instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
list
attention_mask
list
labels
list
What day did ARchie Roberts die?
SELECT date_of_death FROM table_16527640_3 WHERE player = "Archie Roberts"
[ 2061, 1110, 750, 5923, 3043, 10918, 4656, 30, 46506, 3128, 62, 1659, 62, 22595, 16034, 3084, 62, 20986, 27988, 1821, 62, 18, 33411, 2137, 796, 366, 3163, 3043, 10918, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 1110, 750, 5923, 3043, 10918, 4656, 30, 46506, 3128, 62, 1659, 62, 22595, 16034, 3084, 62, 20986, 27988, 1821, 62, 18, 33411, 2137, 796, 366, 3163, 3043, 10918, 1 ]
what flights leave WASHINGTON and arrive in SAN FRANCISCO on wednesday
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
[ 10919, 13956, 2666, 370, 19436, 290, 9240, 287, 37376, 8782, 20940, 1797, 8220, 319, 29445, 3462, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 3128, 62, 820, 11, 1528, 11, 5474, 33411, 357, 34, 9050, 62, 16, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 19205, 62, 8189, 5357, 27993, 62, 16, 13, 19205, 62, 3672 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 13956, 2666, 370, 19436, 290, 9240, 287, 37376, 8782, 20940, 1797, 8220, 319, 29445, 3462, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 3128, 62, 820, 11, 1528, 11, 5474, 33411, 357, 34, 9050, 62, 16, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 19205, 62, 8189, 5357, 27993, 62, 16, 13, 19205, 62, 3672 ]
how many patients are admitted in emergency and diagnosed for awaiting organ transplant status?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Awaiting organ transplant status"
[ 4919, 867, 3871, 389, 6848, 287, 6334, 290, 14641, 329, 21859, 1618, 23319, 3722, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 40567, 13, 6511, 62, 7839, 796, 366, 32, 10247, 1780, 1618, 23319, 3722, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 389, 6848, 287, 6334, 290, 14641, 329, 21859, 1618, 23319, 3722, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 40567, 13, 6511, 62, 7839, 796, 366, 32, 10247, 1780, 1618, 23319, 3722, 1 ]
Which Round has a School/Club Team of arizona, and a Pick smaller than 298?
SELECT MAX("Round") FROM table_79365 WHERE "School/Club Team" = 'arizona' AND "Pick" < '298'
[ 13828, 10485, 468, 257, 3961, 14, 42350, 4816, 286, 257, 380, 7551, 11, 290, 257, 12346, 4833, 621, 37576, 30, 46506, 25882, 7203, 22685, 4943, 16034, 3084, 62, 3720, 24760, 33411, 366, 26130, 14, 42350, 4816, 1, 796, 705, 283, 528, 4450, 6, 5357, 366, 31686, 1, 1279, 705, 27728, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 10485, 468, 257, 3961, 14, 42350, 4816, 286, 257, 380, 7551, 11, 290, 257, 12346, 4833, 621, 37576, 30, 46506, 25882, 7203, 22685, 4943, 16034, 3084, 62, 3720, 24760, 33411, 366, 26130, 14, 42350, 4816, 1, 796, 705, 283, 528, 4450, 6, 5357, 366, 31686, 1, 1279, 705, 27728, 6 ]
How many White-Russian patients speak Russian?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "RUSS" AND demographic.ethnicity = "WHITE - RUSSIAN"
[ 2437, 867, 2635, 12, 16220, 3871, 2740, 3394, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 16129, 796, 366, 49, 32835, 1, 5357, 16728, 13, 38546, 414, 796, 366, 12418, 12709, 532, 371, 2937, 11584, 1565, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 2635, 12, 16220, 3871, 2740, 3394, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 16129, 796, 366, 49, 32835, 1, 5357, 16728, 13, 38546, 414, 796, 366, 12418, 12709, 532, 371, 2937, 11584, 1565, 1 ]
Name the most number for autom vil club argentino for benedicto campos
SELECT MAX(no) FROM table_21977704_1 WHERE entrant = "Automóvil Club Argentino" AND driver = "Benedicto Campos"
[ 5376, 262, 749, 1271, 329, 3557, 39796, 3430, 1822, 298, 2879, 329, 1888, 276, 713, 78, 1413, 418, 46506, 25882, 7, 3919, 8, 16034, 3084, 62, 28896, 3324, 32869, 62, 16, 33411, 920, 5250, 796, 366, 38062, 10205, 2991, 6289, 12335, 2879, 1, 5357, 4639, 796, 366, 33, 2945, 713, 78, 5425, 418, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 749, 1271, 329, 3557, 39796, 3430, 1822, 298, 2879, 329, 1888, 276, 713, 78, 1413, 418, 46506, 25882, 7, 3919, 8, 16034, 3084, 62, 28896, 3324, 32869, 62, 16, 33411, 920, 5250, 796, 366, 38062, 10205, 2991, 6289, 12335, 2879, 1, 5357, 4639, 796, 366, 33, 2945, 713, 78, 5425, 418, 1 ]
what is the number of patients whose diagnosis is bradycardia and age below 63?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BRADYCARDIA" AND demographic.age < "63"
[ 10919, 318, 262, 1271, 286, 3871, 3025, 13669, 318, 865, 4597, 9517, 544, 290, 2479, 2174, 8093, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 47356, 5958, 796, 366, 11473, 2885, 44816, 9795, 3539, 1, 5357, 16728, 13, 496, 1279, 366, 5066, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 1271, 286, 3871, 3025, 13669, 318, 865, 4597, 9517, 544, 290, 2479, 2174, 8093, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 47356, 5958, 796, 366, 11473, 2885, 44816, 9795, 3539, 1, 5357, 16728, 13, 496, 1279, 366, 5066, 1 ]
since 1433 days ago, had patient 22782 had any l groin intake?
SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22782)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'l groin' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime) >= DATETIME(CURRENT_TIME(), '-1433 day')
[ 20777, 1478, 2091, 1528, 2084, 11, 550, 5827, 30989, 6469, 550, 597, 300, 42247, 10337, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 287, 79, 1133, 85, 658, 62, 33967, 33411, 287, 79, 1133, 85, 658, 62, 33967, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 30989, 6469, 4008, 5357, 287, 79, 1133, 85, 658, 62, 33967, 13 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 20777, 1478, 2091, 1528, 2084, 11, 550, 5827, 30989, 6469, 550, 597, 300, 42247, 10337, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 287, 79, 1133, 85, 658, 62, 33967, 33411, 287, 79, 1133, 85, 658, 62, 33967, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 30989, 6469, 4008, 5357, 287, 79, 1133, 85, 658, 62, 33967, 13 ]
Is it Friday when Prof. Joshua Wall 's classes always meet ?
SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course_offering.friday = 'N' AND instructor.name LIKE '%Joshua Wall%'
[ 3792, 340, 3217, 618, 4415, 13, 20700, 5007, 705, 82, 6097, 1464, 1826, 5633, 46506, 327, 28270, 7, 28104, 796, 657, 16034, 1781, 3268, 21479, 32357, 1268, 1781, 62, 2364, 1586, 6177, 1781, 13, 17319, 62, 312, 796, 1781, 62, 2364, 1586, 13, 17319, 62, 312, 3268, 21479, 32357, 1268, 6011, 62, 259, 7249, 273, 6177, 6011, 62, 259, 7249, 273, 13, 2364, 1586, 62, 312, 796, 1781, 62, 2364, 1586, 13, 2364, 1586, 62, 312, 3268, 21479, 32357, 1268, 21187, 6177, 6011, 62, 259, 7249, 273, 13, 259, 7249, 273, 62, 312, 796, 21187, 13, 259, 7249, 273, 62 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 3792, 340, 3217, 618, 4415, 13, 20700, 5007, 705, 82, 6097, 1464, 1826, 5633, 46506, 327, 28270, 7, 28104, 796, 657, 16034, 1781, 3268, 21479, 32357, 1268, 1781, 62, 2364, 1586, 6177, 1781, 13, 17319, 62, 312, 796, 1781, 62, 2364, 1586, 13, 17319, 62, 312, 3268, 21479, 32357, 1268, 6011, 62, 259, 7249, 273, 6177, 6011, 62, 259, 7249, 273, 13, 2364, 1586, 62, 312, 796, 1781, 62, 2364, 1586, 13, 2364, 1586, 62, 312, 3268, 21479, 32357, 1268, 21187, 6177, 6011, 62, 259, 7249, 273, 13, 259, 7249, 273, 62, 312, 796, 21187, 13, 259, 7249, 273, 62 ]
How many Inhabitants were in the democratic party for an election before 2009 for Mayor of stefano cimatti?
SELECT COUNT("Inhabitants") FROM table_74741 WHERE "Party" = 'democratic party' AND "Mayor" = 'stefano cimatti' AND "Election" < '2009'
[ 2437, 867, 554, 5976, 270, 1187, 547, 287, 262, 10518, 2151, 329, 281, 3071, 878, 3717, 329, 10106, 286, 336, 891, 5733, 269, 320, 34891, 30, 46506, 327, 28270, 7203, 818, 5976, 270, 1187, 4943, 16034, 3084, 62, 48882, 3901, 33411, 366, 33553, 1, 796, 705, 41232, 2151, 6, 5357, 366, 37396, 1, 796, 705, 301, 891, 5733, 269, 320, 34891, 6, 5357, 366, 36, 1564, 1, 1279, 705, 10531, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 554, 5976, 270, 1187, 547, 287, 262, 10518, 2151, 329, 281, 3071, 878, 3717, 329, 10106, 286, 336, 891, 5733, 269, 320, 34891, 30, 46506, 327, 28270, 7203, 818, 5976, 270, 1187, 4943, 16034, 3084, 62, 48882, 3901, 33411, 366, 33553, 1, 796, 705, 41232, 2151, 6, 5357, 366, 37396, 1, 796, 705, 301, 891, 5733, 269, 320, 34891, 6, 5357, 366, 36, 1564, 1, 1279, 705, 10531, 6 ]
Who is the winner when the st kilda score is 13.10.88?
SELECT winner FROM table_28211103_1 WHERE st_kilda_score = "13.10.88"
[ 8241, 318, 262, 8464, 618, 262, 336, 479, 27281, 4776, 318, 1511, 13, 940, 13, 3459, 30, 46506, 8464, 16034, 3084, 62, 2078, 21895, 15197, 62, 16, 33411, 336, 62, 74, 27281, 62, 26675, 796, 366, 1485, 13, 940, 13, 3459, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 318, 262, 8464, 618, 262, 336, 479, 27281, 4776, 318, 1511, 13, 940, 13, 3459, 30, 46506, 8464, 16034, 3084, 62, 2078, 21895, 15197, 62, 16, 33411, 336, 62, 74, 27281, 62, 26675, 796, 366, 1485, 13, 940, 13, 3459, 1 ]
calculate the minimum age of emergency hospital admission patients who were hospitalized for a day.
SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.days_stay = "1"
[ 9948, 3129, 378, 262, 5288, 2479, 286, 6334, 4436, 13938, 3871, 508, 547, 31736, 329, 257, 1110, 13, 46506, 20625, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 16728, 13, 12545, 62, 31712, 796, 366, 16, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9948, 3129, 378, 262, 5288, 2479, 286, 6334, 4436, 13938, 3871, 508, 547, 31736, 329, 257, 1110, 13, 46506, 20625, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 16728, 13, 12545, 62, 31712, 796, 366, 16, 1 ]
Please give me a pie chart to show the market share of different furniture name, which no any company is producing in our records by a pie chart.
SELECT Name, Market_Rate FROM furniture WHERE NOT Furniture_ID IN (SELECT Furniture_ID FROM furniture_manufacte)
[ 5492, 1577, 502, 257, 2508, 8262, 284, 905, 262, 1910, 2648, 286, 1180, 13091, 1438, 11, 543, 645, 597, 1664, 318, 9194, 287, 674, 4406, 416, 257, 2508, 8262, 13, 46506, 6530, 11, 5991, 62, 32184, 16034, 13091, 33411, 5626, 34937, 8089, 62, 2389, 3268, 357, 46506, 34937, 8089, 62, 2389, 16034, 13091, 62, 48119, 68, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5492, 1577, 502, 257, 2508, 8262, 284, 905, 262, 1910, 2648, 286, 1180, 13091, 1438, 11, 543, 645, 597, 1664, 318, 9194, 287, 674, 4406, 416, 257, 2508, 8262, 13, 46506, 6530, 11, 5991, 62, 32184, 16034, 13091, 33411, 5626, 34937, 8089, 62, 2389, 3268, 357, 46506, 34937, 8089, 62, 2389, 16034, 13091, 62, 48119, 68, 8 ]
Which Drawn has Points smaller than 46, and a Position smaller than 20, and a Lost smaller than 19, and an Against of 56?
SELECT "Drawn" FROM table_35672 WHERE "Points" < '46' AND "Position" < '20' AND "Lost" < '19' AND "Against" = '56'
[ 13828, 50061, 468, 11045, 4833, 621, 6337, 11, 290, 257, 23158, 4833, 621, 1160, 11, 290, 257, 9164, 4833, 621, 678, 11, 290, 281, 12914, 286, 7265, 30, 46506, 366, 35, 5791, 1, 16034, 3084, 62, 2327, 43864, 33411, 366, 40710, 1, 1279, 705, 3510, 6, 5357, 366, 26545, 1, 1279, 705, 1238, 6, 5357, 366, 31042, 1, 1279, 705, 1129, 6, 5357, 366, 39276, 1, 796, 705, 3980, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 50061, 468, 11045, 4833, 621, 6337, 11, 290, 257, 23158, 4833, 621, 1160, 11, 290, 257, 9164, 4833, 621, 678, 11, 290, 281, 12914, 286, 7265, 30, 46506, 366, 35, 5791, 1, 16034, 3084, 62, 2327, 43864, 33411, 366, 40710, 1, 1279, 705, 3510, 6, 5357, 366, 26545, 1, 1279, 705, 1238, 6, 5357, 366, 31042, 1, 1279, 705, 1129, 6, 5357, 366, 39276, 1, 796, 705, 3980, 6 ]
what is the total number of patients who had unspecified chronic pulmonary heart disease?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Chronic pulmonary heart disease, unspecified"
[ 10919, 318, 262, 2472, 1271, 286, 3871, 508, 550, 29547, 10726, 45105, 2612, 4369, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 40567, 13, 6511, 62, 7839, 796, 366, 1925, 4565, 45105, 2612, 4369, 11, 29547, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 2472, 1271, 286, 3871, 508, 550, 29547, 10726, 45105, 2612, 4369, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 40567, 13, 6511, 62, 7839, 796, 366, 1925, 4565, 45105, 2612, 4369, 11, 29547, 1 ]
Name the song for draw less than 7 and artists of martin & johannes
SELECT "Song" FROM table_68966 WHERE "Draw" < '7' AND "Artist" = 'martin & johannes'
[ 5376, 262, 3496, 329, 3197, 1342, 621, 767, 290, 7912, 286, 11277, 259, 1222, 474, 1219, 1236, 274, 46506, 366, 44241, 1, 16034, 3084, 62, 40523, 2791, 33411, 366, 25302, 1, 1279, 705, 22, 6, 5357, 366, 43020, 1, 796, 705, 13822, 259, 1222, 474, 1219, 1236, 274, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 3496, 329, 3197, 1342, 621, 767, 290, 7912, 286, 11277, 259, 1222, 474, 1219, 1236, 274, 46506, 366, 44241, 1, 16034, 3084, 62, 40523, 2791, 33411, 366, 25302, 1, 1279, 705, 22, 6, 5357, 366, 43020, 1, 796, 705, 13822, 259, 1222, 474, 1219, 1236, 274, 6 ]
How many games featured a home team scoring 12.18 (90)?
SELECT COUNT("Crowd") FROM table_33456 WHERE "Home team score" = '12.18 (90)'
[ 2437, 867, 1830, 8096, 257, 1363, 1074, 9689, 1105, 13, 1507, 357, 3829, 19427, 46506, 327, 28270, 7203, 34, 3986, 4943, 16034, 3084, 62, 2091, 29228, 33411, 366, 16060, 1074, 4776, 1, 796, 705, 1065, 13, 1507, 357, 3829, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 1830, 8096, 257, 1363, 1074, 9689, 1105, 13, 1507, 357, 3829, 19427, 46506, 327, 28270, 7203, 34, 3986, 4943, 16034, 3084, 62, 2091, 29228, 33411, 366, 16060, 1074, 4776, 1, 796, 705, 1065, 13, 1507, 357, 3829, 33047 ]
Which position has had 7 first-team appearances?
SELECT "Position" FROM table_51193 WHERE "First-Team Appearances" = '7'
[ 13828, 2292, 468, 550, 767, 717, 12, 15097, 11057, 30, 46506, 366, 26545, 1, 16034, 3084, 62, 4349, 24943, 33411, 366, 5962, 12, 15592, 2034, 35630, 1, 796, 705, 22, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 2292, 468, 550, 767, 717, 12, 15097, 11057, 30, 46506, 366, 26545, 1, 16034, 3084, 62, 4349, 24943, 33411, 366, 5962, 12, 15592, 2034, 35630, 1, 796, 705, 22, 6 ]
Where are all the 1485khz frequency located?
SELECT "Location" FROM table_30767 WHERE "Frequency" = '1485kHz'
[ 8496, 389, 477, 262, 1478, 5332, 14636, 89, 8373, 5140, 30, 46506, 366, 14749, 1, 16034, 3084, 62, 22996, 3134, 33411, 366, 37, 28707, 1, 796, 705, 1415, 5332, 44191, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8496, 389, 477, 262, 1478, 5332, 14636, 89, 8373, 5140, 30, 46506, 366, 14749, 1, 16034, 3084, 62, 22996, 3134, 33411, 366, 37, 28707, 1, 796, 705, 1415, 5332, 44191, 6 ]
Stackoverflow Users in your city.
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS Rank, Id AS "user_link", Reputation, Views, UpVotes, DownVotes, WebsiteUrl, Location FROM Users WHERE LOWER(Location) LIKE LOWER('##City:string##') AND Reputation > 1 ORDER BY Reputation DESC
[ 25896, 2502, 11125, 18987, 287, 534, 1748, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 10916, 11, 5121, 7054, 366, 7220, 62, 8726, 1600, 1432, 7094, 11, 29978, 11, 3205, 53, 6421, 11, 5588, 53, 6421, 11, 15887, 28165, 11, 13397, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 406, 36048, 10786, 2235, 14941, 25, 8841, 2235, 11537, 5357, 1432, 7094, 1875, 352, 38678, 11050, 1432, 7094, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 25896, 2502, 11125, 18987, 287, 534, 1748, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 10916, 11, 5121, 7054, 366, 7220, 62, 8726, 1600, 1432, 7094, 11, 29978, 11, 3205, 53, 6421, 11, 5588, 53, 6421, 11, 15887, 28165, 11, 13397, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 406, 36048, 10786, 2235, 14941, 25, 8841, 2235, 11537, 5357, 1432, 7094, 1875, 352, 38678, 11050, 1432, 7094, 22196, 34 ]
What is every entry for Latin when Catalan is Mar?
SELECT latin FROM table_25401_15 WHERE catalan = "mar"
[ 2061, 318, 790, 5726, 329, 9133, 618, 31066, 318, 1526, 30, 46506, 3042, 259, 16034, 3084, 62, 1495, 21844, 62, 1314, 33411, 3797, 25786, 796, 366, 3876, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 790, 5726, 329, 9133, 618, 31066, 318, 1526, 30, 46506, 3042, 259, 16034, 3084, 62, 1495, 21844, 62, 1314, 33411, 3797, 25786, 796, 366, 3876, 1 ]
What is the publication date of the book that is narrated by Michael Maloney?
SELECT published FROM table_2950964_1 WHERE audiobook_narrator = "Michael Maloney"
[ 2061, 318, 262, 9207, 3128, 286, 262, 1492, 326, 318, 46190, 416, 3899, 4434, 1419, 30, 46506, 3199, 16034, 3084, 62, 1959, 29022, 2414, 62, 16, 33411, 40504, 49776, 62, 77, 3258, 1352, 796, 366, 13256, 4434, 1419, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 9207, 3128, 286, 262, 1492, 326, 318, 46190, 416, 3899, 4434, 1419, 30, 46506, 3199, 16034, 3084, 62, 1959, 29022, 2414, 62, 16, 33411, 40504, 49776, 62, 77, 3258, 1352, 796, 366, 13256, 4434, 1419, 1 ]
Where did a home team score 9.9 (63)?
SELECT "Venue" FROM table_32315 WHERE "Home team score" = '9.9 (63)'
[ 8496, 750, 257, 1363, 1074, 4776, 860, 13, 24, 357, 5066, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 32637, 1314, 33411, 366, 16060, 1074, 4776, 1, 796, 705, 24, 13, 24, 357, 5066, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8496, 750, 257, 1363, 1074, 4776, 860, 13, 24, 357, 5066, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 32637, 1314, 33411, 366, 16060, 1074, 4776, 1, 796, 705, 24, 13, 24, 357, 5066, 33047 ]
which was erbedija 's first festival/event where he was nominated but did n't win an award ?
SELECT "group" FROM table_203_191 WHERE "result" = 'nominated' ORDER BY "year" LIMIT 1
[ 4758, 373, 1931, 3077, 34655, 705, 82, 717, 10876, 14, 15596, 810, 339, 373, 19332, 475, 750, 299, 470, 1592, 281, 5764, 5633, 46506, 366, 8094, 1, 16034, 3084, 62, 22416, 62, 26492, 33411, 366, 20274, 1, 796, 705, 26601, 3898, 6, 38678, 11050, 366, 1941, 1, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4758, 373, 1931, 3077, 34655, 705, 82, 717, 10876, 14, 15596, 810, 339, 373, 19332, 475, 750, 299, 470, 1592, 281, 5764, 5633, 46506, 366, 8094, 1, 16034, 3084, 62, 22416, 62, 26492, 33411, 366, 20274, 1, 796, 705, 26601, 3898, 6, 38678, 11050, 366, 1941, 1, 27564, 2043, 352 ]
what is the average value of the systemicdiastolic of patient 029-6419 on the last icu visit?
SELECT AVG(vitalperiodic.systemicdiastolic) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '029-6419') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND NOT vitalperiodic.systemicdiastolic IS NULL
[ 10919, 318, 262, 2811, 1988, 286, 262, 21971, 10989, 459, 4160, 286, 5827, 657, 1959, 12, 2414, 1129, 319, 262, 938, 14158, 84, 3187, 30, 46506, 35224, 7, 85, 1287, 41007, 291, 13, 10057, 291, 10989, 459, 4160, 8, 16034, 9204, 41007, 291, 33411, 9204, 41007, 291, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 48891, 12, 2414, 1129, 11537, 5357, 5626, 5827 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 2811, 1988, 286, 262, 21971, 10989, 459, 4160, 286, 5827, 657, 1959, 12, 2414, 1129, 319, 262, 938, 14158, 84, 3187, 30, 46506, 35224, 7, 85, 1287, 41007, 291, 13, 10057, 291, 10989, 459, 4160, 8, 16034, 9204, 41007, 291, 33411, 9204, 41007, 291, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 48891, 12, 2414, 1129, 11537, 5357, 5626, 5827 ]
count the number of patients whose diagnoses long title is hemochromatosis due to repeated red blood cell transfusions?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Hemochromatosis due to repeated red blood cell transfusions"
[ 9127, 262, 1271, 286, 3871, 3025, 40567, 890, 3670, 318, 16869, 5374, 398, 265, 5958, 2233, 284, 5100, 2266, 2910, 2685, 13501, 15880, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 40567, 13, 6511, 62, 7839, 796, 366, 39, 368, 5374, 398, 265, 5958, 2233, 284, 5100, 2266, 2910, 2685, 13501, 15880, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9127, 262, 1271, 286, 3871, 3025, 40567, 890, 3670, 318, 16869, 5374, 398, 265, 5958, 2233, 284, 5100, 2266, 2910, 2685, 13501, 15880, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 40567, 13, 6511, 62, 7839, 796, 366, 39, 368, 5374, 398, 265, 5958, 2233, 284, 5100, 2266, 2910, 2685, 13501, 15880, 1 ]
What are the gas station ids, locations, and manager names for the gas stations ordered by opening year?
SELECT station_id, location, manager_name FROM gas_station ORDER BY open_year
[ 2061, 389, 262, 3623, 4429, 220, 2340, 11, 7064, 11, 290, 4706, 3891, 329, 262, 3623, 8985, 6149, 416, 4756, 614, 30, 46506, 4429, 62, 312, 11, 4067, 11, 4706, 62, 3672, 16034, 3623, 62, 17529, 38678, 11050, 1280, 62, 1941 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 3623, 4429, 220, 2340, 11, 7064, 11, 290, 4706, 3891, 329, 262, 3623, 8985, 6149, 416, 4756, 614, 30, 46506, 4429, 62, 312, 11, 4067, 11, 4706, 62, 3672, 16034, 3623, 62, 17529, 38678, 11050, 1280, 62, 1941 ]
number of patients who have had a bronchial lavage microbiology test until 2103.
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT microlab.patientunitstayid FROM microlab WHERE microlab.culturesite = 'bronchial lavage' AND STRFTIME('%y', microlab.culturetakentime) <= '2103')
[ 17618, 286, 3871, 508, 423, 550, 257, 18443, 354, 498, 21606, 496, 24559, 1435, 1332, 1566, 362, 15197, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 5827, 13, 403, 1557, 538, 312, 8, 16034, 5827, 33411, 5827, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 4580, 23912, 13, 26029, 20850, 31712, 312, 16034, 4580, 23912, 33411, 4580, 23912, 13, 40820, 942, 578, 796, 705, 65, 1313, 354, 498, 21606, 496, 6, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 4580, 23912, 13, 25584, 83, 461, 298, 524, 8, 19841, 705, 17, 15197, 11537 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 17618, 286, 3871, 508, 423, 550, 257, 18443, 354, 498, 21606, 496, 24559, 1435, 1332, 1566, 362, 15197, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 5827, 13, 403, 1557, 538, 312, 8, 16034, 5827, 33411, 5827, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 4580, 23912, 13, 26029, 20850, 31712, 312, 16034, 4580, 23912, 33411, 4580, 23912, 13, 40820, 942, 578, 796, 705, 65, 1313, 354, 498, 21606, 496, 6, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 4580, 23912, 13, 25584, 83, 461, 298, 524, 8, 19841, 705, 17, 15197, 11537 ]
how many titles are listed ?
SELECT COUNT("title") FROM table_204_631
[ 4919, 867, 8714, 389, 5610, 5633, 46506, 327, 28270, 7203, 7839, 4943, 16034, 3084, 62, 18638, 62, 21, 3132 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 8714, 389, 5610, 5633, 46506, 327, 28270, 7203, 7839, 4943, 16034, 3084, 62, 18638, 62, 21, 3132 ]
How many opponents led to an exactly 7-0 record?
SELECT COUNT(opponent) FROM table_21034801_1 WHERE record = "7-0"
[ 2437, 867, 7691, 2957, 284, 281, 3446, 767, 12, 15, 1700, 30, 46506, 327, 28270, 7, 10365, 3471, 8, 16034, 3084, 62, 21536, 28978, 486, 62, 16, 33411, 1700, 796, 366, 22, 12, 15, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 7691, 2957, 284, 281, 3446, 767, 12, 15, 1700, 30, 46506, 327, 28270, 7, 10365, 3471, 8, 16034, 3084, 62, 21536, 28978, 486, 62, 16, 33411, 1700, 796, 366, 22, 12, 15, 1 ]
If the manufacturer is Yamaha, and the laps driven were under 32, what's the average of all grid sizes with that criteria?
SELECT AVG("Grid") FROM table_49538 WHERE "Laps" < '32' AND "Manufacturer" = 'yamaha'
[ 1532, 262, 11554, 318, 45483, 11, 290, 262, 24590, 7986, 547, 739, 3933, 11, 644, 338, 262, 2811, 286, 477, 10706, 10620, 351, 326, 9987, 30, 46506, 35224, 7203, 41339, 4943, 16034, 3084, 62, 33781, 2548, 33411, 366, 43, 1686, 1, 1279, 705, 2624, 6, 5357, 366, 44445, 15051, 1, 796, 705, 88, 321, 12236, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1532, 262, 11554, 318, 45483, 11, 290, 262, 24590, 7986, 547, 739, 3933, 11, 644, 338, 262, 2811, 286, 477, 10706, 10620, 351, 326, 9987, 30, 46506, 35224, 7203, 41339, 4943, 16034, 3084, 62, 33781, 2548, 33411, 366, 43, 1686, 1, 1279, 705, 2624, 6, 5357, 366, 44445, 15051, 1, 796, 705, 88, 321, 12236, 6 ]
Who wrote the episode with e4515 as the production code?
SELECT written_by FROM table_25750635_2 WHERE production_code = "E4515"
[ 8241, 2630, 262, 4471, 351, 304, 2231, 1314, 355, 262, 3227, 2438, 30, 46506, 3194, 62, 1525, 16034, 3084, 62, 1495, 15426, 48250, 62, 17, 33411, 3227, 62, 8189, 796, 366, 36, 2231, 1314, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 2630, 262, 4471, 351, 304, 2231, 1314, 355, 262, 3227, 2438, 30, 46506, 3194, 62, 1525, 16034, 3084, 62, 1495, 15426, 48250, 62, 17, 33411, 3227, 62, 8189, 796, 366, 36, 2231, 1314, 1 ]
What was the date for the game in week 7?
SELECT "Date" FROM table_52230 WHERE "Week" = '7'
[ 2061, 373, 262, 3128, 329, 262, 983, 287, 1285, 767, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 49542, 1270, 33411, 366, 20916, 1, 796, 705, 22, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 3128, 329, 262, 983, 287, 1285, 767, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 49542, 1270, 33411, 366, 20916, 1, 796, 705, 22, 6 ]
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of first_name and commission_pct , and rank FIRST_NAME from low to high order.
SELECT FIRST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 717, 62, 3672, 290, 5810, 62, 79, 310, 837, 290, 4279, 31328, 62, 20608, 422, 1877, 284, 1029, 1502, 13, 46506, 31328, 62, 20608, 11, 22240, 40373, 62, 47, 4177, 16034, 4409, 33411, 5626, 5550, 30709, 10979, 62, 2389, 3268, 357, 46506, 5550, 30709, 10979, 62, 2389, 16034, 13346, 33411, 17254, 4760, 1137, 62, 2389, 38651, 8845, 1677, 1802, 5357, 939, 8, 38678, 11050, 31328, 62, 20608 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 717, 62, 3672, 290, 5810, 62, 79, 310, 837, 290, 4279, 31328, 62, 20608, 422, 1877, 284, 1029, 1502, 13, 46506, 31328, 62, 20608, 11, 22240, 40373, 62, 47, 4177, 16034, 4409, 33411, 5626, 5550, 30709, 10979, 62, 2389, 3268, 357, 46506, 5550, 30709, 10979, 62, 2389, 16034, 13346, 33411, 17254, 4760, 1137, 62, 2389, 38651, 8845, 1677, 1802, 5357, 939, 8, 38678, 11050, 31328, 62, 20608 ]
please list all NW flights into DENVER
SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'DENVER' AND flight.airline_code = 'NW' AND flight.to_airport = airport_service.airport_code
[ 29688, 1351, 477, 21966, 13956, 656, 37692, 28884, 36, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 11, 1748, 11, 5474, 33411, 1748, 13, 19205, 62, 8189, 796, 9003, 62, 15271, 13, 19205, 62, 8189, 5357, 1748, 13, 19205, 62, 3672, 796, 705, 41819, 5959, 6, 5357, 5474, 13, 958, 1370, 62, 8189, 796, 705, 27605, 6, 5357, 5474, 13, 1462, 62, 958, 634, 796, 9003, 62, 15271, 13, 958, 634, 62, 8189 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 29688, 1351, 477, 21966, 13956, 656, 37692, 28884, 36, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 11, 1748, 11, 5474, 33411, 1748, 13, 19205, 62, 8189, 796, 9003, 62, 15271, 13, 19205, 62, 8189, 5357, 1748, 13, 19205, 62, 3672, 796, 705, 41819, 5959, 6, 5357, 5474, 13, 958, 1370, 62, 8189, 796, 705, 27605, 6, 5357, 5474, 13, 1462, 62, 958, 634, 796, 9003, 62, 15271, 13, 958, 634, 62, 8189 ]
What is the winning team of the race on 31 August with Audi as the winning manufacturer and Timo Scheider as the winning driver?
SELECT winning_team FROM table_name_15 WHERE winning_manufacturer = "audi" AND winning_driver = "timo scheider" AND date = "31 august"
[ 2061, 318, 262, 5442, 1074, 286, 262, 3234, 319, 3261, 2932, 351, 26686, 355, 262, 5442, 11554, 290, 5045, 78, 10011, 1304, 355, 262, 5442, 4639, 30, 46506, 5442, 62, 15097, 16034, 3084, 62, 3672, 62, 1314, 33411, 5442, 62, 48119, 15051, 796, 366, 31330, 1, 5357, 5442, 62, 26230, 796, 366, 16514, 78, 3897, 1304, 1, 5357, 3128, 796, 366, 3132, 16339, 436, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 5442, 1074, 286, 262, 3234, 319, 3261, 2932, 351, 26686, 355, 262, 5442, 11554, 290, 5045, 78, 10011, 1304, 355, 262, 5442, 4639, 30, 46506, 5442, 62, 15097, 16034, 3084, 62, 3672, 62, 1314, 33411, 5442, 62, 48119, 15051, 796, 366, 31330, 1, 5357, 5442, 62, 26230, 796, 366, 16514, 78, 3897, 1304, 1, 5357, 3128, 796, 366, 3132, 16339, 436, 1 ]
Which series episode has a Netflix episode of S03E16?
SELECT series_ep FROM table_name_55 WHERE netflix = "s03e16"
[ 13828, 2168, 4471, 468, 257, 12074, 4471, 286, 311, 3070, 36, 1433, 30, 46506, 2168, 62, 538, 16034, 3084, 62, 3672, 62, 2816, 33411, 2010, 10046, 796, 366, 82, 3070, 68, 1433, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 2168, 4471, 468, 257, 12074, 4471, 286, 311, 3070, 36, 1433, 30, 46506, 2168, 62, 538, 16034, 3084, 62, 3672, 62, 2816, 33411, 2010, 10046, 796, 366, 82, 3070, 68, 1433, 1 ]
How many matches were played by the team that has 473 points for?
SELECT played FROM table_name_31 WHERE points_for = "473"
[ 2437, 867, 7466, 547, 2826, 416, 262, 1074, 326, 468, 604, 4790, 2173, 329, 30, 46506, 2826, 16034, 3084, 62, 3672, 62, 3132, 33411, 2173, 62, 1640, 796, 366, 37804, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 7466, 547, 2826, 416, 262, 1074, 326, 468, 604, 4790, 2173, 329, 30, 46506, 2826, 16034, 3084, 62, 3672, 62, 3132, 33411, 2173, 62, 1640, 796, 366, 37804, 1 ]
What is the smallest decile with a Name of st mary's catholic school?
SELECT MIN("Decile") FROM table_66702 WHERE "Name" = 'st mary''s catholic school'
[ 2061, 318, 262, 18197, 875, 576, 351, 257, 6530, 286, 336, 285, 560, 338, 32171, 4160, 1524, 30, 46506, 20625, 7203, 10707, 576, 4943, 16034, 3084, 62, 2791, 36680, 33411, 366, 5376, 1, 796, 705, 301, 285, 560, 7061, 82, 32171, 4160, 1524, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 18197, 875, 576, 351, 257, 6530, 286, 336, 285, 560, 338, 32171, 4160, 1524, 30, 46506, 20625, 7203, 10707, 576, 4943, 16034, 3084, 62, 2791, 36680, 33411, 366, 5376, 1, 796, 705, 301, 285, 560, 7061, 82, 32171, 4160, 1524, 6 ]
What team with a Game smaller than 18 has the lowest Goal Gain?
SELECT MIN(goal_gain) FROM table_name_31 WHERE game < 18
[ 2061, 1074, 351, 257, 3776, 4833, 621, 1248, 468, 262, 9016, 25376, 21686, 30, 46506, 20625, 7, 35231, 62, 48544, 8, 16034, 3084, 62, 3672, 62, 3132, 33411, 983, 1279, 1248 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 1074, 351, 257, 3776, 4833, 621, 1248, 468, 262, 9016, 25376, 21686, 30, 46506, 20625, 7, 35231, 62, 48544, 8, 16034, 3084, 62, 3672, 62, 3132, 33411, 983, 1279, 1248 ]
what is the last album to win ?
SELECT "album" FROM table_204_655 ORDER BY "year" DESC LIMIT 1
[ 10919, 318, 262, 938, 5062, 284, 1592, 5633, 46506, 366, 40916, 1, 16034, 3084, 62, 18638, 62, 35916, 38678, 11050, 366, 1941, 1, 22196, 34, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 938, 5062, 284, 1592, 5633, 46506, 366, 40916, 1, 16034, 3084, 62, 18638, 62, 35916, 38678, 11050, 366, 1941, 1, 22196, 34, 27564, 2043, 352 ]
What are the types of competition and number of competitions for that type Show bar chart, and rank Y in ascending order.
SELECT Competition_type, COUNT(*) FROM competition GROUP BY Competition_type ORDER BY COUNT(*)
[ 2061, 389, 262, 3858, 286, 5449, 290, 1271, 286, 24174, 329, 326, 2099, 5438, 2318, 8262, 11, 290, 4279, 575, 287, 41988, 1502, 13, 46506, 27348, 62, 4906, 11, 327, 28270, 7, 28104, 16034, 5449, 44441, 11050, 27348, 62, 4906, 38678, 11050, 327, 28270, 7, 28104 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 3858, 286, 5449, 290, 1271, 286, 24174, 329, 326, 2099, 5438, 2318, 8262, 11, 290, 4279, 575, 287, 41988, 1502, 13, 46506, 27348, 62, 4906, 11, 327, 28270, 7, 28104, 16034, 5449, 44441, 11050, 27348, 62, 4906, 38678, 11050, 327, 28270, 7, 28104 ]
Find the number of students whose age is older than the average age for each gender.
SELECT COUNT(*), sex FROM student WHERE age > (SELECT AVG(age) FROM student) GROUP BY sex
[ 16742, 262, 1271, 286, 2444, 3025, 2479, 318, 4697, 621, 262, 2811, 2479, 329, 1123, 5279, 13, 46506, 327, 28270, 46491, 828, 1714, 16034, 3710, 33411, 2479, 1875, 357, 46506, 35224, 7, 496, 8, 16034, 3710, 8, 44441, 11050, 1714 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 262, 1271, 286, 2444, 3025, 2479, 318, 4697, 621, 262, 2811, 2479, 329, 1123, 5279, 13, 46506, 327, 28270, 46491, 828, 1714, 16034, 3710, 33411, 2479, 1875, 357, 46506, 35224, 7, 496, 8, 16034, 3710, 8, 44441, 11050, 1714 ]
At which venue did the away team score 7.7 (49)?
SELECT "Venue" FROM table_33321 WHERE "Away team score" = '7.7 (49)'
[ 2953, 543, 14359, 750, 262, 1497, 1074, 4776, 767, 13, 22, 357, 2920, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 20370, 2481, 33411, 366, 32, 1014, 1074, 4776, 1, 796, 705, 22, 13, 22, 357, 2920, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2953, 543, 14359, 750, 262, 1497, 1074, 4776, 767, 13, 22, 357, 2920, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 20370, 2481, 33411, 366, 32, 1014, 1074, 4776, 1, 796, 705, 22, 13, 22, 357, 2920, 33047 ]
what is diagnoses icd9 code of subject name richard gundlach?
SELECT diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Richard Gundlach"
[ 10919, 318, 40567, 14158, 67, 24, 2438, 286, 2426, 1438, 5527, 446, 915, 358, 75, 620, 30, 46506, 40567, 13, 291, 67, 24, 62, 8189, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 3672, 796, 366, 22245, 23323, 75, 620, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 40567, 14158, 67, 24, 2438, 286, 2426, 1438, 5527, 446, 915, 358, 75, 620, 30, 46506, 40567, 13, 291, 67, 24, 62, 8189, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 3672, 796, 366, 22245, 23323, 75, 620, 1 ]
What is the lowest number of silver medals with a rank of 4 and total medals greater than 1?
SELECT MIN(silver) FROM table_name_68 WHERE rank = 4 AND total > 1
[ 2061, 318, 262, 9016, 1271, 286, 8465, 28057, 351, 257, 4279, 286, 604, 290, 2472, 28057, 3744, 621, 352, 30, 46506, 20625, 7, 40503, 8, 16034, 3084, 62, 3672, 62, 3104, 33411, 4279, 796, 604, 5357, 2472, 1875, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 9016, 1271, 286, 8465, 28057, 351, 257, 4279, 286, 604, 290, 2472, 28057, 3744, 621, 352, 30, 46506, 20625, 7, 40503, 8, 16034, 3084, 62, 3672, 62, 3104, 33411, 4279, 796, 604, 5357, 2472, 1875, 352 ]
Where was Collingwood's away game played?
SELECT venue FROM table_name_3 WHERE away_team = "collingwood"
[ 8496, 373, 7778, 278, 3822, 338, 1497, 983, 2826, 30, 46506, 14359, 16034, 3084, 62, 3672, 62, 18, 33411, 1497, 62, 15097, 796, 366, 26000, 278, 3822, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8496, 373, 7778, 278, 3822, 338, 1497, 983, 2826, 30, 46506, 14359, 16034, 3084, 62, 3672, 62, 18, 33411, 1497, 62, 15097, 796, 366, 26000, 278, 3822, 1 ]
What was the format for the radio with a frequency of 00 96.3 fm?
SELECT "Format" FROM table_63072 WHERE "Frequency" = '00 96.3 fm'
[ 2061, 373, 262, 5794, 329, 262, 5243, 351, 257, 8373, 286, 3571, 9907, 13, 18, 277, 76, 30, 46506, 366, 26227, 1, 16034, 3084, 62, 30005, 4761, 33411, 366, 37, 28707, 1, 796, 705, 405, 9907, 13, 18, 277, 76, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 5794, 329, 262, 5243, 351, 257, 8373, 286, 3571, 9907, 13, 18, 277, 76, 30, 46506, 366, 26227, 1, 16034, 3084, 62, 30005, 4761, 33411, 366, 37, 28707, 1, 796, 705, 405, 9907, 13, 18, 277, 76, 6 ]
What episode number in the season is 'parent trap'?
SELECT "No. in season" FROM table_3318 WHERE "Title" = 'Parent Trap'
[ 2061, 4471, 1271, 287, 262, 1622, 318, 705, 8000, 12840, 30960, 46506, 366, 2949, 13, 287, 1622, 1, 16034, 3084, 62, 2091, 1507, 33411, 366, 19160, 1, 796, 705, 24546, 21914, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 4471, 1271, 287, 262, 1622, 318, 705, 8000, 12840, 30960, 46506, 366, 2949, 13, 287, 1622, 1, 16034, 3084, 62, 2091, 1507, 33411, 366, 19160, 1, 796, 705, 24546, 21914, 6 ]
what is the number of patients whose primary disease is cerebral aneurysm/sda and year of birth is less than 2126?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.dob_year < "2126"
[ 10919, 318, 262, 1271, 286, 3871, 3025, 4165, 4369, 318, 31169, 281, 23365, 893, 76, 14, 82, 6814, 290, 614, 286, 4082, 318, 1342, 621, 362, 19420, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 47356, 5958, 796, 366, 34, 9338, 11473, 1847, 3537, 36, 4261, 56, 12310, 14, 50, 5631, 1, 5357, 16728, 13, 67, 672, 62, 1941, 1279, 366, 17, 19420, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 1271, 286, 3871, 3025, 4165, 4369, 318, 31169, 281, 23365, 893, 76, 14, 82, 6814, 290, 614, 286, 4082, 318, 1342, 621, 362, 19420, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 47356, 5958, 796, 366, 34, 9338, 11473, 1847, 3537, 36, 4261, 56, 12310, 14, 50, 5631, 1, 5357, 16728, 13, 67, 672, 62, 1941, 1279, 366, 17, 19420, 1 ]
provide the number of greek orthodox religious background patients who were admitted in hospital before 2203.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "GREEK ORTHODOX" AND demographic.admityear < "2203"
[ 15234, 485, 262, 1271, 286, 308, 10316, 28299, 4158, 4469, 3871, 508, 547, 6848, 287, 4436, 878, 15629, 18, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 2411, 17035, 796, 366, 38, 11587, 42, 6375, 4221, 3727, 48632, 1, 5357, 16728, 13, 324, 76, 414, 451, 1279, 366, 17572, 18, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 308, 10316, 28299, 4158, 4469, 3871, 508, 547, 6848, 287, 4436, 878, 15629, 18, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 2411, 17035, 796, 366, 38, 11587, 42, 6375, 4221, 3727, 48632, 1, 5357, 16728, 13, 324, 76, 414, 451, 1279, 366, 17572, 18, 1 ]
What is the NHL team that had pick number 32?
SELECT "NHL team" FROM table_36654 WHERE "Pick #" = '32'
[ 2061, 318, 262, 9481, 1074, 326, 550, 2298, 1271, 3933, 30, 46506, 366, 45, 6581, 1074, 1, 16034, 3084, 62, 2623, 39111, 33411, 366, 31686, 1303, 1, 796, 705, 2624, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 9481, 1074, 326, 550, 2298, 1271, 3933, 30, 46506, 366, 45, 6581, 1074, 1, 16034, 3084, 62, 2623, 39111, 33411, 366, 31686, 1303, 1, 796, 705, 2624, 6 ]
Where did Ra'fat Ali play on August 17, 1999?
SELECT venue FROM table_name_35 WHERE date = "august 17, 1999"
[ 8496, 750, 7567, 6, 17359, 12104, 711, 319, 2932, 1596, 11, 7358, 30, 46506, 14359, 16034, 3084, 62, 3672, 62, 2327, 33411, 3128, 796, 366, 7493, 436, 1596, 11, 7358, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8496, 750, 7567, 6, 17359, 12104, 711, 319, 2932, 1596, 11, 7358, 30, 46506, 14359, 16034, 3084, 62, 3672, 62, 2327, 33411, 3128, 796, 366, 7493, 436, 1596, 11, 7358, 1 ]
Who scored the most points in Game 49?
SELECT high_points FROM table_11960407_5 WHERE game = 49
[ 8241, 7781, 262, 749, 2173, 287, 3776, 5125, 30, 46506, 1029, 62, 13033, 16034, 3084, 62, 16315, 1899, 30120, 62, 20, 33411, 983, 796, 5125 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 7781, 262, 749, 2173, 287, 3776, 5125, 30, 46506, 1029, 62, 13033, 16034, 3084, 62, 16315, 1899, 30120, 62, 20, 33411, 983, 796, 5125 ]
provide the number of patients whose admission year is less than 2174 and diagnoses short title is thrush?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2174" AND diagnoses.short_title = "Thrush"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 13938, 614, 318, 1342, 621, 362, 22985, 290, 40567, 1790, 3670, 318, 5636, 1530, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 76, 414, 451, 1279, 366, 17, 22985, 1, 5357, 40567, 13, 19509, 62, 7839, 796, 366, 817, 37357, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 13938, 614, 318, 1342, 621, 362, 22985, 290, 40567, 1790, 3670, 318, 5636, 1530, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 76, 414, 451, 1279, 366, 17, 22985, 1, 5357, 40567, 13, 19509, 62, 7839, 796, 366, 817, 37357, 1 ]
What are the mhz when the profile is 8b?
SELECT bandwidth___mhz__ FROM table_2394927_1 WHERE profile = "8b"
[ 2061, 389, 262, 285, 32179, 618, 262, 7034, 318, 807, 65, 30, 46506, 19484, 17569, 76, 32179, 834, 16034, 3084, 62, 23516, 2920, 1983, 62, 16, 33411, 7034, 796, 366, 23, 65, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 285, 32179, 618, 262, 7034, 318, 807, 65, 30, 46506, 19484, 17569, 76, 32179, 834, 16034, 3084, 62, 23516, 2920, 1983, 62, 16, 33411, 7034, 796, 366, 23, 65, 1 ]
Create a bar chart showing the total number across police force, order by the Y in descending.
SELECT Police_force, COUNT(*) FROM county_public_safety GROUP BY Police_force ORDER BY COUNT(*) DESC
[ 16447, 257, 2318, 8262, 4478, 262, 2472, 1271, 1973, 1644, 2700, 11, 1502, 416, 262, 575, 287, 31491, 13, 46506, 4287, 62, 3174, 11, 327, 28270, 7, 28104, 16034, 7968, 62, 11377, 62, 44708, 44441, 11050, 4287, 62, 3174, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16447, 257, 2318, 8262, 4478, 262, 2472, 1271, 1973, 1644, 2700, 11, 1502, 416, 262, 575, 287, 31491, 13, 46506, 4287, 62, 3174, 11, 327, 28270, 7, 28104, 16034, 7968, 62, 11377, 62, 44708, 44441, 11050, 4287, 62, 3174, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
Visualize a bar chart about the distribution of ACC_Regular_Season and Team_ID , and show by the Y-axis in desc.
SELECT ACC_Regular_Season, Team_ID FROM basketball_match ORDER BY Team_ID DESC
[ 36259, 1096, 257, 2318, 8262, 546, 262, 6082, 286, 15859, 62, 40164, 62, 18960, 290, 4816, 62, 2389, 837, 290, 905, 416, 262, 575, 12, 22704, 287, 1715, 13, 46506, 15859, 62, 40164, 62, 18960, 11, 4816, 62, 2389, 16034, 9669, 62, 15699, 38678, 11050, 4816, 62, 2389, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 36259, 1096, 257, 2318, 8262, 546, 262, 6082, 286, 15859, 62, 40164, 62, 18960, 290, 4816, 62, 2389, 837, 290, 905, 416, 262, 575, 12, 22704, 287, 1715, 13, 46506, 15859, 62, 40164, 62, 18960, 11, 4816, 62, 2389, 16034, 9669, 62, 15699, 38678, 11050, 4816, 62, 2389, 22196, 34 ]
What is the To par for Robert Allenby from Australia
SELECT to_par FROM table_name_6 WHERE country = "australia" AND player = "robert allenby"
[ 2061, 318, 262, 1675, 1582, 329, 5199, 9659, 1525, 422, 4505, 46506, 284, 62, 1845, 16034, 3084, 62, 3672, 62, 21, 33411, 1499, 796, 366, 64, 436, 1373, 544, 1, 5357, 2137, 796, 366, 305, 4835, 477, 268, 1525, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1675, 1582, 329, 5199, 9659, 1525, 422, 4505, 46506, 284, 62, 1845, 16034, 3084, 62, 3672, 62, 21, 33411, 1499, 796, 366, 64, 436, 1373, 544, 1, 5357, 2137, 796, 366, 305, 4835, 477, 268, 1525, 1 ]
what is the school that hosts jim goodman
SELECT "School/Club Team" FROM table_35492 WHERE "Player" = 'jim goodman'
[ 10919, 318, 262, 1524, 326, 11453, 474, 320, 922, 805, 46506, 366, 26130, 14, 42350, 4816, 1, 16034, 3084, 62, 2327, 40256, 33411, 366, 14140, 1, 796, 705, 73, 320, 922, 805, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 1524, 326, 11453, 474, 320, 922, 805, 46506, 366, 26130, 14, 42350, 4816, 1, 16034, 3084, 62, 2327, 40256, 33411, 366, 14140, 1, 796, 705, 73, 320, 922, 805, 6 ]
What is the density of yushan county?
SELECT COUNT("Density") FROM table_617 WHERE "English Name" = 'Yushan County'
[ 2061, 318, 262, 12109, 286, 331, 1530, 272, 7968, 30, 46506, 327, 28270, 7203, 35, 6377, 4943, 16034, 3084, 62, 47941, 33411, 366, 15823, 6530, 1, 796, 705, 56, 1530, 272, 3418, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 12109, 286, 331, 1530, 272, 7968, 30, 46506, 327, 28270, 7203, 35, 6377, 4943, 16034, 3084, 62, 47941, 33411, 366, 15823, 6530, 1, 796, 705, 56, 1530, 272, 3418, 6 ]
How many events are there for each party, order by the the total number in desc please.
SELECT Party_name, COUNT(*) FROM party_events AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID ORDER BY COUNT(*) DESC
[ 2437, 867, 2995, 389, 612, 329, 1123, 2151, 11, 1502, 416, 262, 262, 2472, 1271, 287, 1715, 3387, 13, 46506, 3615, 62, 3672, 11, 327, 28270, 7, 28104, 16034, 2151, 62, 31534, 7054, 309, 16, 32357, 1268, 2151, 7054, 309, 17, 6177, 309, 16, 13, 33553, 62, 2389, 796, 309, 17, 13, 33553, 62, 2389, 44441, 11050, 309, 16, 13, 33553, 62, 2389, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 2995, 389, 612, 329, 1123, 2151, 11, 1502, 416, 262, 262, 2472, 1271, 287, 1715, 3387, 13, 46506, 3615, 62, 3672, 11, 327, 28270, 7, 28104, 16034, 2151, 62, 31534, 7054, 309, 16, 32357, 1268, 2151, 7054, 309, 17, 6177, 309, 16, 13, 33553, 62, 2389, 796, 309, 17, 13, 33553, 62, 2389, 44441, 11050, 309, 16, 13, 33553, 62, 2389, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
What package/option has documentaries as the content, yes as the HDTV, and a television service of history hd?
SELECT package_option FROM table_name_56 WHERE content = "documentaries" AND hdtv = "yes" AND television_service = "history hd"
[ 2061, 5301, 14, 18076, 468, 43014, 355, 262, 2695, 11, 3763, 355, 262, 5572, 6849, 11, 290, 257, 5581, 2139, 286, 2106, 289, 67, 30, 46506, 5301, 62, 18076, 16034, 3084, 62, 3672, 62, 3980, 33411, 2695, 796, 366, 22897, 3166, 1, 5357, 289, 67, 14981, 796, 366, 8505, 1, 5357, 5581, 62, 15271, 796, 366, 23569, 289, 67, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 5301, 14, 18076, 468, 43014, 355, 262, 2695, 11, 3763, 355, 262, 5572, 6849, 11, 290, 257, 5581, 2139, 286, 2106, 289, 67, 30, 46506, 5301, 62, 18076, 16034, 3084, 62, 3672, 62, 3980, 33411, 2695, 796, 366, 22897, 3166, 1, 5357, 289, 67, 14981, 796, 366, 8505, 1, 5357, 5581, 62, 15271, 796, 366, 23569, 289, 67, 1 ]
is there a flight leaving at 1505 from PITTSBURGH to BALTIMORE on 7 25 1991
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((date_day.day_number = 25 AND date_day.month_number = 7 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time = 1505 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
[ 271, 612, 257, 5474, 4305, 379, 6640, 20, 422, 49040, 4694, 38926, 17511, 284, 347, 31429, 3955, 6965, 319, 767, 1679, 10249, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 3128, 62, 820, 11, 1528, 11, 5474, 33411, 14808, 4475, 62, 820, 13, 820, 62, 17618, 796, 1679, 5357, 3128, 62, 820, 13, 8424, 62, 17618, 796, 767, 5357, 3128, 62 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 271, 612, 257, 5474, 4305, 379, 6640, 20, 422, 49040, 4694, 38926, 17511, 284, 347, 31429, 3955, 6965, 319, 767, 1679, 10249, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 3128, 62, 820, 11, 1528, 11, 5474, 33411, 14808, 4475, 62, 820, 13, 820, 62, 17618, 796, 1679, 5357, 3128, 62, 820, 13, 8424, 62, 17618, 796, 767, 5357, 3128, 62 ]
What was the previous school of the ft7in (m) tall player?
SELECT "Previous School" FROM table_27224 WHERE "Height" = 'ft7in (m)'
[ 2061, 373, 262, 2180, 1524, 286, 262, 10117, 22, 259, 357, 76, 8, 7331, 2137, 30, 46506, 366, 21448, 3961, 1, 16034, 3084, 62, 1983, 24137, 33411, 366, 23106, 1, 796, 705, 701, 22, 259, 357, 76, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 2180, 1524, 286, 262, 10117, 22, 259, 357, 76, 8, 7331, 2137, 30, 46506, 366, 21448, 3961, 1, 16034, 3084, 62, 1983, 24137, 33411, 366, 23106, 1, 796, 705, 701, 22, 259, 357, 76, 33047 ]
When Peter Sagan won the youth classification and Thomas Rabou won the most corageous, who won the sprint classification?
SELECT sprint_classification FROM table_25055040_22 WHERE youth_classification = "Peter Sagan" AND most_courageous = "Thomas Rabou"
[ 2215, 5613, 49381, 1839, 262, 6205, 17923, 290, 5658, 28559, 280, 1839, 262, 749, 1162, 496, 516, 11, 508, 1839, 262, 18553, 17923, 30, 46506, 18553, 62, 4871, 2649, 16034, 3084, 62, 9031, 22730, 1821, 62, 1828, 33411, 6205, 62, 4871, 2649, 796, 366, 19727, 49381, 1, 5357, 749, 62, 66, 32885, 516, 796, 366, 22405, 28559, 280, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2215, 5613, 49381, 1839, 262, 6205, 17923, 290, 5658, 28559, 280, 1839, 262, 749, 1162, 496, 516, 11, 508, 1839, 262, 18553, 17923, 30, 46506, 18553, 62, 4871, 2649, 16034, 3084, 62, 9031, 22730, 1821, 62, 1828, 33411, 6205, 62, 4871, 2649, 796, 366, 19727, 49381, 1, 5357, 749, 62, 66, 32885, 516, 796, 366, 22405, 28559, 280, 1 ]
During what years did athletes who attended school in Minnesota play for the Grizzlies?
SELECT "Years for Grizzlies" FROM table_20865 WHERE "School/Club Team" = 'Minnesota'
[ 7191, 644, 812, 750, 10856, 508, 9141, 1524, 287, 8919, 711, 329, 262, 40669, 30, 46506, 366, 40630, 329, 40669, 1, 16034, 3084, 62, 21315, 2996, 33411, 366, 26130, 14, 42350, 4816, 1, 796, 705, 45670, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 7191, 644, 812, 750, 10856, 508, 9141, 1524, 287, 8919, 711, 329, 262, 40669, 30, 46506, 366, 40630, 329, 40669, 1, 16034, 3084, 62, 21315, 2996, 33411, 366, 26130, 14, 42350, 4816, 1, 796, 705, 45670, 6 ]
Bar graph to show how many yearid from different yearid, I want to rank by the total number from low to high.
SELECT yearid, COUNT(yearid) FROM hall_of_fame ORDER BY COUNT(yearid)
[ 10374, 4823, 284, 905, 703, 867, 614, 312, 422, 1180, 614, 312, 11, 314, 765, 284, 4279, 416, 262, 2472, 1271, 422, 1877, 284, 1029, 13, 46506, 614, 312, 11, 327, 28270, 7, 1941, 312, 8, 16034, 6899, 62, 1659, 62, 69, 480, 38678, 11050, 327, 28270, 7, 1941, 312, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10374, 4823, 284, 905, 703, 867, 614, 312, 422, 1180, 614, 312, 11, 314, 765, 284, 4279, 416, 262, 2472, 1271, 422, 1877, 284, 1029, 13, 46506, 614, 312, 11, 327, 28270, 7, 1941, 312, 8, 16034, 6899, 62, 1659, 62, 69, 480, 38678, 11050, 327, 28270, 7, 1941, 312, 8 ]
Name the first elected for kentucky 1
SELECT "First elected" FROM table_74017 WHERE "District" = 'Kentucky 1'
[ 5376, 262, 717, 7018, 329, 479, 298, 5309, 352, 46506, 366, 5962, 7018, 1, 16034, 3084, 62, 4524, 29326, 33411, 366, 44857, 1, 796, 705, 42265, 5309, 352, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 717, 7018, 329, 479, 298, 5309, 352, 46506, 366, 5962, 7018, 1, 16034, 3084, 62, 4524, 29326, 33411, 366, 44857, 1, 796, 705, 42265, 5309, 352, 6 ]
count the number of government health insurance patients who had incision on abdominal wall.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Abdominal wall incision"
[ 9127, 262, 1271, 286, 1230, 1535, 5096, 3871, 508, 550, 753, 1166, 319, 32692, 3355, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 1040, 3874, 796, 366, 28848, 1, 5357, 9021, 13, 19509, 62, 7839, 796, 366, 4826, 3438, 1292, 3355, 753, 1166, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9127, 262, 1271, 286, 1230, 1535, 5096, 3871, 508, 550, 753, 1166, 319, 32692, 3355, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 1040, 3874, 796, 366, 28848, 1, 5357, 9021, 13, 19509, 62, 7839, 796, 366, 4826, 3438, 1292, 3355, 753, 1166, 1 ]
what was the name of the drug prescribed to patient 46480, two times until 11/2105?
SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 46480) AND STRFTIME('%y-%m', prescriptions.startdate) <= '2105-11' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 = 2
[ 10919, 373, 262, 1438, 286, 262, 2563, 14798, 284, 5827, 604, 2414, 1795, 11, 734, 1661, 1566, 1367, 14, 17, 13348, 30, 46506, 256, 16, 13, 30349, 16034, 357, 46506, 34092, 13, 30349, 11, 327, 28270, 7, 18302, 24370, 13, 9688, 4475, 8, 7054, 269, 16, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 604, 2414, 1795, 8, 5357, 19269, 9792, 12789, 10786, 4, 88, 12, 4, 76, 3256, 34092, 13, 9688, 4475, 8, 19841, 705, 17, 13348, 12, 1157, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 262, 1438, 286, 262, 2563, 14798, 284, 5827, 604, 2414, 1795, 11, 734, 1661, 1566, 1367, 14, 17, 13348, 30, 46506, 256, 16, 13, 30349, 16034, 357, 46506, 34092, 13, 30349, 11, 327, 28270, 7, 18302, 24370, 13, 9688, 4475, 8, 7054, 269, 16, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 604, 2414, 1795, 8, 5357, 19269, 9792, 12789, 10786, 4, 88, 12, 4, 76, 3256, 34092, 13, 9688, 4475, 8, 19841, 705, 17, 13348, 12, 1157, 6 ]
What is the FY2008 $mil value associated with a FY2007 $mil value of exactly $120?
SELECT "FY08 $millions" FROM table_27687 WHERE "FY07 $millions" = '$120'
[ 2061, 318, 262, 23639, 11528, 720, 25433, 1988, 3917, 351, 257, 23639, 12726, 720, 25433, 1988, 286, 3446, 720, 10232, 30, 46506, 366, 43833, 2919, 720, 17805, 507, 1, 16034, 3084, 62, 1983, 39925, 33411, 366, 43833, 2998, 720, 17805, 507, 1, 796, 705, 3, 10232, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 23639, 11528, 720, 25433, 1988, 3917, 351, 257, 23639, 12726, 720, 25433, 1988, 286, 3446, 720, 10232, 30, 46506, 366, 43833, 2919, 720, 17805, 507, 1, 16034, 3084, 62, 1983, 39925, 33411, 366, 43833, 2998, 720, 17805, 507, 1, 796, 705, 3, 10232, 6 ]
Which 2006 has a 2012 of a, and a 2011 of 3r?
SELECT "2006" FROM table_41028 WHERE "2012" = 'a' AND "2011" = '3r'
[ 13828, 4793, 468, 257, 2321, 286, 257, 11, 290, 257, 2813, 286, 513, 81, 30, 46506, 366, 13330, 1, 16034, 3084, 62, 33289, 2078, 33411, 366, 6999, 1, 796, 705, 64, 6, 5357, 366, 9804, 1, 796, 705, 18, 81, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 4793, 468, 257, 2321, 286, 257, 11, 290, 257, 2813, 286, 513, 81, 30, 46506, 366, 13330, 1, 16034, 3084, 62, 33289, 2078, 33411, 366, 6999, 1, 796, 705, 64, 6, 5357, 366, 9804, 1, 796, 705, 18, 81, 6 ]
Compare the number of players of different occupations using a bar chart, order in ascending by the Y-axis.
SELECT Occupation, COUNT(Occupation) FROM player GROUP BY Occupation ORDER BY COUNT(Occupation)
[ 41488, 262, 1271, 286, 1938, 286, 1180, 23308, 1262, 257, 2318, 8262, 11, 1502, 287, 41988, 416, 262, 575, 12, 22704, 13, 46506, 15227, 341, 11, 327, 28270, 7, 47658, 341, 8, 16034, 2137, 44441, 11050, 15227, 341, 38678, 11050, 327, 28270, 7, 47658, 341, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 41488, 262, 1271, 286, 1938, 286, 1180, 23308, 1262, 257, 2318, 8262, 11, 1502, 287, 41988, 416, 262, 575, 12, 22704, 13, 46506, 15227, 341, 11, 327, 28270, 7, 47658, 341, 8, 16034, 2137, 44441, 11050, 15227, 341, 38678, 11050, 327, 28270, 7, 47658, 341, 8 ]
provide the number of patients whose year of birth is less than 2041 and drug route is sl?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2041" AND prescriptions.route = "SL"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 614, 286, 4082, 318, 1342, 621, 1160, 3901, 290, 2563, 6339, 318, 1017, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 672, 62, 1941, 1279, 366, 1238, 3901, 1, 5357, 34092, 13, 38629, 796, 366, 8634, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 614, 286, 4082, 318, 1342, 621, 1160, 3901, 290, 2563, 6339, 318, 1017, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 672, 62, 1941, 1279, 366, 1238, 3901, 1, 5357, 34092, 13, 38629, 796, 366, 8634, 1 ]
Which opponent has the event Jungle Fight 6?
SELECT opponent FROM table_name_56 WHERE event = "jungle fight 6"
[ 13828, 6125, 468, 262, 1785, 26411, 10480, 718, 30, 46506, 6125, 16034, 3084, 62, 3672, 62, 3980, 33411, 1785, 796, 366, 73, 13687, 1907, 718, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 6125, 468, 262, 1785, 26411, 10480, 718, 30, 46506, 6125, 16034, 3084, 62, 3672, 62, 3980, 33411, 1785, 796, 366, 73, 13687, 1907, 718, 1 ]
count the number of patients who were diagnosed with polymyalgia rheumatica but did not return to the hospital within 2 months in the previous year.
SELECT (SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'polymyalgia rheumatica') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1) - (SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'polymyalgia rheumatica') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month'))
[ 9127, 262, 1271, 286, 3871, 508, 547, 14641, 351, 7514, 1820, 47111, 374, 258, 16735, 64, 475, 750, 407, 1441, 284, 262, 4436, 1626, 362, 1933, 287, 262, 2180, 614, 13, 46506, 357, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 32796, 62, 312, 8, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 16034, 40567, 62, 291, 67, 32357, 1268, 25349, 6177, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9127, 262, 1271, 286, 3871, 508, 547, 14641, 351, 7514, 1820, 47111, 374, 258, 16735, 64, 475, 750, 407, 1441, 284, 262, 4436, 1626, 362, 1933, 287, 262, 2180, 614, 13, 46506, 357, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 32796, 62, 312, 8, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 16034, 40567, 62, 291, 67, 32357, 1268, 25349, 6177, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189 ]
what is average age of patients whose discharge location is home and primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement ?
SELECT AVG(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT "
[ 10919, 318, 2811, 2479, 286, 3871, 3025, 17655, 4067, 318, 1363, 290, 4165, 4369, 318, 257, 419, 291, 1035, 1648, 19777, 59, 260, 12, 4598, 26370, 38385, 26, 257, 419, 291, 22580, 9014, 5633, 46506, 35224, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 39069, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 32, 9863, 2149, 3268, 12564, 5777, 2149, 40, 45155, 59, 2200, 12, 18227, 3563, 1137, 11929, 2662, 56, 26, 317, 9863, 2149, 26173, 6089, 45285, 2246, 12529, 220, 220, 366 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 2811, 2479, 286, 3871, 3025, 17655, 4067, 318, 1363, 290, 4165, 4369, 318, 257, 419, 291, 1035, 1648, 19777, 59, 260, 12, 4598, 26370, 38385, 26, 257, 419, 291, 22580, 9014, 5633, 46506, 35224, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 39069, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 32, 9863, 2149, 3268, 12564, 5777, 2149, 40, 45155, 59, 2200, 12, 18227, 3563, 1137, 11929, 2662, 56, 26, 317, 9863, 2149, 26173, 6089, 45285, 2246, 12529, 220, 220, 366 ]
Show order ids and the total quantity in each order.
SELECT order_id, SUM(product_quantity) FROM order_items GROUP BY order_id
[ 15307, 1502, 220, 2340, 290, 262, 2472, 12040, 287, 1123, 1502, 13, 46506, 1502, 62, 312, 11, 35683, 7, 11167, 62, 40972, 414, 8, 16034, 1502, 62, 23814, 44441, 11050, 1502, 62, 312 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 1502, 220, 2340, 290, 262, 2472, 12040, 287, 1123, 1502, 13, 46506, 1502, 62, 312, 11, 35683, 7, 11167, 62, 40972, 414, 8, 16034, 1502, 62, 23814, 44441, 11050, 1502, 62, 312 ]
What is the total of all against values for the Corinthians with less than 3 lost?
SELECT COUNT("Against") FROM table_35798 WHERE "Team" = 'corinthians' AND "Lost" < '3'
[ 2061, 318, 262, 2472, 286, 477, 1028, 3815, 329, 262, 39546, 351, 1342, 621, 513, 2626, 30, 46506, 327, 28270, 7203, 39276, 4943, 16034, 3084, 62, 2327, 43240, 33411, 366, 15592, 1, 796, 705, 10215, 9304, 1547, 6, 5357, 366, 31042, 1, 1279, 705, 18, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2472, 286, 477, 1028, 3815, 329, 262, 39546, 351, 1342, 621, 513, 2626, 30, 46506, 327, 28270, 7203, 39276, 4943, 16034, 3084, 62, 2327, 43240, 33411, 366, 15592, 1, 796, 705, 10215, 9304, 1547, 6, 5357, 366, 31042, 1, 1279, 705, 18, 6 ]
i would like to plan a flight on AA from BOSTON to DENVER
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'AA'
[ 72, 561, 588, 284, 1410, 257, 5474, 319, 15923, 422, 347, 10892, 1340, 284, 37692, 28884, 36, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 357, 34, 9050, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 41819, 5959, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 72, 561, 588, 284, 1410, 257, 5474, 319, 15923, 422, 347, 10892, 1340, 284, 37692, 28884, 36, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 357, 34, 9050, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 41819, 5959, 6 ]
What CD has a catalog # of PCR 502?
SELECT "Title" FROM table_70557 WHERE "Catalog #" = 'pcr 502'
[ 2061, 6458, 468, 257, 18388, 1303, 286, 45154, 47233, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 2154, 41948, 33411, 366, 49015, 1303, 1, 796, 705, 79, 6098, 47233, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 6458, 468, 257, 18388, 1303, 286, 45154, 47233, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 2154, 41948, 33411, 366, 49015, 1303, 1, 796, 705, 79, 6098, 47233, 6 ]
Who came in second place when the champion was south dakota school of mines & technology?
SELECT second_place FROM table_2331549_1 WHERE champion = "South Dakota School of Mines & Technology"
[ 8241, 1625, 287, 1218, 1295, 618, 262, 8783, 373, 5366, 288, 461, 4265, 1524, 286, 18446, 1222, 3037, 30, 46506, 1218, 62, 5372, 16034, 3084, 62, 25429, 1314, 2920, 62, 16, 33411, 8783, 796, 366, 14942, 13336, 3961, 286, 33466, 1222, 8987, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 1625, 287, 1218, 1295, 618, 262, 8783, 373, 5366, 288, 461, 4265, 1524, 286, 18446, 1222, 3037, 30, 46506, 1218, 62, 5372, 16034, 3084, 62, 25429, 1314, 2920, 62, 16, 33411, 8783, 796, 366, 14942, 13336, 3961, 286, 33466, 1222, 8987, 1 ]
What is the verb meaning when part 2 is band?
SELECT verb_meaning FROM table_name_36 WHERE part_2 = "band"
[ 2061, 318, 262, 15942, 3616, 618, 636, 362, 318, 4097, 30, 46506, 15942, 62, 24815, 16034, 3084, 62, 3672, 62, 2623, 33411, 636, 62, 17, 796, 366, 3903, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 15942, 3616, 618, 636, 362, 318, 4097, 30, 46506, 15942, 62, 24815, 16034, 3084, 62, 3672, 62, 2623, 33411, 636, 62, 17, 796, 366, 3903, 1 ]
Give me the product type, name and price for all the products supplied by supplier id 3.
SELECT T2.product_type_code, T2.product_name, T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3
[ 23318, 502, 262, 1720, 2099, 11, 1438, 290, 2756, 329, 477, 262, 3186, 14275, 416, 22693, 4686, 513, 13, 46506, 309, 17, 13, 11167, 62, 4906, 62, 8189, 11, 309, 17, 13, 11167, 62, 3672, 11, 309, 17, 13, 11167, 62, 20888, 16034, 1720, 62, 18608, 75, 3183, 7054, 309, 16, 32357, 1268, 3186, 7054, 309, 17, 6177, 309, 16, 13, 11167, 62, 312, 796, 309, 17, 13, 11167, 62, 312, 33411, 309, 16, 13, 18608, 2505, 62, 312, 796, 513 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 23318, 502, 262, 1720, 2099, 11, 1438, 290, 2756, 329, 477, 262, 3186, 14275, 416, 22693, 4686, 513, 13, 46506, 309, 17, 13, 11167, 62, 4906, 62, 8189, 11, 309, 17, 13, 11167, 62, 3672, 11, 309, 17, 13, 11167, 62, 20888, 16034, 1720, 62, 18608, 75, 3183, 7054, 309, 16, 32357, 1268, 3186, 7054, 309, 17, 6177, 309, 16, 13, 11167, 62, 312, 796, 309, 17, 13, 11167, 62, 312, 33411, 309, 16, 13, 18608, 2505, 62, 312, 796, 513 ]
On what date was the venue at Edgbaston?
SELECT date FROM table_name_97 WHERE venue = "edgbaston"
[ 2202, 644, 3128, 373, 262, 14359, 379, 1717, 22296, 45966, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 5607, 33411, 14359, 796, 366, 276, 22296, 45966, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2202, 644, 3128, 373, 262, 14359, 379, 1717, 22296, 45966, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 5607, 33411, 14359, 796, 366, 276, 22296, 45966, 1 ]
How many actors have appeared in each musical. Show a pie chart.
SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID
[ 2437, 867, 10544, 423, 4120, 287, 1123, 10530, 13, 5438, 257, 2508, 8262, 13, 46506, 309, 17, 13, 5376, 11, 327, 28270, 7, 28104, 16034, 8674, 7054, 309, 16, 32357, 1268, 10530, 7054, 309, 17, 6177, 309, 16, 13, 10694, 605, 62, 2389, 796, 309, 17, 13, 10694, 605, 62, 2389, 44441, 11050, 309, 16, 13, 10694, 605, 62, 2389 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 10544, 423, 4120, 287, 1123, 10530, 13, 5438, 257, 2508, 8262, 13, 46506, 309, 17, 13, 5376, 11, 327, 28270, 7, 28104, 16034, 8674, 7054, 309, 16, 32357, 1268, 10530, 7054, 309, 17, 6177, 309, 16, 13, 10694, 605, 62, 2389, 796, 309, 17, 13, 10694, 605, 62, 2389, 44441, 11050, 309, 16, 13, 10694, 605, 62, 2389 ]
Can you draw the trend of avg(attendance) over the year? and display in ascending order by the year.
SELECT year, AVG(attendance) FROM home_game ORDER BY year
[ 6090, 345, 3197, 262, 5182, 286, 42781, 7, 1078, 437, 590, 8, 625, 262, 614, 30, 290, 3359, 287, 41988, 1502, 416, 262, 614, 13, 46506, 614, 11, 35224, 7, 1078, 437, 590, 8, 16034, 1363, 62, 6057, 38678, 11050, 614 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 6090, 345, 3197, 262, 5182, 286, 42781, 7, 1078, 437, 590, 8, 625, 262, 614, 30, 290, 3359, 287, 41988, 1502, 416, 262, 614, 13, 46506, 614, 11, 35224, 7, 1078, 437, 590, 8, 16034, 1363, 62, 6057, 38678, 11050, 614 ]
In the game against Essendon at home, what did the away team score?
SELECT away_team AS score FROM table_name_95 WHERE home_team = "essendon"
[ 818, 262, 983, 1028, 11985, 43153, 379, 1363, 11, 644, 750, 262, 1497, 1074, 4776, 30, 46506, 1497, 62, 15097, 7054, 4776, 16034, 3084, 62, 3672, 62, 3865, 33411, 1363, 62, 15097, 796, 366, 408, 43153, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 818, 262, 983, 1028, 11985, 43153, 379, 1363, 11, 644, 750, 262, 1497, 1074, 4776, 30, 46506, 1497, 62, 15097, 7054, 4776, 16034, 3084, 62, 3672, 62, 3865, 33411, 1363, 62, 15097, 796, 366, 408, 43153, 1 ]
Top 300 users by Reputation in Iran.
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Iran%' ORDER BY Reputation DESC LIMIT 300
[ 9126, 5867, 2985, 416, 1432, 7094, 287, 4068, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 25113, 1600, 5121, 11, 16531, 5376, 11, 1432, 7094, 11, 15887, 28165, 11, 13397, 16034, 18987, 33411, 13397, 34178, 705, 4, 23798, 4, 6, 38678, 11050, 1432, 7094, 22196, 34, 27564, 2043, 5867 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9126, 5867, 2985, 416, 1432, 7094, 287, 4068, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 25113, 1600, 5121, 11, 16531, 5376, 11, 1432, 7094, 11, 15887, 28165, 11, 13397, 16034, 18987, 33411, 13397, 34178, 705, 4, 23798, 4, 6, 38678, 11050, 1432, 7094, 22196, 34, 27564, 2043, 5867 ]
What movie earned $1,659,542 at the box office?
SELECT "Title" FROM table_34137 WHERE "Box office" = '$1,659,542'
[ 2061, 3807, 7366, 720, 16, 11, 36445, 11, 20, 3682, 379, 262, 3091, 2607, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 2682, 19708, 33411, 366, 14253, 2607, 1, 796, 705, 3, 16, 11, 36445, 11, 20, 3682, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 3807, 7366, 720, 16, 11, 36445, 11, 20, 3682, 379, 262, 3091, 2607, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 2682, 19708, 33411, 366, 14253, 2607, 1, 796, 705, 3, 16, 11, 36445, 11, 20, 3682, 6 ]
To take CEE 621 and 611 , what prerequisites are necessary ?
SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE (COURSE_1.number = 621 OR COURSE_1.number = 611) AND COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'CEE'
[ 2514, 1011, 327, 6500, 718, 2481, 290, 718, 1157, 837, 644, 662, 34075, 389, 3306, 5633, 46506, 360, 8808, 1268, 4177, 37384, 5188, 62, 15, 13, 10378, 1823, 11, 37384, 5188, 62, 15, 13, 3672, 11, 37384, 5188, 62, 15, 13, 17618, 16034, 1781, 7054, 37384, 5188, 62, 15, 11, 1781, 7054, 37384, 5188, 62, 16, 11, 1781, 62, 3866, 27614, 33411, 357, 34, 11698, 5188, 62, 16, 13, 17618, 796, 718, 2481, 6375, 37384, 5188, 62, 16, 13, 17618, 796, 718, 1157, 8, 5357, 37384, 5188, 62, 15, 13, 17319, 62, 312, 796, 1781, 62, 3866, 27614, 13, 3866 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2514, 1011, 327, 6500, 718, 2481, 290, 718, 1157, 837, 644, 662, 34075, 389, 3306, 5633, 46506, 360, 8808, 1268, 4177, 37384, 5188, 62, 15, 13, 10378, 1823, 11, 37384, 5188, 62, 15, 13, 3672, 11, 37384, 5188, 62, 15, 13, 17618, 16034, 1781, 7054, 37384, 5188, 62, 15, 11, 1781, 7054, 37384, 5188, 62, 16, 11, 1781, 62, 3866, 27614, 33411, 357, 34, 11698, 5188, 62, 16, 13, 17618, 796, 718, 2481, 6375, 37384, 5188, 62, 16, 13, 17618, 796, 718, 1157, 8, 5357, 37384, 5188, 62, 15, 13, 17319, 62, 312, 796, 1781, 62, 3866, 27614, 13, 3866 ]
Users with non-CW answers in most tags (including deleted users).
SELECT RANK() OVER (ORDER BY COUNT(DISTINCT pt.TagId) DESC) AS Rank, a.OwnerUserId AS "user_link", a.OwnerDisplayName, COUNT(DISTINCT pt.TagId) AS "#_of_tags" FROM Posts AS a INNER JOIN Posts AS q ON a.ParentId = q.Id INNER JOIN PostTags AS pt ON pt.PostId = q.Id WHERE (a.CommunityOwnedDate IS NULL) GROUP BY a.OwnerUserId, a.OwnerDisplayName ORDER BY COUNT(DISTINCT pt.TagId) DESC LIMIT 100
[ 14490, 351, 1729, 12, 43538, 7429, 287, 749, 15940, 357, 8201, 13140, 2985, 737, 46506, 371, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 22196, 34, 8, 7054, 10916, 11, 257, 13, 42419, 12982, 7390, 7054, 366, 7220, 62, 8726, 1600, 257, 13, 42419, 23114, 5376, 11, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 7054, 25113, 62, 1659, 62, 31499, 1, 16034, 12043, 7054, 257, 3268, 21479, 32357, 1268, 12043, 7054, 10662, 6177, 257, 13, 24546, 7390, 796, 10662, 13, 7390, 3268, 21479, 32357 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 14490, 351, 1729, 12, 43538, 7429, 287, 749, 15940, 357, 8201, 13140, 2985, 737, 46506, 371, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 22196, 34, 8, 7054, 10916, 11, 257, 13, 42419, 12982, 7390, 7054, 366, 7220, 62, 8726, 1600, 257, 13, 42419, 23114, 5376, 11, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 7054, 25113, 62, 1659, 62, 31499, 1, 16034, 12043, 7054, 257, 3268, 21479, 32357, 1268, 12043, 7054, 10662, 6177, 257, 13, 24546, 7390, 796, 10662, 13, 7390, 3268, 21479, 32357 ]
Which nationality has a round of 1, and F position from Louisville?
SELECT "Nationality" FROM table_54015 WHERE "Round" = '1' AND "Position" = 'f' AND "College" = 'louisville'
[ 13828, 29835, 468, 257, 2835, 286, 352, 11, 290, 376, 2292, 422, 21525, 30, 46506, 366, 16186, 414, 1, 16034, 3084, 62, 4051, 25150, 33411, 366, 22685, 1, 796, 705, 16, 6, 5357, 366, 26545, 1, 796, 705, 69, 6, 5357, 366, 38951, 1, 796, 705, 75, 280, 271, 4244, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 29835, 468, 257, 2835, 286, 352, 11, 290, 376, 2292, 422, 21525, 30, 46506, 366, 16186, 414, 1, 16034, 3084, 62, 4051, 25150, 33411, 366, 22685, 1, 796, 705, 16, 6, 5357, 366, 26545, 1, 796, 705, 69, 6, 5357, 366, 38951, 1, 796, 705, 75, 280, 271, 4244, 6 ]
What's the German Pluperfect when the Macedonian is /- /- ?
SELECT "German" FROM table_64658 WHERE "Macedonian" = 'беше слушнал/-а/-о'
[ 2061, 338, 262, 2679, 1345, 84, 25833, 618, 262, 25942, 27625, 318, 1220, 12, 1220, 12, 5633, 46506, 366, 16010, 1, 16034, 3084, 62, 2414, 38431, 33411, 366, 44, 2286, 27625, 1, 796, 705, 140, 109, 16843, 141, 230, 16843, 220, 21727, 30143, 35072, 141, 230, 22177, 16142, 30143, 16327, 16142, 16327, 15166, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 338, 262, 2679, 1345, 84, 25833, 618, 262, 25942, 27625, 318, 1220, 12, 1220, 12, 5633, 46506, 366, 16010, 1, 16034, 3084, 62, 2414, 38431, 33411, 366, 44, 2286, 27625, 1, 796, 705, 140, 109, 16843, 141, 230, 16843, 220, 21727, 30143, 35072, 141, 230, 22177, 16142, 30143, 16327, 16142, 16327, 15166, 6 ]
What is the score of the game with the San Diego Padres as the opponent and a record of 11-23?
SELECT "Score" FROM table_67444 WHERE "Opponent" = 'san diego padres' AND "Record" = '11-23'
[ 2061, 318, 262, 4776, 286, 262, 983, 351, 262, 2986, 9500, 40188, 355, 262, 6125, 290, 257, 1700, 286, 1367, 12, 1954, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 3134, 30272, 33411, 366, 27524, 3471, 1, 796, 705, 12807, 4656, 2188, 14841, 411, 6, 5357, 366, 23739, 1, 796, 705, 1157, 12, 1954, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4776, 286, 262, 983, 351, 262, 2986, 9500, 40188, 355, 262, 6125, 290, 257, 1700, 286, 1367, 12, 1954, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 3134, 30272, 33411, 366, 27524, 3471, 1, 796, 705, 12807, 4656, 2188, 14841, 411, 6, 5357, 366, 23739, 1, 796, 705, 1157, 12, 1954, 6 ]
Show id from each meter 300, order by the bars in descending.
SELECT meter_300, ID FROM swimmer ORDER BY meter_300 DESC
[ 15307, 4686, 422, 1123, 16430, 5867, 11, 1502, 416, 262, 9210, 287, 31491, 13, 46506, 16430, 62, 6200, 11, 4522, 16034, 9422, 647, 38678, 11050, 16430, 62, 6200, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 4686, 422, 1123, 16430, 5867, 11, 1502, 416, 262, 9210, 287, 31491, 13, 46506, 16430, 62, 6200, 11, 4522, 16034, 9422, 647, 38678, 11050, 16430, 62, 6200, 22196, 34 ]
What is the method when the record was 3-2?
SELECT "Method" FROM table_47136 WHERE "Record" = '3-2'
[ 2061, 318, 262, 2446, 618, 262, 1700, 373, 513, 12, 17, 30, 46506, 366, 17410, 1, 16034, 3084, 62, 2857, 20809, 33411, 366, 23739, 1, 796, 705, 18, 12, 17, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2446, 618, 262, 1700, 373, 513, 12, 17, 30, 46506, 366, 17410, 1, 16034, 3084, 62, 2857, 20809, 33411, 366, 23739, 1, 796, 705, 18, 12, 17, 6 ]
provide the number of patients whose year of death is less than or equal to 2179 and lab test name is lactate?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2179.0" AND lab.label = "Lactate"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 614, 286, 1918, 318, 1342, 621, 393, 4961, 284, 362, 21738, 290, 2248, 1332, 1438, 318, 26222, 378, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 375, 62, 1941, 19841, 366, 17, 21738, 13, 15, 1, 5357, 2248, 13, 18242, 796, 366, 43, 529, 378, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 614, 286, 1918, 318, 1342, 621, 393, 4961, 284, 362, 21738, 290, 2248, 1332, 1438, 318, 26222, 378, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 375, 62, 1941, 19841, 366, 17, 21738, 13, 15, 1, 5357, 2248, 13, 18242, 796, 366, 43, 529, 378, 1 ]
Find All_Home and Team_ID , and group by attribute ACC_Road, and visualize them by a bar chart, and order in desc by the x axis.
SELECT All_Home, Team_ID FROM basketball_match GROUP BY ACC_Road, All_Home ORDER BY All_Home DESC
[ 16742, 1439, 62, 16060, 290, 4816, 62, 2389, 837, 290, 1448, 416, 11688, 15859, 62, 29197, 11, 290, 38350, 606, 416, 257, 2318, 8262, 11, 290, 1502, 287, 1715, 416, 262, 2124, 16488, 13, 46506, 1439, 62, 16060, 11, 4816, 62, 2389, 16034, 9669, 62, 15699, 44441, 11050, 15859, 62, 29197, 11, 1439, 62, 16060, 38678, 11050, 1439, 62, 16060, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 1439, 62, 16060, 290, 4816, 62, 2389, 837, 290, 1448, 416, 11688, 15859, 62, 29197, 11, 290, 38350, 606, 416, 257, 2318, 8262, 11, 290, 1502, 287, 1715, 416, 262, 2124, 16488, 13, 46506, 1439, 62, 16060, 11, 4816, 62, 2389, 16034, 9669, 62, 15699, 44441, 11050, 15859, 62, 29197, 11, 1439, 62, 16060, 38678, 11050, 1439, 62, 16060, 22196, 34 ]