MKD", 66.5 ], [ "Bambara", "MLI", 31.8 ], [ "Maltese", "MLT", 95.8 ], [ "Burmese", "MMR", 69.0 ], [ "Mongolian", "MNG", 78.8 ], [ "Philippene Languages", "MNP", 34.1 ], [ "Makua", "MOZ", 27.8 ], [ "Hassaniya", "MRT", 81.7 ], [ "English", "MSR", 0.0 ], [ "Creole French", "MTQ", 96.6 ], [ "Creole French", "MUS", 70.6 ], [ "Chichewa", "MWI", 58.3 ], [ "Malay", "MYS", 58.4 ], [ "Mahoré", "MYT", 41.9 ], [ "Ovambo", "NAM", 50.7 ], [ "Malenasian Languages", "NCL", 45.4 ], [ "Hausa", "NER", 53.1 ], [ "English", "NFK", 0.0 ], [ "Joruba", "NGA", 21.4 ], [ "Spanish", "NIC", 97.6 ], [ "English", "NIU", 0.0 ], [ "Dutch", "NLD", 95.6 ], [ "Norwegian", "NOR", 96.6 ], [ "Nepali", "NPL", 50.4 ], [ "Nauru", "NRU", 57.5 ], [ "English", "NZL", 87.0 ], [ "Arabic", "OMN", 76.7 ], [ "Punjabi", "PAK", 48.2 ], [ "Spanish", "PAN", 76.8 ], [ "Pitcairnese", "PCN", 0.0 ], [ "Spanish", "PER", 79.8 ], [ "Pilipino", "PHL", 29.3 ], [ "Palau", "PLW", 82.2 ], [ "Papuan Languages", "PNG", 78.1 ], [ "Polish", "POL", 97.6 ], [ "Spanish", "PRI", 51.3 ], [ "Korean", "PRK", 99.9 ], [ "Portuguese", "PRT", 99.0 ], [ "Spanish", "PRY", 55.1 ], [ "Arabic", "PSE", 95.9 ], [ "Tahitian", "PYF", 46.4 ], [ "Arabic", "QAT", 40.7 ], [ "Creole French", "REU", 91.5 ], [ "Romanian", "ROM", 90.7 ], [ "Russian", "RUS", 86.6 ], [ "Rwanda", "RWA", 100.0 ], [ "Arabic", "SAU", 95.0 ], [ "Arabic", "SDN", 49.4 ], [ "Wolof", "SEN", 48.1 ], [ "Chinese", "SGP", 77.1 ], [ "English", "SHN", 0.0 ], [ "Norwegian", "SJM", 0.0 ], [ "Malenasian Languages", "SLB", 85.6 ], [ "Mende", "SLE", 34.8 ], [ "Spanish", "SLV", 100.0 ], [ "Italian", "SMR", 100.0 ], [ "Somali", "SOM", 98.3 ], [ "French", "SPM", 0.0 ], [ "Crioulo", "STP", 86.3 ], [ "Sranantonga", "SUR", 81.0 ], [ "Slovak", "SVK", 85.6 ], [ "Slovene", "SVN", 87.9 ], [ "Swedish", "SWE", 89.5 ], [ "Swazi", "SWZ", 89.9 ], [ "Seselwa", "SYC", 91.3 ], [ "Arabic", "SYR", 90.0 ], [ "English", "TCA", 0.0 ], [ "Sara", "TCD", 27.7 ], [ "Ewe", "TGO", 23.2 ], [ "Thai", "THA", 52.6 ], [ "Tadzhik", "TJK", 62.2 ], [ "English", "TKL", 0.0 ], [ "Turkmenian", "TKM", 76.7 ], [ "Portuguese", "TMP", 0.0 ], [ "Tongan", "TON", 98.3 ], [ "English", "TTO", 93.5 ], [ "Arabic", "TUN", 69.9 ], [ "Turkish", "TUR", 87.6 ], [ "Tuvalu", "TUV", 92.5 ], [ "Min", "TWN", 66.7 ], [ "Nyamwesi", "TZA", 21.1 ], [ "Ganda", "UGA", 18.1 ], [ "Ukrainian", "UKR", 64.7 ], [ "English", "UMI", 0.0 ], [ "Spanish", "URY", 95.7 ], [ "English", "USA", 86.2 ], [ "Uzbek", "UZB", 72.6 ], [ "Italian", "VAT", 0.0 ], [ "Creole English", "VCT", 99.1 ], [ "Spanish", "VEN", 96.9 ], [ "English", "VGB", 0.0 ], [ "English", "VIR", 81.7 ], [ "Vietnamese", "VNM", 86.8 ], [ "Bislama", "VUT", 56.6 ], [ "Futuna", "WLF", 0.0 ], [ "Samoan-English", "WSM", 52.0 ], [ "Arabic", "YEM", 99.6 ], [ "Serbo-Croatian", "YUG", 75.2 ], [ "Zulu", "ZAF", 22.7 ], [ "Bemba", "ZMB", 29.7 ], [ "Shona", "ZWE", 72.1 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_026" }, { "question_text": "What is the language spoken by the largest percentage of people in each country?", "database_name": "world_1", "gold_sql": "SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode", "gold_answer": [ [ "Papiamento", "ABW", 76.7 ], [ "Pashto", "AFG", 52.4 ], [ "Ovimbundu", "AGO", 37.2 ], [ "English", "AIA", 0.0 ], [ "Albaniana", "ALB", 97.9 ], [ "Spanish", "AND", 44.6 ], [ "Papiamento", "ANT", 86.2 ], [ "Arabic", "ARE", 42.0 ], [ "Spanish", "ARG", 96.8 ], [ "Armenian", "ARM", 93.4 ], [ "Samoan", "ASM", 90.6 ], [ "Creole English", "ATG", 95.7 ], [ "English", "AUS", 81.2 ], [ "German", "AUT", 92.0 ], [ "Azerbaijani", "AZE", 89.0 ], [ "Kirundi", "BDI", 98.1 ], [ "Dutch", "BEL", 59.2 ], [ "Fon", "BEN", 39.8 ], [ "Mossi", "BFA", 50.2 ], [ "Bengali", "BGD", 97.7 ], [ "Bulgariana", "BGR", 83.2 ], [ "Arabic", "BHR", 67.7 ], [ "Creole English", "BHS", 89.7 ], [ "Serbo-Croatian", "BIH", 99.2 ], [ "Belorussian", "BLR", 65.6 ], [ "English", "BLZ", 50.8 ], [ "English", "BMU", 100.0 ], [ "Spanish", "BOL", 87.7 ], [ "Portuguese", "BRA", 97.5 ], [ "Bajan", "BRB", 95.1 ], [ "Malay", "BRN", 45.5 ], [ "Dzongkha", "BTN", 50.0 ], [ "Tswana", "BWA", 75.5 ], [ "Gbaya", "CAF", 23.8 ], [ "English", "CAN", 60.4 ], [ "English", "CCK", 0.0 ], [ "German", "CHE", 63.6 ], [ "Spanish", "CHL", 89.7 ], [ "Chinese", "CHN", 92.0 ], [ "Akan", "CIV", 30.0 ], [ "Fang", "CMR", 19.7 ], [ "Luba", "COD", 18.0 ], [ "Kongo", "COG", 51.5 ], [ "English", "COK", 0.0 ], [ "Spanish", "COL", 99.0 ], [ "Comorian", "COM", 75.0 ], [ "Crioulo", "CPV", 100.0 ], [ "Spanish", "CRI", 97.5 ], [ "Spanish", "CUB", 100.0 ], [ "Chinese", "CXR", 0.0 ], [ "English", "CYM", 0.0 ], [ "Greek", "CYP", 74.1 ], [ "Czech", "CZE", 81.2 ], [ "German", "DEU", 91.3 ], [ "Somali", "DJI", 43.9 ], [ "Creole English", "DMA", 100.0 ], [ "Danish", "DNK", 93.5 ], [ "Spanish", "DOM", 98.0 ], [ "Arabic", "DZA", 86.0 ], [ "Spanish", "ECU", 93.0 ], [ "Arabic", "EGY", 98.8 ], [ "Tigrinja", "ERI", 49.1 ], [ "Arabic", "ESH", 100.0 ], [ "Spanish", "ESP", 74.4 ], [ "Estonian", "EST", 65.3 ], [ "Oromo", "ETH", 31.0 ], [ "Finnish", "FIN", 92.7 ], [ "Fijian", "FJI", 50.8 ], [ "English", "FLK", 0.0 ], [ "French", "FRA", 93.6 ], [ "Faroese", "FRO", 100.0 ], [ "Trukese", "FSM", 41.6 ], [ "Fang", "GAB", 35.8 ], [ "English", "GBR", 97.3 ], [ "Georgiana", "GEO", 71.7 ], [ "Akan", "GHA", 52.4 ], [ "English", "GIB", 88.9 ], [ "Ful", "GIN", 38.6 ], [ "Creole French", "GLP", 95.0 ], [ "Malinke", "GMB", 34.1 ], [ "Crioulo", "GNB", 36.4 ], [ "Fang", "GNQ", 84.8 ], [ "Greek", "GRC", 98.5 ], [ "Creole English", "GRD", 100.0 ], [ "Greenlandic", "GRL", 87.5 ], [ "Spanish", "GTM", 64.7 ], [ "Creole French", "GUF", 94.3 ], [ "English", "GUM", 37.5 ], [ "Creole English", "GUY", 96.4 ], [ "Canton Chinese", "HKG", 88.7 ], [ "Spanish", "HND", 97.2 ], [ "Serbo-Croatian", "HRV", 95.9 ], [ "Haiti Creole", "HTI", 100.0 ], [ "Hungarian", "HUN", 98.5 ], [ "Javanese", "IDN", 39.4 ], [ "Hindi", "IND", 39.9 ], [ "English", "IRL", 98.4 ], [ "Persian", "IRN", 45.7 ], [ "Arabic", "IRQ", 77.2 ], [ "Icelandic", "ISL", 95.7 ], [ "Hebrew", "ISR", 63.1 ], [ "Italian", "ITA", 94.1 ], [ "Creole English", "JAM", 94.2 ], [ "Arabic", "JOR", 97.9 ], [ "Japanese", "JPN", 99.1 ], [ "Kazakh", "KAZ", 46.0 ], [ "Kikuyu", "KEN", 20.9 ], [ "Kirgiz", "KGZ", 59.7 ], [ "Khmer", "KHM", 88.6 ], [ "Kiribati", "KIR", 98.9 ], [ "Creole English", "KNA", 100.0 ], [ "Korean", "KOR", 99.9 ], [ "Arabic", "KWT", 78.1 ], [ "Lao", "LAO", 67.2 ], [ "Arabic", "LBN", 93.0 ], [ "Kpelle", "LBR", 19.5 ], [ "Arabic", "LBY", 96.0 ], [ "Creole French", "LCA", 80.0 ], [ "German", "LIE", 89.0 ], [ "Singali", "LKA", 60.3 ], [ "Sotho", "LSO", 85.0 ], [ "Lithuanian", "LTU", 81.6 ], [ "Luxembourgish", "LUX", 64.4 ], [ "Latvian", "LVA", 55.1 ], [ "Canton Chinese", "MAC", 85.6 ], [ "Arabic", "MAR", 65.0 ], [ "French", "MCO", 41.9 ], [ "Romanian", "MDA", 61.9 ], [ "Malagasy", "MDG", 98.9 ], [ "Dhivehi", "MDV", 100.0 ], [ "Spanish", "MEX", 92.1 ], [ "Marshallese", "MHL", 96.8 ], [ "Macedonian", "MKD", 66.5 ], [ "Bambara", "MLI", 31.8 ], [ "Maltese", "MLT", 95.8 ], [ "Burmese", "MMR", 69.0 ], [ "Mongolian", "MNG", 78.8 ], [ "Philippene Languages", "MNP", 34.1 ], [ "Makua", "MOZ", 27.8 ], [ "Hassaniya", "MRT", 81.7 ], [ "English", "MSR", 0.0 ], [ "Creole French", "MTQ", 96.6 ], [ "Creole French", "MUS", 70.6 ], [ "Chichewa", "MWI", 58.3 ], [ "Malay", "MYS", 58.4 ], [ "Mahoré", "MYT", 41.9 ], [ "Ovambo", "NAM", 50.7 ], [ "Malenasian Languages", "NCL", 45.4 ], [ "Hausa", "NER", 53.1 ], [ "English", "NFK", 0.0 ], [ "Joruba", "NGA", 21.4 ], [ "Spanish", "NIC", 97.6 ], [ "English", "NIU", 0.0 ], [ "Dutch", "NLD", 95.6 ], [ "Norwegian", "NOR", 96.6 ], [ "Nepali", "NPL", 50.4 ], [ "Nauru", "NRU", 57.5 ], [ "English", "NZL", 87.0 ], [ "Arabic", "OMN", 76.7 ], [ "Punjabi", "PAK", 48.2 ], [ "Spanish", "PAN", 76.8 ], [ "Pitcairnese", "PCN", 0.0 ], [ "Spanish", "PER", 79.8 ], [ "Pilipino", "PHL", 29.3 ], [ "Palau", "PLW", 82.2 ], [ "Papuan Languages", "PNG", 78.1 ], [ "Polish", "POL", 97.6 ], [ "Spanish", "PRI", 51.3 ], [ "Korean", "PRK", 99.9 ], [ "Portuguese", "PRT", 99.0 ], [ "Spanish", "PRY", 55.1 ], [ "Arabic", "PSE", 95.9 ], [ "Tahitian", "PYF", 46.4 ], [ "Arabic", "QAT", 40.7 ], [ "Creole French", "REU", 91.5 ], [ "Romanian", "ROM", 90.7 ], [ "Russian", "RUS", 86.6 ], [ "Rwanda", "RWA", 100.0 ], [ "Arabic", "SAU", 95.0 ], [ "Arabic", "SDN", 49.4 ], [ "Wolof", "SEN", 48.1 ], [ "Chinese", "SGP", 77.1 ], [ "English", "SHN", 0.0 ], [ "Norwegian", "SJM", 0.0 ], [ "Malenasian Languages", "SLB", 85.6 ], [ "Mende", "SLE", 34.8 ], [ "Spanish", "SLV", 100.0 ], [ "Italian", "SMR", 100.0 ], [ "Somali", "SOM", 98.3 ], [ "French", "SPM", 0.0 ], [ "Crioulo", "STP", 86.3 ], [ "Sranantonga", "SUR", 81.0 ], [ "Slovak", "SVK", 85.6 ], [ "Slovene", "SVN", 87.9 ], [ "Swedish", "SWE", 89.5 ], [ "Swazi", "SWZ", 89.9 ], [ "Seselwa", "SYC", 91.3 ], [ "Arabic", "SYR", 90.0 ], [ "English", "TCA", 0.0 ], [ "Sara", "TCD", 27.7 ], [ "Ewe", "TGO", 23.2 ], [ "Thai", "THA", 52.6 ], [ "Tadzhik", "TJK", 62.2 ], [ "English", "TKL", 0.0 ], [ "Turkmenian", "TKM", 76.7 ], [ "Portuguese", "TMP", 0.0 ], [ "Tongan", "TON", 98.3 ], [ "English", "TTO", 93.5 ], [ "Arabic", "TUN", 69.9 ], [ "Turkish", "TUR", 87.6 ], [ "Tuvalu", "TUV", 92.5 ], [ "Min", "TWN", 66.7 ], [ "Nyamwesi", "TZA", 21.1 ], [ "Ganda", "UGA", 18.1 ], [ "Ukrainian", "UKR", 64.7 ], [ "English", "UMI", 0.0 ], [ "Spanish", "URY", 95.7 ], [ "English", "USA", 86.2 ], [ "Uzbek", "UZB", 72.6 ], [ "Italian", "VAT", 0.0 ], [ "Creole English", "VCT", 99.1 ], [ "Spanish", "VEN", 96.9 ], [ "English", "VGB", 0.0 ], [ "English", "VIR", 81.7 ], [ "Vietnamese", "VNM", 86.8 ], [ "Bislama", "VUT", 56.6 ], [ "Futuna", "WLF", 0.0 ], [ "Samoan-English", "WSM", 52.0 ], [ "Arabic", "YEM", 99.6 ], [ "Serbo-Croatian", "YUG", 75.2 ], [ "Zulu", "ZAF", 22.7 ], [ "Bemba", "ZMB", 29.7 ], [ "Shona", "ZWE", 72.1 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_027" }, { "question_text": "Give the language that is spoken in the most countries.", "database_name": "world_1", "gold_sql": "SELECT LANGUAGE FROM countrylanguage GROUP BY LANGUAGE ORDER BY count(*) DESC LIMIT 1", "gold_answer": "English", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_028" }, { "question_text": "Which language is spoken by the largest number of countries?", "database_name": "world_1", "gold_sql": "SELECT LANGUAGE FROM countrylanguage GROUP BY LANGUAGE ORDER BY count(*) DESC LIMIT 1", "gold_answer": "English", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_029" }, { "question_text": "Find the name, population and expected life length of asian country with the largest area?", "database_name": "world_1", "gold_sql": "SELECT Name , Population , LifeExpectancy FROM country WHERE Continent = \"Asia\" ORDER BY SurfaceArea DESC LIMIT 1", "gold_answer": [ [ "China", 1277558000, 71.4 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_030" }, { "question_text": "What are the name, population, and life expectancy of the largest Asian country by land?", "database_name": "world_1", "gold_sql": "SELECT Name , Population , LifeExpectancy FROM country WHERE Continent = \"Asia\" ORDER BY SurfaceArea DESC LIMIT 1", "gold_answer": [ [ "China", 1277558000, 71.4 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_031" }, { "question_text": "Give the name, year of independence, and surface area of the country that has the lowest population.", "database_name": "world_1", "gold_sql": "SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1", "gold_answer": [ [ "Antarctica", 13120000.0, null ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_032" }, { "question_text": "What are the name, independence year, and surface area of the country with the smallest population?", "database_name": "world_1", "gold_sql": "SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1", "gold_answer": [ [ "Antarctica", 13120000.0, null ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_033" }, { "question_text": "Return the names and surface areas of the 5 largest countries.", "database_name": "world_1", "gold_sql": "SELECT Name , SurfaceArea FROM country ORDER BY SurfaceArea DESC LIMIT 5", "gold_answer": [ [ "Russian Federation", 17075400.0 ], [ "Antarctica", 13120000.0 ], [ "Canada", 9970610.0 ], [ "China", 9572900.0 ], [ "United States", 9363520.0 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_034" }, { "question_text": "What are the names and areas of countries with the top 5 largest area?", "database_name": "world_1", "gold_sql": "SELECT Name , SurfaceArea FROM country ORDER BY SurfaceArea DESC LIMIT 5", "gold_answer": [ [ "Russian Federation", 17075400.0 ], [ "Antarctica", 13120000.0 ], [ "Canada", 9970610.0 ], [ "China", 9572900.0 ], [ "United States", 9363520.0 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_035" }, { "question_text": "Give the name, population, and head of state for the country that has the largest area.", "database_name": "world_1", "gold_sql": "SELECT Name , population , HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1", "gold_answer": [ [ "Russian Federation", 146934000, "Vladimir Putin" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_036" }, { "question_text": "What are the population, name and leader of the country with the largest area?", "database_name": "world_1", "gold_sql": "SELECT Name , population , HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1", "gold_answer": [ [ "Russian Federation", 146934000, "Vladimir Putin" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_037" }, { "question_text": "Return the names of the 3 countries with the fewest people.", "database_name": "world_1", "gold_sql": "SELECT Name FROM country ORDER BY Population ASC LIMIT 3", "gold_answer": [ "Antarctica", "French Southern territories", "Bouvet Island" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_038" }, { "question_text": "What are the names of the nations with the 3 lowest populations?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country ORDER BY Population ASC LIMIT 3", "gold_answer": [ "Antarctica", "French Southern territories", "Bouvet Island" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_039" }, { "question_text": "Return the names of the 3 most populated countries.", "database_name": "world_1", "gold_sql": "SELECT Name FROM country ORDER BY Population DESC LIMIT 3", "gold_answer": [ "China", "India", "United States" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_040" }, { "question_text": "What are names of countries with the top 3 largest population?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country ORDER BY Population DESC LIMIT 3", "gold_answer": [ "China", "India", "United States" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_041" }, { "question_text": "What are the African countries that have a population less than any country in Asia?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE Continent = \"Africa\" AND population < (SELECT max(population) FROM country WHERE Continent = \"Asia\")", "gold_answer": [ "Angola", "Burundi", "Benin", "Burkina Faso", "Botswana", "Central African Republic", "Côte d’Ivoire", "Cameroon", "Congo, The Democratic Republic of the", "Congo", "Comoros", "Cape Verde", "Djibouti", "Algeria", "Egypt", "Eritrea", "Western Sahara", "Ethiopia", "Gabon", "Ghana", "Guinea", "Gambia", "Guinea-Bissau", "Equatorial Guinea", "British Indian Ocean Territory", "Kenya", "Liberia", "Libyan Arab Jamahiriya", "Lesotho", "Morocco", "Madagascar", "Mali", "Mozambique", "Mauritania", "Mauritius", "Malawi", "Mayotte", "Namibia", "Niger", "Nigeria", "Réunion", "Rwanda", "Sudan", "Senegal", "Saint Helena", "Sierra Leone", "Somalia", "Sao Tome and Principe", "Swaziland", "Seychelles", "Chad", "Togo", "Tunisia", "Tanzania", "Uganda", "South Africa", "Zambia", "Zimbabwe" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_042" }, { "question_text": "Which African countries have a smaller population than that of any country in Asia?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE Continent = \"Africa\" AND population < (SELECT min(population) FROM country WHERE Continent = \"Asia\")", "gold_answer": [ "British Indian Ocean Territory", "Mayotte", "Saint Helena", "Sao Tome and Principe", "Seychelles" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_043" }, { "question_text": "Which Asian countries have a population that is larger than any country in Africa?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE Continent = \"Asia\" AND population > (SELECT max(population) FROM country WHERE Continent = \"Africa\")", "gold_answer": [ "Bangladesh", "China", "Indonesia", "India", "Japan", "Pakistan" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_044" }, { "question_text": "What are the Asian countries which have a population larger than that of any country in Africa?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE Continent = \"Asia\" AND population > (SELECT min(population) FROM country WHERE Continent = \"Africa\")", "gold_answer": [ "Afghanistan", "United Arab Emirates", "Armenia", "Azerbaijan", "Bangladesh", "Bahrain", "Brunei", "Bhutan", "China", "Cyprus", "Georgia", "Hong Kong", "Indonesia", "India", "Iran", "Iraq", "Israel", "Jordan", "Japan", "Kazakstan", "Kyrgyzstan", "Cambodia", "South Korea", "Kuwait", "Laos", "Lebanon", "Sri Lanka", "Macao", "Maldives", "Myanmar", "Mongolia", "Malaysia", "Nepal", "Oman", "Pakistan", "Philippines", "North Korea", "Palestine", "Qatar", "Saudi Arabia", "Singapore", "Syria", "Thailand", "Tajikistan", "Turkmenistan", "East Timor", "Turkey", "Taiwan", "Uzbekistan", "Vietnam", "Yemen" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_045" }, { "question_text": "Give the name of the country in Asia with the lowest life expectancy.", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE Continent = \"Asia\" ORDER BY LifeExpectancy LIMIT 1", "gold_answer": "Afghanistan", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_046" }, { "question_text": "What is the name of country that has the shortest life expectancy in Asia?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE Continent = \"Asia\" ORDER BY LifeExpectancy LIMIT 1", "gold_answer": "Afghanistan", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_047" }, { "question_text": "Give the names of the nations that were founded after 1950.", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE IndepYear > 1950", "gold_answer": [ "Angola", "United Arab Emirates", "Armenia", "Antigua and Barbuda", "Azerbaijan", "Burundi", "Benin", "Burkina Faso", "Bangladesh", "Bahrain", "Bahamas", "Bosnia and Herzegovina", "Belarus", "Belize", "Barbados", "Brunei", "Botswana", "Central African Republic", "Côte d’Ivoire", "Cameroon", "Congo, The Democratic Republic of the", "Congo", "Comoros", "Cape Verde", "Cyprus", "Czech Republic", "Germany", "Djibouti", "Dominica", "Algeria", "Eritrea", "Estonia", "Fiji Islands", "Micronesia, Federated States of", "Gabon", "Georgia", "Ghana", "Guinea", "Gambia", "Guinea-Bissau", "Equatorial Guinea", "Grenada", "Guyana", "Croatia", "Jamaica", "Kazakstan", "Kenya", "Kyrgyzstan", "Cambodia", "Kiribati", "Saint Kitts and Nevis", "Kuwait", "Laos", "Libyan Arab Jamahiriya", "Saint Lucia", "Lesotho", "Lithuania", "Latvia", "Morocco", "Moldova", "Madagascar", "Maldives", "Marshall Islands", "Macedonia", "Mali", "Malta", "Mozambique", "Mauritania", "Mauritius", "Malawi", "Malaysia", "Namibia", "Niger", "Nigeria", "Nauru", "Oman", "Palau", "Papua New Guinea", "Qatar", "Russian Federation", "Rwanda", "Sudan", "Senegal", "Singapore", "Solomon Islands", "Sierra Leone", "Somalia", "Sao Tome and Principe", "Suriname", "Slovakia", "Slovenia", "Swaziland", "Seychelles", "Chad", "Togo", "Tajikistan", "Turkmenistan", "Tonga", "Trinidad and Tobago", "Tunisia", "Tuvalu", "Tanzania", "Uganda", "Ukraine", "Uzbekistan", "Saint Vincent and the Grenadines", "Vanuatu", "Samoa", "Zambia", "Zimbabwe" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_048" }, { "question_text": "What are the names of all the countries that became independent after 1950?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE IndepYear > 1950", "gold_answer": [ "Angola", "United Arab Emirates", "Armenia", "Antigua and Barbuda", "Azerbaijan", "Burundi", "Benin", "Burkina Faso", "Bangladesh", "Bahrain", "Bahamas", "Bosnia and Herzegovina", "Belarus", "Belize", "Barbados", "Brunei", "Botswana", "Central African Republic", "Côte d’Ivoire", "Cameroon", "Congo, The Democratic Republic of the", "Congo", "Comoros", "Cape Verde", "Cyprus", "Czech Republic", "Germany", "Djibouti", "Dominica", "Algeria", "Eritrea", "Estonia", "Fiji Islands", "Micronesia, Federated States of", "Gabon", "Georgia", "Ghana", "Guinea", "Gambia", "Guinea-Bissau", "Equatorial Guinea", "Grenada", "Guyana", "Croatia", "Jamaica", "Kazakstan", "Kenya", "Kyrgyzstan", "Cambodia", "Kiribati", "Saint Kitts and Nevis", "Kuwait", "Laos", "Libyan Arab Jamahiriya", "Saint Lucia", "Lesotho", "Lithuania", "Latvia", "Morocco", "Moldova", "Madagascar", "Maldives", "Marshall Islands", "Macedonia", "Mali", "Malta", "Mozambique", "Mauritania", "Mauritius", "Malawi", "Malaysia", "Namibia", "Niger", "Nigeria", "Nauru", "Oman", "Palau", "Papua New Guinea", "Qatar", "Russian Federation", "Rwanda", "Sudan", "Senegal", "Singapore", "Solomon Islands", "Sierra Leone", "Somalia", "Sao Tome and Principe", "Suriname", "Slovakia", "Slovenia", "Swaziland", "Seychelles", "Chad", "Togo", "Tajikistan", "Turkmenistan", "Tonga", "Trinidad and Tobago", "Tunisia", "Tuvalu", "Tanzania", "Uganda", "Ukraine", "Uzbekistan", "Saint Vincent and the Grenadines", "Vanuatu", "Samoa", "Zambia", "Zimbabwe" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_049" }, { "question_text": "What are the countries that have greater surface area than any country in Europe?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = \"Europe\")", "gold_answer": [ "Aruba", "Afghanistan", "Angola", "Anguilla", "Albania", "Andorra", "Netherlands Antilles", "United Arab Emirates", "Argentina", "Armenia", "American Samoa", "Antarctica", "French Southern territories", "Antigua and Barbuda", "Australia", "Austria", "Azerbaijan", "Burundi", "Belgium", "Benin", "Burkina Faso", "Bangladesh", "Bulgaria", "Bahrain", "Bahamas", "Bosnia and Herzegovina", "Belarus", "Belize", "Bermuda", "Bolivia", "Brazil", "Barbados", "Brunei", "Bhutan", "Bouvet Island", "Botswana", "Central African Republic", "Canada", "Cocos (Keeling) Islands", "Switzerland", "Chile", "China", "Côte d’Ivoire", "Cameroon", "Congo, The Democratic Republic of the", "Congo", "Cook Islands", "Colombia", "Comoros", "Cape Verde", "Costa Rica", "Cuba", "Christmas Island", "Cayman Islands", "Cyprus", "Czech Republic", "Germany", "Djibouti", "Dominica", "Denmark", "Dominican Republic", "Algeria", "Ecuador", "Egypt", "Eritrea", "Western Sahara", "Spain", "Estonia", "Ethiopia", "Finland", "Fiji Islands", "Falkland Islands", "France", "Faroe Islands", "Micronesia, Federated States of", "Gabon", "United Kingdom", "Georgia", "Ghana", "Gibraltar", "Guinea", "Guadeloupe", "Gambia", "Guinea-Bissau", "Equatorial Guinea", "Greece", "Grenada", "Greenland", "Guatemala", "French Guiana", "Guam", "Guyana", "Hong Kong", "Heard Island and McDonald Islands", "Honduras", "Croatia", "Haiti", "Hungary", "Indonesia", "India", "British Indian Ocean Territory", "Ireland", "Iran", "Iraq", "Iceland", "Israel", "Italy", "Jamaica", "Jordan", "Japan", "Kazakstan", "Kenya", "Kyrgyzstan", "Cambodia", "Kiribati", "Saint Kitts and Nevis", "South Korea", "Kuwait", "Laos", "Lebanon", "Liberia", "Libyan Arab Jamahiriya", "Saint Lucia", "Liechtenstein", "Sri Lanka", "Lesotho", "Lithuania", "Luxembourg", "Latvia", "Macao", "Morocco", "Monaco", "Moldova", "Madagascar", "Maldives", "Mexico", "Marshall Islands", "Macedonia", "Mali", "Malta", "Myanmar", "Mongolia", "Northern Mariana Islands", "Mozambique", "Mauritania", "Montserrat", "Martinique", "Mauritius", "Malawi", "Malaysia", "Mayotte", "Namibia", "New Caledonia", "Niger", "Norfolk Island", "Nigeria", "Nicaragua", "Niue", "Netherlands", "Norway", "Nepal", "Nauru", "New Zealand", "Oman", "Pakistan", "Panama", "Pitcairn", "Peru", "Philippines", "Palau", "Papua New Guinea", "Poland", "Puerto Rico", "North Korea", "Portugal", "Paraguay", "Palestine", "French Polynesia", "Qatar", "Réunion", "Romania", "Russian Federation", "Rwanda", "Saudi Arabia", "Sudan", "Senegal", "Singapore", "South Georgia and the South Sandwich Islands", "Saint Helena", "Svalbard and Jan Mayen", "Solomon Islands", "Sierra Leone", "El Salvador", "San Marino", "Somalia", "Saint Pierre and Miquelon", "Sao Tome and Principe", "Suriname", "Slovakia", "Slovenia", "Sweden", "Swaziland", "Seychelles", "Syria", "Turks and Caicos Islands", "Chad", "Togo", "Thailand", "Tajikistan", "Tokelau", "Turkmenistan", "East Timor", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Tuvalu", "Taiwan", "Tanzania", "Uganda", "Ukraine", "United States Minor Outlying Islands", "Uruguay", "United States", "Uzbekistan", "Saint Vincent and the Grenadines", "Venezuela", "Virgin Islands, British", "Virgin Islands, U.S.", "Vietnam", "Vanuatu", "Wallis and Futuna", "Samoa", "Yemen", "Yugoslavia", "South Africa", "Zambia", "Zimbabwe" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_050" }, { "question_text": "Which countries have greater area than that of any country in Europe?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = \"Europe\")", "gold_answer": [ "Aruba", "Afghanistan", "Angola", "Anguilla", "Albania", "Andorra", "Netherlands Antilles", "United Arab Emirates", "Argentina", "Armenia", "American Samoa", "Antarctica", "French Southern territories", "Antigua and Barbuda", "Australia", "Austria", "Azerbaijan", "Burundi", "Belgium", "Benin", "Burkina Faso", "Bangladesh", "Bulgaria", "Bahrain", "Bahamas", "Bosnia and Herzegovina", "Belarus", "Belize", "Bermuda", "Bolivia", "Brazil", "Barbados", "Brunei", "Bhutan", "Bouvet Island", "Botswana", "Central African Republic", "Canada", "Cocos (Keeling) Islands", "Switzerland", "Chile", "China", "Côte d’Ivoire", "Cameroon", "Congo, The Democratic Republic of the", "Congo", "Cook Islands", "Colombia", "Comoros", "Cape Verde", "Costa Rica", "Cuba", "Christmas Island", "Cayman Islands", "Cyprus", "Czech Republic", "Germany", "Djibouti", "Dominica", "Denmark", "Dominican Republic", "Algeria", "Ecuador", "Egypt", "Eritrea", "Western Sahara", "Spain", "Estonia", "Ethiopia", "Finland", "Fiji Islands", "Falkland Islands", "France", "Faroe Islands", "Micronesia, Federated States of", "Gabon", "United Kingdom", "Georgia", "Ghana", "Gibraltar", "Guinea", "Guadeloupe", "Gambia", "Guinea-Bissau", "Equatorial Guinea", "Greece", "Grenada", "Greenland", "Guatemala", "French Guiana", "Guam", "Guyana", "Hong Kong", "Heard Island and McDonald Islands", "Honduras", "Croatia", "Haiti", "Hungary", "Indonesia", "India", "British Indian Ocean Territory", "Ireland", "Iran", "Iraq", "Iceland", "Israel", "Italy", "Jamaica", "Jordan", "Japan", "Kazakstan", "Kenya", "Kyrgyzstan", "Cambodia", "Kiribati", "Saint Kitts and Nevis", "South Korea", "Kuwait", "Laos", "Lebanon", "Liberia", "Libyan Arab Jamahiriya", "Saint Lucia", "Liechtenstein", "Sri Lanka", "Lesotho", "Lithuania", "Luxembourg", "Latvia", "Macao", "Morocco", "Monaco", "Moldova", "Madagascar", "Maldives", "Mexico", "Marshall Islands", "Macedonia", "Mali", "Malta", "Myanmar", "Mongolia", "Northern Mariana Islands", "Mozambique", "Mauritania", "Montserrat", "Martinique", "Mauritius", "Malawi", "Malaysia", "Mayotte", "Namibia", "New Caledonia", "Niger", "Norfolk Island", "Nigeria", "Nicaragua", "Niue", "Netherlands", "Norway", "Nepal", "Nauru", "New Zealand", "Oman", "Pakistan", "Panama", "Pitcairn", "Peru", "Philippines", "Palau", "Papua New Guinea", "Poland", "Puerto Rico", "North Korea", "Portugal", "Paraguay", "Palestine", "French Polynesia", "Qatar", "Réunion", "Romania", "Russian Federation", "Rwanda", "Saudi Arabia", "Sudan", "Senegal", "Singapore", "South Georgia and the South Sandwich Islands", "Saint Helena", "Svalbard and Jan Mayen", "Solomon Islands", "Sierra Leone", "El Salvador", "San Marino", "Somalia", "Saint Pierre and Miquelon", "Sao Tome and Principe", "Suriname", "Slovakia", "Slovenia", "Sweden", "Swaziland", "Seychelles", "Syria", "Turks and Caicos Islands", "Chad", "Togo", "Thailand", "Tajikistan", "Tokelau", "Turkmenistan", "East Timor", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Tuvalu", "Taiwan", "Tanzania", "Uganda", "Ukraine", "United States Minor Outlying Islands", "Uruguay", "United States", "Uzbekistan", "Saint Vincent and the Grenadines", "Venezuela", "Virgin Islands, British", "Virgin Islands, U.S.", "Vietnam", "Vanuatu", "Wallis and Futuna", "Samoa", "Yemen", "Yugoslavia", "South Africa", "Zambia", "Zimbabwe" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_051" }, { "question_text": "Give the names of countries that are in Europe and have a population equal to 80000.", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE continent = \"Europe\" AND Population = \"80000\"", "gold_answer": [], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_052" }, { "question_text": "What are the names of the countries that are in the continent of Europe and have a population of 80000?", "database_name": "world_1", "gold_sql": "SELECT Name FROM country WHERE continent = \"Europe\" AND Population = \"80000\"", "gold_answer": [], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_053" }, { "question_text": "Give me Brazil’s population and life expectancies.", "database_name": "world_1", "gold_sql": "SELECT Population , LifeExpectancy FROM country WHERE Name = \"Brazil\"", "gold_answer": [ [ 170115000, 62.9 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_054" }, { "question_text": "What are the population and life expectancies in Brazil?", "database_name": "world_1", "gold_sql": "SELECT Population , LifeExpectancy FROM country WHERE Name = \"Brazil\"", "gold_answer": [ [ 170115000, 62.9 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_055" }, { "question_text": "What are the region and population of Angola?", "database_name": "world_1", "gold_sql": "SELECT Population , Region FROM country WHERE Name = \"Angola\"", "gold_answer": [ [ 12878000, "Central Africa" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_056" }, { "question_text": "What region does Angola belong to and what is its population?", "database_name": "world_1", "gold_sql": "SELECT Population , Region FROM country WHERE Name = \"Angola\"", "gold_answer": [ [ 12878000, "Central Africa" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_057" }, { "question_text": "What region is Kabul in?", "database_name": "world_1", "gold_sql": "SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = \"Kabul\"", "gold_answer": "Southern and Central Asia", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "city", "country" ], "split": "eval", "question_id": "world_1_eval_058" }, { "question_text": "Which region is the city Kabul located in?", "database_name": "world_1", "gold_sql": "SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = \"Kabul\"", "gold_answer": "Southern and Central Asia", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "city", "country" ], "split": "eval", "question_id": "world_1_eval_059" }, { "question_text": "Which continent has the most diverse languages?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "Africa", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_060" }, { "question_text": "Which continent speaks the most languages?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "Africa", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_061" }, { "question_text": "Find the city with the largest population that uses English.", "database_name": "world_1", "gold_sql": "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", "gold_answer": [ [ "New York", 8008278 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "city", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_062" }, { "question_text": "What is the most populace city that speaks English?", "database_name": "world_1", "gold_sql": "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", "gold_answer": [ [ "New York", 8008278 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "city", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_063" }, { "question_text": "Give the name of the nation that uses the greatest amount of languages.", "database_name": "world_1", "gold_sql": "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", "gold_answer": "United States", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_064" }, { "question_text": "What is name of the country that speaks the largest number of languages?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "United States", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_065" }, { "question_text": "Give the names of countries with English and French as official languages.", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Canada", "Seychelles", "Vanuatu" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_066" }, { "question_text": "What are the names of nations where both English and French are official languages?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Canada", "Seychelles", "Vanuatu" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_067" }, { "question_text": "Give the names of nations that speak both English and French.", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Canada", "Monaco", "Seychelles", "United States", "Vanuatu", "Virgin Islands, U.S." ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_068" }, { "question_text": "What are the names of nations speak both English and French?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [ "Canada", "Monaco", "Seychelles", "United States", "Vanuatu", "Virgin Islands, U.S." ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_069" }, { "question_text": "What is the language that is used by the largest number of Asian nations?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "Arabic", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_070" }, { "question_text": "Which language is the most popular on the Asian continent?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "Arabic", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_071" }, { "question_text": "What languages are only used by a single country with a republic government?", "database_name": "world_1", "gold_sql": "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", "gold_answer": [ "Abhyasi", "Acholi", "Adja", "Aizo", "Ambo", "Amhara", "Ami", "Ane", "Arabic-French", "Arabic-French-English", "Araucan", "Assyrian", "Atayal", "Bajad", "Balante", "Bali", "Balochi", "Bambara", "Bamileke-bamum", "Banda", "Banja", "Bariba", "Bassa", "Batakki", "Bemba", "Bengali", "Berberi", "Bhojpuri", "Bicol", "Bilin", "Bislama", "Boa", "Brahui", "Bubi", "Bugi", "Bullom-sherbro", "Burmese", "Buryat", "Busansi", "Cakchiquel", "Caprivi", "Cebuano", "Chaga and Pare", "Chakma", "Chewa", "Chichewa", "Chin", "Chuabo", "Comorian", "Comorian-Arabic", "Comorian-French", "Comorian-Swahili", "Comorian-madagassi", "Cuna", "Czech", "Czech and Moravian", "Dagara", "Dariganga", "Dhivehi", "Dorbet", "Duala", "Dyula", "Embera", "Fijian", "Fon", "Friuli", "Ga-adangme", "Gagauzi", "Ganda", "Garifuna", "Garo", "Gbaya", "Georgiana", "Gio", "Gisu", "Gogo", "Gorane", "Grebo", "Guaymí", "Gur", "Gurage", "Gusii", "Ha", "Hadareb", "Hadjarai", "Haiti Creole", "Hakka", "Hassaniya", "Hausa", "Haya", "Hebrew", "Hehet", "Herero", "Hiligaynon", "Hindko", "Icelandic", "Ilocano", "Irish", "Javanese", "Kabyé", "Kachin", "Kalenjin", "Kamba", "Kanem-bornu", "Kanuri", "Karakalpak", "Karen", "Kavango", "Kayah", "Kekchí", "Khasi", "Khoekhoe", "Kiga", "Kikuyu", "Kirgiz", "Kirundi", "Kissi", "Kono-vai", "Korean", "Kotokoli", "Kuranko", "Lango", "Lao", "Lao-Soung", "Latvian", "Limba", "Lozi", "Luba", "Luchazi", "Lugbara", "Luguru", "Luhya", "Luimbe-nganguela", "Luo", "Luvale", "Madura", "Maguindanao", "Maka", "Makonde", "Makua", "Maltese", "Mam", "Mandara", "Mandarin Chinese", "Mandjia", "Mandyako", "Mano", "Maranao", "Marathi", "Marendje", "Marma", "Marshallese", "Masai", "Masana", "Mayo-kebbi", "Mboshi", "Mbum", "Mbundu", "Mende", "Meru", "Min", "Minangkabau", "Mixed Languages", "Moba", "Mon", "Mon-khmer", "Mongo", "Mongolian", "Moravian", "Mpongwe", "Nahua", "Nama", "Naudemba", "Nauru", "Ngala and Bangi", "Ngbaka", "Ngoni", "Nkole", "Northsotho", "Nsenga", "Nyakusa", "Nyamwesi", "Nyaneka-nkhumbi", "Nyika", "Oromo", "Osseetti", "Ouaddai", "Ovambo", "Ovimbundu", "Paiwan", "Palau", "Pampango", "Pangasinan", "Pashto", "Persian", "Philippene Languages", "Pilipino", "Punjabi", "Punu", "Punu-sira-nzebi", "Quiché", "Rakhine", "Rapa nui", "Ronga", "Rundi", "Saame", "Saho", "Sango", "Santhali", "Saraiki", "Sardinian", "Sena", "Senufo and Minianka", "Serer", "Seselwa", "Shambala", "Shan", "Sidamo", "Silesiana", "Sinaberberi", "Sindhi", "Singali", "Soga", "Somba", "Songhai", "Songhai-zerma", "Soqutri", "Southsotho", "Sranantonga", "Sumo", "Sunda", "Susu", "Swazi", "Swedish", "Tandjile", "Temne", "Teso", "Thai", "Tigre", "Tikar", "Tongan", "Tripuri", "Tswa", "Tukulor", "Turkana", "Turkmenian", "Ukrainian and Russian", "Urdu", "Venda", "Walaita", "Waray-waray", "Watyi", "Xhosa", "Yao", "Zande", "Zenaga", "Zulu", "[South]Mande" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_072" }, { "question_text": "Which languages are spoken by only one country in republic governments?", "database_name": "world_1", "gold_sql": "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", "gold_answer": [ "Abhyasi", "Acholi", "Adja", "Aizo", "Ambo", "Amhara", "Ami", "Ane", "Arabic-French", "Arabic-French-English", "Araucan", "Assyrian", "Atayal", "Bajad", "Balante", "Bali", "Balochi", "Bambara", "Bamileke-bamum", "Banda", "Banja", "Bariba", "Bassa", "Batakki", "Bemba", "Bengali", "Berberi", "Bhojpuri", "Bicol", "Bilin", "Bislama", "Boa", "Brahui", "Bubi", "Bugi", "Bullom-sherbro", "Burmese", "Buryat", "Busansi", "Cakchiquel", "Caprivi", "Cebuano", "Chaga and Pare", "Chakma", "Chewa", "Chichewa", "Chin", "Chuabo", "Comorian", "Comorian-Arabic", "Comorian-French", "Comorian-Swahili", "Comorian-madagassi", "Cuna", "Czech", "Czech and Moravian", "Dagara", "Dariganga", "Dhivehi", "Dorbet", "Duala", "Dyula", "Embera", "Fijian", "Fon", "Friuli", "Ga-adangme", "Gagauzi", "Ganda", "Garifuna", "Garo", "Gbaya", "Georgiana", "Gio", "Gisu", "Gogo", "Gorane", "Grebo", "Guaymí", "Gur", "Gurage", "Gusii", "Ha", "Hadareb", "Hadjarai", "Haiti Creole", "Hakka", "Hassaniya", "Hausa", "Haya", "Hebrew", "Hehet", "Herero", "Hiligaynon", "Hindko", "Icelandic", "Ilocano", "Irish", "Javanese", "Kabyé", "Kachin", "Kalenjin", "Kamba", "Kanem-bornu", "Kanuri", "Karakalpak", "Karen", "Kavango", "Kayah", "Kekchí", "Khasi", "Khoekhoe", "Kiga", "Kikuyu", "Kirgiz", "Kirundi", "Kissi", "Kono-vai", "Korean", "Kotokoli", "Kuranko", "Lango", "Lao", "Lao-Soung", "Latvian", "Limba", "Lozi", "Luba", "Luchazi", "Lugbara", "Luguru", "Luhya", "Luimbe-nganguela", "Luo", "Luvale", "Madura", "Maguindanao", "Maka", "Makonde", "Makua", "Maltese", "Mam", "Mandara", "Mandarin Chinese", "Mandjia", "Mandyako", "Mano", "Maranao", "Marathi", "Marendje", "Marma", "Marshallese", "Masai", "Masana", "Mayo-kebbi", "Mboshi", "Mbum", "Mbundu", "Mende", "Meru", "Min", "Minangkabau", "Mixed Languages", "Moba", "Mon", "Mon-khmer", "Mongo", "Mongolian", "Moravian", "Mpongwe", "Nahua", "Nama", "Naudemba", "Nauru", "Ngala and Bangi", "Ngbaka", "Ngoni", "Nkole", "Northsotho", "Nsenga", "Nyakusa", "Nyamwesi", "Nyaneka-nkhumbi", "Nyika", "Oromo", "Osseetti", "Ouaddai", "Ovambo", "Ovimbundu", "Paiwan", "Palau", "Pampango", "Pangasinan", "Pashto", "Persian", "Philippene Languages", "Pilipino", "Punjabi", "Punu", "Punu-sira-nzebi", "Quiché", "Rakhine", "Rapa nui", "Ronga", "Rundi", "Saame", "Saho", "Sango", "Santhali", "Saraiki", "Sardinian", "Sena", "Senufo and Minianka", "Serer", "Seselwa", "Shambala", "Shan", "Sidamo", "Silesiana", "Sinaberberi", "Sindhi", "Singali", "Soga", "Somba", "Songhai", "Songhai-zerma", "Soqutri", "Southsotho", "Sranantonga", "Sumo", "Sunda", "Susu", "Swazi", "Swedish", "Tandjile", "Temne", "Teso", "Thai", "Tigre", "Tikar", "Tongan", "Tripuri", "Tswa", "Tukulor", "Turkana", "Turkmenian", "Ukrainian and Russian", "Urdu", "Venda", "Walaita", "Waray-waray", "Watyi", "Xhosa", "Yao", "Zande", "Zenaga", "Zulu", "[South]Mande" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_073" }, { "question_text": "What is the official language spoken in the country whose head of state is Beatrix?", "database_name": "world_1", "gold_sql": "SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = \"Beatrix\" AND T2.IsOfficial = \"T\"", "gold_answer": [ "Dutch", "Dutch", "Papiamento", "Dutch" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_074" }, { "question_text": "What is the official language used in the country the name of whose head of state is Beatrix.", "database_name": "world_1", "gold_sql": "SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = \"Beatrix\" AND T2.IsOfficial = \"T\"", "gold_answer": [ "Dutch", "Dutch", "Papiamento", "Dutch" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_075" }, { "question_text": "What language is predominantly spoken in Aruba?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "Papiamento", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_076" }, { "question_text": "Which language is the most popular in Aruba?", "database_name": "world_1", "gold_sql": "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", "gold_answer": "Papiamento", "answer_type": "string", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_077" }, { "question_text": "Give the mean GNP and total population of nations which are considered US territory.", "database_name": "world_1", "gold_sql": "SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = \"US Territory\"", "gold_answer": [ [ 510.3333333333333, 329000 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_078" }, { "question_text": "What is the average GNP and total population in all nations whose government is US territory?", "database_name": "world_1", "gold_sql": "SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = \"US Territory\"", "gold_answer": [ [ 510.3333333333333, 329000 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_079" }, { "question_text": "Give the average life expectancy for countries in Africa which are republics?", "database_name": "world_1", "gold_sql": "SELECT avg(LifeExpectancy) FROM country WHERE Continent = \"Africa\" AND GovernmentForm = \"Republic\"", "gold_answer": 50.84347826086957, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_080" }, { "question_text": "What is the average life expectancy in African countries that are republics?", "database_name": "world_1", "gold_sql": "SELECT avg(LifeExpectancy) FROM country WHERE Continent = \"Africa\" AND GovernmentForm = \"Republic\"", "gold_answer": 50.84347826086957, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_081" }, { "question_text": "Give the mean life expectancy of countries in which English is not the official language.", "database_name": "world_1", "gold_sql": "SELECT avg(LifeExpectancy) FROM country WHERE Name NOT 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\")", "gold_answer": 65.4827027027027, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_082" }, { "question_text": "What is average life expectancy in the countries where English is not the official language?", "database_name": "world_1", "gold_sql": "SELECT avg(LifeExpectancy) FROM country WHERE Name NOT 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\")", "gold_answer": 65.4827027027027, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_083" }, { "question_text": "How long is the people’s average life expectancy in Central Africa?", "database_name": "world_1", "gold_sql": "SELECT avg(LifeExpectancy) FROM country WHERE Region = \"Central Africa\"", "gold_answer": 50.31111111111111, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_084" }, { "question_text": "What is the average expected life expectancy for countries in the region of Central Africa?", "database_name": "world_1", "gold_sql": "SELECT avg(LifeExpectancy) FROM country WHERE Region = \"Central Africa\"", "gold_answer": 50.31111111111111, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_085" }, { "question_text": "Count the number of countries for which Spanish is the predominantly spoken language.", "database_name": "world_1", "gold_sql": "SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = \"Spanish\" GROUP BY CountryCode", "gold_answer": [ [ 1, 7.4 ], [ 1, 44.6 ], [ 1, 96.8 ], [ 1, 31.6 ], [ 1, 87.7 ], [ 1, 0.7 ], [ 1, 89.7 ], [ 1, 99.0 ], [ 1, 97.5 ], [ 1, 100.0 ], [ 1, 98.0 ], [ 1, 93.0 ], [ 1, 74.4 ], [ 1, 0.4 ], [ 1, 64.7 ], [ 1, 97.2 ], [ 1, 92.1 ], [ 1, 97.6 ], [ 1, 76.8 ], [ 1, 79.8 ], [ 1, 51.3 ], [ 1, 55.1 ], [ 1, 100.0 ], [ 1, 0.6 ], [ 1, 95.7 ], [ 1, 7.5 ], [ 1, 96.9 ], [ 1, 13.3 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_086" }, { "question_text": "What is the total number of countries where Spanish is spoken by the largest percentage of people?", "database_name": "world_1", "gold_sql": "SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = \"Spanish\" GROUP BY CountryCode", "gold_answer": [ [ 1, 7.4 ], [ 1, 44.6 ], [ 1, 96.8 ], [ 1, 31.6 ], [ 1, 87.7 ], [ 1, 0.7 ], [ 1, 89.7 ], [ 1, 99.0 ], [ 1, 97.5 ], [ 1, 100.0 ], [ 1, 98.0 ], [ 1, 93.0 ], [ 1, 74.4 ], [ 1, 0.4 ], [ 1, 64.7 ], [ 1, 97.2 ], [ 1, 92.1 ], [ 1, 97.6 ], [ 1, 76.8 ], [ 1, 79.8 ], [ 1, 51.3 ], [ 1, 55.1 ], [ 1, 100.0 ], [ 1, 0.6 ], [ 1, 95.7 ], [ 1, 7.5 ], [ 1, 96.9 ], [ 1, 13.3 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_087" }, { "question_text": "Find the number of cities in each district whose population is greater than the average population of cities?", "database_name": "world_1", "gold_sql": "SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District", "gold_answer": [ [ 1, "Abidjan" ], [ 1, "Abu Dhabi" ], [ 1, "Adana" ], [ 1, "Addis Abeba" ], [ 1, "Aden" ], [ 1, "Aguascalientes" ], [ 1, "Ahal" ], [ 2, "Aichi" ], [ 1, "Alagoas" ], [ 2, "Alberta" ], [ 1, "Aleksandria" ], [ 1, "Aleppo" ], [ 1, "Alger" ], [ 1, "Almaty Qalasy" ], [ 1, "Altai" ], [ 1, "Amazonas" ], [ 1, "Amman" ], [ 1, "Anambra & Enugu & Eb" ], [ 2, "Andalusia" ], [ 5, "Andhra Pradesh" ], [ 5, "Anhui" ], [ 1, "Ankara" ], [ 1, "Antalya" ], [ 1, "Antananarivo" ], [ 1, "Antioquia" ], [ 1, "Antwerpen" ], [ 1, "Aragonia" ], [ 1, "Aragua" ], [ 1, "Arequipa" ], [ 3, "Arizona" ], [ 1, "Arkangeli" ], [ 1, "Ashanti" ], [ 1, "Assam" ], [ 1, "Astrahan" ], [ 1, "Asunción" ], [ 1, "Atlantique" ], [ 1, "Atlántico" ], [ 1, "Attika" ], [ 1, "Auckland" ], [ 1, "Baden-Württemberg" ], [ 1, "Baghdad" ], [ 2, "Bahia" ], [ 2, "Baijeri" ], [ 3, "Baja California" ], [ 1, "Baki" ], [ 1, "Bali" ], [ 1, "Baluchistan" ], [ 1, "Bamako" ], [ 1, "Banaadir" ], [ 1, "Bangkok" ], [ 1, "Bangui" ], [ 1, "Baskimaa" ], [ 1, "Basra" ], [ 1, "Baškortostan" ], [ 1, "Beirut" ], [ 1, "Bengasi" ], [ 1, "Berliini" ], [ 1, "Bihar" ], [ 1, "Bishkek shaary" ], [ 1, "Blantyre" ], [ 2, "Bolívar" ], [ 1, "Bratislava" ], [ 1, "Brazzaville" ], [ 1, "Bremen" ], [ 1, "British Colombia" ], [ 1, "Brjansk" ], [ 1, "Budapest" ], [ 12, "Buenos Aires" ], [ 1, "Bukarest" ], [ 1, "Bulawayo" ], [ 1, "Burjatia" ], [ 1, "Bursa" ], [ 8, "California" ], [ 1, "Callao" ], [ 1, "Campania" ], [ 1, "Canary Islands" ], [ 2, "Cap-Vert" ], [ 1, "Carabobo" ], [ 1, "Casablanca" ], [ 1, "Ceará" ], [ 2, "Central" ], [ 2, "Central Java" ], [ 1, "Central Macedonia" ], [ 1, "Central Serbia" ], [ 1, "Central Visayas" ], [ 1, "Centre" ], [ 1, "Chandigarh" ], [ 1, "Chari-Baguirmi" ], [ 2, "Chhatisgarh" ], [ 1, "Chiapas" ], [ 4, "Chiba" ], [ 2, "Chihuahua" ], [ 1, "Chisinau" ], [ 1, "Chittagong" ], [ 1, "Chollabuk" ], [ 1, "Chongqing" ], [ 1, "Chungchongbuk" ], [ 2, "Coahuila de Zaragoza" ], [ 1, "Coast" ], [ 1, "Cochabamba" ], [ 2, "Colorado" ], [ 1, "Conakry" ], [ 1, "Constantine" ], [ 1, "Cortés" ], [ 1, "Córdoba" ], [ 1, "Damascus" ], [ 1, "Dar es Salaam" ], [ 1, "Delhi" ], [ 1, "Dhaka" ], [ 1, "District of Columbia" ], [ 1, "Distrito Central" ], [ 4, "Distrito Federal" ], [ 1, "Distrito Nacional" ], [ 1, "Diyarbakir" ], [ 1, "Djibouti" ], [ 2, "Dnipropetrovsk" ], [ 1, "Doha" ], [ 1, "Dolnoslaskie" ], [ 3, "Donetsk" ], [ 1, "Dubai" ], [ 1, "Durango" ], [ 1, "East Azerbaidzan" ], [ 2, "East Java" ], [ 1, "East Kasai" ], [ 1, "Eastern Cape" ], [ 1, "Ehime" ], [ 1, "Emilia-Romagna" ], [ 7, "England" ], [ 1, "Esfahan" ], [ 1, "Eskisehir" ], [ 1, "Estuaire" ], [ 1, "Fars" ], [ 1, "Federaatio" ], [ 2, "Florida" ], [ 2, "Fujian" ], [ 2, "Fukuoka" ], [ 1, "Fukushima" ], [ 1, "Fès-Boulemane" ], [ 1, "Gansu" ], [ 7, "Gauteng" ], [ 1, "Gaza" ], [ 1, "Gaziantep" ], [ 1, "Georgia" ], [ 1, "Gifu" ], [ 1, "Gilan" ], [ 1, "Giza" ], [ 1, "Goiás" ], [ 1, "Gomel" ], [ 1, "Grad Sofija" ], [ 1, "Grad Zagreb" ], [ 1, "Greater Accra" ], [ 3, "Guanajuato" ], [ 4, "Guangdong" ], [ 3, "Guangxi" ], [ 1, "Guatemala" ], [ 1, "Guayas" ], [ 1, "Guerrero" ], [ 2, "Guizhou" ], [ 5, "Gujarat" ], [ 1, "Habarovsk" ], [ 1, "Hainan" ], [ 1, "Haiphong" ], [ 1, "Hamadan" ], [ 1, "Hamburg" ], [ 1, "Hamgyong N" ], [ 1, "Hamgyong P" ], [ 1, "Hanoi" ], [ 1, "Harare" ], [ 1, "Harjumaa" ], [ 1, "Harkova" ], [ 1, "Haryana" ], [ 1, "Haute-Zaïre" ], [ 1, "Hawaii" ], [ 6, "Hebei" ], [ 9, "Heilongjiang" ], [ 7, "Henan" ], [ 1, "Herson" ], [ 1, "Hessen" ], [ 1, "Hims" ], [ 2, "Hiroshima" ], [ 1, "Hlavní mesto Praha" ], [ 1, "Ho Chi Minh City" ], [ 2, "Hokkaido" ], [ 1, "Hongkong" ], [ 1, "Horad Minsk" ], [ 1, "Hsinchu" ], [ 4, "Hubei" ], [ 4, "Hunan" ], [ 4, "Hyogo" ], [ 1, "Illinois" ], [ 1, "Inchon" ], [ 1, "Indiana" ], [ 3, "Inner Mongolia" ], [ 1, "Irbil" ], [ 1, "Irkutsk" ], [ 1, "Ishikawa" ], [ 1, "Islamabad" ], [ 1, "Istanbul" ], [ 1, "Ivanovo" ], [ 1, "Izmir" ], [ 1, "Içel" ], [ 1, "Jakarta Raya" ], [ 3, "Jalisco" ], [ 1, "Jambi" ], [ 1, "Jammu and Kashmir" ], [ 1, "Jaroslavl" ], [ 1, "Jerusalem" ], [ 2, "Jharkhand" ], [ 7, "Jiangsu" ], [ 2, "Jiangxi" ], [ 4, "Jilin" ], [ 1, "Jizní Morava" ], [ 1, "Kabol" ], [ 1, "Kadiogo" ], [ 1, "Kaduna" ], [ 1, "Kagoshima" ], [ 1, "Kairo" ], [ 1, "Kalimantan Barat" ], [ 1, "Kalimantan Selatan" ], [ 1, "Kalimantan Timur" ], [ 1, "Kaliningrad" ], [ 5, "Kanagawa" ], [ 1, "Kano & Jigawa" ], [ 1, "Kaohsiung" ], [ 3, "Karnataka" ], [ 1, "Karotegin" ], [ 1, "Katalonia" ], [ 1, "Kaunas" ], [ 1, "Kayseri" ], [ 1, "Keelung" ], [ 2, "Kemerovo" ], [ 3, "Kerala" ], [ 1, "Kerman" ], [ 1, "Kermanshah" ], [ 3, "Khartum" ], [ 1, "Khorasan" ], [ 1, "Khulna" ], [ 1, "Khuzestan" ], [ 1, "Kinshasa" ], [ 1, "Kiova" ], [ 1, "Kirov" ], [ 1, "Konya" ], [ 1, "Kouilou" ], [ 1, "Kowloon and New Kowl" ], [ 2, "Krasnodar" ], [ 1, "Krasnojarsk" ], [ 1, "Kujawsko-Pomorskie" ], [ 1, "Kumamoto" ], [ 1, "Kurgan" ], [ 1, "Kursk" ], [ 4, "KwaZulu-Natal" ], [ 1, "Kwangju" ], [ 1, "Kwara & Kogi" ], [ 7, "Kyonggi" ], [ 1, "Kyongsangbuk" ], [ 3, "Kyongsangnam" ], [ 1, "Kyoto" ], [ 1, "København" ], [ 1, "La Habana" ], [ 1, "La Libertad" ], [ 2, "La Paz" ], [ 1, "Lagos" ], [ 1, "Lambayeque" ], [ 1, "Lampung" ], [ 1, "Lara" ], [ 1, "Latium" ], [ 1, "Leinster" ], [ 12, "Liaoning" ], [ 1, "Liguria" ], [ 1, "Lilongwe" ], [ 1, "Lima" ], [ 1, "Lipetsk" ], [ 2, "Lisboa" ], [ 1, "Littoral" ], [ 1, "Lodzkie" ], [ 1, "Lombardia" ], [ 1, "Loreto" ], [ 1, "Louisiana" ], [ 1, "Luanda" ], [ 1, "Lubelskie" ], [ 1, "Lugansk" ], [ 1, "Lusaka" ], [ 1, "Luxor" ], [ 1, "Lviv" ], [ 1, "Macau" ], [ 5, "Madhya Pradesh" ], [ 1, "Madrid" ], [ 1, "Maekel" ], [ 1, "Magdalena" ], [ 13, "Maharashtra" ], [ 1, "Malopolskie" ], [ 1, "Managua" ], [ 1, "Mandalay" ], [ 1, "Manitoba" ], [ 2, "Maputo" ], [ 1, "Maranhão" ], [ 1, "Maritime" ], [ 1, "Markazi" ], [ 1, "Marrakech-Tensift-Al" ], [ 1, "Maryland" ], [ 1, "Massachusetts" ], [ 1, "Mato Grosso" ], [ 1, "Mato Grosso do Sul" ], [ 1, "Mazowieckie" ], [ 1, "Medina" ], [ 3, "Mekka" ], [ 1, "Meknès-Tafilalet" ], [ 1, "Michigan" ], [ 1, "Michoacán de Ocampo" ], [ 1, "Midi-Pyrénées" ], [ 4, "Minas Gerais" ], [ 1, "Minnesota" ], [ 1, "Miranda" ], [ 1, "Missouri" ], [ 1, "Miyagi" ], [ 1, "Mogiljov" ], [ 1, "Montevideo" ], [ 1, "Montserrado" ], [ 1, "Moscow (City)" ], [ 1, "Murcia" ], [ 1, "Murmansk" ], [ 1, "Mykolajiv" ], [ 9, "México" ], [ 1, "Nagano" ], [ 1, "Nagasaki" ], [ 1, "Nairobi" ], [ 1, "Namangan" ], [ 1, "Nampo-si" ], [ 1, "Nara" ], [ 12, "National Capital Reg" ], [ 1, "Nebraska" ], [ 1, "Nevada" ], [ 1, "New Mexico" ], [ 1, "New South Wales" ], [ 1, "New York" ], [ 1, "Newmaa" ], [ 1, "Niamey" ], [ 1, "Niedersachsen" ], [ 1, "Niigata" ], [ 1, "Ninawa" ], [ 1, "Ningxia" ], [ 1, "Nizni Novgorod" ], [ 1, "Noord-Holland" ], [ 7, "Nordrhein-Westfalen" ], [ 1, "Norte de Santander" ], [ 1, "North Carolina" ], [ 1, "Northern Mindanao" ], [ 1, "Nothwest Border Prov" ], [ 1, "Nouakchott" ], [ 1, "Novosibirsk" ], [ 3, "Nuevo León" ], [ 1, "Odesa" ], [ 1, "Ogun" ], [ 2, "Ohio" ], [ 1, "Oita" ], [ 2, "Okayama" ], [ 2, "Oklahoma" ], [ 1, "Omsk" ], [ 1, "Ondo & Ekiti" ], [ 4, "Ontario" ], [ 1, "Oran" ], [ 1, "Oregon" ], [ 1, "Orenburg" ], [ 1, "Oriental" ], [ 2, "Orissa" ], [ 6, "Osaka" ], [ 1, "Oslo" ], [ 1, "Ouest" ], [ 5, "Oyo & Osun" ], [ 1, "Panamá" ], [ 2, "Paraná" ], [ 2, "Paraíba" ], [ 2, "Pará" ], [ 1, "Peking" ], [ 1, "Pennsylvania" ], [ 1, "Penza" ], [ 1, "Perak" ], [ 1, "Perm" ], [ 3, "Pernambuco" ], [ 1, "Phnom Penh" ], [ 1, "Piauí" ], [ 1, "Pichincha" ], [ 1, "Piemonte" ], [ 1, "Pietari" ], [ 1, "Pomorskie" ], [ 1, "Port Said" ], [ 1, "Primorje" ], [ 1, "Provence-Alpes-Côte" ], [ 1, "Puebla" ], [ 11, "Punjab" ], [ 1, "Pusan" ], [ 1, "Pyongyang-si" ], [ 1, "Qaraghandy" ], [ 1, "Qinghai" ], [ 1, "Qom" ], [ 1, "Quang Nam-Da Nang" ], [ 1, "Queensland" ], [ 1, "Querétaro de Arteaga" ], [ 1, "Quintana Roo" ], [ 1, "Québec" ], [ 2, "Rabat-Salé-Zammour-Z" ], [ 5, "Rajasthan" ], [ 1, "Rangoon [Yangon]" ], [ 1, "Rhône-Alpes" ], [ 1, "Riau" ], [ 1, "Riika" ], [ 1, "Rio Grande do Norte" ], [ 1, "Rio Grande do Sul" ], [ 8, "Rio de Janeiro" ], [ 1, "Risaralda" ], [ 1, "Rivers & Bayelsa" ], [ 1, "Riyadh" ], [ 1, "Rjazan" ], [ 1, "Rostov-na-Donu" ], [ 3, "Saitama" ], [ 2, "Saksi" ], [ 1, "Salta" ], [ 2, "Samara" ], [ 1, "Samarkand" ], [ 1, "San Juan" ], [ 1, "San Luis Potosí" ], [ 1, "San Salvador" ], [ 1, "Sanaa" ], [ 1, "Sanliurfa" ], [ 1, "Santa Catarina" ], [ 1, "Santa Cruz" ], [ 2, "Santa Fé" ], [ 1, "Santafé de Bogotá" ], [ 1, "Santander" ], [ 3, "Santiago" ], [ 1, "Santiago de Cuba" ], [ 1, "Saratov" ], [ 2, "Scotland" ], [ 1, "Seoul" ], [ 1, "Sergipe" ], [ 2, "Shaanxi" ], [ 2, "Shaba" ], [ 7, "Shandong" ], [ 1, "Shanghai" ], [ 3, "Shanxi" ], [ 2, "Shizuoka" ], [ 3, "Sichuan" ], [ 3, "Sinaloa" ], [ 2, "Sindh" ], [ 1, "Sisilia" ], [ 1, "Sistan va Baluchesta" ], [ 1, "Skopje" ], [ 1, "Smolensk" ], [ 1, "Sofala" ], [ 2, "Sonora" ], [ 1, "South Australia" ], [ 1, "South Kazakstan" ], [ 2, "Southern Mindanao" ], [ 2, "Southern Tagalog" ], [ 1, "Suez" ], [ 1, "Sulawesi Selatan" ], [ 1, "Sumatera Barat" ], [ 1, "Sumatera Selatan" ], [ 1, "Sumatera Utara" ], [ 2, "Sverdlovsk" ], [ 13, "São Paulo" ], [ 1, "Tabasco" ], [ 1, "Taegu" ], [ 1, "Taejon" ], [ 1, "Taichung" ], [ 1, "Tainan" ], [ 5, "Taipei" ], [ 2, "Tamaulipas" ], [ 5, "Tamil Nadu" ], [ 1, "Tanger-Tétouan" ], [ 2, "Tatarstan" ], [ 1, "Tbilisi" ], [ 2, "Teheran" ], [ 2, "Tennessee" ], [ 6, "Texas" ], [ 1, "Tianjin" ], [ 1, "Tjumen" ], [ 1, "Tochigi" ], [ 3, "Tokyo-to" ], [ 1, "Tolima" ], [ 1, "Tomsk" ], [ 1, "Toscana" ], [ 1, "Toskent Shahri" ], [ 1, "Tripoli" ], [ 1, "Tucumán" ], [ 1, "Tula" ], [ 1, "Tunis" ], [ 1, "Tver" ], [ 2, "Tšeljabinsk" ], [ 1, "Tšuvassia" ], [ 1, "Udmurtia" ], [ 1, "Ulaanbaatar" ], [ 1, "Uljanovsk" ], [ 12, "Uttar Pradesh" ], [ 1, "Valencia" ], [ 1, "Valle" ], [ 2, "Veracruz" ], [ 1, "Viangchan" ], [ 1, "Victoria" ], [ 1, "Vilna" ], [ 1, "Vinnytsja" ], [ 1, "Virginia" ], [ 1, "Volgograd" ], [ 1, "Voronez" ], [ 1, "Wakayama" ], [ 1, "Washington" ], [ 1, "West Australia" ], [ 1, "West Azerbaidzan" ], [ 3, "West Bengali" ], [ 1, "West Götanmaan län" ], [ 4, "West Java" ], [ 1, "West Kasai" ], [ 2, "Western" ], [ 1, "Western Cape" ], [ 1, "Western Mindanao" ], [ 2, "Western Visayas" ], [ 1, "Wielkopolskie" ], [ 1, "Wien" ], [ 1, "Wilayah Persekutuan" ], [ 1, "Wisconsin" ], [ 1, "Xinxiang" ], [ 1, "Yerevan" ], [ 1, "Yogyakarta" ], [ 1, "Yucatán" ], [ 1, "Yunnan" ], [ 1, "Zachodnio-Pomorskie" ], [ 1, "Zaporizzja" ], [ 3, "Zhejiang" ], [ 2, "Zuid-Holland" ], [ 1, "Zulia" ], [ 1, "al-Daqahliya" ], [ 2, "al-Gharbiya" ], [ 1, "al-Qalyubiya" ], [ 1, "al-Sharqiya" ], [ 1, "al-Sulaymaniya" ], [ 1, "al-Tamim" ], [ 1, "al-Zarqa" ], [ 1, "Île-de-France" ], [ 1, "–" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "city" ], "split": "eval", "question_id": "world_1_eval_088" }, { "question_text": "How many cities in each district have a population that is above the average population across all cities?", "database_name": "world_1", "gold_sql": "SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District", "gold_answer": [ [ 1, "Abidjan" ], [ 1, "Abu Dhabi" ], [ 1, "Adana" ], [ 1, "Addis Abeba" ], [ 1, "Aden" ], [ 1, "Aguascalientes" ], [ 1, "Ahal" ], [ 2, "Aichi" ], [ 1, "Alagoas" ], [ 2, "Alberta" ], [ 1, "Aleksandria" ], [ 1, "Aleppo" ], [ 1, "Alger" ], [ 1, "Almaty Qalasy" ], [ 1, "Altai" ], [ 1, "Amazonas" ], [ 1, "Amman" ], [ 1, "Anambra & Enugu & Eb" ], [ 2, "Andalusia" ], [ 5, "Andhra Pradesh" ], [ 5, "Anhui" ], [ 1, "Ankara" ], [ 1, "Antalya" ], [ 1, "Antananarivo" ], [ 1, "Antioquia" ], [ 1, "Antwerpen" ], [ 1, "Aragonia" ], [ 1, "Aragua" ], [ 1, "Arequipa" ], [ 3, "Arizona" ], [ 1, "Arkangeli" ], [ 1, "Ashanti" ], [ 1, "Assam" ], [ 1, "Astrahan" ], [ 1, "Asunción" ], [ 1, "Atlantique" ], [ 1, "Atlántico" ], [ 1, "Attika" ], [ 1, "Auckland" ], [ 1, "Baden-Württemberg" ], [ 1, "Baghdad" ], [ 2, "Bahia" ], [ 2, "Baijeri" ], [ 3, "Baja California" ], [ 1, "Baki" ], [ 1, "Bali" ], [ 1, "Baluchistan" ], [ 1, "Bamako" ], [ 1, "Banaadir" ], [ 1, "Bangkok" ], [ 1, "Bangui" ], [ 1, "Baskimaa" ], [ 1, "Basra" ], [ 1, "Baškortostan" ], [ 1, "Beirut" ], [ 1, "Bengasi" ], [ 1, "Berliini" ], [ 1, "Bihar" ], [ 1, "Bishkek shaary" ], [ 1, "Blantyre" ], [ 2, "Bolívar" ], [ 1, "Bratislava" ], [ 1, "Brazzaville" ], [ 1, "Bremen" ], [ 1, "British Colombia" ], [ 1, "Brjansk" ], [ 1, "Budapest" ], [ 12, "Buenos Aires" ], [ 1, "Bukarest" ], [ 1, "Bulawayo" ], [ 1, "Burjatia" ], [ 1, "Bursa" ], [ 8, "California" ], [ 1, "Callao" ], [ 1, "Campania" ], [ 1, "Canary Islands" ], [ 2, "Cap-Vert" ], [ 1, "Carabobo" ], [ 1, "Casablanca" ], [ 1, "Ceará" ], [ 2, "Central" ], [ 2, "Central Java" ], [ 1, "Central Macedonia" ], [ 1, "Central Serbia" ], [ 1, "Central Visayas" ], [ 1, "Centre" ], [ 1, "Chandigarh" ], [ 1, "Chari-Baguirmi" ], [ 2, "Chhatisgarh" ], [ 1, "Chiapas" ], [ 4, "Chiba" ], [ 2, "Chihuahua" ], [ 1, "Chisinau" ], [ 1, "Chittagong" ], [ 1, "Chollabuk" ], [ 1, "Chongqing" ], [ 1, "Chungchongbuk" ], [ 2, "Coahuila de Zaragoza" ], [ 1, "Coast" ], [ 1, "Cochabamba" ], [ 2, "Colorado" ], [ 1, "Conakry" ], [ 1, "Constantine" ], [ 1, "Cortés" ], [ 1, "Córdoba" ], [ 1, "Damascus" ], [ 1, "Dar es Salaam" ], [ 1, "Delhi" ], [ 1, "Dhaka" ], [ 1, "District of Columbia" ], [ 1, "Distrito Central" ], [ 4, "Distrito Federal" ], [ 1, "Distrito Nacional" ], [ 1, "Diyarbakir" ], [ 1, "Djibouti" ], [ 2, "Dnipropetrovsk" ], [ 1, "Doha" ], [ 1, "Dolnoslaskie" ], [ 3, "Donetsk" ], [ 1, "Dubai" ], [ 1, "Durango" ], [ 1, "East Azerbaidzan" ], [ 2, "East Java" ], [ 1, "East Kasai" ], [ 1, "Eastern Cape" ], [ 1, "Ehime" ], [ 1, "Emilia-Romagna" ], [ 7, "England" ], [ 1, "Esfahan" ], [ 1, "Eskisehir" ], [ 1, "Estuaire" ], [ 1, "Fars" ], [ 1, "Federaatio" ], [ 2, "Florida" ], [ 2, "Fujian" ], [ 2, "Fukuoka" ], [ 1, "Fukushima" ], [ 1, "Fès-Boulemane" ], [ 1, "Gansu" ], [ 7, "Gauteng" ], [ 1, "Gaza" ], [ 1, "Gaziantep" ], [ 1, "Georgia" ], [ 1, "Gifu" ], [ 1, "Gilan" ], [ 1, "Giza" ], [ 1, "Goiás" ], [ 1, "Gomel" ], [ 1, "Grad Sofija" ], [ 1, "Grad Zagreb" ], [ 1, "Greater Accra" ], [ 3, "Guanajuato" ], [ 4, "Guangdong" ], [ 3, "Guangxi" ], [ 1, "Guatemala" ], [ 1, "Guayas" ], [ 1, "Guerrero" ], [ 2, "Guizhou" ], [ 5, "Gujarat" ], [ 1, "Habarovsk" ], [ 1, "Hainan" ], [ 1, "Haiphong" ], [ 1, "Hamadan" ], [ 1, "Hamburg" ], [ 1, "Hamgyong N" ], [ 1, "Hamgyong P" ], [ 1, "Hanoi" ], [ 1, "Harare" ], [ 1, "Harjumaa" ], [ 1, "Harkova" ], [ 1, "Haryana" ], [ 1, "Haute-Zaïre" ], [ 1, "Hawaii" ], [ 6, "Hebei" ], [ 9, "Heilongjiang" ], [ 7, "Henan" ], [ 1, "Herson" ], [ 1, "Hessen" ], [ 1, "Hims" ], [ 2, "Hiroshima" ], [ 1, "Hlavní mesto Praha" ], [ 1, "Ho Chi Minh City" ], [ 2, "Hokkaido" ], [ 1, "Hongkong" ], [ 1, "Horad Minsk" ], [ 1, "Hsinchu" ], [ 4, "Hubei" ], [ 4, "Hunan" ], [ 4, "Hyogo" ], [ 1, "Illinois" ], [ 1, "Inchon" ], [ 1, "Indiana" ], [ 3, "Inner Mongolia" ], [ 1, "Irbil" ], [ 1, "Irkutsk" ], [ 1, "Ishikawa" ], [ 1, "Islamabad" ], [ 1, "Istanbul" ], [ 1, "Ivanovo" ], [ 1, "Izmir" ], [ 1, "Içel" ], [ 1, "Jakarta Raya" ], [ 3, "Jalisco" ], [ 1, "Jambi" ], [ 1, "Jammu and Kashmir" ], [ 1, "Jaroslavl" ], [ 1, "Jerusalem" ], [ 2, "Jharkhand" ], [ 7, "Jiangsu" ], [ 2, "Jiangxi" ], [ 4, "Jilin" ], [ 1, "Jizní Morava" ], [ 1, "Kabol" ], [ 1, "Kadiogo" ], [ 1, "Kaduna" ], [ 1, "Kagoshima" ], [ 1, "Kairo" ], [ 1, "Kalimantan Barat" ], [ 1, "Kalimantan Selatan" ], [ 1, "Kalimantan Timur" ], [ 1, "Kaliningrad" ], [ 5, "Kanagawa" ], [ 1, "Kano & Jigawa" ], [ 1, "Kaohsiung" ], [ 3, "Karnataka" ], [ 1, "Karotegin" ], [ 1, "Katalonia" ], [ 1, "Kaunas" ], [ 1, "Kayseri" ], [ 1, "Keelung" ], [ 2, "Kemerovo" ], [ 3, "Kerala" ], [ 1, "Kerman" ], [ 1, "Kermanshah" ], [ 3, "Khartum" ], [ 1, "Khorasan" ], [ 1, "Khulna" ], [ 1, "Khuzestan" ], [ 1, "Kinshasa" ], [ 1, "Kiova" ], [ 1, "Kirov" ], [ 1, "Konya" ], [ 1, "Kouilou" ], [ 1, "Kowloon and New Kowl" ], [ 2, "Krasnodar" ], [ 1, "Krasnojarsk" ], [ 1, "Kujawsko-Pomorskie" ], [ 1, "Kumamoto" ], [ 1, "Kurgan" ], [ 1, "Kursk" ], [ 4, "KwaZulu-Natal" ], [ 1, "Kwangju" ], [ 1, "Kwara & Kogi" ], [ 7, "Kyonggi" ], [ 1, "Kyongsangbuk" ], [ 3, "Kyongsangnam" ], [ 1, "Kyoto" ], [ 1, "København" ], [ 1, "La Habana" ], [ 1, "La Libertad" ], [ 2, "La Paz" ], [ 1, "Lagos" ], [ 1, "Lambayeque" ], [ 1, "Lampung" ], [ 1, "Lara" ], [ 1, "Latium" ], [ 1, "Leinster" ], [ 12, "Liaoning" ], [ 1, "Liguria" ], [ 1, "Lilongwe" ], [ 1, "Lima" ], [ 1, "Lipetsk" ], [ 2, "Lisboa" ], [ 1, "Littoral" ], [ 1, "Lodzkie" ], [ 1, "Lombardia" ], [ 1, "Loreto" ], [ 1, "Louisiana" ], [ 1, "Luanda" ], [ 1, "Lubelskie" ], [ 1, "Lugansk" ], [ 1, "Lusaka" ], [ 1, "Luxor" ], [ 1, "Lviv" ], [ 1, "Macau" ], [ 5, "Madhya Pradesh" ], [ 1, "Madrid" ], [ 1, "Maekel" ], [ 1, "Magdalena" ], [ 13, "Maharashtra" ], [ 1, "Malopolskie" ], [ 1, "Managua" ], [ 1, "Mandalay" ], [ 1, "Manitoba" ], [ 2, "Maputo" ], [ 1, "Maranhão" ], [ 1, "Maritime" ], [ 1, "Markazi" ], [ 1, "Marrakech-Tensift-Al" ], [ 1, "Maryland" ], [ 1, "Massachusetts" ], [ 1, "Mato Grosso" ], [ 1, "Mato Grosso do Sul" ], [ 1, "Mazowieckie" ], [ 1, "Medina" ], [ 3, "Mekka" ], [ 1, "Meknès-Tafilalet" ], [ 1, "Michigan" ], [ 1, "Michoacán de Ocampo" ], [ 1, "Midi-Pyrénées" ], [ 4, "Minas Gerais" ], [ 1, "Minnesota" ], [ 1, "Miranda" ], [ 1, "Missouri" ], [ 1, "Miyagi" ], [ 1, "Mogiljov" ], [ 1, "Montevideo" ], [ 1, "Montserrado" ], [ 1, "Moscow (City)" ], [ 1, "Murcia" ], [ 1, "Murmansk" ], [ 1, "Mykolajiv" ], [ 9, "México" ], [ 1, "Nagano" ], [ 1, "Nagasaki" ], [ 1, "Nairobi" ], [ 1, "Namangan" ], [ 1, "Nampo-si" ], [ 1, "Nara" ], [ 12, "National Capital Reg" ], [ 1, "Nebraska" ], [ 1, "Nevada" ], [ 1, "New Mexico" ], [ 1, "New South Wales" ], [ 1, "New York" ], [ 1, "Newmaa" ], [ 1, "Niamey" ], [ 1, "Niedersachsen" ], [ 1, "Niigata" ], [ 1, "Ninawa" ], [ 1, "Ningxia" ], [ 1, "Nizni Novgorod" ], [ 1, "Noord-Holland" ], [ 7, "Nordrhein-Westfalen" ], [ 1, "Norte de Santander" ], [ 1, "North Carolina" ], [ 1, "Northern Mindanao" ], [ 1, "Nothwest Border Prov" ], [ 1, "Nouakchott" ], [ 1, "Novosibirsk" ], [ 3, "Nuevo León" ], [ 1, "Odesa" ], [ 1, "Ogun" ], [ 2, "Ohio" ], [ 1, "Oita" ], [ 2, "Okayama" ], [ 2, "Oklahoma" ], [ 1, "Omsk" ], [ 1, "Ondo & Ekiti" ], [ 4, "Ontario" ], [ 1, "Oran" ], [ 1, "Oregon" ], [ 1, "Orenburg" ], [ 1, "Oriental" ], [ 2, "Orissa" ], [ 6, "Osaka" ], [ 1, "Oslo" ], [ 1, "Ouest" ], [ 5, "Oyo & Osun" ], [ 1, "Panamá" ], [ 2, "Paraná" ], [ 2, "Paraíba" ], [ 2, "Pará" ], [ 1, "Peking" ], [ 1, "Pennsylvania" ], [ 1, "Penza" ], [ 1, "Perak" ], [ 1, "Perm" ], [ 3, "Pernambuco" ], [ 1, "Phnom Penh" ], [ 1, "Piauí" ], [ 1, "Pichincha" ], [ 1, "Piemonte" ], [ 1, "Pietari" ], [ 1, "Pomorskie" ], [ 1, "Port Said" ], [ 1, "Primorje" ], [ 1, "Provence-Alpes-Côte" ], [ 1, "Puebla" ], [ 11, "Punjab" ], [ 1, "Pusan" ], [ 1, "Pyongyang-si" ], [ 1, "Qaraghandy" ], [ 1, "Qinghai" ], [ 1, "Qom" ], [ 1, "Quang Nam-Da Nang" ], [ 1, "Queensland" ], [ 1, "Querétaro de Arteaga" ], [ 1, "Quintana Roo" ], [ 1, "Québec" ], [ 2, "Rabat-Salé-Zammour-Z" ], [ 5, "Rajasthan" ], [ 1, "Rangoon [Yangon]" ], [ 1, "Rhône-Alpes" ], [ 1, "Riau" ], [ 1, "Riika" ], [ 1, "Rio Grande do Norte" ], [ 1, "Rio Grande do Sul" ], [ 8, "Rio de Janeiro" ], [ 1, "Risaralda" ], [ 1, "Rivers & Bayelsa" ], [ 1, "Riyadh" ], [ 1, "Rjazan" ], [ 1, "Rostov-na-Donu" ], [ 3, "Saitama" ], [ 2, "Saksi" ], [ 1, "Salta" ], [ 2, "Samara" ], [ 1, "Samarkand" ], [ 1, "San Juan" ], [ 1, "San Luis Potosí" ], [ 1, "San Salvador" ], [ 1, "Sanaa" ], [ 1, "Sanliurfa" ], [ 1, "Santa Catarina" ], [ 1, "Santa Cruz" ], [ 2, "Santa Fé" ], [ 1, "Santafé de Bogotá" ], [ 1, "Santander" ], [ 3, "Santiago" ], [ 1, "Santiago de Cuba" ], [ 1, "Saratov" ], [ 2, "Scotland" ], [ 1, "Seoul" ], [ 1, "Sergipe" ], [ 2, "Shaanxi" ], [ 2, "Shaba" ], [ 7, "Shandong" ], [ 1, "Shanghai" ], [ 3, "Shanxi" ], [ 2, "Shizuoka" ], [ 3, "Sichuan" ], [ 3, "Sinaloa" ], [ 2, "Sindh" ], [ 1, "Sisilia" ], [ 1, "Sistan va Baluchesta" ], [ 1, "Skopje" ], [ 1, "Smolensk" ], [ 1, "Sofala" ], [ 2, "Sonora" ], [ 1, "South Australia" ], [ 1, "South Kazakstan" ], [ 2, "Southern Mindanao" ], [ 2, "Southern Tagalog" ], [ 1, "Suez" ], [ 1, "Sulawesi Selatan" ], [ 1, "Sumatera Barat" ], [ 1, "Sumatera Selatan" ], [ 1, "Sumatera Utara" ], [ 2, "Sverdlovsk" ], [ 13, "São Paulo" ], [ 1, "Tabasco" ], [ 1, "Taegu" ], [ 1, "Taejon" ], [ 1, "Taichung" ], [ 1, "Tainan" ], [ 5, "Taipei" ], [ 2, "Tamaulipas" ], [ 5, "Tamil Nadu" ], [ 1, "Tanger-Tétouan" ], [ 2, "Tatarstan" ], [ 1, "Tbilisi" ], [ 2, "Teheran" ], [ 2, "Tennessee" ], [ 6, "Texas" ], [ 1, "Tianjin" ], [ 1, "Tjumen" ], [ 1, "Tochigi" ], [ 3, "Tokyo-to" ], [ 1, "Tolima" ], [ 1, "Tomsk" ], [ 1, "Toscana" ], [ 1, "Toskent Shahri" ], [ 1, "Tripoli" ], [ 1, "Tucumán" ], [ 1, "Tula" ], [ 1, "Tunis" ], [ 1, "Tver" ], [ 2, "Tšeljabinsk" ], [ 1, "Tšuvassia" ], [ 1, "Udmurtia" ], [ 1, "Ulaanbaatar" ], [ 1, "Uljanovsk" ], [ 12, "Uttar Pradesh" ], [ 1, "Valencia" ], [ 1, "Valle" ], [ 2, "Veracruz" ], [ 1, "Viangchan" ], [ 1, "Victoria" ], [ 1, "Vilna" ], [ 1, "Vinnytsja" ], [ 1, "Virginia" ], [ 1, "Volgograd" ], [ 1, "Voronez" ], [ 1, "Wakayama" ], [ 1, "Washington" ], [ 1, "West Australia" ], [ 1, "West Azerbaidzan" ], [ 3, "West Bengali" ], [ 1, "West Götanmaan län" ], [ 4, "West Java" ], [ 1, "West Kasai" ], [ 2, "Western" ], [ 1, "Western Cape" ], [ 1, "Western Mindanao" ], [ 2, "Western Visayas" ], [ 1, "Wielkopolskie" ], [ 1, "Wien" ], [ 1, "Wilayah Persekutuan" ], [ 1, "Wisconsin" ], [ 1, "Xinxiang" ], [ 1, "Yerevan" ], [ 1, "Yogyakarta" ], [ 1, "Yucatán" ], [ 1, "Yunnan" ], [ 1, "Zachodnio-Pomorskie" ], [ 1, "Zaporizzja" ], [ 3, "Zhejiang" ], [ 2, "Zuid-Holland" ], [ 1, "Zulia" ], [ 1, "al-Daqahliya" ], [ 2, "al-Gharbiya" ], [ 1, "al-Qalyubiya" ], [ 1, "al-Sharqiya" ], [ 1, "al-Sulaymaniya" ], [ 1, "al-Tamim" ], [ 1, "al-Zarqa" ], [ 1, "Île-de-France" ], [ 1, "–" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "city" ], "split": "eval", "question_id": "world_1_eval_089" }, { "question_text": "How many countries have a republic as their form of government?", "database_name": "world_1", "gold_sql": "SELECT count(*) FROM country WHERE GovernmentForm = \"Republic\"", "gold_answer": 122, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_090" }, { "question_text": "How many countries have governments that are republics?", "database_name": "world_1", "gold_sql": "SELECT count(*) FROM country WHERE GovernmentForm = \"Republic\"", "gold_answer": 122, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_091" }, { "question_text": "Count the number of countries in Asia.", "database_name": "world_1", "gold_sql": "SELECT count(*) FROM country WHERE continent = \"Asia\"", "gold_answer": 51, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_092" }, { "question_text": "how many countries are in Asia?", "database_name": "world_1", "gold_sql": "SELECT count(*) FROM country WHERE continent = \"Asia\"", "gold_answer": 51, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_093" }, { "question_text": "How many different forms of governments are there in Africa?", "database_name": "world_1", "gold_sql": "SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = \"Africa\"", "gold_answer": 10, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_094" }, { "question_text": "How many type of governments are in Africa?", "database_name": "world_1", "gold_sql": "SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = \"Africa\"", "gold_answer": 10, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_095" }, { "question_text": "How many unique languages are spoken in the world?", "database_name": "world_1", "gold_sql": "SELECT count(DISTINCT LANGUAGE) FROM countrylanguage", "gold_answer": 457, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_096" }, { "question_text": "What is the number of distinct languages used around the world?", "database_name": "world_1", "gold_sql": "SELECT count(DISTINCT LANGUAGE) FROM countrylanguage", "gold_answer": 457, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_097" }, { "question_text": "For the countries founded before 1930, what is the total number of distinct official languages?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": 40, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_098" }, { "question_text": "What is the total number of unique official languages spoken in the countries that are founded before 1930?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": 40, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_099" }, { "question_text": "What are the cities whose population is between 160000 and 900000?", "database_name": "world_1", "gold_sql": "SELECT name FROM city WHERE Population BETWEEN 160000 AND 900000", "gold_answer": [ "Qandahar", "Herat", "Amsterdam", "Rotterdam", "Haag", "Utrecht", "Eindhoven", "Tilburg", "Groningen", "Breda", "Tirana", "Oran", "Constantine", "Annaba", "Batna", "Sétif", "Huambo", "Dubai", "Abu Dhabi", "Sharja", "al-Ayn", "Lomas de Zamora", "Quilmes", "Almirante Brown", "La Plata", "Mar del Plata", "San Miguel de Tucumán", "Lanús", "Merlo", "General San Martín", "Salta", "Moreno", "Santa Fé", "Avellaneda", "Tres de Febrero", "Morón", "Florencio Varela", "San Isidro", "Tigre", "Malvinas Argentinas", "Vicente López", "Berazategui", "Corrientes", "San Miguel", "Bahía Blanca", "Esteban Echeverría", "Resistencia", "José C. Paz", "Paraná", "Godoy Cruz", "Posadas", "Guaymallén", "Santiago del Estero", "San Salvador de Jujuy", "Hurlingham", "Neuquén", "Gjumri", "Vanadzor", "Canberra", "Gold Coast", "Newcastle", "Central Coast", "Wollongong", "Gäncä", "Sumqayit", "Nassau", "Khulna", "Rajshahi", "Narayanganj", "Rangpur", "Mymensingh", "Barisal", "Tungi", "Antwerpen", "Gent", "Charleroi", "Liège", "Cotonou", "Porto-Novo", "La Paz", "El Alto", "Cochabamba", "Oruro", "Sucre", "Sarajevo", "Gaborone", "São Gonçalo", "Nova Iguaçu", "São Luís", "Maceió", "Duque de Caxias", "São Bernardo do Campo", "Teresina", "Natal", "Osasco", "Campo Grande", "Santo André", "João Pessoa", "Jaboatão dos Guararapes", "Contagem", "São José dos Campos", "Uberlândia", "Feira de Santana", "Ribeirão Preto", "Sorocaba", "Niterói", "Cuiabá", "Juiz de Fora", "Aracaju", "São João de Meriti", "Londrina", "Joinville", "Belford Roxo", "Santos", "Ananindeua", "Campos dos Goytacazes", "Mauá", "Carapicuíba", "Olinda", "Campina Grande", "São José do Rio Preto", "Caxias do Sul", "Moji das Cruzes", "Diadema", "Aparecida de Goiânia", "Piracicaba", "Cariacica", "Vila Velha", "Pelotas", "Bauru", "Porto Velho", "Serra", "Betim", "Jundíaí", "Canoas", "Franca", "São Vicente", "Maringá", "Montes Claros", "Anápolis", "Florianópolis", "Petrópolis", "Itaquaquecetuba", "Vitória", "Ponta Grossa", "Rio Branco", "Foz do Iguaçu", "Macapá", "Ilhéus", "Vitória da Conquista", "Uberaba", "Paulista", "Limeira", "Blumenau", "Caruaru", "Santarém", "Volta Redonda", "Novo Hamburgo", "Caucaia", "Santa Maria", "Cascavel", "Guarujá", "Ribeirão das Neves", "Governador Valadares", "Taubaté", "Imperatriz", "Gravataí", "Embu", "Mossoró", "Várzea Grande", "Petrolina", "Barueri", "Viamão", "Ipatinga", "Juazeiro", "Juazeiro do Norte", "Taboão da Serra", "São José dos Pinhais", "Magé", "Suzano", "São Leopoldo", "Marília", "São Carlos", "Sumaré", "Presidente Prudente", "Divinópolis", "Sete Lagoas", "Rio Grande", "Itabuna", "Jequié", "Arapiraca", "Colombo", "Americana", "Alvorada", "Araraquara", "Itaboraí", "Santa Bárbara d´Oeste", "Nova Friburgo", "Jacareí", "Araçatuba", "Barra Mansa", "Praia Grande", "Marabá", "Criciúma", "Boa Vista", "Passo Fundo", "Dourados", "Santa Luzia", "Rio Claro", "Maracanaú", "Guarapuava", "Glasgow", "Liverpool", "Edinburgh", "Sheffield", "Manchester", "Leeds", "Bristol", "Cardiff", "Coventry", "Leicester", "Bradford", "Belfast", "Nottingham", "Kingston upon Hull", "Plymouth", "Stoke-on-Trent", "Wolverhampton", "Derby", "Swansea", "Southampton", "Aberdeen", "Northampton", "Dudley", "Portsmouth", "Newcastle upon Tyne", "Sunderland", "Luton", "Swindon", "Southend-on-Sea", "Walsall", "Bournemouth", "Plovdiv", "Varna", "Burgas", "Ruse", "Ouagadougou", "Bobo-Dioulasso", "Bujumbura", "Puente Alto", "Viña del Mar", "Valparaíso", "Talcahuano", "Antofagasta", "San Bernardo", "Temuco", "Concepción", "Rancagua", "Arica", "Talca", "Chillán", "Iquique", "San José", "Djibouti", "Santiago de los Caballeros", "Cuenca", "Machala", "Santo Domingo de los Colorados", "Portoviejo", "Ambato", "Manta", "Shubra al-Khayma", "Port Said", "Suez", "al-Mahallat al-Kubra", "Tanta", "al-Mansura", "Luxor", "Asyut", "Bahtim", "Zagazig", "al-Faiyum", "Ismailia", "Kafr al-Dawwar", "Assuan", "Damanhur", "al-Minya", "Bani Suwayf", "Qina", "Sawhaj", "San Salvador", "Asmara", "Valencia", "Sevilla", "Zaragoza", "Málaga", "Bilbao", "Las Palmas de Gran Canaria", "Murcia", "Palma de Mallorca", "Valladolid", "Córdoba", "Vigo", "Alicante [Alacant]", "Gijón", "L´Hospitalet de Llobregat", "Granada", "A Coruña (La Coruña)", "Vitoria-Gasteiz", "Santa Cruz de Tenerife", "Badalona", "Oviedo", "Móstoles", "Elche [Elx]", "Sabadell", "Santander", "Jerez de la Frontera", "Pamplona [Iruña]", "Donostia-San Sebastián", "Cartagena", "Leganés", "Fuenlabrada", "Almería", "Terrassa", "Alcalá de Henares", "Burgos", "Johannesburg", "Port Elizabeth", "Pretoria", "Inanda", "Durban", "Vanderbijlpark", "Kempton Park", "Alberton", "Pinetown", "Pietermaritzburg", "Benoni", "Randburg", "Umlazi", "Bloemfontein", "Vereeniging", "Wonderboom", "Roodepoort", "Boksburg", "Klerksdorp", "Soshanguve", "Newcastle", "East London", "Welkom", "Kimberley", "Uitenhage", "Chatsworth", "Mdantsane", "Krugersdorp", "Botshabelo", "Brakpan", "Witbank", "Oberholzer", "Germiston", "Springs", "Dire Dawa", "Cebu", "Zamboanga", "Pasig", "Valenzuela", "Las Piñas", "Antipolo", "Taguig", "Cagayan de Oro", "Parañaque", "Makati", "Bacolod", "General Santos", "Marikina", "Dasmariñas", "Muntinlupa", "Iloilo", "Pasay", "Malabon", "San José del Monte", "Bacoor", "Iligan", "Calamba", "Mandaluyong", "Butuan", "Angeles", "Tarlac", "Mandaue", "Baguio", "Batangas", "Cainta", "San Pedro", "Navotas", "Cabanatuan", "San Fernando", "Lipa", "Lapu-Lapu", "San Pablo", "Biñan", "Taytay", "Lucena", "Imus", "Olongapo", "Binangonan", "Santa Rosa", "Tagum", "Tacloban", "Malolos", "Mabalacat", "Cotabato", "Meycauayan", "Puerto Princesa", "Libreville", "Kutaisi", "Kumasi", "Ciudad de Guatemala", "Mixco", "Bissau", "Georgetown", "Port-au-Prince", "Carrefour", "Delmas", "Tegucigalpa", "San Pedro Sula", "Malang", "Bandar Lampung", "Bekasi", "Padang", "Surakarta", "Banjarmasin", "Pekan Baru", "Denpasar", "Yogyakarta", "Pontianak", "Samarinda", "Jambi", "Depok", "Cimahi", "Balikpapan", "Manado", "Mataram", "Pekalongan", "Tegal", "Bogor", "Ciputat", "Pondokgede", "Cirebon", "Kediri", "Ambon", "Jember", "Cilacap", "Cimanggis", "Pematang Siantar", "Purwokerto", "Ciomas", "Tasikmalaya", "Madiun", "Srinagar", "Agra", "Coimbatore", "Thane (Thana)", "Allahabad", "Meerut", "Vishakhapatnam", "Jabalpur", "Amritsar", "Faridabad", "Vijayawada", "Gwalior", "Jodhpur", "Nashik (Nasik)", "Hubli-Dharwad", "Solapur (Sholapur)", "Ranchi", "Bareilly", "Guwahati (Gauhati)", "Shambajinagar (Aurangabad)", "Cochin (Kochi)", "Rajkot", "Kota", "Thiruvananthapuram (Trivandrum", "Pimpri-Chinchwad", "Jalandhar (Jullundur)", "Gorakhpur", "Chandigarh", "Mysore", "Aligarh", "Guntur", "Jamshedpur", "Ghaziabad", "Warangal", "Raipur", "Moradabad", "Durgapur", "Amravati", "Calicut (Kozhikode)", "Bikaner", "Bhubaneswar", "Kolhapur", "Kataka (Cuttack)", "Ajmer", "Bhavnagar", "Tiruchirapalli", "Bhilai", "Bhiwandi", "Saharanpur", "Ulhasnagar", "Salem", "Ujjain", "Malegaon", "Jamnagar", "Bokaro Steel City", "Akola", "Belgaum", "Rajahmundry", "Nellore", "Udaipur", "New Bombay", "Bhatpara", "Gulbarga", "New Delhi", "Jhansi", "Gaya", "Kakinada", "Dhule (Dhulia)", "Panihati", "Nanded (Nander)", "Mangalore", "Dehra Dun", "Kamarhati", "Davangere", "Asansol", "Bhagalpur", "Bellary", "Barddhaman (Burdwan)", "Rampur", "Jalgaon", "Muzaffarpur", "Nizamabad", "Muzaffarnagar", "Patiala", "Shahjahanpur", "Kurnool", "Tiruppur (Tirupper)", "Rohtak", "South Dum Dum", "Mathura", "Chandrapur", "Barahanagar (Baranagar)", "Darbhanga", "Siliguri (Shiliguri)", "Raurkela", "Ambattur", "Panipat", "Firozabad", "Ichalkaranji", "Jammu", "Ramagundam", "Eluru", "Brahmapur", "Alwar", "Pondicherry", "Thanjavur", "Bihar Sharif", "Tuticorin", "Imphal", "Latur", "Sagar", "Farrukhabad-cum-Fatehgarh", "Sangli", "Parbhani", "Nagar Coil", "Bijapur", "Kukatpalle", "Bally", "Bhilwara", "Ratlam", "Avadi", "Dindigul", "Ahmadnagar", "Bilaspur", "Shimoga", "Kharagpur", "Mira Bhayandar", "Vellore", "Jalna", "Burnpur", "Anantapur", "Allappuzha (Alleppey)", "Tirupati", "Karnal", "Burhanpur", "Hisar (Hissar)", "Tiruvottiyur", "Mirzapur-cum-Vindhyachal", "Secunderabad", "Nadiad", "Dewas", "Murwara (Katni)", "Ganganagar", "Vizianagaram", "Mosul", "Irbil", "Kirkuk", "Basra", "al-Sulaymaniya", "al-Najaf", "Karbala", "al-Hilla", "al-Nasiriya", "al-Amara", "al-Diwaniya", "al-Ramadi", "al-Kut", "Ahvaz", "Qom", "Kermanshah", "Urmia", "Zahedan", "Rasht", "Hamadan", "Kerman", "Arak", "Ardebil", "Yazd", "Qazvin", "Zanjan", "Sanandaj", "Bandar-e-Abbas", "Khorramabad", "Eslamshahr", "Borujerd", "Abadan", "Dezful", "Kashan", "Sari", "Gorgan", "Najafabad", "Sabzevar", "Khomeynishahr", "Dublin", "Jerusalem", "Tel Aviv-Jaffa", "Haifa", "Rishon Le Ziyyon", "Beerseba", "Holon", "Palermo", "Genova", "Bologna", "Firenze", "Catania", "Bari", "Venezia", "Messina", "Verona", "Trieste", "Padova", "Taranto", "Brescia", "Reggio di Calabria", "Modena", "Prato", "Parma", "Cagliari", "Livorno", "Graz", "Linz", "Chiba", "Sakai", "Kumamoto", "Okayama", "Sagamihara", "Hamamatsu", "Kagoshima", "Funabashi", "Higashiosaka", "Hachioji", "Niigata", "Amagasaki", "Himeji", "Shizuoka", "Urawa", "Matsuyama", "Matsudo", "Kanazawa", "Kawaguchi", "Ichikawa", "Omiya", "Utsunomiya", "Oita", "Nagasaki", "Yokosuka", "Kurashiki", "Gifu", "Hirakata", "Nishinomiya", "Toyonaka", "Wakayama", "Fukuyama", "Fujisawa", "Asahikawa", "Machida", "Nara", "Takatsuki", "Iwaki", "Nagano", "Toyohashi", "Toyota", "Suita", "Takamatsu", "Koriyama", "Okazaki", "Kawagoe", "Tokorozawa", "Toyama", "Kochi", "Kashiwa", "Akita", "Miyazaki", "Koshigaya", "Naha", "Aomori", "Hakodate", "Akashi", "Yokkaichi", "Fukushima", "Morioka", "Maebashi", "Kasugai", "Otsu", "Ichihara", "Yao", "Ichinomiya", "Tokushima", "Kakogawa", "Ibaraki", "Neyagawa", "Shimonoseki", "Yamagata", "Fukui", "Hiratsuka", "Mito", "Sasebo", "Hachinohe", "Takasaki", "Shimizu", "Kurume", "Fuji", "Soka", "Fuchu", "Chigasaki", "Atsugi", "Numazu", "Ageo", "Yamato", "Matsumoto", "Kure", "Takarazuka", "Kasukabe", "Chofu", "Odawara", "Kofu", "Kushiro", "Kishiwada", "Hitachi", "Nagaoka", "Itami", "Uji", "Suzuka", "Hirosaki", "Ube", "Kodaira", "Takaoka", "Obihiro", "Tomakomai", "Saga", "Sakura", "Kamakura", "Mitaka", "Izumi", "Hino", "Hadano", "Ashikaga", "Tsu", "Sayama", "Yachiyo", "Tsukuba", "Sanaa", "Aden", "Taizz", "Hodeida", "al-Zarqa", "Irbid", "Novi Sad", "Niš", "Phnom Penh", "Garoua", "Calgary", "Toronto", "North York", "Winnipeg", "Edmonton", "Mississauga", "Scarborough", "Vancouver", "Etobicoke", "London", "Hamilton", "Ottawa", "Laval", "Surrey", "Brampton", "Windsor", "Saskatoon", "Kitchener", "Markham", "Regina", "Burnaby", "Québec", "Qaraghandy", "Shymkent", "Taraz", "Astana", "Öskemen", "Pavlodar", "Semey", "Aqtöbe", "Qostanay", "Petropavl", "Oral", "Temirtau", "Mombasa", "Kisumu", "Nakuru", "Bangui", "Handan", "Wuxi", "Xuzhou", "Datong", "Yichun", "Benxi", "Luoyang", "Suzhou", "Xining", "Huainan", "Jixi", "Daqing", "Fuxin", "Amoy [Xiamen]", "Liuzhou", "Shantou", "Jinzhou", "Mudanjiang", "Yinchuan", "Changzhou", "Zhangjiakou", "Dandong", "Hegang", "Kaifeng", "Jiamusi", "Liaoyang", "Hengyang", "Baoding", "Hunjiang", "Xinxiang", "Huangshi", "Haikou", "Yantai", "Bengbu", "Xiangtan", "Weifang", "Wuhu", "Pingxiang", "Yingkou", "Anyang", "Panzhihua", "Pingdingshan", "Xiangfan", "Zhuzhou", "Jiaozuo", "Wenzhou", "Zhangjiang", "Zigong", "Shuangyashan", "Zaozhuang", "Yakeshi", "Yichang", "Zhenjiang", "Huaibei", "Qinhuangdao", "Guilin", "Liupanshui", "Panjin", "Yangquan", "Jinxi", "Liaoyuan", "Lianyungang", "Xianyang", "Tai´an", "Chifeng", "Shaoguan", "Nantong", "Leshan", "Baoji", "Linyi", "Tonghua", "Siping", "Changzhi", "Tengzhou", "Chaozhou", "Yangzhou", "Dongwan", "Ma´anshan", "Foshan", "Yueyang", "Xingtai", "Changde", "Shihezi", "Yancheng", "Jiujiang", "Dongying", "Shashi", "Xintai", "Jingdezhen", "Tongchuan", "Zhongshan", "Shiyan", "Tieli", "Jining", "Wuhai", "Mianyang", "Luzhou", "Zunyi", "Shizuishan", "Neijiang", "Tongliao", "Tieling", "Wafangdian", "Anqing", "Shaoyang", "Laiwu", "Chengde", "Tianshui", "Nanyang", "Cangzhou", "Yibin", "Huaiyin", "Dunhua", "Yanji", "Jiangmen", "Tongling", "Suihua", "Gongziling", "Xiantao", "Chaoyang", "Ganzhou", "Huzhou", "Baicheng", "Shangzi", "Yangjiang", "Qitaihe", "Gejiu", "Jiangyin", "Hebi", "Jiaxing", "Wuzhou", "Meihekou", "Xuchang", "Liaocheng", "Haicheng", "Qianjiang", "Baiyin", "Bei´an", "Yixing", "Laizhou", "Qaramay", "Acheng", "Dezhou", "Nanping", "Zhaoqing", "Beipiao", "Fengcheng", "Fuyu", "Xinyang", "Dongtai", "Yuci", "Honghu", "Ezhou", "Heze", "Daxian", "Linfen", "Tianmen", "Yiyang", "Quanzhou", "Rizhao", "Deyang", "Guangyuan", "Changshu", "Zhangzhou", "Hailar", "Nanchong", "Jiutai", "Zhaodong", "Shaoxing", "Fuyang", "Maoming", "Qujing", "Ghulja", "Jiaohe", "Puyang", "Huadian", "Jiangyou", "Qashqar", "Anshun", "Fuling", "Xinyu", "Hanzhong", "Danyang", "Chenzhou", "Xiaogan", "Shangqiu", "Zhuhai", "Qingyuan", "Aqsu", "Jining", "Xiaoshan", "Zaoyang", "Xinghua", "Hami", "Huizhou", "Jinmen", "Sanming", "Bishkek", "Osh", "Cartagena", "Cúcuta", "Bucaramanga", "Ibagué", "Pereira", "Santa Marta", "Manizales", "Bello", "Pasto", "Neiva", "Soledad", "Armenia", "Villavicencio", "Soacha", "Valledupar", "Montería", "Itagüí", "Palmira", "Buenaventura", "Floridablanca", "Sincelejo", "Popayán", "Barrancabermeja", "Pointe-Noire", "Lubumbashi", "Mbuji-Mayi", "Kolwezi", "Kisangani", "Kananga", "Likasi", "Bukavu", "Kikwit", "Tshikapa", "Matadi", "Mbandaka", "Hamhung", "Chongjin", "Nampo", "Sinuiju", "Wonsan", "Phyongsong", "Sariwon", "Haeju", "Kanggye", "Kimchaek", "Hyesan", "Kaesong", "Songnam", "Puchon", "Suwon", "Anyang", "Chonju", "Chongju", "Koyang", "Ansan", "Pohang", "Chang-won", "Masan", "Kwangmyong", "Chonan", "Chinju", "Iksan", "Pyongtaek", "Kumi", "Uijongbu", "Kyongju", "Kunsan", "Cheju", "Kimhae", "Sunchon", "Mokpo", "Yong-in", "Wonju", "Kunpo", "Chunchon", "Namyangju", "Kangnung", "Chungju", "Andong", "Yosu", "Kyongsan", "Paju", "Yangsan", "Athenai", "Thessaloniki", "Pireus", "Zagreb", "Split", "Rijeka", "Santiago de Cuba", "Camagüey", "Holguín", "Santa Clara", "Guantánamo", "Nicosia", "Vientiane", "Riga", "Maseru", "Tripoli", "Monrovia", "Bengasi", "Vilnius", "Kaunas", "Klaipeda", "El-Aaiún", "Macao", "Antananarivo", "Skopje", "Blantyre", "Lilongwe", "Ipoh", "Johor Baharu", "Petaling Jaya", "Kelang", "Kuala Terengganu", "Pinang", "Kota Bharu", "Kuantan", "Taiping", "Seremban", "Bamako", "Rabat", "Marrakech", "Fès", "Tanger", "Salé", "Meknès", "Oujda", "Kénitra", "Tétouan", "Safi", "Nouakchott", "Naucalpan de Juárez", "Mexicali", "Culiacán", "Acapulco de Juárez", "Tlalnepantla de Baz", "Mérida", "Chihuahua", "San Luis Potosí", "Guadalupe", "Toluca", "Aguascalientes", "Querétaro", "Morelia", "Hermosillo", "Saltillo", "Torreón", "Centro (Villahermosa)", "San Nicolás de los Garza", "Durango", "Chimalhuacán", "Tlaquepaque", "Atizapán de Zaragoza", "Veracruz", "Cuautitlán Izcalli", "Irapuato", "Tuxtla Gutiérrez", "Tultitlán", "Reynosa", "Benito Juárez", "Matamoros", "Xalapa", "Celaya", "Mazatlán", "Ensenada", "Ahome", "Cajeme", "Cuernavaca", "Tonalá", "Valle de Chalco Solidaridad", "Nuevo Laredo", "Tepic", "Tampico", "Ixtapaluca", "Apodaca", "Guasave", "Gómez Palacio", "Tapachula", "Nicolás Romero", "Coatzacoalcos", "Uruapan", "Victoria", "Oaxaca de Juárez", "Coacalco de Berriozábal", "Pachuca de Soto", "General Escobedo", "Salamanca", "Santa Catarina", "Tehuacán", "Chalco", "Cárdenas", "Campeche", "La Paz", "Othón P. Blanco (Chetumal)", "Texcoco", "La Paz", "Metepec", "Monclova", "Huixquilucan", "Chilpancingo de los Bravo", "Puerto Vallarta", "Fresnillo", "Ciudad Madero", "Soledad de Graciano Sánchez", "San Juan del Río", "San Felipe del Progreso", "Córdoba", "Tecámac", "Ocosingo", "Carmen", "Lázaro Cárdenas", "Jiutepec", "Papantla", "Comalcalco", "Zamora", "Chisinau", "Tiraspol", "Ulan Bator", "Matola", "Beira", "Nampula", "Chimoio", "Mandalay", "Moulmein (Mawlamyine)", "Pegu (Bago)", "Bassein (Pathein)", "Windhoek", "Kathmandu", "Niamey", "Ogbomosho", "Kano", "Oshogbo", "Ilorin", "Abeokuta", "Port Harcourt", "Zaria", "Ilesha", "Onitsha", "Iwo", "Ado-Ekiti", "Abuja", "Kaduna", "Mushin", "Maiduguri", "Enugu", "Ede", "Aba", "Ife", "Ila", "Oyo", "Ikerre", "Benin City", "Iseyin", "Katsina", "Jos", "Sokoto", "Ilobu", "Offa", "Ikorodu", "Ilawe-Ekiti", "Owo", "Ikirun", "Shaki", "Calabar", "Ondo", "Akure", "Oslo", "Bergen", "Bouaké", "Quetta", "Islamabad", "Sargodha", "Sialkot", "Bahawalpur", "Sukkur", "Jhang", "Sheikhupura", "Larkana", "Gujrat", "Mardan", "Kasur", "Rahim Yar Khan", "Sahiwal", "Okara", "Wah", "Dera Ghazi Khan", "Mirpur Khas", "Nawabshah", "Mingora", "Chiniot", "Ciudad de Panamá", "San Miguelito", "Port Moresby", "Asunción", "Arequipa", "Trujillo", "Chiclayo", "Callao", "Iquitos", "Chimbote", "Huancayo", "Piura", "Cusco", "Pucallpa", "Tacna", "Ica", "Lisboa", "Porto", "San Juan", "Bayamón", "Ponce", "Carolina", "Lódz", "Kraków", "Wroclaw", "Poznan", "Gdansk", "Szczecin", "Bydgoszcz", "Lublin", "Katowice", "Bialystok", "Czestochowa", "Gdynia", "Sosnowiec", "Radom", "Kielce", "Gliwice", "Torun", "Bytom", "Zabrze", "Bielsko-Biala", "Olsztyn", "Rzeszów", "Doha", "Marseille", "Lyon", "Toulouse", "Nice", "Nantes", "Strasbourg", "Montpellier", "Bordeaux", "Rennes", "Le Havre", "Reims", "Lille", "St-Étienne", "Toulon", "Iasi", "Constanta", "Cluj-Napoca", "Galati", "Timisoara", "Brasov", "Craiova", "Ploiesti", "Braila", "Oradea", "Bacau", "Pitesti", "Arad", "Sibiu", "Târgu Mures", "Kigali", "Stockholm", "Gothenburg [Göteborg]", "Malmö", "Uppsala", "Frankfurt am Main", "Essen", "Dortmund", "Stuttgart", "Düsseldorf", "Bremen", "Duisburg", "Hannover", "Leipzig", "Nürnberg", "Dresden", "Bochum", "Wuppertal", "Bielefeld", "Mannheim", "Bonn", "Gelsenkirchen", "Karlsruhe", "Wiesbaden", "Münster", "Mönchengladbach", "Chemnitz", "Augsburg", "Halle/Saale", "Braunschweig", "Aachen", "Krefeld", "Magdeburg", "Kiel", "Oberhausen", "Lübeck", "Hagen", "Rostock", "Freiburg im Breisgau", "Erfurt", "Kassel", "Saarbrücken", "Mainz", "Hamm", "Herne", "Mülheim an der Ruhr", "Solingen", "Osnabrück", "Ludwigshafen am Rhein", "Leverkusen", "Ndola", "Kitwe", "Medina", "al-Dammam", "al-Taif", "Tabuk", "Burayda", "al-Hufuf", "al-Mubarraz", "Khamis Mushayt", "Hail", "Pikine", "Dakar", "Thiès", "Kaolack", "Ziguinchor", "Freetown", "Bratislava", "Košice", "Ljubljana", "Colombo", "Dehiwala", "Moratuwa", "Sharq al-Nil", "Port Sudan", "Kassala", "Obeid", "Nyala", "Wad Madani", "al-Qadarif", "Kusti", "Helsinki [Helsingfors]", "Espoo", "Tampere", "Vantaa", "Turku [Åbo]", "Zürich", "Geneve", "Basel", "Hims", "Hama", "Latakia", "Dushanbe", "Khujand", "Tainan", "Panchiao", "Chungho", "Keelung (Chilung)", "Sanchung", "Hsinchuang", "Hsinchu", "Chungli", "Fengshan", "Taoyuan", "Chiayi", "Hsintien", "Changhwa", "Yungho", "Tucheng", "Pingtung", "Yungkang", "Pingchen", "Tali", "Taiping", "Pate", "Fengyuan", "Luchou", "Dodoma", "Mwanza", "København", "Århus", "Odense", "Aalborg", "Nonthaburi", "Nakhon Ratchasima", "Chiang Mai", "Lomé", "N´Djaména", "Brno", "Ostrava", "Plzen", "Tunis", "Sfax", "Ariana", "Ettadhamen", "Gaziantep", "Konya", "Mersin (Içel)", "Antalya", "Diyarbakir", "Kayseri", "Eskisehir", "Sanliurfa", "Samsun", "Malatya", "Gebze", "Denizli", "Sivas", "Erzurum", "Tarsus", "Kahramanmaras", "Elâzig", "Van", "Sultanbeyli", "Izmit (Kocaeli)", "Manisa", "Batman", "Balikesir", "Sakarya (Adapazari)", "Ashgabat", "Chärjew", "Kampala", "Zaporizzja", "Lviv", "Kryvyi Rig", "Mykolajiv", "Mariupol", "Lugansk", "Vinnytsja", "Makijivka", "Herson", "Sevastopol", "Simferopol", "Pultava [Poltava]", "Tšernigiv", "Tšerkasy", "Gorlivka", "Zytomyr", "Sumy", "Dniprodzerzynsk", "Kirovograd", "Hmelnytskyi", "Tšernivtsi", "Rivne", "Krementšuk", "Ivano-Frankivsk", "Ternopil", "Lutsk", "Bila Tserkva", "Kramatorsk", "Melitopol", "Kertš", "Debrecen", "Miskolc", "Auckland", "Christchurch", "Manukau", "North Shore", "Waitakere", "Wellington", "Namangan", "Samarkand", "Andijon", "Buhoro", "Karsi", "Nukus", "Kükon", "Fargona", "Gomel", "Mogiljov", "Vitebsk", "Grodno", "Brest", "Bobruisk", "Baranovitši", "Barquisimeto", "Valencia", "Ciudad Guayana", "Petare", "Maracay", "Barcelona", "Maturín", "San Cristóbal", "Ciudad Bolívar", "Cumaná", "Mérida", "Cabimas", "Barinas", "Turmero", "Baruta", "Puerto Cabello", "Santa Ana de Coro", "Los Teques", "Punto Fijo", "Guarenas", "Krasnojarsk", "Saratov", "Toljatti", "Uljanovsk", "Izevsk", "Krasnodar", "Jaroslavl", "Habarovsk", "Vladivostok", "Irkutsk", "Barnaul", "Novokuznetsk", "Penza", "Rjazan", "Orenburg", "Lipetsk", "Nabereznyje Tšelny", "Tula", "Tjumen", "Kemerovo", "Astrahan", "Tomsk", "Kirov", "Ivanovo", "Tšeboksary", "Brjansk", "Tver", "Kursk", "Magnitogorsk", "Kaliningrad", "Nizni Tagil", "Murmansk", "Ulan-Ude", "Kurgan", "Arkangeli", "Sotši", "Smolensk", "Orjol", "Stavropol", "Belgorod", "Kaluga", "Vladimir", "Mahatškala", "Tšerepovets", "Saransk", "Tambov", "Vladikavkaz", "Tšita", "Vologda", "Veliki Novgorod", "Komsomolsk-na-Amure", "Kostroma", "Volzski", "Taganrog", "Petroskoi", "Bratsk", "Dzerzinsk", "Surgut", "Orsk", "Sterlitamak", "Angarsk", "Joškar-Ola", "Rybinsk", "Prokopjevsk", "Niznevartovsk", "Naltšik", "Syktyvkar", "Severodvinsk", "Bijsk", "Niznekamsk", "Blagoveštšensk", "Šahty", "Staryi Oskol", "Zelenograd", "Balakovo", "Novorossijsk", "Pihkova", "Zlatoust", "Jakutsk", "Podolsk", "Petropavlovsk-Kamtšatski", "Kamensk-Uralski", "Engels", "Syzran", "Grozny", "Novotšerkassk", "Berezniki", "Juzno-Sahalinsk", "Volgodonsk", "Abakan", "Maikop", "Miass", "Armavir", "Ljubertsy", "Rubtsovsk", "Haiphong", "Da Nang", "Biên Hoa", "Nha Trang", "Hue", "Can Tho", "Cam Pha", "Nam Dinh", "Quy Nhon", "Tallinn", "San Jose", "Indianapolis", "San Francisco", "Jacksonville", "Columbus", "Austin", "Baltimore", "Memphis", "Milwaukee", "Boston", "Washington", "Nashville-Davidson", "El Paso", "Seattle", "Denver", "Charlotte", "Fort Worth", "Portland", "Oklahoma City", "Tucson", "New Orleans", "Las Vegas", "Cleveland", "Long Beach", "Albuquerque", "Kansas City", "Fresno", "Virginia Beach", "Atlanta", "Sacramento", "Oakland", "Mesa", "Tulsa", "Omaha", "Minneapolis", "Honolulu", "Miami", "Colorado Springs", "Saint Louis", "Wichita", "Santa Ana", "Pittsburgh", "Arlington", "Cincinnati", "Anaheim", "Toledo", "Tampa", "Buffalo", "Saint Paul", "Corpus Christi", "Aurora", "Raleigh", "Newark", "Lexington-Fayette", "Anchorage", "Louisville", "Riverside", "Saint Petersburg", "Bakersfield", "Stockton", "Birmingham", "Jersey City", "Norfolk", "Baton Rouge", "Hialeah", "Lincoln", "Greensboro", "Plano", "Rochester", "Glendale", "Akron", "Garland", "Madison", "Fort Wayne", "Fremont", "Scottsdale", "Montgomery", "Shreveport", "Augusta-Richmond County", "Lubbock", "Chesapeake", "Mobile", "Des Moines", "Grand Rapids", "Richmond", "Yonkers", "Spokane", "Glendale", "Tacoma", "Irving", "Huntington Beach", "Modesto", "Durham", "Columbus", "Orlando", "Boise City", "Winston-Salem", "San Bernardino", "Jackson", "Little Rock", "Salt Lake City", "Reno", "Newport News", "Chandler", "Laredo", "Henderson", "Arlington", "Knoxville", "Amarillo", "Providence", "Chula Vista", "Worcester", "Oxnard", "Dayton", "Garden Grove", "Oceanside", "Bulawayo", "Chitungwiza", "Mount Darwin", "Gaza" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "city" ], "split": "eval", "question_id": "world_1_eval_100" }, { "question_text": "Find the government form name and total population for each government form whose average life expectancy is longer than 72.", "database_name": "world_1", "gold_sql": "SELECT sum(Population) , GovernmentForm FROM country GROUP BY GovernmentForm HAVING avg(LifeExpectancy) > 72", "gold_answer": [ [ 3947000, "Commonwealth of the US" ], [ 1972000, "Constitutional Monarchy (Emirate)" ], [ 82516000, "Constitutional Monarchy, Federation" ], [ 193050, "Dependent Territory of the UK" ], [ 2441000, "Emirate Federation" ], [ 7160400, "Federation" ], [ 617000, "Monarchy (Emirate)" ], [ 2870000, "Monarchy (Sultanate)" ], [ 464000, "Nonmetropolitan Territory of France" ], [ 320000, "Nonmetropolitan Territory of The Netherlands" ], [ 1731000, "Overseas Department of France" ], [ 78000, "Parliamentary Coprincipality" ], [ 99000, "Part of Denmark" ], [ 115072000, "Socialistic Republic" ], [ 5605000, "Socialistic State" ], [ 7255000, "Special Administrative Region of China" ], [ 329000, "US Territory" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_101" }, { "question_text": "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?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) , GovernmentForm FROM country GROUP BY GovernmentForm HAVING avg(LifeExpectancy) > 72", "gold_answer": [ [ 3947000, "Commonwealth of the US" ], [ 1972000, "Constitutional Monarchy (Emirate)" ], [ 82516000, "Constitutional Monarchy, Federation" ], [ 193050, "Dependent Territory of the UK" ], [ 2441000, "Emirate Federation" ], [ 7160400, "Federation" ], [ 617000, "Monarchy (Emirate)" ], [ 2870000, "Monarchy (Sultanate)" ], [ 464000, "Nonmetropolitan Territory of France" ], [ 320000, "Nonmetropolitan Territory of The Netherlands" ], [ 1731000, "Overseas Department of France" ], [ 78000, "Parliamentary Coprincipality" ], [ 99000, "Part of Denmark" ], [ 115072000, "Socialistic Republic" ], [ 5605000, "Socialistic State" ], [ 7255000, "Special Administrative Region of China" ], [ 329000, "US Territory" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_102" }, { "question_text": "Find the average life expectancy and total population for each continent where the average life expectancy is shorter than 72?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) , avg(LifeExpectancy) , Continent FROM country GROUP BY Continent HAVING avg(LifeExpectancy) < 72", "gold_answer": [ [ 784475000, 52.5719298245614, "Africa" ], [ 3705025700, 67.44117647058823, "Asia" ], [ 30401150, 69.715, "Oceania" ], [ 345780000, 70.94615384615385, "South America" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_103" }, { "question_text": "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?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) , avg(LifeExpectancy) , Continent FROM country GROUP BY Continent HAVING avg(LifeExpectancy) < 72", "gold_answer": [ [ 784475000, 52.5719298245614, "Africa" ], [ 3705025700, 67.44117647058823, "Asia" ], [ 30401150, 69.715, "Oceania" ], [ 345780000, 70.94615384615385, "South America" ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_104" }, { "question_text": "How many people live in Asia, and what is the largest GNP among them?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) , max(GNP) FROM country WHERE Continent = \"Asia\"", "gold_answer": [ [ 3705025700, 3787042.0 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_105" }, { "question_text": "What is the total population and maximum GNP in Asia?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) , max(GNP) FROM country WHERE Continent = \"Asia\"", "gold_answer": [ [ 3705025700, 3787042.0 ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_106" }, { "question_text": "How many people live in Gelderland district?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) FROM city WHERE District = \"Gelderland\"", "gold_answer": 545548, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "city" ], "split": "eval", "question_id": "world_1_eval_107" }, { "question_text": "What is the total population of Gelderland district?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) FROM city WHERE District = \"Gelderland\"", "gold_answer": 545548, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "city" ], "split": "eval", "question_id": "world_1_eval_108" }, { "question_text": "How many people live in countries that do not speak English?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = \"English\")", "gold_answer": 5451331150, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_109" }, { "question_text": "What is the total number of people living in the nations that do not use English?", "database_name": "world_1", "gold_sql": "SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = \"English\")", "gold_answer": 5451331150, "answer_type": "integer", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_110" }, { "question_text": "Give the total surface area covered by countries in Asia or Europe.", "database_name": "world_1", "gold_sql": "SELECT sum(SurfaceArea) FROM country WHERE Continent = \"Asia\" OR Continent = \"Europe\"", "gold_answer": 54930138.9, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_111" }, { "question_text": "What is the total surface area of the continents Asia and Europe?", "database_name": "world_1", "gold_sql": "SELECT sum(SurfaceArea) FROM country WHERE Continent = \"Asia\" OR Continent = \"Europe\"", "gold_answer": 54930138.9, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_112" }, { "question_text": "How much surface area do the countires in the Carribean cover together?", "database_name": "world_1", "gold_sql": "SELECT sum(SurfaceArea) FROM country WHERE Region = \"Caribbean\"", "gold_answer": 234423.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_113" }, { "question_text": "What is the total surface area of the countries in the Caribbean region?", "database_name": "world_1", "gold_sql": "SELECT sum(SurfaceArea) FROM country WHERE Region = \"Caribbean\"", "gold_answer": 234423.0, "answer_type": "float", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_114" }, { "question_text": "Which unique cities are in Asian countries where Chinese is the official language ?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [], "answer_type": "list", "difficulty": "medium", "tables_involved": [ "city", "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_115" }, { "question_text": "Return the names of cities that have a population between 160000 and 900000 .", "database_name": "world_1", "gold_sql": "select name from city where population between 160000 and 900000", "gold_answer": [ "Qandahar", "Herat", "Amsterdam", "Rotterdam", "Haag", "Utrecht", "Eindhoven", "Tilburg", "Groningen", "Breda", "Tirana", "Oran", "Constantine", "Annaba", "Batna", "Sétif", "Huambo", "Dubai", "Abu Dhabi", "Sharja", "al-Ayn", "Lomas de Zamora", "Quilmes", "Almirante Brown", "La Plata", "Mar del Plata", "San Miguel de Tucumán", "Lanús", "Merlo", "General San Martín", "Salta", "Moreno", "Santa Fé", "Avellaneda", "Tres de Febrero", "Morón", "Florencio Varela", "San Isidro", "Tigre", "Malvinas Argentinas", "Vicente López", "Berazategui", "Corrientes", "San Miguel", "Bahía Blanca", "Esteban Echeverría", "Resistencia", "José C. Paz", "Paraná", "Godoy Cruz", "Posadas", "Guaymallén", "Santiago del Estero", "San Salvador de Jujuy", "Hurlingham", "Neuquén", "Gjumri", "Vanadzor", "Canberra", "Gold Coast", "Newcastle", "Central Coast", "Wollongong", "Gäncä", "Sumqayit", "Nassau", "Khulna", "Rajshahi", "Narayanganj", "Rangpur", "Mymensingh", "Barisal", "Tungi", "Antwerpen", "Gent", "Charleroi", "Liège", "Cotonou", "Porto-Novo", "La Paz", "El Alto", "Cochabamba", "Oruro", "Sucre", "Sarajevo", "Gaborone", "São Gonçalo", "Nova Iguaçu", "São Luís", "Maceió", "Duque de Caxias", "São Bernardo do Campo", "Teresina", "Natal", "Osasco", "Campo Grande", "Santo André", "João Pessoa", "Jaboatão dos Guararapes", "Contagem", "São José dos Campos", "Uberlândia", "Feira de Santana", "Ribeirão Preto", "Sorocaba", "Niterói", "Cuiabá", "Juiz de Fora", "Aracaju", "São João de Meriti", "Londrina", "Joinville", "Belford Roxo", "Santos", "Ananindeua", "Campos dos Goytacazes", "Mauá", "Carapicuíba", "Olinda", "Campina Grande", "São José do Rio Preto", "Caxias do Sul", "Moji das Cruzes", "Diadema", "Aparecida de Goiânia", "Piracicaba", "Cariacica", "Vila Velha", "Pelotas", "Bauru", "Porto Velho", "Serra", "Betim", "Jundíaí", "Canoas", "Franca", "São Vicente", "Maringá", "Montes Claros", "Anápolis", "Florianópolis", "Petrópolis", "Itaquaquecetuba", "Vitória", "Ponta Grossa", "Rio Branco", "Foz do Iguaçu", "Macapá", "Ilhéus", "Vitória da Conquista", "Uberaba", "Paulista", "Limeira", "Blumenau", "Caruaru", "Santarém", "Volta Redonda", "Novo Hamburgo", "Caucaia", "Santa Maria", "Cascavel", "Guarujá", "Ribeirão das Neves", "Governador Valadares", "Taubaté", "Imperatriz", "Gravataí", "Embu", "Mossoró", "Várzea Grande", "Petrolina", "Barueri", "Viamão", "Ipatinga", "Juazeiro", "Juazeiro do Norte", "Taboão da Serra", "São José dos Pinhais", "Magé", "Suzano", "São Leopoldo", "Marília", "São Carlos", "Sumaré", "Presidente Prudente", "Divinópolis", "Sete Lagoas", "Rio Grande", "Itabuna", "Jequié", "Arapiraca", "Colombo", "Americana", "Alvorada", "Araraquara", "Itaboraí", "Santa Bárbara d´Oeste", "Nova Friburgo", "Jacareí", "Araçatuba", "Barra Mansa", "Praia Grande", "Marabá", "Criciúma", "Boa Vista", "Passo Fundo", "Dourados", "Santa Luzia", "Rio Claro", "Maracanaú", "Guarapuava", "Glasgow", "Liverpool", "Edinburgh", "Sheffield", "Manchester", "Leeds", "Bristol", "Cardiff", "Coventry", "Leicester", "Bradford", "Belfast", "Nottingham", "Kingston upon Hull", "Plymouth", "Stoke-on-Trent", "Wolverhampton", "Derby", "Swansea", "Southampton", "Aberdeen", "Northampton", "Dudley", "Portsmouth", "Newcastle upon Tyne", "Sunderland", "Luton", "Swindon", "Southend-on-Sea", "Walsall", "Bournemouth", "Plovdiv", "Varna", "Burgas", "Ruse", "Ouagadougou", "Bobo-Dioulasso", "Bujumbura", "Puente Alto", "Viña del Mar", "Valparaíso", "Talcahuano", "Antofagasta", "San Bernardo", "Temuco", "Concepción", "Rancagua", "Arica", "Talca", "Chillán", "Iquique", "San José", "Djibouti", "Santiago de los Caballeros", "Cuenca", "Machala", "Santo Domingo de los Colorados", "Portoviejo", "Ambato", "Manta", "Shubra al-Khayma", "Port Said", "Suez", "al-Mahallat al-Kubra", "Tanta", "al-Mansura", "Luxor", "Asyut", "Bahtim", "Zagazig", "al-Faiyum", "Ismailia", "Kafr al-Dawwar", "Assuan", "Damanhur", "al-Minya", "Bani Suwayf", "Qina", "Sawhaj", "San Salvador", "Asmara", "Valencia", "Sevilla", "Zaragoza", "Málaga", "Bilbao", "Las Palmas de Gran Canaria", "Murcia", "Palma de Mallorca", "Valladolid", "Córdoba", "Vigo", "Alicante [Alacant]", "Gijón", "L´Hospitalet de Llobregat", "Granada", "A Coruña (La Coruña)", "Vitoria-Gasteiz", "Santa Cruz de Tenerife", "Badalona", "Oviedo", "Móstoles", "Elche [Elx]", "Sabadell", "Santander", "Jerez de la Frontera", "Pamplona [Iruña]", "Donostia-San Sebastián", "Cartagena", "Leganés", "Fuenlabrada", "Almería", "Terrassa", "Alcalá de Henares", "Burgos", "Johannesburg", "Port Elizabeth", "Pretoria", "Inanda", "Durban", "Vanderbijlpark", "Kempton Park", "Alberton", "Pinetown", "Pietermaritzburg", "Benoni", "Randburg", "Umlazi", "Bloemfontein", "Vereeniging", "Wonderboom", "Roodepoort", "Boksburg", "Klerksdorp", "Soshanguve", "Newcastle", "East London", "Welkom", "Kimberley", "Uitenhage", "Chatsworth", "Mdantsane", "Krugersdorp", "Botshabelo", "Brakpan", "Witbank", "Oberholzer", "Germiston", "Springs", "Dire Dawa", "Cebu", "Zamboanga", "Pasig", "Valenzuela", "Las Piñas", "Antipolo", "Taguig", "Cagayan de Oro", "Parañaque", "Makati", "Bacolod", "General Santos", "Marikina", "Dasmariñas", "Muntinlupa", "Iloilo", "Pasay", "Malabon", "San José del Monte", "Bacoor", "Iligan", "Calamba", "Mandaluyong", "Butuan", "Angeles", "Tarlac", "Mandaue", "Baguio", "Batangas", "Cainta", "San Pedro", "Navotas", "Cabanatuan", "San Fernando", "Lipa", "Lapu-Lapu", "San Pablo", "Biñan", "Taytay", "Lucena", "Imus", "Olongapo", "Binangonan", "Santa Rosa", "Tagum", "Tacloban", "Malolos", "Mabalacat", "Cotabato", "Meycauayan", "Puerto Princesa", "Libreville", "Kutaisi", "Kumasi", "Ciudad de Guatemala", "Mixco", "Bissau", "Georgetown", "Port-au-Prince", "Carrefour", "Delmas", "Tegucigalpa", "San Pedro Sula", "Malang", "Bandar Lampung", "Bekasi", "Padang", "Surakarta", "Banjarmasin", "Pekan Baru", "Denpasar", "Yogyakarta", "Pontianak", "Samarinda", "Jambi", "Depok", "Cimahi", "Balikpapan", "Manado", "Mataram", "Pekalongan", "Tegal", "Bogor", "Ciputat", "Pondokgede", "Cirebon", "Kediri", "Ambon", "Jember", "Cilacap", "Cimanggis", "Pematang Siantar", "Purwokerto", "Ciomas", "Tasikmalaya", "Madiun", "Srinagar", "Agra", "Coimbatore", "Thane (Thana)", "Allahabad", "Meerut", "Vishakhapatnam", "Jabalpur", "Amritsar", "Faridabad", "Vijayawada", "Gwalior", "Jodhpur", "Nashik (Nasik)", "Hubli-Dharwad", "Solapur (Sholapur)", "Ranchi", "Bareilly", "Guwahati (Gauhati)", "Shambajinagar (Aurangabad)", "Cochin (Kochi)", "Rajkot", "Kota", "Thiruvananthapuram (Trivandrum", "Pimpri-Chinchwad", "Jalandhar (Jullundur)", "Gorakhpur", "Chandigarh", "Mysore", "Aligarh", "Guntur", "Jamshedpur", "Ghaziabad", "Warangal", "Raipur", "Moradabad", "Durgapur", "Amravati", "Calicut (Kozhikode)", "Bikaner", "Bhubaneswar", "Kolhapur", "Kataka (Cuttack)", "Ajmer", "Bhavnagar", "Tiruchirapalli", "Bhilai", "Bhiwandi", "Saharanpur", "Ulhasnagar", "Salem", "Ujjain", "Malegaon", "Jamnagar", "Bokaro Steel City", "Akola", "Belgaum", "Rajahmundry", "Nellore", "Udaipur", "New Bombay", "Bhatpara", "Gulbarga", "New Delhi", "Jhansi", "Gaya", "Kakinada", "Dhule (Dhulia)", "Panihati", "Nanded (Nander)", "Mangalore", "Dehra Dun", "Kamarhati", "Davangere", "Asansol", "Bhagalpur", "Bellary", "Barddhaman (Burdwan)", "Rampur", "Jalgaon", "Muzaffarpur", "Nizamabad", "Muzaffarnagar", "Patiala", "Shahjahanpur", "Kurnool", "Tiruppur (Tirupper)", "Rohtak", "South Dum Dum", "Mathura", "Chandrapur", "Barahanagar (Baranagar)", "Darbhanga", "Siliguri (Shiliguri)", "Raurkela", "Ambattur", "Panipat", "Firozabad", "Ichalkaranji", "Jammu", "Ramagundam", "Eluru", "Brahmapur", "Alwar", "Pondicherry", "Thanjavur", "Bihar Sharif", "Tuticorin", "Imphal", "Latur", "Sagar", "Farrukhabad-cum-Fatehgarh", "Sangli", "Parbhani", "Nagar Coil", "Bijapur", "Kukatpalle", "Bally", "Bhilwara", "Ratlam", "Avadi", "Dindigul", "Ahmadnagar", "Bilaspur", "Shimoga", "Kharagpur", "Mira Bhayandar", "Vellore", "Jalna", "Burnpur", "Anantapur", "Allappuzha (Alleppey)", "Tirupati", "Karnal", "Burhanpur", "Hisar (Hissar)", "Tiruvottiyur", "Mirzapur-cum-Vindhyachal", "Secunderabad", "Nadiad", "Dewas", "Murwara (Katni)", "Ganganagar", "Vizianagaram", "Mosul", "Irbil", "Kirkuk", "Basra", "al-Sulaymaniya", "al-Najaf", "Karbala", "al-Hilla", "al-Nasiriya", "al-Amara", "al-Diwaniya", "al-Ramadi", "al-Kut", "Ahvaz", "Qom", "Kermanshah", "Urmia", "Zahedan", "Rasht", "Hamadan", "Kerman", "Arak", "Ardebil", "Yazd", "Qazvin", "Zanjan", "Sanandaj", "Bandar-e-Abbas", "Khorramabad", "Eslamshahr", "Borujerd", "Abadan", "Dezful", "Kashan", "Sari", "Gorgan", "Najafabad", "Sabzevar", "Khomeynishahr", "Dublin", "Jerusalem", "Tel Aviv-Jaffa", "Haifa", "Rishon Le Ziyyon", "Beerseba", "Holon", "Palermo", "Genova", "Bologna", "Firenze", "Catania", "Bari", "Venezia", "Messina", "Verona", "Trieste", "Padova", "Taranto", "Brescia", "Reggio di Calabria", "Modena", "Prato", "Parma", "Cagliari", "Livorno", "Graz", "Linz", "Chiba", "Sakai", "Kumamoto", "Okayama", "Sagamihara", "Hamamatsu", "Kagoshima", "Funabashi", "Higashiosaka", "Hachioji", "Niigata", "Amagasaki", "Himeji", "Shizuoka", "Urawa", "Matsuyama", "Matsudo", "Kanazawa", "Kawaguchi", "Ichikawa", "Omiya", "Utsunomiya", "Oita", "Nagasaki", "Yokosuka", "Kurashiki", "Gifu", "Hirakata", "Nishinomiya", "Toyonaka", "Wakayama", "Fukuyama", "Fujisawa", "Asahikawa", "Machida", "Nara", "Takatsuki", "Iwaki", "Nagano", "Toyohashi", "Toyota", "Suita", "Takamatsu", "Koriyama", "Okazaki", "Kawagoe", "Tokorozawa", "Toyama", "Kochi", "Kashiwa", "Akita", "Miyazaki", "Koshigaya", "Naha", "Aomori", "Hakodate", "Akashi", "Yokkaichi", "Fukushima", "Morioka", "Maebashi", "Kasugai", "Otsu", "Ichihara", "Yao", "Ichinomiya", "Tokushima", "Kakogawa", "Ibaraki", "Neyagawa", "Shimonoseki", "Yamagata", "Fukui", "Hiratsuka", "Mito", "Sasebo", "Hachinohe", "Takasaki", "Shimizu", "Kurume", "Fuji", "Soka", "Fuchu", "Chigasaki", "Atsugi", "Numazu", "Ageo", "Yamato", "Matsumoto", "Kure", "Takarazuka", "Kasukabe", "Chofu", "Odawara", "Kofu", "Kushiro", "Kishiwada", "Hitachi", "Nagaoka", "Itami", "Uji", "Suzuka", "Hirosaki", "Ube", "Kodaira", "Takaoka", "Obihiro", "Tomakomai", "Saga", "Sakura", "Kamakura", "Mitaka", "Izumi", "Hino", "Hadano", "Ashikaga", "Tsu", "Sayama", "Yachiyo", "Tsukuba", "Sanaa", "Aden", "Taizz", "Hodeida", "al-Zarqa", "Irbid", "Novi Sad", "Niš", "Phnom Penh", "Garoua", "Calgary", "Toronto", "North York", "Winnipeg", "Edmonton", "Mississauga", "Scarborough", "Vancouver", "Etobicoke", "London", "Hamilton", "Ottawa", "Laval", "Surrey", "Brampton", "Windsor", "Saskatoon", "Kitchener", "Markham", "Regina", "Burnaby", "Québec", "Qaraghandy", "Shymkent", "Taraz", "Astana", "Öskemen", "Pavlodar", "Semey", "Aqtöbe", "Qostanay", "Petropavl", "Oral", "Temirtau", "Mombasa", "Kisumu", "Nakuru", "Bangui", "Handan", "Wuxi", "Xuzhou", "Datong", "Yichun", "Benxi", "Luoyang", "Suzhou", "Xining", "Huainan", "Jixi", "Daqing", "Fuxin", "Amoy [Xiamen]", "Liuzhou", "Shantou", "Jinzhou", "Mudanjiang", "Yinchuan", "Changzhou", "Zhangjiakou", "Dandong", "Hegang", "Kaifeng", "Jiamusi", "Liaoyang", "Hengyang", "Baoding", "Hunjiang", "Xinxiang", "Huangshi", "Haikou", "Yantai", "Bengbu", "Xiangtan", "Weifang", "Wuhu", "Pingxiang", "Yingkou", "Anyang", "Panzhihua", "Pingdingshan", "Xiangfan", "Zhuzhou", "Jiaozuo", "Wenzhou", "Zhangjiang", "Zigong", "Shuangyashan", "Zaozhuang", "Yakeshi", "Yichang", "Zhenjiang", "Huaibei", "Qinhuangdao", "Guilin", "Liupanshui", "Panjin", "Yangquan", "Jinxi", "Liaoyuan", "Lianyungang", "Xianyang", "Tai´an", "Chifeng", "Shaoguan", "Nantong", "Leshan", "Baoji", "Linyi", "Tonghua", "Siping", "Changzhi", "Tengzhou", "Chaozhou", "Yangzhou", "Dongwan", "Ma´anshan", "Foshan", "Yueyang", "Xingtai", "Changde", "Shihezi", "Yancheng", "Jiujiang", "Dongying", "Shashi", "Xintai", "Jingdezhen", "Tongchuan", "Zhongshan", "Shiyan", "Tieli", "Jining", "Wuhai", "Mianyang", "Luzhou", "Zunyi", "Shizuishan", "Neijiang", "Tongliao", "Tieling", "Wafangdian", "Anqing", "Shaoyang", "Laiwu", "Chengde", "Tianshui", "Nanyang", "Cangzhou", "Yibin", "Huaiyin", "Dunhua", "Yanji", "Jiangmen", "Tongling", "Suihua", "Gongziling", "Xiantao", "Chaoyang", "Ganzhou", "Huzhou", "Baicheng", "Shangzi", "Yangjiang", "Qitaihe", "Gejiu", "Jiangyin", "Hebi", "Jiaxing", "Wuzhou", "Meihekou", "Xuchang", "Liaocheng", "Haicheng", "Qianjiang", "Baiyin", "Bei´an", "Yixing", "Laizhou", "Qaramay", "Acheng", "Dezhou", "Nanping", "Zhaoqing", "Beipiao", "Fengcheng", "Fuyu", "Xinyang", "Dongtai", "Yuci", "Honghu", "Ezhou", "Heze", "Daxian", "Linfen", "Tianmen", "Yiyang", "Quanzhou", "Rizhao", "Deyang", "Guangyuan", "Changshu", "Zhangzhou", "Hailar", "Nanchong", "Jiutai", "Zhaodong", "Shaoxing", "Fuyang", "Maoming", "Qujing", "Ghulja", "Jiaohe", "Puyang", "Huadian", "Jiangyou", "Qashqar", "Anshun", "Fuling", "Xinyu", "Hanzhong", "Danyang", "Chenzhou", "Xiaogan", "Shangqiu", "Zhuhai", "Qingyuan", "Aqsu", "Jining", "Xiaoshan", "Zaoyang", "Xinghua", "Hami", "Huizhou", "Jinmen", "Sanming", "Bishkek", "Osh", "Cartagena", "Cúcuta", "Bucaramanga", "Ibagué", "Pereira", "Santa Marta", "Manizales", "Bello", "Pasto", "Neiva", "Soledad", "Armenia", "Villavicencio", "Soacha", "Valledupar", "Montería", "Itagüí", "Palmira", "Buenaventura", "Floridablanca", "Sincelejo", "Popayán", "Barrancabermeja", "Pointe-Noire", "Lubumbashi", "Mbuji-Mayi", "Kolwezi", "Kisangani", "Kananga", "Likasi", "Bukavu", "Kikwit", "Tshikapa", "Matadi", "Mbandaka", "Hamhung", "Chongjin", "Nampo", "Sinuiju", "Wonsan", "Phyongsong", "Sariwon", "Haeju", "Kanggye", "Kimchaek", "Hyesan", "Kaesong", "Songnam", "Puchon", "Suwon", "Anyang", "Chonju", "Chongju", "Koyang", "Ansan", "Pohang", "Chang-won", "Masan", "Kwangmyong", "Chonan", "Chinju", "Iksan", "Pyongtaek", "Kumi", "Uijongbu", "Kyongju", "Kunsan", "Cheju", "Kimhae", "Sunchon", "Mokpo", "Yong-in", "Wonju", "Kunpo", "Chunchon", "Namyangju", "Kangnung", "Chungju", "Andong", "Yosu", "Kyongsan", "Paju", "Yangsan", "Athenai", "Thessaloniki", "Pireus", "Zagreb", "Split", "Rijeka", "Santiago de Cuba", "Camagüey", "Holguín", "Santa Clara", "Guantánamo", "Nicosia", "Vientiane", "Riga", "Maseru", "Tripoli", "Monrovia", "Bengasi", "Vilnius", "Kaunas", "Klaipeda", "El-Aaiún", "Macao", "Antananarivo", "Skopje", "Blantyre", "Lilongwe", "Ipoh", "Johor Baharu", "Petaling Jaya", "Kelang", "Kuala Terengganu", "Pinang", "Kota Bharu", "Kuantan", "Taiping", "Seremban", "Bamako", "Rabat", "Marrakech", "Fès", "Tanger", "Salé", "Meknès", "Oujda", "Kénitra", "Tétouan", "Safi", "Nouakchott", "Naucalpan de Juárez", "Mexicali", "Culiacán", "Acapulco de Juárez", "Tlalnepantla de Baz", "Mérida", "Chihuahua", "San Luis Potosí", "Guadalupe", "Toluca", "Aguascalientes", "Querétaro", "Morelia", "Hermosillo", "Saltillo", "Torreón", "Centro (Villahermosa)", "San Nicolás de los Garza", "Durango", "Chimalhuacán", "Tlaquepaque", "Atizapán de Zaragoza", "Veracruz", "Cuautitlán Izcalli", "Irapuato", "Tuxtla Gutiérrez", "Tultitlán", "Reynosa", "Benito Juárez", "Matamoros", "Xalapa", "Celaya", "Mazatlán", "Ensenada", "Ahome", "Cajeme", "Cuernavaca", "Tonalá", "Valle de Chalco Solidaridad", "Nuevo Laredo", "Tepic", "Tampico", "Ixtapaluca", "Apodaca", "Guasave", "Gómez Palacio", "Tapachula", "Nicolás Romero", "Coatzacoalcos", "Uruapan", "Victoria", "Oaxaca de Juárez", "Coacalco de Berriozábal", "Pachuca de Soto", "General Escobedo", "Salamanca", "Santa Catarina", "Tehuacán", "Chalco", "Cárdenas", "Campeche", "La Paz", "Othón P. Blanco (Chetumal)", "Texcoco", "La Paz", "Metepec", "Monclova", "Huixquilucan", "Chilpancingo de los Bravo", "Puerto Vallarta", "Fresnillo", "Ciudad Madero", "Soledad de Graciano Sánchez", "San Juan del Río", "San Felipe del Progreso", "Córdoba", "Tecámac", "Ocosingo", "Carmen", "Lázaro Cárdenas", "Jiutepec", "Papantla", "Comalcalco", "Zamora", "Chisinau", "Tiraspol", "Ulan Bator", "Matola", "Beira", "Nampula", "Chimoio", "Mandalay", "Moulmein (Mawlamyine)", "Pegu (Bago)", "Bassein (Pathein)", "Windhoek", "Kathmandu", "Niamey", "Ogbomosho", "Kano", "Oshogbo", "Ilorin", "Abeokuta", "Port Harcourt", "Zaria", "Ilesha", "Onitsha", "Iwo", "Ado-Ekiti", "Abuja", "Kaduna", "Mushin", "Maiduguri", "Enugu", "Ede", "Aba", "Ife", "Ila", "Oyo", "Ikerre", "Benin City", "Iseyin", "Katsina", "Jos", "Sokoto", "Ilobu", "Offa", "Ikorodu", "Ilawe-Ekiti", "Owo", "Ikirun", "Shaki", "Calabar", "Ondo", "Akure", "Oslo", "Bergen", "Bouaké", "Quetta", "Islamabad", "Sargodha", "Sialkot", "Bahawalpur", "Sukkur", "Jhang", "Sheikhupura", "Larkana", "Gujrat", "Mardan", "Kasur", "Rahim Yar Khan", "Sahiwal", "Okara", "Wah", "Dera Ghazi Khan", "Mirpur Khas", "Nawabshah", "Mingora", "Chiniot", "Ciudad de Panamá", "San Miguelito", "Port Moresby", "Asunción", "Arequipa", "Trujillo", "Chiclayo", "Callao", "Iquitos", "Chimbote", "Huancayo", "Piura", "Cusco", "Pucallpa", "Tacna", "Ica", "Lisboa", "Porto", "San Juan", "Bayamón", "Ponce", "Carolina", "Lódz", "Kraków", "Wroclaw", "Poznan", "Gdansk", "Szczecin", "Bydgoszcz", "Lublin", "Katowice", "Bialystok", "Czestochowa", "Gdynia", "Sosnowiec", "Radom", "Kielce", "Gliwice", "Torun", "Bytom", "Zabrze", "Bielsko-Biala", "Olsztyn", "Rzeszów", "Doha", "Marseille", "Lyon", "Toulouse", "Nice", "Nantes", "Strasbourg", "Montpellier", "Bordeaux", "Rennes", "Le Havre", "Reims", "Lille", "St-Étienne", "Toulon", "Iasi", "Constanta", "Cluj-Napoca", "Galati", "Timisoara", "Brasov", "Craiova", "Ploiesti", "Braila", "Oradea", "Bacau", "Pitesti", "Arad", "Sibiu", "Târgu Mures", "Kigali", "Stockholm", "Gothenburg [Göteborg]", "Malmö", "Uppsala", "Frankfurt am Main", "Essen", "Dortmund", "Stuttgart", "Düsseldorf", "Bremen", "Duisburg", "Hannover", "Leipzig", "Nürnberg", "Dresden", "Bochum", "Wuppertal", "Bielefeld", "Mannheim", "Bonn", "Gelsenkirchen", "Karlsruhe", "Wiesbaden", "Münster", "Mönchengladbach", "Chemnitz", "Augsburg", "Halle/Saale", "Braunschweig", "Aachen", "Krefeld", "Magdeburg", "Kiel", "Oberhausen", "Lübeck", "Hagen", "Rostock", "Freiburg im Breisgau", "Erfurt", "Kassel", "Saarbrücken", "Mainz", "Hamm", "Herne", "Mülheim an der Ruhr", "Solingen", "Osnabrück", "Ludwigshafen am Rhein", "Leverkusen", "Ndola", "Kitwe", "Medina", "al-Dammam", "al-Taif", "Tabuk", "Burayda", "al-Hufuf", "al-Mubarraz", "Khamis Mushayt", "Hail", "Pikine", "Dakar", "Thiès", "Kaolack", "Ziguinchor", "Freetown", "Bratislava", "Košice", "Ljubljana", "Colombo", "Dehiwala", "Moratuwa", "Sharq al-Nil", "Port Sudan", "Kassala", "Obeid", "Nyala", "Wad Madani", "al-Qadarif", "Kusti", "Helsinki [Helsingfors]", "Espoo", "Tampere", "Vantaa", "Turku [Åbo]", "Zürich", "Geneve", "Basel", "Hims", "Hama", "Latakia", "Dushanbe", "Khujand", "Tainan", "Panchiao", "Chungho", "Keelung (Chilung)", "Sanchung", "Hsinchuang", "Hsinchu", "Chungli", "Fengshan", "Taoyuan", "Chiayi", "Hsintien", "Changhwa", "Yungho", "Tucheng", "Pingtung", "Yungkang", "Pingchen", "Tali", "Taiping", "Pate", "Fengyuan", "Luchou", "Dodoma", "Mwanza", "København", "Århus", "Odense", "Aalborg", "Nonthaburi", "Nakhon Ratchasima", "Chiang Mai", "Lomé", "N´Djaména", "Brno", "Ostrava", "Plzen", "Tunis", "Sfax", "Ariana", "Ettadhamen", "Gaziantep", "Konya", "Mersin (Içel)", "Antalya", "Diyarbakir", "Kayseri", "Eskisehir", "Sanliurfa", "Samsun", "Malatya", "Gebze", "Denizli", "Sivas", "Erzurum", "Tarsus", "Kahramanmaras", "Elâzig", "Van", "Sultanbeyli", "Izmit (Kocaeli)", "Manisa", "Batman", "Balikesir", "Sakarya (Adapazari)", "Ashgabat", "Chärjew", "Kampala", "Zaporizzja", "Lviv", "Kryvyi Rig", "Mykolajiv", "Mariupol", "Lugansk", "Vinnytsja", "Makijivka", "Herson", "Sevastopol", "Simferopol", "Pultava [Poltava]", "Tšernigiv", "Tšerkasy", "Gorlivka", "Zytomyr", "Sumy", "Dniprodzerzynsk", "Kirovograd", "Hmelnytskyi", "Tšernivtsi", "Rivne", "Krementšuk", "Ivano-Frankivsk", "Ternopil", "Lutsk", "Bila Tserkva", "Kramatorsk", "Melitopol", "Kertš", "Debrecen", "Miskolc", "Auckland", "Christchurch", "Manukau", "North Shore", "Waitakere", "Wellington", "Namangan", "Samarkand", "Andijon", "Buhoro", "Karsi", "Nukus", "Kükon", "Fargona", "Gomel", "Mogiljov", "Vitebsk", "Grodno", "Brest", "Bobruisk", "Baranovitši", "Barquisimeto", "Valencia", "Ciudad Guayana", "Petare", "Maracay", "Barcelona", "Maturín", "San Cristóbal", "Ciudad Bolívar", "Cumaná", "Mérida", "Cabimas", "Barinas", "Turmero", "Baruta", "Puerto Cabello", "Santa Ana de Coro", "Los Teques", "Punto Fijo", "Guarenas", "Krasnojarsk", "Saratov", "Toljatti", "Uljanovsk", "Izevsk", "Krasnodar", "Jaroslavl", "Habarovsk", "Vladivostok", "Irkutsk", "Barnaul", "Novokuznetsk", "Penza", "Rjazan", "Orenburg", "Lipetsk", "Nabereznyje Tšelny", "Tula", "Tjumen", "Kemerovo", "Astrahan", "Tomsk", "Kirov", "Ivanovo", "Tšeboksary", "Brjansk", "Tver", "Kursk", "Magnitogorsk", "Kaliningrad", "Nizni Tagil", "Murmansk", "Ulan-Ude", "Kurgan", "Arkangeli", "Sotši", "Smolensk", "Orjol", "Stavropol", "Belgorod", "Kaluga", "Vladimir", "Mahatškala", "Tšerepovets", "Saransk", "Tambov", "Vladikavkaz", "Tšita", "Vologda", "Veliki Novgorod", "Komsomolsk-na-Amure", "Kostroma", "Volzski", "Taganrog", "Petroskoi", "Bratsk", "Dzerzinsk", "Surgut", "Orsk", "Sterlitamak", "Angarsk", "Joškar-Ola", "Rybinsk", "Prokopjevsk", "Niznevartovsk", "Naltšik", "Syktyvkar", "Severodvinsk", "Bijsk", "Niznekamsk", "Blagoveštšensk", "Šahty", "Staryi Oskol", "Zelenograd", "Balakovo", "Novorossijsk", "Pihkova", "Zlatoust", "Jakutsk", "Podolsk", "Petropavlovsk-Kamtšatski", "Kamensk-Uralski", "Engels", "Syzran", "Grozny", "Novotšerkassk", "Berezniki", "Juzno-Sahalinsk", "Volgodonsk", "Abakan", "Maikop", "Miass", "Armavir", "Ljubertsy", "Rubtsovsk", "Haiphong", "Da Nang", "Biên Hoa", "Nha Trang", "Hue", "Can Tho", "Cam Pha", "Nam Dinh", "Quy Nhon", "Tallinn", "San Jose", "Indianapolis", "San Francisco", "Jacksonville", "Columbus", "Austin", "Baltimore", "Memphis", "Milwaukee", "Boston", "Washington", "Nashville-Davidson", "El Paso", "Seattle", "Denver", "Charlotte", "Fort Worth", "Portland", "Oklahoma City", "Tucson", "New Orleans", "Las Vegas", "Cleveland", "Long Beach", "Albuquerque", "Kansas City", "Fresno", "Virginia Beach", "Atlanta", "Sacramento", "Oakland", "Mesa", "Tulsa", "Omaha", "Minneapolis", "Honolulu", "Miami", "Colorado Springs", "Saint Louis", "Wichita", "Santa Ana", "Pittsburgh", "Arlington", "Cincinnati", "Anaheim", "Toledo", "Tampa", "Buffalo", "Saint Paul", "Corpus Christi", "Aurora", "Raleigh", "Newark", "Lexington-Fayette", "Anchorage", "Louisville", "Riverside", "Saint Petersburg", "Bakersfield", "Stockton", "Birmingham", "Jersey City", "Norfolk", "Baton Rouge", "Hialeah", "Lincoln", "Greensboro", "Plano", "Rochester", "Glendale", "Akron", "Garland", "Madison", "Fort Wayne", "Fremont", "Scottsdale", "Montgomery", "Shreveport", "Augusta-Richmond County", "Lubbock", "Chesapeake", "Mobile", "Des Moines", "Grand Rapids", "Richmond", "Yonkers", "Spokane", "Glendale", "Tacoma", "Irving", "Huntington Beach", "Modesto", "Durham", "Columbus", "Orlando", "Boise City", "Winston-Salem", "San Bernardino", "Jackson", "Little Rock", "Salt Lake City", "Reno", "Newport News", "Chandler", "Laredo", "Henderson", "Arlington", "Knoxville", "Amarillo", "Providence", "Chula Vista", "Worcester", "Oxnard", "Dayton", "Garden Grove", "Oceanside", "Bulawayo", "Chitungwiza", "Mount Darwin", "Gaza" ], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "city" ], "split": "eval", "question_id": "world_1_eval_116" }, { "question_text": "Give the total population and average surface area corresponding to countries in North America that have a surface area greater than 3000 .", "database_name": "world_1", "gold_sql": "select sum(population) , avg(surfacearea) from country where continent = \"north america\" and surfacearea > 3000", "gold_answer": [ [ null, null ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_117" }, { "question_text": "What is the total population and average area of countries in the continent of North America whose area is bigger than 3000 ?", "database_name": "world_1", "gold_sql": "select sum(population) , avg(surfacearea) from country where continent = \"north america\" and surfacearea > 3000", "gold_answer": [ [ null, null ] ], "answer_type": "table", "difficulty": "easy", "tables_involved": [ "country" ], "split": "eval", "question_id": "world_1_eval_118" }, { "question_text": "What are the countries where either English or Dutch is the official language ?", "database_name": "world_1", "gold_sql": "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\"", "gold_answer": [], "answer_type": "list", "difficulty": "easy", "tables_involved": [ "country", "countrylanguage" ], "split": "eval", "question_id": "world_1_eval_119" } ]