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1,205 | thrombosis_prediction | Was the patient with the number 57266's uric acid within a normal range? | uric acid within a normal range refers to UA > 8.0 and SEX = 'M'OR UA > 6.5 and SEX = 'F' | SELECT CASE WHEN (T1.SEX = 'F' AND T2.UA > 6.5) OR (T1.SEX = 'M' AND T2.UA > 8.0) THEN true ELSE false END FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.ID = 57266 | moderate |
1,208 | thrombosis_prediction | Provide IDs for male patients with ALT glutamic pylvic transaminase (GPT) that have history of ALT glutamic pylvic transaminase (GPT) exceed the normal range. | male refers to SEX = 'M'; ALT glutamic pylvic transaminase (GPT) exceed the normal range refers to GPT > = 60 | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'M' AND T2.GPT >= 60 | moderate |
1,209 | thrombosis_prediction | Please provide the diagnosis of patients with ALT glutamic pylvic transaminase beyond the normal range by ascending order of their date of birth. | ALT glutamic pylvic transaminase beyond the normal range refers to GPT > 60; The larger the birthday value, the younger the person is, and vice versa; | SELECT DISTINCT T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GPT > 60 ORDER BY T1.Birthday ASC | moderate |
1,220 | thrombosis_prediction | Provide all ID, sex and birthday of patients whose urea nitrogen (UN) just within the borderline of passing? | urea nitrogen (UN) just within the borderline of passing refers to UN = 29; | SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UN = 29 | simple |
1,225 | thrombosis_prediction | List and group all patients by sex for total bilirubin (T-BIL) level not within the normal range. | List refers to GROUP_CONCAT(DISTINCT ID); total bilirubin (T-BIL) not within normal range refers to T-BIL > = 2.0 | SELECT T1.ID,T1.SEX FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.`T-BIL` >= 2.0 GROUP BY T1.SEX,T1.ID | moderate |
1,227 | thrombosis_prediction | What is the average age of the male patient with high cholesterol? | average age = DIVIDE(SUM(SUBTRACT(YEAR(NOW()), YEAR(birthday))), COUNT(ID)); male patient refers to sex = 'M'; high cholesterol refers to `T-CHO` > = 250; | SELECT AVG(STRFTIME('%Y', date('NOW')) - STRFTIME('%Y', T1.Birthday)) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.`T-CHO` >= 250 AND T1.SEX = 'M' | moderate |
1,229 | thrombosis_prediction | For all patients with triglyceride (TG) level beyond the normal range, how many are age more than 50 years? | triglyceride (TG) level beyond the normal range refers to TG > = 200; more than 50 years of age = SUBTRACT(year(current_timestamp), year(Birthday)) > 50; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TG >= 200 AND STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) > 50 | moderate |
1,231 | thrombosis_prediction | For patient born between 1936-1956, how many male patients have creatinine phosphokinase beyond the normal range? | born between 1936-1956 refers to year(Birthday) BETWEEN '1936' AND '1956'; male patients refers to sex = 'M'; creatinine phosphokinase beyond the normal range refers to CPK > = 250; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) BETWEEN '1936' AND '1956' AND T1.SEX = 'M' AND T2.CPK >= 250 | challenging |
1,232 | thrombosis_prediction | Provide ID, sex and age of patient who has blood glucose (GLU) not within normal range but with total cholesterol(T-CHO) within normal range. | age = SUBTRACT(year(current_timestamp), year(Birthday)); blood glucose (GLU) not within normal range refers to GLU > = 180; total cholesterol(T-CHO) within normal range refers to `T-CHO` < 250; | SELECT DISTINCT T1.ID, T1.SEX , STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GLU >= 180 AND T2.`T-CHO` < 250 | challenging |
1,235 | thrombosis_prediction | What are the patient's diagnosis for those who has lower red blood blood cell? State their ID and age. | patient's diagnosis refers to Diagnosis; lower red blood cell refers to RBC < 3.5; age = SUBTRACT(year(current_timestamp), year(Birthday)); | SELECT DISTINCT T1.Diagnosis, T1.ID , STRFTIME('%Y', CURRENT_TIMESTAMP) -STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.RBC < 3.5 | moderate |
1,238 | thrombosis_prediction | Among the patients who were diagnosed with SLE, who is the oldest with normal hemoglobin level. Provide the ID and sex. | diagnosed with SLE refers to Diagnosis = 'SLE'; The larger the birthday value, the younger the person is, and vice versa; normal hemoglobin level refers to 10 < HGB < 17; | SELECT T1.ID, T1.SEX FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'SLE' AND T2.HGB > 10 AND T2.HGB < 17 ORDER BY T1.Birthday ASC LIMIT 1 | moderate |
1,239 | thrombosis_prediction | Name the ID and age of patient with two or more laboratory examinations which show their hematoclit level exceeded the normal range. | age = SUBTRACT(year(current_timestamp), year(Birthday)); patient with two or more laboratory examinations refers to COUNT(ID) > 2; hematoclit level exceeded the normal range refers to HCT > = 52; | SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.ID IN ( SELECT ID FROM Laboratory WHERE HCT >= 52 GROUP BY ID HAVING COUNT(ID) >= 2 ) | challenging |
1,241 | thrombosis_prediction | For patients with abnormal platelet level, state the number of patients with lower than normal range. How is it compare to the number of patients with higher than normal range? | abnormal platelet level refers to PLT <= 100 or PLT >= 400; platelet level lower than normal range refers to PLT < 100; calculation = SUBTRACT(SUM(PLT < 100), SUM(PLT > 400)); platelet level higher than normal range refers to PLT > 400; | SELECT SUM(CASE WHEN T2.PLT <= 100 THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.PLT >= 400 THEN 1 ELSE 0 END) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID | challenging |
1,242 | thrombosis_prediction | For laboratory examinations take in 1984, list all patients below 50 years old with normal platelet level. | laboratory examinations take in 1984 refers to YEAR(Date) = '1984'; below 50 years old = SUBTRACT(year(current_timestamp), year(Birthday)) < 50; normal platelet level refers to PLT between 100 and 400; | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PLT BETWEEN 100 AND 400 AND STRFTIME('%Y', T2.Date) - STRFTIME('%Y', T1.Birthday) < 50 AND STRFTIME('%Y', T2.Date) = '1984' | challenging |
1,243 | thrombosis_prediction | For all patients who are older than 55 years old, what is the percentage of female who has abnormal prothrombin time (PT)? | older than 55 years old = SUBTRACT(year(current_timestamp), year(Birthday)) > 55; abnormal prothrombin time (PT) refers to PT > = 14; percentage = DIVIDE(SUM(PT > = 14 AND SEX = 'F'), SUM(PT > = 14)) * 100; female refers to sex = 'F'; | SELECT CAST(SUM(CASE WHEN T2.PT >= 14 AND T1.SEX = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(CASE WHEN T2.PT >= 14 THEN 1 ELSE 0 END) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) > 55 | challenging |
1,247 | thrombosis_prediction | Among the male patients who have a normal level of white blood cells, how many of them have an abnormal fibrinogen level? | male patients refers to Sex = 'M'; normal level of white blood cells refers to WBC > 3.5 and WBC <9.0; abnormal fibrinogen level refers to FG < = 150 or FG > = 450; Don't compute repetitive ones. | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.FG <= 150 OR T2.FG >= 450 AND T2.WBC > 3.5 AND T2.WBC < 9.0 AND T1.SEX = 'M' | challenging |
1,251 | thrombosis_prediction | How many patients with an Ig G higher than normal? | Ig G higher than normal refers to IGG >= 2000; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T3.ID = T2.ID WHERE T2.IGG >= 2000 | simple |
1,252 | thrombosis_prediction | Among the patients with a normal Ig G level, how many of them have symptoms? | normal Ig G level refers to IGG > 900 and IGG < 2000; have symptoms refers to Symptoms IS NOT NULL; | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T3.ID = T2.ID WHERE T2.IGG BETWEEN 900 AND 2000 AND T3.Symptoms IS NOT NULL | moderate |
1,254 | thrombosis_prediction | How many patients with a normal Ig A level came to the hospital after 1990/1/1? | normal Ig A level refers to IGA > 80 AND IGA < 500; came to the hospital after 1990/1/1 refers to YEAR(`First Date`) > = 1990; | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.IGA BETWEEN 80 AND 500 AND strftime('%Y', T1.`First Date`) > '1990' | moderate |
1,255 | thrombosis_prediction | For the patients with an abnormal Ig M level, what is the most common disease they are diagnosed with? | abnormal Ig M level refers to IGM <=40 OR IGM >= 400; most common disease refers to MAX(COUNT(Diagnosis)); | SELECT T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.IGM NOT BETWEEN 40 AND 400 GROUP BY T1.Diagnosis ORDER BY COUNT(T1.Diagnosis) DESC LIMIT 1 | moderate |
1,256 | thrombosis_prediction | How many patients with a abnormal C-reactive protein don't have their data recorded? | abnormal C-reactive protein refers to CRP ='+'; don't have data recorded refers to Description IS NULL; | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE (T2.CRP = '+' ) AND T1.Description IS NULL | moderate |
1,257 | thrombosis_prediction | Among the patients whose creatinine level is abnormal, how many of them aren't 70 yet? | creatinine level is abnormal refers to CRE >= 1.5; aren't 70 yet refers to SUBTRACT((YEAR(CURDATE()), YEAR(Birthday))) < 70; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.CRE >= 1.5 AND STRFTIME('%Y', Date('now')) - STRFTIME('%Y', T1.Birthday) < 70 | challenging |
1,265 | thrombosis_prediction | How many patients have a normal level of anti-ribonuclear protein and have been admitted to the hospital? | normal level of anti-ribonuclear protein refers to RNP = '-', '+-'; And'-' means 'negative'; '+-' refers to '0'; admitted to the hospital refers to Admission = '+'; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.RNP = 'negative' OR T2.RNP = '0' AND T1.Admission = '+' | moderate |
1,267 | thrombosis_prediction | Among the patients with normal anti-SM, how many of them does not have thrombosis? | normal anti-SM refers to SM IN('-', '+-'); SM = 'negative' means '-'; SM = '0' means '+-'; SM = '1' means '+'; does not have thrombosis refers to Thrombosis = 0; | SELECT COUNT(T1.ID) FROM Examination AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.SM IN ('negative','0') AND T1.Thrombosis = 0 | moderate |
1,270 | thrombosis_prediction | Among the patients who has a normal anti-scl70, how many of them are female and does not have any symptom? | normal anti-scl70 refers to SC170 IN('negative', '0'); female refers to Sex = 'F'; does not have any symptom refers to symptoms IS NULL; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T3.ID = T2.ID WHERE (T2.SC170 = 'negative' OR T2.SC170 = '0') AND T1.SEX = 'F' AND T3.Symptoms IS NULL | challenging |
1,275 | thrombosis_prediction | Among the patients who has a normal level of anti-centromere and a normal level of anti-SSB, how many of them are male? | normal level of anti-centromere refers to CENTROMEA IN('-', '+-'); normal level of anti-SSB refers to SSB IN('-', '+-'); male refers to Sex = 'M'; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.CENTROMEA IN ('negative', '0') AND T2.SSB IN ('negative', '0') AND T1.SEX = 'M' | moderate |
1,281 | thrombosis_prediction | Among the patients who have an abnormal level of glutamic oxaloacetic transaminase, when was the youngest of them born? | abnormal level of glutamic oxaloacetic transaminase refers to GOT > = 60; The larger the birthday value, the younger the person is, and vice versa; | SELECT T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GOT >= 60 ORDER BY T1.Birthday DESC LIMIT 1 | moderate |
1,302 | thrombosis_prediction | For the patients with a normal range of creatinine phosphokinase, how many of them have a positive measure of degree of coagulation? | normal range of creatinine phosphokinase refers to CPK < 250; positive measure of degree of coagulation refers to KCT = '+' or RVVT = '+' or LAC = '+' ; | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.CPK < 250 AND (T3.KCT = '+' OR T3.RVVT = '+' OR T3.LAC = '+') | challenging |
1,025 | european_football_2 | Give the name of the league had the most goals in the 2016 season? | league that had the most goals refers to MAX(SUM(home_team_goal, away_team_goal)); 2016 season refers to season = '2015/2016'; | SELECT t2.name FROM Match AS t1 INNER JOIN League AS t2 ON t1.league_id = t2.id WHERE t1.season = '2015/2016' GROUP BY t2.name ORDER BY SUM(t1.home_team_goal + t1.away_team_goal) DESC LIMIT 1 | moderate |
1,028 | european_football_2 | In Scotland Premier League, which away team won the most during the 2010 season? | Final result should return the Team.team_long_name; Scotland Premier League refers to League.name = 'Scotland Premier League'; away team refers to away_team_api_id; away team that won the most refers to MAX(SUBTRACT(away_team_goal, home_team_goal) > 0); 2010 season refers to season = '2009/2010'; won the most refers to MAX(COUNT(*)); | SELECT teamInfo.team_long_name FROM League AS leagueData INNER JOIN Match AS matchData ON leagueData.id = matchData.league_id INNER JOIN Team AS teamInfo ON matchData.away_team_api_id = teamInfo.team_api_id WHERE leagueData.name = 'Scotland Premier League' AND matchData.season = '2009/2010' AND matchData.away_team_goal - matchData.home_team_goal > 0 GROUP BY matchData.away_team_api_id ORDER BY COUNT(*) DESC LIMIT 1 | challenging |
1,029 | european_football_2 | What are the speed in which attacks are put together of the top 4 teams with the highest build Up Play Speed? | speed in which attacks are put together refers to buildUpPlaySpeed;highest build up play speed refers to MAX(buildUpPlaySpeed) | SELECT t1.buildUpPlaySpeed FROM Team_Attributes AS t1 INNER JOIN Team AS t2 ON t1.team_api_id = t2.team_api_id ORDER BY t1.buildUpPlaySpeed ASC LIMIT 4 | moderate |
1,030 | european_football_2 | Give the name of the league had the most matches end as draw in the 2016 season? | most matches end as draw refers to MAX(SUM(home_team_goal = away_team_goal)); 2016 season refers to season = '2015/2016'; | SELECT t2.name FROM Match AS t1 INNER JOIN League AS t2 ON t1.league_id = t2.id WHERE t1.season = '2015/2016' AND t1.home_team_goal = t1.away_team_goal GROUP BY t2.name ORDER BY COUNT(t1.id) DESC LIMIT 1 | moderate |
1,031 | european_football_2 | At present, calculate for the player's age who have a sprint speed of no less than 97 between 2013 to 2015. | players age at present = SUBTRACT((DATETIME(), birthday)); sprint speed of no less than 97 refers to sprint_speed > = 97; between 2013 to 2015 refers to YEAR(date) > = '2013' AND YEAR(date) < = '2015'; | SELECT DISTINCT DATETIME() - T2.birthday age FROM Player_Attributes AS t1 INNER JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.`date`) >= '2013' AND STRFTIME('%Y',t1.`date`) <= '2015' AND t1.sprint_speed >= 97 | challenging |
1,032 | european_football_2 | Give the name of the league with the highest matches of all time and how many matches were played in the said league. | league with highest matches of all time refers to MAX(COUNT(league_id)); | SELECT t2.name, t1.max_count FROM League AS t2 JOIN (SELECT league_id, MAX(cnt) AS max_count FROM (SELECT league_id, COUNT(id) AS cnt FROM Match GROUP BY league_id) AS subquery) AS t1 ON t1.league_id = t2.id | moderate |
1,035 | european_football_2 | Give the team_fifa_api_id of teams with more than 50 but less than 60 build-up play speed. | teams with more than 50 but less than 60 build-up play speed refers to buildUpPlaySpeed >50 AND buildUpPlaySpeed <60; | SELECT DISTINCT team_fifa_api_id FROM Team_Attributes WHERE buildUpPlaySpeed > 50 AND buildUpPlaySpeed < 60 | simple |
1,036 | european_football_2 | List the long name of teams with above-average build-up play passing in 2012. | long name of teams refers to team_long_name; build-up play passing refers to buildUpPlayPassing; above-average build-up play passing = buildUpPlayPassing > DIVIDE(SUM(buildUpPlayPassing), COUNT(team_long_name) WHERE buildUpPlayPassing IS NOT NULL); in 2012 refers to strftime('%Y', date) = '2012'; | SELECT DISTINCT t4.team_long_name FROM Team_Attributes AS t3 INNER JOIN Team AS t4 ON t3.team_api_id = t4.team_api_id WHERE SUBSTR(t3.`date`, 1, 4) = '2012' AND t3.buildUpPlayPassing > ( SELECT CAST(SUM(t2.buildUpPlayPassing) AS REAL) / COUNT(t1.id) FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE STRFTIME('%Y',t2.`date`) = '2012') | challenging |
1,037 | european_football_2 | Calculate the percentage of players who prefer left foot, who were born between 1987 and 1992. | players who prefer left foot refers to preferred_foot = 'left'; percentage of players who prefer left foot = DIVIDE(MULTIPLY((SUM(preferred_foot = 'left'), 100)), COUNT(player_fifa_api_id)); born between 1987 and 1992 refers to YEAR(birthday) BETWEEN '1987' AND '1992'; | SELECT CAST(COUNT(CASE WHEN t2.preferred_foot = 'left' THEN t1.id ELSE NULL END) AS REAL) * 100 / COUNT(t1.id) percent FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t1.birthday, 1, 4) BETWEEN '1987' AND '1992' | challenging |
1,039 | european_football_2 | Find the average number of long-shot done by Ahmed Samir Farag. | average number of long shot = DIVIDE(SUM(long_shots), COUNT(player_fifa_api_id)); | SELECT CAST(SUM(t2.long_shots) AS REAL) / COUNT(t2.`date`) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Ahmed Samir Farag' | simple |
1,040 | european_football_2 | List the top 10 players' names whose heights are above 180 in descending order of average heading accuracy. | heights are above 180 refers to Player.height > 180; average heading accuracy = DIVIDE(SUM(heading_accuracy), COUNT(player_fifa_api_id)); | SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height > 180 GROUP BY t1.id ORDER BY CAST(SUM(t2.heading_accuracy) AS REAL) / COUNT(t2.`player_fifa_api_id`) DESC LIMIT 10 | moderate |
1,042 | european_football_2 | List the name of leagues in which the average goals by the home team is higher than the away team in the 2009/2010 season. | name of league refers to League.name; average goals by the home team is higher than the away team = AVG(home_team_goal) > AVG(away_team_goal); AVG(xx_goal) = SUM(xx_goal) / COUNT(DISTINCT Match.id); 2009/2010 season refers to season = '2009/2010' | SELECT t1.name FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2009/2010' GROUP BY t1.name HAVING (CAST(SUM(t2.home_team_goal) AS REAL) / COUNT(DISTINCT t2.id)) - (CAST(SUM(t2.away_team_goal) AS REAL) / COUNT(DISTINCT t2.id)) > 0 | challenging |
1,044 | european_football_2 | List the football players with a birthyear of 1970 and a birthmonth of October. | players with a birthyear of 1970 and a birthmonth of October refers to substr(birthday,1,7) AS 'year-month',WHERE year = '1970' AND month = '10'; | SELECT player_name FROM Player WHERE SUBSTR(birthday, 1, 7) = '1970-10' | simple |
1,048 | european_football_2 | What is the overall rating of the football player Gabriel Tamas in year 2011? | in year 2011 refers to strftime('%Y', date) = '2011'; | SELECT t2.overall_rating FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Gabriel Tamas' AND strftime('%Y', t2.date) = '2011' | simple |
1,057 | european_football_2 | Calculate the average home team goal in the 2010/2011 season in the country of Poland. | average home team goal = AVG(home_team_goal)= SUM(home_team_goal) / COUNT(DISTINCT Match.id) WHERE name = 'Poland' and season = '2010/2011'; | SELECT CAST(SUM(t2.home_team_goal) AS REAL) / COUNT(t2.id) FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id WHERE t1.name = 'Poland' AND t2.season = '2010/2011' | moderate |
1,058 | european_football_2 | Who has the highest average finishing rate between the highest and shortest football player? | finishing rate refers to finishing; highest average finishing rate = MAX(AVG(finishing)); highest football player refers to MAX(height); shortest football player refers to MIN(height); | SELECT A FROM ( SELECT AVG(finishing) result, 'Max' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id WHERE T1.height = ( SELECT MAX(height) FROM Player ) UNION SELECT AVG(finishing) result, 'Min' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id WHERE T1.height = ( SELECT MIN(height) FROM Player ) ) ORDER BY result DESC LIMIT 1 | challenging |
1,068 | european_football_2 | From 2010 to 2015, what was the average overall rating of players who are higher than 170? | from 2010 to 2015 refers to strftime('%Y', date) >= '2010' AND <= '2015'; average overall rating = SUM(t2.overall_rating)/ COUNT(t2.id); higher than 170 refers to Player.height > 170; | SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height > 170 AND STRFTIME('%Y',t2.`date`) >= '2010' AND STRFTIME('%Y',t2.`date`) <= '2015' | moderate |
1,076 | european_football_2 | What is the difference of the average ball control score between Abdou Diallo and Aaron Appindangoye
? | difference of the average ball control = SUBTRACT(AVG(ball_control WHERE player_name = 'Abdou Diallo'), AVG(ball_control WHERE player_name = 'Aaron Appindangoye')); AVG(ball_control WHERE player_name = 'XX XX') = SUM(CASE WHEN player_name = 'XX XX' THEN ball_control ELSE 0 END) / COUNT(CASE WHEN player_name = 'XX XX' THEN id ELSE NULL END) | SELECT CAST(SUM(CASE WHEN t1.player_name = 'Abdou Diallo' THEN t2.ball_control ELSE 0 END) AS REAL) / COUNT(CASE WHEN t1.player_name = 'Abdou Diallo' THEN t2.id ELSE NULL END) - CAST(SUM(CASE WHEN t1.player_name = 'Aaron Appindangoye' THEN t2.ball_control ELSE 0 END) AS REAL) / COUNT(CASE WHEN t1.player_name = 'Aaron Appindangoye' THEN t2.id ELSE NULL END) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id | challenging |
1,078 | european_football_2 | Which player is older, Aaron Lennon or Abdelaziz Barrada? | The larger the birthday value, the younger the person is, and vice versa; | SELECT player_name FROM Player WHERE player_name IN ('Aaron Lennon', 'Abdelaziz Barrada') ORDER BY birthday ASC LIMIT 1 | simple |
1,079 | european_football_2 | Which player is the tallest? | tallest player refers to MAX(height); | SELECT player_name FROM Player ORDER BY height DESC LIMIT 1 | simple |
1,080 | european_football_2 | Among the players whose preferred foot was the left foot when attacking, how many of them would remain in his position when the team attacked? | preferred foot when attacking was the left refers to preferred_foot = 'left'; players who would remain in his position when the team attacked refers to attacking_work_rate = 'low'; | SELECT COUNT(player_api_id) FROM Player_Attributes WHERE preferred_foot = 'left' AND attacking_work_rate = 'low' | moderate |
1,084 | european_football_2 | Among the players born before the year 1986, how many of them would remain in his position and defense while the team attacked? | players born before the year 1986 refers to strftime('%Y', birthday)<'1986'; players who would remain in his position and defense while the team attacked refers to defensive_work_rate = 'high'; Should consider DISTINCT in the final result; | SELECT COUNT(DISTINCT t1.player_name) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.birthday) < '1986' AND t2.defensive_work_rate = 'high' | challenging |
1,088 | european_football_2 | Please list the names of the players whose volley score and dribbling score are over 70. | volley score are over 70 refers to volleys > 70; dribbling score refers to dribbling are over 70 refers to dribbling > 70; | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.volleys > 70 AND t2.dribbling > 70 | moderate |
1,091 | european_football_2 | How many matches were held in the Belgium Jupiler League in April, 2009? | Belgium Jupiler League refers to League.name = 'Belgium Jupiler League'; in April, 2009 refers to SUBSTR(`date`, 1, 7); | SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Belgium Jupiler League' AND SUBSTR(t2.`date`, 1, 7) = '2009-04' | moderate |
1,092 | european_football_2 | Give the name of the league had the most matches in the 2008/2009 season? | league that had the most matches in the 2008/2009 season refers to MAX(league_name WHERE season = '2008/2009'); | SELECT t1.name FROM League AS t1 JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2008/2009' GROUP BY t1.name HAVING COUNT(t2.id) = (SELECT MAX(match_count) FROM (SELECT COUNT(t2.id) AS match_count FROM Match AS t2 WHERE t2.season = '2008/2009' GROUP BY t2.league_id)) | simple |
1,094 | european_football_2 | How much higher in percentage is Ariel Borysiuk's overall rating than that of Paulin Puel? | how much higher in percentage = MULTIPLY(DIVIDE(SUBTRACT(overall_rating WHERE player_name = 'Ariel Borysiuk', overall_rating WHERE player_name = 'Paulin Puel'), overall_rating WHERE player_name = 'Paulin Puel'), 100); | SELECT (SUM(CASE WHEN t1.player_name = 'Ariel Borysiuk' THEN t2.overall_rating ELSE 0 END) * 1.0 - SUM(CASE WHEN t1.player_name = 'Paulin Puel' THEN t2.overall_rating ELSE 0 END)) * 100 / SUM(CASE WHEN t1.player_name = 'Paulin Puel' THEN t2.overall_rating ELSE 0 END) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id | challenging |
1,096 | european_football_2 | Calculate the average overall rating of Pietro Marino. | Pietro Marino refers to player_name = 'Pietro Marino'; average overall rating AVG(T1.overall_rating) | SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Pietro Marino' | moderate |
1,098 | european_football_2 | What is Ajax's highest chance creation passing score and what is it classified as? | Ajax's refers to team_long_name = 'Ajax'; chance creation passing score refers to MAX(chanceCreationPassing); classified refer to chanceCreationPassingClass | SELECT t2.chanceCreationPassing, t2.chanceCreationPassingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Ajax' ORDER BY t2.chanceCreationPassing DESC LIMIT 1 | moderate |
1,102 | european_football_2 | For the players who had a 77 points overall rating on 2016/6/23, who was the oldest? Give the name of the player. | 77 points overall rating refers to overall_rating = 77; on 2016/6/23 refers to date LIKE '2016-06-23%'; The larger the birthday value, the younger the person is, and vice versa; | SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2016-06-23' AND t2.overall_rating = 77 ORDER BY t1.birthday ASC LIMIT 1 | moderate |
1,103 | european_football_2 | What was the overall rating for Aaron Mooy on 2016/2/4? | Aaron Mooy refers to player_name = 'Aaron Mooy'; on 2016/2/4 refers to date LIKE '2016-02-04%'; | SELECT t2.overall_rating FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2016-02-04' AND t1.player_name = 'Aaron Mooy' | moderate |
1,105 | european_football_2 | How was Francesco Migliore's attacking work rate on 2015/5/1? | Francesco Migliore refers to player_name = 'Francesco Migliore'; on 2015/5/1 refers to date LIKE '2015-05-01%'; | SELECT t2.attacking_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.`date` LIKE '2015-05-01%' AND t1.player_name = 'Francesco Migliore' | moderate |
1,107 | european_football_2 | When was the first time did Kevin Constant have his highest crossing score? Give the date. | Kevin Constant refers to player_name = 'Kevin Constant'; highest crossing score refers to MAX(crossing) | SELECT `date` FROM ( SELECT t2.crossing, t2.`date` FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE t1.player_name = 'Kevin Constant' ORDER BY t2.crossing DESC) ORDER BY date DESC LIMIT 1 | moderate |
1,110 | european_football_2 | Tell the build Up play passing class for "FC Lorient" on 2010/2/22. | "FC Lorient" refers to team_long_name = 'FC Lorient'; on 2010/2/22 refers to date LIKE '2010-02-22%'; | SELECT t2.buildUpPlayPassingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'FC Lorient' AND t2.`date` LIKE '2010-02-22%' | moderate |
1,113 | european_football_2 | For the team "Hannover 96", what was its defence aggression class on 2015/9/10? | "Hannover 96" refers to team_long_name = 'Hannover 96'; on 2015/9/10 refers to date LIKE '2015-09-10%'; | SELECT t2.defenceAggressionClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Hannover 96' AND t2.`date` LIKE '2015-09-10%' | moderate |
1,114 | european_football_2 | What was the average overall rating for Marko Arnautovic from 2007/2/22 to 2016/4/21? | average overall rating refers to avg(overall_rating); Marko Arnautovic refers to player_name = 'Marko Arnautovic'; from 2007/2/22 to 2016/4/21 refers to the first 10 characters of date BETWEEN '2007-02-22' and '2016-04-21' | SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE t1.player_name = 'Marko Arnautovic' AND SUBSTR(t2.`date`, 1, 10) BETWEEN '2007-02-22' AND '2016-04-21' | challenging |
1,115 | european_football_2 | What percentage is Landon Donovan's overall rating higher than Jordan Bowery on 2013/7/12? | Landon Donovan's refers to player_name = 'Landon Donovan'; Jordan Bowery refers to player_name = 'Jordan Bowery'; percentage refers to DIVIDE(SUBTRACT(player_name = 'Landon Donovan' overall_rating; player_name = 'Jordan Bowery' overall_rating), player_name = 'Landon Donovan' overall_rating)*100 | SELECT (SUM(CASE WHEN t1.player_name = 'Landon Donovan' THEN t2.overall_rating ELSE 0 END) * 1.0 - SUM(CASE WHEN t1.player_name = 'Jordan Bowery' THEN t2.overall_rating ELSE 0 END)) * 100 / SUM(CASE WHEN t1.player_name = 'Landon Donovan' THEN t2.overall_rating ELSE 0 END) LvsJ_percent FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2013-07-12' | challenging |
1,116 | european_football_2 | List down most tallest players' name. | tallest refers to rank based on the height in descending order; Most tallest players refers to rank = 1 | SELECT player_name FROM (SELECT player_name, height, DENSE_RANK() OVER (ORDER BY height DESC) as rank FROM Player) WHERE rank = 1 | simple |
1,122 | european_football_2 | State the name of the most strongest player. | strongest players refers to player has MAX(overall_rating) | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.overall_rating = (SELECT MAX(overall_rating) FROM Player_Attributes) | simple |
1,124 | european_football_2 | Who are the players that tend to be attacking when their mates were doing attack moves? List down their name. | tend to be attacking when their mates were doing attack moves refers to attacking_work_rate = 'high'; | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.attacking_work_rate = 'high' | moderate |
1,130 | european_football_2 | What are the short name of team who played safe while creating chance of passing? | played safe while creating chance of passing refers to chanceCreationPassingClass = 'Safe'; short name of team refers to team_short_name | SELECT DISTINCT t1.team_short_name FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.chanceCreationPassingClass = 'Safe' | moderate |
1,133 | european_football_2 | How many football players born after the 1990s have the first name "Aaron"? | first name "Aaron" refers to player_name LIKE 'Aaron%'; born after the 1990s refers to birthday > '1990' | SELECT COUNT(id) FROM Player WHERE birthday > '1990' AND player_name LIKE 'Aaron%' | simple |
1,134 | european_football_2 | What is the difference between players 6 and 23's jumping scores? | difference between players 6 and 23's jumping scores refers to SUBTRACT(jumping AND id = 6,jumping AND id = 23) | SELECT SUM(CASE WHEN t1.id = 6 THEN t1.jumping ELSE 0 END) - SUM(CASE WHEN t1.id = 23 THEN t1.jumping ELSE 0 END) FROM Player_Attributes AS t1 | simple |
1,135 | european_football_2 | Please provide top four football players' IDs who are among the lowest potential players and prefer to use the right foot when attacking. | lowest potential players refers to MIN(potential); prefer to use the right foot when attacking refers to preferred_foot = 'right' | SELECT id FROM Player_Attributes WHERE preferred_foot = 'right' ORDER BY potential ASC LIMIT 4 | moderate |
1,136 | european_football_2 | How many players had the highest potential score for crossing that preferred to use their left foots while attacking? | highest potential score for crossing refers to MAX(crossing); preferred to use their left foots while attacking refers to preferred_foot = 'left' | SELECT COUNT(t1.id) FROM Player_Attributes AS t1 WHERE t1.preferred_foot = 'left' AND t1.crossing = ( SELECT MAX(crossing) FROM Player_Attributes) | moderate |
1,139 | european_football_2 | What was the final score for the match on September 24, 2008, in the Belgian Jupiler League between the home team and the away team? | September 24, 2008 refers to date like '2008-09-24%'; in the Belgian Jupiler League refers to League.name = 'Belgium Jupiler League'; final score for home team refers to home_team_goal; final score for away team refers to away_team_goal | SELECT t2.home_team_goal, t2.away_team_goal FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Belgium Jupiler League' AND t2.`date` LIKE '2008-09-24%' | challenging |
1,141 | european_football_2 | Does the KSV Cercle Brugge team have a slow, balanced or fast speed class? | KSV Cercle Brugge refers to team_long_name = 'KSV Cercle Brugge'; speed class refers to buildUpPlaySpeedClass | SELECT DISTINCT t1.buildUpPlaySpeedClass FROM Team_Attributes AS t1 INNER JOIN Team AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.team_long_name = 'KSV Cercle Brugge' | moderate |
1,144 | european_football_2 | Please state the finishing rate and curve score of the player who has the heaviest weight. | finishing rate refer to finishing; curve score refer to curve; heaviest weight refers to MAX(weight) | SELECT id, finishing, curve FROM Player_Attributes WHERE player_api_id = ( SELECT player_api_id FROM Player ORDER BY weight DESC LIMIT 1 ) LIMIT 1 | simple |
1,145 | european_football_2 | Which top 4 leagues had the most games in the 2015-2016 season? | in the 2015-2016 season refers to season = '2015/2016'; league with most games refers to League.name where MAX(COUNT(id)) | SELECT t1.name FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2015/2016' GROUP BY t1.name ORDER BY COUNT(t2.id) DESC LIMIT 4 | simple |
1,146 | european_football_2 | Please provide the full name of the away team that scored the most goals. | full name refers to team_long_name; away team refers to away_team_api_id; scored the most goals refers to MAX(away_team_goal) | SELECT t2.team_long_name FROM Match AS t1 INNER JOIN Team AS t2 ON t1.away_team_api_id = t2.team_api_id ORDER BY t1.away_team_goal DESC LIMIT 1 | moderate |
1,147 | european_football_2 | Please name one player whose overall strength is the greatest. | overall strength is the greatest refers to MAX(overall_rating) | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.overall_rating = ( SELECT MAX(overall_rating) FROM Player_Attributes) | simple |
1,148 | european_football_2 | What is the percentage of players that are under 180 cm who have an overall strength of more than 70? | percentage refers to DIVIDE(COUNT(height < 180 AND overall_rating > 70),COUNT(id)) * 100 | SELECT CAST(COUNT(CASE WHEN t2.overall_rating > 70 AND t1.height < 180 THEN t1.id ELSE NULL END) AS REAL) * 100 / COUNT(t1.id) percent FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id | moderate |
846 | formula_1 | Please list the reference names of the drivers who are eliminated in the first period in race number 20. | driver reference name refers to driverRef; first qualifying period refers to q1; drivers who are eliminated in the first qualifying period refers to 5 drivers with MAX(q1); race number refers to raceId; | SELECT T2.driverRef FROM qualifying AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 20 ORDER BY T1.q1 DESC LIMIT 5 | moderate |
847 | formula_1 | What is the surname of the driver with the best lap time in race number 19 in the second qualifying period? | race number refers to raceId; second qualifying period refers to q2; best lap time refers to MIN(q2); | SELECT T2.surname FROM qualifying AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 19 ORDER BY T1.q2 ASC LIMIT 1 | simple |
850 | formula_1 | Please give the name of the race held on the circuits in Germany. | Germany is a name of country; | SELECT DISTINCT T2.name FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T1.country = 'Germany' | simple |
854 | formula_1 | What is the coordinates location of the circuits for Australian grand prix? | coordinate position/location refers to lat, lng; circuits for Australian grand prix refers to races.name = 'Australian Grand Prix' | SELECT DISTINCT T1.lat, T1.lng FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T2.name = 'Australian Grand Prix' | simple |
857 | formula_1 | Give the coordinate position for Abu Dhabi Grand Prix. | coordinate position/location refers to lat, lng; Abu Dhabi Grand Prix refers to races.name = 'Abu Dhabi Grand Prix' | SELECT DISTINCT T1.lat, T1.lng FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T2.name = 'Abu Dhabi Grand Prix' | simple |
859 | formula_1 | What's Bruno Senna's Q1 result in the qualifying race No. 354? | race number refers to raceId; Bruno Senna refers to the full name of the driver; Full name of the driver refers to drivers.forename and drivers.surname; | SELECT T1.q1 FROM qualifying AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 354 AND T2.forename = 'Bruno' AND T2.surname = 'Senna' | simple |
861 | formula_1 | What is his number of the driver who finished 0:01:54 in the Q3 of qualifying race No.903? | race number refers to raceId; finished 0:0M:SS in the Q3 refers to q3 LIKE 'M:SS%' | SELECT T2.number FROM qualifying AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 903 AND T1.q3 LIKE '1:54%' | simple |
862 | formula_1 | For the Bahrain Grand Prix in 2007, how many drivers not finished the game? | Bahrain Grand Prix refers to races.name = 'Bahrain Grand Prix'; drivers who finished the race refers to time is not empty (i.e. time IS NOT NULL); | SELECT COUNT(T3.driverId) FROM races AS T1 INNER JOIN results AS T2 ON T2.raceId = T1.raceId INNER JOIN drivers AS T3 ON T3.driverId = T2.driverId WHERE T1.year = 2007 AND T1.name = 'Bahrain Grand Prix' AND T2.time IS NULL | simple |
865 | formula_1 | For all the drivers who finished the game in race No. 592, who is the oldest? | drivers who finished the race refers to time is not empty (i.e. time IS NOT NULL); race number refers to raceId; date of birth refers to drivers.dob; The larger the birthday value, the younger the person is, and vice versa; | SELECT T1.forename, T1.surname FROM drivers AS T1 INNER JOIN results AS T2 ON T2.driverId = T1.driverId WHERE T2.raceId = 592 AND T2.time IS NOT NULL AND T1.dob IS NOT NULL ORDER BY T1.dob ASC LIMIT 1 | moderate |
866 | formula_1 | Who was the player that got the lap time of 0:01:27 in the race No. 161? Show his introduction website. | player and driver are synonyms; the lap time of 0:0M:SS refers to lapTime.time LIKE 'M:SS%';race number refers to raceId; introduction website of the drivers refers to url; | SELECT DISTINCT T2.forename, T2.surname, T2.url FROM lapTimes AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 161 AND T1.time LIKE '1:27%' | moderate |
868 | formula_1 | Where is Malaysian Grand Prix held? Give the location coordinates. | location coordinates refers to (lat, lng); Malaysian Grand Prix refers to races.name = 'Malaysian Grand Prix' | SELECT DISTINCT T1.lat, T1.lng FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T2.name = 'Malaysian Grand Prix' | simple |
869 | formula_1 | For the constructor which got the highest point in the race No. 9 , what is its introduction website? | race number refers to raceId; constructor which got the highest point refers to MAX(constructorResults.points); introduction website of the constructor refers to url; | SELECT T2.url FROM constructorResults AS T1 INNER JOIN constructors AS T2 ON T2.constructorId = T1.constructorId WHERE T1.raceId = 9 ORDER BY T1.points DESC LIMIT 1 | moderate |
872 | formula_1 | In the race No. 45, for the driver who had the Q3 time as 0:01:33, what is his abbreviated code? | race number refers to raceId; had the Q3 time as 0:0M:SS refers to q3 LIKE 'M:SS%' | SELECT T2.code FROM qualifying AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 45 AND T1.q3 LIKE '1:33%' | simple |
875 | formula_1 | Show me the season page of year when the race No. 901 took place. | the season page refers to url; race number refers to raceId; | SELECT T2.url FROM races AS T1 INNER JOIN seasons AS T2 ON T2.year = T1.year WHERE T1.raceId = 901 | simple |
877 | formula_1 | For all the drivers who finished the game in race No. 872, who is the youngest? | race number refers to raceId; drivers who finished the race refers to time has value; the youngest is a driver where MAX(dob); | SELECT T1.forename, T1.surname FROM drivers AS T1 INNER JOIN results AS T2 ON T2.driverId = T1.driverId WHERE T2.raceId = 872 AND T2.time IS NOT NULL ORDER BY T1.dob DESC LIMIT 1 | moderate |
879 | formula_1 | For the driver who set the fastest lap speed, what is his nationality? | the fastest lap speed refers to (MAX) fastestLapSpeed; | SELECT T1.nationality FROM drivers AS T1 INNER JOIN results AS T2 ON T2.driverId = T1.driverId ORDER BY T2.fastestLapSpeed DESC LIMIT 1 | moderate |
880 | formula_1 | Paul di Resta was in the No. 853 race, what percent faster did he finish in the 853rd race than the next race for the fastest lap speed? | Paul di Resta refers to the full name of the driver; Full name of the driver refers to drivers.forename ='Paul' and drivers.surname = 'di Resta'; race number refers to raceId; percentage = DIVIDE(SUBTRACT(fastestLapSpeed(raceId = 853), (fastestLapSpeed (raceId = 854)) * 100 , (fastestLapSpeed(raceId = 853)) | SELECT (SUM(IIF(T2.raceId = 853, T2.fastestLapSpeed, 0)) - SUM(IIF(T2.raceId = 854, T2.fastestLapSpeed, 0))) * 100 / SUM(IIF(T2.raceId = 853, T2.fastestLapSpeed, 0)) FROM drivers AS T1 INNER JOIN results AS T2 ON T2.driverId = T1.driverId WHERE T1.forename = 'Paul' AND T1.surname = 'di Resta' | challenging |
881 | formula_1 | For the drivers who took part in the race in 1983/7/16, what's their race completion rate? | DIVIDE(COUNT(driverid when time has value ), (COUNT(driverid )) as percentage; in 1983/7/16 refers to when date = '1983-07-16' | SELECT CAST(COUNT(CASE WHEN T2.time IS NOT NULL THEN T2.driverId END) AS REAL) * 100 / COUNT(T2.driverId) FROM races AS T1 INNER JOIN results AS T2 ON T2.raceId = T1.raceId WHERE T1.date = '1983-07-16' | moderate |
884 | formula_1 | List the names of all races that occurred in the earliest recorded year and month. | earliest recorded year and month refers to year = year(min(date)) and month = month(min(date)); | SELECT name FROM races WHERE STRFTIME('%Y', date) = ( SELECT STRFTIME('%Y', date) FROM races ORDER BY date ASC LIMIT 1 ) AND STRFTIME('%m', date) = ( SELECT STRFTIME('%m', date) FROM races ORDER BY date ASC LIMIT 1 ) | moderate |
892 | formula_1 | State the driver with the most points scored. Find his full name with that points. | the most points scored refers to max(points); Full name of the driver refers to drivers.forename and drivers.surname; | SELECT T3.forename, T3.surname, T2.points FROM races AS T1 INNER JOIN driverStandings AS T2 ON T2.raceId = T1.raceId INNER JOIN drivers AS T3 ON T3.driverId = T2.driverId ORDER BY T2.points DESC LIMIT 1 | moderate |
894 | formula_1 | What is the best lap time recorded? List the driver and race with such recorded lap time. | the best lap time refers to min(milliseconds); List the driver refers to drivers.forename and drivers.surname; List the race refers to races.name | SELECT T2.milliseconds, T1.forename, T1.surname, T3.name FROM drivers AS T1 INNER JOIN lapTimes AS T2 ON T1.driverId = T2.driverId INNER JOIN races AS T3 ON T2.raceId = T3.raceId ORDER BY T2.milliseconds ASC LIMIT 1 | moderate |
Subsets and Splits