Datasets:
Mohanrajv27
/
Text-to-sql_label

Dataset card Data Studio Files Community
instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
sequence
attention_mask
sequence
labels
sequence
how many patients have stayed in the hospital for more than 3 days?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.days_stay > "3"
[ 4919, 867, 3871, 423, 9658, 287, 262, 4436, 329, 517, 621, 513, 1528, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 12545, 62, 31712, 1875, 366, 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 ]
[ 4919, 867, 3871, 423, 9658, 287, 262, 4436, 329, 517, 621, 513, 1528, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 12545, 62, 31712, 1875, 366, 18, 1 ]
What are the names of members and their corresponding parties?
SELECT T1.member_name, T2.party_name FROM member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id
[ 2061, 389, 262, 3891, 286, 1866, 290, 511, 11188, 4671, 30, 46506, 309, 16, 13, 19522, 62, 3672, 11, 309, 17, 13, 10608, 62, 3672, 16034, 2888, 7054, 309, 16, 32357, 1268, 2151, 7054, 309, 17, 6177, 309, 16, 13, 10608, 62, 312, 796, 309, 17, 13, 10608, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 3891, 286, 1866, 290, 511, 11188, 4671, 30, 46506, 309, 16, 13, 19522, 62, 3672, 11, 309, 17, 13, 10608, 62, 3672, 16034, 2888, 7054, 309, 16, 32357, 1268, 2151, 7054, 309, 17, 6177, 309, 16, 13, 10608, 62, 312, 796, 309, 17, 13, 10608, 62, 312 ]
What is the maximum price of wines in each year?, sort by the X-axis from low to high.
SELECT Year, MAX(Price) FROM wine GROUP BY Year ORDER BY Year
[ 2061, 318, 262, 5415, 2756, 286, 30680, 287, 1123, 614, 21747, 3297, 416, 262, 1395, 12, 22704, 422, 1877, 284, 1029, 13, 46506, 6280, 11, 25882, 7, 18124, 8, 16034, 8237, 44441, 11050, 6280, 38678, 11050, 6280 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5415, 2756, 286, 30680, 287, 1123, 614, 21747, 3297, 416, 262, 1395, 12, 22704, 422, 1877, 284, 1029, 13, 46506, 6280, 11, 25882, 7, 18124, 8, 16034, 8237, 44441, 11050, 6280, 38678, 11050, 6280 ]
What is the name of the non-mammal from brazil of the unit of caturrita formation?
SELECT name FROM table_name_19 WHERE location = "brazil" AND unit = "caturrita formation"
[ 2061, 318, 262, 1438, 286, 262, 1729, 12, 76, 6475, 282, 422, 275, 7098, 286, 262, 4326, 286, 269, 2541, 799, 64, 9978, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 1129, 33411, 4067, 796, 366, 65, 7098, 1, 5357, 4326, 796, 366, 66, 2541, 799, 64, 9978, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1729, 12, 76, 6475, 282, 422, 275, 7098, 286, 262, 4326, 286, 269, 2541, 799, 64, 9978, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 1129, 33411, 4067, 796, 366, 65, 7098, 1, 5357, 4326, 796, 366, 66, 2541, 799, 64, 9978, 1 ]
when mixed doubles is zheng bo ma jin and womens singles is wang yihan, what was the tour?
SELECT tour FROM table_21001903_2 WHERE mixed_doubles = "Zheng Bo Ma Jin" AND womens_singles = "Wang Yihan"
[ 12518, 7668, 21938, 318, 1976, 31753, 1489, 17266, 474, 259, 290, 1116, 641, 25287, 318, 266, 648, 331, 4449, 272, 11, 644, 373, 262, 4205, 30, 46506, 4205, 16034, 3084, 62, 2481, 405, 1129, 3070, 62, 17, 33411, 7668, 62, 67, 280, 7689, 796, 366, 57, 31753, 3248, 6669, 17297, 1, 5357, 1116, 641, 62, 12215, 829, 796, 366, 54, 648, 575, 4449, 272, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7668, 21938, 318, 1976, 31753, 1489, 17266, 474, 259, 290, 1116, 641, 25287, 318, 266, 648, 331, 4449, 272, 11, 644, 373, 262, 4205, 30, 46506, 4205, 16034, 3084, 62, 2481, 405, 1129, 3070, 62, 17, 33411, 7668, 62, 67, 280, 7689, 796, 366, 57, 31753, 3248, 6669, 17297, 1, 5357, 1116, 641, 62, 12215, 829, 796, 366, 54, 648, 575, 4449, 272, 1 ]
How much money did gaming alerts ask for?
SELECT COUNT("Money requested (\u00a3)") FROM table_68431 WHERE "Company or product name" = 'gaming alerts'
[ 2437, 881, 1637, 750, 7776, 21675, 1265, 329, 30, 46506, 327, 28270, 7203, 26788, 9167, 357, 59, 84, 405, 64, 18, 8, 4943, 16034, 3084, 62, 41580, 3132, 33411, 366, 39154, 393, 1720, 1438, 1, 796, 705, 48616, 21675, 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 ]
[ 2437, 881, 1637, 750, 7776, 21675, 1265, 329, 30, 46506, 327, 28270, 7203, 26788, 9167, 357, 59, 84, 405, 64, 18, 8, 4943, 16034, 3084, 62, 41580, 3132, 33411, 366, 39154, 393, 1720, 1438, 1, 796, 705, 48616, 21675, 6 ]
What is the surface of the match when the opponent was iryna bremond valeria savinykh?
SELECT "Surface" FROM table_55199 WHERE "Opponents" = 'iryna bremond valeria savinykh'
[ 2061, 318, 262, 4417, 286, 262, 2872, 618, 262, 6125, 373, 4173, 46434, 1449, 6327, 1188, 5142, 6799, 3541, 14636, 30, 46506, 366, 14214, 2550, 1, 16034, 3084, 62, 2816, 19104, 33411, 366, 27524, 3906, 1, 796, 705, 343, 46434, 1449, 6327, 1188, 5142, 6799, 3541, 14636, 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 ]
[ 2061, 318, 262, 4417, 286, 262, 2872, 618, 262, 6125, 373, 4173, 46434, 1449, 6327, 1188, 5142, 6799, 3541, 14636, 30, 46506, 366, 14214, 2550, 1, 16034, 3084, 62, 2816, 19104, 33411, 366, 27524, 3906, 1, 796, 705, 343, 46434, 1449, 6327, 1188, 5142, 6799, 3541, 14636, 6 ]
What is the number of patients who had emergency hospital admission along with a uric acid lab test?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.label = "Uric Acid"
[ 2061, 318, 262, 1271, 286, 3871, 508, 550, 6334, 4436, 13938, 1863, 351, 257, 2956, 291, 7408, 2248, 1332, 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, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 2248, 13, 18242, 796, 366, 52, 1173, 27066, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 3871, 508, 550, 6334, 4436, 13938, 1863, 351, 257, 2956, 291, 7408, 2248, 1332, 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, 324, 3411, 62, 4906, 796, 366, 3620, 49837, 45155, 1, 5357, 2248, 13, 18242, 796, 366, 52, 1173, 27066, 1 ]
What's the type of the school in New London, Connecticut?
SELECT type FROM table_1974782_1 WHERE location = "New London, Connecticut"
[ 2061, 338, 262, 2099, 286, 262, 1524, 287, 968, 3576, 11, 14493, 30, 46506, 2099, 16034, 3084, 62, 24991, 2857, 6469, 62, 16, 33411, 4067, 796, 366, 3791, 3576, 11, 14493, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 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, 2099, 286, 262, 1524, 287, 968, 3576, 11, 14493, 30, 46506, 2099, 16034, 3084, 62, 24991, 2857, 6469, 62, 16, 33411, 4067, 796, 366, 3791, 3576, 11, 14493, 1 ]
What is the mountain classification of Mario Cipollini, who has a general classification of Pavel tonkov?
SELECT mountains_classification FROM table_name_60 WHERE winner = "mario cipollini" AND general_classification = "pavel tonkov"
[ 2061, 318, 262, 8598, 17923, 286, 10682, 327, 541, 692, 5362, 11, 508, 468, 257, 2276, 17923, 286, 49612, 5680, 21862, 30, 46506, 12269, 62, 4871, 2649, 16034, 3084, 62, 3672, 62, 1899, 33411, 8464, 796, 366, 3876, 952, 269, 541, 692, 5362, 1, 5357, 2276, 62, 4871, 2649, 796, 366, 8957, 626, 5680, 21862, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8598, 17923, 286, 10682, 327, 541, 692, 5362, 11, 508, 468, 257, 2276, 17923, 286, 49612, 5680, 21862, 30, 46506, 12269, 62, 4871, 2649, 16034, 3084, 62, 3672, 62, 1899, 33411, 8464, 796, 366, 3876, 952, 269, 541, 692, 5362, 1, 5357, 2276, 62, 4871, 2649, 796, 366, 8957, 626, 5680, 21862, 1 ]
What date was the tie number of 32?
SELECT "Date" FROM table_65181 WHERE "Tie no" = '32'
[ 2061, 3128, 373, 262, 9839, 1271, 286, 3933, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 2996, 27057, 33411, 366, 51, 494, 645, 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 ]
[ 2061, 3128, 373, 262, 9839, 1271, 286, 3933, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 2996, 27057, 33411, 366, 51, 494, 645, 1, 796, 705, 2624, 6 ]
indicate the daily average arterial bp [diastolic] of patient 7476 since 50 months ago.
SELECT AVG(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7476)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime) >= DATETIME(CURRENT_TIME(), '-50 month') GROUP BY STRFTIME('%y-%m-%d', chartevents.charttime)
[ 521, 5344, 262, 4445, 2811, 30675, 498, 275, 79, 685, 10989, 459, 4160, 60, 286, 5827, 767, 35435, 1201, 2026, 1933, 2084, 13, 46506, 35224, 7, 40926, 31534, 13, 2100, 84, 44709, 8, 16034, 8262, 31534, 33411, 8262, 31534, 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, 767, 35435, 4008, 5357, 8262, 31534, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186, 312, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 18242, 796, 705, 2571, 498, 275, 79, 685, 10989, 459, 4160, 49946, 5357, 288, 62, 23814, 13, 8726, 301, 78, 796, 705, 40926, 31534, 11537, 5357, 360, 1404, 2767, 12789, 7, 40926, 31534, 13, 40926, 2435, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 1120, 1227, 11537, 44441, 11050, 19269, 9792, 12789, 10786, 4, 88, 12, 4, 76, 12, 4, 67, 3256, 8262, 31534, 13, 40926, 2435, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 521, 5344, 262, 4445, 2811, 30675, 498, 275, 79, 685, 10989, 459, 4160, 60, 286, 5827, 767, 35435, 1201, 2026, 1933, 2084, 13, 46506, 35224, 7, 40926, 31534, 13, 2100, 84, 44709, 8, 16034, 8262, 31534, 33411, 8262, 31534, 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, 767, 35435, 4008, 5357, 8262, 31534, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186, 312, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 18242, 796, 705, 2571, 498, 275, 79, 685, 10989, 459, 4160, 49946, 5357, 288, 62, 23814, 13, 8726, 301, 78, 796, 705, 40926, 31534, 11537, 5357, 360, 1404, 2767, 12789, 7, 40926, 31534, 13, 40926, 2435, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 1120, 1227, 11537, 44441, 11050, 19269, 9792, 12789, 10786, 4, 88, 12, 4, 76, 12, 4, 67, 3256, 8262, 31534, 13, 40926, 2435, 8 ]
what is average age of patients whose insurance is private and days of hospital stay is 7?
SELECT AVG(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.days_stay = "7"
[ 10919, 318, 2811, 2479, 286, 3871, 3025, 5096, 318, 2839, 290, 1528, 286, 4436, 2652, 318, 767, 30, 46506, 35224, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 1040, 3874, 796, 366, 29067, 1, 5357, 16728, 13, 12545, 62, 31712, 796, 366, 22, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5096, 318, 2839, 290, 1528, 286, 4436, 2652, 318, 767, 30, 46506, 35224, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 1040, 3874, 796, 366, 29067, 1, 5357, 16728, 13, 12545, 62, 31712, 796, 366, 22, 1 ]
What province was New Plymouth formed from?
SELECT formed_from FROM table_275023_1 WHERE province = "New Plymouth"
[ 2061, 8473, 373, 968, 42125, 7042, 422, 30, 46506, 7042, 62, 6738, 16034, 3084, 62, 1983, 1120, 1954, 62, 16, 33411, 8473, 796, 366, 3791, 42125, 1 ]
[ 1, 1, 1, 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, 8473, 373, 968, 42125, 7042, 422, 30, 46506, 7042, 62, 6738, 16034, 3084, 62, 1983, 1120, 1954, 62, 16, 33411, 8473, 796, 366, 3791, 42125, 1 ]
which township has the least population density ?
SELECT "township" FROM table_203_459 ORDER BY "population\ndensity\n/km2 (/sq mi)" LIMIT 1
[ 4758, 42823, 468, 262, 1551, 3265, 12109, 5633, 46506, 366, 12735, 6720, 1, 16034, 3084, 62, 22416, 62, 33459, 38678, 11050, 366, 39748, 59, 358, 6377, 59, 77, 14, 13276, 17, 50247, 31166, 21504, 16725, 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 ]
[ 4758, 42823, 468, 262, 1551, 3265, 12109, 5633, 46506, 366, 12735, 6720, 1, 16034, 3084, 62, 22416, 62, 33459, 38678, 11050, 366, 39748, 59, 358, 6377, 59, 77, 14, 13276, 17, 50247, 31166, 21504, 16725, 27564, 2043, 352 ]
What was the original title of the film directed by Lene Gr nlykke and Sven Gr nlykke?
SELECT "Original title" FROM table_15043 WHERE "Director" = 'lene grønlykke and sven grønlykke'
[ 2061, 373, 262, 2656, 3670, 286, 262, 2646, 7924, 416, 406, 1734, 1902, 299, 306, 74, 365, 290, 44611, 1902, 299, 306, 74, 365, 30, 46506, 366, 20556, 3670, 1, 16034, 3084, 62, 8628, 3559, 33411, 366, 28702, 1, 796, 705, 29466, 1036, 24172, 77, 306, 74, 365, 290, 264, 574, 1036, 24172, 77, 306, 74, 365, 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 ]
[ 2061, 373, 262, 2656, 3670, 286, 262, 2646, 7924, 416, 406, 1734, 1902, 299, 306, 74, 365, 290, 44611, 1902, 299, 306, 74, 365, 30, 46506, 366, 20556, 3670, 1, 16034, 3084, 62, 8628, 3559, 33411, 366, 28702, 1, 796, 705, 29466, 1036, 24172, 77, 306, 74, 365, 290, 264, 574, 1036, 24172, 77, 306, 74, 365, 6 ]
My ranking in the philippines.
SELECT t.RANK, t."user", t.Location, t.Reputation FROM (SELECT Id, ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "rank", DisplayName AS "user", 'location', 'reputation' FROM Users WHERE LOWER(Location) LIKE '%phil%') AS t WHERE t.Id = 2155668
[ 3666, 12759, 287, 262, 872, 8908, 1127, 13, 46506, 256, 13, 49, 15154, 11, 256, 526, 7220, 1600, 256, 13, 14749, 11, 256, 13, 6207, 7094, 16034, 357, 46506, 5121, 11, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 366, 43027, 1600, 16531, 5376, 7054, 366, 7220, 1600, 705, 24886, 3256, 705, 260, 1996, 341, 6, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 28864, 4, 11537, 7054, 256, 33411, 256, 13, 7390, 796, 362, 18742, 35809 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 3666, 12759, 287, 262, 872, 8908, 1127, 13, 46506, 256, 13, 49, 15154, 11, 256, 526, 7220, 1600, 256, 13, 14749, 11, 256, 13, 6207, 7094, 16034, 357, 46506, 5121, 11, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 366, 43027, 1600, 16531, 5376, 7054, 366, 7220, 1600, 705, 24886, 3256, 705, 260, 1996, 341, 6, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 28864, 4, 11537, 7054, 256, 33411, 256, 13, 7390, 796, 362, 18742, 35809 ]
What is the total of Last title that has Wins smaller than 71 and a First title larger than 1968 and a Country of fiji?
SELECT COUNT(last_title) FROM table_name_79 WHERE wins < 71 AND first_title > 1968 AND country = "fiji"
[ 2061, 318, 262, 2472, 286, 4586, 3670, 326, 468, 24423, 4833, 621, 9166, 290, 257, 3274, 3670, 4025, 621, 15963, 290, 257, 12946, 286, 277, 20770, 30, 46506, 327, 28270, 7, 12957, 62, 7839, 8, 16034, 3084, 62, 3672, 62, 3720, 33411, 7864, 1279, 9166, 5357, 717, 62, 7839, 1875, 15963, 5357, 1499, 796, 366, 69, 20770, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4586, 3670, 326, 468, 24423, 4833, 621, 9166, 290, 257, 3274, 3670, 4025, 621, 15963, 290, 257, 12946, 286, 277, 20770, 30, 46506, 327, 28270, 7, 12957, 62, 7839, 8, 16034, 3084, 62, 3672, 62, 3720, 33411, 7864, 1279, 9166, 5357, 717, 62, 7839, 1875, 15963, 5357, 1499, 796, 366, 69, 20770, 1 ]
which was a better season , 2006/07 or 2007/08 ?
SELECT "season" FROM table_204_717 WHERE "season" IN ('2006/07', '2007/08') ORDER BY "place" LIMIT 1
[ 4758, 373, 257, 1365, 1622, 837, 4793, 14, 2998, 393, 4343, 14, 2919, 5633, 46506, 366, 6230, 1, 16034, 3084, 62, 18638, 62, 22, 1558, 33411, 366, 6230, 1, 3268, 19203, 13330, 14, 2998, 3256, 705, 12726, 14, 2919, 11537, 38678, 11050, 366, 5372, 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 ]
[ 4758, 373, 257, 1365, 1622, 837, 4793, 14, 2998, 393, 4343, 14, 2919, 5633, 46506, 366, 6230, 1, 16034, 3084, 62, 18638, 62, 22, 1558, 33411, 366, 6230, 1, 3268, 19203, 13330, 14, 2998, 3256, 705, 12726, 14, 2919, 11537, 38678, 11050, 366, 5372, 1, 27564, 2043, 352 ]
Name the least place for draw more than 3 and points of 8
SELECT MIN("Place") FROM table_34577 WHERE "Draw" > '3' AND "Points" = '8'
[ 5376, 262, 1551, 1295, 329, 3197, 517, 621, 513, 290, 2173, 286, 807, 46506, 20625, 7203, 27271, 4943, 16034, 3084, 62, 27712, 3324, 33411, 366, 25302, 1, 1875, 705, 18, 6, 5357, 366, 40710, 1, 796, 705, 23, 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 ]
[ 5376, 262, 1551, 1295, 329, 3197, 517, 621, 513, 290, 2173, 286, 807, 46506, 20625, 7203, 27271, 4943, 16034, 3084, 62, 27712, 3324, 33411, 366, 25302, 1, 1875, 705, 18, 6, 5357, 366, 40710, 1, 796, 705, 23, 6 ]
Which category was the berlin file up to win in 2013?
SELECT "Category" FROM table_55137 WHERE "Year" = '2013' AND "Nominated work" = 'the berlin file'
[ 13828, 6536, 373, 262, 18157, 2815, 2393, 510, 284, 1592, 287, 2211, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 2816, 19708, 33411, 366, 17688, 1, 796, 705, 6390, 6, 5357, 366, 45, 50251, 670, 1, 796, 705, 1169, 18157, 2815, 2393, 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 ]
[ 13828, 6536, 373, 262, 18157, 2815, 2393, 510, 284, 1592, 287, 2211, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 2816, 19708, 33411, 366, 17688, 1, 796, 705, 6390, 6, 5357, 366, 45, 50251, 670, 1, 796, 705, 1169, 18157, 2815, 2393, 6 ]
Show names of musicals and the number of actors who have appeared in the musicals in a bar chart, and order in asc by the names.
SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID ORDER BY T2.Name
[ 15307, 3891, 286, 10530, 82, 290, 262, 1271, 286, 10544, 508, 423, 4120, 287, 262, 10530, 82, 287, 257, 2318, 8262, 11, 290, 1502, 287, 10570, 416, 262, 3891, 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, 38678, 11050, 309, 17, 13, 5376 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3891, 286, 10530, 82, 290, 262, 1271, 286, 10544, 508, 423, 4120, 287, 262, 10530, 82, 287, 257, 2318, 8262, 11, 290, 1502, 287, 10570, 416, 262, 3891, 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, 38678, 11050, 309, 17, 13, 5376 ]
What is the most elevated Position that has a Points of 257, and a Bike No littler than 19?
SELECT MAX(position) FROM table_name_96 WHERE points = 257 AND bike_no < 19
[ 2061, 318, 262, 749, 15321, 23158, 326, 468, 257, 11045, 286, 36100, 11, 290, 257, 26397, 1400, 300, 715, 1754, 621, 678, 30, 46506, 25882, 7, 9150, 8, 16034, 3084, 62, 3672, 62, 4846, 33411, 2173, 796, 36100, 5357, 7161, 62, 3919, 1279, 678 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15321, 23158, 326, 468, 257, 11045, 286, 36100, 11, 290, 257, 26397, 1400, 300, 715, 1754, 621, 678, 30, 46506, 25882, 7, 9150, 8, 16034, 3084, 62, 3672, 62, 4846, 33411, 2173, 796, 36100, 5357, 7161, 62, 3919, 1279, 678 ]
What are the Modular Forms courses with 13 credits ?
SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Modular Forms%' OR name LIKE '%Modular Forms%') AND credits = 13
[ 2061, 389, 262, 3401, 934, 39196, 10902, 351, 1511, 10824, 5633, 46506, 360, 8808, 1268, 4177, 5011, 11, 1438, 11, 1271, 16034, 1781, 33411, 357, 11213, 34178, 705, 4, 5841, 934, 39196, 4, 6, 6375, 1438, 34178, 705, 4, 5841, 934, 39196, 4, 11537, 5357, 10824, 796, 1511 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3401, 934, 39196, 10902, 351, 1511, 10824, 5633, 46506, 360, 8808, 1268, 4177, 5011, 11, 1438, 11, 1271, 16034, 1781, 33411, 357, 11213, 34178, 705, 4, 5841, 934, 39196, 4, 6, 6375, 1438, 34178, 705, 4, 5841, 934, 39196, 4, 11537, 5357, 10824, 796, 1511 ]
How many wins occurred for 6th rank?
SELECT COUNT(wins) FROM table_name_31 WHERE rank = "6th"
[ 2437, 867, 7864, 5091, 329, 718, 400, 4279, 30, 46506, 327, 28270, 7, 86, 1040, 8, 16034, 3084, 62, 3672, 62, 3132, 33411, 4279, 796, 366, 21, 400, 1 ]
[ 1, 1, 1, 1, 1, 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, 7864, 5091, 329, 718, 400, 4279, 30, 46506, 327, 28270, 7, 86, 1040, 8, 16034, 3084, 62, 3672, 62, 3132, 33411, 4279, 796, 366, 21, 400, 1 ]
Name the us exclusive for miley cyrus
SELECT us_exclusive FROM table_24600706_1 WHERE artist_band = "Miley Cyrus"
[ 5376, 262, 514, 8568, 329, 285, 9618, 269, 21180, 46506, 514, 62, 41195, 16034, 3084, 62, 1731, 8054, 35402, 62, 16, 33411, 6802, 62, 3903, 796, 366, 44, 9618, 34305, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 514, 8568, 329, 285, 9618, 269, 21180, 46506, 514, 62, 41195, 16034, 3084, 62, 1731, 8054, 35402, 62, 16, 33411, 6802, 62, 3903, 796, 366, 44, 9618, 34305, 1 ]
What is the max pressure for the 468ft lbf (634 j) muzzle energy?
SELECT "Max pressure" FROM table_50168 WHERE "Muzzle energy" = '468ft•lbf (634 j)'
[ 2061, 318, 262, 3509, 3833, 329, 262, 604, 3104, 701, 18360, 69, 357, 21, 2682, 474, 8, 31746, 2568, 30, 46506, 366, 11518, 3833, 1, 16034, 3084, 62, 33548, 3104, 33411, 366, 44, 9625, 2568, 1, 796, 705, 38472, 701, 3581, 75, 19881, 357, 21, 2682, 474, 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, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 3509, 3833, 329, 262, 604, 3104, 701, 18360, 69, 357, 21, 2682, 474, 8, 31746, 2568, 30, 46506, 366, 11518, 3833, 1, 16034, 3084, 62, 33548, 3104, 33411, 366, 44, 9625, 2568, 1, 796, 705, 38472, 701, 3581, 75, 19881, 357, 21, 2682, 474, 33047 ]
When the Year is over 2008, what is the highest Mintage for the Royal Canadian Mint Engravers Artist?
SELECT MAX(mintage) FROM table_name_46 WHERE artist = "royal canadian mint engravers" AND year > 2008
[ 2215, 262, 6280, 318, 625, 3648, 11, 644, 318, 262, 4511, 337, 14630, 329, 262, 8111, 5398, 20873, 1985, 430, 690, 18902, 30, 46506, 25882, 7, 76, 14630, 8, 16034, 3084, 62, 3672, 62, 3510, 33411, 6802, 796, 366, 3287, 282, 460, 18425, 21043, 1786, 430, 690, 1, 5357, 614, 1875, 3648 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 262, 6280, 318, 625, 3648, 11, 644, 318, 262, 4511, 337, 14630, 329, 262, 8111, 5398, 20873, 1985, 430, 690, 18902, 30, 46506, 25882, 7, 76, 14630, 8, 16034, 3084, 62, 3672, 62, 3510, 33411, 6802, 796, 366, 3287, 282, 460, 18425, 21043, 1786, 430, 690, 1, 5357, 614, 1875, 3648 ]
Show all artist names with an average exhibition attendance over 200.
SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING AVG(T1.attendance) > 200
[ 15307, 477, 6802, 3891, 351, 281, 2811, 17127, 14858, 625, 939, 13, 46506, 309, 18, 13, 3672, 16034, 17127, 62, 22105, 7054, 309, 16, 32357, 1268, 17127, 7054, 309, 17, 6177, 309, 16, 13, 1069, 24108, 62, 312, 796, 309, 17, 13, 1069, 24108, 62, 312, 32357, 1268, 6802, 7054, 309, 18, 6177, 309, 18, 13, 49016, 62, 312, 796, 309, 17, 13, 49016, 62, 312, 44441, 11050, 309, 18, 13, 49016, 62, 312, 367, 10116, 2751, 35224, 7, 51, 16, 13, 1078, 437, 590, 8, 1875, 939 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 477, 6802, 3891, 351, 281, 2811, 17127, 14858, 625, 939, 13, 46506, 309, 18, 13, 3672, 16034, 17127, 62, 22105, 7054, 309, 16, 32357, 1268, 17127, 7054, 309, 17, 6177, 309, 16, 13, 1069, 24108, 62, 312, 796, 309, 17, 13, 1069, 24108, 62, 312, 32357, 1268, 6802, 7054, 309, 18, 6177, 309, 18, 13, 49016, 62, 312, 796, 309, 17, 13, 49016, 62, 312, 44441, 11050, 309, 18, 13, 49016, 62, 312, 367, 10116, 2751, 35224, 7, 51, 16, 13, 1078, 437, 590, 8, 1875, 939 ]
How many products have a price higher than the average?
SELECT COUNT(*) FROM products WHERE product_price > (SELECT AVG(product_price) FROM products)
[ 2437, 867, 3186, 423, 257, 2756, 2440, 621, 262, 2811, 30, 46506, 327, 28270, 7, 28104, 16034, 3186, 33411, 1720, 62, 20888, 1875, 357, 46506, 35224, 7, 11167, 62, 20888, 8, 16034, 3186, 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 ]
[ 2437, 867, 3186, 423, 257, 2756, 2440, 621, 262, 2811, 30, 46506, 327, 28270, 7, 28104, 16034, 3186, 33411, 1720, 62, 20888, 1875, 357, 46506, 35224, 7, 11167, 62, 20888, 8, 16034, 3186, 8 ]
what is the number of patients whose admission year is less than 2139 and diagnoses short title is candidias urogenital nec?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2139" AND diagnoses.short_title = "Candidias urogenital NEC"
[ 10919, 318, 262, 1271, 286, 3871, 3025, 13938, 614, 318, 1342, 621, 362, 20219, 290, 40567, 1790, 3670, 318, 2960, 4448, 334, 8648, 1287, 27576, 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, 20219, 1, 5357, 40567, 13, 19509, 62, 7839, 796, 366, 41572, 312, 4448, 334, 8648, 1287, 41804, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13938, 614, 318, 1342, 621, 362, 20219, 290, 40567, 1790, 3670, 318, 2960, 4448, 334, 8648, 1287, 27576, 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, 20219, 1, 5357, 40567, 13, 19509, 62, 7839, 796, 366, 41572, 312, 4448, 334, 8648, 1287, 41804, 1 ]
What is the A330 for A310 B10?
SELECT "A330" FROM table_47200 WHERE "A310" = 'b10'
[ 2061, 318, 262, 317, 26073, 329, 317, 26717, 347, 940, 30, 46506, 366, 32, 26073, 1, 16034, 3084, 62, 2857, 2167, 33411, 366, 32, 26717, 1, 796, 705, 65, 940, 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, 317, 26073, 329, 317, 26717, 347, 940, 30, 46506, 366, 32, 26073, 1, 16034, 3084, 62, 2857, 2167, 33411, 366, 32, 26717, 1, 796, 705, 65, 940, 6 ]
How many doses for the bacillus calmette-gu rin?
SELECT number_of_doses FROM table_name_13 WHERE vaccine = "bacillus calmette-guérin"
[ 2437, 867, 16376, 329, 262, 275, 330, 44342, 2386, 4164, 660, 12, 5162, 374, 259, 30, 46506, 1271, 62, 1659, 62, 67, 4629, 16034, 3084, 62, 3672, 62, 1485, 33411, 12319, 796, 366, 65, 330, 44342, 2386, 4164, 660, 12, 5162, 2634, 12769, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16376, 329, 262, 275, 330, 44342, 2386, 4164, 660, 12, 5162, 374, 259, 30, 46506, 1271, 62, 1659, 62, 67, 4629, 16034, 3084, 62, 3672, 62, 1485, 33411, 12319, 796, 366, 65, 330, 44342, 2386, 4164, 660, 12, 5162, 2634, 12769, 1 ]
Which Partner has an Opponents of wayne arthurs sandon stolle?
SELECT partner FROM table_name_24 WHERE opponents = "wayne arthurs sandon stolle"
[ 13828, 35532, 468, 281, 9385, 3906, 286, 835, 710, 610, 400, 1834, 264, 5063, 336, 349, 293, 30, 46506, 5212, 16034, 3084, 62, 3672, 62, 1731, 33411, 7691, 796, 366, 43932, 610, 400, 1834, 264, 5063, 336, 349, 293, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 35532, 468, 281, 9385, 3906, 286, 835, 710, 610, 400, 1834, 264, 5063, 336, 349, 293, 30, 46506, 5212, 16034, 3084, 62, 3672, 62, 1731, 33411, 7691, 796, 366, 43932, 610, 400, 1834, 264, 5063, 336, 349, 293, 1 ]
What is the college/junior/club team name of player Mats Lindgren?
SELECT college_junior_club_team FROM table_2781227_1 WHERE player = "Mats Lindgren"
[ 2061, 318, 262, 4152, 14, 29741, 1504, 14, 18664, 1074, 1438, 286, 2137, 30107, 9329, 32762, 30, 46506, 4152, 62, 29741, 1504, 62, 18664, 62, 15097, 16034, 3084, 62, 25870, 1065, 1983, 62, 16, 33411, 2137, 796, 366, 44, 1381, 9329, 32762, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4152, 14, 29741, 1504, 14, 18664, 1074, 1438, 286, 2137, 30107, 9329, 32762, 30, 46506, 4152, 62, 29741, 1504, 62, 18664, 62, 15097, 16034, 3084, 62, 25870, 1065, 1983, 62, 16, 33411, 2137, 796, 366, 44, 1381, 9329, 32762, 1 ]
What do I need before taking SEAS 698 and 798 ?
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 = 698 OR COURSE_1.number = 798) AND COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'SEAS'
[ 2061, 466, 314, 761, 878, 2263, 7946, 1921, 39861, 290, 767, 4089, 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, 39861, 6375, 37384, 5188, 62, 16, 13, 17618, 796, 767, 4089, 8, 5357, 37384, 5188, 62, 15, 13, 17319, 62, 312, 796, 1781, 62, 3866, 27614, 13, 3866, 62, 17319, 62, 312, 5357, 37384, 5188, 62, 16, 13, 17319, 62, 312, 796, 1781, 62, 3866, 27614, 13, 17319, 62, 312, 5357, 37384, 5188, 62, 16, 13, 10378, 1823, 796, 705, 5188, 1921, 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, 1, 1, 1, 1, 1, 1, 1, 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, 466, 314, 761, 878, 2263, 7946, 1921, 39861, 290, 767, 4089, 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, 39861, 6375, 37384, 5188, 62, 16, 13, 17618, 796, 767, 4089, 8, 5357, 37384, 5188, 62, 15, 13, 17319, 62, 312, 796, 1781, 62, 3866, 27614, 13, 3866, 62, 17319, 62, 312, 5357, 37384, 5188, 62, 16, 13, 17319, 62, 312, 796, 1781, 62, 3866, 27614, 13, 17319, 62, 312, 5357, 37384, 5188, 62, 16, 13, 10378, 1823, 796, 705, 5188, 1921, 6 ]
What year was the Album/Song Speaking louder than before?
SELECT SUM("Year") FROM table_69302 WHERE "Album / Song" = 'speaking louder than before'
[ 2061, 614, 373, 262, 23999, 14, 44241, 21393, 27089, 621, 878, 30, 46506, 35683, 7203, 17688, 4943, 16034, 3084, 62, 3388, 22709, 33411, 366, 2348, 4435, 1220, 10940, 1, 796, 705, 25159, 27089, 621, 878, 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 ]
[ 2061, 614, 373, 262, 23999, 14, 44241, 21393, 27089, 621, 878, 30, 46506, 35683, 7203, 17688, 4943, 16034, 3084, 62, 3388, 22709, 33411, 366, 2348, 4435, 1220, 10940, 1, 796, 705, 25159, 27089, 621, 878, 6 ]
what amount of people , at most , can begin arena hold ?
SELECT "capacity" FROM table_204_195 WHERE "stadium" = 'begin arena'
[ 10919, 2033, 286, 661, 837, 379, 749, 837, 460, 2221, 13478, 1745, 5633, 46506, 366, 42404, 1, 16034, 3084, 62, 18638, 62, 22186, 33411, 366, 301, 6271, 1, 796, 705, 27471, 13478, 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, 2033, 286, 661, 837, 379, 749, 837, 460, 2221, 13478, 1745, 5633, 46506, 366, 42404, 1, 16034, 3084, 62, 18638, 62, 22186, 33411, 366, 301, 6271, 1, 796, 705, 27471, 13478, 6 ]
What is the record for May 31?
SELECT record FROM table_name_83 WHERE date = "may 31"
[ 2061, 318, 262, 1700, 329, 1737, 3261, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 5999, 33411, 3128, 796, 366, 11261, 3261, 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, 1700, 329, 1737, 3261, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 5999, 33411, 3128, 796, 366, 11261, 3261, 1 ]
Name the average bronze with silver more than 0, total of 6 and gold more than 0
SELECT AVG("Bronze") FROM table_70367 WHERE "Silver" > '0' AND "Total" = '6' AND "Gold" > '0'
[ 5376, 262, 2811, 22101, 351, 8465, 517, 621, 657, 11, 2472, 286, 718, 290, 3869, 517, 621, 657, 46506, 35224, 7203, 18760, 2736, 4943, 16034, 3084, 62, 2154, 27824, 33411, 366, 26766, 1, 1875, 705, 15, 6, 5357, 366, 14957, 1, 796, 705, 21, 6, 5357, 366, 13306, 1, 1875, 705, 15, 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 ]
[ 5376, 262, 2811, 22101, 351, 8465, 517, 621, 657, 11, 2472, 286, 718, 290, 3869, 517, 621, 657, 46506, 35224, 7203, 18760, 2736, 4943, 16034, 3084, 62, 2154, 27824, 33411, 366, 26766, 1, 1875, 705, 15, 6, 5357, 366, 14957, 1, 796, 705, 21, 6, 5357, 366, 13306, 1, 1875, 705, 15, 6 ]
What is the average of laps ridden by Toni Elias?
SELECT AVG("Laps") FROM table_49459 WHERE "Rider" = 'toni elias'
[ 2061, 318, 262, 2811, 286, 24590, 46715, 416, 309, 14651, 41462, 30, 46506, 35224, 7203, 43, 1686, 4943, 16034, 3084, 62, 2920, 33459, 33411, 366, 49, 1304, 1, 796, 705, 1122, 72, 1288, 4448, 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 ]
[ 2061, 318, 262, 2811, 286, 24590, 46715, 416, 309, 14651, 41462, 30, 46506, 35224, 7203, 43, 1686, 4943, 16034, 3084, 62, 2920, 33459, 33411, 366, 49, 1304, 1, 796, 705, 1122, 72, 1288, 4448, 6 ]
Please show me how many employees working on different countries using a bar chart, and display from high to low by the total number.
SELECT COUNTRY_NAME, COUNT(COUNTRY_NAME) FROM countries GROUP BY COUNTRY_NAME ORDER BY COUNT(COUNTRY_NAME) DESC
[ 5492, 905, 502, 703, 867, 4409, 1762, 319, 1180, 2678, 1262, 257, 2318, 8262, 11, 290, 3359, 422, 1029, 284, 1877, 416, 262, 2472, 1271, 13, 46506, 31404, 40405, 62, 20608, 11, 327, 28270, 7, 34, 19385, 40405, 62, 20608, 8, 16034, 2678, 44441, 11050, 31404, 40405, 62, 20608, 38678, 11050, 327, 28270, 7, 34, 19385, 40405, 62, 20608, 8, 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 ]
[ 5492, 905, 502, 703, 867, 4409, 1762, 319, 1180, 2678, 1262, 257, 2318, 8262, 11, 290, 3359, 422, 1029, 284, 1877, 416, 262, 2472, 1271, 13, 46506, 31404, 40405, 62, 20608, 11, 327, 28270, 7, 34, 19385, 40405, 62, 20608, 8, 16034, 2678, 44441, 11050, 31404, 40405, 62, 20608, 38678, 11050, 327, 28270, 7, 34, 19385, 40405, 62, 20608, 8, 22196, 34 ]
how much is the average cost for a hospital that contains ceftriaxone in 2103?
SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT medication.patientunitstayid FROM medication WHERE medication.drugname = 'ceftriaxone')) AND STRFTIME('%y', cost.chargetime) = '2103' GROUP BY cost.patienthealthsystemstayid) AS t1
[ 4919, 881, 318, 262, 2811, 1575, 329, 257, 4436, 326, 4909, 2906, 701, 380, 897, 505, 287, 362, 15197, 30, 46506, 35224, 7, 83, 16, 13, 66, 16, 8, 16034, 357, 46506, 35683, 7, 15805, 13, 15805, 8, 7054, 269, 16, 16034, 1575, 33411, 1575, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 14103, 13, 26029, 20850, 31712, 312, 16034, 14103, 33411, 14103, 13, 30349, 3672, 796, 705, 344, 701, 380, 897, 505, 6, 4008, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 1575, 13, 354, 7641, 524, 8, 796, 705, 17, 15197, 6, 44441, 11050, 1575, 13, 26029, 13948, 10057, 31712, 312, 8, 7054, 256, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 881, 318, 262, 2811, 1575, 329, 257, 4436, 326, 4909, 2906, 701, 380, 897, 505, 287, 362, 15197, 30, 46506, 35224, 7, 83, 16, 13, 66, 16, 8, 16034, 357, 46506, 35683, 7, 15805, 13, 15805, 8, 7054, 269, 16, 16034, 1575, 33411, 1575, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 14103, 13, 26029, 20850, 31712, 312, 16034, 14103, 33411, 14103, 13, 30349, 3672, 796, 705, 344, 701, 380, 897, 505, 6, 4008, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 1575, 13, 354, 7641, 524, 8, 796, 705, 17, 15197, 6, 44441, 11050, 1575, 13, 26029, 13948, 10057, 31712, 312, 8, 7054, 256, 16 ]
How many patients do each physician take care of? List their names and number of patients they take care of in a pie chart.
SELECT T1.Name, COUNT(*) FROM Physician AS T1 JOIN Patient AS T2 ON T1.EmployeeID = T2.PCP GROUP BY T1.EmployeeID
[ 2437, 867, 3871, 466, 1123, 14325, 1011, 1337, 286, 30, 7343, 511, 3891, 290, 1271, 286, 3871, 484, 1011, 1337, 286, 287, 257, 2508, 8262, 13, 46506, 309, 16, 13, 5376, 11, 327, 28270, 7, 28104, 16034, 8687, 6749, 7054, 309, 16, 32357, 1268, 35550, 7054, 309, 17, 6177, 309, 16, 13, 29733, 1453, 2389, 796, 309, 17, 13, 5662, 47, 44441, 11050, 309, 16, 13, 29733, 1453, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 3871, 466, 1123, 14325, 1011, 1337, 286, 30, 7343, 511, 3891, 290, 1271, 286, 3871, 484, 1011, 1337, 286, 287, 257, 2508, 8262, 13, 46506, 309, 16, 13, 5376, 11, 327, 28270, 7, 28104, 16034, 8687, 6749, 7054, 309, 16, 32357, 1268, 35550, 7054, 309, 17, 6177, 309, 16, 13, 29733, 1453, 2389, 796, 309, 17, 13, 5662, 47, 44441, 11050, 309, 16, 13, 29733, 1453, 2389 ]
Which country is t3 finisher billy mayfair from?
SELECT country FROM table_name_37 WHERE place = "t3" AND player = "billy mayfair"
[ 13828, 1499, 318, 256, 18, 957, 4828, 2855, 88, 743, 22043, 422, 30, 46506, 1499, 16034, 3084, 62, 3672, 62, 2718, 33411, 1295, 796, 366, 83, 18, 1, 5357, 2137, 796, 366, 65, 6548, 743, 22043, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1499, 318, 256, 18, 957, 4828, 2855, 88, 743, 22043, 422, 30, 46506, 1499, 16034, 3084, 62, 3672, 62, 2718, 33411, 1295, 796, 366, 83, 18, 1, 5357, 2137, 796, 366, 65, 6548, 743, 22043, 1 ]
Which winery is the wine that has the highest score from?
SELECT winery FROM wine ORDER BY score LIMIT 1
[ 13828, 1592, 1924, 318, 262, 8237, 326, 468, 262, 4511, 4776, 422, 30, 46506, 1592, 1924, 16034, 8237, 38678, 11050, 4776, 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 ]
[ 13828, 1592, 1924, 318, 262, 8237, 326, 468, 262, 4511, 4776, 422, 30, 46506, 1592, 1924, 16034, 8237, 38678, 11050, 4776, 27564, 2043, 352 ]
What is the season year where the rank is 39?
SELECT "TV season" FROM table_15941 WHERE "Rank" = '39'
[ 2061, 318, 262, 1622, 614, 810, 262, 4279, 318, 5014, 30, 46506, 366, 6849, 1622, 1, 16034, 3084, 62, 19707, 3901, 33411, 366, 27520, 1, 796, 705, 2670, 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 ]
[ 2061, 318, 262, 1622, 614, 810, 262, 4279, 318, 5014, 30, 46506, 366, 6849, 1622, 1, 16034, 3084, 62, 19707, 3901, 33411, 366, 27520, 1, 796, 705, 2670, 6 ]
Which movies have 'Deleted Scenes' as a substring in the special feature?
SELECT title FROM film WHERE special_features LIKE '%Deleted Scenes%'
[ 13828, 6918, 423, 705, 5005, 33342, 49525, 6, 355, 257, 3293, 1806, 287, 262, 2041, 3895, 30, 46506, 3670, 16034, 2646, 33411, 2041, 62, 40890, 34178, 705, 4, 5005, 33342, 49525, 4, 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 ]
[ 13828, 6918, 423, 705, 5005, 33342, 49525, 6, 355, 257, 3293, 1806, 287, 262, 2041, 3895, 30, 46506, 3670, 16034, 2646, 33411, 2041, 62, 40890, 34178, 705, 4, 5005, 33342, 49525, 4, 6 ]
until 2103, what are the top five most common procedures?
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE STRFTIME('%y', procedures_icd.charttime) <= '2103' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 5)
[ 28446, 362, 15197, 11, 644, 389, 262, 1353, 1936, 749, 2219, 9021, 30, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 256, 16, 13, 291, 67, 24, 62, 8189, 16034, 357, 46506, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 9021, 62, 291, 67, 33411, 19269, 9792, 12789, 10786, 4, 88, 3256, 9021, 62, 291, 67, 13, 40926, 2435, 8, 19841, 705, 17, 15197, 6, 44441, 11050, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 8, 7054, 256, 16, 33411, 256, 16, 13, 66, 16, 19841, 642, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 28446, 362, 15197, 11, 644, 389, 262, 1353, 1936, 749, 2219, 9021, 30, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 256, 16, 13, 291, 67, 24, 62, 8189, 16034, 357, 46506, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 9021, 62, 291, 67, 33411, 19269, 9792, 12789, 10786, 4, 88, 3256, 9021, 62, 291, 67, 13, 40926, 2435, 8, 19841, 705, 17, 15197, 6, 44441, 11050, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 8, 7054, 256, 16, 33411, 256, 16, 13, 66, 16, 19841, 642, 8 ]
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the email , rank in desc by the bars.
SELECT EMAIL, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL DESC
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 1577, 502, 262, 7208, 546, 5810, 62, 79, 310, 625, 262, 3053, 837, 4279, 287, 1715, 416, 262, 9210, 13, 46506, 412, 5673, 4146, 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, 412, 5673, 4146, 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, 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, 1577, 502, 262, 7208, 546, 5810, 62, 79, 310, 625, 262, 3053, 837, 4279, 287, 1715, 416, 262, 9210, 13, 46506, 412, 5673, 4146, 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, 412, 5673, 4146, 22196, 34 ]
Who won the ABA Championship in 1971?
SELECT MIN(championships) FROM table_name_94 WHERE years_won = "1971"
[ 8241, 1839, 262, 317, 4339, 10749, 287, 16382, 30, 46506, 20625, 7, 354, 4350, 5748, 8, 16034, 3084, 62, 3672, 62, 5824, 33411, 812, 62, 26502, 796, 366, 41208, 1 ]
[ 1, 1, 1, 1, 1, 1, 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, 1839, 262, 317, 4339, 10749, 287, 16382, 30, 46506, 20625, 7, 354, 4350, 5748, 8, 16034, 3084, 62, 3672, 62, 5824, 33411, 812, 62, 26502, 796, 366, 41208, 1 ]
Who was the away team when the home team was Sunderland?
SELECT "Away team" FROM table_49878 WHERE "Home team" = 'sunderland'
[ 8241, 373, 262, 1497, 1074, 618, 262, 1363, 1074, 373, 35706, 30, 46506, 366, 32, 1014, 1074, 1, 16034, 3084, 62, 36260, 3695, 33411, 366, 16060, 1074, 1, 796, 705, 2385, 681, 1044, 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 ]
[ 8241, 373, 262, 1497, 1074, 618, 262, 1363, 1074, 373, 35706, 30, 46506, 366, 32, 1014, 1074, 1, 16034, 3084, 62, 36260, 3695, 33411, 366, 16060, 1074, 1, 796, 705, 2385, 681, 1044, 6 ]
When was Mount Tahoma established?
SELECT MAX(established) FROM table_1414702_3 WHERE high_school = "Mount Tahoma"
[ 2215, 373, 5628, 26293, 6086, 4920, 30, 46506, 25882, 7, 27718, 8, 16034, 3084, 62, 1415, 1415, 36680, 62, 18, 33411, 1029, 62, 14347, 796, 366, 35452, 26293, 6086, 1 ]
[ 1, 1, 1, 1, 1, 1, 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, 373, 5628, 26293, 6086, 4920, 30, 46506, 25882, 7, 27718, 8, 16034, 3084, 62, 1415, 1415, 36680, 62, 18, 33411, 1029, 62, 14347, 796, 366, 35452, 26293, 6086, 1 ]
What were the investment earnings in the year that State and Federal taxes were $13,999,169?
SELECT investment_earnings FROM table_name_26 WHERE state_ & _federal = "13,999,169"
[ 2061, 547, 262, 4896, 12042, 287, 262, 614, 326, 1812, 290, 5618, 5704, 547, 720, 1485, 11, 17032, 11, 22172, 30, 46506, 4896, 62, 451, 23400, 16034, 3084, 62, 3672, 62, 2075, 33411, 1181, 62, 1222, 4808, 69, 2110, 796, 366, 1485, 11, 17032, 11, 22172, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 262, 4896, 12042, 287, 262, 614, 326, 1812, 290, 5618, 5704, 547, 720, 1485, 11, 17032, 11, 22172, 30, 46506, 4896, 62, 451, 23400, 16034, 3084, 62, 3672, 62, 2075, 33411, 1181, 62, 1222, 4808, 69, 2110, 796, 366, 1485, 11, 17032, 11, 22172, 1 ]
what is the top three most frequent diagnoses among the patients in the 20s since 2102?
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 20 AND 29) AND STRFTIME('%y', diagnosis.diagnosistime) >= '2102' GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 3
[ 10919, 318, 262, 1353, 1115, 749, 10792, 40567, 1871, 262, 3871, 287, 262, 1160, 82, 1201, 362, 15377, 30, 46506, 256, 16, 13, 47356, 5958, 3672, 16034, 357, 46506, 13669, 13, 47356, 5958, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 13669, 33411, 13669, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 496, 38651, 8845, 1677, 1160, 5357, 2808, 8, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 13669, 13, 47356, 418, 396, 524, 8, 18189, 705, 17, 15377, 6, 44441, 11050, 13669, 13, 47356, 5958, 3672, 8, 7054, 256, 16, 33411, 256, 16, 13, 66, 16, 19841, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1353, 1115, 749, 10792, 40567, 1871, 262, 3871, 287, 262, 1160, 82, 1201, 362, 15377, 30, 46506, 256, 16, 13, 47356, 5958, 3672, 16034, 357, 46506, 13669, 13, 47356, 5958, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 13669, 33411, 13669, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 496, 38651, 8845, 1677, 1160, 5357, 2808, 8, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 13669, 13, 47356, 418, 396, 524, 8, 18189, 705, 17, 15377, 6, 44441, 11050, 13669, 13, 47356, 5958, 3672, 8, 7054, 256, 16, 33411, 256, 16, 13, 66, 16, 19841, 513 ]
What is the Branding for Group Owner Qantam of Cape Cod, LLC?
SELECT "Branding" FROM table_36 WHERE "Group owner" = 'Qantam of Cape Cod, LLC'
[ 2061, 318, 262, 13512, 278, 329, 4912, 23853, 1195, 49653, 286, 15725, 18720, 11, 11419, 30, 46506, 366, 9414, 27225, 1, 16034, 3084, 62, 2623, 33411, 366, 13247, 4870, 1, 796, 705, 48, 49653, 286, 15725, 18720, 11, 11419, 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 ]
[ 2061, 318, 262, 13512, 278, 329, 4912, 23853, 1195, 49653, 286, 15725, 18720, 11, 11419, 30, 46506, 366, 9414, 27225, 1, 16034, 3084, 62, 2623, 33411, 366, 13247, 4870, 1, 796, 705, 48, 49653, 286, 15725, 18720, 11, 11419, 6 ]
Which france nationality has a lane larger than 3?
SELECT name FROM table_name_19 WHERE lane > 3 AND nationality = "france"
[ 13828, 1216, 590, 29835, 468, 257, 11193, 4025, 621, 513, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 1129, 33411, 11193, 1875, 513, 5357, 29835, 796, 366, 69, 8132, 1 ]
[ 1, 1, 1, 1, 1, 1, 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, 1216, 590, 29835, 468, 257, 11193, 4025, 621, 513, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 1129, 33411, 11193, 1875, 513, 5357, 29835, 796, 366, 69, 8132, 1 ]
What's the fastest laps during the 1995 season having poles & podiums at 0?
SELECT SUM(fastest_laps) FROM table_name_2 WHERE poles = 0 AND podiums = 0 AND seasons = "1995"
[ 2061, 338, 262, 14162, 24590, 1141, 262, 8735, 1622, 1719, 24971, 1222, 27941, 82, 379, 657, 30, 46506, 35683, 7, 7217, 395, 62, 75, 1686, 8, 16034, 3084, 62, 3672, 62, 17, 33411, 24971, 796, 657, 5357, 27941, 82, 796, 657, 5357, 7028, 796, 366, 21908, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14162, 24590, 1141, 262, 8735, 1622, 1719, 24971, 1222, 27941, 82, 379, 657, 30, 46506, 35683, 7, 7217, 395, 62, 75, 1686, 8, 16034, 3084, 62, 3672, 62, 17, 33411, 24971, 796, 657, 5357, 27941, 82, 796, 657, 5357, 7028, 796, 366, 21908, 1 ]
how long is the shortest song on the album ?
SELECT "length" FROM table_203_38 ORDER BY "length" LIMIT 1
[ 4919, 890, 318, 262, 35581, 3496, 319, 262, 5062, 5633, 46506, 366, 13664, 1, 16034, 3084, 62, 22416, 62, 2548, 38678, 11050, 366, 13664, 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 ]
[ 4919, 890, 318, 262, 35581, 3496, 319, 262, 5062, 5633, 46506, 366, 13664, 1, 16034, 3084, 62, 22416, 62, 2548, 38678, 11050, 366, 13664, 1, 27564, 2043, 352 ]
All posts from Jan 1, 2019.
SELECT * FROM Posts WHERE CreationDate >= '2019-03-25'
[ 3237, 6851, 422, 2365, 352, 11, 13130, 13, 46506, 1635, 16034, 12043, 33411, 21582, 10430, 18189, 705, 23344, 12, 3070, 12, 1495, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 3237, 6851, 422, 2365, 352, 11, 13130, 13, 46506, 1635, 16034, 12043, 33411, 21582, 10430, 18189, 705, 23344, 12, 3070, 12, 1495, 6 ]
give me the number of patients whose drug code is atro1i?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "ATRO1I"
[ 26535, 502, 262, 1271, 286, 3871, 3025, 2563, 2438, 318, 38324, 16, 72, 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, 34092, 13, 687, 377, 560, 62, 30349, 62, 10210, 796, 366, 1404, 13252, 16, 40, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3025, 2563, 2438, 318, 38324, 16, 72, 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, 34092, 13, 687, 377, 560, 62, 30349, 62, 10210, 796, 366, 1404, 13252, 16, 40, 1 ]
What are the id and name of the mountains that have at least 2 photos?
SELECT T1.id, T1.name FROM mountain AS T1 JOIN photos AS T2 ON T1.id = T2.mountain_id GROUP BY T1.id HAVING COUNT(*) >= 2
[ 2061, 389, 262, 4686, 290, 1438, 286, 262, 12269, 326, 423, 379, 1551, 362, 5205, 30, 46506, 309, 16, 13, 312, 11, 309, 16, 13, 3672, 16034, 8598, 7054, 309, 16, 32357, 1268, 5205, 7054, 309, 17, 6177, 309, 16, 13, 312, 796, 309, 17, 13, 14948, 391, 62, 312, 44441, 11050, 309, 16, 13, 312, 367, 10116, 2751, 327, 28270, 7, 28104, 18189, 362 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4686, 290, 1438, 286, 262, 12269, 326, 423, 379, 1551, 362, 5205, 30, 46506, 309, 16, 13, 312, 11, 309, 16, 13, 3672, 16034, 8598, 7054, 309, 16, 32357, 1268, 5205, 7054, 309, 17, 6177, 309, 16, 13, 312, 796, 309, 17, 13, 14948, 391, 62, 312, 44441, 11050, 309, 16, 13, 312, 367, 10116, 2751, 327, 28270, 7, 28104, 18189, 362 ]
For those employees who did not have any job in the past, show me about the distribution of hire_date and the sum of salary bin hire_date by weekday in a bar chart.
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history)
[ 1890, 883, 4409, 508, 750, 407, 423, 597, 1693, 287, 262, 1613, 11, 905, 502, 546, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2160, 286, 9588, 9874, 11078, 62, 4475, 416, 28269, 287, 257, 2318, 8262, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 35683, 7, 50, 1847, 13153, 8, 16034, 4409, 33411, 5626, 17228, 6489, 21414, 6500, 62, 2389, 3268, 357, 46506, 17228, 6489, 21414, 6500, 62, 2389, 16034, 1693, 62, 23569, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 750, 407, 423, 597, 1693, 287, 262, 1613, 11, 905, 502, 546, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2160, 286, 9588, 9874, 11078, 62, 4475, 416, 28269, 287, 257, 2318, 8262, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 35683, 7, 50, 1847, 13153, 8, 16034, 4409, 33411, 5626, 17228, 6489, 21414, 6500, 62, 2389, 3268, 357, 46506, 17228, 6489, 21414, 6500, 62, 2389, 16034, 1693, 62, 23569, 8 ]
What is the method when the opponent is Andre Roberts?
SELECT method FROM table_name_34 WHERE opponent = "andre roberts"
[ 2061, 318, 262, 2446, 618, 262, 6125, 318, 10948, 10918, 30, 46506, 2446, 16034, 3084, 62, 3672, 62, 2682, 33411, 6125, 796, 366, 49078, 686, 527, 912, 1 ]
[ 1, 1, 1, 1, 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, 6125, 318, 10948, 10918, 30, 46506, 2446, 16034, 3084, 62, 3672, 62, 2682, 33411, 6125, 796, 366, 49078, 686, 527, 912, 1 ]
How many total goals did the squad with 2 playoff apps, 2 FA Cup Apps, and 0 League Cup goals get?
SELECT SUM("Total Goals") FROM table_47046 WHERE "Playoff Apps" = '2' AND "FA Cup Apps" = '2' AND "League Cup Goals" < '0'
[ 2437, 867, 2472, 4661, 750, 262, 8244, 351, 362, 13119, 6725, 11, 362, 9677, 5454, 27710, 11, 290, 657, 4041, 5454, 4661, 651, 30, 46506, 35683, 7203, 14957, 28510, 4943, 16034, 3084, 62, 27790, 3510, 33411, 366, 11002, 2364, 27710, 1, 796, 705, 17, 6, 5357, 366, 7708, 5454, 27710, 1, 796, 705, 17, 6, 5357, 366, 24623, 5454, 28510, 1, 1279, 705, 15, 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 ]
[ 2437, 867, 2472, 4661, 750, 262, 8244, 351, 362, 13119, 6725, 11, 362, 9677, 5454, 27710, 11, 290, 657, 4041, 5454, 4661, 651, 30, 46506, 35683, 7203, 14957, 28510, 4943, 16034, 3084, 62, 27790, 3510, 33411, 366, 11002, 2364, 27710, 1, 796, 705, 17, 6, 5357, 366, 7708, 5454, 27710, 1, 796, 705, 17, 6, 5357, 366, 24623, 5454, 28510, 1, 1279, 705, 15, 6 ]
chronic inflammatory disease
SELECT * FROM table_test_15 WHERE chronic_inflammatory_disease = 1
[ 354, 4565, 23760, 4369, 46506, 1635, 16034, 3084, 62, 9288, 62, 1314, 33411, 10726, 62, 32272, 62, 67, 786, 589, 796, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 354, 4565, 23760, 4369, 46506, 1635, 16034, 3084, 62, 9288, 62, 1314, 33411, 10726, 62, 32272, 62, 67, 786, 589, 796, 352 ]
What is the record when the visiting team was the montreal canadiens?
SELECT record FROM table_name_45 WHERE visitor = "montreal canadiens"
[ 2061, 318, 262, 1700, 618, 262, 10013, 1074, 373, 262, 40689, 5305, 460, 9189, 641, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 2231, 33411, 21493, 796, 366, 8691, 5305, 460, 9189, 641, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1700, 618, 262, 10013, 1074, 373, 262, 40689, 5305, 460, 9189, 641, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 2231, 33411, 21493, 796, 366, 8691, 5305, 460, 9189, 641, 1 ]
give me the number of patients whose ethnicity is asian and diagnoses icd9 code is 30501?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "ASIAN" AND diagnoses.icd9_code = "30501"
[ 26535, 502, 262, 1271, 286, 3871, 3025, 26289, 318, 355, 666, 290, 40567, 14158, 67, 24, 2438, 318, 32747, 486, 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, 38546, 414, 796, 366, 1921, 16868, 1, 5357, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 22515, 486, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3025, 26289, 318, 355, 666, 290, 40567, 14158, 67, 24, 2438, 318, 32747, 486, 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, 38546, 414, 796, 366, 1921, 16868, 1, 5357, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 22515, 486, 1 ]
For dates had a minimum dew point smaller than any day in zip code 94107, show the total number of such days for each weekday using a bar chart, I want to rank Y-axis in asc order.
SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) ORDER BY COUNT(date)
[ 1890, 9667, 550, 257, 5288, 390, 86, 966, 4833, 621, 597, 1110, 287, 19974, 2438, 10048, 15982, 11, 905, 262, 2472, 1271, 286, 884, 1528, 329, 1123, 28269, 1262, 257, 2318, 8262, 11, 314, 765, 284, 4279, 575, 12, 22704, 287, 10570, 1502, 13, 46506, 3128, 11, 327, 28270, 7, 4475, 8, 16034, 6193, 33411, 949, 62, 67, 413, 62, 4122, 62, 69, 1279, 357, 46506, 20625, 7, 1084, 62, 67, 413, 62, 4122, 62, 69, 8, 16034, 6193, 33411, 19974, 62, 8189, 796, 10048, 15982, 8, 38678, 11050, 327, 28270, 7, 4475, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9667, 550, 257, 5288, 390, 86, 966, 4833, 621, 597, 1110, 287, 19974, 2438, 10048, 15982, 11, 905, 262, 2472, 1271, 286, 884, 1528, 329, 1123, 28269, 1262, 257, 2318, 8262, 11, 314, 765, 284, 4279, 575, 12, 22704, 287, 10570, 1502, 13, 46506, 3128, 11, 327, 28270, 7, 4475, 8, 16034, 6193, 33411, 949, 62, 67, 413, 62, 4122, 62, 69, 1279, 357, 46506, 20625, 7, 1084, 62, 67, 413, 62, 4122, 62, 69, 8, 16034, 6193, 33411, 19974, 62, 8189, 796, 10048, 15982, 8, 38678, 11050, 327, 28270, 7, 4475, 8 ]
Question by month (AWS, Azure, GCP).
SELECT DATEADD(mm, (YEAR(Posts.CreationDate) - 1900) * 12 + MONTH(Posts.CreationDate) - 1, 0) AS Month, Tags.TagName, COUNT(*) AS Questions FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ('amazon-web-services', 'azure', 'google-cloud-platform') AND PostTypes.Name = 'Question' AND Posts.CreationDate < DATEADD(month, DATEDIFF(month, 0, GETDATE()), 0) GROUP BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName ORDER BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName
[ 24361, 416, 1227, 357, 12298, 50, 11, 22134, 11, 402, 8697, 737, 46506, 360, 6158, 29266, 7, 3020, 11, 357, 56, 17133, 7, 21496, 13, 12443, 341, 10430, 8, 532, 21489, 8, 1635, 1105, 1343, 25000, 4221, 7, 21496, 13, 12443, 341, 10430, 8, 532, 352, 11, 657, 8, 7054, 16061, 11, 44789, 13, 24835, 5376, 11, 327, 28270, 7, 28104, 7054, 20396, 16034, 44789, 12509, 9792, 32357, 1268, 2947, 36142, 6177, 2947, 36142, 13, 24835, 7390, 796, 44789, 13, 7390, 12509, 9792, 32357, 1268, 12043, 6177, 12043, 13, 7390, 796, 2947, 36142, 13, 6307, 7390, 12509, 9792, 32357, 1268, 2947, 31431, 6177, 2947, 31431, 13, 7390, 796, 12043, 13, 6307, 6030, 7390, 33411, 44789, 13, 24835, 5376, 3268, 19203, 33103, 12, 12384, 12, 30416, 3256, 705, 1031, 495, 3256, 705, 13297, 12, 17721, 12, 24254, 11537, 5357, 2947, 31431, 13, 5376, 796, 705, 24361, 6, 5357, 12043, 13, 12443, 341, 10430, 1279, 360, 6158, 29266, 7, 8424, 11, 360, 11617, 29267, 7, 8424, 11, 657, 11, 17151, 35, 6158, 3419, 828, 657, 8, 44441, 11050, 32914, 7, 21496, 13, 12443, 341, 10430, 828, 25000, 4221, 7, 21496, 13, 12443, 341, 10430, 828, 44789, 13, 24835, 5376, 38678, 11050, 32914, 7, 21496, 13, 12443, 341, 10430, 828, 25000, 4221, 7, 21496, 13, 12443, 341, 10430, 828, 44789, 13, 24835, 5376 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 24361, 416, 1227, 357, 12298, 50, 11, 22134, 11, 402, 8697, 737, 46506, 360, 6158, 29266, 7, 3020, 11, 357, 56, 17133, 7, 21496, 13, 12443, 341, 10430, 8, 532, 21489, 8, 1635, 1105, 1343, 25000, 4221, 7, 21496, 13, 12443, 341, 10430, 8, 532, 352, 11, 657, 8, 7054, 16061, 11, 44789, 13, 24835, 5376, 11, 327, 28270, 7, 28104, 7054, 20396, 16034, 44789, 12509, 9792, 32357, 1268, 2947, 36142, 6177, 2947, 36142, 13, 24835, 7390, 796, 44789, 13, 7390, 12509, 9792, 32357, 1268, 12043, 6177, 12043, 13, 7390, 796, 2947, 36142, 13, 6307, 7390, 12509, 9792, 32357, 1268, 2947, 31431, 6177, 2947, 31431, 13, 7390, 796, 12043, 13, 6307, 6030, 7390, 33411, 44789, 13, 24835, 5376, 3268, 19203, 33103, 12, 12384, 12, 30416, 3256, 705, 1031, 495, 3256, 705, 13297, 12, 17721, 12, 24254, 11537, 5357, 2947, 31431, 13, 5376, 796, 705, 24361, 6, 5357, 12043, 13, 12443, 341, 10430, 1279, 360, 6158, 29266, 7, 8424, 11, 360, 11617, 29267, 7, 8424, 11, 657, 11, 17151, 35, 6158, 3419, 828, 657, 8, 44441, 11050, 32914, 7, 21496, 13, 12443, 341, 10430, 828, 25000, 4221, 7, 21496, 13, 12443, 341, 10430, 828, 44789, 13, 24835, 5376, 38678, 11050, 32914, 7, 21496, 13, 12443, 341, 10430, 828, 25000, 4221, 7, 21496, 13, 12443, 341, 10430, 828, 44789, 13, 24835, 5376 ]
What is the name of the player from after 1989 from Washington State?
SELECT player_name FROM table_name_48 WHERE year > 1989 AND college = "washington state"
[ 2061, 318, 262, 1438, 286, 262, 2137, 422, 706, 11104, 422, 2669, 1812, 30, 46506, 2137, 62, 3672, 16034, 3084, 62, 3672, 62, 2780, 33411, 614, 1875, 11104, 5357, 4152, 796, 366, 86, 2542, 1181, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2137, 422, 706, 11104, 422, 2669, 1812, 30, 46506, 2137, 62, 3672, 16034, 3084, 62, 3672, 62, 2780, 33411, 614, 1875, 11104, 5357, 4152, 796, 366, 86, 2542, 1181, 1 ]
Which place in the order is the Pinyin transcription She Jiang?
SELECT MIN("Standard order") FROM table_22128 WHERE "Transcription (based on Pinyin)" = 'She Jiang'
[ 13828, 1295, 287, 262, 1502, 318, 262, 350, 3541, 259, 26955, 1375, 32294, 30, 46506, 20625, 7203, 23615, 1502, 4943, 16034, 3084, 62, 1828, 12762, 33411, 366, 8291, 6820, 357, 3106, 319, 350, 3541, 259, 16725, 796, 705, 3347, 32294, 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, 1295, 287, 262, 1502, 318, 262, 350, 3541, 259, 26955, 1375, 32294, 30, 46506, 20625, 7203, 23615, 1502, 4943, 16034, 3084, 62, 1828, 12762, 33411, 366, 8291, 6820, 357, 3106, 319, 350, 3541, 259, 16725, 796, 705, 3347, 32294, 6 ]
What are the dimensions of the amp with a 180W output?
SELECT dimensions FROM table_name_96 WHERE output = "180w"
[ 2061, 389, 262, 15225, 286, 262, 20766, 351, 257, 11546, 54, 5072, 30, 46506, 15225, 16034, 3084, 62, 3672, 62, 4846, 33411, 5072, 796, 366, 15259, 86, 1 ]
[ 1, 1, 1, 1, 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, 15225, 286, 262, 20766, 351, 257, 11546, 54, 5072, 30, 46506, 15225, 16034, 3084, 62, 3672, 62, 4846, 33411, 5072, 796, 366, 15259, 86, 1 ]
Which year has a Gen.-Secretary of silvana jansen?
SELECT "Year" FROM table_55246 WHERE "Gen.-Secretary" = 'silvana jansen'
[ 13828, 614, 468, 257, 5215, 7874, 38541, 286, 3313, 33175, 474, 33807, 30, 46506, 366, 17688, 1, 16034, 3084, 62, 2816, 26912, 33411, 366, 13746, 7874, 38541, 1, 796, 705, 18217, 33175, 474, 33807, 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 ]
[ 13828, 614, 468, 257, 5215, 7874, 38541, 286, 3313, 33175, 474, 33807, 30, 46506, 366, 17688, 1, 16034, 3084, 62, 2816, 26912, 33411, 366, 13746, 7874, 38541, 1, 796, 705, 18217, 33175, 474, 33807, 6 ]
How many list entry numbers are located in Platting Road, Lydgate?
SELECT COUNT(list_entry_number) FROM table_name_95 WHERE location = "platting road, lydgate"
[ 2437, 867, 1351, 5726, 3146, 389, 5140, 287, 32715, 889, 5567, 11, 406, 5173, 10494, 30, 46506, 327, 28270, 7, 4868, 62, 13000, 62, 17618, 8, 16034, 3084, 62, 3672, 62, 3865, 33411, 4067, 796, 366, 489, 265, 889, 2975, 11, 300, 5173, 10494, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1351, 5726, 3146, 389, 5140, 287, 32715, 889, 5567, 11, 406, 5173, 10494, 30, 46506, 327, 28270, 7, 4868, 62, 13000, 62, 17618, 8, 16034, 3084, 62, 3672, 62, 3865, 33411, 4067, 796, 366, 489, 265, 889, 2975, 11, 300, 5173, 10494, 1 ]
Who is the player with playoff money from the United States?
SELECT player FROM table_name_87 WHERE money___£__ = "playoff" AND country = "united states"
[ 8241, 318, 262, 2137, 351, 13119, 1637, 422, 262, 1578, 1829, 30, 46506, 2137, 16034, 3084, 62, 3672, 62, 5774, 33411, 1637, 17569, 14988, 834, 796, 366, 1759, 2364, 1, 5357, 1499, 796, 366, 41187, 2585, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2137, 351, 13119, 1637, 422, 262, 1578, 1829, 30, 46506, 2137, 16034, 3084, 62, 3672, 62, 5774, 33411, 1637, 17569, 14988, 834, 796, 366, 1759, 2364, 1, 5357, 1499, 796, 366, 41187, 2585, 1 ]
when did patient 017-49538 receive his/her first prescription for potassium chloride crys er 20 meq po tbcr on their first hospital visit?
SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-49538' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND medication.drugname = 'potassium chloride crys er 20 meq po tbcr' ORDER BY medication.drugstarttime LIMIT 1
[ 12518, 750, 5827, 5534, 22, 12, 33781, 2548, 3328, 465, 14, 372, 717, 15077, 329, 33156, 44921, 3960, 82, 1931, 1160, 502, 80, 745, 256, 65, 6098, 319, 511, 717, 4436, 3187, 30, 46506, 14103, 13, 30349, 9688, 2435, 16034, 14103, 33411, 14103, 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, 29326, 12, 33781, 2548, 6, 5357, 5626, 5827, 13, 49257, 6381, 354, 7641, 524, 3180, 15697, 38678, 11050, 5827, 13, 49257, 324, 20124, 524, 27564, 2043, 352, 4008, 5357, 14103, 13, 30349, 3672, 796, 705, 13059, 26663, 44921, 3960, 82, 1931, 1160, 502, 80, 745, 256, 65, 6098, 6, 38678, 11050, 14103, 13, 30349, 9688, 2435, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5534, 22, 12, 33781, 2548, 3328, 465, 14, 372, 717, 15077, 329, 33156, 44921, 3960, 82, 1931, 1160, 502, 80, 745, 256, 65, 6098, 319, 511, 717, 4436, 3187, 30, 46506, 14103, 13, 30349, 9688, 2435, 16034, 14103, 33411, 14103, 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, 29326, 12, 33781, 2548, 6, 5357, 5626, 5827, 13, 49257, 6381, 354, 7641, 524, 3180, 15697, 38678, 11050, 5827, 13, 49257, 324, 20124, 524, 27564, 2043, 352, 4008, 5357, 14103, 13, 30349, 3672, 796, 705, 13059, 26663, 44921, 3960, 82, 1931, 1160, 502, 80, 745, 256, 65, 6098, 6, 38678, 11050, 14103, 13, 30349, 9688, 2435, 27564, 2043, 352 ]
How many papers has Richard Ladner and Linda Shapiro written together ?
SELECT DISTINCT COUNT(1) FROM author AS AUTHOR_0, author AS AUTHOR_1, writes AS WRITES_0, writes AS WRITES_1 WHERE AUTHOR_0.authorname = 'Richard Ladner' AND AUTHOR_1.authorname = 'Linda Shapiro' AND WRITES_0.authorid = AUTHOR_0.authorid AND WRITES_1.authorid = AUTHOR_1.authorid AND WRITES_1.paperid = WRITES_0.paperid
[ 2437, 867, 9473, 468, 6219, 12862, 1008, 290, 21776, 34034, 3194, 1978, 5633, 46506, 360, 8808, 1268, 4177, 327, 28270, 7, 16, 8, 16034, 1772, 7054, 44746, 62, 15, 11, 1772, 7054, 44746, 62, 16, 11, 6797, 7054, 11342, 2043, 1546, 62, 15, 11, 6797, 7054, 11342, 2043, 1546, 62, 16, 33411, 44746, 62, 15, 13, 18439, 1211, 480, 796, 705, 22245, 12862, 1008, 6, 5357, 44746, 62, 16, 13, 18439, 1211, 480, 796, 705, 43, 22261, 34034, 6, 5357, 11342, 2043, 1546, 62, 15, 13, 9800, 312, 796, 44746, 62, 15, 13, 9800, 312, 5357, 11342, 2043, 1546, 62, 16, 13, 9800, 312, 796, 44746, 62, 16, 13, 9800, 312, 5357, 11342, 2043, 1546, 62, 16, 13, 20189, 312, 796, 11342, 2043, 1546, 62, 15, 13, 20189, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9473, 468, 6219, 12862, 1008, 290, 21776, 34034, 3194, 1978, 5633, 46506, 360, 8808, 1268, 4177, 327, 28270, 7, 16, 8, 16034, 1772, 7054, 44746, 62, 15, 11, 1772, 7054, 44746, 62, 16, 11, 6797, 7054, 11342, 2043, 1546, 62, 15, 11, 6797, 7054, 11342, 2043, 1546, 62, 16, 33411, 44746, 62, 15, 13, 18439, 1211, 480, 796, 705, 22245, 12862, 1008, 6, 5357, 44746, 62, 16, 13, 18439, 1211, 480, 796, 705, 43, 22261, 34034, 6, 5357, 11342, 2043, 1546, 62, 15, 13, 9800, 312, 796, 44746, 62, 15, 13, 9800, 312, 5357, 11342, 2043, 1546, 62, 16, 13, 9800, 312, 796, 44746, 62, 16, 13, 9800, 312, 5357, 11342, 2043, 1546, 62, 16, 13, 20189, 312, 796, 11342, 2043, 1546, 62, 15, 13, 20189, 312 ]
what is maximum age of patients whose insurance is private and discharge location is home?
SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.discharge_location = "HOME"
[ 10919, 318, 5415, 2479, 286, 3871, 3025, 5096, 318, 2839, 290, 17655, 4067, 318, 1363, 30, 46506, 25882, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 1040, 3874, 796, 366, 29067, 1, 5357, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 39069, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5415, 2479, 286, 3871, 3025, 5096, 318, 2839, 290, 17655, 4067, 318, 1363, 30, 46506, 25882, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 1040, 3874, 796, 366, 29067, 1, 5357, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 39069, 1 ]
largest victory
SELECT "score" FROM table_203_57 ORDER BY "score" - "score" DESC LIMIT 1
[ 28209, 5373, 46506, 366, 26675, 1, 16034, 3084, 62, 22416, 62, 3553, 38678, 11050, 366, 26675, 1, 532, 366, 26675, 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 ]
[ 28209, 5373, 46506, 366, 26675, 1, 16034, 3084, 62, 22416, 62, 3553, 38678, 11050, 366, 26675, 1, 532, 366, 26675, 1, 22196, 34, 27564, 2043, 352 ]
Which score has t3 as the place?
SELECT "Score" FROM table_68288 WHERE "Place" = 't3'
[ 13828, 4776, 468, 256, 18, 355, 262, 1295, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 3104, 25270, 33411, 366, 27271, 1, 796, 705, 83, 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 ]
[ 13828, 4776, 468, 256, 18, 355, 262, 1295, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 3104, 25270, 33411, 366, 27271, 1, 796, 705, 83, 18, 6 ]
When 35 is the number what is the album?
SELECT "Album" FROM table_22351 WHERE "No." = '35'
[ 2215, 3439, 318, 262, 1271, 644, 318, 262, 5062, 30, 46506, 366, 2348, 4435, 1, 16034, 3084, 62, 1828, 35273, 33411, 366, 2949, 526, 796, 705, 2327, 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 ]
[ 2215, 3439, 318, 262, 1271, 644, 318, 262, 5062, 30, 46506, 366, 2348, 4435, 1, 16034, 3084, 62, 1828, 35273, 33411, 366, 2949, 526, 796, 705, 2327, 6 ]
what's the bleeding time with condition being liver failure, end-stage
SELECT "Bleeding time" FROM table_19063 WHERE "Condition" = 'Liver failure, end-stage'
[ 10919, 338, 262, 16832, 640, 351, 4006, 852, 14383, 5287, 11, 886, 12, 14247, 46506, 366, 43413, 8228, 640, 1, 16034, 3084, 62, 1129, 3312, 18, 33411, 366, 48362, 1, 796, 705, 43, 1428, 5287, 11, 886, 12, 14247, 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 ]
[ 10919, 338, 262, 16832, 640, 351, 4006, 852, 14383, 5287, 11, 886, 12, 14247, 46506, 366, 43413, 8228, 640, 1, 16034, 3084, 62, 1129, 3312, 18, 33411, 366, 48362, 1, 796, 705, 43, 1428, 5287, 11, 886, 12, 14247, 6 ]
What is the average goal difference with 51 goals scored against and less than 17 losses?
SELECT AVG("Goal Difference") FROM table_77573 WHERE "Goals against" = '51' AND "Losses" < '17'
[ 2061, 318, 262, 2811, 3061, 3580, 351, 6885, 4661, 7781, 1028, 290, 1342, 621, 1596, 9089, 30, 46506, 35224, 7203, 49045, 43795, 4943, 16034, 3084, 62, 34483, 4790, 33411, 366, 5247, 874, 1028, 1, 796, 705, 4349, 6, 5357, 366, 43, 793, 274, 1, 1279, 705, 1558, 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 ]
[ 2061, 318, 262, 2811, 3061, 3580, 351, 6885, 4661, 7781, 1028, 290, 1342, 621, 1596, 9089, 30, 46506, 35224, 7203, 49045, 43795, 4943, 16034, 3084, 62, 34483, 4790, 33411, 366, 5247, 874, 1028, 1, 796, 705, 4349, 6, 5357, 366, 43, 793, 274, 1, 1279, 705, 1558, 6 ]
from SFO to DENVER
SELECT DISTINCT flight.flight_id FROM airport, airport_service, city, flight WHERE airport.airport_code = 'SFO' AND city.city_code = airport_service.city_code AND city.city_name = 'DENVER' AND flight.from_airport = airport.airport_code AND flight.to_airport = airport_service.airport_code
[ 6738, 311, 6080, 284, 37692, 28884, 36, 16779, 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, 8189, 796, 705, 50, 6080, 6, 5357, 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, 6738, 62, 958, 634, 796, 9003, 13, 958, 634, 62, 8189, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 6738, 311, 6080, 284, 37692, 28884, 36, 16779, 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, 8189, 796, 705, 50, 6080, 6, 5357, 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, 6738, 62, 958, 634, 796, 9003, 13, 958, 634, 62, 8189, 5357, 5474, 13, 1462, 62, 958, 634, 796, 9003, 62, 15271, 13, 958, 634, 62, 8189 ]
how many of the patients were diagnosed with cellulitis - chest within the same hospital visit after having received a analgesics - neuraxial analgesics procedure.
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'analgesics - neuraxial analgesics') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cellulitis - chest') AS t2 WHERE t1.treatmenttime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
[ 4919, 867, 286, 262, 3871, 547, 14641, 351, 47354, 11815, 532, 7721, 1626, 262, 976, 4436, 3187, 706, 1719, 2722, 257, 48895, 873, 532, 11943, 897, 498, 48895, 873, 8771, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 403, 1557, 538, 312, 8, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 3513, 13, 42487, 2435, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 3513, 32357, 1268, 5827, 6177, 3513, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 3513, 13, 42487, 3672, 796, 705, 272, 282, 3212, 873, 532, 11943, 897, 498, 48895, 873, 11537, 7054, 256, 16, 32357, 1268, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 13669, 13, 47356, 418, 396, 524, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 13669, 32357, 1268, 5827, 6177, 13669, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 13669, 13, 47356, 5958, 3672, 796, 705, 3846, 377, 11815, 532, 7721, 11537, 7054, 256, 17, 33411, 256, 16, 13, 42487, 2435, 1279, 256, 17, 13, 47356, 418, 396, 524, 5357, 256, 16, 13, 26029, 13948, 10057, 31712, 312, 796, 256, 17, 13, 26029, 13948, 10057, 31712, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 286, 262, 3871, 547, 14641, 351, 47354, 11815, 532, 7721, 1626, 262, 976, 4436, 3187, 706, 1719, 2722, 257, 48895, 873, 532, 11943, 897, 498, 48895, 873, 8771, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 403, 1557, 538, 312, 8, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 3513, 13, 42487, 2435, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 3513, 32357, 1268, 5827, 6177, 3513, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 3513, 13, 42487, 3672, 796, 705, 272, 282, 3212, 873, 532, 11943, 897, 498, 48895, 873, 11537, 7054, 256, 16, 32357, 1268, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 13669, 13, 47356, 418, 396, 524, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 13669, 32357, 1268, 5827, 6177, 13669, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 13669, 13, 47356, 5958, 3672, 796, 705, 3846, 377, 11815, 532, 7721, 11537, 7054, 256, 17, 33411, 256, 16, 13, 42487, 2435, 1279, 256, 17, 13, 47356, 418, 396, 524, 5357, 256, 16, 13, 26029, 13948, 10057, 31712, 312, 796, 256, 17, 13, 26029, 13948, 10057, 31712, 312 ]
What Viewers (m) has a Rating of 1.7, and an Episode of the game of life?
SELECT MAX("Viewers (m)") FROM table_61322 WHERE "Rating" = '1.7' AND "Episode" = 'the game of life'
[ 2061, 3582, 364, 357, 76, 8, 468, 257, 12028, 286, 352, 13, 22, 11, 290, 281, 7922, 286, 262, 983, 286, 1204, 30, 46506, 25882, 7203, 7680, 364, 357, 76, 8, 4943, 16034, 3084, 62, 47512, 1828, 33411, 366, 29321, 1, 796, 705, 16, 13, 22, 6, 5357, 366, 23758, 1, 796, 705, 1169, 983, 286, 1204, 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 ]
[ 2061, 3582, 364, 357, 76, 8, 468, 257, 12028, 286, 352, 13, 22, 11, 290, 281, 7922, 286, 262, 983, 286, 1204, 30, 46506, 25882, 7203, 7680, 364, 357, 76, 8, 4943, 16034, 3084, 62, 47512, 1828, 33411, 366, 29321, 1, 796, 705, 16, 13, 22, 6, 5357, 366, 23758, 1, 796, 705, 1169, 983, 286, 1204, 6 ]
For those employees who was hired before 2002-06-21, give me the comparison about the sum of employee_id over the hire_date bin hire_date by weekday by a bar chart, order in desc by the total number.
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(EMPLOYEE_ID) DESC
[ 1890, 883, 4409, 508, 373, 9657, 878, 6244, 12, 3312, 12, 2481, 11, 1577, 502, 262, 7208, 546, 262, 2160, 286, 6538, 62, 312, 625, 262, 11078, 62, 4475, 9874, 11078, 62, 4475, 416, 28269, 416, 257, 2318, 8262, 11, 1502, 287, 1715, 416, 262, 2472, 1271, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 35683, 7, 3620, 6489, 21414, 6500, 62, 2389, 8, 16034, 4409, 33411, 36210, 2200, 62, 35, 6158, 1279, 705, 16942, 12, 3312, 12, 2481, 6, 38678, 11050, 35683, 7, 3620, 6489, 21414, 6500, 62, 2389, 8, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 373, 9657, 878, 6244, 12, 3312, 12, 2481, 11, 1577, 502, 262, 7208, 546, 262, 2160, 286, 6538, 62, 312, 625, 262, 11078, 62, 4475, 9874, 11078, 62, 4475, 416, 28269, 416, 257, 2318, 8262, 11, 1502, 287, 1715, 416, 262, 2472, 1271, 13, 46506, 36210, 2200, 62, 35, 6158, 11, 35683, 7, 3620, 6489, 21414, 6500, 62, 2389, 8, 16034, 4409, 33411, 36210, 2200, 62, 35, 6158, 1279, 705, 16942, 12, 3312, 12, 2481, 6, 38678, 11050, 35683, 7, 3620, 6489, 21414, 6500, 62, 2389, 8, 22196, 34 ]
What's the total power of the unit whose construction finished on 14.06.1963?
SELECT "Total power" FROM table_17900 WHERE "Construction finish" = '14.06.1963'
[ 2061, 338, 262, 2472, 1176, 286, 262, 4326, 3025, 5103, 5201, 319, 1478, 13, 3312, 13, 45192, 30, 46506, 366, 14957, 1176, 1, 16034, 3084, 62, 1558, 12865, 33411, 366, 36687, 5461, 1, 796, 705, 1415, 13, 3312, 13, 45192, 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, 338, 262, 2472, 1176, 286, 262, 4326, 3025, 5103, 5201, 319, 1478, 13, 3312, 13, 45192, 30, 46506, 366, 14957, 1176, 1, 16034, 3084, 62, 1558, 12865, 33411, 366, 36687, 5461, 1, 796, 705, 1415, 13, 3312, 13, 45192, 6 ]
pre _ pregnancy body mass index < 18 kg / m2 ( underweight ) or > 40 kg / m2 ( morbidly obese )
SELECT * FROM table_train_147 WHERE (underweight = 1 OR body_mass_index_bmi < 18) OR (obesity = 1 OR body_mass_index_bmi > 40) AND pregnancy_or_lactation = 1
[ 3866, 4808, 10241, 1767, 2347, 6376, 1279, 1248, 14211, 1220, 285, 17, 357, 739, 6551, 1267, 393, 1875, 2319, 14211, 1220, 285, 17, 357, 34813, 306, 20779, 1267, 46506, 1635, 16034, 3084, 62, 27432, 62, 20198, 33411, 357, 4625, 6551, 796, 352, 6375, 1767, 62, 22208, 62, 9630, 62, 65, 11632, 1279, 1248, 8, 6375, 357, 672, 11924, 796, 352, 6375, 1767, 62, 22208, 62, 9630, 62, 65, 11632, 1875, 2319, 8, 5357, 10241, 62, 273, 62, 75, 529, 341, 796, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 3866, 4808, 10241, 1767, 2347, 6376, 1279, 1248, 14211, 1220, 285, 17, 357, 739, 6551, 1267, 393, 1875, 2319, 14211, 1220, 285, 17, 357, 34813, 306, 20779, 1267, 46506, 1635, 16034, 3084, 62, 27432, 62, 20198, 33411, 357, 4625, 6551, 796, 352, 6375, 1767, 62, 22208, 62, 9630, 62, 65, 11632, 1279, 1248, 8, 6375, 357, 672, 11924, 796, 352, 6375, 1767, 62, 22208, 62, 9630, 62, 65, 11632, 1875, 2319, 8, 5357, 10241, 62, 273, 62, 75, 529, 341, 796, 352 ]
A scatter chart shows the correlation between author_id and gender_mf .
SELECT author_id, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name
[ 32, 41058, 8262, 2523, 262, 16096, 1022, 1772, 62, 312, 290, 5279, 62, 76, 69, 764, 46506, 1772, 62, 312, 11, 5279, 62, 76, 69, 16034, 20537, 62, 30515, 669, 62, 392, 62, 51, 315, 669, 38678, 11050, 2614, 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 ]
[ 32, 41058, 8262, 2523, 262, 16096, 1022, 1772, 62, 312, 290, 5279, 62, 76, 69, 764, 46506, 1772, 62, 312, 11, 5279, 62, 76, 69, 16034, 20537, 62, 30515, 669, 62, 392, 62, 51, 315, 669, 38678, 11050, 2614, 62, 3672 ]
TeX.SX \\ corruption (tabs) with edit link.
SELECT p.Id AS "post_link", 'site://posts/' + CAST(p.Id AS TEXT) + '/edit|' + 'Edit' AS "edit_link", p.CreationDate FROM Posts AS p WHERE ((REPLACE(REPLACE(p.Body, '\\', ''), CHAR(9), 'X') LIKE '%\X%')) ORDER BY p.CreationDate DESC
[ 49568, 13, 50, 55, 26867, 9253, 357, 8658, 82, 8, 351, 4370, 2792, 13, 46506, 279, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 705, 15654, 1378, 24875, 14, 6, 1343, 327, 11262, 7, 79, 13, 7390, 7054, 40383, 8, 1343, 31051, 19312, 91, 6, 1343, 705, 18378, 6, 7054, 366, 19312, 62, 8726, 1600, 279, 13, 12443, 341, 10430, 16034, 12043, 7054, 279, 33411, 14808, 2200, 6489, 11598, 7, 2200, 6489, 11598, 7, 79, 13, 25842, 11, 705, 6852, 3256, 10148, 828, 28521, 7, 24, 828, 705, 55, 11537, 34178, 705, 4, 59, 55, 4, 6, 4008, 38678, 11050, 279, 13, 12443, 341, 10430, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 49568, 13, 50, 55, 26867, 9253, 357, 8658, 82, 8, 351, 4370, 2792, 13, 46506, 279, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 705, 15654, 1378, 24875, 14, 6, 1343, 327, 11262, 7, 79, 13, 7390, 7054, 40383, 8, 1343, 31051, 19312, 91, 6, 1343, 705, 18378, 6, 7054, 366, 19312, 62, 8726, 1600, 279, 13, 12443, 341, 10430, 16034, 12043, 7054, 279, 33411, 14808, 2200, 6489, 11598, 7, 2200, 6489, 11598, 7, 79, 13, 25842, 11, 705, 6852, 3256, 10148, 828, 28521, 7, 24, 828, 705, 55, 11537, 34178, 705, 4, 59, 55, 4, 6, 4008, 38678, 11050, 279, 13, 12443, 341, 10430, 22196, 34 ]
give me the number of patients whose admission year is less than 2173 and lab test name is calculated bicarbonate, whole blood?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2173" AND lab.label = "Calculated Bicarbonate, Whole Blood"
[ 26535, 502, 262, 1271, 286, 3871, 3025, 13938, 614, 318, 1342, 621, 24894, 18, 290, 2248, 1332, 1438, 318, 10488, 275, 291, 42084, 378, 11, 2187, 2910, 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, 324, 76, 414, 451, 1279, 366, 24591, 18, 1, 5357, 2248, 13, 18242, 796, 366, 9771, 49262, 347, 291, 42084, 378, 11, 23431, 7235, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3025, 13938, 614, 318, 1342, 621, 24894, 18, 290, 2248, 1332, 1438, 318, 10488, 275, 291, 42084, 378, 11, 2187, 2910, 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, 324, 76, 414, 451, 1279, 366, 24591, 18, 1, 5357, 2248, 13, 18242, 796, 366, 9771, 49262, 347, 291, 42084, 378, 11, 23431, 7235, 1 ]
how many patients whose age is less than 50 and lab test category is blood gas?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "50" AND lab."CATEGORY" = "Blood Gas"
[ 4919, 867, 3871, 3025, 2479, 318, 1342, 621, 2026, 290, 2248, 1332, 6536, 318, 2910, 3623, 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, 496, 1279, 366, 1120, 1, 5357, 2248, 526, 34, 6158, 38, 15513, 1, 796, 366, 21659, 14345, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3025, 2479, 318, 1342, 621, 2026, 290, 2248, 1332, 6536, 318, 2910, 3623, 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, 496, 1279, 366, 1120, 1, 5357, 2248, 526, 34, 6158, 38, 15513, 1, 796, 366, 21659, 14345, 1 ]
what is the method for round 1 and the opponent is bobby mcmaster?
SELECT "Method" FROM table_48172 WHERE "Round" = '1' AND "Opponent" = 'bobby mcmaster'
[ 10919, 318, 262, 2446, 329, 2835, 352, 290, 262, 6125, 318, 275, 11369, 36650, 9866, 30, 46506, 366, 17410, 1, 16034, 3084, 62, 2780, 23628, 33411, 366, 22685, 1, 796, 705, 16, 6, 5357, 366, 27524, 3471, 1, 796, 705, 65, 11369, 36650, 9866, 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 ]
[ 10919, 318, 262, 2446, 329, 2835, 352, 290, 262, 6125, 318, 275, 11369, 36650, 9866, 30, 46506, 366, 17410, 1, 16034, 3084, 62, 2780, 23628, 33411, 366, 22685, 1, 796, 705, 16, 6, 5357, 366, 27524, 3471, 1, 796, 705, 65, 11369, 36650, 9866, 6 ]
Who did the Jays play on August 30?
SELECT opponent FROM table_name_53 WHERE date = "august 30"
[ 8241, 750, 262, 23288, 711, 319, 2932, 1542, 30, 46506, 6125, 16034, 3084, 62, 3672, 62, 4310, 33411, 3128, 796, 366, 7493, 436, 1542, 1 ]
[ 1, 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, 750, 262, 23288, 711, 319, 2932, 1542, 30, 46506, 6125, 16034, 3084, 62, 3672, 62, 4310, 33411, 3128, 796, 366, 7493, 436, 1542, 1 ]
What township is 34.781 square miles?
SELECT township FROM table_18600760_18 WHERE land___sqmi__ = "34.781"
[ 2061, 42823, 318, 4974, 13, 49703, 6616, 4608, 30, 46506, 42823, 16034, 3084, 62, 1507, 8054, 40761, 62, 1507, 33411, 1956, 17569, 31166, 11632, 834, 796, 366, 2682, 13, 49703, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 42823, 318, 4974, 13, 49703, 6616, 4608, 30, 46506, 42823, 16034, 3084, 62, 1507, 8054, 40761, 62, 1507, 33411, 1956, 17569, 31166, 11632, 834, 796, 366, 2682, 13, 49703, 1 ]
Name the most numbers dam and gnis query link for borough or census area for fairbanks north star
SELECT MAX("# s Dam and GNIS query Link") FROM table_73050 WHERE "Borough or Census area" = 'Fairbanks North Star'
[ 5376, 262, 749, 3146, 1801, 290, 19967, 271, 12405, 2792, 329, 33534, 393, 21649, 1989, 329, 3148, 43558, 5093, 3491, 46506, 25882, 7203, 2, 264, 5245, 290, 15484, 1797, 12405, 7502, 4943, 16034, 3084, 62, 43916, 1120, 33411, 366, 33, 7985, 393, 20962, 1989, 1, 796, 705, 30099, 43558, 2258, 2907, 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 ]
[ 5376, 262, 749, 3146, 1801, 290, 19967, 271, 12405, 2792, 329, 33534, 393, 21649, 1989, 329, 3148, 43558, 5093, 3491, 46506, 25882, 7203, 2, 264, 5245, 290, 15484, 1797, 12405, 7502, 4943, 16034, 3084, 62, 43916, 1120, 33411, 366, 33, 7985, 393, 20962, 1989, 1, 796, 705, 30099, 43558, 2258, 2907, 6 ]
what is the minimum force of storm Adrian
SELECT min_press___mbar__ FROM table_name_15 WHERE storm_name = "adrian"
[ 10919, 318, 262, 5288, 2700, 286, 6388, 21462, 46506, 949, 62, 8439, 17569, 2022, 283, 834, 16034, 3084, 62, 3672, 62, 1314, 33411, 6388, 62, 3672, 796, 366, 324, 4484, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 5288, 2700, 286, 6388, 21462, 46506, 949, 62, 8439, 17569, 2022, 283, 834, 16034, 3084, 62, 3672, 62, 1314, 33411, 6388, 62, 3672, 796, 366, 324, 4484, 1 ]
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of job_id and the sum of salary , and group by attribute job_id in a bar chart.
SELECT JOB_ID, SUM(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID
[ 1890, 883, 4409, 3025, 9588, 318, 287, 262, 2837, 286, 38055, 290, 1105, 830, 290, 5810, 318, 407, 9242, 393, 5011, 1271, 857, 407, 4961, 284, 2319, 11, 905, 502, 546, 262, 6082, 286, 1693, 62, 312, 290, 262, 2160, 286, 9588, 837, 290, 1448, 416, 11688, 1693, 62, 312, 287, 257, 2318, 8262, 13, 46506, 449, 9864, 62, 2389, 11, 35683, 7, 50, 1847, 13153, 8, 16034, 4409, 33411, 42475, 13153, 38651, 8845, 1677, 38055, 5357, 1105, 830, 5357, 22240, 40373, 62, 47, 4177, 1279, 29, 366, 8423, 1, 6375, 5550, 30709, 10979, 62, 2389, 1279, 29, 2319, 44441, 11050, 449, 9864, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3025, 9588, 318, 287, 262, 2837, 286, 38055, 290, 1105, 830, 290, 5810, 318, 407, 9242, 393, 5011, 1271, 857, 407, 4961, 284, 2319, 11, 905, 502, 546, 262, 6082, 286, 1693, 62, 312, 290, 262, 2160, 286, 9588, 837, 290, 1448, 416, 11688, 1693, 62, 312, 287, 257, 2318, 8262, 13, 46506, 449, 9864, 62, 2389, 11, 35683, 7, 50, 1847, 13153, 8, 16034, 4409, 33411, 42475, 13153, 38651, 8845, 1677, 38055, 5357, 1105, 830, 5357, 22240, 40373, 62, 47, 4177, 1279, 29, 366, 8423, 1, 6375, 5550, 30709, 10979, 62, 2389, 1279, 29, 2319, 44441, 11050, 449, 9864, 62, 2389 ]