instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
list
attention_mask
list
labels
list
who was the last head of medici ?
SELECT "name" FROM table_203_421 ORDER BY "from" DESC LIMIT 1
[ 8727, 373, 262, 938, 1182, 286, 6924, 72, 5633, 46506, 366, 3672, 1, 16034, 3084, 62, 22416, 62, 46636, 38678, 11050, 366, 6738, 1, 22196, 34, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8727, 373, 262, 938, 1182, 286, 6924, 72, 5633, 46506, 366, 3672, 1, 16034, 3084, 62, 22416, 62, 46636, 38678, 11050, 366, 6738, 1, 22196, 34, 27564, 2043, 352 ]
How many fatalities were there in the crash described as crashed at take-off due to engine failure?
SELECT fatalities FROM table_229917_2 WHERE brief_description = "Crashed at take-off due to engine failure"
[ 2437, 867, 30091, 547, 612, 287, 262, 7014, 3417, 355, 14997, 379, 1011, 12, 2364, 2233, 284, 3113, 5287, 30, 46506, 30091, 16034, 3084, 62, 1828, 2079, 1558, 62, 17, 33411, 4506, 62, 11213, 796, 366, 13916, 5263, 379, 1011, 12, 2364, 2233, 284, 3113, 5287, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 30091, 547, 612, 287, 262, 7014, 3417, 355, 14997, 379, 1011, 12, 2364, 2233, 284, 3113, 5287, 30, 46506, 30091, 16034, 3084, 62, 1828, 2079, 1558, 62, 17, 33411, 4506, 62, 11213, 796, 366, 13916, 5263, 379, 1011, 12, 2364, 2233, 284, 3113, 5287, 1 ]
Draw a line chart for what is the average prices of wines for each each?, and show in desc by the x-axis.
SELECT Year, AVG(Price) FROM wine GROUP BY Year ORDER BY Year DESC
[ 25302, 257, 1627, 8262, 329, 644, 318, 262, 2811, 4536, 286, 30680, 329, 1123, 1123, 21747, 290, 905, 287, 1715, 416, 262, 2124, 12, 22704, 13, 46506, 6280, 11, 35224, 7, 18124, 8, 16034, 8237, 44441, 11050, 6280, 38678, 11050, 6280, 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 ]
[ 25302, 257, 1627, 8262, 329, 644, 318, 262, 2811, 4536, 286, 30680, 329, 1123, 1123, 21747, 290, 905, 287, 1715, 416, 262, 2124, 12, 22704, 13, 46506, 6280, 11, 35224, 7, 18124, 8, 16034, 8237, 44441, 11050, 6280, 38678, 11050, 6280, 22196, 34 ]
At what venue was the away team score 3.11 (29)?
SELECT "Venue" FROM table_4844 WHERE "Away team score" = '3.11 (29)'
[ 2953, 644, 14359, 373, 262, 1497, 1074, 4776, 513, 13, 1157, 357, 1959, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 2780, 2598, 33411, 366, 32, 1014, 1074, 4776, 1, 796, 705, 18, 13, 1157, 357, 1959, 33047 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2953, 644, 14359, 373, 262, 1497, 1074, 4776, 513, 13, 1157, 357, 1959, 19427, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 2780, 2598, 33411, 366, 32, 1014, 1074, 4776, 1, 796, 705, 18, 13, 1157, 357, 1959, 33047 ]
What is the Date of the Event in Punta del Este?
SELECT "Date" FROM table_49359 WHERE "City" = 'punta del este'
[ 2061, 318, 262, 7536, 286, 262, 8558, 287, 350, 44424, 1619, 412, 4169, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 2920, 30743, 33411, 366, 14941, 1, 796, 705, 79, 44424, 1619, 43577, 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, 318, 262, 7536, 286, 262, 8558, 287, 350, 44424, 1619, 412, 4169, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 2920, 30743, 33411, 366, 14941, 1, 796, 705, 79, 44424, 1619, 43577, 6 ]
What is the Attendance of Game 24?
SELECT SUM(attendance) FROM table_name_94 WHERE game = 24
[ 2061, 318, 262, 46502, 590, 286, 3776, 1987, 30, 46506, 35683, 7, 1078, 437, 590, 8, 16034, 3084, 62, 3672, 62, 5824, 33411, 983, 796, 1987 ]
[ 1, 1, 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, 46502, 590, 286, 3776, 1987, 30, 46506, 35683, 7, 1078, 437, 590, 8, 16034, 3084, 62, 3672, 62, 5824, 33411, 983, 796, 1987 ]
what was the first drug prescribed to patient 31696 since 62 months ago via the ou route?
SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31696) AND prescriptions.route = 'ou' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-62 month') ORDER BY prescriptions.startdate LIMIT 1
[ 10919, 373, 262, 717, 2563, 14798, 284, 5827, 34131, 4846, 1201, 8190, 1933, 2084, 2884, 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, 34131, 4846, 8, 5357, 34092, 13, 38629, 796, 705, 280, 6, 5357, 360, 1404, 2767, 12789, 7, 18302, 24370, 13, 9688, 4475, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 5237, 1227, 11537, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 262, 717, 2563, 14798, 284, 5827, 34131, 4846, 1201, 8190, 1933, 2084, 2884, 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, 34131, 4846, 8, 5357, 34092, 13, 38629, 796, 705, 280, 6, 5357, 360, 1404, 2767, 12789, 7, 18302, 24370, 13, 9688, 4475, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 5237, 1227, 11537, 38678, 11050, 34092, 13, 9688, 4475, 27564, 2043, 352 ]
Who was the director for episodes that were written be Matthew Lau?
SELECT directed_by FROM table_25740548_2 WHERE written_by = "Matthew Lau"
[ 8241, 373, 262, 3437, 329, 8640, 326, 547, 3194, 307, 9308, 40014, 30, 46506, 7924, 62, 1525, 16034, 3084, 62, 28676, 26598, 2780, 62, 17, 33411, 3194, 62, 1525, 796, 366, 25372, 40014, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 373, 262, 3437, 329, 8640, 326, 547, 3194, 307, 9308, 40014, 30, 46506, 7924, 62, 1525, 16034, 3084, 62, 28676, 26598, 2780, 62, 17, 33411, 3194, 62, 1525, 796, 366, 25372, 40014, 1 ]
What is the record for the game against New England Patriots at the Rich Stadium?
SELECT record FROM table_name_89 WHERE game_site = "rich stadium" AND opponent = "new england patriots"
[ 2061, 318, 262, 1700, 329, 262, 983, 1028, 968, 4492, 13104, 379, 262, 3998, 10499, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 4531, 33411, 983, 62, 15654, 796, 366, 7527, 10308, 1, 5357, 6125, 796, 366, 3605, 1786, 1044, 12650, 1747, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1700, 329, 262, 983, 1028, 968, 4492, 13104, 379, 262, 3998, 10499, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 4531, 33411, 983, 62, 15654, 796, 366, 7527, 10308, 1, 5357, 6125, 796, 366, 3605, 1786, 1044, 12650, 1747, 1 ]
For those employees who was hired before 2002-06-21, find job_id and the average of employee_id , and group by attribute job_id, and visualize them by a bar chart, and I want to sort y-axis in descending order.
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) DESC
[ 1890, 883, 4409, 508, 373, 9657, 878, 6244, 12, 3312, 12, 2481, 11, 1064, 1693, 62, 312, 290, 262, 2811, 286, 6538, 62, 312, 837, 290, 1448, 416, 11688, 1693, 62, 312, 11, 290, 38350, 606, 416, 257, 2318, 8262, 11, 290, 314, 765, 284, 3297, 331, 12, 22704, 287, 31491, 1502, 13, 46506, 449, 9864, 62, 2389, 11, 35224, 7, 3620, 6489, 21414, 6500, 62, 2389, 8, 16034, 4409, 33411, 36210, 2200, 62, 35, 6158, 1279, 705, 16942, 12, 3312, 12, 2481, 6, 44441, 11050, 449, 9864, 62, 2389, 38678, 11050, 35224, 7, 3620, 6489, 21414, 6500, 62, 2389 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 373, 9657, 878, 6244, 12, 3312, 12, 2481, 11, 1064, 1693, 62, 312, 290, 262, 2811, 286, 6538, 62, 312, 837, 290, 1448, 416, 11688, 1693, 62, 312, 11, 290, 38350, 606, 416, 257, 2318, 8262, 11, 290, 314, 765, 284, 3297, 331, 12, 22704, 287, 31491, 1502, 13, 46506, 449, 9864, 62, 2389, 11, 35224, 7, 3620, 6489, 21414, 6500, 62, 2389, 8, 16034, 4409, 33411, 36210, 2200, 62, 35, 6158, 1279, 705, 16942, 12, 3312, 12, 2481, 6, 44441, 11050, 449, 9864, 62, 2389, 38678, 11050, 35224, 7, 3620, 6489, 21414, 6500, 62, 2389 ]
has patient 005-12192 been given any ffp intake until 959 days ago?
SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-12192')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'ffp' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-959 day')
[ 10134, 5827, 3571, 20, 12, 1065, 17477, 587, 1813, 597, 31246, 79, 10337, 1566, 860, 3270, 1528, 2084, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 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, 22544, 12, 1065, 17477, 6, 4008, 5357, 10337, 22915, 13, 3846, 6978, 34178, 705, 4, 600, 539, 4, 6, 5357, 10337, 22915, 13 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10134, 5827, 3571, 20, 12, 1065, 17477, 587, 1813, 597, 31246, 79, 10337, 1566, 860, 3270, 1528, 2084, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 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, 22544, 12, 1065, 17477, 6, 4008, 5357, 10337, 22915, 13, 3846, 6978, 34178, 705, 4, 600, 539, 4, 6, 5357, 10337, 22915, 13 ]
what flights do you have between PITTSBURGH and ATLANTA
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
[ 10919, 13956, 466, 345, 423, 1022, 49040, 4694, 38926, 17511, 290, 41051, 8643, 11159, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 27993, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 47, 2043, 4694, 38926, 17511, 6, 5357, 27993 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 13956, 466, 345, 423, 1022, 49040, 4694, 38926, 17511, 290, 41051, 8643, 11159, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 27993, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 47, 2043, 4694, 38926, 17511, 6, 5357, 27993 ]
show me all flights from SAN FRANCISCO to ATLANTA
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
[ 12860, 502, 477, 13956, 422, 37376, 8782, 20940, 1797, 8220, 284, 41051, 8643, 11159, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 27993, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 36753, 8782, 20940, 1797, 8220, 6, 5357, 27993 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 12860, 502, 477, 13956, 422, 37376, 8782, 20940, 1797, 8220, 284, 41051, 8643, 11159, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 5474, 33411, 27993, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 36753, 8782, 20940, 1797, 8220, 6, 5357, 27993 ]
A bar chart about what is the project id and detail for the project with at least two documents?, and show by the Y-axis in ascending.
SELECT T1.Project_Details, T1.Project_ID FROM Projects AS T1 JOIN Documents AS T2 ON T1.Project_ID = T2.Project_ID ORDER BY T1.Project_ID
[ 32, 2318, 8262, 546, 644, 318, 262, 1628, 4686, 290, 3703, 329, 262, 1628, 351, 379, 1551, 734, 4963, 21747, 290, 905, 416, 262, 575, 12, 22704, 287, 41988, 13, 46506, 309, 16, 13, 16775, 62, 24259, 11, 309, 16, 13, 16775, 62, 2389, 16034, 29898, 7054, 309, 16, 32357, 1268, 33267, 7054, 309, 17, 6177, 309, 16, 13, 16775, 62, 2389, 796, 309, 17, 13, 16775, 62, 2389, 38678, 11050, 309, 16, 13, 16775, 62, 2389 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2318, 8262, 546, 644, 318, 262, 1628, 4686, 290, 3703, 329, 262, 1628, 351, 379, 1551, 734, 4963, 21747, 290, 905, 416, 262, 575, 12, 22704, 287, 41988, 13, 46506, 309, 16, 13, 16775, 62, 24259, 11, 309, 16, 13, 16775, 62, 2389, 16034, 29898, 7054, 309, 16, 32357, 1268, 33267, 7054, 309, 17, 6177, 309, 16, 13, 16775, 62, 2389, 796, 309, 17, 13, 16775, 62, 2389, 38678, 11050, 309, 16, 13, 16775, 62, 2389 ]
count the number of patients whose admission type is urgent and procedure long title is arteriography of other intra-abdominal arteries.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.long_title = "Arteriography of other intra-abdominal arteries"
[ 9127, 262, 1271, 286, 3871, 3025, 13938, 2099, 318, 18039, 290, 8771, 890, 3670, 318, 30675, 72, 4867, 286, 584, 23422, 12, 397, 3438, 1292, 45894, 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, 4906, 796, 366, 4261, 38, 3525, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 3163, 353, 72, 4867, 286, 584, 23422, 12, 397, 3438, 1292, 45894, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13938, 2099, 318, 18039, 290, 8771, 890, 3670, 318, 30675, 72, 4867, 286, 584, 23422, 12, 397, 3438, 1292, 45894, 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, 4906, 796, 366, 4261, 38, 3525, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 3163, 353, 72, 4867, 286, 584, 23422, 12, 397, 3438, 1292, 45894, 1 ]
What is the series episode number that is larger than 262 and has a Segment A entry of Aluminium s canoe?
SELECT series_ep FROM table_name_60 WHERE episode > 262 AND segment_a = "aluminium s canoe"
[ 2061, 318, 262, 2168, 4471, 1271, 326, 318, 4025, 621, 35404, 290, 468, 257, 1001, 5154, 317, 5726, 286, 978, 35241, 264, 47434, 30, 46506, 2168, 62, 538, 16034, 3084, 62, 3672, 62, 1899, 33411, 4471, 1875, 35404, 5357, 10618, 62, 64, 796, 366, 282, 35241, 264, 47434, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2168, 4471, 1271, 326, 318, 4025, 621, 35404, 290, 468, 257, 1001, 5154, 317, 5726, 286, 978, 35241, 264, 47434, 30, 46506, 2168, 62, 538, 16034, 3084, 62, 3672, 62, 1899, 33411, 4471, 1875, 35404, 5357, 10618, 62, 64, 796, 366, 282, 35241, 264, 47434, 1 ]
What is the Date of Week 5?
SELECT date FROM table_name_3 WHERE week = 5
[ 2061, 318, 262, 7536, 286, 6119, 642, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 18, 33411, 1285, 796, 642 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 7536, 286, 6119, 642, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 18, 33411, 1285, 796, 642 ]
BIOMATLS 990 is what ?
SELECT DISTINCT description, name FROM course WHERE department = 'BIOMATLS' AND number = 990
[ 3483, 2662, 1404, 6561, 860, 3829, 318, 644, 5633, 46506, 360, 8808, 1268, 4177, 6764, 11, 1438, 16034, 1781, 33411, 5011, 796, 705, 3483, 2662, 1404, 6561, 6, 5357, 1271, 796, 860, 3829 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 3483, 2662, 1404, 6561, 860, 3829, 318, 644, 5633, 46506, 360, 8808, 1268, 4177, 6764, 11, 1438, 16034, 1781, 33411, 5011, 796, 705, 3483, 2662, 1404, 6561, 6, 5357, 1271, 796, 860, 3829 ]
Who played as the away team when they played at Brunswick Street Oval?
SELECT away_team FROM table_name_73 WHERE venue = "brunswick street oval"
[ 8241, 2826, 355, 262, 1497, 1074, 618, 484, 2826, 379, 32211, 3530, 25165, 30, 46506, 1497, 62, 15097, 16034, 3084, 62, 3672, 62, 4790, 33411, 14359, 796, 366, 1671, 403, 30961, 4675, 41186, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2826, 355, 262, 1497, 1074, 618, 484, 2826, 379, 32211, 3530, 25165, 30, 46506, 1497, 62, 15097, 16034, 3084, 62, 3672, 62, 4790, 33411, 14359, 796, 366, 1671, 403, 30961, 4675, 41186, 1 ]
On September 10, 1989 how many people attended the game?
SELECT "Attendance" FROM table_76365 WHERE "Date" = 'september 10, 1989'
[ 2202, 2693, 838, 11, 11104, 703, 867, 661, 9141, 262, 983, 30, 46506, 366, 8086, 437, 590, 1, 16034, 3084, 62, 4304, 24760, 33411, 366, 10430, 1, 796, 705, 325, 457, 1491, 838, 11, 11104, 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 ]
[ 2202, 2693, 838, 11, 11104, 703, 867, 661, 9141, 262, 983, 30, 46506, 366, 8086, 437, 590, 1, 16034, 3084, 62, 4304, 24760, 33411, 366, 10430, 1, 796, 705, 325, 457, 1491, 838, 11, 11104, 6 ]
In what years did a movie receive a 4 or 5 star rating, and list the years from oldest to most recently, and count them by a line chart
SELECT year, COUNT(year) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID WHERE T2.stars >= 4 ORDER BY T1.year
[ 818, 644, 812, 750, 257, 3807, 3328, 257, 604, 393, 642, 3491, 7955, 11, 290, 1351, 262, 812, 422, 13325, 284, 749, 2904, 11, 290, 954, 606, 416, 257, 1627, 8262, 46506, 614, 11, 327, 28270, 7, 1941, 8, 16034, 15875, 7054, 309, 16, 32357, 1268, 12028, 7054, 309, 17, 6177, 309, 16, 13, 76, 2389, 796, 309, 17, 13, 76, 2389, 33411, 309, 17, 13, 30783, 18189, 604, 38678, 11050, 309, 16, 13, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 818, 644, 812, 750, 257, 3807, 3328, 257, 604, 393, 642, 3491, 7955, 11, 290, 1351, 262, 812, 422, 13325, 284, 749, 2904, 11, 290, 954, 606, 416, 257, 1627, 8262, 46506, 614, 11, 327, 28270, 7, 1941, 8, 16034, 15875, 7054, 309, 16, 32357, 1268, 12028, 7054, 309, 17, 6177, 309, 16, 13, 76, 2389, 796, 309, 17, 13, 76, 2389, 33411, 309, 17, 13, 30783, 18189, 604, 38678, 11050, 309, 16, 13, 1941 ]
Return a line chart about the change of the amount of date_address_to over date_address_to , and group by attribute other_details.
SELECT date_address_to, COUNT(date_address_to) FROM Student_Addresses GROUP BY other_details, date_address_to ORDER BY monthly_rental DESC
[ 13615, 257, 1627, 8262, 546, 262, 1487, 286, 262, 2033, 286, 3128, 62, 21975, 62, 1462, 625, 3128, 62, 21975, 62, 1462, 837, 290, 1448, 416, 11688, 584, 62, 36604, 13, 46506, 3128, 62, 21975, 62, 1462, 11, 327, 28270, 7, 4475, 62, 21975, 62, 1462, 8, 16034, 13613, 62, 4550, 16746, 44441, 11050, 584, 62, 36604, 11, 3128, 62, 21975, 62, 1462, 38678, 11050, 9651, 62, 1156, 282, 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 ]
[ 13615, 257, 1627, 8262, 546, 262, 1487, 286, 262, 2033, 286, 3128, 62, 21975, 62, 1462, 625, 3128, 62, 21975, 62, 1462, 837, 290, 1448, 416, 11688, 584, 62, 36604, 13, 46506, 3128, 62, 21975, 62, 1462, 11, 327, 28270, 7, 4475, 62, 21975, 62, 1462, 8, 16034, 13613, 62, 4550, 16746, 44441, 11050, 584, 62, 36604, 11, 3128, 62, 21975, 62, 1462, 38678, 11050, 9651, 62, 1156, 282, 22196, 34 ]
For those records from the products and each product's manufacturer, give me the comparison about the average of manufacturer over the name , and group by attribute name by a bar chart, order by the names in ascending.
SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 1577, 502, 262, 7208, 546, 262, 2811, 286, 11554, 625, 262, 1438, 837, 290, 1448, 416, 11688, 1438, 416, 257, 2318, 8262, 11, 1502, 416, 262, 3891, 287, 41988, 13, 46506, 309, 16, 13, 5376, 11, 309, 16, 13, 44445, 15051, 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, 38678, 11050, 309, 16, 13, 5376 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 1577, 502, 262, 7208, 546, 262, 2811, 286, 11554, 625, 262, 1438, 837, 290, 1448, 416, 11688, 1438, 416, 257, 2318, 8262, 11, 1502, 416, 262, 3891, 287, 41988, 13, 46506, 309, 16, 13, 5376, 11, 309, 16, 13, 44445, 15051, 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, 38678, 11050, 309, 16, 13, 5376 ]
Show the card type codes and the number of transactions. Visualize by bar chart.
SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code
[ 15307, 262, 2657, 2099, 12416, 290, 262, 1271, 286, 8945, 13, 15612, 1096, 416, 2318, 8262, 13, 46506, 2657, 62, 4906, 62, 8189, 11, 327, 28270, 7, 28104, 16034, 11302, 62, 8291, 4658, 7054, 309, 16, 32357, 1268, 36707, 62, 34, 1371, 7054, 309, 17, 6177, 309, 16, 13, 9517, 62, 312, 796, 309, 17, 13, 9517, 62, 312, 44441, 11050, 309, 17, 13, 9517, 62, 4906, 62, 8189 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 262, 2657, 2099, 12416, 290, 262, 1271, 286, 8945, 13, 15612, 1096, 416, 2318, 8262, 13, 46506, 2657, 62, 4906, 62, 8189, 11, 327, 28270, 7, 28104, 16034, 11302, 62, 8291, 4658, 7054, 309, 16, 32357, 1268, 36707, 62, 34, 1371, 7054, 309, 17, 6177, 309, 16, 13, 9517, 62, 312, 796, 309, 17, 13, 9517, 62, 312, 44441, 11050, 309, 17, 13, 9517, 62, 4906, 62, 8189 ]
What are the alternative names of those satellites where the notes are: mission failed. guidance system failed. no orbit.
SELECT "Alt. Name" FROM table_22838 WHERE "Notes" = 'Mission failed. Guidance system failed. No orbit.'
[ 2061, 389, 262, 5559, 3891, 286, 883, 20372, 810, 262, 4710, 389, 25, 4365, 4054, 13, 11154, 1080, 4054, 13, 645, 13066, 13, 46506, 366, 29161, 13, 6530, 1, 16034, 3084, 62, 23815, 2548, 33411, 366, 16130, 1, 796, 705, 37057, 4054, 13, 37026, 590, 1080, 4054, 13, 1400, 13066, 2637 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5559, 3891, 286, 883, 20372, 810, 262, 4710, 389, 25, 4365, 4054, 13, 11154, 1080, 4054, 13, 645, 13066, 13, 46506, 366, 29161, 13, 6530, 1, 16034, 3084, 62, 23815, 2548, 33411, 366, 16130, 1, 796, 705, 37057, 4054, 13, 37026, 590, 1080, 4054, 13, 1400, 13066, 2637 ]
Close Rate for Questions Beginning with 'I'.
WITH A AS (SELECT LAST_DATE_OF_MONTH(CreationDate) AS CreationMonth, Id, ClosedDate, CASE WHEN Body LIKE '<p>I_''%' OR Body LIKE '<p>IM %' THEN 1 END AS StartsWITHI FROM Posts WHERE PostTypeId = 1) SELECT CreationMonth, (COUNT(CASE WHEN NOT ClosedDate IS NULL AND NOT StartsWITHI IS NULL THEN 1 END) * 1.0) / (COUNT(StartsWITHI) * 1.0) AS IClosed, (COUNT(CASE WHEN NOT ClosedDate IS NULL AND StartsWITHI IS NULL THEN 1 END) * 1.0) / (COUNT(CASE WHEN StartsWITHI IS NULL THEN 1 END) * 1.0) AS NotIClosed FROM A GROUP BY CreationMonth HAVING COUNT(StartsWITHI) != 0 AND COUNT(CASE WHEN StartsWITHI IS NULL THEN 1 END) != 0 ORDER BY CreationMonth
[ 26125, 14806, 329, 20396, 25976, 351, 705, 40, 4458, 54, 10554, 317, 7054, 357, 46506, 41894, 62, 35, 6158, 62, 19238, 62, 27857, 4221, 7, 12443, 341, 10430, 8, 7054, 21582, 31948, 11, 5121, 11, 30550, 10430, 11, 42001, 42099, 12290, 34178, 705, 27, 79, 29, 40, 62, 7061, 4, 6, 6375, 12290, 34178, 705, 27, 79, 29, 3955, 4064, 6, 42243, 352, 23578, 7054, 50181, 54, 10554, 40, 16034, 12043, 33411, 2947, 6030, 7390, 796, 352, 8, 33493, 21582, 31948, 11, 357, 34, 28270, 7, 34, 11159, 42099, 5626, 30550, 10430, 3180, 15697, 5357, 5626, 50181, 54, 10554, 40 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 26125, 14806, 329, 20396, 25976, 351, 705, 40, 4458, 54, 10554, 317, 7054, 357, 46506, 41894, 62, 35, 6158, 62, 19238, 62, 27857, 4221, 7, 12443, 341, 10430, 8, 7054, 21582, 31948, 11, 5121, 11, 30550, 10430, 11, 42001, 42099, 12290, 34178, 705, 27, 79, 29, 40, 62, 7061, 4, 6, 6375, 12290, 34178, 705, 27, 79, 29, 3955, 4064, 6, 42243, 352, 23578, 7054, 50181, 54, 10554, 40, 16034, 12043, 33411, 2947, 6030, 7390, 796, 352, 8, 33493, 21582, 31948, 11, 357, 34, 28270, 7, 34, 11159, 42099, 5626, 30550, 10430, 3180, 15697, 5357, 5626, 50181, 54, 10554, 40 ]
until 2104, how many patients were prescribed with 1000 ml flex cont : sodium chloride 0.9 % iv soln within the same hospital visit after the diagnosis with pancreatitis - acute?
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'pancreatitis - acute' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2104') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = '1000 ml flex cont : sodium chloride 0.9 % iv soln' AND STRFTIME('%y', medication.drugstarttime) <= '2104') AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
[ 28446, 362, 13464, 11, 703, 867, 3871, 547, 14798, 351, 8576, 25962, 7059, 542, 1058, 21072, 44921, 657, 13, 24, 4064, 21628, 1540, 77, 1626, 262, 976, 4436, 3187, 706, 262, 13669, 351, 47767, 11815, 532, 14352, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 403, 1557, 538, 312, 8, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 13669, 13, 47356, 418, 396, 524, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 13669, 32357, 1268, 5827, 6177, 13669, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 13669, 13 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 28446, 362, 13464, 11, 703, 867, 3871, 547, 14798, 351, 8576, 25962, 7059, 542, 1058, 21072, 44921, 657, 13, 24, 4064, 21628, 1540, 77, 1626, 262, 976, 4436, 3187, 706, 262, 13669, 351, 47767, 11815, 532, 14352, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 403, 1557, 538, 312, 8, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 13669, 13, 47356, 418, 396, 524, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 13669, 32357, 1268, 5827, 6177, 13669, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 13669, 13 ]
When my Suggested Edit decisions were reversed.
SELECT SE.PostId AS "post_link", V.Name AS "vote_type", SE.ApprovalDate, SE.RejectionDate FROM SuggestedEditVotes AS SEV INNER JOIN SuggestedEdits AS SE ON SEV.SuggestedEditId = SE.Id INNER JOIN VoteTypes AS V ON V.Id = SEV.VoteTypeId WHERE SEV.UserId = @UserId AND ((SEV.VoteTypeId = 2 AND NOT RejectionDate IS NULL) OR (SEV.VoteTypeId = 3 AND NOT ApprovalDate IS NULL)) ORDER BY SEV.Id DESC LIMIT 1000
[ 2215, 616, 35042, 276, 5312, 5370, 547, 17687, 13, 46506, 7946, 13, 6307, 7390, 7054, 366, 7353, 62, 8726, 1600, 569, 13, 5376, 7054, 366, 27257, 62, 4906, 1600, 7946, 13, 4677, 305, 2100, 10430, 11, 7946, 13, 3041, 29192, 10430, 16034, 35042, 276, 18378, 53, 6421, 7054, 7946, 53, 3268, 21479, 32357, 1268, 35042, 276, 7407, 896, 7054, 7946, 6177, 7946, 53, 13, 43857, 276, 18378, 7390, 796, 7946, 13, 7390, 3268, 21479, 32357, 1268, 19175, 31431, 7054, 569, 6177, 569, 13, 7390, 796, 7946, 53, 13, 37394, 6030, 7390, 33411, 7946, 53, 13, 12982, 7390, 796, 2488, 12982 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 616, 35042, 276, 5312, 5370, 547, 17687, 13, 46506, 7946, 13, 6307, 7390, 7054, 366, 7353, 62, 8726, 1600, 569, 13, 5376, 7054, 366, 27257, 62, 4906, 1600, 7946, 13, 4677, 305, 2100, 10430, 11, 7946, 13, 3041, 29192, 10430, 16034, 35042, 276, 18378, 53, 6421, 7054, 7946, 53, 3268, 21479, 32357, 1268, 35042, 276, 7407, 896, 7054, 7946, 6177, 7946, 53, 13, 43857, 276, 18378, 7390, 796, 7946, 13, 7390, 3268, 21479, 32357, 1268, 19175, 31431, 7054, 569, 6177, 569, 13, 7390, 796, 7946, 53, 13, 37394, 6030, 7390, 33411, 7946, 53, 13, 12982, 7390, 796, 2488, 12982 ]
What is the enrollment for Augsburg college?
SELECT MIN(enrollment) FROM table_261913_1 WHERE institution = "Augsburg College"
[ 2061, 318, 262, 20753, 329, 2447, 30359, 4152, 30, 46506, 20625, 7, 268, 48108, 8, 16034, 3084, 62, 2075, 1129, 1485, 62, 16, 33411, 9901, 796, 366, 32, 10339, 7423, 5535, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 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, 20753, 329, 2447, 30359, 4152, 30, 46506, 20625, 7, 268, 48108, 8, 16034, 3084, 62, 2075, 1129, 1485, 62, 16, 33411, 9901, 796, 366, 32, 10339, 7423, 5535, 1 ]
which team has the most wins ?
SELECT "winner" FROM table_204_874 GROUP BY "winner" ORDER BY COUNT(*) DESC LIMIT 1
[ 4758, 1074, 468, 262, 749, 7864, 5633, 46506, 366, 39791, 1, 16034, 3084, 62, 18638, 62, 23, 4524, 44441, 11050, 366, 39791, 1, 38678, 11050, 327, 28270, 7, 28104, 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 ]
[ 4758, 1074, 468, 262, 749, 7864, 5633, 46506, 366, 39791, 1, 16034, 3084, 62, 18638, 62, 23, 4524, 44441, 11050, 366, 39791, 1, 38678, 11050, 327, 28270, 7, 28104, 22196, 34, 27564, 2043, 352 ]
What is the title for year 1991 and a date of March 21?
SELECT title FROM table_name_87 WHERE year = 1991 AND date = "march 21"
[ 2061, 318, 262, 3670, 329, 614, 10249, 290, 257, 3128, 286, 2805, 2310, 30, 46506, 3670, 16034, 3084, 62, 3672, 62, 5774, 33411, 614, 796, 10249, 5357, 3128, 796, 366, 76, 998, 2310, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 329, 614, 10249, 290, 257, 3128, 286, 2805, 2310, 30, 46506, 3670, 16034, 3084, 62, 3672, 62, 5774, 33411, 614, 796, 10249, 5357, 3128, 796, 366, 76, 998, 2310, 1 ]
What place did the singer in atomic kitten finish?
SELECT finished FROM table_name_91 WHERE famous_for = "singer in atomic kitten"
[ 2061, 1295, 750, 262, 14015, 287, 17226, 42143, 5461, 30, 46506, 5201, 16034, 3084, 62, 3672, 62, 6420, 33411, 5863, 62, 1640, 796, 366, 82, 3889, 287, 17226, 42143, 1 ]
[ 1, 1, 1, 1, 1, 1, 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, 1295, 750, 262, 14015, 287, 17226, 42143, 5461, 30, 46506, 5201, 16034, 3084, 62, 3672, 62, 6420, 33411, 5863, 62, 1640, 796, 366, 82, 3889, 287, 17226, 42143, 1 ]
What is the high goal against associated with 18 wins, a Goal Difference of 43, and under 6 draws?
SELECT MAX(goals_against) FROM table_name_57 WHERE wins = 18 AND goal_difference = 43 AND draws < 6
[ 2061, 318, 262, 1029, 3061, 1028, 3917, 351, 1248, 7864, 11, 257, 25376, 43795, 286, 5946, 11, 290, 739, 718, 14293, 30, 46506, 25882, 7, 2188, 874, 62, 32826, 8, 16034, 3084, 62, 3672, 62, 3553, 33411, 7864, 796, 1248, 5357, 3061, 62, 26069, 1945, 796, 5946, 5357, 14293, 1279, 718 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1029, 3061, 1028, 3917, 351, 1248, 7864, 11, 257, 25376, 43795, 286, 5946, 11, 290, 739, 718, 14293, 30, 46506, 25882, 7, 2188, 874, 62, 32826, 8, 16034, 3084, 62, 3672, 62, 3553, 33411, 7864, 796, 1248, 5357, 3061, 62, 26069, 1945, 796, 5946, 5357, 14293, 1279, 718 ]
The driver Jacky Ickx had what time/retired?
SELECT "Time/Retired" FROM table_54423 WHERE "Driver" = 'jacky ickx'
[ 464, 4639, 3619, 88, 314, 694, 87, 550, 644, 640, 14, 1186, 1202, 30, 46506, 366, 7575, 14, 9781, 1202, 1, 16034, 3084, 62, 47576, 1954, 33411, 366, 32103, 1, 796, 705, 19650, 88, 220, 624, 87, 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 ]
[ 464, 4639, 3619, 88, 314, 694, 87, 550, 644, 640, 14, 1186, 1202, 30, 46506, 366, 7575, 14, 9781, 1202, 1, 16034, 3084, 62, 47576, 1954, 33411, 366, 32103, 1, 796, 705, 19650, 88, 220, 624, 87, 6 ]
What kind of animal corresponds to the accession number xp_852505.1?
SELECT "Common Name" FROM table_20071 WHERE "Accession Number" = 'XP_852505.1'
[ 2061, 1611, 286, 5044, 24866, 284, 262, 1895, 295, 1271, 36470, 62, 23, 4309, 31654, 13, 16, 30, 46506, 366, 17227, 6530, 1, 16034, 3084, 62, 2167, 4869, 33411, 366, 15457, 295, 7913, 1, 796, 705, 27481, 62, 23, 4309, 31654, 13, 16, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 1611, 286, 5044, 24866, 284, 262, 1895, 295, 1271, 36470, 62, 23, 4309, 31654, 13, 16, 30, 46506, 366, 17227, 6530, 1, 16034, 3084, 62, 2167, 4869, 33411, 366, 15457, 295, 7913, 1, 796, 705, 27481, 62, 23, 4309, 31654, 13, 16, 6 ]
What is the quantity for railway 263?
SELECT "Quantity" FROM table_63001 WHERE "Railway number(s)" = '263'
[ 2061, 318, 262, 12040, 329, 20515, 39135, 30, 46506, 366, 31208, 1, 16034, 3084, 62, 5066, 8298, 33411, 366, 44631, 1014, 1271, 7, 82, 16725, 796, 705, 29558, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 12040, 329, 20515, 39135, 30, 46506, 366, 31208, 1, 16034, 3084, 62, 5066, 8298, 33411, 366, 44631, 1014, 1271, 7, 82, 16725, 796, 705, 29558, 6 ]
How many nations do the FMS international team represent?
SELECT COUNT(nation) FROM table_19312274_3 WHERE name = "FMS International"
[ 2437, 867, 7027, 466, 262, 376, 5653, 3230, 1074, 2380, 30, 46506, 327, 28270, 7, 25729, 8, 16034, 3084, 62, 24943, 1065, 28857, 62, 18, 33411, 1438, 796, 366, 37, 5653, 4037, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7027, 466, 262, 376, 5653, 3230, 1074, 2380, 30, 46506, 327, 28270, 7, 25729, 8, 16034, 3084, 62, 24943, 1065, 28857, 62, 18, 33411, 1438, 796, 366, 37, 5653, 4037, 1 ]
which pga tour event gave out the least prize money to its 1st place finisher ?
SELECT "tournament" FROM table_203_531 ORDER BY "1st prize ($)" LIMIT 1
[ 4758, 279, 4908, 4205, 1785, 2921, 503, 262, 1551, 11596, 1637, 284, 663, 352, 301, 1295, 957, 4828, 5633, 46506, 366, 83, 5138, 1, 16034, 3084, 62, 22416, 62, 20, 3132, 38678, 11050, 366, 16, 301, 11596, 7198, 16725, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4758, 279, 4908, 4205, 1785, 2921, 503, 262, 1551, 11596, 1637, 284, 663, 352, 301, 1295, 957, 4828, 5633, 46506, 366, 83, 5138, 1, 16034, 3084, 62, 22416, 62, 20, 3132, 38678, 11050, 366, 16, 301, 11596, 7198, 16725, 27564, 2043, 352 ]
Which Score has a Record of 9 8?
SELECT "Score" FROM table_43767 WHERE "Record" = '9–8'
[ 13828, 15178, 468, 257, 13266, 286, 860, 807, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 43284, 3134, 33411, 366, 23739, 1, 796, 705, 24, 1906, 23, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 15178, 468, 257, 13266, 286, 860, 807, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 43284, 3134, 33411, 366, 23739, 1, 796, 705, 24, 1906, 23, 6 ]
Show stupid posts (Freeze, Crash, Bug).
SELECT pt.PostId AS "post_link", p.Score, p.ViewCount FROM Tags AS t, PostTags AS pt, Posts AS p WHERE pt.TagId = t.Id AND p.Id = pt.PostId AND t.TagName IN ('freeze', 'crash', 'bug') AND p.AcceptedAnswerId IS NULL AND p.ClosedDate IS NULL AND p.Id NOT IN (SELECT ps.ParentId FROM Posts AS ps WHERE ps.PostTypeId = 2 AND ps.Score > 1) ORDER BY ViewCount DESC
[ 15307, 8531, 6851, 357, 11146, 2736, 11, 23653, 11, 15217, 737, 46506, 42975, 13, 6307, 7390, 7054, 366, 7353, 62, 8726, 1600, 279, 13, 26595, 11, 279, 13, 7680, 12332, 16034, 44789, 7054, 256, 11, 2947, 36142, 7054, 42975, 11, 12043, 7054, 279, 33411, 42975, 13, 24835, 7390, 796, 256, 13, 7390, 5357, 279, 13, 7390, 796, 42975, 13, 6307, 7390, 5357, 256, 13, 24835, 5376, 3268, 19203, 5787, 2736, 3256, 705, 6098, 1077, 3256, 705, 25456, 11537, 5357, 279, 13, 38855, 276, 33706, 7390, 3180, 15697, 5357, 279, 13, 2601, 1335, 10430, 3180, 15697, 5357, 279, 13, 7390, 5626 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 8531, 6851, 357, 11146, 2736, 11, 23653, 11, 15217, 737, 46506, 42975, 13, 6307, 7390, 7054, 366, 7353, 62, 8726, 1600, 279, 13, 26595, 11, 279, 13, 7680, 12332, 16034, 44789, 7054, 256, 11, 2947, 36142, 7054, 42975, 11, 12043, 7054, 279, 33411, 42975, 13, 24835, 7390, 796, 256, 13, 7390, 5357, 279, 13, 7390, 796, 42975, 13, 6307, 7390, 5357, 256, 13, 24835, 5376, 3268, 19203, 5787, 2736, 3256, 705, 6098, 1077, 3256, 705, 25456, 11537, 5357, 279, 13, 38855, 276, 33706, 7390, 3180, 15697, 5357, 279, 13, 2601, 1335, 10430, 3180, 15697, 5357, 279, 13, 7390, 5626 ]
during this year what were the top four most frequent specimen tests ordered for patients in the same hospital visit after being diagnosed with respirator depend status?
SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'respirator depend status') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 4
[ 42122, 428, 614, 644, 547, 262, 1353, 1440, 749, 10792, 31674, 5254, 6149, 329, 3871, 287, 262, 976, 4436, 3187, 706, 852, 14641, 351, 21483, 1352, 4745, 3722, 30, 46506, 256, 18, 13, 16684, 62, 4906, 62, 20147, 16034, 357, 46506, 256, 17, 13, 16684, 62, 4906, 62, 20147, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 11, 25349, 13, 18108, 76, 62, 312, 16034, 40567, 62, 291, 67, 32357 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 42122, 428, 614, 644, 547, 262, 1353, 1440, 749, 10792, 31674, 5254, 6149, 329, 3871, 287, 262, 976, 4436, 3187, 706, 852, 14641, 351, 21483, 1352, 4745, 3722, 30, 46506, 256, 18, 13, 16684, 62, 4906, 62, 20147, 16034, 357, 46506, 256, 17, 13, 16684, 62, 4906, 62, 20147, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 11, 25349, 13, 18108, 76, 62, 312, 16034, 40567, 62, 291, 67, 32357 ]
Opponent of @ edmonton oilers, and a Game smaller than 7, and a Series of oilers lead 3 2 had what score?
SELECT "Score" FROM table_75433 WHERE "Opponent" = '@ edmonton oilers' AND "Game" < '7' AND "Series" = 'oilers lead 3–2'
[ 27524, 3471, 286, 2488, 1225, 19729, 3056, 364, 11, 290, 257, 3776, 4833, 621, 767, 11, 290, 257, 7171, 286, 3056, 364, 1085, 513, 362, 550, 644, 4776, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 41874, 2091, 33411, 366, 27524, 3471, 1, 796, 705, 31, 1225, 19729, 3056, 364, 6, 5357, 366, 8777, 1, 1279, 705, 22, 6, 5357, 366, 27996, 1, 796, 705, 9437, 364, 1085, 513, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 27524, 3471, 286, 2488, 1225, 19729, 3056, 364, 11, 290, 257, 3776, 4833, 621, 767, 11, 290, 257, 7171, 286, 3056, 364, 1085, 513, 362, 550, 644, 4776, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 41874, 2091, 33411, 366, 27524, 3471, 1, 796, 705, 31, 1225, 19729, 3056, 364, 6, 5357, 366, 8777, 1, 1279, 705, 22, 6, 5357, 366, 27996, 1, 796, 705, 9437, 364, 1085, 513, 1906, 17, 6 ]
how many films were shot in smff se ma for &#321; d &#378; , poland ?
SELECT COUNT("film title") FROM table_201_9 WHERE "shoot location" = 'smff se-ma-for łodz, poland'
[ 4919, 867, 7328, 547, 2823, 287, 895, 487, 384, 17266, 329, 1222, 2, 36453, 26, 288, 1222, 2, 30695, 26, 837, 755, 392, 5633, 46506, 327, 28270, 7203, 26240, 3670, 4943, 16034, 3084, 62, 1264, 62, 24, 33411, 366, 30408, 4067, 1, 796, 705, 5796, 487, 384, 12, 2611, 12, 1640, 25370, 224, 375, 89, 11, 755, 392, 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 ]
[ 4919, 867, 7328, 547, 2823, 287, 895, 487, 384, 17266, 329, 1222, 2, 36453, 26, 288, 1222, 2, 30695, 26, 837, 755, 392, 5633, 46506, 327, 28270, 7203, 26240, 3670, 4943, 16034, 3084, 62, 1264, 62, 24, 33411, 366, 30408, 4067, 1, 796, 705, 5796, 487, 384, 12, 2611, 12, 1640, 25370, 224, 375, 89, 11, 755, 392, 6 ]
What category was the winner in?
SELECT "Category" FROM table_48133 WHERE "Outcome" = 'winner'
[ 2061, 6536, 373, 262, 8464, 287, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 2780, 16945, 33411, 366, 7975, 2958, 1, 796, 705, 39791, 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 ]
[ 2061, 6536, 373, 262, 8464, 287, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 2780, 16945, 33411, 366, 7975, 2958, 1, 796, 705, 39791, 6 ]
What is the highest number of silvers a team with more than 95 total medals has?
SELECT MAX(silver) FROM table_name_6 WHERE total > 95
[ 2061, 318, 262, 4511, 1271, 286, 3313, 690, 257, 1074, 351, 517, 621, 6957, 2472, 28057, 468, 30, 46506, 25882, 7, 40503, 8, 16034, 3084, 62, 3672, 62, 21, 33411, 2472, 1875, 6957 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4511, 1271, 286, 3313, 690, 257, 1074, 351, 517, 621, 6957, 2472, 28057, 468, 30, 46506, 25882, 7, 40503, 8, 16034, 3084, 62, 3672, 62, 21, 33411, 2472, 1875, 6957 ]
Which Result F-A has Opponents of rosenborg?
SELECT "Result F \u2013 A" FROM table_79125 WHERE "Opponents" = 'rosenborg'
[ 13828, 25414, 376, 12, 32, 468, 9385, 3906, 286, 686, 6248, 23297, 30, 46506, 366, 23004, 376, 3467, 84, 6390, 317, 1, 16034, 3084, 62, 3720, 11623, 33411, 366, 27524, 3906, 1, 796, 705, 4951, 268, 23297, 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 ]
[ 13828, 25414, 376, 12, 32, 468, 9385, 3906, 286, 686, 6248, 23297, 30, 46506, 366, 23004, 376, 3467, 84, 6390, 317, 1, 16034, 3084, 62, 3720, 11623, 33411, 366, 27524, 3906, 1, 796, 705, 4951, 268, 23297, 6 ]
How many seasons did Charles C. Farrell coach?
SELECT COUNT(seasons) FROM table_name_56 WHERE name = "charles c. farrell"
[ 2437, 867, 7028, 750, 7516, 327, 13, 37568, 3985, 30, 46506, 327, 28270, 7, 325, 2812, 8, 16034, 3084, 62, 3672, 62, 3980, 33411, 1438, 796, 366, 10641, 829, 269, 13, 1290, 11252, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7028, 750, 7516, 327, 13, 37568, 3985, 30, 46506, 327, 28270, 7, 325, 2812, 8, 16034, 3084, 62, 3672, 62, 3980, 33411, 1438, 796, 366, 10641, 829, 269, 13, 1290, 11252, 1 ]
referrals to Jon Skeet's question tips, per user.
SELECT YEAR(c.CreationDate), COUNT(c.Id) FROM Comments AS c WHERE c.Text LIKE '%codeblog.jonskeet.uk/2010/08/29/writing-the-perfect-question%' GROUP BY YEAR(c.CreationDate) ORDER BY COUNT(c.Id) DESC
[ 260, 2232, 30691, 284, 5966, 19460, 316, 338, 1808, 9040, 11, 583, 2836, 13, 46506, 32914, 7, 66, 13, 12443, 341, 10430, 828, 327, 28270, 7, 66, 13, 7390, 8, 16034, 19502, 7054, 269, 33411, 269, 13, 8206, 34178, 705, 4, 8189, 14036, 13, 73, 684, 365, 316, 13, 2724, 14, 10333, 14, 2919, 14, 1959, 14, 16502, 12, 1169, 12, 25833, 12, 25652, 4, 6, 44441, 11050, 32914, 7, 66, 13, 12443, 341, 10430, 8, 38678, 11050, 327, 28270, 7, 66, 13, 7390, 8, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 260, 2232, 30691, 284, 5966, 19460, 316, 338, 1808, 9040, 11, 583, 2836, 13, 46506, 32914, 7, 66, 13, 12443, 341, 10430, 828, 327, 28270, 7, 66, 13, 7390, 8, 16034, 19502, 7054, 269, 33411, 269, 13, 8206, 34178, 705, 4, 8189, 14036, 13, 73, 684, 365, 316, 13, 2724, 14, 10333, 14, 2919, 14, 1959, 14, 16502, 12, 1169, 12, 25833, 12, 25652, 4, 6, 44441, 11050, 32914, 7, 66, 13, 12443, 341, 10430, 8, 38678, 11050, 327, 28270, 7, 66, 13, 7390, 8, 22196, 34 ]
Name the agency for santa rosa avenue
SELECT agency FROM table_25692955_1 WHERE south_west_terminal = "Santa Rosa Avenue"
[ 5376, 262, 4086, 329, 264, 4910, 686, 11400, 36132, 46506, 4086, 16034, 3084, 62, 1495, 3388, 1959, 2816, 62, 16, 33411, 5366, 62, 7038, 62, 23705, 282, 796, 366, 42694, 27994, 8878, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4086, 329, 264, 4910, 686, 11400, 36132, 46506, 4086, 16034, 3084, 62, 1495, 3388, 1959, 2816, 62, 16, 33411, 5366, 62, 7038, 62, 23705, 282, 796, 366, 42694, 27994, 8878, 1 ]
List the project details of the project both producing patent and paper as outcomes.
SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id WHERE T2.outcome_code = 'Paper' INTERSECT SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id WHERE T2.outcome_code = 'Patent'
[ 8053, 262, 1628, 3307, 286, 262, 1628, 1111, 9194, 12701, 290, 3348, 355, 10906, 13, 46506, 309, 16, 13, 16302, 62, 36604, 16034, 29898, 7054, 309, 16, 32357, 1268, 4935, 62, 448, 8988, 7054, 309, 17, 6177, 309, 16, 13, 16302, 62, 312, 796, 309, 17, 13, 16302, 62, 312, 33411, 309, 17, 13, 448, 2958, 62, 8189, 796, 705, 42950, 6, 17828, 4877, 9782, 33493, 309, 16, 13, 16302, 62, 36604, 16034, 29898, 7054, 309, 16, 32357, 1268, 4935, 62, 448, 8988, 7054, 309, 17, 6177, 309, 16, 13, 16302, 62, 312, 796, 309, 17, 13, 16302, 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 ]
[ 8053, 262, 1628, 3307, 286, 262, 1628, 1111, 9194, 12701, 290, 3348, 355, 10906, 13, 46506, 309, 16, 13, 16302, 62, 36604, 16034, 29898, 7054, 309, 16, 32357, 1268, 4935, 62, 448, 8988, 7054, 309, 17, 6177, 309, 16, 13, 16302, 62, 312, 796, 309, 17, 13, 16302, 62, 312, 33411, 309, 17, 13, 448, 2958, 62, 8189, 796, 705, 42950, 6, 17828, 4877, 9782, 33493, 309, 16, 13, 16302, 62, 36604, 16034, 29898, 7054, 309, 16, 32357, 1268, 4935, 62, 448, 8988, 7054, 309, 17, 6177, 309, 16, 13, 16302, 62, 312, 796, 309, 17, 13, 16302, 62, 312 ]
What is the average week number for games that had 28,800 fans in attendance?
SELECT AVG("Week") FROM table_45345 WHERE "Attendance" = '28,800'
[ 2061, 318, 262, 2811, 1285, 1271, 329, 1830, 326, 550, 2579, 11, 7410, 3296, 287, 14858, 30, 46506, 35224, 7203, 20916, 4943, 16034, 3084, 62, 2231, 27712, 33411, 366, 8086, 437, 590, 1, 796, 705, 2078, 11, 7410, 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, 2811, 1285, 1271, 329, 1830, 326, 550, 2579, 11, 7410, 3296, 287, 14858, 30, 46506, 35224, 7203, 20916, 4943, 16034, 3084, 62, 2231, 27712, 33411, 366, 8086, 437, 590, 1, 796, 705, 2078, 11, 7410, 6 ]
What is the year from 1892-93 that has the 1890s to the 1940s?
SELECT "1892\u201393" FROM table_75722 WHERE "1890s" = '1940s'
[ 2061, 318, 262, 614, 422, 1248, 5892, 12, 6052, 326, 468, 262, 31982, 82, 284, 262, 16236, 82, 30, 46506, 366, 1507, 5892, 59, 84, 1264, 26007, 1, 16034, 3084, 62, 39251, 1828, 33411, 366, 1507, 3829, 82, 1, 796, 705, 1129, 1821, 82, 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 ]
[ 2061, 318, 262, 614, 422, 1248, 5892, 12, 6052, 326, 468, 262, 31982, 82, 284, 262, 16236, 82, 30, 46506, 366, 1507, 5892, 59, 84, 1264, 26007, 1, 16034, 3084, 62, 39251, 1828, 33411, 366, 1507, 3829, 82, 1, 796, 705, 1129, 1821, 82, 6 ]
Who was the incumbent in Pennsylvania 27?
SELECT "Incumbent" FROM table_18601 WHERE "District" = 'Pennsylvania 27'
[ 8241, 373, 262, 23526, 287, 9589, 2681, 30, 46506, 366, 25517, 2178, 298, 1, 16034, 3084, 62, 25096, 486, 33411, 366, 44857, 1, 796, 705, 39899, 9270, 2681, 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 ]
[ 8241, 373, 262, 23526, 287, 9589, 2681, 30, 46506, 366, 25517, 2178, 298, 1, 16034, 3084, 62, 25096, 486, 33411, 366, 44857, 1, 796, 705, 39899, 9270, 2681, 6 ]
What's the value for 2007 when 2011 is a and 2009 is q2?
SELECT 2007 FROM table_name_12 WHERE 2011 = "a" AND 2009 = "q2"
[ 2061, 338, 262, 1988, 329, 4343, 618, 2813, 318, 257, 290, 3717, 318, 10662, 17, 30, 46506, 4343, 16034, 3084, 62, 3672, 62, 1065, 33411, 2813, 796, 366, 64, 1, 5357, 3717, 796, 366, 80, 17, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 338, 262, 1988, 329, 4343, 618, 2813, 318, 257, 290, 3717, 318, 10662, 17, 30, 46506, 4343, 16034, 3084, 62, 3672, 62, 1065, 33411, 2813, 796, 366, 64, 1, 5357, 3717, 796, 366, 80, 17, 1 ]
What is the first class team of the player born on 23 February 1973?
SELECT "First Class Team" FROM table_51626 WHERE "Date of Birth" = '23 february 1973'
[ 2061, 318, 262, 717, 1398, 1074, 286, 262, 2137, 4642, 319, 2242, 3945, 15674, 30, 46506, 366, 5962, 5016, 4816, 1, 16034, 3084, 62, 47493, 2075, 33411, 366, 10430, 286, 17647, 1, 796, 705, 1954, 730, 65, 3728, 15674, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 717, 1398, 1074, 286, 262, 2137, 4642, 319, 2242, 3945, 15674, 30, 46506, 366, 5962, 5016, 4816, 1, 16034, 3084, 62, 47493, 2075, 33411, 366, 10430, 286, 17647, 1, 796, 705, 1954, 730, 65, 3728, 15674, 6 ]
How many students are enrolled in colleges that have student accepted during tryouts, and in which states are those colleges Show bar chart, show by the bars in descending.
SELECT state, enr FROM College AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes' ORDER BY state DESC
[ 2437, 867, 2444, 389, 18724, 287, 15273, 326, 423, 3710, 6292, 1141, 1949, 5269, 11, 290, 287, 543, 2585, 389, 883, 15273, 5438, 2318, 8262, 11, 905, 416, 262, 9210, 287, 31491, 13, 46506, 1181, 11, 551, 81, 16034, 5535, 7054, 309, 16, 32357, 1268, 9993, 448, 7054, 309, 17, 6177, 309, 16, 13, 66, 5376, 796, 309, 17, 13, 66, 5376, 33411, 309, 17, 13, 12501, 1166, 796, 705, 8505, 6, 38678, 11050, 1181, 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 ]
[ 2437, 867, 2444, 389, 18724, 287, 15273, 326, 423, 3710, 6292, 1141, 1949, 5269, 11, 290, 287, 543, 2585, 389, 883, 15273, 5438, 2318, 8262, 11, 905, 416, 262, 9210, 287, 31491, 13, 46506, 1181, 11, 551, 81, 16034, 5535, 7054, 309, 16, 32357, 1268, 9993, 448, 7054, 309, 17, 6177, 309, 16, 13, 66, 5376, 796, 309, 17, 13, 66, 5376, 33411, 309, 17, 13, 12501, 1166, 796, 705, 8505, 6, 38678, 11050, 1181, 22196, 34 ]
What is the L2 cache with a 13.5x multi 1?
SELECT l2_cache FROM table_name_87 WHERE multi_1 = "13.5x"
[ 2061, 318, 262, 406, 17, 12940, 351, 257, 1511, 13, 20, 87, 5021, 352, 30, 46506, 300, 17, 62, 23870, 16034, 3084, 62, 3672, 62, 5774, 33411, 5021, 62, 16, 796, 366, 1485, 13, 20, 87, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 406, 17, 12940, 351, 257, 1511, 13, 20, 87, 5021, 352, 30, 46506, 300, 17, 62, 23870, 16034, 3084, 62, 3672, 62, 5774, 33411, 5021, 62, 16, 796, 366, 1485, 13, 20, 87, 1 ]
For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the average of code , and group by attribute name, list from low to high by the y axis.
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Code
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 1438, 290, 262, 2811, 286, 2438, 837, 290, 1448, 416, 11688, 1438, 11, 1351, 422, 1877, 284, 1029, 416, 262, 331, 16488, 13, 46506, 309, 16, 13, 5376, 11, 309, 16, 13, 10669, 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, 38678, 11050, 309, 16, 13, 10669 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 257, 2318, 8262, 2523, 262, 6082, 286, 1438, 290, 262, 2811, 286, 2438, 837, 290, 1448, 416, 11688, 1438, 11, 1351, 422, 1877, 284, 1029, 416, 262, 331, 16488, 13, 46506, 309, 16, 13, 5376, 11, 309, 16, 13, 10669, 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, 38678, 11050, 309, 16, 13, 10669 ]
Which home team has a crowd that is bigger than 22,449?
SELECT "Home team" FROM table_10980 WHERE "Crowd" > '22,449'
[ 13828, 1363, 1074, 468, 257, 4315, 326, 318, 5749, 621, 2534, 11, 31911, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 14454, 1795, 33411, 366, 34, 3986, 1, 1875, 705, 1828, 11, 31911, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 1363, 1074, 468, 257, 4315, 326, 318, 5749, 621, 2534, 11, 31911, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 14454, 1795, 33411, 366, 34, 3986, 1, 1875, 705, 1828, 11, 31911, 6 ]
What is the market income per capita in a county where the status is distressed and the unemployment rate is at 10.5%?
SELECT "Market Income Per Capita" FROM table_25350 WHERE "Status" = 'Distressed' AND "Unemployment Rate" = '10.5%'
[ 2061, 318, 262, 1910, 3739, 583, 21344, 287, 257, 7968, 810, 262, 3722, 318, 36233, 290, 262, 10681, 2494, 318, 379, 838, 13, 20, 4, 30, 46506, 366, 27470, 19003, 2448, 4476, 5350, 1, 16034, 3084, 62, 1495, 14877, 33411, 366, 19580, 1, 796, 705, 20344, 2790, 6, 5357, 366, 3118, 28812, 14806, 1, 796, 705, 940, 13, 20, 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, 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, 1910, 3739, 583, 21344, 287, 257, 7968, 810, 262, 3722, 318, 36233, 290, 262, 10681, 2494, 318, 379, 838, 13, 20, 4, 30, 46506, 366, 27470, 19003, 2448, 4476, 5350, 1, 16034, 3084, 62, 1495, 14877, 33411, 366, 19580, 1, 796, 705, 20344, 2790, 6, 5357, 366, 3118, 28812, 14806, 1, 796, 705, 940, 13, 20, 4, 6 ]
Name the high points for w 90 77 (ot)
SELECT "High points" FROM table_29767 WHERE "Score" = 'W 90–77 (OT)'
[ 5376, 262, 1029, 2173, 329, 266, 4101, 8541, 357, 313, 8, 46506, 366, 11922, 2173, 1, 16034, 3084, 62, 26561, 3134, 33411, 366, 26595, 1, 796, 705, 54, 4101, 1906, 3324, 357, 2394, 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 ]
[ 5376, 262, 1029, 2173, 329, 266, 4101, 8541, 357, 313, 8, 46506, 366, 11922, 2173, 1, 16034, 3084, 62, 26561, 3134, 33411, 366, 26595, 1, 796, 705, 54, 4101, 1906, 3324, 357, 2394, 33047 ]
What is the Australian equivalent to i / /?
SELECT australian FROM table_name_79 WHERE letter = "i /ɪ/"
[ 2061, 318, 262, 6638, 7548, 284, 1312, 1220, 1220, 30, 46506, 38132, 1373, 666, 16034, 3084, 62, 3672, 62, 3720, 33411, 3850, 796, 366, 72, 1220, 133, 103, 30487 ]
[ 1, 1, 1, 1, 1, 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, 6638, 7548, 284, 1312, 1220, 1220, 30, 46506, 38132, 1373, 666, 16034, 3084, 62, 3672, 62, 3720, 33411, 3850, 796, 366, 72, 1220, 133, 103, 30487 ]
How many players had 8 goals?
SELECT COUNT(player) FROM table_28286776_52 WHERE goal_s_ = 8
[ 2437, 867, 1938, 550, 807, 4661, 30, 46506, 327, 28270, 7, 7829, 8, 16034, 3084, 62, 2078, 2078, 3134, 4304, 62, 4309, 33411, 3061, 62, 82, 62, 796, 807 ]
[ 1, 1, 1, 1, 1, 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, 1938, 550, 807, 4661, 30, 46506, 327, 28270, 7, 7829, 8, 16034, 3084, 62, 2078, 2078, 3134, 4304, 62, 4309, 33411, 3061, 62, 82, 62, 796, 807 ]
What shows for 2002 when the 2004 is A, and the 2005 is 1r?
SELECT 2002 FROM table_name_40 WHERE 2004 = "a" AND 2005 = "1r"
[ 2061, 2523, 329, 6244, 618, 262, 5472, 318, 317, 11, 290, 262, 5075, 318, 352, 81, 30, 46506, 6244, 16034, 3084, 62, 3672, 62, 1821, 33411, 5472, 796, 366, 64, 1, 5357, 5075, 796, 366, 16, 81, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2523, 329, 6244, 618, 262, 5472, 318, 317, 11, 290, 262, 5075, 318, 352, 81, 30, 46506, 6244, 16034, 3084, 62, 3672, 62, 1821, 33411, 5472, 796, 366, 64, 1, 5357, 5075, 796, 366, 16, 81, 1 ]
what is the nation when the height (m) is 1.91 and the weight (kg) is 99?
SELECT nation FROM table_name_83 WHERE height__m_ = "1.91" AND weight__kg_ = "99"
[ 10919, 318, 262, 3277, 618, 262, 6001, 357, 76, 8, 318, 352, 13, 6420, 290, 262, 3463, 357, 10025, 8, 318, 7388, 30, 46506, 3277, 16034, 3084, 62, 3672, 62, 5999, 33411, 6001, 834, 76, 62, 796, 366, 16, 13, 6420, 1, 5357, 3463, 834, 10025, 62, 796, 366, 2079, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3277, 618, 262, 6001, 357, 76, 8, 318, 352, 13, 6420, 290, 262, 3463, 357, 10025, 8, 318, 7388, 30, 46506, 3277, 16034, 3084, 62, 3672, 62, 5999, 33411, 6001, 834, 76, 62, 796, 366, 16, 13, 6420, 1, 5357, 3463, 834, 10025, 62, 796, 366, 2079, 1 ]
Name the least draw for elena dermidjean
SELECT MIN("Draw") FROM table_1160 WHERE "Artist" = 'Elena Dermidjean'
[ 5376, 262, 1551, 3197, 329, 1288, 8107, 4587, 13602, 73, 11025, 46506, 20625, 7203, 25302, 4943, 16034, 3084, 62, 1157, 1899, 33411, 366, 43020, 1, 796, 705, 9527, 8107, 360, 7780, 312, 73, 11025, 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 ]
[ 5376, 262, 1551, 3197, 329, 1288, 8107, 4587, 13602, 73, 11025, 46506, 20625, 7203, 25302, 4943, 16034, 3084, 62, 1157, 1899, 33411, 366, 43020, 1, 796, 705, 9527, 8107, 360, 7780, 312, 73, 11025, 6 ]
What's the total number of directors who've directed episodes seen by 11.34 million US viewers?
SELECT COUNT("Directed by") FROM table_17478 WHERE "U.S. viewers (millions)" = '11.34'
[ 2061, 338, 262, 2472, 1271, 286, 13445, 508, 1053, 7924, 8640, 1775, 416, 1367, 13, 2682, 1510, 1294, 10209, 30, 46506, 327, 28270, 7203, 13470, 276, 416, 4943, 16034, 3084, 62, 1558, 29059, 33411, 366, 52, 13, 50, 13, 10209, 357, 17805, 507, 16725, 796, 705, 1157, 13, 2682, 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 ]
[ 2061, 338, 262, 2472, 1271, 286, 13445, 508, 1053, 7924, 8640, 1775, 416, 1367, 13, 2682, 1510, 1294, 10209, 30, 46506, 327, 28270, 7203, 13470, 276, 416, 4943, 16034, 3084, 62, 1558, 29059, 33411, 366, 52, 13, 50, 13, 10209, 357, 17805, 507, 16725, 796, 705, 1157, 13, 2682, 6 ]
Name the 2008 with 2012 of 2r and 2006 of 2r
SELECT "2008" FROM table_37806 WHERE "2012" = '2r' AND "2006" = '2r'
[ 5376, 262, 3648, 351, 2321, 286, 362, 81, 290, 4793, 286, 362, 81, 46506, 366, 11528, 1, 16034, 3084, 62, 2718, 37988, 33411, 366, 6999, 1, 796, 705, 17, 81, 6, 5357, 366, 13330, 1, 796, 705, 17, 81, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 5376, 262, 3648, 351, 2321, 286, 362, 81, 290, 4793, 286, 362, 81, 46506, 366, 11528, 1, 16034, 3084, 62, 2718, 37988, 33411, 366, 6999, 1, 796, 705, 17, 81, 6, 5357, 366, 13330, 1, 796, 705, 17, 81, 6 ]
What is the invoice number and invoice date corresponding to the invoice with the greatest number of transactions?
SELECT T2.invoice_number, T2.invoice_date FROM financial_transactions AS T1 JOIN invoices AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number ORDER BY COUNT(*) DESC LIMIT 1
[ 2061, 318, 262, 45458, 1271, 290, 45458, 3128, 11188, 284, 262, 45458, 351, 262, 6000, 1271, 286, 8945, 30, 46506, 309, 17, 13, 16340, 2942, 62, 17618, 11, 309, 17, 13, 16340, 2942, 62, 4475, 16034, 3176, 62, 7645, 4658, 7054, 309, 16, 32357, 1268, 800, 78, 1063, 7054, 309, 17, 6177, 309, 16, 13, 16340, 2942, 62, 17618, 796, 309, 17, 13, 16340, 2942, 62, 17618, 44441, 11050, 309, 16, 13, 16340, 2942, 62, 17618, 38678, 11050, 327, 28270, 7, 28104, 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, 1, 1, 1 ]
[ 2061, 318, 262, 45458, 1271, 290, 45458, 3128, 11188, 284, 262, 45458, 351, 262, 6000, 1271, 286, 8945, 30, 46506, 309, 17, 13, 16340, 2942, 62, 17618, 11, 309, 17, 13, 16340, 2942, 62, 4475, 16034, 3176, 62, 7645, 4658, 7054, 309, 16, 32357, 1268, 800, 78, 1063, 7054, 309, 17, 6177, 309, 16, 13, 16340, 2942, 62, 17618, 796, 309, 17, 13, 16340, 2942, 62, 17618, 44441, 11050, 309, 16, 13, 16340, 2942, 62, 17618, 38678, 11050, 327, 28270, 7, 28104, 22196, 34, 27564, 2043, 352 ]
count the number of patients whose diagnoses short title is diarrhea and drug route is ivpca?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Diarrhea" AND prescriptions.route = "IVPCA"
[ 9127, 262, 1271, 286, 3871, 3025, 40567, 1790, 3670, 318, 36004, 290, 2563, 6339, 318, 21628, 79, 6888, 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, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 40567, 13, 19509, 62, 7839, 796, 366, 18683, 3258, 21632, 1, 5357, 34092, 13, 38629, 796, 366, 3824, 5662, 32, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9127, 262, 1271, 286, 3871, 3025, 40567, 1790, 3670, 318, 36004, 290, 2563, 6339, 318, 21628, 79, 6888, 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, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 33411, 40567, 13, 19509, 62, 7839, 796, 366, 18683, 3258, 21632, 1, 5357, 34092, 13, 38629, 796, 366, 3824, 5662, 32, 1 ]
are there any flights from BOSTON to SAN FRANCISCO which stop in DENVER
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DENVER' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
[ 533, 612, 597, 13956, 422, 347, 10892, 1340, 284, 37376, 8782, 20940, 1797, 8220, 543, 2245, 287, 37692, 28884, 36, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 17, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 1748, 7054, 27993, 62, 17, 11, 5474, 11, 5474, 62, 11338, 33411, 357, 34, 9050, 62, 16, 13, 19205, 62, 8189 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 533, 612, 597, 13956, 422, 347, 10892, 1340, 284, 37376, 8782, 20940, 1797, 8220, 543, 2245, 287, 37692, 28884, 36, 16779, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 17, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 1748, 7054, 27993, 62, 17, 11, 5474, 11, 5474, 62, 11338, 33411, 357, 34, 9050, 62, 16, 13, 19205, 62, 8189 ]
What is the last 10 meetings that have slu, 9-8 as the overall record?
SELECT "Last 10 Meetings" FROM table_7612 WHERE "Overall Record" = 'slu, 9-8'
[ 2061, 318, 262, 938, 838, 8292, 326, 423, 1017, 84, 11, 860, 12, 23, 355, 262, 4045, 1700, 30, 46506, 366, 5956, 838, 21167, 654, 1, 16034, 3084, 62, 4304, 1065, 33411, 366, 16350, 13266, 1, 796, 705, 82, 2290, 11, 860, 12, 23, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 938, 838, 8292, 326, 423, 1017, 84, 11, 860, 12, 23, 355, 262, 4045, 1700, 30, 46506, 366, 5956, 838, 21167, 654, 1, 16034, 3084, 62, 4304, 1065, 33411, 366, 16350, 13266, 1, 796, 705, 82, 2290, 11, 860, 12, 23, 6 ]
hepatic, renal, muscular / neuromuscular, or active hematologic / oncologic disease
SELECT * FROM table_dev_46 WHERE hepatic_disease = 1 OR renal_disease = 1 OR muscular_disease = 1 OR neuromuscular_disease = 1 OR hematologic_disease = 1 OR active_oncologic_disease = 1
[ 258, 79, 1512, 11, 44375, 11, 27014, 1220, 11943, 296, 385, 10440, 11, 393, 4075, 339, 6759, 20781, 1220, 319, 66, 20781, 4369, 46506, 1635, 16034, 3084, 62, 7959, 62, 3510, 33411, 47585, 1512, 62, 67, 786, 589, 796, 352, 6375, 44375, 62, 67, 786, 589, 796, 352, 6375, 27014, 62, 67, 786, 589, 796, 352, 6375, 11943, 296, 385, 10440, 62, 67, 786, 589, 796, 352, 6375, 339, 6759, 20781, 62, 67, 786, 589, 796, 352, 6375, 4075, 62, 261, 66, 20781, 62, 67, 786, 589, 796, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 258, 79, 1512, 11, 44375, 11, 27014, 1220, 11943, 296, 385, 10440, 11, 393, 4075, 339, 6759, 20781, 1220, 319, 66, 20781, 4369, 46506, 1635, 16034, 3084, 62, 7959, 62, 3510, 33411, 47585, 1512, 62, 67, 786, 589, 796, 352, 6375, 44375, 62, 67, 786, 589, 796, 352, 6375, 27014, 62, 67, 786, 589, 796, 352, 6375, 11943, 296, 385, 10440, 62, 67, 786, 589, 796, 352, 6375, 339, 6759, 20781, 62, 67, 786, 589, 796, 352, 6375, 4075, 62, 261, 66, 20781, 62, 67, 786, 589, 796, 352 ]
What was the score in the Tournament of Frankfurt?
SELECT "Score" FROM table_55858 WHERE "Tournament" = 'frankfurt'
[ 2061, 373, 262, 4776, 287, 262, 9595, 286, 31970, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 40486, 3365, 33411, 366, 51, 5138, 1, 796, 705, 8310, 962, 29205, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 4776, 287, 262, 9595, 286, 31970, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 40486, 3365, 33411, 366, 51, 5138, 1, 796, 705, 8310, 962, 29205, 6 ]
how many schedule entries are there ?
SELECT COUNT(*) FROM table_204_157
[ 4919, 867, 7269, 12784, 389, 612, 5633, 46506, 327, 28270, 7, 28104, 16034, 3084, 62, 18638, 62, 18458 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 7269, 12784, 389, 612, 5633, 46506, 327, 28270, 7, 28104, 16034, 3084, 62, 18638, 62, 18458 ]
Which city has frequency under 106.5MHz and a callsign of w218ck?
SELECT city_of_license FROM table_name_31 WHERE frequency_mhz < 106.5 AND call_sign = "w218ck"
[ 13828, 1748, 468, 8373, 739, 15696, 13, 20, 25983, 290, 257, 3848, 570, 286, 266, 28727, 694, 30, 46506, 1748, 62, 1659, 62, 43085, 16034, 3084, 62, 3672, 62, 3132, 33411, 8373, 62, 76, 32179, 1279, 15696, 13, 20, 5357, 869, 62, 12683, 796, 366, 86, 28727, 694, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8373, 739, 15696, 13, 20, 25983, 290, 257, 3848, 570, 286, 266, 28727, 694, 30, 46506, 1748, 62, 1659, 62, 43085, 16034, 3084, 62, 3672, 62, 3132, 33411, 8373, 62, 76, 32179, 1279, 15696, 13, 20, 5357, 869, 62, 12683, 796, 366, 86, 28727, 694, 1 ]
what was the top three diagnosis with the highest five year mortality rate?
SELECT t4.diagnosisname FROM (SELECT t3.diagnosisname, DENSE_RANK() OVER (ORDER BY t3.c1 DESC) AS c2 FROM (SELECT t2.diagnosisname, 100 - SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t2.diagnosistime) > 5 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) AS c1 FROM (SELECT t1.uniquepid, t1.diagnosisname, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid GROUP BY patient.uniquepid, diagnosis.diagnosisname HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.diagnosistime) > 5 * 365) AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid GROUP BY t2.diagnosisname) AS t3) AS t4 WHERE t4.c2 <= 3
[ 10919, 373, 262, 1353, 1115, 13669, 351, 262, 4511, 1936, 614, 12430, 2494, 30, 46506, 256, 19, 13, 47356, 5958, 3672, 16034, 357, 46506, 256, 18, 13, 47356, 5958, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 256, 18, 13, 66, 16, 22196, 34, 8, 7054, 269, 17, 16034, 357, 46506, 256, 17, 13, 47356, 5958, 3672, 11, 1802, 532, 35683, 7, 34, 11159, 42099, 5827, 13, 49257, 6381, 11121, 395, 7240, 796, 705, 282, 425, 6, 42243, 352, 42099, 19269, 9792, 12789, 10786, 4, 73, 3256, 5827, 13, 49257, 6381, 354, 7641, 524, 8 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 262, 1353, 1115, 13669, 351, 262, 4511, 1936, 614, 12430, 2494, 30, 46506, 256, 19, 13, 47356, 5958, 3672, 16034, 357, 46506, 256, 18, 13, 47356, 5958, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 256, 18, 13, 66, 16, 22196, 34, 8, 7054, 269, 17, 16034, 357, 46506, 256, 17, 13, 47356, 5958, 3672, 11, 1802, 532, 35683, 7, 34, 11159, 42099, 5827, 13, 49257, 6381, 11121, 395, 7240, 796, 705, 282, 425, 6, 42243, 352, 42099, 19269, 9792, 12789, 10786, 4, 73, 3256, 5827, 13, 49257, 6381, 354, 7641, 524, 8 ]
What was sweden's score in T9 place?
SELECT "Score" FROM table_60367 WHERE "Place" = 't9' AND "Country" = 'sweden'
[ 2061, 373, 1509, 31829, 338, 4776, 287, 309, 24, 1295, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 1899, 27824, 33411, 366, 27271, 1, 796, 705, 83, 24, 6, 5357, 366, 33921, 1, 796, 705, 2032, 31829, 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 ]
[ 2061, 373, 1509, 31829, 338, 4776, 287, 309, 24, 1295, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 1899, 27824, 33411, 366, 27271, 1, 796, 705, 83, 24, 6, 5357, 366, 33921, 1, 796, 705, 2032, 31829, 6 ]
Which Hanya has an area of 19.3888?
SELECT hanyu FROM table_name_59 WHERE area__km²_ = 19.3888
[ 13828, 367, 34183, 468, 281, 1989, 286, 678, 13, 2548, 3459, 30, 46506, 289, 1092, 84, 16034, 3084, 62, 3672, 62, 3270, 33411, 1989, 834, 13276, 31185, 62, 796, 678, 13, 2548, 3459 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 367, 34183, 468, 281, 1989, 286, 678, 13, 2548, 3459, 30, 46506, 289, 1092, 84, 16034, 3084, 62, 3672, 62, 3270, 33411, 1989, 834, 13276, 31185, 62, 796, 678, 13, 2548, 3459 ]
what is the total number of years ?
SELECT COUNT("year") FROM table_204_172
[ 10919, 318, 262, 2472, 1271, 286, 812, 5633, 46506, 327, 28270, 7203, 1941, 4943, 16034, 3084, 62, 18638, 62, 23628 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 2472, 1271, 286, 812, 5633, 46506, 327, 28270, 7203, 1941, 4943, 16034, 3084, 62, 18638, 62, 23628 ]
What is the length of the 6 Hours of Talladega?
SELECT "Length" FROM table_37439 WHERE "Race" = '6 hours of talladega'
[ 2061, 318, 262, 4129, 286, 262, 718, 19347, 286, 22676, 671, 4908, 30, 46506, 366, 24539, 1, 16034, 3084, 62, 31020, 2670, 33411, 366, 35157, 1, 796, 705, 21, 2250, 286, 7331, 671, 4908, 6 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4129, 286, 262, 718, 19347, 286, 22676, 671, 4908, 30, 46506, 366, 24539, 1, 16034, 3084, 62, 31020, 2670, 33411, 366, 35157, 1, 796, 705, 21, 2250, 286, 7331, 671, 4908, 6 ]
Find the number of rooms with price higher than 120 for different decor Show bar chart, and list by the Y in descending.
SELECT decor, COUNT(*) FROM Rooms WHERE basePrice > 120 GROUP BY decor ORDER BY COUNT(*) DESC
[ 16742, 262, 1271, 286, 9519, 351, 2756, 2440, 621, 7982, 329, 1180, 11705, 5438, 2318, 8262, 11, 290, 1351, 416, 262, 575, 287, 31491, 13, 46506, 11705, 11, 327, 28270, 7, 28104, 16034, 42043, 33411, 2779, 18124, 1875, 7982, 44441, 11050, 11705, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 262, 1271, 286, 9519, 351, 2756, 2440, 621, 7982, 329, 1180, 11705, 5438, 2318, 8262, 11, 290, 1351, 416, 262, 575, 287, 31491, 13, 46506, 11705, 11, 327, 28270, 7, 28104, 16034, 42043, 33411, 2779, 18124, 1875, 7982, 44441, 11050, 11705, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
Which Event has a Resolution of loss, and a Record of 12 2?
SELECT "Event" FROM table_34325 WHERE "Res." = 'loss' AND "Record" = '12–2'
[ 13828, 8558, 468, 257, 22406, 286, 2994, 11, 290, 257, 13266, 286, 1105, 362, 30, 46506, 366, 9237, 1, 16034, 3084, 62, 2682, 26582, 33411, 366, 4965, 526, 796, 705, 22462, 6, 5357, 366, 23739, 1, 796, 705, 1065, 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 ]
[ 13828, 8558, 468, 257, 22406, 286, 2994, 11, 290, 257, 13266, 286, 1105, 362, 30, 46506, 366, 9237, 1, 16034, 3084, 62, 2682, 26582, 33411, 366, 4965, 526, 796, 705, 22462, 6, 5357, 366, 23739, 1, 796, 705, 1065, 1906, 17, 6 ]
Are there any Modern English Grammar courses that complete the Other requirement ?
SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Modern English Grammar%' OR course.description LIKE '%Modern English Grammar%' OR course.name LIKE '%Modern English Grammar%') AND program_course.category LIKE '%Other%'
[ 8491, 612, 597, 12495, 3594, 20159, 3876, 10902, 326, 1844, 262, 3819, 9079, 5633, 46506, 360, 8808, 1268, 4177, 1781, 13, 10378, 1823, 11, 1781, 13, 3672, 11, 1781, 13, 17618, 16034, 1781, 3268, 21479, 32357, 1268, 1989, 6177, 1781, 13, 17319, 62, 312, 796, 1989, 13, 17319, 62, 312, 3268, 21479, 32357, 1268, 1430, 62, 17319, 6177, 1430, 62, 17319, 13, 17319, 62, 312, 796, 1781, 13, 17319, 62, 312, 33411, 357, 20337, 13, 20337, 34178, 705, 4, 31439, 3594, 20159, 3876, 4, 6, 6375, 1781, 13, 11213, 34178, 705, 4, 31439, 3594, 20159, 3876, 4, 6, 6375, 1781 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8491, 612, 597, 12495, 3594, 20159, 3876, 10902, 326, 1844, 262, 3819, 9079, 5633, 46506, 360, 8808, 1268, 4177, 1781, 13, 10378, 1823, 11, 1781, 13, 3672, 11, 1781, 13, 17618, 16034, 1781, 3268, 21479, 32357, 1268, 1989, 6177, 1781, 13, 17319, 62, 312, 796, 1989, 13, 17319, 62, 312, 3268, 21479, 32357, 1268, 1430, 62, 17319, 6177, 1430, 62, 17319, 13, 17319, 62, 312, 796, 1781, 13, 17319, 62, 312, 33411, 357, 20337, 13, 20337, 34178, 705, 4, 31439, 3594, 20159, 3876, 4, 6, 6375, 1781, 13, 11213, 34178, 705, 4, 31439, 3594, 20159, 3876, 4, 6, 6375, 1781 ]
What is the title when 2.50 is u.s. viewers (in millions)?
SELECT title FROM table_23499946_1 WHERE us_viewers__in_millions_ = "2.50"
[ 2061, 318, 262, 3670, 618, 362, 13, 1120, 318, 334, 13, 82, 13, 10209, 357, 259, 5242, 19427, 46506, 3670, 16034, 3084, 62, 24409, 17032, 3510, 62, 16, 33411, 514, 62, 1177, 364, 834, 259, 62, 17805, 507, 62, 796, 366, 17, 13, 1120, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 618, 362, 13, 1120, 318, 334, 13, 82, 13, 10209, 357, 259, 5242, 19427, 46506, 3670, 16034, 3084, 62, 24409, 17032, 3510, 62, 16, 33411, 514, 62, 1177, 364, 834, 259, 62, 17805, 507, 62, 796, 366, 17, 13, 1120, 1 ]
What is the constructor on the team with 8 rounds and a chassis of 156 158 1512?
SELECT constructor FROM table_name_54 WHERE rounds = "8" AND chassis = "156 158 1512"
[ 2061, 318, 262, 23772, 319, 262, 1074, 351, 807, 9196, 290, 257, 24587, 286, 23871, 24063, 1315, 1065, 30, 46506, 23772, 16034, 3084, 62, 3672, 62, 4051, 33411, 9196, 796, 366, 23, 1, 5357, 24587, 796, 366, 21599, 24063, 1315, 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, 318, 262, 23772, 319, 262, 1074, 351, 807, 9196, 290, 257, 24587, 286, 23871, 24063, 1315, 1065, 30, 46506, 23772, 16034, 3084, 62, 3672, 62, 4051, 33411, 9196, 796, 366, 23, 1, 5357, 24587, 796, 366, 21599, 24063, 1315, 1065, 1 ]
provide the number of patients whose age is less than 55 and procedure long title is open and other replacement of aortic valve with tissue graft?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "55" AND procedures.long_title = "Open and other replacement of aortic valve with tissue graft"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 2479, 318, 1342, 621, 5996, 290, 8771, 890, 3670, 318, 1280, 290, 584, 9014, 286, 257, 419, 291, 22580, 351, 10712, 38455, 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, 496, 1279, 366, 2816, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 11505, 290, 584, 9014, 286, 257, 419, 291, 22580, 351, 10712, 38455, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 2479, 318, 1342, 621, 5996, 290, 8771, 890, 3670, 318, 1280, 290, 584, 9014, 286, 257, 419, 291, 22580, 351, 10712, 38455, 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, 496, 1279, 366, 2816, 1, 5357, 9021, 13, 6511, 62, 7839, 796, 366, 11505, 290, 584, 9014, 286, 257, 419, 291, 22580, 351, 10712, 38455, 1 ]
If the average start is 11.8, what was the team name?
SELECT team_s_ FROM table_2190919_3 WHERE avg_start = "11.8"
[ 1532, 262, 2811, 923, 318, 1367, 13, 23, 11, 644, 373, 262, 1074, 1438, 30, 46506, 1074, 62, 82, 62, 16034, 3084, 62, 28896, 2931, 1129, 62, 18, 33411, 42781, 62, 9688, 796, 366, 1157, 13, 23, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1532, 262, 2811, 923, 318, 1367, 13, 23, 11, 644, 373, 262, 1074, 1438, 30, 46506, 1074, 62, 82, 62, 16034, 3084, 62, 28896, 2931, 1129, 62, 18, 33411, 42781, 62, 9688, 796, 366, 1157, 13, 23, 1 ]
List the top 10 customers by total gross sales. Compare the total gross sales of customers by their first name.
SELECT first_name, SUM(T2.total) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY SUM(T2.total) DESC LIMIT 10
[ 8053, 262, 1353, 838, 4297, 416, 2472, 10319, 4200, 13, 27814, 262, 2472, 10319, 4200, 286, 4297, 416, 511, 717, 1438, 13, 46506, 717, 62, 3672, 11, 35683, 7, 51, 17, 13, 23350, 8, 16034, 4297, 7054, 309, 16, 32357, 1268, 800, 78, 1063, 7054, 309, 17, 6177, 309, 17, 13, 23144, 263, 62, 312, 796, 309, 16, 13, 312, 44441, 11050, 309, 16, 13, 312, 38678, 11050, 35683, 7, 51, 17, 13, 23350, 8, 22196, 34, 27564, 2043, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8053, 262, 1353, 838, 4297, 416, 2472, 10319, 4200, 13, 27814, 262, 2472, 10319, 4200, 286, 4297, 416, 511, 717, 1438, 13, 46506, 717, 62, 3672, 11, 35683, 7, 51, 17, 13, 23350, 8, 16034, 4297, 7054, 309, 16, 32357, 1268, 800, 78, 1063, 7054, 309, 17, 6177, 309, 17, 13, 23144, 263, 62, 312, 796, 309, 16, 13, 312, 44441, 11050, 309, 16, 13, 312, 38678, 11050, 35683, 7, 51, 17, 13, 23350, 8, 22196, 34, 27564, 2043, 838 ]
what school had the most wins overall ?
SELECT "school" FROM table_204_898 ORDER BY "conf (overall)" DESC LIMIT 1
[ 10919, 1524, 550, 262, 749, 7864, 4045, 5633, 46506, 366, 14347, 1, 16034, 3084, 62, 18638, 62, 23, 4089, 38678, 11050, 366, 10414, 357, 2502, 439, 16725, 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 ]
[ 10919, 1524, 550, 262, 749, 7864, 4045, 5633, 46506, 366, 14347, 1, 16034, 3084, 62, 18638, 62, 23, 4089, 38678, 11050, 366, 10414, 357, 2502, 439, 16725, 22196, 34, 27564, 2043, 352 ]
What is the record when the visitor was Nashville?
SELECT record FROM table_name_82 WHERE visitor = "nashville"
[ 2061, 318, 262, 1700, 618, 262, 21493, 373, 19250, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 6469, 33411, 21493, 796, 366, 77, 1077, 4244, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1700, 618, 262, 21493, 373, 19250, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 6469, 33411, 21493, 796, 366, 77, 1077, 4244, 1 ]
What is listed under the Years as tallest, that has Floors of 31?
SELECT years_as_tallest FROM table_name_83 WHERE floors = 31
[ 2061, 318, 5610, 739, 262, 13212, 355, 38760, 11, 326, 468, 29075, 669, 286, 3261, 30, 46506, 812, 62, 292, 62, 35429, 395, 16034, 3084, 62, 3672, 62, 5999, 33411, 18570, 796, 3261 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 5610, 739, 262, 13212, 355, 38760, 11, 326, 468, 29075, 669, 286, 3261, 30, 46506, 812, 62, 292, 62, 35429, 395, 16034, 3084, 62, 3672, 62, 5999, 33411, 18570, 796, 3261 ]
Tell me the average heat rank for time less than 24.02 and lane of 1
SELECT AVG(heat_rank) FROM table_name_15 WHERE time < 24.02 AND lane = 1
[ 24446, 502, 262, 2811, 4894, 4279, 329, 640, 1342, 621, 1987, 13, 2999, 290, 11193, 286, 352, 46506, 35224, 7, 25080, 62, 43027, 8, 16034, 3084, 62, 3672, 62, 1314, 33411, 640, 1279, 1987, 13, 2999, 5357, 11193, 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 ]
[ 24446, 502, 262, 2811, 4894, 4279, 329, 640, 1342, 621, 1987, 13, 2999, 290, 11193, 286, 352, 46506, 35224, 7, 25080, 62, 43027, 8, 16034, 3084, 62, 3672, 62, 1314, 33411, 640, 1279, 1987, 13, 2999, 5357, 11193, 796, 352 ]
What was the parent magazine of the magazine that was first published on december 16, 2004?
SELECT "Parent magazine" FROM table_47319 WHERE "First published" = 'december 16, 2004'
[ 2061, 373, 262, 2560, 7093, 286, 262, 7093, 326, 373, 717, 3199, 319, 390, 3273, 1467, 11, 5472, 30, 46506, 366, 24546, 7093, 1, 16034, 3084, 62, 2857, 35175, 33411, 366, 5962, 3199, 1, 796, 705, 2934, 3273, 1467, 11, 5472, 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 ]
[ 2061, 373, 262, 2560, 7093, 286, 262, 7093, 326, 373, 717, 3199, 319, 390, 3273, 1467, 11, 5472, 30, 46506, 366, 24546, 7093, 1, 16034, 3084, 62, 2857, 35175, 33411, 366, 5962, 3199, 1, 796, 705, 2934, 3273, 1467, 11, 5472, 6 ]
provide the number of patients who were admitted before 2190 with a delta abnormal lab test.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2190" AND lab.flag = "delta"
[ 15234, 485, 262, 1271, 286, 3871, 508, 547, 6848, 878, 362, 19782, 351, 257, 25979, 18801, 2248, 1332, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 76, 414, 451, 1279, 366, 17, 19782, 1, 5357, 2248, 13, 32109, 796, 366, 67, 12514, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 6848, 878, 362, 19782, 351, 257, 25979, 18801, 2248, 1332, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 324, 76, 414, 451, 1279, 366, 17, 19782, 1, 5357, 2248, 13, 32109, 796, 366, 67, 12514, 1 ]
How many teams are #2 on the list?
SELECT COUNT(records) FROM table_15313204_1 WHERE _number = 2
[ 2437, 867, 3466, 389, 1303, 17, 319, 262, 1351, 30, 46506, 327, 28270, 7, 8344, 3669, 8, 16034, 3084, 62, 21395, 1485, 18638, 62, 16, 33411, 4808, 17618, 796, 362 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 3466, 389, 1303, 17, 319, 262, 1351, 30, 46506, 327, 28270, 7, 8344, 3669, 8, 16034, 3084, 62, 21395, 1485, 18638, 62, 16, 33411, 4808, 17618, 796, 362 ]
What hometown is Kyle love from?
SELECT hometown FROM table_name_47 WHERE name = "kyle love"
[ 2061, 20994, 318, 14316, 1842, 422, 30, 46506, 20994, 16034, 3084, 62, 3672, 62, 2857, 33411, 1438, 796, 366, 74, 2349, 1842, 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, 20994, 318, 14316, 1842, 422, 30, 46506, 20994, 16034, 3084, 62, 3672, 62, 2857, 33411, 1438, 796, 366, 74, 2349, 1842, 1 ]
what were the top five most common medications that followed during the same month for patients who were prescribed ascorbic acid (liquid) until 2104?
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'ascorbic acid (liquid)' AND STRFTIME('%y', prescriptions.startdate) <= '2104') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) <= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND DATETIME(t1.startdate, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5
[ 10919, 547, 262, 1353, 1936, 749, 2219, 17638, 326, 3940, 1141, 262, 976, 1227, 329, 3871, 508, 547, 14798, 355, 10215, 65, 291, 7408, 357, 39250, 8, 1566, 362, 13464, 30, 46506, 256, 18, 13, 30349, 16034, 357, 46506, 256, 17, 13, 30349, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 34092, 13, 9688, 4475, 16034, 34092, 32357, 1268, 25349, 6177, 34092, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 34092, 13 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 547, 262, 1353, 1936, 749, 2219, 17638, 326, 3940, 1141, 262, 976, 1227, 329, 3871, 508, 547, 14798, 355, 10215, 65, 291, 7408, 357, 39250, 8, 1566, 362, 13464, 30, 46506, 256, 18, 13, 30349, 16034, 357, 46506, 256, 17, 13, 30349, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 34092, 13, 9688, 4475, 16034, 34092, 32357, 1268, 25349, 6177, 34092, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 34092, 13 ]
what was the name of the procedure that was given two times to patient 51200 a month before?
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 51200) AND DATETIME(procedures_icd.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2)
[ 10919, 373, 262, 1438, 286, 262, 8771, 326, 373, 1813, 734, 1661, 284, 5827, 22243, 405, 257, 1227, 878, 30, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 256, 16, 13, 291, 67, 24, 62, 8189, 16034, 357, 46506, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 11, 327, 28270, 7, 1676, 771, 942, 62, 291, 67, 13, 40926, 2435, 8, 7054, 269, 16, 16034, 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, 262, 1438, 286, 262, 8771, 326, 373, 1813, 734, 1661, 284, 5827, 22243, 405, 257, 1227, 878, 30, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 256, 16, 13, 291, 67, 24, 62, 8189, 16034, 357, 46506, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 11, 327, 28270, 7, 1676, 771, 942, 62, 291, 67, 13, 40926, 2435, 8, 7054, 269, 16, 16034, 9021 ]
What is the most points when the goals against are 354 and games less than 82?
SELECT MAX(points) FROM table_name_49 WHERE goals_against = 354 AND games < 82
[ 2061, 318, 262, 749, 2173, 618, 262, 4661, 1028, 389, 46752, 290, 1830, 1342, 621, 9415, 30, 46506, 25882, 7, 13033, 8, 16034, 3084, 62, 3672, 62, 2920, 33411, 4661, 62, 32826, 796, 46752, 5357, 1830, 1279, 9415 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 749, 2173, 618, 262, 4661, 1028, 389, 46752, 290, 1830, 1342, 621, 9415, 30, 46506, 25882, 7, 13033, 8, 16034, 3084, 62, 3672, 62, 2920, 33411, 4661, 62, 32826, 796, 46752, 5357, 1830, 1279, 9415 ]