| [ |
| { |
| "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" |
| } |
| ] |
