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int64 0
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stringlengths 18
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stringlengths 20
422
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stringclasses 4
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|---|---|---|---|---|---|
400 | course_teach | [
"teacher",
"course",
"course_arrange"
] | What is the name of each teacher and what course they teach? | SELECT T3.Name , T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID | medium |
401 | course_teach | [
"teacher",
"course",
"course_arrange"
] | Show names of teachers and the courses they are arranged to teach in ascending alphabetical order of the teacher's name. | SELECT T3.Name , T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID ORDER BY T3.Name | hard |
402 | course_teach | [
"teacher",
"course",
"course_arrange"
] | What are the names of the teachers and the courses they teach in ascending alphabetical order by the name of the teacher? | SELECT T3.Name , T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID ORDER BY T3.Name | hard |
403 | course_teach | [
"teacher",
"course",
"course_arrange"
] | Show the name of the teacher for the math course. | SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" | hard |
404 | course_teach | [
"teacher",
"course",
"course_arrange"
] | What are the names of the people who teach math courses? | SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math" | hard |
405 | course_teach | [
"teacher",
"course_arrange"
] | Show names of teachers and the number of courses they teach. | SELECT T2.Name , COUNT(*) FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T2.Name | medium |
406 | course_teach | [
"teacher",
"course_arrange"
] | What are the names of the teachers and how many courses do they teach? | SELECT T2.Name , COUNT(*) FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T2.Name | medium |
407 | course_teach | [
"teacher",
"course_arrange"
] | Show names of teachers that teach at least two courses. | SELECT T2.Name FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T2.Name HAVING COUNT(*) >= 2 | medium |
408 | course_teach | [
"teacher",
"course_arrange"
] | What are the names of the teachers who teach at least two courses? | SELECT T2.Name FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T2.Name HAVING COUNT(*) >= 2 | medium |
409 | course_teach | [
"teacher",
"course_arrange"
] | List the names of teachers who have not been arranged to teach courses. | SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange) | hard |
410 | course_teach | [
"teacher",
"course_arrange"
] | What are the names of the teachers whose courses have not been arranged? | SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange) | hard |
411 | museum_visit | [
"visitor"
] | How many visitors below age 30 are there? | SELECT count(*) FROM visitor WHERE age < 30 | easy |
412 | museum_visit | [
"visitor"
] | Find the names of the visitors whose membership level is higher than 4, and order the results by the level from high to low. | SELECT name FROM visitor WHERE Level_of_membership > 4 ORDER BY Level_of_membership DESC | medium |
413 | museum_visit | [
"visitor"
] | What is the average age of the visitors whose membership level is not higher than 4? | SELECT avg(age) FROM visitor WHERE Level_of_membership <= 4 | easy |
414 | museum_visit | [
"visitor"
] | Find the name and membership level of the visitors whose membership level is higher than 4, and sort by their age from old to young. | SELECT name , Level_of_membership FROM visitor WHERE Level_of_membership > 4 ORDER BY age DESC | medium |
415 | museum_visit | [
"museum"
] | Find the id and name of the museum that has the most staff members? | SELECT museum_id , name FROM museum ORDER BY num_of_staff DESC LIMIT 1 | medium |
416 | museum_visit | [
"museum"
] | Find the average number of staff working for the museums that were open before 2009. | SELECT avg(num_of_staff) FROM museum WHERE open_year < 2009 | easy |
417 | museum_visit | [
"museum"
] | What are the opening year and staff number of the museum named Plaza Museum? | SELECT Num_of_Staff , Open_Year FROM museum WHERE name = 'Plaza Museum' | medium |
418 | museum_visit | [
"museum"
] | find the names of museums which have more staff than the minimum staff number of all museums opened after 2010. | SELECT name FROM museum WHERE num_of_staff > (SELECT min(num_of_staff) FROM museum WHERE open_year > 2010) | hard |
419 | museum_visit | [
"visit",
"visitor"
] | find the id, name and age for visitors who visited some museums more than once. | SELECT t1.id , t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t1.id HAVING count(*) > 1 | medium |
420 | museum_visit | [
"visit",
"visitor"
] | What are the id, name and membership level of visitors who have spent the largest amount of money in total in all museum tickets? | SELECT t2.visitor_id , t1.name , t1.Level_of_membership FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t2.visitor_id ORDER BY sum(t2.Total_spent) DESC LIMIT 1 | extra |
421 | museum_visit | [
"visit",
"museum"
] | What are the id and name of the museum visited most times? | SELECT t2.Museum_ID , t1.name FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID GROUP BY t2.Museum_ID ORDER BY count(*) DESC LIMIT 1 | extra |
422 | museum_visit | [
"visit",
"museum"
] | What is the name of the museum that had no visitor yet? | SELECT name FROM museum WHERE Museum_ID NOT IN (SELECT museum_id FROM visit) | hard |
423 | museum_visit | [
"visit",
"visitor"
] | Find the name and age of the visitor who bought the most tickets at once. | SELECT t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id ORDER BY t2.num_of_ticket DESC LIMIT 1 | hard |
424 | museum_visit | [
"visit"
] | What are the average and maximum number of tickets bought in all visits? | SELECT avg(num_of_ticket) , max(num_of_ticket) FROM visit | medium |
425 | museum_visit | [
"visit",
"visitor"
] | What is the total ticket expense of the visitors whose membership level is 1? | SELECT sum(t2.Total_spent) FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id WHERE t1.Level_of_membership = 1 | medium |
426 | museum_visit | [
"visit",
"visitor",
"museum"
] | What is the name of the visitor who visited both a museum opened before 2009 and a museum opened after 2011? | SELECT t1.name FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id JOIN museum AS t3 ON t3.Museum_ID = t2.Museum_ID WHERE t3.open_year < 2009 INTERSECT SELECT t1.name FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id JOIN museum AS t3 ON t3.Museum_ID = t2.Museum_ID WHERE t3.open_year > 2011 | extra |
427 | museum_visit | [
"visit",
"visitor",
"museum"
] | Find the number of visitors who did not visit any museum opened after 2010. | SELECT count(*) FROM visitor WHERE id NOT IN (SELECT t2.visitor_id FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID WHERE t1.open_year > 2010) | extra |
428 | museum_visit | [
"museum"
] | How many museums were opened after 2013 or before 2008? | SELECT count(*) FROM museum WHERE open_year > 2013 OR open_year < 2008 | medium |
429 | wta_1 | [
"players"
] | Find the total number of players. | SELECT count(*) FROM players | easy |
430 | wta_1 | [
"players"
] | How many players are there? | SELECT count(*) FROM players | easy |
431 | wta_1 | [
"matches"
] | Find the total number of matches. | SELECT count(*) FROM matches | easy |
432 | wta_1 | [
"matches"
] | Count the number of matches. | SELECT count(*) FROM matches | easy |
433 | wta_1 | [
"players"
] | List the first name and birth date of all players from the country with code USA. | SELECT first_name , birth_date FROM players WHERE country_code = 'USA' | medium |
434 | wta_1 | [
"players"
] | What are the first names and birth dates of players from the USA? | SELECT first_name , birth_date FROM players WHERE country_code = 'USA' | medium |
435 | wta_1 | [
"matches"
] | Find the average age of losers and winners of all matches. | SELECT avg(loser_age) , avg(winner_age) FROM matches | medium |
436 | wta_1 | [
"matches"
] | What are the average ages of losers and winners across matches? | SELECT avg(loser_age) , avg(winner_age) FROM matches | medium |
437 | wta_1 | [
"matches"
] | Find the average rank of winners in all matches. | SELECT avg(winner_rank) FROM matches | easy |
438 | wta_1 | [
"matches"
] | What is the average rank for winners in all matches? | SELECT avg(winner_rank) FROM matches | easy |
439 | wta_1 | [
"matches"
] | Find the highest rank of losers in all matches. | SELECT min(loser_rank) FROM matches | easy |
440 | wta_1 | [
"matches"
] | What is the best rank of losers across all matches? | SELECT min(loser_rank) FROM matches | easy |
441 | wta_1 | [
"players"
] | find the number of distinct country codes of all players. | SELECT count(DISTINCT country_code) FROM players | easy |
442 | wta_1 | [
"players"
] | How many distinct countries do players come from? | SELECT count(DISTINCT country_code) FROM players | easy |
443 | wta_1 | [
"matches"
] | Find the number of distinct name of losers. | SELECT count(DISTINCT loser_name) FROM matches | easy |
444 | wta_1 | [
"matches"
] | How many different loser names are there? | SELECT count(DISTINCT loser_name) FROM matches | easy |
445 | wta_1 | [
"matches"
] | Find the name of tourney that has more than 10 matches. | SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10 | easy |
446 | wta_1 | [
"matches"
] | What are the names of tournaments that have more than 10 matches? | SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10 | easy |
447 | wta_1 | [
"matches"
] | List the names of all winners who played in both 2013 and 2016. | SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 | hard |
448 | wta_1 | [
"matches"
] | What are the names of players who won in both 2013 and 2016? | SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016 | hard |
449 | wta_1 | [
"matches"
] | List the number of all matches who played in years of 2013 or 2016. | SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016 | medium |
450 | wta_1 | [
"matches"
] | How many matches were played in 2013 or 2016? | SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016 | medium |
451 | wta_1 | [
"players",
"matches"
] | What are the country code and first name of the players who won in both tourney WTA Championships and Australian Open? | SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' | extra |
452 | wta_1 | [
"players",
"matches"
] | What are the first names and country codes for players who won both the WTA Championships and the Australian Open? | SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open' | extra |
453 | wta_1 | [
"players"
] | Find the first name and country code of the oldest player. | SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 | medium |
454 | wta_1 | [
"players"
] | What is the first name and country code of the oldest player? | SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1 | medium |
455 | wta_1 | [
"players"
] | List the first and last name of all players in the order of birth date. | SELECT first_name , last_name FROM players ORDER BY birth_date | medium |
456 | wta_1 | [
"players"
] | What are the full names of all players, sorted by birth date? | SELECT first_name , last_name FROM players ORDER BY birth_date | medium |
457 | wta_1 | [
"players"
] | List the first and last name of all players who are left / L hand in the order of birth date. | SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date | medium |
458 | wta_1 | [
"players"
] | What are the full names of all left handed players, in order of birth date? | SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date | medium |
459 | wta_1 | [
"rankings",
"players"
] | Find the first name and country code of the player who did the most number of tours. | SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id ORDER BY T2.tours DESC LIMIT 1 | hard |
460 | wta_1 | [
"rankings",
"players"
] | What is the first name and country code of the player with the most tours? | SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id ORDER BY T2.tours DESC LIMIT 1 | hard |
461 | wta_1 | [
"matches"
] | Find the year that has the most number of matches. | SELECT YEAR FROM matches GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1 | hard |
462 | wta_1 | [
"matches"
] | Which year had the most matches? | SELECT YEAR FROM matches GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1 | hard |
463 | wta_1 | [
"matches"
] | Find the name and rank points of the winner who won the most times. | SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1 | hard |
464 | wta_1 | [
"matches"
] | What is the name of the winner who has won the most matches, and how many rank points does this player have? | SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1 | hard |
465 | wta_1 | [
"matches"
] | Find the name of the winner who has the highest rank points and participated in the Australian Open tourney. | SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 | hard |
466 | wta_1 | [
"matches"
] | What is the name of the winner with the most rank points who participated in the Australian Open tournament? | SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1 | hard |
467 | wta_1 | [
"matches"
] | find the names of loser and winner who played in the match with greatest number of minutes. | SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1 | medium |
468 | wta_1 | [
"matches"
] | What are the names of the winner and loser who played in the longest match? | SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1 | medium |
469 | wta_1 | [
"rankings",
"players"
] | Find the average ranking for each player and their first name. | SELECT avg(ranking) , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name | medium |
470 | wta_1 | [
"rankings",
"players"
] | What are the first names of all players, and their average rankings? | SELECT avg(ranking) , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name | medium |
471 | wta_1 | [
"rankings",
"players"
] | Find the total ranking points for each player and their first name. | SELECT sum(ranking_points) , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name | medium |
472 | wta_1 | [
"rankings",
"players"
] | What are the first names of all players, and their total ranking points? | SELECT sum(ranking_points) , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name | medium |
473 | wta_1 | [
"players"
] | find the number of players for each country. | SELECT count(*) , country_code FROM players GROUP BY country_code | medium |
474 | wta_1 | [
"players"
] | How many players are from each country? | SELECT count(*) , country_code FROM players GROUP BY country_code | medium |
475 | wta_1 | [
"players"
] | find the code of the country where has the greatest number of players. | SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1 | hard |
476 | wta_1 | [
"players"
] | What is the code of the country with the most players? | SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1 | hard |
477 | wta_1 | [
"players"
] | Find the codes of countries that have more than 50 players. | SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50 | easy |
478 | wta_1 | [
"players"
] | What are the codes of countries with more than 50 players? | SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50 | easy |
479 | wta_1 | [
"rankings"
] | Find the total number of tours for each ranking date. | SELECT sum(tours) , ranking_date FROM rankings GROUP BY ranking_date | medium |
480 | wta_1 | [
"rankings"
] | How many total tours were there for each ranking date? | SELECT sum(tours) , ranking_date FROM rankings GROUP BY ranking_date | medium |
481 | wta_1 | [
"matches"
] | Find the number of matches happened in each year. | SELECT count(*) , YEAR FROM matches GROUP BY YEAR | medium |
482 | wta_1 | [
"matches"
] | How many matches were played in each year? | SELECT count(*) , YEAR FROM matches GROUP BY YEAR | medium |
483 | wta_1 | [
"matches"
] | Find the name and rank of the 3 youngest winners across all matches. | SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3 | medium |
484 | wta_1 | [
"matches"
] | What are the names and ranks of the three youngest winners across all matches? | SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3 | medium |
485 | wta_1 | [
"matches"
] | How many different winners both participated in the WTA Championships and were left handed? | SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' | medium |
486 | wta_1 | [
"matches"
] | Find the number of left handed winners who participated in the WTA Championships. | SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L' | medium |
487 | wta_1 | [
"players",
"matches"
] | Find the first name, country code and birth date of the winner who has the highest rank points in all matches. | SELECT T1.first_name , T1.country_code , T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id ORDER BY T2.winner_rank_points DESC LIMIT 1 | hard |
488 | wta_1 | [
"players",
"matches"
] | What is the first name, country code, and birth date of the player with the most winner rank points across all matches? | SELECT T1.first_name , T1.country_code , T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id ORDER BY T2.winner_rank_points DESC LIMIT 1 | hard |
489 | wta_1 | [
"players"
] | Find the number of players for each hand type. | SELECT count(*) , hand FROM players GROUP BY hand | medium |
490 | wta_1 | [
"players"
] | How many players are there for each hand type? | SELECT count(*) , hand FROM players GROUP BY hand | medium |
491 | battle_death | [
"ship"
] | How many ships ended up being 'Captured'? | SELECT count(*) FROM ship WHERE disposition_of_ship = 'Captured' | easy |
492 | battle_death | [
"ship"
] | List the name and tonnage ordered by in descending alphaetical order for the names. | SELECT name , tonnage FROM ship ORDER BY name DESC | medium |
493 | battle_death | [
"battle"
] | List the name, date and result of each battle. | SELECT name , date FROM battle | medium |
494 | battle_death | [
"death"
] | What is maximum and minimum death toll caused each time? | SELECT max(killed) , min(killed) FROM death | medium |
495 | battle_death | [
"death"
] | What is the average number of injuries caused each time? | SELECT avg(injured) FROM death | easy |
496 | battle_death | [
"ship",
"death"
] | What are the death and injury situations caused by the ship with tonnage 't'? | SELECT T1.killed , T1.injured FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id WHERE T2.tonnage = 't' | medium |
497 | battle_death | [
"battle"
] | What are the name and results of the battles when the bulgarian commander is not 'Boril' | SELECT name , RESULT FROM battle WHERE bulgarian_commander != 'Boril' | medium |
498 | battle_death | [
"battle",
"ship"
] | What are the different ids and names of the battles that lost any 'Brig' type shipes? | SELECT DISTINCT T1.id , T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.ship_type = 'Brig' | medium |
499 | battle_death | [
"death",
"battle",
"ship"
] | What are the ids and names of the battles that led to more than 10 people killed in total. | SELECT T1.id , T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle JOIN death AS T3 ON T2.id = T3.caused_by_ship_id GROUP BY T1.id HAVING sum(T3.killed) > 10 | hard |
Subsets and Splits