query_id
int64 0
1.53k
| database_id
stringclasses 11
values | table_id
sequencelengths 1
4
| query
stringlengths 23
286
| answer
stringlengths 29
1.45k
| difficulty
stringclasses 3
values | evidence
stringlengths 0
591
|
---|---|---|---|---|---|---|
1,100 | european_football_2 | [
"Player_Attributes",
"Player"
] | What is the highest overall rating received by Dorlan Pabon? | SELECT MAX(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 = 'Dorlan Pabon' | simple | Dorlan Pabon refers to T2.player_name = 'Dorlan Pabon'; highest overall rating refers to MAX(overall_rating) |
1,101 | european_football_2 | [
"Country",
"Match",
"TEAM"
] | What is the average number of goals made by Parma as the away team while playing in Italy? | SELECT CAST(SUM(T1.away_team_goal) AS REAL) / COUNT(T1.id) FROM "Match" AS T1 INNER JOIN TEAM AS T2 ON T1.away_team_api_id = T2.team_api_id INNER JOIN Country AS T3 ON T1.country_id = T3.id WHERE T2.team_long_name = 'Parma' AND T3.name = 'Italy' | moderate | Parma refers to team_long_name = 'Parma'; average number of goals refers to AVG(away_team_goal) |
1,102 | european_football_2 | [
"Player_Attributes",
"Player"
] | For the players who had a 77 points overall rating on 2016/6/23, who was the oldest? Give the name of the player. | 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 | 77 points overall rating refers to overall_rating = 77; on 2016/6/23; oldest refers to MIN(birthday) |
1,103 | european_football_2 | [
"Player_Attributes",
"Player"
] | What was the overall rating for Aaron Mooy on 2016/2/4? | 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 | Aaron Mooy refers to player_name = 'Aaron Mooy'; on 2016/2/4 refers to date = '2016-02-04 00:00:00' |
1,104 | european_football_2 | [
"Player_Attributes",
"Player"
] | What was the potiential for Francesco Parravicini on 2010/8/30? | SELECT t2.potential 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) = '2010-08-30' AND t1.player_name = 'Francesco Parravicini' | moderate | Francesco Parravicini refers to player_name = 'Francesco Parravicini'; on 2010/8/30 refers to date = '2010-08-30 00:00:00' |
1,105 | european_football_2 | [
"Player_Attributes",
"Player"
] | How was Francesco Migliore's attacking work rate on 2015/5/1? | 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 SUBSTR(t2.`date`, 1, 10) = '2015-05-01' AND t1.player_name = 'Francesco Migliore' | moderate | Francesco Migliore's refers to player_name = 'Francesco Migliore'; on 2015/5/1 refers to date = '2015-05-01 00:00:00' |
1,106 | european_football_2 | [
"Player_Attributes",
"Player"
] | Tell the defensive work rate for Kevin Berigaud on 2013/2/22. | SELECT t2.defensive_work_rate 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) = '2013-02-22' AND t1.player_name = 'Kevin Berigaud' | moderate | Kevin Berigaud refers to player_name = 'Kevin Berigaud'; on 2013/2/22 refers to date = '2013-02-22 00:00:00' |
1,107 | european_football_2 | [
"Player_Attributes",
"Player"
] | When was the first time did Kevin Constant have his highest crossing score? Give the date. | 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 | Kevin Constant refers to player_name = 'Kevin Constant'; highest crossing score refers to MAX(crossing) |
1,108 | european_football_2 | [
"Team_Attributes",
"Team"
] | What was the build up play speed class for "Willem II" on 2011/2/22? | SELECT t2.buildUpPlaySpeedClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Willem II' AND SUBSTR(t2.`date`, 1, 10) = '2011-02-22' | moderate | "Willem II" refers to team_long_name = 'Willem II'; on 2011/2/22 refers to date = '2012-02-22 00:00:00' |
1,109 | european_football_2 | [
"Team_Attributes",
"Team"
] | How was the build up play dribbling class for "LEI" on 2015/9/10? | SELECT t2.buildUpPlayDribblingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_short_name = 'LEI' AND SUBSTR(t2.`date`, 1, 10) = '2015-09-10' | moderate | "LEI" refers to team_short_name = 'LEI'; on 2015/9/10 refers to date = '2015-09-10 00:00:00' |
1,110 | european_football_2 | [
"Team_Attributes",
"Team"
] | Tell the build Up play passing class for "FC Lorient" on 2010/2/22. | 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 SUBSTR(t2.`date`, 1, 10) = '2010-02-22' | moderate | "FC Lorient" refers to team_long_name = 'FC Lorient'; on 2010/2/22 refers to date = '2010-02-22 |
1,111 | european_football_2 | [
"Team_Attributes",
"Team"
] | State the chance creation passing class for "PEC Zwolle" on 2013/9/20. | SELECT 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 = 'PEC Zwolle' AND SUBSTR(t2.`date`, 1, 10) = '2013-09-20' | moderate | "PEC Zwolle" refers to team_long_name = 'PEC Zwolle'; on 2013/9/20 refers to date = '2013-09-20 00:00:00' |
1,112 | european_football_2 | [
"Team_Attributes",
"Team"
] | What was the chance creation crossing class for "Hull City" on 2010/2/22? | SELECT t2.chanceCreationCrossingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Hull City' AND SUBSTR(t2.`date`, 1, 10) = '2010-02-22' | moderate | "Hull City" refers to team_long_name = 'Hull City'; on 2010/2/22 refers to date = '2010-02-22 00:00:00' |
1,113 | european_football_2 | [
"Team_Attributes",
"Team"
] | For the team "Hannover 96", what was its defence aggression class on 2015/9/10? | SELECT t2.chanceCreationShootingClass 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 SUBSTR(t2.`date`, 1, 10) = '2015-09-10' | moderate | "Hannover 96" refers to team_long_name = 'Hannover 96'; on 2015/9/10 refers to date = '2015-09-10 00:00:00' |
1,114 | european_football_2 | [
"Player_Attributes",
"Player"
] | What was the average overall rating for Marko Arnautovic from 2007/2/22 to 2016/4/21? | 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 | 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 date BETWEEN '2007-02-22 00:00:00' and '2016-04-21 00:00:00' |
1,115 | european_football_2 | [
"Player_Attributes",
"Player"
] | What percentage is Landon Donovan's overall rating higher than Jordan Bowery on 2013/7/12? | 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 | 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 |
1,116 | european_football_2 | [
"Player"
] | List down 5 tallest players' name. | SELECT player_name FROM Player ORDER BY height DESC LIMIT 5 | simple | tallest refers to MAX(height) |
1,117 | european_football_2 | [
"Player"
] | What are the player api id of 10 heaviest players? | SELECT player_api_id FROM Player ORDER BY weight DESC LIMIT 10 | simple | heaviest refers to MAX(weight) |
1,118 | european_football_2 | [
"Player"
] | List down the name of players who are 35 years old and above. | SELECT player_name FROM Player WHERE CAST((JULIANDAY('now') - JULIANDAY(birthday)) AS REAL) / 365 >= 35 | simple | 35 years old and above refers to datetime(CURRENT_TIMESTAMP,'localtime') - datetime(birthday) > 34 |
1,119 | european_football_2 | [
"Player",
"match"
] | How many home team goal have been scored by Aaron Lennon? | SELECT SUM(t2.home_team_goal) FROM Player AS t1 INNER JOIN match AS t2 ON t1.player_api_id = t2.away_player_9 WHERE t1.player_name = 'Aaron Lennon' | simple | Aaron Lennon refers to player_name = 'Aaron Lennon' |
1,120 | european_football_2 | [
"Player",
"match"
] | Sum up the away team goal scored by both Daan Smith and Filipe Ferreira. | SELECT SUM(t2.away_team_goal) FROM Player AS t1 INNER JOIN match AS t2 ON t1.player_api_id = t2.away_player_5 WHERE t1.player_name IN ('Daan Smith', 'Filipe Ferreira') | moderate | Daan Smith refers to player_name = 'Daan Smith'; Filipe Ferreira refers to player_name = 'Filipe Ferreira' |
1,121 | european_football_2 | [
"Player",
"match"
] | Calculate the total home team goal scored by players whose age are 30 years old and below. | SELECT SUM(t2.home_team_goal) FROM Player AS t1 INNER JOIN match AS t2 ON t1.player_api_id = t2.away_player_1 WHERE datetime(CURRENT_TIMESTAMP, 'localtime') - datetime(T1.birthday) < 31 | moderate | age are 30 years old and below refers to SUBTRACT(datetime(CURRENT_TIMESTAMP,'localtime'), datetime(birthday) < 31) |
1,122 | european_football_2 | [
"Player_Attributes",
"Player"
] | State 10 names of the strongest players. | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t2.overall_rating DESC LIMIT 10 | simple | strongest players refers to MAX(overall_rating) |
1,123 | european_football_2 | [
"Player_Attributes",
"Player"
] | What is the name of players with the highest potential? | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t2.potential DESC LIMIT 1 | simple | highest potential refers to MAX(potential) |
1,124 | european_football_2 | [
"Player_Attributes",
"Player"
] | Who are the players that tend to be attacking when their mates were doing attack moves? List down their name. | 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 | tend to be attacking when their mates were doing attack moves refers to attacking_work_rate = 'high'; |
1,125 | european_football_2 | [
"Player_Attributes",
"Player"
] | Among the players with finishing rate of 1, pick the eldest player and state the player's name. | 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.finishing = 1 ORDER BY t1.birthday ASC LIMIT 1 | moderate | eldest player refers to MAX(SUBTRACT(datetime(CURRENT_TIMESTAMP,'localtime'),datetime(birthday))); finishing rate of 1 refers to finishing = 1 |
1,126 | european_football_2 | [
"Country",
"Match",
"Player"
] | State the name of players who came from Belgium. | SELECT t3.player_name FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id INNER JOIN Player AS t3 ON t2.home_player_1 = t3.player_api_id WHERE t1.name = 'Belgium' | simple | name of players refers to player_name; Belgium is name of country |
1,127 | european_football_2 | [
"Player_Attributes",
"Player",
"Country",
"Match"
] | Locate players with vision scores of 90 and above, state the country of these players. | SELECT DISTINCT t4.name FROM Player_Attributes AS t1 INNER JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id INNER JOIN Match AS t3 ON t2.player_api_id = t3.home_player_8 INNER JOIN Country AS t4 ON t3.country_id = t4.id WHERE t1.vision > 89 | moderate | vision scores of 90 and above refers to vision > 89 |
1,128 | european_football_2 | [
"Country",
"Match",
"Player"
] | Which country's players have the heaviest average weights? | SELECT t1.name FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id INNER JOIN Player AS t3 ON t2.home_player_1 = t3.player_api_id GROUP BY t1.name ORDER BY AVG(t3.weight) DESC LIMIT 1 | simple | heaviest average weights refers to MAX(AVG(weight)) |
1,129 | european_football_2 | [
"Team_Attributes",
"Team"
] | List down the long name for slow speed class team. | SELECT DISTINCT t1.team_long_name FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.buildUpPlaySpeedClass = 'Slow' | simple | slow speed class refers to buildUpPlaySpeedClass = 'Slow'; long name refers to team_long_name |
1,130 | european_football_2 | [
"Team_Attributes",
"Team"
] | What are the short name of team who played safe while creating chance of passing? | 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 | played safe while creating chance of passing refers to chanceCreationPassingClass = 'Safe'; short name of team refers to team_short_name |
1,131 | european_football_2 | [
"Player",
"Country",
"Match"
] | What is the average heights of Italy players? | SELECT CAST(SUM(T1.height) AS REAL) / COUNT(T1.id) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.id = T2.id INNER JOIN Country AS T3 ON T2.country_id = T3.ID WHERE T3.NAME = 'Italy' | simple | average heights refers to Avg(height); Italy is name of country |
1,132 | european_football_2 | [
"Player"
] | Please provide the names of top three football players who are over 180 cm tall in alphabetical order. | SELECT player_name FROM Player WHERE height > 180 ORDER BY player_name LIMIT 3 | simple | over 180 cm tall refers to height > 180; name of football player refers to player_name |
1,133 | european_football_2 | [
"Player"
] | How many football players born after the 1990s have the first name "Aaron"? | SELECT COUNT(id) FROM Player WHERE birthday > '1990' AND player_name LIKE 'Aaron%' | simple | first name "Aaron" refers to player_name LIKE 'Aaron%'; born after the 1990s refers to birthday > '1990' |
1,134 | european_football_2 | [
"Player_Attributes"
] | What is the difference between players 6 and 23's jumping scores? | 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 | difference between players 6 and 23's jumping scores refers to SUBTRACT(jumping AND id = 6,jumping AND id = 23) |
1,135 | european_football_2 | [
"Player_Attributes"
] | Please provide top three football players' IDs who are among the lowest potential players and prefer to use the right foot when attacking. | SELECT id FROM Player_Attributes WHERE preferred_foot = 'right' ORDER BY potential DESC LIMIT 3 | moderate | lowest potential players refers to MIN(potential); prefer to use the right foot refers to preferred_foot = 'right' |
1,136 | european_football_2 | [
"Player_Attributes"
] | How many players had the highest potential score for crossing that preferred to use their left foots while attacking? | SELECT COUNT(t1.id) FROM Player_Attributes AS t1 WHERE t1.preferred_foot = 'left' AND t1.crossing = ( SELECT MAX(crossing) FROM Player_Attributes) | moderate | highest potential score for crossing refers to MAX(crossing); preferred to use their left foots refers to preferred_foot = 'left' |
1,137 | european_football_2 | [
"Player_Attributes"
] | What percentage of players have a strength and stamina score of more than 80? | SELECT CAST(COUNT(CASE WHEN strength > 80 AND stamina > 80 THEN id ELSE NULL END) AS REAL) * 100 / COUNT(id) FROM Player_Attributes t | simple | strength and stamina score of more than 80 refers to stamina > 80 and strength > 80 |
1,138 | european_football_2 | [
"Country",
"League"
] | In what country did the Poland Ekstraklasa take place? | SELECT name FROM Country WHERE id IN ( SELECT country_id FROM League WHERE name = 'Poland Ekstraklasa' ) | simple | |
1,139 | european_football_2 | [
"League",
"Match"
] | 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? | 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 SUBSTR(t2.`date`, 1, 10) = '2008-09-24' | challenging | September 24, 2008 refers to date like '2008-09-24%'; final score for home team refers to home_team_goal; final score for away team refers to away_team_goal |
1,140 | european_football_2 | [
"Player_Attributes",
"Player"
] | What are Alexis Blin's sprint speed, agility, and acceleration scores? | SELECT sprint_speed, agility, acceleration FROM Player_Attributes WHERE player_api_id IN ( SELECT player_api_id FROM Player WHERE player_name = 'Alexis Blin' ) | simple | Alexis Blin's refers to player_name = 'Alexis Blin' |
1,141 | european_football_2 | [
"Team_Attributes",
"Team"
] | Does the KSV Cercle Brugge team have a slow, balanced or fast speed class? | 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 | KSV Cercle Brugge refers to team_long_name = 'KSV Cercle Brugge'; speed class refers to buildUpPlaySpeedClass |
1,142 | european_football_2 | [
"League",
"Match"
] | In the 2015–2016 season, how many games were played in the Italian Serie A league? | SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Italy Serie A' AND t2.season = '2015/2016' | simple | In the 2015–2016 season refers to season = '2015/2016' |
1,143 | european_football_2 | [
"League",
"Match"
] | What was the highest score of the home team in the Netherlands Eredivisie league? | SELECT MAX(t2.home_team_goal) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Netherlands Eredivisie' | simple | highest score of the home team refers to MAX(home_team_goal) |
1,144 | european_football_2 | [
"Player_Attributes",
"Player"
] | Please state the finishing rate and curve score of the player who has the heaviest 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 | heaviest weight refers to MAX(weight) |
1,145 | european_football_2 | [
"League",
"Match"
] | Which league had the most games in the 2015–2016 season? | 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 1 | simple | in the 2015–2016 season season = '2015/2016'; league with most games refers to team_long_name where MAX(COUNT(id)) |
1,146 | european_football_2 | [
"Match",
"Team"
] | Please provide the full name of the away team that scored the most goals. | 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 | 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) |
1,147 | european_football_2 | [
"Player_Attributes",
"Player"
] | Please name one player whose overall strength is the greatest. | 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 | overall strength is the greatest refers to MAX(overall_rating) |
1,148 | european_football_2 | [
"Player_Attributes",
"Player"
] | What is the percentage of players that are under 180 cm who have an overall strength of more than 70? | SELECT CAST(COUNT(CASE WHEN t2.overall_rating > 70 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 t1.height < 180 | moderate | percentage refers to DIVIDE(COUNT(height < 180 AND overall_rating > 70),COUNT(id)) * 100% |
1,149 | thrombosis_prediction | [
"Patient"
] | Are there more in-patient or outpatient who were male? What is the deviation in percentage? | SELECT CAST(SUM(CASE WHEN Admission = '+' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN Admission = '-' THEN 1 ELSE 0 END) FROM Patient WHERE SEX = 'M' | moderate | male refers to SEX = 'M'; in-patient refers to Admission = '+'; outpatient refers to Admission = '-'; SUBTRACT(COUNT(ID) where SEX = 'M' and Admission = '+', COUNT(ID) where SEX = 'M' and Admission = '-') |
1,150 | thrombosis_prediction | [
"Patient"
] | What is the percentage of female patient were born after 1930? | SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', Birthday) > '1930' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient WHERE SEX = 'F' | moderate | female refers to Sex = 'F'; patient who were born after 1930 refers to year(Birthday) > '1930'; calculation = DIVIDE(COUNT(ID) where year(Birthday) > '1930' and SEX = 'F'), (COUNT(ID) where SEX = 'F') |
1,151 | thrombosis_prediction | [
"Patient"
] | For patient born between Year 1930 to 1940, how many percent of them were inpatient? | SELECT CAST(SUM(CASE WHEN Admission = '+' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient WHERE STRFTIME('%Y', Birthday) BETWEEN '1930' AND '1940' | moderate | patient born between Year 1930 to 1940 refers to year(Birthday) BETWEEN '1930-01-01' AND '1940-12-31'; inpatient refers to Admission = '+' |
1,152 | thrombosis_prediction | [
"Patient"
] | What is the ratio of outpatient to inpatient followed up treatment among all the 'SLE' diagnosed patient? | SELECT SUM(CASE WHEN Admission = '+' THEN 1 ELSE 0 END) / SUM(CASE WHEN Admission = '-' THEN 1 ELSE 0 END) FROM Patient WHERE Diagnosis = 'SLE' | moderate | 'SLE' refers to diagnosis; inpatient refers to Admission = '+'; outpatient refers to Admission = '-'; DIVIDE(COUNT(ID) where Diagnosis = 'SLE' and Admission = '+', COUNT(ID) where Diagnosis = 'SLE' and Admission = '-') |
1,153 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | What is the disease patient '30609' diagnosed with. List all the date of laboratory tests done for this patient. | SELECT T1.Diagnosis, T2.Date FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.ID = 30609 | simple | '30609' is an ID; disease means diagnosis |
1,154 | thrombosis_prediction | [
"Examination",
"Patient"
] | State the sex and birthday of patient ID '163109'. When was the examination taken and what symptom does the patient had. | SELECT T1.SEX, T1.Birthday, T2.`Examination Date`, T2.Symptoms FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.ID = 163109 | simple | When was the examination taken refers to `Examination Date` |
1,155 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | List the patient ID, sex and birthday of patient with LDH beyond normal range. | SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.LDH > 500 | simple | LDH beyond normal range refers to LDH > '500' |
1,156 | thrombosis_prediction | [
"Examination",
"Patient"
] | State the ID and age of patient with positive degree of coagulation. | SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.RVVT = '+' | moderate | age refers to SUBTRACT(year(current_timestamp), year(Birthday)); positive degree of coagulation refers to RVVT = '+' |
1,157 | thrombosis_prediction | [
"Examination",
"Patient"
] | For patients with severe degree of thrombosis, list their ID, sex and dieseas the patient is diagnosed with. | SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Thrombosis = 2 | simple | severe degree of thrombosis refers to thrombosis = 2; disease refers to diagnosis |
1,158 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | List all patients who were born in 1937 whose total cholesterol was beyond the normal range. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) = '1937' AND T2.`T-CHO` >= 250 | moderate | who were born in 1937 refers to year(birthday) = '1937'; total cholesterol was beyond the normal range refers to `T-CHO` > = '250' |
1,159 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | For patient with albumin level lower than 3.5, list their ID, sex and diagnosis. | SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.ALB < 3.5 | simple | albumin level lower than 3.5 refers to ALB < 3.5; |
1,160 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | What is the percentage of female patient had total protein not within the normal range? | SELECT CAST(SUM(CASE WHEN T1.SEX = 'F' AND (T2.TP < 6.0 OR T2.TP > 8.5) THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F' | moderate | female refers to sex = 'F'; total protein not within the normal range refers to TP < '6.0' or TP > '8.5'; calculation = DIVIDE((ID where sex = 'F' and TP < '6.0' or TP > '8.5'), COUNT(ID)) * 100 |
1,161 | thrombosis_prediction | [
"Examination",
"Patient"
] | For in-patient age 50 and above, what is their average anti-cardiolipin antibody (IgG) concentration? | SELECT AVG(T2.`aCL IgG`) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) >= 50 AND T1.Admission = '+' | challenging | in-patient refers to Admission = '+'; age 50 and above refers to SUBTRACT(year(current_timestamp), year(Birthday)) >= '50'; average anti-cardiolipin antibody (IgG) concentration refers to AVG(aCL IgG) |
1,162 | thrombosis_prediction | [
"Patient"
] | How many female patients who came at the hospital in 1997 was immediately followed at the outpatient clinic? | SELECT COUNT(*) FROM Patient WHERE STRFTIME('%Y', Description) = '1997' AND SEX = 'F' AND Admission = '-' | moderate | female refers to sex = 'F'; came at the hospital in 1997 refers to year(Description) = '1997'; followed at the outpatient clinic refers to Admission = '-' |
1,163 | thrombosis_prediction | [
"Patient"
] | What was the age of the youngest patient when they initially arrived at the hospital? | SELECT MIN(STRFTIME('%Y', `First Date`) - STRFTIME('%Y', Birthday)) FROM Patient | simple | age refers to SUBTRACT(YEAR(Birthday), YEAR(`First Date`)) |
1,164 | thrombosis_prediction | [
"Examination",
"Patient"
] | How many of the patients with the most serious thrombosis cases examined in 1997 are women? | SELECT CAST(SUM(CASE WHEN T1.SEX = 'F' THEN 1 ELSE 0 END) AS REAL) / COUNT(*) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T2.`Examination Date`) = '1997' AND T2.Thrombosis = 1 | moderate | the most serious thrombosis refers to Thrombosis = '1' (the most severe one); women refers to sex = 'F' |
1,165 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | What is the age gap between the youngest and oldest patient with a normal triglyceride recorded? | SELECT STRFTIME('%Y', MAX(T1.Birthday)) - STRFTIME('%Y', MIN(T1.Birthday)) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TG >= 200 | moderate | age gap refers to SUBTRACT(MAX(year(Birthday)) - MIN(year(Birthday))); normal triglyceride refers to tg > = 200 |
1,166 | thrombosis_prediction | [
"Examination",
"Patient"
] | What are the symptoms observed by the youngest patient to ever did a medical examination? Identify their diagnosis. | SELECT T2.Symptoms, T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Symptoms IS NOT NULL ORDER BY T1.Birthday DESC LIMIT 1 | simple | the youngest patient refers to MIN(BIRTHDAY); |
1,167 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | For the year that concluded on December 31, 1998, how many male patients on average were tested in the lab each month? | SELECT CAST(COUNT(T1.ID) AS REAL) / 12 FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T2.Date) = '1998' AND T1.SEX = 'M' | moderate | the year that concluded on December 31, 1998 refers to Date BETWEEN '1998-01-01' AND '1998-12-31'; male refers to SEX = 'M'; calculation = DIVIDE(COUNT(ID), 12) |
1,168 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | The oldest SJS patient's medical laboratory work was completed on what date, and what age was the patient when they initially arrived at the hospital? | SELECT T1.Date, STRFTIME('%Y', T2.`First Date`) - STRFTIME('%Y', T2.Birthday) FROM Laboratory AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T2.Diagnosis = 'SJS' AND T2.Birthday IS NOT NULL ORDER BY T2.Birthday ASC LIMIT 1 | challenging | The oldest patient refers to MAX(Birthday); 'SJS' refers to diagnosis; (SUBTRACT(year(`First Date`)), year(Birthday)); age of the patients when they initially arrived at the hospital refers to year(Birthday) |
1,169 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | What is the ratio of male to female patients among all those with abnormal uric acid counts? | SELECT CAST(SUM(CASE WHEN T2.UA <= 8.0 AND T1.SEX = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.UA <= 6.5 AND T1.SEX = 'F' THEN 1 ELSE 0 END) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID | challenging | male refers to SEX = 'M'; female refers to SEX = 'F'; abnormal uric acid refers to UA < = '8.0' where SEX = 'M', UA < = '6.5' where SEX = 'F'; calculation = DIVIDE(SUM(UA <= '8.0' and SEX = 'M'), SUM(UA <= '6.5 and SEX = 'F')) |
1,170 | thrombosis_prediction | [
"Examination",
"Patient"
] | How many patients hadn't undergone a medical examination until at least a year following their initial hospital visit? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.Admission = '+' AND STRFTIME('%Y', T2.`Examination Date`) - STRFTIME('%Y', T1.`First Date`) >= 1 | moderate | hadn't undergone a medical examination until at least a year refers to SUBTRACT(year(`Examination Date`), year(`First Date`)) > = 1 |
1,171 | thrombosis_prediction | [
"Examination",
"Patient"
] | How many underage patients were examined during the course of the three-year period from 1990 to 1993? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T2.`Examination Date`) BETWEEN '1990' AND '1993' AND STRFTIME('%Y', T2.`Examination Date`) - STRFTIME('%Y', T1.Birthday) < '18' | challenging | underage patients refers to year(Birthday) < 18; three-year period from 1990 to 1993 refers to `Examination Date` between '1990-01-01' and '1993-12-31' |
1,172 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | How many male patients have elevated total bilirubin count? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.`T-BIL` >= 2.0 AND T1.SEX = 'M' | simple | male refers to SEX = 'M'; elevated means above the normal range; total bilirubin above the normal range refers to `T-BIL` > '2.0' |
1,173 | thrombosis_prediction | [
"Examination",
"Patient"
] | What is the most common illness that doctors identified among the patients whose lab work was done between 1/1/1985, and 12/31/1995? | SELECT T2.Diagnosis FROM Examination AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T1.`Examination Date` BETWEEN '1985-01-01' AND '1995-12-31' GROUP BY T2.Diagnosis ORDER BY COUNT(T2.Diagnosis) DESC LIMIT 1 | challenging | the most common illness refers to MAX(COUNT(Diagnosis)); lab work between 1/1/1985 and 12/31/1995 refers to `Examination Date` between '1985-01-01' and '1995-12-31 ' |
1,174 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | What is the average age of patients examined in the laboratory for the October of the year 1991? | SELECT AVG('1999' - STRFTIME('%Y', T2.Birthday)) FROM Laboratory AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T1.Date BETWEEN '1991-10-01' AND '1991-10-30' | moderate | average age for first half of 1999 refers to AVG(SUBTRACT('1999', year(Birthday))); October of 1991 refers to Date BETWEEN '1991-10-01' AND '1991-10-30' |
1,175 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | How old was the patient who had the highest hemoglobin count at the time of the examination, and what is the doctor's diagnosis? | SELECT STRFTIME('%Y', T2.Date) - STRFTIME('%Y', T1.Birthday), T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID ORDER BY T2.HGB DESC LIMIT 1 | moderate | How old the patient refers to SUBTRACT(year(`Examination Date`), year(Birthday)); the highest hemoglobin count refers to MAX(HGB) |
1,176 | thrombosis_prediction | [
"Examination"
] | What was the anti-nucleus antibody concentration level for the patient id 3605340 on 1996/12/2? | SELECT ANA FROM Examination WHERE ID = 3605340 AND `Examination Date` = '1996-12-02' | simple | anti-nucleus antibody refers to ANA; 1996/12/2 refers to `Examination Date` = '1996-12-02' |
1,177 | thrombosis_prediction | [
"Laboratory"
] | Was the total cholesterol status for the patient id 2927464 on 1995-9-4 at the normal level? | SELECT CASE WHEN `T-CHO` < 250 THEN 'Normal' ELSE 'Abnormal' END FROM Laboratory WHERE ID = 2927464 AND Date = '1995-09-04' | simple | total cholesterol normal level refers to N < 250 |
1,178 | thrombosis_prediction | [
"Patient"
] | What was the gender of the first AORTITIS diagnosed patient? | SELECT SEX FROM Patient WHERE Diagnosis = 'AORTITIS' AND `First Date` IS NOT NULL ORDER BY `First Date` ASC LIMIT 1 | simple | gender means SEX; 'AORTITIS' refers to Diagnosis; |
1,179 | thrombosis_prediction | [
"Examination",
"Patient"
] | For the patient who was diagnosed with SLE on 1994/2/19, what was his/her anti-Cardiolipin antibody concentration status on 1993/11/12? | SELECT `aCL IgA`, `aCL IgG`, `aCL IgM` FROM Examination WHERE ID IN ( SELECT ID FROM Patient WHERE Diagnosis = 'SLE' AND Description = '1994-02-19' ) AND `Examination Date` = '1993-11-12' | moderate | 'SLE' refers to Diagnosis; 1994/2/19 refers to Description = '1994-02-19'; anti-Cardiolipin refers to aCL IgM; 1993/11/12 refers to Description = '1993/11/12' |
1,180 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | Was the patient a man or a women whose ALT glutamic pylvic transaminase status got 9 on 1992-6-12? | SELECT T1.SEX FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GPT = 9.0 AND T2.Date = '1992-06-12' | moderate | man refers to SEX = 'M'; women refers to SEX = 'F'; ALT glutamic pylvic transaminase status got 9 GPT = '9'; 1992/6/12 refers to Date = '1992-06-12' |
1,181 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | For the patient who got the laboratory test of uric acid level as 8.4 on 1991-10-21, how old was he/she at that time? | SELECT STRFTIME('%Y', T2.Date) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UA = 8.4 AND T2.Date = '1991-10-21' | moderate | how old at that time refers to SUBTRACT('1992', year(Birthday)); uric acid level as 8.4 refers to UA = '8.4'; 1991/10/21 refers to Date = '1991-10-21' |
1,182 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | For the patient who first came to the hospital on 1991/6/13 who was diagnosed with SJS, what is the total number of his/her Laboratory tests in 1995? | SELECT COUNT(*) FROM Laboratory WHERE ID = ( SELECT ID FROM Patient WHERE `First Date` = '1991-06-13' AND Diagnosis = 'SJS' ) AND STRFTIME('%Y', Date) = '1995' | moderate | 1991/6/13 refers to `First Date` = '1991-06-13'; 'SJS' refers to Diagnosis; total number of his/her Laboratory tests refers to COUNT(ID); 1995 refers to Date |
1,183 | thrombosis_prediction | [
"Examination",
"Patient"
] | For the patient who was diagnosed SLE on 1997/1/27, what was his/her original diagnose when he/she came to the hospital for the first time? | SELECT T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.ID = ( SELECT ID FROM Examination WHERE `Examination Date` = '1997-01-27' AND Diagnosis = 'SLE' ) AND T2.`Examination Date` = T1.`First Date` | challenging | 'SLE' AND original diagnose refers to diagnosis; 1997/1/27 refer to `Examination Date` = '1997-01-27'; first came to the hospital refers to patient.`First Date` |
1,184 | thrombosis_prediction | [
"Examination",
"Patient"
] | For the patient whose birthday was 1959/3/1, what symptoms did he/she have during the examination on 1993/9/27? | SELECT T2.Symptoms FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.Birthday = '1959-03-01' AND T2.`Examination Date` = '1993-09-27' | simple | |
1,185 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | For the patient who was born on 1959/2/18, what is the decrease rate for his/her total cholesterol from November to December in 1981? | SELECT CAST((SUM(CASE WHEN T2.Date LIKE '1981-11-%' THEN T2.`T-CHO` ELSE 0 END) - SUM(CASE WHEN T2.Date LIKE '1981-12-%' THEN T2.`T-CHO` ELSE 0 END)) AS REAL) / SUM(CASE WHEN T2.Date LIKE '1981-12-%' THEN T2.`T-CHO` ELSE 0 END) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Birthday = '1959-02-18' | challenging | born on 1959/2/18 refers to Birthday = '1959-02-18'; calculation = SUBTRACT(SUM(Birthday = '1959-02-18' and Date like '1981-11-%' THEN `T-CHO`), SUM(Birthday = '1959-02-18' and Date like '1981-12-%' THEN `T-CHO`)) |
1,186 | thrombosis_prediction | [
"Examination"
] | Lists all patients by ID who were diagnosed with Behcet's and had their exams between 01/01/197 and 12/31/1997. | SELECT ID FROM Examination WHERE `Examination Date` BETWEEN '1997-01-01' AND '1997-12-31' AND Diagnosis = 'Behcet' | moderate | 'Behcet' refers to diagnosis; exam between 01/01/1997 and 12/31/1997 refers to YEAR(Description) > = '1997-1-1' AND YEAR(Description) < '1998-1-1' |
1,187 | thrombosis_prediction | [
"Laboratory"
] | How many patients who were examined between 1987/7/6 and 1996/1/31 had a GPT level greater than 30 and an ALB level less than 4? List them by their ID. | SELECT DISTINCT ID FROM Laboratory WHERE Date BETWEEN '1987-07-06' AND '1996-01-31' AND GPT > 30 AND ALB < 4 | moderate | examined between 1987/7/6 and 1996/1/31 refers to Date BETWEEN '1987-07-06' AND '1996-01-31'; GPT level greater than 30 refers to GPT > 30; ALB level less than 4 ALB < 4 |
1,188 | thrombosis_prediction | [
"Patient"
] | How many female patients born in 1964 were admitted to the hospital? List them by ID. | SELECT ID FROM Patient WHERE STRFTIME('%Y', Birthday) = '1964' AND SEX = 'F' AND Admission = '+' | simple | female refers to SEX = 'F'; born in 1964 refers to YEAR(Birthday) = 1964; admitted to the hospital refers to Admission = '+' |
1,189 | thrombosis_prediction | [
"Examination"
] | What number of patients with a degree of thrombosis level 2 and ANA pattern of only S, have a level of anti-Cardiolip in antibody (IgM) 20% higher than average? | SELECT COUNT(*) FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S' AND `aCL IgM` > (SELECT AVG(`aCL IgM`) * 1.2 FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S') | challenging | thrombosis level 2 refers to Thrombosis = 2; ANA pattern of only S refers to ANA = 'S'; average anti-Cardiolip in antibody (IgM) refers to AVG(`aCL IgM`); calculation = MULTIPLY(AVG + AVG, 0.2) |
1,190 | thrombosis_prediction | [
"Laboratory"
] | What percentage of patients with a proteinuria level within the normal range have a uric acid level below the normal range? | SELECT CAST(SUM(CASE WHEN UA <= 6.5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(ID) FROM Laboratory WHERE `U-PRO` > 0 AND `U-PRO` < 30 | challenging | proteinuria level within the normal range refers to `U-PRO` > 0 AND `U-PRO` < 30; uric acid level below the normal range refers to UA < = 6.5; calculation = MULTIPLY(DIVIDE(UA < = 6.5, `U-PRO` > 0 AND `U-PRO` < 30),100) |
1,191 | thrombosis_prediction | [
"Patient"
] | What percentage of male patients who first presented to the hospital in 1981 were diagnosed with BEHCET? | SELECT CAST(SUM(CASE WHEN Diagnosis = 'BEHCET' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(ID) FROM Patient WHERE STRFTIME('%Y', `First Date`) = '1981' AND SEX = 'M' | challenging | male refers to SEX = 'M'; first presented to the hospital in 1981 refers to YEAR(`FIRST DATE`) = '1981'; BEHCET refers to diagnosis; calculation = DIVIDE(SUM(DIAGNOSIS = 'BEHCET') where YEAR(`FIRST DATE`) = '1981', MULTIPLY(COUNT(YEAR(`FIRST DATE`) = '1981')), 100) |
1,192 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | List all patients who were followed up at the outpatient clinic who underwent a laboratory test in October 1991 and had a total blood bilirubin level within the normal range. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Admission = '-' AND T2.`T-BIL` < 2.0 AND STRFTIME('%Y', T2.Date) = '1991' AND STRFTIME('%m', T2.Date) = '10' | challenging | followed up at the outpatient clinic refers to Admission = '-'; laboratory test in April 1981 refers to Date like '1991-10%'; blood bilirubin level within the normal range refers to T-BIL < 2.0 |
1,193 | thrombosis_prediction | [
"Examination",
"Patient"
] | Excluding all P only ANA Pattern patients, how many of the remainder are women born between 1980 and 1989? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.`ANA Pattern` != 'P' AND STRFTIME('%Y', T1.Birthday) BETWEEN '1980' AND '1989' AND T1.SEX = 'F' | moderate | Excluding all P only ANA Pattern refers to `ANA Pattern`! = 'p'; women refers to SEX = 'F'; born between 1980 and 1989 refers to BIRTHDAY |
1,194 | thrombosis_prediction | [
"Examination",
"Laboratory",
"Patient"
] | What sex is the patient who in a medical examination was diagnosed with PSS and in a laboratory examination had a blood level of C-reactive protein de 2+, createnine 1 and LDH 123? | SELECT T1.SEX FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID INNER JOIN Laboratory AS T3 ON T3.ID = T2.ID WHERE T2.Diagnosis = 'PSS' AND T3.CRP = '2+' AND T3.CRE = 1.0 AND T3.LDH = 123 | challenging | PSS' refers to diagnosis; blood level of C-reactive protein de 2+refers to CRP > 2; createnine 1 refers to CRE = 1; LDH 123 refers to LDH = 123 |
1,195 | thrombosis_prediction | [
"Laboratory",
"Patient"
] | What is the average blood albumin level for female patients with a PLT greater than 400 who have been diagnosed with SLE? | SELECT AVG(T2.ALB) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PLT > 400 AND T1.Diagnosis = 'SLE' AND T1.SEX = 'F' | moderate | average blood albumin level refers to AVG(ALB); female refers to SEX = 'F'; PLT greater than 400 refers to PLT > 400; 'SLE' refers to diagnosis |
1,196 | thrombosis_prediction | [
"Examination"
] | What is the most common sign of patients with SLE disease? | SELECT Symptoms FROM Examination WHERE Diagnosis = 'SLE' GROUP BY Symptoms ORDER BY COUNT(Symptoms) DESC LIMIT 1 | simple | the most common sign refers to MAX(symptoms); 'SLE' refers to diagnosis |
1,197 | thrombosis_prediction | [
"Patient"
] | When was the medical information on patient number 48473 first documented, and what disease did she have? | SELECT `First Date`, Diagnosis FROM Patient WHERE ID = 48473 | simple | medical information first documented refers to Description; disease refers to diagnosis; patient number refers to id |
1,198 | thrombosis_prediction | [
"Patient"
] | How many female patients were given an APS diagnosis? | SELECT COUNT(ID) FROM Patient WHERE SEX = 'F' AND Diagnosis = 'APS' | simple | female refers to SEX = 'F'; 'APS' refers to diagnosis |
1,199 | thrombosis_prediction | [
"Laboratory"
] | How many patients who underwent testing in 1997 had protein levels outside the normal range? | SELECT COUNT(ID) FROM Laboratory WHERE ALB <= 6.0 OR ALB >= 8.5 AND STRFTIME('%Y', Date) = '1997' | simple | underwent testing in 1997 refers to YEAR(DATE) = '1997'; protein levels within the normal range refers to tp > 6 and tp < 8.5 |