Datasets:
mohanraj
/
test

Dataset card Data Studio Files
xet
 Community
instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
list
attention_mask
list
labels
list
Who was the away team at Princes Park?
SELECT away_team FROM table_name_26 WHERE venue = "princes park"
[ 8241, 373, 262, 1497, 1074, 379, 7489, 728, 3250, 30, 46506, 1497, 62, 15097, 16034, 3084, 62, 3672, 62, 2075, 33411, 14359, 796, 366, 1050, 17386, 3952, 1, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 8241, 373, 262, 1497, 1074, 379, 7489, 728, 3250, 30, 46506, 1497, 62, 15097, 16034, 3084, 62, 3672, 62, 2075, 33411, 14359, 796, 366, 1050, 17386, 3952, 1, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
Which premier team played the 1951 NSWRFL Grand Final?
SELECT "Premiers" FROM table_50118 WHERE "Details" = '1951 nswrfl grand final'
[ 13828, 18256, 1074, 2826, 262, 27937, 10896, 18564, 3697, 5675, 8125, 30, 46506, 366, 24914, 3183, 1, 16034, 3084, 62, 33548, 1507, 33411, 366, 24259, 1, 796, 705, 1129, 4349, 299, 2032, 81, 2704, 4490, 2457 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 18256, 1074, 2826, 262, 27937, 10896, 18564, 3697, 5675, 8125, 30, 46506, 366, 24914, 3183, 1, 16034, 3084, 62, 33548, 1507, 33411, 366, 24259, 1, 796, 705, 1129, 4349, 299, 2032, 81, 2704, 4490, 2457 ]
Which one has a rank bigger than 2, lane of 1, and is from Hong Kong?
SELECT name FROM table_name_55 WHERE rank > 2 AND lane = 1 AND nationality = "hong kong"
[ 13828, 530, 468, 257, 4279, 5749, 621, 362, 11, 11193, 286, 352, 11, 290, 318, 422, 9764, 9071, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 2816, 33411, 4279, 1875, 362, 5357, 11193, 796, 352, 5357 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 530, 468, 257, 4279, 5749, 621, 362, 11, 11193, 286, 352, 11, 290, 318, 422, 9764, 9071, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 2816, 33411, 4279, 1875, 362, 5357, 11193, 796, 352, 5357 ]
Name the D 47 when it has a D 45 of d 32
SELECT "D 47" FROM table_78244 WHERE "D 45" = 'd 32'
[ 5376, 262, 360, 6298, 618, 340, 468, 257, 360, 4153, 286, 288, 3933, 46506, 366, 35, 6298, 1, 16034, 3084, 62, 3695, 25707, 33411, 366, 35, 4153, 1, 796, 705, 67, 3933, 6, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0 ]
[ 5376, 262, 360, 6298, 618, 340, 468, 257, 360, 4153, 286, 288, 3933, 46506, 366, 35, 6298, 1, 16034, 3084, 62, 3695, 25707, 33411, 366, 35, 4153, 1, 796, 705, 67, 3933, 6, 50256, 50256, 50256 ]
what team scored 65-87
SELECT "Date" FROM table_6309 WHERE "Record" = '65-87'
[ 10919, 1074, 7781, 6135, 12, 5774, 46506, 366, 10430, 1, 16034, 3084, 62, 21, 26895, 33411, 366, 23739, 1, 796, 705, 2996, 12, 5774, 6, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 10919, 1074, 7781, 6135, 12, 5774, 46506, 366, 10430, 1, 16034, 3084, 62, 21, 26895, 33411, 366, 23739, 1, 796, 705, 2996, 12, 5774, 6, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
How many ends lost for Alberta when stolen ends are greater than 7?
SELECT SUM("Ends Lost") FROM table_9712 WHERE "Province" = 'alberta' AND "Stolen Ends" > '7'
[ 2437, 867, 5645, 2626, 329, 15555, 618, 9909, 5645, 389, 3744, 621, 767, 30, 46506, 35683, 7203, 12915, 82, 9164, 4943, 16034, 3084, 62, 5607, 1065, 33411, 366, 15946, 924, 1, 796, 705, 282, 4835, 64 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5645, 2626, 329, 15555, 618, 9909, 5645, 389, 3744, 621, 767, 30, 46506, 35683, 7203, 12915, 82, 9164, 4943, 16034, 3084, 62, 5607, 1065, 33411, 366, 15946, 924, 1, 796, 705, 282, 4835, 64 ]
What is the lowest ranking associated with a total of 23?
SELECT MIN("Ranking") FROM table_74958 WHERE "Total" = '23'
[ 2061, 318, 262, 9016, 12759, 3917, 351, 257, 2472, 286, 2242, 30, 46506, 20625, 7203, 49, 15230, 4943, 16034, 3084, 62, 22, 2920, 3365, 33411, 366, 14957, 1, 796, 705, 1954, 6, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0 ]
[ 2061, 318, 262, 9016, 12759, 3917, 351, 257, 2472, 286, 2242, 30, 46506, 20625, 7203, 49, 15230, 4943, 16034, 3084, 62, 22, 2920, 3365, 33411, 366, 14957, 1, 796, 705, 1954, 6, 50256, 50256, 50256, 50256 ]
What is the nba draft for the player from the hometown of virginia beach, va?
SELECT "NBA Draft" FROM table_17095 WHERE "Hometown" = 'Virginia Beach, VA'
[ 2061, 318, 262, 299, 7012, 4538, 329, 262, 2137, 422, 262, 20994, 286, 21772, 544, 10481, 11, 46935, 30, 46506, 366, 32470, 13650, 1, 16034, 3084, 62, 1558, 2931, 20, 33411, 366, 39, 19191, 1, 796 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 299, 7012, 4538, 329, 262, 2137, 422, 262, 20994, 286, 21772, 544, 10481, 11, 46935, 30, 46506, 366, 32470, 13650, 1, 16034, 3084, 62, 1558, 2931, 20, 33411, 366, 39, 19191, 1, 796 ]
who holds the top record in the 110 m hurdles ?
SELECT "athlete" FROM table_204_550 WHERE "event" = '110 m hurdles'
[ 8727, 6622, 262, 1353, 1700, 287, 262, 9796, 285, 34283, 5633, 46506, 366, 776, 5807, 1, 16034, 3084, 62, 18638, 62, 22730, 33411, 366, 15596, 1, 796, 705, 11442, 285, 34283, 6, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0 ]
[ 8727, 6622, 262, 1353, 1700, 287, 262, 9796, 285, 34283, 5633, 46506, 366, 776, 5807, 1, 16034, 3084, 62, 18638, 62, 22730, 33411, 366, 15596, 1, 796, 705, 11442, 285, 34283, 6, 50256, 50256, 50256, 50256 ]
Where was the episode with series number US9 filmed?
SELECT location_s_ FROM table_19897294_10 WHERE no_in_series = "US9"
[ 8496, 373, 262, 4471, 351, 2168, 1271, 1294, 24, 18976, 30, 46506, 4067, 62, 82, 62, 16034, 3084, 62, 25475, 22, 27696, 62, 940, 33411, 645, 62, 259, 62, 25076, 796, 366, 2937, 24, 1, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 ]
[ 8496, 373, 262, 4471, 351, 2168, 1271, 1294, 24, 18976, 30, 46506, 4067, 62, 82, 62, 16034, 3084, 62, 25475, 22, 27696, 62, 940, 33411, 645, 62, 259, 62, 25076, 796, 366, 2937, 24, 1, 50256 ]
What are the number of the payment dates for any payments that have an amount greater than 10 or were handled by a staff member with the first name Elsa?, I want to display by the Y in descending.
SELECT payment_date, COUNT(payment_date) FROM payment WHERE amount > 10 UNION SELECT T1.payment_date FROM payment AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Elsa' ORDER BY COUNT(payment_date) DESC
[ 2061, 389, 262, 1271, 286, 262, 6074, 9667, 329, 597, 7524, 326, 423, 281, 2033, 3744, 621, 838, 393, 547, 12118, 416, 257, 3085, 2888, 351, 262, 717, 1438, 19226, 21747, 314, 765, 284, 3359, 416 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 262, 6074, 9667, 329, 597, 7524, 326, 423, 281, 2033, 3744, 621, 838, 393, 547, 12118, 416, 257, 3085, 2888, 351, 262, 717, 1438, 19226, 21747, 314, 765, 284, 3359, 416 ]
What is the fewest episodes with the Romaji title Regatta~Kimi to Ita Eien~?
SELECT MIN("Episodes") FROM table_64492 WHERE "Romaji Title" = 'regatta~kimi to ita eien~'
[ 2061, 318, 262, 1178, 395, 8640, 351, 262, 3570, 26436, 3670, 3310, 25014, 93, 42, 25236, 284, 632, 64, 412, 2013, 93, 30, 46506, 20625, 7203, 13807, 8052, 4943, 16034, 3084, 62, 2414, 40256, 33411, 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 ]
[ 2061, 318, 262, 1178, 395, 8640, 351, 262, 3570, 26436, 3670, 3310, 25014, 93, 42, 25236, 284, 632, 64, 412, 2013, 93, 30, 46506, 20625, 7203, 13807, 8052, 4943, 16034, 3084, 62, 2414, 40256, 33411, 366 ]
i need to know what flights leave ATLANTA on sunday evening and arrive in BALTIMORE
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 = 'BALTIMORE' AND date_day.day_number = 27 AND date_day.month_number = 8 AN...
[ 72, 761, 284, 760, 644, 13956, 2666, 5161, 25697, 5603, 319, 37437, 323, 6180, 290, 9240, 287, 347, 31429, 3955, 1581, 33635, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 761, 284, 760, 644, 13956, 2666, 5161, 25697, 5603, 319, 37437, 323, 6180, 290, 9240, 287, 347, 31429, 3955, 1581, 33635, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271 ]
show me nonstop flights from MIAMI to NEW YORK with COACH class fares
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, fare, fare_basis, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NEW YORK' AND fare_basis.class_type = 'COACH' AND fare.fa...
[ 12860, 502, 1729, 11338, 13956, 422, 15789, 43870, 284, 12682, 28154, 351, 7375, 16219, 1398, 33164, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 12860, 502, 1729, 11338, 13956, 422, 15789, 43870, 284, 12682, 28154, 351, 7375, 16219, 1398, 33164, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389 ]
familial / genetic disorders of lipid metabolism
SELECT * FROM table_train_69 WHERE lipid_metabolism = 1
[ 44769, 43475, 1220, 8513, 11916, 286, 34073, 20211, 46506, 1635, 16034, 3084, 62, 27432, 62, 3388, 33411, 34073, 62, 4164, 28426, 1042, 796, 352, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 44769, 43475, 1220, 8513, 11916, 286, 34073, 20211, 46506, 1635, 16034, 3084, 62, 27432, 62, 3388, 33411, 34073, 62, 4164, 28426, 1042, 796, 352, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
Find the number of black/haitian ethnic background patients who had a parathyroid hormone lab test.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND lab.label = "Parathyroid Hormone"
[ 16742, 262, 1271, 286, 2042, 14, 3099, 270, 666, 9450, 4469, 3871, 508, 550, 257, 1582, 10036, 3882, 17770, 2248, 1332, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 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 ]
[ 16742, 262, 1271, 286, 2042, 14, 3099, 270, 666, 9450, 4469, 3871, 508, 550, 257, 1582, 10036, 3882, 17770, 2248, 1332, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8 ]
What is the relationship between author_tutor_ATB and gender_mf ?
SELECT author_tutor_ATB, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name
[ 2061, 318, 262, 2776, 1022, 1772, 62, 83, 38409, 62, 1404, 33, 290, 5279, 62, 76, 69, 5633, 46506, 1772, 62, 83, 38409, 62, 1404, 33, 11, 5279, 62, 76, 69, 16034, 20537, 62, 30515, 669 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2776, 1022, 1772, 62, 83, 38409, 62, 1404, 33, 290, 5279, 62, 76, 69, 5633, 46506, 1772, 62, 83, 38409, 62, 1404, 33, 11, 5279, 62, 76, 69, 16034, 20537, 62, 30515, 669 ]
what are the fares for flights from CHARLOTTE to NEWARK on tuesday and wednesday
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight AS FLIGHT_0, flight AS FLIGHT_1, flight_fare AS FLIGHT_FARE, flight_fare ...
[ 10919, 389, 262, 33164, 329, 13956, 422, 28521, 43, 2394, 9328, 284, 12682, 14175, 319, 256, 3322, 290, 29445, 3462, 46506, 360, 8808, 1268, 4177, 14505, 13, 9496, 62, 312, 16034, 9003, 62, 15271, 7054, 31600 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 389, 262, 33164, 329, 13956, 422, 28521, 43, 2394, 9328, 284, 12682, 14175, 319, 256, 3322, 290, 29445, 3462, 46506, 360, 8808, 1268, 4177, 14505, 13, 9496, 62, 312, 16034, 9003, 62, 15271, 7054, 31600 ]
when was the last time that patient 13054 had a intake of .9% normal saline on this month/25?
SELECT inputevents_cv.charttime 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 = 13054)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label...
[ 12518, 373, 262, 938, 640, 326, 5827, 11323, 4051, 550, 257, 10337, 286, 764, 24, 4, 3487, 47375, 319, 428, 1227, 14, 1495, 30, 46506, 287, 79, 1133, 85, 658, 62, 33967, 13, 40926, 2435, 16034 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 12518, 373, 262, 938, 640, 326, 5827, 11323, 4051, 550, 257, 10337, 286, 764, 24, 4, 3487, 47375, 319, 428, 1227, 14, 1495, 30, 46506, 287, 79, 1133, 85, 658, 62, 33967, 13, 40926, 2435, 16034 ]
What seasons does Nick lucas appear?
SELECT main_cast_seasons FROM table_12441518_1 WHERE character = "Nick Lucas"
[ 2061, 7028, 857, 8047, 17115, 292, 1656, 30, 46506, 1388, 62, 2701, 62, 325, 2812, 16034, 3084, 62, 1065, 2598, 1314, 1507, 62, 16, 33411, 2095, 796, 366, 23609, 15257, 1, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0 ]
[ 2061, 7028, 857, 8047, 17115, 292, 1656, 30, 46506, 1388, 62, 2701, 62, 325, 2812, 16034, 3084, 62, 1065, 2598, 1314, 1507, 62, 16, 33411, 2095, 796, 366, 23609, 15257, 1, 50256, 50256, 50256, 50256, 50256 ]
How many episodes were in the season that ended on April 29, 1986?
SELECT AVG(episodes) FROM table_name_65 WHERE last_airdate = "april 29, 1986"
[ 2437, 867, 8640, 547, 287, 262, 1622, 326, 4444, 319, 3035, 2808, 11, 12113, 30, 46506, 35224, 7, 538, 8052, 8, 16034, 3084, 62, 3672, 62, 2996, 33411, 938, 62, 958, 4475, 796, 366, 499, 22379 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8640, 547, 287, 262, 1622, 326, 4444, 319, 3035, 2808, 11, 12113, 30, 46506, 35224, 7, 538, 8052, 8, 16034, 3084, 62, 3672, 62, 2996, 33411, 938, 62, 958, 4475, 796, 366, 499, 22379 ]
What is the e/vap value for a turnout of exactly 85.7%?
SELECT E / vap FROM table_2683116_1 WHERE turnout = "85.7%"
[ 2061, 318, 262, 304, 14, 85, 499, 1988, 329, 257, 21666, 286, 3446, 7600, 13, 22, 4, 30, 46506, 412, 1220, 38187, 16034, 3084, 62, 2075, 5999, 18298, 62, 16, 33411, 21666, 796, 366, 5332, 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 ]
[ 2061, 318, 262, 304, 14, 85, 499, 1988, 329, 257, 21666, 286, 3446, 7600, 13, 22, 4, 30, 46506, 412, 1220, 38187, 16034, 3084, 62, 2075, 5999, 18298, 62, 16, 33411, 21666, 796, 366, 5332, 13 ]
list all the flights that arrive at MKE airport
SELECT DISTINCT flight.flight_id FROM airport, airport_service, city, flight WHERE airport.airport_code = 'MKE' AND city.city_code = airport_service.city_code AND flight.from_airport = airport_service.airport_code AND flight.to_airport = airport.airport_code
[ 4868, 477, 262, 13956, 326, 9240, 379, 337, 7336, 9003, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 11, 9003, 62, 15271, 11, 1748, 11, 5474, 33411, 9003, 13, 958, 634, 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 ]
[ 4868, 477, 262, 13956, 326, 9240, 379, 337, 7336, 9003, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 11, 9003, 62, 15271, 11, 1748, 11, 5474, 33411, 9003, 13, 958, 634, 62 ]
All answers that have a negative score.
SELECT * FROM Posts WHERE Score < -20 AND PostTypeId = 2 LIMIT 50
[ 3237, 7429, 326, 423, 257, 4633, 4776, 13, 46506, 1635, 16034, 12043, 33411, 15178, 1279, 532, 1238, 5357, 2947, 6030, 7390, 796, 362, 27564, 2043, 2026, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 3237, 7429, 326, 423, 257, 4633, 4776, 13, 46506, 1635, 16034, 12043, 33411, 15178, 1279, 532, 1238, 5357, 2947, 6030, 7390, 796, 362, 27564, 2043, 2026, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
what is the date of death of subject id 2560?
SELECT demographic.dod FROM demographic WHERE demographic.subject_id = "2560"
[ 10919, 318, 262, 3128, 286, 1918, 286, 2426, 4686, 1679, 1899, 30, 46506, 16728, 13, 67, 375, 16034, 16728, 33411, 16728, 13, 32796, 62, 312, 796, 366, 1495, 1899, 1, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0 ]
[ 10919, 318, 262, 3128, 286, 1918, 286, 2426, 4686, 1679, 1899, 30, 46506, 16728, 13, 67, 375, 16034, 16728, 33411, 16728, 13, 32796, 62, 312, 796, 366, 1495, 1899, 1, 50256, 50256, 50256, 50256, 50256, 50256 ]
How many patients died before the year 2186 and were diagnosed with icd9 code 7778?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2186.0" AND diagnoses.icd9_code = "7778"
[ 2437, 867, 3871, 3724, 878, 262, 614, 362, 25096, 290, 547, 14641, 351, 14158, 67, 24, 2438, 35534, 23, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3871, 3724, 878, 262, 614, 362, 25096, 290, 547, 14641, 351, 14158, 67, 24, 2438, 35534, 23, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728 ]
Show party names and the number of events for each party.
SELECT T2.party_name, COUNT(*) FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id
[ 15307, 2151, 3891, 290, 262, 1271, 286, 2995, 329, 1123, 2151, 13, 46506, 309, 17, 13, 10608, 62, 3672, 11, 327, 28270, 7, 28104, 16034, 2151, 62, 31534, 7054, 309, 16, 32357, 1268, 2151, 7054, 309 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2151, 3891, 290, 262, 1271, 286, 2995, 329, 1123, 2151, 13, 46506, 309, 17, 13, 10608, 62, 3672, 11, 327, 28270, 7, 28104, 16034, 2151, 62, 31534, 7054, 309, 16, 32357, 1268, 2151, 7054, 309 ]
How many periods had 15 goals?
SELECT COUNT(period) FROM table_24565004_11 WHERE goals¹ = 15
[ 2437, 867, 9574, 550, 1315, 4661, 30, 46506, 327, 28270, 7, 41007, 8, 16034, 3084, 62, 22995, 2996, 22914, 62, 1157, 33411, 4661, 126, 117, 796, 1315, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 2437, 867, 9574, 550, 1315, 4661, 30, 46506, 327, 28270, 7, 41007, 8, 16034, 3084, 62, 22995, 2996, 22914, 62, 1157, 33411, 4661, 126, 117, 796, 1315, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
which region has the most population ?
SELECT "region" FROM table_201_11 ORDER BY "population" DESC LIMIT 1
[ 4758, 3814, 468, 262, 749, 3265, 5633, 46506, 366, 36996, 1, 16034, 3084, 62, 1264, 62, 1157, 38678, 11050, 366, 39748, 1, 22196, 34, 27564, 2043, 352, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 4758, 3814, 468, 262, 749, 3265, 5633, 46506, 366, 36996, 1, 16034, 3084, 62, 1264, 62, 1157, 38678, 11050, 366, 39748, 1, 22196, 34, 27564, 2043, 352, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
What is the highest elevation in m of the bon irau peak, which has a col greater than 0 m and a prominence less than 1,900 m?
SELECT MAX("Elevation (m)") FROM table_14241 WHERE "Col (m)" > '0' AND "Peak" = 'bon irau' AND "Prominence (m)" < '1,900'
[ 2061, 318, 262, 4511, 22910, 287, 285, 286, 262, 5351, 4173, 559, 9103, 11, 543, 468, 257, 951, 3744, 621, 657, 285, 290, 257, 31198, 1342, 621, 352, 11, 12865, 285, 30, 46506, 25882, 7203, 36 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4511, 22910, 287, 285, 286, 262, 5351, 4173, 559, 9103, 11, 543, 468, 257, 951, 3744, 621, 657, 285, 290, 257, 31198, 1342, 621, 352, 11, 12865, 285, 30, 46506, 25882, 7203, 36 ]
what's the software executable space protection with dbeingtribution being gentoo
SELECT "Software executable space protection" FROM table_18851 WHERE "Distribution" = 'Gentoo'
[ 10919, 338, 262, 3788, 28883, 2272, 4800, 351, 288, 11873, 83, 3890, 852, 25049, 2238, 46506, 366, 25423, 28883, 2272, 4800, 1, 16034, 3084, 62, 20356, 4349, 33411, 366, 20344, 3890, 1, 796, 705, 38, 298 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 338, 262, 3788, 28883, 2272, 4800, 351, 288, 11873, 83, 3890, 852, 25049, 2238, 46506, 366, 25423, 28883, 2272, 4800, 1, 16034, 3084, 62, 20356, 4349, 33411, 366, 20344, 3890, 1, 796, 705, 38, 298 ]
Name the position for ron lalonde
SELECT position FROM table_1473672_4 WHERE player = "Ron Lalonde"
[ 5376, 262, 2292, 329, 374, 261, 300, 282, 14378, 46506, 2292, 16034, 3084, 62, 20198, 2623, 4761, 62, 19, 33411, 2137, 796, 366, 23672, 36683, 14378, 1, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 5376, 262, 2292, 329, 374, 261, 300, 282, 14378, 46506, 2292, 16034, 3084, 62, 20198, 2623, 4761, 62, 19, 33411, 2137, 796, 366, 23672, 36683, 14378, 1, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
What is the lowest Bronze with a 17 Rank and a Total less than 5
SELECT MIN(bronze) FROM table_name_30 WHERE rank = "17" AND total < 5
[ 2061, 318, 262, 9016, 19461, 351, 257, 1596, 10916, 290, 257, 7472, 1342, 621, 642, 46506, 20625, 7, 65, 1313, 2736, 8, 16034, 3084, 62, 3672, 62, 1270, 33411, 4279, 796, 366, 1558, 1, 5357, 2472 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 19461, 351, 257, 1596, 10916, 290, 257, 7472, 1342, 621, 642, 46506, 20625, 7, 65, 1313, 2736, 8, 16034, 3084, 62, 3672, 62, 1270, 33411, 4279, 796, 366, 1558, 1, 5357, 2472 ]
A bar chart about what are the names of climbers and the corresponding heights of the mountains that they climb?, display in desc by the bars please.
SELECT T1.Name, T2.Height FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID ORDER BY T1.Name DESC
[ 32, 2318, 8262, 546, 644, 389, 262, 3891, 286, 39311, 290, 262, 11188, 23245, 286, 262, 12269, 326, 484, 12080, 21747, 3359, 287, 1715, 416, 262, 9210, 3387, 13, 46506, 309, 16, 13, 5376, 11, 309 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2318, 8262, 546, 644, 389, 262, 3891, 286, 39311, 290, 262, 11188, 23245, 286, 262, 12269, 326, 484, 12080, 21747, 3359, 287, 1715, 416, 262, 9210, 3387, 13, 46506, 309, 16, 13, 5376, 11, 309 ]
calculate the number of people who had a total protein lab test the last year.
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'total protein' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year'))
[ 9948, 3129, 378, 262, 1271, 286, 661, 508, 550, 257, 2472, 7532, 2248, 1332, 262, 938, 614, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 5827, 13, 403, 1557, 538, 312, 8, 16034, 5827, 33411 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 661, 508, 550, 257, 2472, 7532, 2248, 1332, 262, 938, 614, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 5827, 13, 403, 1557, 538, 312, 8, 16034, 5827, 33411 ]
What are all Tamil months when the season in English is monsoon?
SELECT tamil_months FROM table_1740431_3 WHERE season_in_english = "Monsoon"
[ 2061, 389, 477, 32519, 1933, 618, 262, 1622, 287, 3594, 318, 937, 36194, 30, 46506, 21885, 346, 62, 41537, 16034, 3084, 62, 1558, 26429, 3132, 62, 18, 33411, 1622, 62, 259, 62, 39126, 796, 366, 9069 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 477, 32519, 1933, 618, 262, 1622, 287, 3594, 318, 937, 36194, 30, 46506, 21885, 346, 62, 41537, 16034, 3084, 62, 1558, 26429, 3132, 62, 18, 33411, 1622, 62, 259, 62, 39126, 796, 366, 9069 ]
What was the number of seasons that was directed by Joanna Kerns?
SELECT COUNT(season__number) FROM table_17356106_1 WHERE directed_by = "Joanna Kerns"
[ 2061, 373, 262, 1271, 286, 7028, 326, 373, 7924, 416, 5302, 7697, 49132, 82, 30, 46506, 327, 28270, 7, 6230, 834, 17618, 8, 16034, 3084, 62, 1558, 32066, 15801, 62, 16, 33411, 7924, 62, 1525, 796 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 7028, 326, 373, 7924, 416, 5302, 7697, 49132, 82, 30, 46506, 327, 28270, 7, 6230, 834, 17618, 8, 16034, 3084, 62, 1558, 32066, 15801, 62, 16, 33411, 7924, 62, 1525, 796 ]
What is the most podiums Pedro Nunes had when in 17th position?
SELECT MAX(podiums) FROM table_25386974_1 WHERE position = "17th"
[ 2061, 318, 262, 749, 27941, 82, 28855, 42502, 550, 618, 287, 1596, 400, 2292, 30, 46506, 25882, 7, 79, 12664, 82, 8, 16034, 3084, 62, 1495, 2548, 3388, 4524, 62, 16, 33411, 2292, 796, 366, 1558 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 749, 27941, 82, 28855, 42502, 550, 618, 287, 1596, 400, 2292, 30, 46506, 25882, 7, 79, 12664, 82, 8, 16034, 3084, 62, 1495, 2548, 3388, 4524, 62, 16, 33411, 2292, 796, 366, 1558 ]
Show me about the correlation between Snatch and Total in a scatter chart.
SELECT Snatch, Total FROM body_builder
[ 15307, 502, 546, 262, 16096, 1022, 5489, 963, 290, 7472, 287, 257, 41058, 8262, 13, 46506, 5489, 963, 11, 7472, 16034, 1767, 62, 38272, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 15307, 502, 546, 262, 16096, 1022, 5489, 963, 290, 7472, 287, 257, 41058, 8262, 13, 46506, 5489, 963, 11, 7472, 16034, 1767, 62, 38272, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
can you tell me how to get from the airport in PHILADELPHIA to downtown
SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'PHILADELPHIA' AND ground_service.city_code = city.city_code
[ 5171, 345, 1560, 502, 703, 284, 651, 422, 262, 9003, 287, 9370, 4146, 2885, 3698, 11909, 3539, 284, 9436, 46506, 360, 8808, 1268, 4177, 2323, 62, 15271, 13, 7645, 634, 62, 4906, 16034, 1748, 11, 2323 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5171, 345, 1560, 502, 703, 284, 651, 422, 262, 9003, 287, 9370, 4146, 2885, 3698, 11909, 3539, 284, 9436, 46506, 360, 8808, 1268, 4177, 2323, 62, 15271, 13, 7645, 634, 62, 4906, 16034, 1748, 11, 2323 ]
What is the nationality of the player from Drexel who had a pick larger than 183?
SELECT "Nationality" FROM table_75085 WHERE "Pick" > '183' AND "School/Club Team" = 'drexel'
[ 2061, 318, 262, 29835, 286, 262, 2137, 422, 360, 21510, 417, 508, 550, 257, 2298, 4025, 621, 28551, 30, 46506, 366, 16186, 414, 1, 16034, 3084, 62, 15426, 5332, 33411, 366, 31686, 1, 1875, 705, 24839 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 29835, 286, 262, 2137, 422, 360, 21510, 417, 508, 550, 257, 2298, 4025, 621, 28551, 30, 46506, 366, 16186, 414, 1, 16034, 3084, 62, 15426, 5332, 33411, 366, 31686, 1, 1875, 705, 24839 ]
what was the name of procedure, that patient 012-66291 was first received since 2105?
SELECT treatment.treatmentname FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-66291')) AND STRFTIME('%y', treatment.treatmenttime) >= '2105...
[ 10919, 373, 262, 1438, 286, 8771, 11, 326, 5827, 5534, 17, 12, 2791, 33551, 373, 717, 2722, 1201, 362, 13348, 30, 46506, 3513, 13, 42487, 3672, 16034, 3513, 33411, 3513, 13, 26029, 20850, 31712, 312, 3268 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8771, 11, 326, 5827, 5534, 17, 12, 2791, 33551, 373, 717, 2722, 1201, 362, 13348, 30, 46506, 3513, 13, 42487, 3672, 16034, 3513, 33411, 3513, 13, 26029, 20850, 31712, 312, 3268 ]
What is the 2009 10 when the 2007 08 shows n/a, and an Event of colonial square ladies classic?
SELECT "2009\u201310" FROM table_40211 WHERE "2007\u201308" = 'n/a' AND "Event" = 'colonial square ladies classic'
[ 2061, 318, 262, 3717, 838, 618, 262, 4343, 8487, 2523, 299, 14, 64, 11, 290, 281, 8558, 286, 17091, 6616, 17308, 6833, 30, 46506, 366, 10531, 59, 84, 6390, 940, 1, 16034, 3084, 62, 1821, 21895 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3717, 838, 618, 262, 4343, 8487, 2523, 299, 14, 64, 11, 290, 281, 8558, 286, 17091, 6616, 17308, 6833, 30, 46506, 366, 10531, 59, 84, 6390, 940, 1, 16034, 3084, 62, 1821, 21895 ]
Which heat and lane was in rank of 22?
SELECT "Heat (Lane)" FROM table_4612 WHERE "Rank" = '22'
[ 13828, 4894, 290, 11193, 373, 287, 4279, 286, 2534, 30, 46506, 366, 39596, 357, 43, 1531, 16725, 16034, 3084, 62, 3510, 1065, 33411, 366, 27520, 1, 796, 705, 1828, 6, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0 ]
[ 13828, 4894, 290, 11193, 373, 287, 4279, 286, 2534, 30, 46506, 366, 39596, 357, 43, 1531, 16725, 16034, 3084, 62, 3510, 1065, 33411, 366, 27520, 1, 796, 705, 1828, 6, 50256, 50256, 50256, 50256, 50256, 50256 ]
what's the highest position with artbeingt being frankie avalon
SELECT highest_position FROM table_13805432_2 WHERE artist = "Frankie Avalon"
[ 10919, 338, 262, 4511, 2292, 351, 1242, 11873, 83, 852, 14346, 494, 37441, 261, 46506, 4511, 62, 9150, 16034, 3084, 62, 1485, 1795, 4051, 2624, 62, 17, 33411, 6802, 796, 366, 17439, 494, 39600, 1, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 ]
[ 10919, 338, 262, 4511, 2292, 351, 1242, 11873, 83, 852, 14346, 494, 37441, 261, 46506, 4511, 62, 9150, 16034, 3084, 62, 1485, 1795, 4051, 2624, 62, 17, 33411, 6802, 796, 366, 17439, 494, 39600, 1, 50256 ]
What was the result for years prior to 2005?
SELECT result FROM table_name_83 WHERE year < 2005
[ 2061, 373, 262, 1255, 329, 812, 3161, 284, 5075, 30, 46506, 1255, 16034, 3084, 62, 3672, 62, 5999, 33411, 614, 1279, 5075, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 2061, 373, 262, 1255, 329, 812, 3161, 284, 5075, 30, 46506, 1255, 16034, 3084, 62, 3672, 62, 5999, 33411, 614, 1279, 5075, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
How many candidates won the election of john n. sandlin?
SELECT COUNT(candidates) FROM table_1342426_18 WHERE incumbent = "John N. Sandlin"
[ 2437, 867, 5871, 1839, 262, 3071, 286, 45610, 299, 13, 6450, 2815, 30, 46506, 327, 28270, 7, 46188, 37051, 8, 16034, 3084, 62, 19880, 1731, 2075, 62, 1507, 33411, 23526, 796, 366, 7554, 399, 13, 3837 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5871, 1839, 262, 3071, 286, 45610, 299, 13, 6450, 2815, 30, 46506, 327, 28270, 7, 46188, 37051, 8, 16034, 3084, 62, 19880, 1731, 2075, 62, 1507, 33411, 23526, 796, 366, 7554, 399, 13, 3837 ]
have had diabetes for at least 1 year, and in good control ( hba1c less than 8.5 % )
SELECT * FROM table_dev_22 WHERE diabetes = 1 AND hemoglobin_a1c_hba1c < 8.5
[ 14150, 550, 12593, 329, 379, 1551, 352, 614, 11, 290, 287, 922, 1630, 357, 289, 7012, 16, 66, 1342, 621, 807, 13, 20, 4064, 1267, 46506, 1635, 16034, 3084, 62, 7959, 62, 1828, 33411, 12593, 796 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 14150, 550, 12593, 329, 379, 1551, 352, 614, 11, 290, 287, 922, 1630, 357, 289, 7012, 16, 66, 1342, 621, 807, 13, 20, 4064, 1267, 46506, 1635, 16034, 3084, 62, 7959, 62, 1828, 33411, 12593, 796 ]
Which Position has a Pick # of 18?
SELECT position FROM table_name_99 WHERE pick__number = 18
[ 13828, 23158, 468, 257, 12346, 1303, 286, 1248, 30, 46506, 2292, 16034, 3084, 62, 3672, 62, 2079, 33411, 2298, 834, 17618, 796, 1248, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 13828, 23158, 468, 257, 12346, 1303, 286, 1248, 30, 46506, 2292, 16034, 3084, 62, 3672, 62, 2079, 33411, 2298, 834, 17618, 796, 1248, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
What team was the contestant who finished in 10th place originally on?
SELECT "Original team" FROM table_23339 WHERE "Result" = '10th place'
[ 2061, 1074, 373, 262, 44047, 508, 5201, 287, 838, 400, 1295, 6198, 319, 30, 46506, 366, 20556, 1074, 1, 16034, 3084, 62, 1954, 29626, 33411, 366, 23004, 1, 796, 705, 940, 400, 1295, 6, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0 ]
[ 2061, 1074, 373, 262, 44047, 508, 5201, 287, 838, 400, 1295, 6198, 319, 30, 46506, 366, 20556, 1074, 1, 16034, 3084, 62, 1954, 29626, 33411, 366, 23004, 1, 796, 705, 940, 400, 1295, 6, 50256, 50256 ]
how many patients are diagnosed with acute nephritis nec and treated with iv drug route?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Acute nephritis NEC" AND prescriptions.route = "IV"
[ 4919, 867, 3871, 389, 14641, 351, 14352, 497, 746, 27398, 27576, 290, 5716, 351, 21628, 2563, 6339, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14641, 351, 14352, 497, 746, 27398, 27576, 290, 5716, 351, 21628, 2563, 6339, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479 ]
Down votes cast in past 30 days on answers less than 30 days old answering questions more than 60 da.
SELECT COUNT(*) FROM Votes JOIN Posts AS p1 ON Votes.PostId = p1.Id JOIN Posts AS p2 ON p1.ParentId = p2.Id WHERE Votes.VoteTypeId IN (3) AND Votes.CreationDate >= DATEADD(DAY, -30, GETDATE()) AND p1.PostTypeId = 2 AND p1.CreationDate >= DATEADD(DAY, -30, GETDATE()) AND NOT p1.ParentId IS NULL AND p2.PostTypeId = 1 AND...
[ 8048, 5690, 3350, 287, 1613, 1542, 1528, 319, 7429, 1342, 621, 1542, 1528, 1468, 18877, 2683, 517, 621, 3126, 12379, 13, 46506, 327, 28270, 7, 28104, 16034, 39584, 32357, 1268, 12043, 7054, 279, 16, 6177, 39584 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8048, 5690, 3350, 287, 1613, 1542, 1528, 319, 7429, 1342, 621, 1542, 1528, 1468, 18877, 2683, 517, 621, 3126, 12379, 13, 46506, 327, 28270, 7, 28104, 16034, 39584, 32357, 1268, 12043, 7054, 279, 16, 6177, 39584 ]
count the number of patients born before 2109 who have citrate dextrose 3% (acd-a) crrt prescription.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2109" AND prescriptions.drug = "Citrate Dextrose 3% (ACD-A) CRRT"
[ 9127, 262, 1271, 286, 3871, 4642, 878, 362, 14454, 508, 423, 15433, 4873, 390, 742, 13698, 513, 4, 357, 330, 67, 12, 64, 8, 1067, 17034, 15077, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4642, 878, 362, 14454, 508, 423, 15433, 4873, 390, 742, 13698, 513, 4, 357, 330, 67, 12, 64, 8, 1067, 17034, 15077, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177 ]
What is Name, when Games are less than 38, when Rank is less than 4, and when Points are 357?
SELECT "Name" FROM table_42021 WHERE "Games" < '38' AND "Rank" < '4' AND "Points" = '357'
[ 2061, 318, 6530, 11, 618, 5776, 389, 1342, 621, 4353, 11, 618, 10916, 318, 1342, 621, 604, 11, 290, 618, 11045, 389, 45210, 30, 46506, 366, 5376, 1, 16034, 3084, 62, 27211, 2481, 33411, 366, 24474 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6530, 11, 618, 5776, 389, 1342, 621, 4353, 11, 618, 10916, 318, 1342, 621, 604, 11, 290, 618, 11045, 389, 45210, 30, 46506, 366, 5376, 1, 16034, 3084, 62, 27211, 2481, 33411, 366, 24474 ]
Posts that are the target of the most duplicate closures.
SELECT PostId, RelatedPostId FROM PostLinks AS pl WHERE pl.RelatedPostId = 21895756 AND pl.LinkTypeId = 3
[ 21496, 326, 389, 262, 2496, 286, 262, 749, 23418, 32149, 13, 46506, 2947, 7390, 11, 19809, 6307, 7390, 16034, 2947, 31815, 7054, 458, 33411, 458, 13, 9819, 6307, 7390, 796, 29217, 3865, 38219, 5357, 458, 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 ]
[ 21496, 326, 389, 262, 2496, 286, 262, 749, 23418, 32149, 13, 46506, 2947, 7390, 11, 19809, 6307, 7390, 16034, 2947, 31815, 7054, 458, 33411, 458, 13, 9819, 6307, 7390, 796, 29217, 3865, 38219, 5357, 458, 13 ]
What medium was used for the sculpture of George Harold Baker?
SELECT "Medium" FROM table_2373 WHERE "Title/Subject" = 'George Harold Baker'
[ 2061, 7090, 373, 973, 329, 262, 26924, 286, 4502, 23987, 14372, 30, 46506, 366, 31205, 1, 16034, 3084, 62, 1954, 4790, 33411, 366, 19160, 14, 19776, 1, 796, 705, 20191, 23987, 14372, 6, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0 ]
[ 2061, 7090, 373, 973, 329, 262, 26924, 286, 4502, 23987, 14372, 30, 46506, 366, 31205, 1, 16034, 3084, 62, 1954, 4790, 33411, 366, 19160, 14, 19776, 1, 796, 705, 20191, 23987, 14372, 6, 50256, 50256, 50256 ]
What is the name of the first appearance when Chad Williams is a portrayal?
SELECT first_appearance FROM table_name_26 WHERE portrayed_by = "chad williams"
[ 2061, 318, 262, 1438, 286, 262, 717, 5585, 618, 19800, 6484, 318, 257, 33578, 30, 46506, 717, 62, 1324, 23435, 16034, 3084, 62, 3672, 62, 2075, 33411, 19152, 62, 1525, 796, 366, 354, 324, 481, 1789 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1438, 286, 262, 717, 5585, 618, 19800, 6484, 318, 257, 33578, 30, 46506, 717, 62, 1324, 23435, 16034, 3084, 62, 3672, 62, 2075, 33411, 19152, 62, 1525, 796, 366, 354, 324, 481, 1789 ]
How many channels were the games shown on in 2001-02?
SELECT COUNT("Channel") FROM table_72593 WHERE "Year" = '2001-02'
[ 2437, 867, 9619, 547, 262, 1830, 3402, 319, 287, 5878, 12, 2999, 30, 46506, 327, 28270, 7203, 29239, 4943, 16034, 3084, 62, 45151, 6052, 33411, 366, 17688, 1, 796, 705, 14585, 12, 2999, 6, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0 ]
[ 2437, 867, 9619, 547, 262, 1830, 3402, 319, 287, 5878, 12, 2999, 30, 46506, 327, 28270, 7203, 29239, 4943, 16034, 3084, 62, 45151, 6052, 33411, 366, 17688, 1, 796, 705, 14585, 12, 2999, 6, 50256, 50256 ]
show me one more time the FIRST class fares from BALTIMORE to DALLAS
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code A...
[ 12860, 502, 530, 517, 640, 262, 31328, 1398, 33164, 422, 347, 31429, 3955, 6965, 284, 360, 7036, 1921, 46506, 360, 8808, 1268, 4177, 14505, 13, 9496, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 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 ]
[ 12860, 502, 530, 517, 640, 262, 31328, 1398, 33164, 422, 347, 31429, 3955, 6965, 284, 360, 7036, 1921, 46506, 360, 8808, 1268, 4177, 14505, 13, 9496, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62 ]
On 27 January 1968 who was the Home Team when the Away team was Carlisle United?
SELECT "Home team" FROM table_7963 WHERE "Date" = '27 january 1968' AND "Away team" = 'carlisle united'
[ 2202, 2681, 3269, 15963, 508, 373, 262, 5995, 4816, 618, 262, 21986, 1074, 373, 8124, 20919, 1578, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 3720, 5066, 33411, 366, 10430, 1, 796, 705, 1983, 42897 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2681, 3269, 15963, 508, 373, 262, 5995, 4816, 618, 262, 21986, 1074, 373, 8124, 20919, 1578, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 3720, 5066, 33411, 366, 10430, 1, 796, 705, 1983, 42897 ]
did patient 025-44495 ever have any microbiology tests done in 12/2105?
SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-44495')) AND STRFTIME('%y-%m', microlab.culturetakentime) = '2105-12'
[ 20839, 5827, 657, 1495, 12, 2598, 33781, 1683, 423, 597, 24559, 1435, 5254, 1760, 287, 1105, 14, 17, 13348, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 4580, 23912, 33411, 4580, 23912, 13, 26029, 20850 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 20839, 5827, 657, 1495, 12, 2598, 33781, 1683, 423, 597, 24559, 1435, 5254, 1760, 287, 1105, 14, 17, 13348, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 4580, 23912, 33411, 4580, 23912, 13, 26029, 20850 ]
Plot a bar chart to show the frequency of end stations for the trips with the three oldest id.
SELECT end_station_name, COUNT(end_station_name) FROM trip GROUP BY end_station_name ORDER BY id LIMIT 3
[ 43328, 257, 2318, 8262, 284, 905, 262, 8373, 286, 886, 8985, 329, 262, 13229, 351, 262, 1115, 13325, 4686, 13, 46506, 886, 62, 17529, 62, 3672, 11, 327, 28270, 7, 437, 62, 17529, 62, 3672, 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 ]
[ 43328, 257, 2318, 8262, 284, 905, 262, 8373, 286, 886, 8985, 329, 262, 13229, 351, 262, 1115, 13325, 4686, 13, 46506, 886, 62, 17529, 62, 3672, 11, 327, 28270, 7, 437, 62, 17529, 62, 3672, 8 ]
Which Away team score has a Venue of princes park?
SELECT away_team AS score FROM table_name_7 WHERE venue = "princes park"
[ 13828, 21986, 1074, 4776, 468, 257, 9932, 518, 286, 42676, 3952, 30, 46506, 1497, 62, 15097, 7054, 4776, 16034, 3084, 62, 3672, 62, 22, 33411, 14359, 796, 366, 1050, 17386, 3952, 1, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0 ]
[ 13828, 21986, 1074, 4776, 468, 257, 9932, 518, 286, 42676, 3952, 30, 46506, 1497, 62, 15097, 7054, 4776, 16034, 3084, 62, 3672, 62, 22, 33411, 14359, 796, 366, 1050, 17386, 3952, 1, 50256, 50256, 50256, 50256 ]
What was the Obama% when McCain% was 61.2%?
SELECT "Obama%" FROM table_2307 WHERE "McCain%" = '61.2%'
[ 2061, 373, 262, 2486, 4, 618, 14264, 4, 373, 8454, 13, 17, 4, 30, 46506, 366, 15948, 39658, 16034, 3084, 62, 19214, 22, 33411, 366, 30464, 391, 39658, 796, 705, 5333, 13, 17, 4, 6, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 ]
[ 2061, 373, 262, 2486, 4, 618, 14264, 4, 373, 8454, 13, 17, 4, 30, 46506, 366, 15948, 39658, 16034, 3084, 62, 19214, 22, 33411, 366, 30464, 391, 39658, 796, 705, 5333, 13, 17, 4, 6, 50256 ]
tell me the first specimen test that patient 76327 received during this hospital visit?
SELECT microbiologyevents.spec_type_desc FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 76327 AND admissions.dischtime IS NULL) ORDER BY microbiologyevents.charttime LIMIT 1
[ 33331, 502, 262, 717, 31674, 1332, 326, 5827, 767, 5066, 1983, 2722, 1141, 428, 4436, 3187, 30, 46506, 24559, 1435, 31534, 13, 16684, 62, 4906, 62, 20147, 16034, 24559, 1435, 31534, 33411, 24559, 1435, 31534, 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 ]
[ 33331, 502, 262, 717, 31674, 1332, 326, 5827, 767, 5066, 1983, 2722, 1141, 428, 4436, 3187, 30, 46506, 24559, 1435, 31534, 13, 16684, 62, 4906, 62, 20147, 16034, 24559, 1435, 31534, 33411, 24559, 1435, 31534, 13 ]
what is the arrival time where station code is pnvl?
SELECT "Arrival" FROM table_19518 WHERE "Station Code" = 'PNVL'
[ 10919, 318, 262, 10325, 640, 810, 4429, 2438, 318, 279, 77, 19279, 30, 46506, 366, 3163, 43171, 1, 16034, 3084, 62, 22186, 1507, 33411, 366, 12367, 6127, 1, 796, 705, 13137, 47468, 6, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0 ]
[ 10919, 318, 262, 10325, 640, 810, 4429, 2438, 318, 279, 77, 19279, 30, 46506, 366, 3163, 43171, 1, 16034, 3084, 62, 22186, 1507, 33411, 366, 12367, 6127, 1, 796, 705, 13137, 47468, 6, 50256, 50256, 50256 ]
Show the distinct names of mountains climbed by climbers from country 'West Germany'.
SELECT DISTINCT T2.name FROM climber AS T1 JOIN mountain AS T2 ON T1.mountain_id = T2.mountain_id WHERE T1.country = "West Germany"
[ 15307, 262, 7310, 3891, 286, 12269, 19952, 416, 39311, 422, 1499, 705, 15045, 4486, 4458, 46506, 360, 8808, 1268, 4177, 309, 17, 13, 3672, 16034, 5424, 527, 7054, 309, 16, 32357, 1268, 8598, 7054, 309, 17 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 262, 7310, 3891, 286, 12269, 19952, 416, 39311, 422, 1499, 705, 15045, 4486, 4458, 46506, 360, 8808, 1268, 4177, 309, 17, 13, 3672, 16034, 5424, 527, 7054, 309, 16, 32357, 1268, 8598, 7054, 309, 17 ]
A bar chart for finding the number of the parties associated with the delegates from district 1. Who served as governors of the parties?
SELECT Governor, COUNT(Governor) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 GROUP BY Governor
[ 32, 2318, 8262, 329, 4917, 262, 1271, 286, 262, 4671, 3917, 351, 262, 15265, 422, 4783, 352, 13, 5338, 4983, 355, 26824, 286, 262, 4671, 30, 46506, 10807, 11, 327, 28270, 7, 29168, 273, 8, 16034 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2318, 8262, 329, 4917, 262, 1271, 286, 262, 4671, 3917, 351, 262, 15265, 422, 4783, 352, 13, 5338, 4983, 355, 26824, 286, 262, 4671, 30, 46506, 10807, 11, 327, 28270, 7, 29168, 273, 8, 16034 ]
What team finished in 1st when tau cer mica was in 3rd?
SELECT "1st Place" FROM table_20549 WHERE "3rd Place" = 'TAU Cerámica'
[ 2061, 1074, 5201, 287, 352, 301, 618, 256, 559, 26074, 285, 3970, 373, 287, 513, 4372, 30, 46506, 366, 16, 301, 8474, 1, 16034, 3084, 62, 21261, 2920, 33411, 366, 18, 4372, 8474, 1, 796, 705 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5201, 287, 352, 301, 618, 256, 559, 26074, 285, 3970, 373, 287, 513, 4372, 30, 46506, 366, 16, 301, 8474, 1, 16034, 3084, 62, 21261, 2920, 33411, 366, 18, 4372, 8474, 1, 796, 705 ]
What is the greatest number of points that has a lost bigger than 5, a difference of - 10 and a played bigger than 12?
SELECT MAX("Points") FROM table_43184 WHERE "Lost" > '5' AND "Difference" = '- 10' AND "Played" > '12'
[ 2061, 318, 262, 6000, 1271, 286, 2173, 326, 468, 257, 2626, 5749, 621, 642, 11, 257, 3580, 286, 532, 838, 290, 257, 2826, 5749, 621, 1105, 30, 46506, 25882, 7203, 40710, 4943, 16034, 3084, 62, 3559 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6000, 1271, 286, 2173, 326, 468, 257, 2626, 5749, 621, 642, 11, 257, 3580, 286, 532, 838, 290, 257, 2826, 5749, 621, 1105, 30, 46506, 25882, 7203, 40710, 4943, 16034, 3084, 62, 3559 ]
which township has the least land area ?
SELECT "township" FROM table_204_616 ORDER BY "land area\nkm2 (sq mi)" LIMIT 1
[ 4758, 42823, 468, 262, 1551, 1956, 1989, 5633, 46506, 366, 12735, 6720, 1, 16034, 3084, 62, 18638, 62, 44214, 38678, 11050, 366, 1044, 1989, 59, 77, 13276, 17, 357, 31166, 21504, 16725, 27564, 2043, 352, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 ]
[ 4758, 42823, 468, 262, 1551, 1956, 1989, 5633, 46506, 366, 12735, 6720, 1, 16034, 3084, 62, 18638, 62, 44214, 38678, 11050, 366, 1044, 1989, 59, 77, 13276, 17, 357, 31166, 21504, 16725, 27564, 2043, 352, 50256 ]
count the number of patients whose days of hospital stay is greater than 10 and lab test fluid is joint fluid?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "10" AND lab.fluid = "Joint Fluid"
[ 9127, 262, 1271, 286, 3871, 3025, 1528, 286, 4436, 2652, 318, 3744, 621, 838, 290, 2248, 1332, 11711, 318, 6466, 11711, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 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 ]
[ 9127, 262, 1271, 286, 3871, 3025, 1528, 286, 4436, 2652, 318, 3744, 621, 838, 290, 2248, 1332, 11711, 318, 6466, 11711, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8 ]
On what day did tommy ellis drive?
SELECT date FROM table_28178756_1 WHERE driver = "Tommy Ellis"
[ 2202, 644, 1110, 750, 16667, 1820, 30004, 271, 3708, 30, 46506, 3128, 16034, 3084, 62, 2078, 23188, 38219, 62, 16, 33411, 4639, 796, 366, 13787, 1820, 21299, 1, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 2202, 644, 1110, 750, 16667, 1820, 30004, 271, 3708, 30, 46506, 3128, 16034, 3084, 62, 2078, 23188, 38219, 62, 16, 33411, 4639, 796, 366, 13787, 1820, 21299, 1, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
When a private individual is the source and 018 is the story number what is the total footage remaining from missing episodes (mm:ss)?
SELECT total_footage_remaining_from_missing_episodes__mm AS :ss_ FROM table_1889619_5 WHERE story_no = "018" AND source = "Private individual"
[ 2215, 257, 2839, 1981, 318, 262, 2723, 290, 5534, 23, 318, 262, 1621, 1271, 644, 318, 262, 2472, 9640, 5637, 422, 4814, 8640, 357, 3020, 25, 824, 19427, 46506, 2472, 62, 5898, 496, 62, 2787, 1397 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 257, 2839, 1981, 318, 262, 2723, 290, 5534, 23, 318, 262, 1621, 1271, 644, 318, 262, 2472, 9640, 5637, 422, 4814, 8640, 357, 3020, 25, 824, 19427, 46506, 2472, 62, 5898, 496, 62, 2787, 1397 ]
What is the average GEO ID with a latitude less than 46.57958, a latitude of -102.109898 and more than 35.99 square miles of land?
SELECT AVG("GEO ID") FROM table_64882 WHERE "Latitude" < '46.57958' AND "Longitude" = '-102.109898' AND "Land ( sqmi )" > '35.99'
[ 2061, 318, 262, 2811, 402, 4720, 4522, 351, 257, 32477, 1342, 621, 6337, 13, 41734, 3365, 11, 257, 32477, 286, 532, 15377, 13, 940, 4089, 4089, 290, 517, 621, 3439, 13, 2079, 6616, 4608, 286, 1956 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2811, 402, 4720, 4522, 351, 257, 32477, 1342, 621, 6337, 13, 41734, 3365, 11, 257, 32477, 286, 532, 15377, 13, 940, 4089, 4089, 290, 517, 621, 3439, 13, 2079, 6616, 4608, 286, 1956 ]
Tournament of tokyo, japan, and a Score of 4 6, 6 4, 6 4 had which date attached?
SELECT date FROM table_name_91 WHERE tournament = "tokyo, japan" AND score = "4–6, 6–4, 6–4"
[ 51, 5138, 286, 284, 2584, 78, 11, 474, 2674, 11, 290, 257, 15178, 286, 604, 718, 11, 718, 604, 11, 718, 604, 550, 543, 3128, 7223, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 6420, 33411 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 51, 5138, 286, 284, 2584, 78, 11, 474, 2674, 11, 290, 257, 15178, 286, 604, 718, 11, 718, 604, 11, 718, 604, 550, 543, 3128, 7223, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 6420, 33411 ]
What was the informational CVBS Lines of the encoding with max character of 32 and has B (global) standard?
SELECT "Informational CVBS Lines" FROM table_22924 WHERE "Max. Characters (per page row)" = '32' AND "Standard" = 'B (global)'
[ 2061, 373, 262, 21524, 26196, 4462, 26299, 286, 262, 21004, 351, 3509, 2095, 286, 3933, 290, 468, 347, 357, 20541, 8, 3210, 30, 46506, 366, 818, 687, 864, 26196, 4462, 26299, 1, 16034, 3084, 62, 23539 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21524, 26196, 4462, 26299, 286, 262, 21004, 351, 3509, 2095, 286, 3933, 290, 468, 347, 357, 20541, 8, 3210, 30, 46506, 366, 818, 687, 864, 26196, 4462, 26299, 1, 16034, 3084, 62, 23539 ]
renal dysfunction ( creatinine clearance < 60 ml / minute )
SELECT * FROM table_train_220 WHERE renal_disease = 1 OR creatinine_clearance_cl < 60
[ 918, 282, 19327, 357, 1827, 259, 500, 19745, 1279, 3126, 25962, 1220, 5664, 1267, 46506, 1635, 16034, 3084, 62, 27432, 62, 17572, 33411, 44375, 62, 67, 786, 589, 796, 352, 6375, 1827, 259, 500, 62, 20063 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 918, 282, 19327, 357, 1827, 259, 500, 19745, 1279, 3126, 25962, 1220, 5664, 1267, 46506, 1635, 16034, 3084, 62, 27432, 62, 17572, 33411, 44375, 62, 67, 786, 589, 796, 352, 6375, 1827, 259, 500, 62, 20063 ]
In what year of school is the forward Iman McFarland?
SELECT "Year" FROM table_75916 WHERE "Position" = 'forward' AND "Name" = 'iman mcfarland'
[ 818, 644, 614, 286, 1524, 318, 262, 2651, 314, 805, 1982, 21428, 1044, 30, 46506, 366, 17688, 1, 16034, 3084, 62, 38314, 1433, 33411, 366, 26545, 1, 796, 705, 11813, 6, 5357, 366, 5376, 1, 796 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 644, 614, 286, 1524, 318, 262, 2651, 314, 805, 1982, 21428, 1044, 30, 46506, 366, 17688, 1, 16034, 3084, 62, 38314, 1433, 33411, 366, 26545, 1, 796, 705, 11813, 6, 5357, 366, 5376, 1, 796 ]
What is the lowest prominence for a peak with elevation of 3,615 meters?
SELECT MIN("Prominence (m)") FROM table_65076 WHERE "Elevation (m)" = '3,615'
[ 2061, 318, 262, 9016, 31198, 329, 257, 9103, 351, 22910, 286, 513, 11, 47007, 10700, 30, 46506, 20625, 7203, 24129, 18386, 357, 76, 8, 4943, 16034, 3084, 62, 17544, 4304, 33411, 366, 36, 2768, 341, 357 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 31198, 329, 257, 9103, 351, 22910, 286, 513, 11, 47007, 10700, 30, 46506, 20625, 7203, 24129, 18386, 357, 76, 8, 4943, 16034, 3084, 62, 17544, 4304, 33411, 366, 36, 2768, 341, 357 ]
Name the film title for german
SELECT "Film title used in nomination" FROM table_15505 WHERE "Language" = 'german'
[ 5376, 262, 2646, 3670, 329, 308, 2224, 46506, 366, 39750, 3670, 973, 287, 11872, 1, 16034, 3084, 62, 1314, 31654, 33411, 366, 32065, 1, 796, 705, 1362, 805, 6, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0 ]
[ 5376, 262, 2646, 3670, 329, 308, 2224, 46506, 366, 39750, 3670, 973, 287, 11872, 1, 16034, 3084, 62, 1314, 31654, 33411, 366, 32065, 1, 796, 705, 1362, 805, 6, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
What is the fleet number for the model of Gillig Phantom 3096TB?
SELECT fleet_number FROM table_name_95 WHERE model = "gillig phantom 3096tb"
[ 2061, 318, 262, 11026, 1271, 329, 262, 2746, 286, 12981, 328, 14407, 1542, 4846, 22737, 30, 46506, 11026, 62, 17618, 16034, 3084, 62, 3672, 62, 3865, 33411, 2746, 796, 366, 70, 359, 328, 36381, 1542, 4846 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 11026, 1271, 329, 262, 2746, 286, 12981, 328, 14407, 1542, 4846, 22737, 30, 46506, 11026, 62, 17618, 16034, 3084, 62, 3672, 62, 3865, 33411, 2746, 796, 366, 70, 359, 328, 36381, 1542, 4846 ]
What tournament has an opponent gan teik chai lin woon fui?
SELECT "Tournament" FROM table_68599 WHERE "Opponent" = 'gan teik chai lin woon fui'
[ 2061, 7756, 468, 281, 6125, 308, 272, 573, 1134, 442, 1872, 9493, 266, 2049, 277, 9019, 30, 46506, 366, 51, 5138, 1, 16034, 3084, 62, 35978, 2079, 33411, 366, 27524, 3471, 1, 796, 705, 1030, 573 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7756, 468, 281, 6125, 308, 272, 573, 1134, 442, 1872, 9493, 266, 2049, 277, 9019, 30, 46506, 366, 51, 5138, 1, 16034, 3084, 62, 35978, 2079, 33411, 366, 27524, 3471, 1, 796, 705, 1030, 573 ]
what is the number of patients whose insurance is medicare and primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement ?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Medicare" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT "
[ 10919, 318, 262, 1271, 286, 3871, 3025, 5096, 318, 6924, 533, 290, 4165, 4369, 318, 257, 419, 291, 1035, 1648, 19777, 59, 260, 12, 4598, 26370, 38385, 26, 257, 419, 291, 22580, 9014, 5633, 46506, 327 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5096, 318, 6924, 533, 290, 4165, 4369, 318, 257, 419, 291, 1035, 1648, 19777, 59, 260, 12, 4598, 26370, 38385, 26, 257, 419, 291, 22580, 9014, 5633, 46506, 327 ]
provide the number of patients whose diagnoses short title is acute nephritis nec and drug route is iv?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Acute nephritis NEC" AND prescriptions.route = "IV"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 40567, 1790, 3670, 318, 14352, 497, 746, 27398, 27576, 290, 2563, 6339, 318, 21628, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 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 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 40567, 1790, 3670, 318, 14352, 497, 746, 27398, 27576, 290, 2563, 6339, 318, 21628, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8 ]
when did patient 7524 get a norepinephrine bitartrate prescription for the last time until 06/2105?
SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7524) AND prescriptions.drug = 'norepinephrine bitartrate' AND STRFTIME('%y-%m', prescriptions.startdate) <= '2105-06' ORDER BY prescriptions.startdate DESC LIMIT 1
[ 12518, 750, 5827, 5441, 1731, 651, 257, 299, 382, 23908, 47723, 1643, 433, 4873, 15077, 329, 262, 938, 640, 1566, 9130, 14, 17, 13348, 30, 46506, 34092, 13, 9688, 4475, 16034, 34092, 33411, 34092, 13, 18108 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 12518, 750, 5827, 5441, 1731, 651, 257, 299, 382, 23908, 47723, 1643, 433, 4873, 15077, 329, 262, 938, 640, 1566, 9130, 14, 17, 13348, 30, 46506, 34092, 13, 9688, 4475, 16034, 34092, 33411, 34092, 13, 18108 ]
give me the number of patients with delta abnormal lab test status who have been diagnosed with benign neoplasm of skin of other and unspecified parts of face.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Benign neo skin face NEC" AND lab.flag = "delta"
[ 26535, 502, 262, 1271, 286, 3871, 351, 25979, 18801, 2248, 1332, 3722, 508, 423, 587, 14641, 351, 32293, 497, 20106, 8597, 286, 4168, 286, 584, 290, 29547, 3354, 286, 1986, 13, 46506, 327, 28270, 7, 35 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 26535, 502, 262, 1271, 286, 3871, 351, 25979, 18801, 2248, 1332, 3722, 508, 423, 587, 14641, 351, 32293, 497, 20106, 8597, 286, 4168, 286, 584, 290, 29547, 3354, 286, 1986, 13, 46506, 327, 28270, 7, 35 ]
What number-one single is performed by artist Pep's?
SELECT "Number-one single(s)" FROM table_29523 WHERE "Artist" = 'Pep''s'
[ 2061, 1271, 12, 505, 2060, 318, 6157, 416, 6802, 24226, 338, 30, 46506, 366, 15057, 12, 505, 2060, 7, 82, 16725, 16034, 3084, 62, 25710, 1954, 33411, 366, 43020, 1, 796, 705, 47, 538, 7061, 82 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 12, 505, 2060, 318, 6157, 416, 6802, 24226, 338, 30, 46506, 366, 15057, 12, 505, 2060, 7, 82, 16725, 16034, 3084, 62, 25710, 1954, 33411, 366, 43020, 1, 796, 705, 47, 538, 7061, 82 ]
What game number was played on March 4?
SELECT AVG(game__number) FROM table_name_67 WHERE date = "march 4"
[ 2061, 983, 1271, 373, 2826, 319, 2805, 604, 30, 46506, 35224, 7, 6057, 834, 17618, 8, 16034, 3084, 62, 3672, 62, 3134, 33411, 3128, 796, 366, 76, 998, 604, 1, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0 ]
[ 2061, 983, 1271, 373, 2826, 319, 2805, 604, 30, 46506, 35224, 7, 6057, 834, 17618, 8, 16034, 3084, 62, 3672, 62, 3134, 33411, 3128, 796, 366, 76, 998, 604, 1, 50256, 50256, 50256, 50256, 50256, 50256 ]
What is the fate for the Bremen ship?
SELECT "Fate" FROM table_59611 WHERE "Ship" = 'bremen'
[ 2061, 318, 262, 10030, 329, 262, 347, 2787, 268, 4074, 30, 46506, 366, 37, 378, 1, 16034, 3084, 62, 45734, 1157, 33411, 366, 25586, 1, 796, 705, 65, 2787, 268, 6, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0 ]
[ 2061, 318, 262, 10030, 329, 262, 347, 2787, 268, 4074, 30, 46506, 366, 37, 378, 1, 16034, 3084, 62, 45734, 1157, 33411, 366, 25586, 1, 796, 705, 65, 2787, 268, 6, 50256, 50256, 50256, 50256, 50256 ]
What number episode in the series was watched by 10.96 million U.S. viewers?
SELECT MIN(no_in_series) FROM table_28027307_1 WHERE us_viewers__millions_ = "10.96"
[ 2061, 1271, 4471, 287, 262, 2168, 373, 7342, 416, 838, 13, 4846, 1510, 471, 13, 50, 13, 10209, 30, 46506, 20625, 7, 3919, 62, 259, 62, 25076, 8, 16034, 3084, 62, 21033, 1983, 22996, 62, 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 ]
[ 2061, 1271, 4471, 287, 262, 2168, 373, 7342, 416, 838, 13, 4846, 1510, 471, 13, 50, 13, 10209, 30, 46506, 20625, 7, 3919, 62, 259, 62, 25076, 8, 16034, 3084, 62, 21033, 1983, 22996, 62, 16 ]
Which round 5 Grand Prix had Daijiro Hiura at pole position?
SELECT "Grand Prix" FROM table_72999 WHERE "Pole Position" = 'Daijiro Hiura' AND "Round" = '5'
[ 13828, 2835, 642, 5675, 23832, 550, 39604, 73, 7058, 15902, 5330, 379, 16825, 2292, 30, 46506, 366, 23581, 23832, 1, 16034, 3084, 62, 48555, 2079, 33411, 366, 47, 2305, 23158, 1, 796, 705, 35, 1872, 73 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2835, 642, 5675, 23832, 550, 39604, 73, 7058, 15902, 5330, 379, 16825, 2292, 30, 46506, 366, 23581, 23832, 1, 16034, 3084, 62, 48555, 2079, 33411, 366, 47, 2305, 23158, 1, 796, 705, 35, 1872, 73 ]
What is the average of the Series #s that were directed by Matthew Penn?
SELECT AVG("Series #") FROM table_56284 WHERE "Directed by" = 'matthew penn'
[ 2061, 318, 262, 2811, 286, 262, 7171, 1303, 82, 326, 547, 7924, 416, 9308, 6595, 30, 46506, 35224, 7203, 27996, 1303, 4943, 16034, 3084, 62, 3980, 30336, 33411, 366, 13470, 276, 416, 1, 796, 705, 76 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2811, 286, 262, 7171, 1303, 82, 326, 547, 7924, 416, 9308, 6595, 30, 46506, 35224, 7203, 27996, 1303, 4943, 16034, 3084, 62, 3980, 30336, 33411, 366, 13470, 276, 416, 1, 796, 705, 76 ]
Name the number of assists for 321 minutes
SELECT COUNT(assists) FROM table_23184448_4 WHERE minutes = 321
[ 5376, 262, 1271, 286, 13648, 329, 39595, 2431, 46506, 327, 28270, 7, 562, 1023, 8, 16034, 3084, 62, 1954, 1507, 2598, 2780, 62, 19, 33411, 2431, 796, 39595, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 5376, 262, 1271, 286, 13648, 329, 39595, 2431, 46506, 327, 28270, 7, 562, 1023, 8, 16034, 3084, 62, 1954, 1507, 2598, 2780, 62, 19, 33411, 2431, 796, 39595, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
What is Ground, when Away Team is Sydney?
SELECT "Ground" FROM table_43894 WHERE "Away team" = 'sydney'
[ 2061, 318, 13706, 11, 618, 21986, 4816, 318, 11852, 30, 46506, 366, 35539, 1, 16034, 3084, 62, 43704, 5824, 33411, 366, 32, 1014, 1074, 1, 796, 705, 1837, 67, 1681, 6, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0 ]
[ 2061, 318, 13706, 11, 618, 21986, 4816, 318, 11852, 30, 46506, 366, 35539, 1, 16034, 3084, 62, 43704, 5824, 33411, 366, 32, 1014, 1074, 1, 796, 705, 1837, 67, 1681, 6, 50256, 50256, 50256, 50256, 50256 ]
show me the number of patients with procedure icd9 code 14 who were discharged home.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME" AND procedures.icd9_code = "14"
[ 12860, 502, 262, 1271, 286, 3871, 351, 8771, 14158, 67, 24, 2438, 1478, 508, 547, 26476, 1363, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 12860, 502, 262, 1271, 286, 3871, 351, 8771, 14158, 67, 24, 2438, 1478, 508, 547, 26476, 1363, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479 ]
what is the name of the first club listed on this chart ?
SELECT "club" FROM table_204_26 WHERE id = 1
[ 10919, 318, 262, 1438, 286, 262, 717, 3430, 5610, 319, 428, 8262, 5633, 46506, 366, 18664, 1, 16034, 3084, 62, 18638, 62, 2075, 33411, 4686, 796, 352, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 10919, 318, 262, 1438, 286, 262, 717, 3430, 5610, 319, 428, 8262, 5633, 46506, 366, 18664, 1, 16034, 3084, 62, 18638, 62, 2075, 33411, 4686, 796, 352, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256, 50256 ]
For those records from the products and each product's manufacturer, a bar chart shows the distribution of headquarter and the sum of code , and group by attribute headquarter, sort total number in ascending order.
SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T1.Code
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 1182, 24385, 290, 262, 2160, 286, 2438, 837, 290, 1448, 416, 11688, 1182, 24385, 11, 3297, 2472 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 1182, 24385, 290, 262, 2160, 286, 2438, 837, 290, 1448, 416, 11688, 1182, 24385, 11, 3297, 2472 ]
How many total games were played against @ St. Louis Hawks this season?
SELECT SUM(game) FROM table_name_42 WHERE opponent = "@ st. louis hawks"
[ 2437, 867, 2472, 1830, 547, 2826, 1028, 2488, 520, 13, 5593, 23445, 428, 1622, 30, 46506, 35683, 7, 6057, 8, 16034, 3084, 62, 3672, 62, 3682, 33411, 6125, 796, 44212, 336, 13, 21081, 271, 23185, 591 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2472, 1830, 547, 2826, 1028, 2488, 520, 13, 5593, 23445, 428, 1622, 30, 46506, 35683, 7, 6057, 8, 16034, 3084, 62, 3672, 62, 3682, 33411, 6125, 796, 44212, 336, 13, 21081, 271, 23185, 591 ]
What's the latest year with a hometown of san carlos, pangasinan?
SELECT MAX(year) FROM table_name_50 WHERE hometown = "san carlos, pangasinan"
[ 2061, 338, 262, 3452, 614, 351, 257, 20994, 286, 5336, 1097, 33280, 11, 279, 648, 47337, 272, 30, 46506, 25882, 7, 1941, 8, 16034, 3084, 62, 3672, 62, 1120, 33411, 20994, 796, 366, 12807, 1097, 33280 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3452, 614, 351, 257, 20994, 286, 5336, 1097, 33280, 11, 279, 648, 47337, 272, 30, 46506, 25882, 7, 1941, 8, 16034, 3084, 62, 3672, 62, 1120, 33411, 20994, 796, 366, 12807, 1097, 33280 ]