instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
list
attention_mask
list
labels
list
Which captain has Gintare Karpaviciute as an alternate?
SELECT "Captain" FROM table_47872 WHERE "Alternate (1)" = 'gintare karpaviciute'
[ 13828, 10654, 468, 402, 600, 533, 509, 5117, 615, 44070, 1133, 355, 281, 13527, 30, 46506, 366, 27898, 1, 16034, 3084, 62, 29059, 4761, 33411, 366, 23081, 378, 357, 16, 16725, 796, 705, 70, 600, 533, 479, 5117, 615, 44070, 1133, 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 ]
[ 13828, 10654, 468, 402, 600, 533, 509, 5117, 615, 44070, 1133, 355, 281, 13527, 30, 46506, 366, 27898, 1, 16034, 3084, 62, 29059, 4761, 33411, 366, 23081, 378, 357, 16, 16725, 796, 705, 70, 600, 533, 479, 5117, 615, 44070, 1133, 6 ]
Which Wrestler has an Elimination of 5?
SELECT wrestler FROM table_name_63 WHERE elimination = "5"
[ 13828, 20722, 1754, 468, 281, 27405, 1883, 286, 642, 30, 46506, 34845, 16034, 3084, 62, 3672, 62, 5066, 33411, 21472, 796, 366, 20, 1 ]
[ 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, 20722, 1754, 468, 281, 27405, 1883, 286, 642, 30, 46506, 34845, 16034, 3084, 62, 3672, 62, 5066, 33411, 21472, 796, 366, 20, 1 ]
tell me the last output of patient 28253 until 773 days ago?
SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28253)) AND DATETIME(outputevents.charttime) <= DATETIME(CURRENT_TIME(), '-773 day') ORDER BY outputevents.charttime DESC LIMIT 1)
[ 33331, 502, 262, 938, 5072, 286, 5827, 2579, 28592, 1566, 767, 4790, 1528, 2084, 30, 46506, 288, 62, 23814, 13, 18242, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 9186, 312, 3268, 357, 46506, 38701, 1133, 85, 658, 13, 9186, 312, 16034, 38701, 1133, 85, 658, 33411, 38701, 1133, 85, 658, 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 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33331, 502, 262, 938, 5072, 286, 5827, 2579, 28592, 1566, 767, 4790, 1528, 2084, 30, 46506, 288, 62, 23814, 13, 18242, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 9186, 312, 3268, 357, 46506, 38701, 1133, 85, 658, 13, 9186, 312, 16034, 38701, 1133, 85, 658, 33411, 38701, 1133, 85, 658, 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 ]
Find the emails of customers who has filed a complaints of the product with the most complaints.
SELECT t1.email_address FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_id ORDER BY COUNT(*) LIMIT 1
[ 16742, 262, 7237, 286, 4297, 508, 468, 5717, 257, 9687, 286, 262, 1720, 351, 262, 749, 9687, 13, 46506, 256, 16, 13, 12888, 62, 21975, 16034, 4297, 7054, 256, 16, 32357, 1268, 9687, 7054, 256, 17, 6177, 256, 16, 13, 23144, 263, 62, 312, 796, 256, 17, 13, 23144, 263, 62, 312, 44441, 11050, 256, 16, 13, 23144, 263, 62, 312, 38678, 11050, 327, 28270, 7, 28104, 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 ]
[ 16742, 262, 7237, 286, 4297, 508, 468, 5717, 257, 9687, 286, 262, 1720, 351, 262, 749, 9687, 13, 46506, 256, 16, 13, 12888, 62, 21975, 16034, 4297, 7054, 256, 16, 32357, 1268, 9687, 7054, 256, 17, 6177, 256, 16, 13, 23144, 263, 62, 312, 796, 256, 17, 13, 23144, 263, 62, 312, 44441, 11050, 256, 16, 13, 23144, 263, 62, 312, 38678, 11050, 327, 28270, 7, 28104, 27564, 2043, 352 ]
How many captains are in each rank, and I want to show from low to high by the y axis.
SELECT Rank, COUNT(*) FROM captain GROUP BY Rank ORDER BY COUNT(*)
[ 2437, 867, 37551, 389, 287, 1123, 4279, 11, 290, 314, 765, 284, 905, 422, 1877, 284, 1029, 416, 262, 331, 16488, 13, 46506, 10916, 11, 327, 28270, 7, 28104, 16034, 10654, 44441, 11050, 10916, 38678, 11050, 327, 28270, 7, 28104 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 37551, 389, 287, 1123, 4279, 11, 290, 314, 765, 284, 905, 422, 1877, 284, 1029, 416, 262, 331, 16488, 13, 46506, 10916, 11, 327, 28270, 7, 28104, 16034, 10654, 44441, 11050, 10916, 38678, 11050, 327, 28270, 7, 28104 ]
What is the number of rank of peak fresvikbreen?
SELECT COUNT("Rank") FROM table_17588 WHERE "Peak" = 'Fresvikbreen'
[ 2061, 318, 262, 1271, 286, 4279, 286, 9103, 34093, 28930, 65, 1361, 30, 46506, 327, 28270, 7203, 27520, 4943, 16034, 3084, 62, 1558, 39118, 33411, 366, 6435, 461, 1, 796, 705, 37, 411, 28930, 65, 1361, 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 ]
[ 2061, 318, 262, 1271, 286, 4279, 286, 9103, 34093, 28930, 65, 1361, 30, 46506, 327, 28270, 7203, 27520, 4943, 16034, 3084, 62, 1558, 39118, 33411, 366, 6435, 461, 1, 796, 705, 37, 411, 28930, 65, 1361, 6 ]
How many wins did they have at Richmond Cricket Ground Stadium?
SELECT "Wins" FROM table_68654 WHERE "Stadium" = 'richmond cricket ground'
[ 2437, 867, 7864, 750, 484, 423, 379, 16940, 34761, 13706, 10499, 30, 46506, 366, 54, 1040, 1, 16034, 3084, 62, 3104, 39111, 33411, 366, 1273, 6271, 1, 796, 705, 7527, 6327, 18836, 2323, 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 ]
[ 2437, 867, 7864, 750, 484, 423, 379, 16940, 34761, 13706, 10499, 30, 46506, 366, 54, 1040, 1, 16034, 3084, 62, 3104, 39111, 33411, 366, 1273, 6271, 1, 796, 705, 7527, 6327, 18836, 2323, 6 ]
A bar chart for finding the number of the names of catalog entries with level number 8.
SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name
[ 32, 2318, 8262, 329, 4917, 262, 1271, 286, 262, 3891, 286, 18388, 12784, 351, 1241, 1271, 807, 13, 46506, 18388, 62, 13000, 62, 3672, 11, 327, 28270, 7, 9246, 11794, 62, 13000, 62, 3672, 8, 16034, 44515, 62, 15842, 7054, 256, 16, 32357, 1268, 44515, 62, 15842, 62, 17699, 62, 29021, 7054, 256, 17, 6177, 256, 16, 13, 9246, 11794, 62, 13000, 62, 312, 796, 256, 17, 13, 9246, 11794, 62, 13000, 62, 312, 33411, 256, 17, 13, 9246, 11794, 62, 5715, 62, 17618, 796, 366, 23, 1, 44441, 11050, 18388, 62, 13000, 62, 3672 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2318, 8262, 329, 4917, 262, 1271, 286, 262, 3891, 286, 18388, 12784, 351, 1241, 1271, 807, 13, 46506, 18388, 62, 13000, 62, 3672, 11, 327, 28270, 7, 9246, 11794, 62, 13000, 62, 3672, 8, 16034, 44515, 62, 15842, 7054, 256, 16, 32357, 1268, 44515, 62, 15842, 62, 17699, 62, 29021, 7054, 256, 17, 6177, 256, 16, 13, 9246, 11794, 62, 13000, 62, 312, 796, 256, 17, 13, 9246, 11794, 62, 13000, 62, 312, 33411, 256, 17, 13, 9246, 11794, 62, 5715, 62, 17618, 796, 366, 23, 1, 44441, 11050, 18388, 62, 13000, 62, 3672 ]
what was patient 51577's first time of the removal fb/dev from skin procedure until 2 years ago?
SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'removal fb/dev from skin') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 51577) AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year') ORDER BY procedures_icd.charttime LIMIT 1
[ 10919, 373, 5827, 642, 1314, 3324, 338, 717, 640, 286, 262, 9934, 277, 65, 14, 7959, 422, 4168, 8771, 1566, 362, 812, 2084, 30, 46506, 9021, 62, 291, 67, 13, 40926, 2435, 16034, 9021, 62, 291, 67, 33411, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 796, 705, 2787, 8325, 277, 65, 14, 7959, 422, 4168, 11537, 5357, 9021 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 5827, 642, 1314, 3324, 338, 717, 640, 286, 262, 9934, 277, 65, 14, 7959, 422, 4168, 8771, 1566, 362, 812, 2084, 30, 46506, 9021, 62, 291, 67, 13, 40926, 2435, 16034, 9021, 62, 291, 67, 33411, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 796, 705, 2787, 8325, 277, 65, 14, 7959, 422, 4168, 11537, 5357, 9021 ]
count the number of patients whose procedure icd9 code is 3606.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "3606"
[ 9127, 262, 1271, 286, 3871, 3025, 8771, 14158, 67, 24, 2438, 318, 11470, 21, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 15277, 21, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9127, 262, 1271, 286, 3871, 3025, 8771, 14158, 67, 24, 2438, 318, 11470, 21, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 15277, 21, 1 ]
Display a bar chart for how many faculty members participate in each activity? Return the activity names and the number of faculty members, and display from high to low by the x-axis.
SELECT activity_name, COUNT(*) FROM Activity AS T1 JOIN Faculty_Participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid ORDER BY activity_name DESC
[ 23114, 257, 2318, 8262, 329, 703, 867, 12829, 1866, 8277, 287, 1123, 3842, 30, 8229, 262, 3842, 3891, 290, 262, 1271, 286, 12829, 1866, 11, 290, 3359, 422, 1029, 284, 1877, 416, 262, 2124, 12, 22704, 13, 46506, 3842, 62, 3672, 11, 327, 28270, 7, 28104, 16034, 24641, 7054, 309, 16, 32357, 1268, 35262, 62, 34363, 689, 62, 259, 7054, 309, 17, 6177, 309, 16, 13, 529, 312, 796, 309, 17, 13, 529, 312, 44441, 11050, 309, 16, 13, 529, 312, 38678, 11050, 3842, 62, 3672, 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 ]
[ 23114, 257, 2318, 8262, 329, 703, 867, 12829, 1866, 8277, 287, 1123, 3842, 30, 8229, 262, 3842, 3891, 290, 262, 1271, 286, 12829, 1866, 11, 290, 3359, 422, 1029, 284, 1877, 416, 262, 2124, 12, 22704, 13, 46506, 3842, 62, 3672, 11, 327, 28270, 7, 28104, 16034, 24641, 7054, 309, 16, 32357, 1268, 35262, 62, 34363, 689, 62, 259, 7054, 309, 17, 6177, 309, 16, 13, 529, 312, 796, 309, 17, 13, 529, 312, 44441, 11050, 309, 16, 13, 529, 312, 38678, 11050, 3842, 62, 3672, 22196, 34 ]
Who has a round of 3 with a method of decision?
SELECT opponent FROM table_name_68 WHERE round = "3" AND method = "decision"
[ 8241, 468, 257, 2835, 286, 513, 351, 257, 2446, 286, 2551, 30, 46506, 6125, 16034, 3084, 62, 3672, 62, 3104, 33411, 2835, 796, 366, 18, 1, 5357, 2446, 796, 366, 12501, 1166, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 468, 257, 2835, 286, 513, 351, 257, 2446, 286, 2551, 30, 46506, 6125, 16034, 3084, 62, 3672, 62, 3104, 33411, 2835, 796, 366, 18, 1, 5357, 2446, 796, 366, 12501, 1166, 1 ]
How many students are not involved in any behavior incident?
SELECT COUNT(*) FROM STUDENTS WHERE NOT student_id IN (SELECT student_id FROM Behavior_Incident)
[ 2437, 867, 2444, 389, 407, 2950, 287, 597, 4069, 4519, 30, 46506, 327, 28270, 7, 28104, 16034, 49348, 15365, 33411, 5626, 3710, 62, 312, 3268, 357, 46506, 3710, 62, 312, 16034, 20181, 62, 25517, 738, 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 ]
[ 2437, 867, 2444, 389, 407, 2950, 287, 597, 4069, 4519, 30, 46506, 327, 28270, 7, 28104, 16034, 49348, 15365, 33411, 5626, 3710, 62, 312, 3268, 357, 46506, 3710, 62, 312, 16034, 20181, 62, 25517, 738, 8 ]
Search open bounties by tags..
SELECT vob.BountyAmount AS "bounty", LEFT(DATEADD(d, 7, vob.CreationDate), 6) AS "until", p.Id AS "post_link", p.Tags FROM Posts AS p LEFT JOIN Votes AS vob ON vob.PostId = p.Id AND vob.VoteTypeId = 8 LEFT JOIN PostTags AS pt ON p.Id = pt.PostId LEFT JOIN Tags AS t ON pt.TagId = t.Id WHERE p.ClosedDate IS NULL AND NOT EXISTS(SELECT * FROM Votes AS vcb WHERE vcb.PostId = p.Id AND vcb.VoteTypeId = 9) AND DATEADD(d, 7, vob.CreationDate) >= GETDATE() AND CONCAT(@text, ' ') LIKE CONCAT('%', t.TagName COLLATE DATABASE_DEFAULT, ' %') ORDER BY vob.CreationDate
[ 18243, 1280, 49937, 444, 416, 15940, 492, 46506, 410, 672, 13, 33, 17705, 31264, 7054, 366, 65, 17705, 1600, 12509, 9792, 7, 35, 6158, 29266, 7, 67, 11, 767, 11, 410, 672, 13, 12443, 341, 10430, 828, 718, 8, 7054, 366, 28446, 1600, 279, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 279, 13, 36142, 16034, 12043, 7054, 279, 12509, 9792, 32357, 1268, 39584, 7054, 410, 672, 6177, 410, 672, 13, 6307, 7390, 796, 279, 13, 7390, 5357, 410, 672, 13, 37394, 6030, 7390, 796, 807, 12509, 9792, 32357, 1268, 2947, 36142, 7054, 42975, 6177, 279, 13, 7390, 796, 42975 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 18243, 1280, 49937, 444, 416, 15940, 492, 46506, 410, 672, 13, 33, 17705, 31264, 7054, 366, 65, 17705, 1600, 12509, 9792, 7, 35, 6158, 29266, 7, 67, 11, 767, 11, 410, 672, 13, 12443, 341, 10430, 828, 718, 8, 7054, 366, 28446, 1600, 279, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 279, 13, 36142, 16034, 12043, 7054, 279, 12509, 9792, 32357, 1268, 39584, 7054, 410, 672, 6177, 410, 672, 13, 6307, 7390, 796, 279, 13, 7390, 5357, 410, 672, 13, 37394, 6030, 7390, 796, 807, 12509, 9792, 32357, 1268, 2947, 36142, 7054, 42975, 6177, 279, 13, 7390, 796, 42975 ]
What kansas vs. that has w 2 as the current streak, and 31 as games played?
SELECT "Kansas State vs." FROM table_7616 WHERE "Current Streak" = 'w 2' AND "Games played" = '31'
[ 2061, 479, 6618, 3691, 13, 326, 468, 266, 362, 355, 262, 1459, 15113, 11, 290, 3261, 355, 1830, 2826, 30, 46506, 366, 43451, 1812, 3691, 526, 16034, 3084, 62, 4304, 1433, 33411, 366, 11297, 9737, 461, 1, 796, 705, 86, 362, 6, 5357, 366, 24474, 2826, 1, 796, 705, 3132, 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 ]
[ 2061, 479, 6618, 3691, 13, 326, 468, 266, 362, 355, 262, 1459, 15113, 11, 290, 3261, 355, 1830, 2826, 30, 46506, 366, 43451, 1812, 3691, 526, 16034, 3084, 62, 4304, 1433, 33411, 366, 11297, 9737, 461, 1, 796, 705, 86, 362, 6, 5357, 366, 24474, 2826, 1, 796, 705, 3132, 6 ]
On July 31, 2008, what are the Democrat: Vivian Davis Figures percentages?
SELECT "Democrat: Vivian Davis Figures" FROM table_21043 WHERE "Dates administered" = 'July 31, 2008'
[ 2202, 2901, 3261, 11, 3648, 11, 644, 389, 262, 9755, 25, 25313, 666, 7802, 36574, 28071, 30, 46506, 366, 11522, 35128, 25, 25313, 666, 7802, 36574, 1, 16034, 3084, 62, 21536, 3559, 33411, 366, 35, 689, 17169, 1, 796, 705, 16157, 3261, 11, 3648, 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 ]
[ 2202, 2901, 3261, 11, 3648, 11, 644, 389, 262, 9755, 25, 25313, 666, 7802, 36574, 28071, 30, 46506, 366, 11522, 35128, 25, 25313, 666, 7802, 36574, 1, 16034, 3084, 62, 21536, 3559, 33411, 366, 35, 689, 17169, 1, 796, 705, 16157, 3261, 11, 3648, 6 ]
What was being played on Nov 23, 2006?
SELECT competition FROM table_name_79 WHERE date = "nov 23, 2006"
[ 2061, 373, 852, 2826, 319, 5267, 2242, 11, 4793, 30, 46506, 5449, 16034, 3084, 62, 3672, 62, 3720, 33411, 3128, 796, 366, 37302, 2242, 11, 4793, 1 ]
[ 1, 1, 1, 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, 852, 2826, 319, 5267, 2242, 11, 4793, 30, 46506, 5449, 16034, 3084, 62, 3672, 62, 3720, 33411, 3128, 796, 366, 37302, 2242, 11, 4793, 1 ]
What is the density (hab/ km ) when the extension km is 380,64?
SELECT density__hab__km²__ FROM table_name_22 WHERE extension_km² = "380,64"
[ 2061, 318, 262, 12109, 357, 5976, 14, 10571, 1267, 618, 262, 7552, 10571, 318, 29101, 11, 2414, 30, 46506, 12109, 834, 5976, 834, 13276, 31185, 834, 16034, 3084, 62, 3672, 62, 1828, 33411, 7552, 62, 13276, 31185, 796, 366, 23734, 11, 2414, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 12109, 357, 5976, 14, 10571, 1267, 618, 262, 7552, 10571, 318, 29101, 11, 2414, 30, 46506, 12109, 834, 5976, 834, 13276, 31185, 834, 16034, 3084, 62, 3672, 62, 1828, 33411, 7552, 62, 13276, 31185, 796, 366, 23734, 11, 2414, 1 ]
what is the name of the medicine that was prescribed to patient 30460 for the first time through the ou route?
SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30460) AND prescriptions.route = 'ou' ORDER BY prescriptions.startdate LIMIT 1
[ 10919, 318, 262, 1438, 286, 262, 9007, 326, 373, 14798, 284, 5827, 31672, 1899, 329, 262, 717, 640, 832, 262, 267, 84, 6339, 30, 46506, 34092, 13, 30349, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 31672, 1899, 8, 5357, 34092, 13, 38629, 796, 705, 280, 6, 38678, 11050, 34092, 13, 9688, 4475, 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 ]
[ 10919, 318, 262, 1438, 286, 262, 9007, 326, 373, 14798, 284, 5827, 31672, 1899, 329, 262, 717, 640, 832, 262, 267, 84, 6339, 30, 46506, 34092, 13, 30349, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 31672, 1899, 8, 5357, 34092, 13, 38629, 796, 705, 280, 6, 38678, 11050, 34092, 13, 9688, 4475, 27564, 2043, 352 ]
How long was the instrumental version in 1986?
SELECT "Length" FROM table_34910 WHERE "Year" = '1986' AND "Version" = 'instrumental'
[ 2437, 890, 373, 262, 21543, 2196, 287, 12113, 30, 46506, 366, 24539, 1, 16034, 3084, 62, 27371, 940, 33411, 366, 17688, 1, 796, 705, 28054, 6, 5357, 366, 14815, 1, 796, 705, 259, 43872, 282, 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 ]
[ 2437, 890, 373, 262, 21543, 2196, 287, 12113, 30, 46506, 366, 24539, 1, 16034, 3084, 62, 27371, 940, 33411, 366, 17688, 1, 796, 705, 28054, 6, 5357, 366, 14815, 1, 796, 705, 259, 43872, 282, 6 ]
How many wins does Greg Norman have?
SELECT SUM(wins) FROM table_name_15 WHERE player = "greg norman"
[ 2437, 867, 7864, 857, 8547, 19636, 423, 30, 46506, 35683, 7, 86, 1040, 8, 16034, 3084, 62, 3672, 62, 1314, 33411, 2137, 796, 366, 9903, 2593, 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 ]
[ 2437, 867, 7864, 857, 8547, 19636, 423, 30, 46506, 35683, 7, 86, 1040, 8, 16034, 3084, 62, 3672, 62, 1314, 33411, 2137, 796, 366, 9903, 2593, 272, 1 ]
how many patients are admitted in location transfer from hosp/extram and procedured with endoscopic excision or destruction of lesion or tissue of esophagus?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.long_title = "Endoscopic excision or destruction of lesion or tissue of esophagus"
[ 4919, 867, 3871, 389, 6848, 287, 4067, 4351, 422, 10496, 14, 2302, 859, 290, 5131, 1522, 351, 886, 48228, 2859, 1166, 393, 8166, 286, 10287, 295, 393, 10712, 286, 1658, 2522, 31111, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 24886, 796, 366, 5446, 15037, 24302, 16034, 367, 47053, 14, 6369, 5446, 2390, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 12915, 48228, 2859, 1166 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 389, 6848, 287, 4067, 4351, 422, 10496, 14, 2302, 859, 290, 5131, 1522, 351, 886, 48228, 2859, 1166, 393, 8166, 286, 10287, 295, 393, 10712, 286, 1658, 2522, 31111, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 24886, 796, 366, 5446, 15037, 24302, 16034, 367, 47053, 14, 6369, 5446, 2390, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 12915, 48228, 2859, 1166 ]
What album had a peak position of 6 and a certification of 3x platinum?
SELECT "Album" FROM table_65983 WHERE "Certification" = '3x platinum' AND "Peak position" = '6'
[ 2061, 5062, 550, 257, 9103, 2292, 286, 718, 290, 257, 18094, 286, 513, 87, 36516, 30, 46506, 366, 2348, 4435, 1, 16034, 3084, 62, 2996, 4089, 18, 33411, 366, 37608, 2649, 1, 796, 705, 18, 87, 36516, 6, 5357, 366, 6435, 461, 2292, 1, 796, 705, 21, 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, 5062, 550, 257, 9103, 2292, 286, 718, 290, 257, 18094, 286, 513, 87, 36516, 30, 46506, 366, 2348, 4435, 1, 16034, 3084, 62, 2996, 4089, 18, 33411, 366, 37608, 2649, 1, 796, 705, 18, 87, 36516, 6, 5357, 366, 6435, 461, 2292, 1, 796, 705, 21, 6 ]
What's the to par of the United States with the score of 71-71=142?
SELECT to_par FROM table_name_1 WHERE country = "united states" AND score = 71 - 71 = 142
[ 2061, 338, 262, 284, 1582, 286, 262, 1578, 1829, 351, 262, 4776, 286, 9166, 12, 4869, 28, 23726, 30, 46506, 284, 62, 1845, 16034, 3084, 62, 3672, 62, 16, 33411, 1499, 796, 366, 41187, 2585, 1, 5357, 4776, 796, 9166, 532, 9166, 796, 25181 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 284, 1582, 286, 262, 1578, 1829, 351, 262, 4776, 286, 9166, 12, 4869, 28, 23726, 30, 46506, 284, 62, 1845, 16034, 3084, 62, 3672, 62, 16, 33411, 1499, 796, 366, 41187, 2585, 1, 5357, 4776, 796, 9166, 532, 9166, 796, 25181 ]
What is their position when the b score is more than 8.975 for Ekaterina Kramarenko ( rus )?
SELECT position FROM table_name_57 WHERE b_score > 8.975 AND gymnast = "ekaterina kramarenko ( rus )"
[ 2061, 318, 511, 2292, 618, 262, 275, 4776, 318, 517, 621, 807, 13, 42716, 329, 31873, 729, 1437, 509, 859, 5757, 7204, 357, 374, 385, 1267, 30, 46506, 2292, 16034, 3084, 62, 3672, 62, 3553, 33411, 275, 62, 26675, 1875, 807, 13, 42716, 5357, 38581, 459, 796, 366, 988, 729, 1437, 479, 859, 5757, 7204, 357, 374, 385, 1267, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 511, 2292, 618, 262, 275, 4776, 318, 517, 621, 807, 13, 42716, 329, 31873, 729, 1437, 509, 859, 5757, 7204, 357, 374, 385, 1267, 30, 46506, 2292, 16034, 3084, 62, 3672, 62, 3553, 33411, 275, 62, 26675, 1875, 807, 13, 42716, 5357, 38581, 459, 796, 366, 988, 729, 1437, 479, 859, 5757, 7204, 357, 374, 385, 1267, 1 ]
How many mills of 'Grondzeiler' type are built in each year? Give me the trend, rank from low to high by the x-axis.
SELECT built_year, COUNT(built_year) FROM mill WHERE type = 'Grondzeiler' ORDER BY built_year
[ 2437, 867, 41999, 286, 705, 8642, 623, 2736, 5329, 6, 2099, 389, 3170, 287, 1123, 614, 30, 13786, 502, 262, 5182, 11, 4279, 422, 1877, 284, 1029, 416, 262, 2124, 12, 22704, 13, 46506, 3170, 62, 1941, 11, 327, 28270, 7, 18780, 62, 1941, 8, 16034, 3939, 33411, 2099, 796, 705, 8642, 623, 2736, 5329, 6, 38678, 11050, 3170, 62, 1941 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 41999, 286, 705, 8642, 623, 2736, 5329, 6, 2099, 389, 3170, 287, 1123, 614, 30, 13786, 502, 262, 5182, 11, 4279, 422, 1877, 284, 1029, 416, 262, 2124, 12, 22704, 13, 46506, 3170, 62, 1941, 11, 327, 28270, 7, 18780, 62, 1941, 8, 16034, 3939, 33411, 2099, 796, 705, 8642, 623, 2736, 5329, 6, 38678, 11050, 3170, 62, 1941 ]
What counties represented have a democratic committee, and a committee of ways and means?
SELECT counties_represented FROM table_name_17 WHERE party = "democratic" AND committee = "ways and means"
[ 2061, 14683, 7997, 423, 257, 10518, 5583, 11, 290, 257, 5583, 286, 2842, 290, 1724, 30, 46506, 14683, 62, 33469, 16034, 3084, 62, 3672, 62, 1558, 33411, 2151, 796, 366, 41232, 1, 5357, 5583, 796, 366, 1322, 290, 1724, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14683, 7997, 423, 257, 10518, 5583, 11, 290, 257, 5583, 286, 2842, 290, 1724, 30, 46506, 14683, 62, 33469, 16034, 3084, 62, 3672, 62, 1558, 33411, 2151, 796, 366, 41232, 1, 5357, 5583, 796, 366, 1322, 290, 1724, 1 ]
A bar chart for what are the number of the last names for all scholarship students?, rank y-axis in asc order please.
SELECT LName, COUNT(LName) FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.OnScholarship = 'Y' GROUP BY LName ORDER BY COUNT(LName)
[ 32, 2318, 8262, 329, 644, 389, 262, 1271, 286, 262, 938, 3891, 329, 477, 18652, 2444, 21747, 4279, 331, 12, 22704, 287, 10570, 1502, 3387, 13, 46506, 406, 5376, 11, 327, 28270, 7, 43, 5376, 8, 16034, 7092, 12360, 7054, 309, 16, 32357, 1268, 13613, 7054, 309, 17, 6177, 309, 16, 13, 1273, 84, 2389, 796, 309, 17, 13, 1273, 84, 2389, 33411, 309, 16, 13, 2202, 14874, 7828, 1056, 796, 705, 56, 6, 44441, 11050, 406, 5376, 38678, 11050, 327, 28270, 7, 43, 5376, 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 ]
[ 32, 2318, 8262, 329, 644, 389, 262, 1271, 286, 262, 938, 3891, 329, 477, 18652, 2444, 21747, 4279, 331, 12, 22704, 287, 10570, 1502, 3387, 13, 46506, 406, 5376, 11, 327, 28270, 7, 43, 5376, 8, 16034, 7092, 12360, 7054, 309, 16, 32357, 1268, 13613, 7054, 309, 17, 6177, 309, 16, 13, 1273, 84, 2389, 796, 309, 17, 13, 1273, 84, 2389, 33411, 309, 16, 13, 2202, 14874, 7828, 1056, 796, 705, 56, 6, 44441, 11050, 406, 5376, 38678, 11050, 327, 28270, 7, 43, 5376, 8 ]
which airline is KW
SELECT DISTINCT airline_code FROM airline WHERE airline_code = 'KW'
[ 4758, 18091, 318, 509, 54, 46506, 360, 8808, 1268, 4177, 18091, 62, 8189, 16034, 18091, 33411, 18091, 62, 8189, 796, 705, 42, 54, 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 ]
[ 4758, 18091, 318, 509, 54, 46506, 360, 8808, 1268, 4177, 18091, 62, 8189, 16034, 18091, 33411, 18091, 62, 8189, 796, 705, 42, 54, 6 ]
how many patients whose admission type is elective and procedure icd9 code is 3606?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "3606"
[ 4919, 867, 3871, 3025, 13938, 2099, 318, 1742, 425, 290, 8771, 14158, 67, 24, 2438, 318, 11470, 21, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 36, 16779, 9306, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 15277, 21, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13938, 2099, 318, 1742, 425, 290, 8771, 14158, 67, 24, 2438, 318, 11470, 21, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 4906, 796, 366, 36, 16779, 9306, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 15277, 21, 1 ]
What is the poor law union when the townland is bohonagh?
SELECT "Poor law union" FROM table_31514 WHERE "Townland" = 'Bohonagh'
[ 2061, 318, 262, 3595, 1099, 6441, 618, 262, 3240, 1044, 318, 275, 1219, 261, 10471, 30, 46506, 366, 43920, 1099, 6441, 1, 16034, 3084, 62, 27936, 1415, 33411, 366, 38097, 1044, 1, 796, 705, 33, 1219, 261, 10471, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 3595, 1099, 6441, 618, 262, 3240, 1044, 318, 275, 1219, 261, 10471, 30, 46506, 366, 43920, 1099, 6441, 1, 16034, 3084, 62, 27936, 1415, 33411, 366, 38097, 1044, 1, 796, 705, 33, 1219, 261, 10471, 6 ]
When Kubb is in 9th, who is in 10th?
SELECT "Tenth" FROM table_72844 WHERE "Ninth" = 'Kubb'
[ 2215, 24921, 65, 318, 287, 860, 400, 11, 508, 318, 287, 838, 400, 30, 46506, 366, 51, 7944, 1, 16034, 3084, 62, 48524, 2598, 33411, 366, 45, 9304, 1, 796, 705, 42, 33670, 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 ]
[ 2215, 24921, 65, 318, 287, 860, 400, 11, 508, 318, 287, 838, 400, 30, 46506, 366, 51, 7944, 1, 16034, 3084, 62, 48524, 2598, 33411, 366, 45, 9304, 1, 796, 705, 42, 33670, 6 ]
What is Brendan Locke's College/Junior/Club Team (League)?
SELECT college_junior_club_team__league_ FROM table_name_11 WHERE player = "brendan locke"
[ 2061, 318, 26134, 34576, 338, 5535, 14, 22396, 1504, 14, 42350, 4816, 357, 24623, 19427, 46506, 4152, 62, 29741, 1504, 62, 18664, 62, 15097, 834, 19316, 62, 16034, 3084, 62, 3672, 62, 1157, 33411, 2137, 796, 366, 4679, 358, 272, 1179, 365, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 26134, 34576, 338, 5535, 14, 22396, 1504, 14, 42350, 4816, 357, 24623, 19427, 46506, 4152, 62, 29741, 1504, 62, 18664, 62, 15097, 834, 19316, 62, 16034, 3084, 62, 3672, 62, 1157, 33411, 2137, 796, 366, 4679, 358, 272, 1179, 365, 1 ]
How many opponents were played on Saturday, June 9?
SELECT COUNT("Opponent") FROM table_16097 WHERE "Date" = 'Saturday, June 9'
[ 2437, 867, 7691, 547, 2826, 319, 3909, 11, 2795, 860, 30, 46506, 327, 28270, 7203, 27524, 3471, 4943, 16034, 3084, 62, 1433, 2931, 22, 33411, 366, 10430, 1, 796, 705, 19844, 11, 2795, 860, 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 ]
[ 2437, 867, 7691, 547, 2826, 319, 3909, 11, 2795, 860, 30, 46506, 327, 28270, 7203, 27524, 3471, 4943, 16034, 3084, 62, 1433, 2931, 22, 33411, 366, 10430, 1, 796, 705, 19844, 11, 2795, 860, 6 ]
How many positions had jersey number 32
SELECT COUNT(position) FROM table_11734041_18 WHERE no_s_ = "32"
[ 2437, 867, 6116, 550, 22383, 1271, 3933, 46506, 327, 28270, 7, 9150, 8, 16034, 3084, 62, 1157, 4790, 1821, 3901, 62, 1507, 33411, 645, 62, 82, 62, 796, 366, 2624, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 6116, 550, 22383, 1271, 3933, 46506, 327, 28270, 7, 9150, 8, 16034, 3084, 62, 1157, 4790, 1821, 3901, 62, 1507, 33411, 645, 62, 82, 62, 796, 366, 2624, 1 ]
when is the last time patient 1269 visited the hospital during a year before?
SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 1269 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY admissions.admittime DESC LIMIT 1
[ 12518, 318, 262, 938, 640, 5827, 1105, 3388, 8672, 262, 4436, 1141, 257, 614, 878, 30, 46506, 25349, 13, 324, 20124, 524, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 1105, 3388, 5357, 360, 1404, 2767, 12789, 7, 324, 8481, 13, 324, 20124, 524, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 16, 614, 11537, 38678, 11050, 25349, 13, 324, 20124, 524, 22196, 34, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 318, 262, 938, 640, 5827, 1105, 3388, 8672, 262, 4436, 1141, 257, 614, 878, 30, 46506, 25349, 13, 324, 20124, 524, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 1105, 3388, 5357, 360, 1404, 2767, 12789, 7, 324, 8481, 13, 324, 20124, 524, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 16, 614, 11537, 38678, 11050, 25349, 13, 324, 20124, 524, 22196, 34, 27564, 2043, 352 ]
how many patients admitted before the year 2138 were discharged as dead or expired?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DEAD/EXPIRED" AND demographic.admityear < "2138"
[ 4919, 867, 3871, 6848, 878, 262, 614, 362, 20107, 547, 26476, 355, 2636, 393, 21350, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 7206, 2885, 14, 49864, 37819, 1, 5357, 16728, 13, 324, 76, 414, 451, 1279, 366, 17, 20107, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6848, 878, 262, 614, 362, 20107, 547, 26476, 355, 2636, 393, 21350, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 7206, 2885, 14, 49864, 37819, 1, 5357, 16728, 13, 324, 76, 414, 451, 1279, 366, 17, 20107, 1 ]
Name the total number of jons team for 15x07
SELECT COUNT(jons_team) FROM table_23292220_17 WHERE episode = "15x07"
[ 5376, 262, 2472, 1271, 286, 474, 684, 1074, 329, 1315, 87, 2998, 46506, 327, 28270, 7, 73, 684, 62, 15097, 8, 16034, 3084, 62, 1954, 1959, 1828, 1238, 62, 1558, 33411, 4471, 796, 366, 1314, 87, 2998, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2472, 1271, 286, 474, 684, 1074, 329, 1315, 87, 2998, 46506, 327, 28270, 7, 73, 684, 62, 15097, 8, 16034, 3084, 62, 1954, 1959, 1828, 1238, 62, 1558, 33411, 4471, 796, 366, 1314, 87, 2998, 1 ]
who is the the candidates with district being mississippi 4
SELECT "Candidates" FROM table_18703 WHERE "District" = 'Mississippi 4'
[ 8727, 318, 262, 262, 5871, 351, 4783, 852, 2051, 747, 12715, 604, 46506, 366, 41572, 37051, 1, 16034, 3084, 62, 1507, 36809, 33411, 366, 44857, 1, 796, 705, 17140, 747, 12715, 604, 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 ]
[ 8727, 318, 262, 262, 5871, 351, 4783, 852, 2051, 747, 12715, 604, 46506, 366, 41572, 37051, 1, 16034, 3084, 62, 1507, 36809, 33411, 366, 44857, 1, 796, 705, 17140, 747, 12715, 604, 6 ]
Visualize a bar chart for what is the name of each aircraft and how many flights does each one complete?, and display by the Y-axis in ascending.
SELECT name, COUNT(*) FROM flight AS T1 JOIN aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid ORDER BY COUNT(*)
[ 36259, 1096, 257, 2318, 8262, 329, 644, 318, 262, 1438, 286, 1123, 6215, 290, 703, 867, 13956, 857, 1123, 530, 1844, 21747, 290, 3359, 416, 262, 575, 12, 22704, 287, 41988, 13, 46506, 1438, 11, 327, 28270, 7, 28104, 16034, 5474, 7054, 309, 16, 32357, 1268, 6215, 7054, 309, 17, 6177, 309, 16, 13, 1698, 796, 309, 17, 13, 1698, 44441, 11050, 309, 16, 13, 1698, 38678, 11050, 327, 28270, 7, 28104 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 36259, 1096, 257, 2318, 8262, 329, 644, 318, 262, 1438, 286, 1123, 6215, 290, 703, 867, 13956, 857, 1123, 530, 1844, 21747, 290, 3359, 416, 262, 575, 12, 22704, 287, 41988, 13, 46506, 1438, 11, 327, 28270, 7, 28104, 16034, 5474, 7054, 309, 16, 32357, 1268, 6215, 7054, 309, 17, 6177, 309, 16, 13, 1698, 796, 309, 17, 13, 1698, 44441, 11050, 309, 16, 13, 1698, 38678, 11050, 327, 28270, 7, 28104 ]
self _ report having an hba1c measure greater than 7 % in the past 6 months
SELECT * FROM table_train_265 WHERE hba1c > 7
[ 944, 4808, 989, 1719, 281, 289, 7012, 16, 66, 3953, 3744, 621, 767, 4064, 287, 262, 1613, 718, 1933, 46506, 1635, 16034, 3084, 62, 27432, 62, 22980, 33411, 289, 7012, 16, 66, 1875, 767 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 944, 4808, 989, 1719, 281, 289, 7012, 16, 66, 3953, 3744, 621, 767, 4064, 287, 262, 1613, 718, 1933, 46506, 1635, 16034, 3084, 62, 27432, 62, 22980, 33411, 289, 7012, 16, 66, 1875, 767 ]
What is every team with location attendance of Seattle Center Coliseum 14,180?
SELECT "Team" FROM table_30069 WHERE "Location Attendance" = 'Seattle Center Coliseum 14,180'
[ 2061, 318, 790, 1074, 351, 4067, 14858, 286, 7312, 3337, 40846, 1478, 11, 15259, 30, 46506, 366, 15592, 1, 16034, 3084, 62, 6200, 3388, 33411, 366, 14749, 46502, 590, 1, 796, 705, 34007, 3337, 40846, 1478, 11, 15259, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 790, 1074, 351, 4067, 14858, 286, 7312, 3337, 40846, 1478, 11, 15259, 30, 46506, 366, 15592, 1, 16034, 3084, 62, 6200, 3388, 33411, 366, 14749, 46502, 590, 1, 796, 705, 34007, 3337, 40846, 1478, 11, 15259, 6 ]
which language does patient jonathan wiggins speak?
SELECT demographic.language FROM demographic WHERE demographic.name = "Jonathan Wiggins"
[ 4758, 3303, 857, 5827, 474, 261, 6696, 266, 23567, 2740, 30, 46506, 16728, 13, 16129, 16034, 16728, 33411, 16728, 13, 3672, 796, 366, 30365, 44633, 1 ]
[ 1, 1, 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, 3303, 857, 5827, 474, 261, 6696, 266, 23567, 2740, 30, 46506, 16728, 13, 16129, 16034, 16728, 33411, 16728, 13, 3672, 796, 366, 30365, 44633, 1 ]
Give me the comparison about School_ID over the All_Neutral , show Y from low to high order please.
SELECT All_Neutral, School_ID FROM basketball_match ORDER BY School_ID
[ 23318, 502, 262, 7208, 546, 3961, 62, 2389, 625, 262, 1439, 62, 8199, 6815, 837, 905, 575, 422, 1877, 284, 1029, 1502, 3387, 13, 46506, 1439, 62, 8199, 6815, 11, 3961, 62, 2389, 16034, 9669, 62, 15699, 38678, 11050, 3961, 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 ]
[ 23318, 502, 262, 7208, 546, 3961, 62, 2389, 625, 262, 1439, 62, 8199, 6815, 837, 905, 575, 422, 1877, 284, 1029, 1502, 3387, 13, 46506, 1439, 62, 8199, 6815, 11, 3961, 62, 2389, 16034, 9669, 62, 15699, 38678, 11050, 3961, 62, 2389 ]
Which Adelaide has a Melbourne of yes, an Auckland of yes, and a Perth of yes?
SELECT adelaide FROM table_name_2 WHERE melbourne = "yes" AND auckland = "yes" AND perth = "yes"
[ 13828, 27139, 468, 257, 14819, 286, 3763, 11, 281, 30422, 286, 3763, 11, 290, 257, 29913, 286, 3763, 30, 46506, 512, 25078, 16034, 3084, 62, 3672, 62, 17, 33411, 7758, 12544, 796, 366, 8505, 1, 5357, 257, 28789, 796, 366, 8505, 1, 5357, 583, 400, 796, 366, 8505, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 27139, 468, 257, 14819, 286, 3763, 11, 281, 30422, 286, 3763, 11, 290, 257, 29913, 286, 3763, 30, 46506, 512, 25078, 16034, 3084, 62, 3672, 62, 17, 33411, 7758, 12544, 796, 366, 8505, 1, 5357, 257, 28789, 796, 366, 8505, 1, 5357, 583, 400, 796, 366, 8505, 1 ]
What is the number of rank with the viewership of 5.96 million?
SELECT COUNT("Rank (#)") FROM table_16588 WHERE "Viewers (m)" = '5.96'
[ 2061, 318, 262, 1271, 286, 4279, 351, 262, 48347, 286, 642, 13, 4846, 1510, 30, 46506, 327, 28270, 7203, 27520, 17426, 8, 4943, 16034, 3084, 62, 1433, 39118, 33411, 366, 7680, 364, 357, 76, 16725, 796, 705, 20, 13, 4846, 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, 318, 262, 1271, 286, 4279, 351, 262, 48347, 286, 642, 13, 4846, 1510, 30, 46506, 327, 28270, 7203, 27520, 17426, 8, 4943, 16034, 3084, 62, 1433, 39118, 33411, 366, 7680, 364, 357, 76, 16725, 796, 705, 20, 13, 4846, 6 ]
How many times is avg/g 2?
SELECT COUNT("Receptions") FROM table_66517 WHERE "Avg/G" = '2'
[ 2437, 867, 1661, 318, 42781, 14, 70, 362, 30, 46506, 327, 28270, 7203, 3041, 11755, 4943, 16034, 3084, 62, 36879, 1558, 33411, 366, 48997, 14, 38, 1, 796, 705, 17, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 1661, 318, 42781, 14, 70, 362, 30, 46506, 327, 28270, 7203, 3041, 11755, 4943, 16034, 3084, 62, 36879, 1558, 33411, 366, 48997, 14, 38, 1, 796, 705, 17, 6 ]
count the number of patients whose age is less than 86 and diagnoses icd9 code is 45829?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "86" AND diagnoses.icd9_code = "45829"
[ 9127, 262, 1271, 286, 3871, 3025, 2479, 318, 1342, 621, 9849, 290, 40567, 14158, 67, 24, 2438, 318, 50154, 1959, 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, 496, 1279, 366, 4521, 1, 5357, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 29334, 1959, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9127, 262, 1271, 286, 3871, 3025, 2479, 318, 1342, 621, 9849, 290, 40567, 14158, 67, 24, 2438, 318, 50154, 1959, 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, 496, 1279, 366, 4521, 1, 5357, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 29334, 1959, 1 ]
What are the nationalities and ages of journalists?
SELECT nationality, age FROM journalist
[ 2061, 389, 262, 2260, 871, 290, 9337, 286, 9046, 30, 46506, 29835, 11, 2479, 16034, 10099 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 2260, 871, 290, 9337, 286, 9046, 30, 46506, 29835, 11, 2479, 16034, 10099 ]
What was the outcome of the final with a partner of Brett Steven?
SELECT outcome FROM table_name_62 WHERE partner = "brett steven"
[ 2061, 373, 262, 8055, 286, 262, 2457, 351, 257, 5212, 286, 18726, 8239, 30, 46506, 8055, 16034, 3084, 62, 3672, 62, 5237, 33411, 5212, 796, 366, 4679, 926, 2876, 574, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 8055, 286, 262, 2457, 351, 257, 5212, 286, 18726, 8239, 30, 46506, 8055, 16034, 3084, 62, 3672, 62, 5237, 33411, 5212, 796, 366, 4679, 926, 2876, 574, 1 ]
Which college/junior/club team did the player play on that played for the Buffalo Sabres in NHL?
SELECT college_junior_club_team FROM table_1473672_3 WHERE nhl_team = "Buffalo Sabres"
[ 13828, 4152, 14, 29741, 1504, 14, 18664, 1074, 750, 262, 2137, 711, 319, 326, 2826, 329, 262, 14905, 45899, 287, 9481, 30, 46506, 4152, 62, 29741, 1504, 62, 18664, 62, 15097, 16034, 3084, 62, 20198, 2623, 4761, 62, 18, 33411, 299, 18519, 62, 15097, 796, 366, 36474, 7335, 45899, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4152, 14, 29741, 1504, 14, 18664, 1074, 750, 262, 2137, 711, 319, 326, 2826, 329, 262, 14905, 45899, 287, 9481, 30, 46506, 4152, 62, 29741, 1504, 62, 18664, 62, 15097, 16034, 3084, 62, 20198, 2623, 4761, 62, 18, 33411, 299, 18519, 62, 15097, 796, 366, 36474, 7335, 45899, 1 ]
What is the title with an average rating of 22.4%?
SELECT "Romaji Title" FROM table_73021 WHERE "Average Ratings" = '22.4%'
[ 2061, 318, 262, 3670, 351, 281, 2811, 7955, 286, 2534, 13, 19, 4, 30, 46506, 366, 22834, 26436, 11851, 1, 16034, 3084, 62, 43916, 2481, 33411, 366, 26287, 36826, 1, 796, 705, 1828, 13, 19, 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, 1, 1, 1, 1 ]
[ 2061, 318, 262, 3670, 351, 281, 2811, 7955, 286, 2534, 13, 19, 4, 30, 46506, 366, 22834, 26436, 11851, 1, 16034, 3084, 62, 43916, 2481, 33411, 366, 26287, 36826, 1, 796, 705, 1828, 13, 19, 4, 6 ]
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the average of salary bin hire_date by weekday, and could you sort y axis in descending order?
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(SALARY) DESC
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2811, 286, 9588, 9874, 11078, 62, 4475, 416, 28269, 11, 290, 714, 345, 3297, 331, 16488, 287, 31491, 1502, 30, 46506, 36210, 2200, 62, 35, 6158, 11, 35224, 7, 50, 1847, 13153, 8, 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, 35224 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 11078, 62, 4475, 290, 262, 2811, 286, 9588, 9874, 11078, 62, 4475, 416, 28269, 11, 290, 714, 345, 3297, 331, 16488, 287, 31491, 1502, 30, 46506, 36210, 2200, 62, 35, 6158, 11, 35224, 7, 50, 1847, 13153, 8, 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, 35224 ]
Which round did jonathan bomarito win?
SELECT round FROM table_name_23 WHERE winning_driver = "jonathan bomarito"
[ 13828, 2835, 750, 474, 261, 6696, 8626, 283, 10094, 1592, 30, 46506, 2835, 16034, 3084, 62, 3672, 62, 1954, 33411, 5442, 62, 26230, 796, 366, 46286, 6696, 8626, 283, 10094, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 2835, 750, 474, 261, 6696, 8626, 283, 10094, 1592, 30, 46506, 2835, 16034, 3084, 62, 3672, 62, 1954, 33411, 5442, 62, 26230, 796, 366, 46286, 6696, 8626, 283, 10094, 1 ]
What is the Position of moose goheen?
SELECT "Position" FROM table_7409 WHERE "Name" = 'moose goheen'
[ 2061, 318, 262, 23158, 286, 6941, 577, 467, 258, 268, 30, 46506, 366, 26545, 1, 16034, 3084, 62, 22, 29416, 33411, 366, 5376, 1, 796, 705, 5908, 577, 467, 258, 268, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 23158, 286, 6941, 577, 467, 258, 268, 30, 46506, 366, 26545, 1, 16034, 3084, 62, 22, 29416, 33411, 366, 5376, 1, 796, 705, 5908, 577, 467, 258, 268, 6 ]
How many millions of people in the US watched when Kevin Bray was director?
SELECT "U.S. viewers (million)" FROM table_73652 WHERE "Directed by" = 'Kevin Bray'
[ 2437, 867, 5242, 286, 661, 287, 262, 1294, 7342, 618, 7939, 43050, 373, 3437, 30, 46506, 366, 52, 13, 50, 13, 10209, 357, 14100, 16725, 16034, 3084, 62, 49150, 4309, 33411, 366, 13470, 276, 416, 1, 796, 705, 23865, 43050, 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 ]
[ 2437, 867, 5242, 286, 661, 287, 262, 1294, 7342, 618, 7939, 43050, 373, 3437, 30, 46506, 366, 52, 13, 50, 13, 10209, 357, 14100, 16725, 16034, 3084, 62, 49150, 4309, 33411, 366, 13470, 276, 416, 1, 796, 705, 23865, 43050, 6 ]
When did Mathieu play against Andrey Golubev?
SELECT date FROM table_name_7 WHERE opponent_in_the_final = "andrey golubev"
[ 2215, 750, 16320, 22304, 711, 1028, 843, 4364, 26849, 549, 1990, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 22, 33411, 6125, 62, 259, 62, 1169, 62, 20311, 796, 366, 392, 4364, 43791, 549, 1990, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 750, 16320, 22304, 711, 1028, 843, 4364, 26849, 549, 1990, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 22, 33411, 6125, 62, 259, 62, 1169, 62, 20311, 796, 366, 392, 4364, 43791, 549, 1990, 1 ]
What is the total number of Height(s), when Spike is less than 352, when Block is greater than 300, and when Name is Pablo Meana?
SELECT COUNT(height) FROM table_name_21 WHERE spike < 352 AND block > 300 AND name = "pablo meana"
[ 2061, 318, 262, 2472, 1271, 286, 27280, 7, 82, 828, 618, 26309, 318, 1342, 621, 44063, 11, 618, 9726, 318, 3744, 621, 5867, 11, 290, 618, 6530, 318, 33185, 2185, 2271, 30, 46506, 327, 28270, 7, 17015, 8, 16034, 3084, 62, 3672, 62, 2481, 33411, 20240, 1279, 44063, 5357, 2512, 1875, 5867, 5357, 1438, 796, 366, 79, 18817, 1612, 64, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 27280, 7, 82, 828, 618, 26309, 318, 1342, 621, 44063, 11, 618, 9726, 318, 3744, 621, 5867, 11, 290, 618, 6530, 318, 33185, 2185, 2271, 30, 46506, 327, 28270, 7, 17015, 8, 16034, 3084, 62, 3672, 62, 2481, 33411, 20240, 1279, 44063, 5357, 2512, 1875, 5867, 5357, 1438, 796, 366, 79, 18817, 1612, 64, 1 ]
How many papers has Noah Smith co-authored since 2009 ?
SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, paper, writes WHERE author.authorname <> 'Noah Smith' AND paper.year > 2009 AND writes.authorid = author.authorid AND writes.paperid = paper.paperid AND writes.paperid IN (SELECT WRITESalias1.paperid FROM author AS AUTHORalias1, writes AS WRITESalias1 WHERE AUTHORalias1.authorname LIKE 'Noah Smith' AND WRITESalias1.authorid = AUTHORalias1.authorid)
[ 2437, 867, 9473, 468, 18394, 4176, 763, 12, 39351, 1201, 3717, 5633, 46506, 360, 8808, 1268, 4177, 327, 28270, 7, 35, 8808, 1268, 4177, 6797, 13, 20189, 312, 8, 16034, 1772, 11, 3348, 11, 6797, 33411, 1772, 13, 18439, 1211, 480, 1279, 29, 705, 2949, 993, 4176, 6, 5357, 3348, 13, 1941, 1875, 3717, 5357, 6797, 13, 9800, 312, 796, 1772, 13, 9800, 312, 5357, 6797, 13, 20189, 312, 796, 3348, 13, 20189, 312, 5357, 6797, 13, 20189, 312, 3268, 357, 46506, 11342, 2043, 1546, 26011, 16, 13, 20189, 312, 16034, 1772, 7054, 44746, 26011, 16, 11, 6797, 7054, 11342 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 18394, 4176, 763, 12, 39351, 1201, 3717, 5633, 46506, 360, 8808, 1268, 4177, 327, 28270, 7, 35, 8808, 1268, 4177, 6797, 13, 20189, 312, 8, 16034, 1772, 11, 3348, 11, 6797, 33411, 1772, 13, 18439, 1211, 480, 1279, 29, 705, 2949, 993, 4176, 6, 5357, 3348, 13, 1941, 1875, 3717, 5357, 6797, 13, 9800, 312, 796, 1772, 13, 9800, 312, 5357, 6797, 13, 20189, 312, 796, 3348, 13, 20189, 312, 5357, 6797, 13, 20189, 312, 3268, 357, 46506, 11342, 2043, 1546, 26011, 16, 13, 20189, 312, 16034, 1772, 7054, 44746, 26011, 16, 11, 6797, 7054, 11342 ]
when was the first time until 04/28/2105 patient 015-16479 was measured for a sao2 that was greater than 93.0?
SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-16479')) AND vitalperiodic.sao2 > 93.0 AND NOT vitalperiodic.sao2 IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) <= '2105-04-28' ORDER BY vitalperiodic.observationtime LIMIT 1
[ 12518, 373, 262, 717, 640, 1566, 8702, 14, 2078, 14, 17, 13348, 5827, 5534, 20, 12, 1433, 31714, 373, 8630, 329, 257, 473, 78, 17, 326, 373, 3744, 621, 10261, 13, 15, 30, 46506, 9204, 41007, 291, 13, 672, 3168, 341, 2435, 16034, 9204, 41007, 291, 33411, 9204, 41007, 291, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 25150, 12, 1433, 31714, 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 ]
[ 12518, 373, 262, 717, 640, 1566, 8702, 14, 2078, 14, 17, 13348, 5827, 5534, 20, 12, 1433, 31714, 373, 8630, 329, 257, 473, 78, 17, 326, 373, 3744, 621, 10261, 13, 15, 30, 46506, 9204, 41007, 291, 13, 672, 3168, 341, 2435, 16034, 9204, 41007, 291, 33411, 9204, 41007, 291, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 25150, 12, 1433, 31714, 6 ]
Which city has the cincinnati hockey website?
SELECT "Location" FROM table_20717 WHERE "Team Website" = 'Cincinnati Hockey'
[ 13828, 1748, 468, 262, 269, 15130, 12217, 3052, 30, 46506, 366, 14749, 1, 16034, 3084, 62, 22745, 1558, 33411, 366, 15592, 15887, 1, 796, 705, 34, 15130, 17277, 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 ]
[ 13828, 1748, 468, 262, 269, 15130, 12217, 3052, 30, 46506, 366, 14749, 1, 16034, 3084, 62, 22745, 1558, 33411, 366, 15592, 15887, 1, 796, 705, 34, 15130, 17277, 6 ]
how many total symbols are shown ?
SELECT COUNT("symbol") FROM table_203_540
[ 4919, 867, 2472, 14354, 389, 3402, 5633, 46506, 327, 28270, 7203, 1837, 23650, 4943, 16034, 3084, 62, 22416, 62, 35005 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 2472, 14354, 389, 3402, 5633, 46506, 327, 28270, 7203, 1837, 23650, 4943, 16034, 3084, 62, 22416, 62, 35005 ]
What is the shortest length of a track in Norway that has a maximum grade of 15% and a vertical drop less than 122.22 m?
SELECT MIN(length__m_) FROM table_name_72 WHERE maximum_grade___percentage_ = "15" AND vertical_drop__m_ < 122.22 AND country = "norway"
[ 2061, 318, 262, 35581, 4129, 286, 257, 2610, 287, 15238, 326, 468, 257, 5415, 9559, 286, 1315, 4, 290, 257, 11723, 4268, 1342, 621, 19409, 13, 1828, 285, 30, 46506, 20625, 7, 13664, 834, 76, 62, 8, 16034, 3084, 62, 3672, 62, 4761, 33411, 5415, 62, 9526, 17569, 25067, 496, 62, 796, 366, 1314, 1, 5357, 11723, 62, 14781, 834, 76, 62, 1279, 19409, 13, 1828, 5357, 1499, 796, 366, 13099, 1014, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 35581, 4129, 286, 257, 2610, 287, 15238, 326, 468, 257, 5415, 9559, 286, 1315, 4, 290, 257, 11723, 4268, 1342, 621, 19409, 13, 1828, 285, 30, 46506, 20625, 7, 13664, 834, 76, 62, 8, 16034, 3084, 62, 3672, 62, 4761, 33411, 5415, 62, 9526, 17569, 25067, 496, 62, 796, 366, 1314, 1, 5357, 11723, 62, 14781, 834, 76, 62, 1279, 19409, 13, 1828, 5357, 1499, 796, 366, 13099, 1014, 1 ]
What is the name that has July 1823 as the Laid down, and portsmouth as the built by hm dockyard?
SELECT "Name" FROM table_7077 WHERE "Laid down" = 'july 1823' AND "Built by HM Dockyard" = 'portsmouth'
[ 2061, 318, 262, 1438, 326, 468, 2901, 1248, 1954, 355, 262, 406, 1698, 866, 11, 290, 14090, 14775, 355, 262, 3170, 416, 289, 76, 23423, 9413, 30, 46506, 366, 5376, 1, 16034, 3084, 62, 2154, 3324, 33411, 366, 43, 1698, 866, 1, 796, 705, 73, 2062, 1248, 1954, 6, 5357, 366, 39582, 416, 25904, 36444, 9413, 1, 796, 705, 3742, 14775, 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 ]
[ 2061, 318, 262, 1438, 326, 468, 2901, 1248, 1954, 355, 262, 406, 1698, 866, 11, 290, 14090, 14775, 355, 262, 3170, 416, 289, 76, 23423, 9413, 30, 46506, 366, 5376, 1, 16034, 3084, 62, 2154, 3324, 33411, 366, 43, 1698, 866, 1, 796, 705, 73, 2062, 1248, 1954, 6, 5357, 366, 39582, 416, 25904, 36444, 9413, 1, 796, 705, 3742, 14775, 6 ]
What amount of earnings does Tiger Woods have?
SELECT "Earnings ( $ )" FROM table_34450 WHERE "Player" = 'tiger woods'
[ 2061, 2033, 286, 12042, 857, 17030, 16483, 423, 30, 46506, 366, 49725, 654, 357, 720, 1267, 1, 16034, 3084, 62, 33535, 1120, 33411, 366, 14140, 1, 796, 705, 83, 8254, 16479, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 2033, 286, 12042, 857, 17030, 16483, 423, 30, 46506, 366, 49725, 654, 357, 720, 1267, 1, 16034, 3084, 62, 33535, 1120, 33411, 366, 14140, 1, 796, 705, 83, 8254, 16479, 6 ]
What is the score of the competition on November 10?
SELECT score FROM table_name_90 WHERE date = "november 10"
[ 2061, 318, 262, 4776, 286, 262, 5449, 319, 3389, 838, 30, 46506, 4776, 16034, 3084, 62, 3672, 62, 3829, 33411, 3128, 796, 366, 77, 3239, 838, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4776, 286, 262, 5449, 319, 3389, 838, 30, 46506, 4776, 16034, 3084, 62, 3672, 62, 3829, 33411, 3128, 796, 366, 77, 3239, 838, 1 ]
What was the venue on 17/02/2008?
SELECT venue FROM table_name_1 WHERE date = "17/02/2008"
[ 2061, 373, 262, 14359, 319, 1596, 14, 2999, 14, 11528, 30, 46506, 14359, 16034, 3084, 62, 3672, 62, 16, 33411, 3128, 796, 366, 1558, 14, 2999, 14, 11528, 1 ]
[ 1, 1, 1, 1, 1, 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, 14359, 319, 1596, 14, 2999, 14, 11528, 30, 46506, 14359, 16034, 3084, 62, 3672, 62, 16, 33411, 3128, 796, 366, 1558, 14, 2999, 14, 11528, 1 ]
How many patients were born before the year 2114 and survived?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.dob_year < "2114"
[ 2437, 867, 3871, 547, 4642, 878, 262, 614, 362, 16562, 290, 11803, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 1069, 5111, 62, 32109, 796, 366, 15, 1, 5357, 16728, 13, 67, 672, 62, 1941, 1279, 366, 17, 16562, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 4642, 878, 262, 614, 362, 16562, 290, 11803, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 1069, 5111, 62, 32109, 796, 366, 15, 1, 5357, 16728, 13, 67, 672, 62, 1941, 1279, 366, 17, 16562, 1 ]
what is maximum age of patients whose gender is m and age is greater than or equal to 49?
SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.age >= "49"
[ 10919, 318, 5415, 2479, 286, 3871, 3025, 5279, 318, 285, 290, 2479, 318, 3744, 621, 393, 4961, 284, 5125, 30, 46506, 25882, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 8388, 796, 366, 44, 1, 5357, 16728, 13, 496, 18189, 366, 2920, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5279, 318, 285, 290, 2479, 318, 3744, 621, 393, 4961, 284, 5125, 30, 46506, 25882, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 8388, 796, 366, 44, 1, 5357, 16728, 13, 496, 18189, 366, 2920, 1 ]
What is the average wins of a team with more than 0 ples and less than 3 podiums?
SELECT AVG("Wins") FROM table_55607 WHERE "Poles" > '0' AND "Podiums" < '3'
[ 2061, 318, 262, 2811, 7864, 286, 257, 1074, 351, 517, 621, 657, 458, 274, 290, 1342, 621, 513, 27941, 82, 30, 46506, 35224, 7203, 54, 1040, 4943, 16034, 3084, 62, 2816, 31980, 33411, 366, 47, 4316, 1, 1875, 705, 15, 6, 5357, 366, 47, 12664, 82, 1, 1279, 705, 18, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2811, 7864, 286, 257, 1074, 351, 517, 621, 657, 458, 274, 290, 1342, 621, 513, 27941, 82, 30, 46506, 35224, 7203, 54, 1040, 4943, 16034, 3084, 62, 2816, 31980, 33411, 366, 47, 4316, 1, 1875, 705, 15, 6, 5357, 366, 47, 12664, 82, 1, 1279, 705, 18, 6 ]
When was the Attendance larger than 74,382?
SELECT "Date" FROM table_60360 WHERE "Attendance" > '74,382'
[ 2215, 373, 262, 46502, 590, 4025, 621, 8915, 11, 36243, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 1899, 15277, 33411, 366, 8086, 437, 590, 1, 1875, 705, 4524, 11, 36243, 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 ]
[ 2215, 373, 262, 46502, 590, 4025, 621, 8915, 11, 36243, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 1899, 15277, 33411, 366, 8086, 437, 590, 1, 1875, 705, 4524, 11, 36243, 6 ]
indicate the daily minimum volume of t tube that patient 027-8953 has had on the first intensive care unit visit.
SELECT MIN(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-8953') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND intakeoutput.celllabel = 't tube' AND intakeoutput.cellpath LIKE '%output%' GROUP BY STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime)
[ 521, 5344, 262, 4445, 5288, 6115, 286, 256, 12403, 326, 5827, 657, 1983, 12, 23, 49649, 468, 550, 319, 262, 717, 18590, 1337, 4326, 3187, 13, 46506, 20625, 7, 600, 539, 22915, 13, 3846, 2100, 84, 268, 39223, 8, 16034, 10337, 22915, 33411, 10337, 22915, 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, 44698, 12, 23, 49649, 11537, 5357, 5626, 5827, 13, 20850 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5288, 6115, 286, 256, 12403, 326, 5827, 657, 1983, 12, 23, 49649, 468, 550, 319, 262, 717, 18590, 1337, 4326, 3187, 13, 46506, 20625, 7, 600, 539, 22915, 13, 3846, 2100, 84, 268, 39223, 8, 16034, 10337, 22915, 33411, 10337, 22915, 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, 44698, 12, 23, 49649, 11537, 5357, 5626, 5827, 13, 20850 ]
Find the birth dates corresponding to employees who live in the city of Edmonton.
SELECT birthdate FROM employee WHERE city = "Edmonton"
[ 16742, 262, 4082, 9667, 11188, 284, 4409, 508, 2107, 287, 262, 1748, 286, 21165, 13, 46506, 4082, 4475, 16034, 6538, 33411, 1748, 796, 366, 7407, 19729, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 262, 4082, 9667, 11188, 284, 4409, 508, 2107, 287, 262, 1748, 286, 21165, 13, 46506, 4082, 4475, 16034, 6538, 33411, 1748, 796, 366, 7407, 19729, 1 ]
Which potential's period 5 is 4 and has an element of antimony?
SELECT "potential" FROM table_43274 WHERE "period" = '5' AND "element" = 'antimony'
[ 13828, 2785, 338, 2278, 642, 318, 604, 290, 468, 281, 5002, 286, 1885, 33969, 30, 46506, 366, 13059, 1843, 1, 16034, 3084, 62, 3559, 28857, 33411, 366, 41007, 1, 796, 705, 20, 6, 5357, 366, 30854, 1, 796, 705, 415, 33969, 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 ]
[ 13828, 2785, 338, 2278, 642, 318, 604, 290, 468, 281, 5002, 286, 1885, 33969, 30, 46506, 366, 13059, 1843, 1, 16034, 3084, 62, 3559, 28857, 33411, 366, 41007, 1, 796, 705, 20, 6, 5357, 366, 30854, 1, 796, 705, 415, 33969, 6 ]
Which member names are shared among members in the party with the id 3 and the party with the id 1?
SELECT member_name FROM member WHERE party_id = 3 INTERSECT SELECT member_name FROM member WHERE party_id = 1
[ 13828, 2888, 3891, 389, 4888, 1871, 1866, 287, 262, 2151, 351, 262, 4686, 513, 290, 262, 2151, 351, 262, 4686, 352, 30, 46506, 2888, 62, 3672, 16034, 2888, 33411, 2151, 62, 312, 796, 513, 17828, 4877, 9782, 33493, 2888, 62, 3672, 16034, 2888, 33411, 2151, 62, 312, 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 ]
[ 13828, 2888, 3891, 389, 4888, 1871, 1866, 287, 262, 2151, 351, 262, 4686, 513, 290, 262, 2151, 351, 262, 4686, 352, 30, 46506, 2888, 62, 3672, 16034, 2888, 33411, 2151, 62, 312, 796, 513, 17828, 4877, 9782, 33493, 2888, 62, 3672, 16034, 2888, 33411, 2151, 62, 312, 796, 352 ]
Tell me the average year with a record of 33-33
SELECT AVG("Year") FROM table_55802 WHERE "Record" = '33-33'
[ 24446, 502, 262, 2811, 614, 351, 257, 1700, 286, 4747, 12, 2091, 46506, 35224, 7203, 17688, 4943, 16034, 3084, 62, 2816, 30863, 33411, 366, 23739, 1, 796, 705, 2091, 12, 2091, 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 ]
[ 24446, 502, 262, 2811, 614, 351, 257, 1700, 286, 4747, 12, 2091, 46506, 35224, 7203, 17688, 4943, 16034, 3084, 62, 2816, 30863, 33411, 366, 23739, 1, 796, 705, 2091, 12, 2091, 6 ]
What titles were fought for on 1997-04-12?
SELECT "Titles" FROM table_17557 WHERE "Date" = '1997-04-12'
[ 2061, 8714, 547, 8350, 329, 319, 8309, 12, 3023, 12, 1065, 30, 46506, 366, 51, 30540, 1, 16034, 3084, 62, 1558, 41948, 33411, 366, 10430, 1, 796, 705, 21498, 12, 3023, 12, 1065, 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 ]
[ 2061, 8714, 547, 8350, 329, 319, 8309, 12, 3023, 12, 1065, 30, 46506, 366, 51, 30540, 1, 16034, 3084, 62, 1558, 41948, 33411, 366, 10430, 1, 796, 705, 21498, 12, 3023, 12, 1065, 6 ]
Who is the player who played for the Miami Sol and went to school at North Carolina State?
SELECT "Player" FROM table_50402 WHERE "New WNBA Team" = 'miami sol' AND "College/Country/Team" = 'north carolina state'
[ 8241, 318, 262, 2137, 508, 2826, 329, 262, 8437, 4294, 290, 1816, 284, 1524, 379, 2258, 5913, 1812, 30, 46506, 366, 14140, 1, 16034, 3084, 62, 1120, 32531, 33411, 366, 3791, 370, 32470, 4816, 1, 796, 705, 76, 7871, 1540, 6, 5357, 366, 38951, 14, 33921, 14, 15592, 1, 796, 705, 43588, 1097, 47196, 1181, 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 ]
[ 8241, 318, 262, 2137, 508, 2826, 329, 262, 8437, 4294, 290, 1816, 284, 1524, 379, 2258, 5913, 1812, 30, 46506, 366, 14140, 1, 16034, 3084, 62, 1120, 32531, 33411, 366, 3791, 370, 32470, 4816, 1, 796, 705, 76, 7871, 1540, 6, 5357, 366, 38951, 14, 33921, 14, 15592, 1, 796, 705, 43588, 1097, 47196, 1181, 6 ]
Who is at rank 9?
SELECT name FROM table_name_72 WHERE rank = 9
[ 8241, 318, 379, 4279, 860, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 4761, 33411, 4279, 796, 860 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 318, 379, 4279, 860, 30, 46506, 1438, 16034, 3084, 62, 3672, 62, 4761, 33411, 4279, 796, 860 ]
Where was the match with a score of 4.10 (34) - 8.12 (60)?
SELECT "Venue" FROM table_31669 WHERE "Score" = '4.10 (34) - 8.12 (60)'
[ 8496, 373, 262, 2872, 351, 257, 4776, 286, 604, 13, 940, 357, 2682, 8, 532, 807, 13, 1065, 357, 1899, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 33400, 3388, 33411, 366, 26595, 1, 796, 705, 19, 13, 940, 357, 2682, 8, 532, 807, 13, 1065, 357, 1899, 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, 1, 1 ]
[ 8496, 373, 262, 2872, 351, 257, 4776, 286, 604, 13, 940, 357, 2682, 8, 532, 807, 13, 1065, 357, 1899, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 33400, 3388, 33411, 366, 26595, 1, 796, 705, 19, 13, 940, 357, 2682, 8, 532, 807, 13, 1065, 357, 1899, 33047 ]
Which Services have a Local authority of chiltern, and a Zone 2010 of 9?
SELECT "Services" FROM table_75339 WHERE "Local authority" = 'chiltern' AND "Zone 2010" = '9'
[ 13828, 6168, 423, 257, 10714, 4934, 286, 442, 346, 759, 11, 290, 257, 13035, 3050, 286, 860, 30, 46506, 366, 31007, 1, 16034, 3084, 62, 2425, 29626, 33411, 366, 14565, 4934, 1, 796, 705, 354, 346, 759, 6, 5357, 366, 26961, 3050, 1, 796, 705, 24, 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 ]
[ 13828, 6168, 423, 257, 10714, 4934, 286, 442, 346, 759, 11, 290, 257, 13035, 3050, 286, 860, 30, 46506, 366, 31007, 1, 16034, 3084, 62, 2425, 29626, 33411, 366, 14565, 4934, 1, 796, 705, 354, 346, 759, 6, 5357, 366, 26961, 3050, 1, 796, 705, 24, 6 ]
What is the number of booking end dates of the apartments with type code 'Duplex' in each year? Return a bar chart, could you show from low to high by the Y-axis?
SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex" ORDER BY COUNT(booking_start_date)
[ 2061, 318, 262, 1271, 286, 25452, 886, 9667, 286, 262, 19592, 351, 2099, 2438, 705, 35, 929, 2588, 6, 287, 1123, 614, 30, 8229, 257, 2318, 8262, 11, 714, 345, 905, 422, 1877, 284, 1029, 416, 262, 575, 12, 22704, 30, 46506, 25452, 62, 437, 62, 4475, 11, 327, 28270, 7, 2070, 278, 62, 437, 62, 4475, 8, 16034, 5949, 1823, 62, 10482, 654, 7054, 309, 16, 32357, 1268, 22596, 902, 7054, 309, 17, 6177, 309, 16, 13, 2373, 62, 312, 796, 309, 17, 13, 2373, 62, 312, 33411, 309, 17, 13, 2373, 62, 4906, 62, 8189, 796, 366, 35 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 25452, 886, 9667, 286, 262, 19592, 351, 2099, 2438, 705, 35, 929, 2588, 6, 287, 1123, 614, 30, 8229, 257, 2318, 8262, 11, 714, 345, 905, 422, 1877, 284, 1029, 416, 262, 575, 12, 22704, 30, 46506, 25452, 62, 437, 62, 4475, 11, 327, 28270, 7, 2070, 278, 62, 437, 62, 4475, 8, 16034, 5949, 1823, 62, 10482, 654, 7054, 309, 16, 32357, 1268, 22596, 902, 7054, 309, 17, 6177, 309, 16, 13, 2373, 62, 312, 796, 309, 17, 13, 2373, 62, 312, 33411, 309, 17, 13, 2373, 62, 4906, 62, 8189, 796, 366, 35 ]
What are the names and budgets of departments with budgets greater than the average?
SELECT dept_name, budget FROM department WHERE budget > (SELECT AVG(budget) FROM department)
[ 2061, 389, 262, 3891, 290, 21011, 286, 13346, 351, 21011, 3744, 621, 262, 2811, 30, 46506, 390, 457, 62, 3672, 11, 4466, 16034, 5011, 33411, 4466, 1875, 357, 46506, 35224, 7, 37315, 8, 16034, 5011, 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 ]
[ 2061, 389, 262, 3891, 290, 21011, 286, 13346, 351, 21011, 3744, 621, 262, 2811, 30, 46506, 390, 457, 62, 3672, 11, 4466, 16034, 5011, 33411, 4466, 1875, 357, 46506, 35224, 7, 37315, 8, 16034, 5011, 8 ]
How many Games have a Score of 2 6, and Points larger than 62?
SELECT COUNT(game) FROM table_name_38 WHERE score = "2–6" AND points > 62
[ 2437, 867, 5776, 423, 257, 15178, 286, 362, 718, 11, 290, 11045, 4025, 621, 8190, 30, 46506, 327, 28270, 7, 6057, 8, 16034, 3084, 62, 3672, 62, 2548, 33411, 4776, 796, 366, 17, 1906, 21, 1, 5357, 2173, 1875, 8190 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5776, 423, 257, 15178, 286, 362, 718, 11, 290, 11045, 4025, 621, 8190, 30, 46506, 327, 28270, 7, 6057, 8, 16034, 3084, 62, 3672, 62, 2548, 33411, 4776, 796, 366, 17, 1906, 21, 1, 5357, 2173, 1875, 8190 ]
what is the number of patients whose ethnicity is black/haitian and drug name is fentanyl citrate?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.drug = "Fentanyl Citrate"
[ 10919, 318, 262, 1271, 286, 3871, 3025, 26289, 318, 2042, 14, 3099, 270, 666, 290, 2563, 1438, 318, 47804, 15433, 4873, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 16728, 13, 38546, 414, 796, 366, 9148, 8120, 14, 7801, 2043, 16868, 1, 5357, 34092, 13, 30349, 796, 366, 37, 41455, 15792, 4873, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 26289, 318, 2042, 14, 3099, 270, 666, 290, 2563, 1438, 318, 47804, 15433, 4873, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 16728, 13, 38546, 414, 796, 366, 9148, 8120, 14, 7801, 2043, 16868, 1, 5357, 34092, 13, 30349, 796, 366, 37, 41455, 15792, 4873, 1 ]
What is the Name of the stage with S. Loeb as the Winner with a Length of 13.04km and a Stage of SS12?
SELECT "Name" FROM table_75047 WHERE "Winner" = 's. loeb' AND "Length" = '13.04km' AND "Stage" = 'ss12'
[ 2061, 318, 262, 6530, 286, 262, 3800, 351, 311, 13, 6706, 1765, 355, 262, 25358, 351, 257, 22313, 286, 1511, 13, 3023, 13276, 290, 257, 15371, 286, 6723, 1065, 30, 46506, 366, 5376, 1, 16034, 3084, 62, 15426, 2857, 33411, 366, 48056, 1, 796, 705, 82, 13, 2376, 1765, 6, 5357, 366, 24539, 1, 796, 705, 1485, 13, 3023, 13276, 6, 5357, 366, 29391, 1, 796, 705, 824, 1065, 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 ]
[ 2061, 318, 262, 6530, 286, 262, 3800, 351, 311, 13, 6706, 1765, 355, 262, 25358, 351, 257, 22313, 286, 1511, 13, 3023, 13276, 290, 257, 15371, 286, 6723, 1065, 30, 46506, 366, 5376, 1, 16034, 3084, 62, 15426, 2857, 33411, 366, 48056, 1, 796, 705, 82, 13, 2376, 1765, 6, 5357, 366, 24539, 1, 796, 705, 1485, 13, 3023, 13276, 6, 5357, 366, 29391, 1, 796, 705, 824, 1065, 6 ]
Median response time by tag.
WITH my_table AS (SELECT T.TagName, CAST((JULIANDAY(CreationDate) - JULIANDAY(P.CreationDate)) * 1440.0 AS INT) AS ResponseMinutes FROM Posts AS P INNER JOIN Posts AS A ON P.AcceptedAnswerId = A.Id INNER JOIN PostTags AS PT ON P.Id = PT.PostId INNER JOIN Tags AS T ON T.Id = PT.TagId WHERE P.PostTypeId = 1 AND (T.TagName = 'microsoftgraph') AND p.AnswerCount > 0 AND P.CreationDate > '2016-05-01 00:00:00' AND p.CreationDate < '2016-11-01 00:00:00') SELECT DISTINCT TagName, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ResponseMinutes) OVER (PARTITION BY TagName) AS Median FROM my_table
[ 9921, 666, 2882, 640, 416, 7621, 13, 54, 10554, 616, 62, 11487, 7054, 357, 46506, 309, 13, 24835, 5376, 11, 327, 11262, 19510, 41, 6239, 40, 6981, 4792, 7, 12443, 341, 10430, 8, 532, 49349, 40, 6981, 4792, 7, 47, 13, 12443, 341, 10430, 4008, 1635, 49557, 13, 15, 7054, 17828, 8, 7054, 18261, 9452, 1769, 16034, 12043, 7054, 350, 3268, 21479, 32357, 1268, 12043, 7054, 317, 6177, 350, 13, 38855, 276, 33706, 7390, 796, 317, 13, 7390, 3268, 21479, 32357, 1268, 2947, 36142, 7054, 19310, 6177, 350, 13, 7390, 796, 19310, 13, 6307, 7390, 3268, 21479, 32357, 1268, 44789 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9921, 666, 2882, 640, 416, 7621, 13, 54, 10554, 616, 62, 11487, 7054, 357, 46506, 309, 13, 24835, 5376, 11, 327, 11262, 19510, 41, 6239, 40, 6981, 4792, 7, 12443, 341, 10430, 8, 532, 49349, 40, 6981, 4792, 7, 47, 13, 12443, 341, 10430, 4008, 1635, 49557, 13, 15, 7054, 17828, 8, 7054, 18261, 9452, 1769, 16034, 12043, 7054, 350, 3268, 21479, 32357, 1268, 12043, 7054, 317, 6177, 350, 13, 38855, 276, 33706, 7390, 796, 317, 13, 7390, 3268, 21479, 32357, 1268, 2947, 36142, 7054, 19310, 6177, 350, 13, 7390, 796, 19310, 13, 6307, 7390, 3268, 21479, 32357, 1268, 44789 ]
give me the number of office admitted patients who had endoscopic retrograde cholangiopancreatography procedure.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.short_title = "Endosc retro cholangiopa"
[ 26535, 502, 262, 1271, 286, 2607, 6848, 3871, 508, 550, 886, 48228, 12175, 9526, 442, 349, 648, 14922, 1192, 630, 4867, 8771, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 24886, 796, 366, 5097, 1268, 2149, 4526, 24302, 35296, 14, 47, 40726, 40086, 1, 5357, 9021, 13, 19509, 62, 7839, 796, 366, 12915, 17500, 12175, 442, 349, 648, 14922, 64, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2607, 6848, 3871, 508, 550, 886, 48228, 12175, 9526, 442, 349, 648, 14922, 1192, 630, 4867, 8771, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 3411, 62, 24886, 796, 366, 5097, 1268, 2149, 4526, 24302, 35296, 14, 47, 40726, 40086, 1, 5357, 9021, 13, 19509, 62, 7839, 796, 366, 12915, 17500, 12175, 442, 349, 648, 14922, 64, 1 ]
When the apparent magnitude is 10.5, what is the right ascension?
SELECT right_ascension___j2000__ FROM table_name_71 WHERE apparent_magnitude = 10.5
[ 2215, 262, 4156, 14735, 318, 838, 13, 20, 11, 644, 318, 262, 826, 10570, 3004, 30, 46506, 826, 62, 3372, 3004, 17569, 73, 11024, 834, 16034, 3084, 62, 3672, 62, 4869, 33411, 4156, 62, 76, 4660, 3984, 796, 838, 13, 20 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4156, 14735, 318, 838, 13, 20, 11, 644, 318, 262, 826, 10570, 3004, 30, 46506, 826, 62, 3372, 3004, 17569, 73, 11024, 834, 16034, 3084, 62, 3672, 62, 4869, 33411, 4156, 62, 76, 4660, 3984, 796, 838, 13, 20 ]
For those records from the products and each product's manufacturer, show me about the distribution of name and price , and group by attribute name in a bar chart, sort Name from high to low order.
SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Name DESC
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 905, 502, 546, 262, 6082, 286, 1438, 290, 2756, 837, 290, 1448, 416, 11688, 1438, 287, 257, 2318, 8262, 11, 3297, 6530, 422, 1029, 284, 1877, 1502, 13, 46506, 309, 16, 13, 5376, 11, 309, 16, 13, 18124, 16034, 18675, 7054, 309, 16, 32357, 1268, 17858, 17496, 7054, 309, 17, 6177, 309, 16, 13, 44445, 15051, 796, 309, 17, 13, 10669, 44441, 11050, 309, 16, 13, 5376, 11, 309, 16, 13, 5376, 38678, 11050, 309, 16, 13, 5376, 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 ]
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 905, 502, 546, 262, 6082, 286, 1438, 290, 2756, 837, 290, 1448, 416, 11688, 1438, 287, 257, 2318, 8262, 11, 3297, 6530, 422, 1029, 284, 1877, 1502, 13, 46506, 309, 16, 13, 5376, 11, 309, 16, 13, 18124, 16034, 18675, 7054, 309, 16, 32357, 1268, 17858, 17496, 7054, 309, 17, 6177, 309, 16, 13, 44445, 15051, 796, 309, 17, 13, 10669, 44441, 11050, 309, 16, 13, 5376, 11, 309, 16, 13, 5376, 38678, 11050, 309, 16, 13, 5376, 22196, 34 ]
Tell me the build year for total production of 150
SELECT build_year FROM table_name_44 WHERE total_production = 150
[ 24446, 502, 262, 1382, 614, 329, 2472, 3227, 286, 6640, 46506, 1382, 62, 1941, 16034, 3084, 62, 3672, 62, 2598, 33411, 2472, 62, 25493, 796, 6640 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 24446, 502, 262, 1382, 614, 329, 2472, 3227, 286, 6640, 46506, 1382, 62, 1941, 16034, 3084, 62, 3672, 62, 2598, 33411, 2472, 62, 25493, 796, 6640 ]
how many patients whose language is span and age is less than 70?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.age < "70"
[ 4919, 867, 3871, 3025, 3303, 318, 11506, 290, 2479, 318, 1342, 621, 4317, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 16129, 796, 366, 4303, 1565, 1, 5357, 16728, 13, 496, 1279, 366, 2154, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3303, 318, 11506, 290, 2479, 318, 1342, 621, 4317, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 16129, 796, 366, 4303, 1565, 1, 5357, 16728, 13, 496, 1279, 366, 2154, 1 ]
What's the number of byes for someone who had 7 wins and an against number greater than 1412?
SELECT SUM(byes) FROM table_name_85 WHERE wins = 7 AND against > 1412
[ 2061, 338, 262, 1271, 286, 416, 274, 329, 2130, 508, 550, 767, 7864, 290, 281, 1028, 1271, 3744, 621, 1478, 1065, 30, 46506, 35683, 7, 1525, 274, 8, 16034, 3084, 62, 3672, 62, 5332, 33411, 7864, 796, 767, 5357, 1028, 1875, 1478, 1065 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 416, 274, 329, 2130, 508, 550, 767, 7864, 290, 281, 1028, 1271, 3744, 621, 1478, 1065, 30, 46506, 35683, 7, 1525, 274, 8, 16034, 3084, 62, 3672, 62, 5332, 33411, 7864, 796, 767, 5357, 1028, 1875, 1478, 1065 ]
How many customers have email that contains 'gmail.com'?
SELECT COUNT(*) FROM customer WHERE email LIKE "%gmail.com%"
[ 2437, 867, 4297, 423, 3053, 326, 4909, 705, 14816, 13, 785, 30960, 46506, 327, 28270, 7, 28104, 16034, 6491, 33411, 3053, 34178, 36521, 14816, 13, 785, 39658 ]
[ 1, 1, 1, 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, 4297, 423, 3053, 326, 4909, 705, 14816, 13, 785, 30960, 46506, 327, 28270, 7, 28104, 16034, 6491, 33411, 3053, 34178, 36521, 14816, 13, 785, 39658 ]
Questions per month top 10 tags compared. How many questions per month does each tag in the top 10 tags get
SELECT TagName, Count, Body FROM Tags INNER JOIN Posts ON Tags.ExcerptPostId = Posts.Id ORDER BY Count DESC LIMIT 100
[ 35741, 583, 1227, 1353, 838, 15940, 3688, 13, 1374, 867, 2683, 583, 1227, 857, 1123, 7621, 287, 262, 1353, 838, 15940, 651, 46506, 17467, 5376, 11, 2764, 11, 12290, 16034, 44789, 3268, 21479, 32357, 1268, 12043, 6177, 44789, 13, 3109, 17040, 6307, 7390, 796, 12043, 13, 7390, 38678, 11050, 2764, 22196, 34, 27564, 2043, 1802 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 35741, 583, 1227, 1353, 838, 15940, 3688, 13, 1374, 867, 2683, 583, 1227, 857, 1123, 7621, 287, 262, 1353, 838, 15940, 651, 46506, 17467, 5376, 11, 2764, 11, 12290, 16034, 44789, 3268, 21479, 32357, 1268, 12043, 6177, 44789, 13, 3109, 17040, 6307, 7390, 796, 12043, 13, 7390, 38678, 11050, 2764, 22196, 34, 27564, 2043, 1802 ]
Which Sanskrit has an English of mindfulness of breathing?
SELECT "Sanskrit" FROM table_45207 WHERE "English" = 'mindfulness of breathing'
[ 13828, 46178, 468, 281, 3594, 286, 35502, 286, 12704, 30, 46506, 366, 50, 34738, 799, 1, 16034, 3084, 62, 2231, 22745, 33411, 366, 15823, 1, 796, 705, 10155, 15538, 286, 12704, 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 ]
[ 13828, 46178, 468, 281, 3594, 286, 35502, 286, 12704, 30, 46506, 366, 50, 34738, 799, 1, 16034, 3084, 62, 2231, 22745, 33411, 366, 15823, 1, 796, 705, 10155, 15538, 286, 12704, 6 ]
what's the imperial that contains a jyutping of cin4?
SELECT "Imperial value" FROM table_38997 WHERE "Jyutping" = 'cin4'
[ 10919, 338, 262, 14312, 326, 4909, 257, 474, 88, 315, 13886, 286, 269, 259, 19, 30, 46506, 366, 3546, 7629, 1988, 1, 16034, 3084, 62, 2548, 39647, 33411, 366, 41, 88, 315, 13886, 1, 796, 705, 17879, 19, 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 ]
[ 10919, 338, 262, 14312, 326, 4909, 257, 474, 88, 315, 13886, 286, 269, 259, 19, 30, 46506, 366, 3546, 7629, 1988, 1, 16034, 3084, 62, 2548, 39647, 33411, 366, 41, 88, 315, 13886, 1, 796, 705, 17879, 19, 6 ]
Which tournament had a clay surface and a score of 6 1, 3 6, 6 2?
SELECT "Tournament" FROM table_60931 WHERE "Surface" = 'clay' AND "Score in the final" = '6–1, 3–6, 6–2'
[ 13828, 7756, 550, 257, 21558, 4417, 290, 257, 4776, 286, 718, 352, 11, 513, 718, 11, 718, 362, 30, 46506, 366, 51, 5138, 1, 16034, 3084, 62, 31751, 3132, 33411, 366, 14214, 2550, 1, 796, 705, 565, 323, 6, 5357, 366, 26595, 287, 262, 2457, 1, 796, 705, 21, 1906, 16, 11, 513, 1906, 21, 11, 718, 1906, 17, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7756, 550, 257, 21558, 4417, 290, 257, 4776, 286, 718, 352, 11, 513, 718, 11, 718, 362, 30, 46506, 366, 51, 5138, 1, 16034, 3084, 62, 31751, 3132, 33411, 366, 14214, 2550, 1, 796, 705, 565, 323, 6, 5357, 366, 26595, 287, 262, 2457, 1, 796, 705, 21, 1906, 16, 11, 513, 1906, 21, 11, 718, 1906, 17, 6 ]
provide the number of patients who are on ed route of drug administration and have diagnoses icd9 code 6929.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "6929" AND prescriptions.route = "ED"
[ 15234, 485, 262, 1271, 286, 3871, 508, 389, 319, 1225, 6339, 286, 2563, 3662, 290, 423, 40567, 14158, 67, 24, 2438, 8644, 1959, 13, 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, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 3388, 1959, 1, 5357, 34092, 13, 38629, 796, 366, 1961, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 508, 389, 319, 1225, 6339, 286, 2563, 3662, 290, 423, 40567, 14158, 67, 24, 2438, 8644, 1959, 13, 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, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 40567, 13, 291, 67, 24, 62, 8189, 796, 366, 3388, 1959, 1, 5357, 34092, 13, 38629, 796, 366, 1961, 1 ]
how many patients have stayed in the hospital for more than 27 days and whose discharge location was rehab/distinct part hospital?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND demographic.days_stay > "27"
[ 4919, 867, 3871, 423, 9658, 287, 262, 4436, 329, 517, 621, 2681, 1528, 290, 3025, 17655, 4067, 373, 14321, 14, 17080, 4612, 636, 4436, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 2200, 39, 6242, 14, 35, 8808, 1268, 4177, 16652, 367, 47053, 1, 5357, 16728, 13, 12545, 62, 31712, 1875, 366, 1983, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2681, 1528, 290, 3025, 17655, 4067, 373, 14321, 14, 17080, 4612, 636, 4436, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 6381, 10136, 62, 24886, 796, 366, 2200, 39, 6242, 14, 35, 8808, 1268, 4177, 16652, 367, 47053, 1, 5357, 16728, 13, 12545, 62, 31712, 1875, 366, 1983, 1 ]