instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
sequence | attention_mask
sequence | labels
sequence |
---|---|---|---|---|
what is the name of the procedure that patient 004-87703 has undergone two or more times since 04/2102? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, COUNT(treatment.treatmenttime) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-87703')) AND STRFTIME('%y-%m', treatment.treatmenttime) >= '2102-04' GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 >= 2 | [
10919,
318,
262,
1438,
286,
262,
8771,
326,
5827,
3571,
19,
12,
5774,
36809,
468,
29900,
734,
393,
517,
1661,
1201,
8702,
14,
17,
15377,
30,
46506,
256,
16,
13,
42487,
3672,
16034,
357,
46506,
3513,
13,
42487,
3672,
11,
327,
28270,
7,
42487,
13,
42487,
2435,
8,
7054,
269,
16,
16034,
3513,
33411,
3513,
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
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
1438,
286,
262,
8771,
326,
5827,
3571,
19,
12,
5774,
36809,
468,
29900,
734,
393,
517,
1661,
1201,
8702,
14,
17,
15377,
30,
46506,
256,
16,
13,
42487,
3672,
16034,
357,
46506,
3513,
13,
42487,
3672,
11,
327,
28270,
7,
42487,
13,
42487,
2435,
8,
7054,
269,
16,
16034,
3513,
33411,
3513,
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
] |
For those employees who did not have any job in the past, for department_id, hire_date, visualize the trend, order by the X in ascending. | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
329,
5011,
62,
312,
11,
11078,
62,
4475,
11,
38350,
262,
5182,
11,
1502,
416,
262,
1395,
287,
41988,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
5550,
30709,
10979,
62,
2389,
16034,
4409,
33411,
5626,
17228,
6489,
21414,
6500,
62,
2389,
3268,
357,
46506,
17228,
6489,
21414,
6500,
62,
2389,
16034,
1693,
62,
23569,
8,
38678,
11050,
36210,
2200,
62,
35,
6158
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
329,
5011,
62,
312,
11,
11078,
62,
4475,
11,
38350,
262,
5182,
11,
1502,
416,
262,
1395,
287,
41988,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
5550,
30709,
10979,
62,
2389,
16034,
4409,
33411,
5626,
17228,
6489,
21414,
6500,
62,
2389,
3268,
357,
46506,
17228,
6489,
21414,
6500,
62,
2389,
16034,
1693,
62,
23569,
8,
38678,
11050,
36210,
2200,
62,
35,
6158
] |
find travel arrangements for a round trip flight from BOSTON to PITTSBURGH arriving after 2000 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE ((NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.arrival_time > 2000 AND flight.flight_id = flight_fare.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' 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 | [
19796,
3067,
14752,
329,
257,
2835,
5296,
5474,
422,
347,
10892,
1340,
284,
49040,
4694,
38926,
17511,
14820,
706,
4751,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
14505,
11,
5474,
11,
5474,
62,
9496,
33411,
14808,
11929,
14505,
13,
744,
62,
39813,
62,
15805,
3180,
15697,
5357,
5474,
62,
9496,
13,
9496,
62,
312,
796,
14505,
13,
9496,
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
] | [
19796,
3067,
14752,
329,
257,
2835,
5296,
5474,
422,
347,
10892,
1340,
284,
49040,
4694,
38926,
17511,
14820,
706,
4751,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
14505,
11,
5474,
11,
5474,
62,
9496,
33411,
14808,
11929,
14505,
13,
744,
62,
39813,
62,
15805,
3180,
15697,
5357,
5474,
62,
9496,
13,
9496,
62,
312,
796,
14505,
13,
9496,
62,
312
] |
how many times did the hrt revas byps anas nec procedure take place until 2 years ago? | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'hrt revas byps anas nec') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year') | [
4919,
867,
1661,
750,
262,
289,
17034,
2710,
292,
416,
862,
281,
292,
27576,
8771,
1011,
1295,
1566,
362,
812,
2084,
30,
46506,
327,
28270,
7,
28104,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
796,
705,
11840,
83,
2710,
292,
416,
862,
281,
292,
27576,
11537,
5357,
360,
1404,
2767,
12789,
7
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1661,
750,
262,
289,
17034,
2710,
292,
416,
862,
281,
292,
27576,
8771,
1011,
1295,
1566,
362,
812,
2084,
30,
46506,
327,
28270,
7,
28104,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
796,
705,
11840,
83,
2710,
292,
416,
862,
281,
292,
27576,
11537,
5357,
360,
1404,
2767,
12789,
7
] |
How many points for 2005? | SELECT COUNT(points) FROM table_10705060_1 WHERE season = "2005" | [
2437,
867,
2173,
329,
5075,
30,
46506,
327,
28270,
7,
13033,
8,
16034,
3084,
62,
940,
2154,
1120,
1899,
62,
16,
33411,
1622,
796,
366,
14315,
1
] | [
1,
1,
1,
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,
2173,
329,
5075,
30,
46506,
327,
28270,
7,
13033,
8,
16034,
3084,
62,
940,
2154,
1120,
1899,
62,
16,
33411,
1622,
796,
366,
14315,
1
] |
Bar chart x axis nationality y axis mean meter 100, and I want to display in asc by the y-axis please. | SELECT Nationality, AVG(meter_100) FROM swimmer GROUP BY Nationality ORDER BY AVG(meter_100) | [
10374,
8262,
2124,
16488,
29835,
331,
16488,
1612,
16430,
1802,
11,
290,
314,
765,
284,
3359,
287,
10570,
416,
262,
331,
12,
22704,
3387,
13,
46506,
2351,
414,
11,
35224,
7,
27231,
62,
3064,
8,
16034,
9422,
647,
44441,
11050,
2351,
414,
38678,
11050,
35224,
7,
27231,
62,
3064,
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
] | [
10374,
8262,
2124,
16488,
29835,
331,
16488,
1612,
16430,
1802,
11,
290,
314,
765,
284,
3359,
287,
10570,
416,
262,
331,
12,
22704,
3387,
13,
46506,
2351,
414,
11,
35224,
7,
27231,
62,
3064,
8,
16034,
9422,
647,
44441,
11050,
2351,
414,
38678,
11050,
35224,
7,
27231,
62,
3064,
8
] |
When was John McEnroe's minimum year? | SELECT MIN("Year") FROM table_2646 | [
2215,
373,
1757,
1982,
4834,
20646,
338,
5288,
614,
30,
46506,
20625,
7203,
17688,
4943,
16034,
3084,
62,
2075,
3510
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
373,
1757,
1982,
4834,
20646,
338,
5288,
614,
30,
46506,
20625,
7203,
17688,
4943,
16034,
3084,
62,
2075,
3510
] |
let me know the location of admission and days for which walter locher stayed in hospital. | SELECT demographic.days_stay, demographic.admission_location FROM demographic WHERE demographic.name = "Walter Locher" | [
1616,
502,
760,
262,
4067,
286,
13938,
290,
1528,
329,
543,
6514,
353,
1179,
372,
9658,
287,
4436,
13,
46506,
16728,
13,
12545,
62,
31712,
11,
16728,
13,
324,
3411,
62,
24886,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
21902,
353,
15181,
372,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1616,
502,
760,
262,
4067,
286,
13938,
290,
1528,
329,
543,
6514,
353,
1179,
372,
9658,
287,
4436,
13,
46506,
16728,
13,
12545,
62,
31712,
11,
16728,
13,
324,
3411,
62,
24886,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
21902,
353,
15181,
372,
1
] |
what is the highest goals against when the wins is less than 1? | SELECT MAX(goals_against) FROM table_name_54 WHERE wins < 1 | [
10919,
318,
262,
4511,
4661,
1028,
618,
262,
7864,
318,
1342,
621,
352,
30,
46506,
25882,
7,
2188,
874,
62,
32826,
8,
16034,
3084,
62,
3672,
62,
4051,
33411,
7864,
1279,
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,
318,
262,
4511,
4661,
1028,
618,
262,
7864,
318,
1342,
621,
352,
30,
46506,
25882,
7,
2188,
874,
62,
32826,
8,
16034,
3084,
62,
3672,
62,
4051,
33411,
7864,
1279,
352
] |
How many total games were played by the team which had a total of 16 points and less than 4 draws? | SELECT SUM("Played") FROM table_14004 WHERE "Points" = '16' AND "Draws" < '4' | [
2437,
867,
2472,
1830,
547,
2826,
416,
262,
1074,
543,
550,
257,
2472,
286,
1467,
2173,
290,
1342,
621,
604,
14293,
30,
46506,
35683,
7203,
11002,
276,
4943,
16034,
3084,
62,
1415,
22914,
33411,
366,
40710,
1,
796,
705,
1433,
6,
5357,
366,
25302,
82,
1,
1279,
705,
19,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
2472,
1830,
547,
2826,
416,
262,
1074,
543,
550,
257,
2472,
286,
1467,
2173,
290,
1342,
621,
604,
14293,
30,
46506,
35683,
7203,
11002,
276,
4943,
16034,
3084,
62,
1415,
22914,
33411,
366,
40710,
1,
796,
705,
1433,
6,
5357,
366,
25302,
82,
1,
1279,
705,
19,
6
] |
what's last arterial bp mean value of patient 24220 on the first intensive care unit visit? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 24220) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 | [
10919,
338,
938,
30675,
498,
275,
79,
1612,
1988,
286,
5827,
1987,
17572,
319,
262,
717,
18590,
1337,
4326,
3187,
30,
46506,
8262,
31534,
13,
2100,
84,
44709,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
1987,
17572,
8,
5357,
5626,
14158,
436,
592,
13,
448,
2435,
3180,
15697,
38678,
11050,
14158,
436
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
338,
938,
30675,
498,
275,
79,
1612,
1988,
286,
5827,
1987,
17572,
319,
262,
717,
18590,
1337,
4326,
3187,
30,
46506,
8262,
31534,
13,
2100,
84,
44709,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
1987,
17572,
8,
5357,
5626,
14158,
436,
592,
13,
448,
2435,
3180,
15697,
38678,
11050,
14158,
436
] |
how many medications have been prescribed to patient 003-43270 in 2103? | SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '003-43270')) AND STRFTIME('%y', medication.drugstarttime) = '2103' | [
4919,
867,
17638,
423,
587,
14798,
284,
5827,
3571,
18,
12,
3559,
20233,
287,
362,
15197,
30,
46506,
327,
28270,
7,
28104,
16034,
14103,
33411,
14103,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
11245,
12,
3559,
20233,
6,
4008,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
14103,
13,
30349,
9688,
2435,
8,
796,
705,
17,
15197,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
17638,
423,
587,
14798,
284,
5827,
3571,
18,
12,
3559,
20233,
287,
362,
15197,
30,
46506,
327,
28270,
7,
28104,
16034,
14103,
33411,
14103,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
11245,
12,
3559,
20233,
6,
4008,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
14103,
13,
30349,
9688,
2435,
8,
796,
705,
17,
15197,
6
] |
What car was awarded sub 1 litre in 2000 (won by toyota 1sz-fe 1.0l yaris in 1999)? | SELECT 2000 FROM table_name_35 WHERE 1999 = "toyota 1sz-fe 1.0l yaris" AND category = "sub 1 litre" | [
2061,
1097,
373,
11343,
850,
352,
6578,
260,
287,
4751,
357,
26502,
416,
13373,
4265,
352,
82,
89,
12,
5036,
352,
13,
15,
75,
331,
20066,
287,
7358,
19427,
46506,
4751,
16034,
3084,
62,
3672,
62,
2327,
33411,
7358,
796,
366,
83,
726,
4265,
352,
82,
89,
12,
5036,
352,
13,
15,
75,
331,
20066,
1,
5357,
6536,
796,
366,
7266,
352,
6578,
260,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1097,
373,
11343,
850,
352,
6578,
260,
287,
4751,
357,
26502,
416,
13373,
4265,
352,
82,
89,
12,
5036,
352,
13,
15,
75,
331,
20066,
287,
7358,
19427,
46506,
4751,
16034,
3084,
62,
3672,
62,
2327,
33411,
7358,
796,
366,
83,
726,
4265,
352,
82,
89,
12,
5036,
352,
13,
15,
75,
331,
20066,
1,
5357,
6536,
796,
366,
7266,
352,
6578,
260,
1
] |
Which team had a game of 82? | SELECT team FROM table_name_60 WHERE game = 82 | [
13828,
1074,
550,
257,
983,
286,
9415,
30,
46506,
1074,
16034,
3084,
62,
3672,
62,
1899,
33411,
983,
796,
9415
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1074,
550,
257,
983,
286,
9415,
30,
46506,
1074,
16034,
3084,
62,
3672,
62,
1899,
33411,
983,
796,
9415
] |
What company constructed the vehicle when the driver shows as not held? | SELECT constructor FROM table_name_61 WHERE driver = "not held" | [
2061,
1664,
12006,
262,
4038,
618,
262,
4639,
2523,
355,
407,
2714,
30,
46506,
23772,
16034,
3084,
62,
3672,
62,
5333,
33411,
4639,
796,
366,
1662,
2714,
1
] | [
1,
1,
1,
1,
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,
1664,
12006,
262,
4038,
618,
262,
4639,
2523,
355,
407,
2714,
30,
46506,
23772,
16034,
3084,
62,
3672,
62,
5333,
33411,
4639,
796,
366,
1662,
2714,
1
] |
How many dorms are there for each gender? Show me a bar chart, and display in descending by the x axis. | SELECT gender, COUNT(*) FROM Dorm GROUP BY gender ORDER BY gender DESC | [
2437,
867,
18586,
82,
389,
612,
329,
1123,
5279,
30,
5438,
502,
257,
2318,
8262,
11,
290,
3359,
287,
31491,
416,
262,
2124,
16488,
13,
46506,
5279,
11,
327,
28270,
7,
28104,
16034,
360,
579,
44441,
11050,
5279,
38678,
11050,
5279,
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
] | [
2437,
867,
18586,
82,
389,
612,
329,
1123,
5279,
30,
5438,
502,
257,
2318,
8262,
11,
290,
3359,
287,
31491,
416,
262,
2124,
16488,
13,
46506,
5279,
11,
327,
28270,
7,
28104,
16034,
360,
579,
44441,
11050,
5279,
38678,
11050,
5279,
22196,
34
] |
Who went on a rampage in Baghdad? | SELECT "Perpetrator" FROM table_61818 WHERE "Location" = 'baghdad' | [
8241,
1816,
319,
257,
34040,
287,
19761,
30,
46506,
366,
5990,
6449,
12392,
1,
16034,
3084,
62,
47448,
1507,
33411,
366,
14749,
1,
796,
705,
65,
16650,
324,
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,
1816,
319,
257,
34040,
287,
19761,
30,
46506,
366,
5990,
6449,
12392,
1,
16034,
3084,
62,
47448,
1507,
33411,
366,
14749,
1,
796,
705,
65,
16650,
324,
6
] |
What was the average crowd size at Victoria Park? | SELECT AVG(crowd) FROM table_name_22 WHERE venue = "victoria park" | [
2061,
373,
262,
2811,
4315,
2546,
379,
12313,
3250,
30,
46506,
35224,
7,
66,
3986,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
14359,
796,
366,
32433,
7661,
3952,
1
] | [
1,
1,
1,
1,
1,
1,
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,
2811,
4315,
2546,
379,
12313,
3250,
30,
46506,
35224,
7,
66,
3986,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
14359,
796,
366,
32433,
7661,
3952,
1
] |
For those employees who was hired before 2002-06-21, give me the comparison about the average of employee_id over the hire_date bin hire_date by weekday by a bar chart. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
6538,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
28269,
416,
257,
2318,
8262,
13,
46506,
36210,
2200,
62,
35,
6158,
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
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
6538,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
28269,
416,
257,
2318,
8262,
13,
46506,
36210,
2200,
62,
35,
6158,
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
] |
what are the hospitals admission times of patient 002-35416 since 4 years ago? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '002-35416' AND DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-4 year') | [
10919,
389,
262,
11301,
13938,
1661,
286,
5827,
3571,
17,
12,
32182,
1433,
1201,
604,
812,
2084,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
21601,
12,
32182,
1433,
6,
5357,
360,
1404,
2767,
12789,
7,
26029,
13,
49257,
324,
20124,
524,
8,
18189,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
19,
614,
11537
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
389,
262,
11301,
13938,
1661,
286,
5827,
3571,
17,
12,
32182,
1433,
1201,
604,
812,
2084,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
21601,
12,
32182,
1433,
6,
5357,
360,
1404,
2767,
12789,
7,
26029,
13,
49257,
324,
20124,
524,
8,
18189,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
19,
614,
11537
] |
What was the fastest lap at the Mexican Grand Prix? | SELECT "Fastest Lap" FROM table_16672 WHERE "Grand Prix" = 'Mexican Grand Prix' | [
2061,
373,
262,
14162,
14779,
379,
262,
10816,
5675,
23832,
30,
46506,
366,
22968,
395,
26944,
1,
16034,
3084,
62,
1433,
43864,
33411,
366,
23581,
23832,
1,
796,
705,
24670,
7490,
5675,
23832,
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,
373,
262,
14162,
14779,
379,
262,
10816,
5675,
23832,
30,
46506,
366,
22968,
395,
26944,
1,
16034,
3084,
62,
1433,
43864,
33411,
366,
23581,
23832,
1,
796,
705,
24670,
7490,
5675,
23832,
6
] |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a scatter chart about the correlation between manager_id and department_id . | SELECT MANAGER_ID, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
38350,
257,
41058,
8262,
546,
262,
16096,
1022,
4706,
62,
312,
290,
5011,
62,
312,
764,
46506,
17254,
4760,
1137,
62,
2389,
11,
5550,
30709,
10979,
62,
2389,
16034,
4409,
33411,
5626,
5550,
30709,
10979,
62,
2389,
3268,
357,
46506,
5550,
30709,
10979,
62,
2389,
16034,
13346,
33411,
17254,
4760,
1137,
62,
2389,
38651,
8845,
1677,
1802,
5357,
939,
8
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
38350,
257,
41058,
8262,
546,
262,
16096,
1022,
4706,
62,
312,
290,
5011,
62,
312,
764,
46506,
17254,
4760,
1137,
62,
2389,
11,
5550,
30709,
10979,
62,
2389,
16034,
4409,
33411,
5626,
5550,
30709,
10979,
62,
2389,
3268,
357,
46506,
5550,
30709,
10979,
62,
2389,
16034,
13346,
33411,
17254,
4760,
1137,
62,
2389,
38651,
8845,
1677,
1802,
5357,
939,
8
] |
What position does alun wyn jones play? | SELECT "Position" FROM table_5319 WHERE "Player" = 'alun wyn jones' | [
2061,
2292,
857,
435,
403,
266,
2047,
474,
1952,
711,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
4310,
1129,
33411,
366,
14140,
1,
796,
705,
282,
403,
266,
2047,
474,
1952,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
2292,
857,
435,
403,
266,
2047,
474,
1952,
711,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
4310,
1129,
33411,
366,
14140,
1,
796,
705,
282,
403,
266,
2047,
474,
1952,
6
] |
how many patients are below 20 years of age with hospital stay above 7 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "20" AND demographic.days_stay > "7" | [
4919,
867,
3871,
389,
2174,
1160,
812,
286,
2479,
351,
4436,
2652,
2029,
767,
1528,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
496,
1279,
366,
1238,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
22,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
3871,
389,
2174,
1160,
812,
286,
2479,
351,
4436,
2652,
2029,
767,
1528,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
496,
1279,
366,
1238,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
22,
1
] |
During which round was a Hawkeyes player selected for the defensive back position? | SELECT "Round" FROM table_77983 WHERE "Position" = 'defensive back' | [
7191,
543,
2835,
373,
257,
6091,
43174,
2137,
6163,
329,
262,
6110,
736,
2292,
30,
46506,
366,
22685,
1,
16034,
3084,
62,
3324,
4089,
18,
33411,
366,
26545,
1,
796,
705,
4299,
2021,
736,
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
] | [
7191,
543,
2835,
373,
257,
6091,
43174,
2137,
6163,
329,
262,
6110,
736,
2292,
30,
46506,
366,
22685,
1,
16034,
3084,
62,
3324,
4089,
18,
33411,
366,
26545,
1,
796,
705,
4299,
2021,
736,
6
] |
Who was the lyricist for the song with music directed by madan mohan kohli? | SELECT "Lyricist" FROM table_27511 WHERE "Music Director" = 'Madan Mohan Kohli' | [
8241,
373,
262,
43086,
396,
329,
262,
3496,
351,
2647,
7924,
416,
8805,
272,
285,
22436,
479,
1219,
4528,
30,
46506,
366,
31633,
1173,
396,
1,
16034,
3084,
62,
23195,
1157,
33411,
366,
22648,
5890,
1,
796,
705,
18454,
272,
9719,
272,
24754,
4528,
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
] | [
8241,
373,
262,
43086,
396,
329,
262,
3496,
351,
2647,
7924,
416,
8805,
272,
285,
22436,
479,
1219,
4528,
30,
46506,
366,
31633,
1173,
396,
1,
16034,
3084,
62,
23195,
1157,
33411,
366,
22648,
5890,
1,
796,
705,
18454,
272,
9719,
272,
24754,
4528,
6
] |
What was the lowest city population for the district of rajanpur district with a area of 6 km squared and a serial number less than 29? | SELECT MIN("City Population (2009)") FROM table_64009 WHERE "City Area(km 2 )" = '6' AND "District" = 'rajanpur district' AND "Serial No." < '29' | [
2061,
373,
262,
9016,
1748,
3265,
329,
262,
4783,
286,
374,
1228,
272,
14225,
4783,
351,
257,
1989,
286,
718,
10571,
44345,
290,
257,
11389,
1271,
1342,
621,
2808,
30,
46506,
20625,
7203,
14941,
20133,
357,
10531,
8,
4943,
16034,
3084,
62,
2414,
28694,
33411,
366,
14941,
9498,
7,
13276,
362,
1267,
1,
796,
705,
21,
6,
5357,
366,
44857,
1,
796,
705,
430,
13881,
14225,
4783,
6,
5357,
366,
32634,
1400,
526,
1279,
705,
1959,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
9016,
1748,
3265,
329,
262,
4783,
286,
374,
1228,
272,
14225,
4783,
351,
257,
1989,
286,
718,
10571,
44345,
290,
257,
11389,
1271,
1342,
621,
2808,
30,
46506,
20625,
7203,
14941,
20133,
357,
10531,
8,
4943,
16034,
3084,
62,
2414,
28694,
33411,
366,
14941,
9498,
7,
13276,
362,
1267,
1,
796,
705,
21,
6,
5357,
366,
44857,
1,
796,
705,
430,
13881,
14225,
4783,
6,
5357,
366,
32634,
1400,
526,
1279,
705,
1959,
6
] |
tell me the top three procedures that were the most common this year. | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 3) | [
33331,
502,
262,
1353,
1115,
9021,
326,
547,
262,
749,
2219,
428,
614,
13,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
3268,
357,
46506,
256,
16,
13,
291,
67,
24,
62,
8189,
16034,
357,
46506,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
9021,
62
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
33331,
502,
262,
1353,
1115,
9021,
326,
547,
262,
749,
2219,
428,
614,
13,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
3268,
357,
46506,
256,
16,
13,
291,
67,
24,
62,
8189,
16034,
357,
46506,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
9021,
62
] |
What were the totals when the average is 6.25? | SELECT totals FROM table_28628309_6 WHERE average = "6.25" | [
2061,
547,
262,
26310,
618,
262,
2811,
318,
718,
13,
1495,
30,
46506,
26310,
16034,
3084,
62,
27033,
2078,
26895,
62,
21,
33411,
2811,
796,
366,
21,
13,
1495,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
547,
262,
26310,
618,
262,
2811,
318,
718,
13,
1495,
30,
46506,
26310,
16034,
3084,
62,
27033,
2078,
26895,
62,
21,
33411,
2811,
796,
366,
21,
13,
1495,
1
] |
Top Contributors in SharePoint SE. | SELECT * FROM Users | [
9126,
25767,
669,
287,
8734,
12727,
7946,
13,
46506,
1635,
16034,
18987
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9126,
25767,
669,
287,
8734,
12727,
7946,
13,
46506,
1635,
16034,
18987
] |
What is the Winner of the Event on September 26-30, 2012? | SELECT "Winner" FROM table_9716 WHERE "Date" = 'september 26-30, 2012' | [
2061,
318,
262,
25358,
286,
262,
8558,
319,
2693,
2608,
12,
1270,
11,
2321,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
5607,
1433,
33411,
366,
10430,
1,
796,
705,
325,
457,
1491,
2608,
12,
1270,
11,
2321,
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,
25358,
286,
262,
8558,
319,
2693,
2608,
12,
1270,
11,
2321,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
5607,
1433,
33411,
366,
10430,
1,
796,
705,
325,
457,
1491,
2608,
12,
1270,
11,
2321,
6
] |
What is the average population in 2006 that has more than 5 people in 2011 and an area 5.84km? | SELECT AVG("Population (2006)") FROM table_64225 WHERE "Population (2011)" > '5' AND "Area (km 2 )" = '5.84' | [
2061,
318,
262,
2811,
3265,
287,
4793,
326,
468,
517,
621,
642,
661,
287,
2813,
290,
281,
1989,
642,
13,
5705,
13276,
30,
46506,
35224,
7203,
45251,
357,
13330,
8,
4943,
16034,
3084,
62,
2414,
18182,
33411,
366,
45251,
357,
9804,
16725,
1875,
705,
20,
6,
5357,
366,
30547,
357,
13276,
362,
1267,
1,
796,
705,
20,
13,
5705,
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
] | [
2061,
318,
262,
2811,
3265,
287,
4793,
326,
468,
517,
621,
642,
661,
287,
2813,
290,
281,
1989,
642,
13,
5705,
13276,
30,
46506,
35224,
7203,
45251,
357,
13330,
8,
4943,
16034,
3084,
62,
2414,
18182,
33411,
366,
45251,
357,
9804,
16725,
1875,
705,
20,
6,
5357,
366,
30547,
357,
13276,
362,
1267,
1,
796,
705,
20,
13,
5705,
6
] |
What circuit was on June 1 with a class of both? | SELECT "Circuit" FROM table_12031 WHERE "Class" = 'both' AND "Date" = 'june 1' | [
2061,
10349,
373,
319,
2795,
352,
351,
257,
1398,
286,
1111,
30,
46506,
366,
31560,
5013,
1,
16034,
3084,
62,
1065,
43637,
33411,
366,
9487,
1,
796,
705,
16885,
6,
5357,
366,
10430,
1,
796,
705,
73,
1726,
352,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
10349,
373,
319,
2795,
352,
351,
257,
1398,
286,
1111,
30,
46506,
366,
31560,
5013,
1,
16034,
3084,
62,
1065,
43637,
33411,
366,
9487,
1,
796,
705,
16885,
6,
5357,
366,
10430,
1,
796,
705,
73,
1726,
352,
6
] |
On what date was the match against the St. George Illawarra Dragons? | SELECT date FROM table_name_37 WHERE opponent = "st. george illawarra dragons" | [
2202,
644,
3128,
373,
262,
2872,
1028,
262,
520,
13,
4502,
5821,
48841,
430,
19075,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2718,
33411,
6125,
796,
366,
301,
13,
4903,
3643,
2801,
48841,
430,
20308,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2202,
644,
3128,
373,
262,
2872,
1028,
262,
520,
13,
4502,
5821,
48841,
430,
19075,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2718,
33411,
6125,
796,
366,
301,
13,
4903,
3643,
2801,
48841,
430,
20308,
1
] |
how many fumble recoveries did this player have in 2004 ? | SELECT "fumble recoveries" FROM table_204_756 WHERE "year" = 2004 | [
4919,
867,
41405,
8551,
444,
750,
428,
2137,
423,
287,
5472,
5633,
46506,
366,
69,
10344,
8551,
444,
1,
16034,
3084,
62,
18638,
62,
38219,
33411,
366,
1941,
1,
796,
5472
] | [
1,
1,
1,
1,
1,
1,
1,
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,
41405,
8551,
444,
750,
428,
2137,
423,
287,
5472,
5633,
46506,
366,
69,
10344,
8551,
444,
1,
16034,
3084,
62,
18638,
62,
38219,
33411,
366,
1941,
1,
796,
5472
] |
which hawker had more in service . the hawker hart or the hawker hind ? | SELECT "name" FROM table_204_161 WHERE "name" IN ('hawker hart', 'hawker hind') ORDER BY "#\nused" DESC LIMIT 1 | [
4758,
23185,
6122,
550,
517,
287,
2139,
764,
262,
23185,
6122,
289,
433,
393,
262,
23185,
6122,
16222,
5633,
46506,
366,
3672,
1,
16034,
3084,
62,
18638,
62,
25948,
33411,
366,
3672,
1,
3268,
19203,
26615,
6122,
289,
433,
3256,
705,
26615,
6122,
16222,
11537,
38678,
11050,
25113,
59,
77,
1484,
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,
1,
1,
1,
1,
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,
23185,
6122,
550,
517,
287,
2139,
764,
262,
23185,
6122,
289,
433,
393,
262,
23185,
6122,
16222,
5633,
46506,
366,
3672,
1,
16034,
3084,
62,
18638,
62,
25948,
33411,
366,
3672,
1,
3268,
19203,
26615,
6122,
289,
433,
3256,
705,
26615,
6122,
16222,
11537,
38678,
11050,
25113,
59,
77,
1484,
1,
22196,
34,
27564,
2043,
352
] |
What is the record for the game with an attendance of 11,141? | SELECT "Record" FROM table_80425 WHERE "Attendance" = '11,141' | [
2061,
318,
262,
1700,
329,
262,
983,
351,
281,
14858,
286,
1367,
11,
23756,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
1795,
32114,
33411,
366,
8086,
437,
590,
1,
796,
705,
1157,
11,
23756,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1700,
329,
262,
983,
351,
281,
14858,
286,
1367,
11,
23756,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
1795,
32114,
33411,
366,
8086,
437,
590,
1,
796,
705,
1157,
11,
23756,
6
] |
Show the number of games for each home team in a bar chart, and could you show X in desc order? | SELECT Home_team, COUNT(Home_team) FROM game GROUP BY Home_team ORDER BY Home_team DESC | [
15307,
262,
1271,
286,
1830,
329,
1123,
1363,
1074,
287,
257,
2318,
8262,
11,
290,
714,
345,
905,
1395,
287,
1715,
1502,
30,
46506,
5995,
62,
15097,
11,
327,
28270,
7,
16060,
62,
15097,
8,
16034,
983,
44441,
11050,
5995,
62,
15097,
38678,
11050,
5995,
62,
15097,
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
] | [
15307,
262,
1271,
286,
1830,
329,
1123,
1363,
1074,
287,
257,
2318,
8262,
11,
290,
714,
345,
905,
1395,
287,
1715,
1502,
30,
46506,
5995,
62,
15097,
11,
327,
28270,
7,
16060,
62,
15097,
8,
16034,
983,
44441,
11050,
5995,
62,
15097,
38678,
11050,
5995,
62,
15097,
22196,
34
] |
what is drug code of drug name topiramate (topamax)? | SELECT prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.drug = "Topiramate (Topamax)" | [
10919,
318,
2563,
2438,
286,
2563,
1438,
1353,
343,
36754,
357,
4852,
321,
897,
19427,
46506,
34092,
13,
687,
377,
560,
62,
30349,
62,
10210,
16034,
34092,
33411,
34092,
13,
30349,
796,
366,
9126,
343,
36754,
357,
9126,
321,
897,
16725
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2563,
2438,
286,
2563,
1438,
1353,
343,
36754,
357,
4852,
321,
897,
19427,
46506,
34092,
13,
687,
377,
560,
62,
30349,
62,
10210,
16034,
34092,
33411,
34092,
13,
30349,
796,
366,
9126,
343,
36754,
357,
9126,
321,
897,
16725
] |
If the name is Timo Higgins, what is the total date of birth amount? | SELECT COUNT("Date of Birth") FROM table_24925 WHERE "Name" = 'Timo Higgins' | [
1532,
262,
1438,
318,
5045,
78,
39043,
11,
644,
318,
262,
2472,
3128,
286,
4082,
2033,
30,
46506,
327,
28270,
7203,
10430,
286,
17647,
4943,
16034,
3084,
62,
21626,
1495,
33411,
366,
5376,
1,
796,
705,
14967,
78,
39043,
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
] | [
1532,
262,
1438,
318,
5045,
78,
39043,
11,
644,
318,
262,
2472,
3128,
286,
4082,
2033,
30,
46506,
327,
28270,
7203,
10430,
286,
17647,
4943,
16034,
3084,
62,
21626,
1495,
33411,
366,
5376,
1,
796,
705,
14967,
78,
39043,
6
] |
Show me how many in each class of all races using a bar chart, and I want to order in descending by the Class. | SELECT Class, COUNT(Class) FROM race GROUP BY Class ORDER BY Class DESC | [
15307,
502,
703,
867,
287,
1123,
1398,
286,
477,
9558,
1262,
257,
2318,
8262,
11,
290,
314,
765,
284,
1502,
287,
31491,
416,
262,
5016,
13,
46506,
5016,
11,
327,
28270,
7,
9487,
8,
16034,
3234,
44441,
11050,
5016,
38678,
11050,
5016,
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
] | [
15307,
502,
703,
867,
287,
1123,
1398,
286,
477,
9558,
1262,
257,
2318,
8262,
11,
290,
314,
765,
284,
1502,
287,
31491,
416,
262,
5016,
13,
46506,
5016,
11,
327,
28270,
7,
9487,
8,
16034,
3234,
44441,
11050,
5016,
38678,
11050,
5016,
22196,
34
] |
What is the highest rank of a company in the oil and gas industry headquartered in Netherlands? | SELECT MAX("Rank") FROM table_21120 WHERE "Industry" = 'Oil and gas' AND "Headquarters" = 'Netherlands' | [
2061,
318,
262,
4511,
4279,
286,
257,
1664,
287,
262,
3056,
290,
3623,
2831,
48583,
287,
12671,
30,
46506,
25882,
7203,
27520,
4943,
16034,
3084,
62,
2481,
10232,
33411,
366,
35848,
563,
1,
796,
705,
44142,
290,
3623,
6,
5357,
366,
13847,
8230,
1,
796,
705,
45,
6750,
4447,
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,
318,
262,
4511,
4279,
286,
257,
1664,
287,
262,
3056,
290,
3623,
2831,
48583,
287,
12671,
30,
46506,
25882,
7203,
27520,
4943,
16034,
3084,
62,
2481,
10232,
33411,
366,
35848,
563,
1,
796,
705,
44142,
290,
3623,
6,
5357,
366,
13847,
8230,
1,
796,
705,
45,
6750,
4447,
6
] |
How many co-singers were there when Parveen Babi co-starred? | SELECT COUNT(Co) - singers FROM table_2528382_5 WHERE co_stars = "Parveen Babi" | [
2437,
867,
763,
12,
12215,
364,
547,
612,
618,
2547,
303,
268,
12400,
72,
763,
12,
7364,
445,
30,
46506,
327,
28270,
7,
7222,
8,
532,
39113,
16034,
3084,
62,
1495,
2078,
36243,
62,
20,
33411,
763,
62,
30783,
796,
366,
10044,
303,
268,
12400,
72,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
763,
12,
12215,
364,
547,
612,
618,
2547,
303,
268,
12400,
72,
763,
12,
7364,
445,
30,
46506,
327,
28270,
7,
7222,
8,
532,
39113,
16034,
3084,
62,
1495,
2078,
36243,
62,
20,
33411,
763,
62,
30783,
796,
366,
10044,
303,
268,
12400,
72,
1
] |
how many assets does each maintenance contract contain? List the number and the contract id. | SELECT COUNT(*), T1.maintenance_contract_id FROM Maintenance_Contracts AS T1 JOIN Assets AS T2 ON T1.maintenance_contract_id = T2.maintenance_contract_id GROUP BY T1.maintenance_contract_id | [
4919,
867,
6798,
857,
1123,
9262,
2775,
3994,
30,
7343,
262,
1271,
290,
262,
2775,
4686,
13,
46506,
327,
28270,
46491,
828,
309,
16,
13,
12417,
8219,
62,
28484,
62,
312,
16034,
34857,
62,
45845,
82,
7054,
309,
16,
32357,
1268,
41059,
7054,
309,
17,
6177,
309,
16,
13,
12417,
8219,
62,
28484,
62,
312,
796,
309,
17,
13,
12417,
8219,
62,
28484,
62,
312,
44441,
11050,
309,
16,
13,
12417,
8219,
62,
28484,
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
] | [
4919,
867,
6798,
857,
1123,
9262,
2775,
3994,
30,
7343,
262,
1271,
290,
262,
2775,
4686,
13,
46506,
327,
28270,
46491,
828,
309,
16,
13,
12417,
8219,
62,
28484,
62,
312,
16034,
34857,
62,
45845,
82,
7054,
309,
16,
32357,
1268,
41059,
7054,
309,
17,
6177,
309,
16,
13,
12417,
8219,
62,
28484,
62,
312,
796,
309,
17,
13,
12417,
8219,
62,
28484,
62,
312,
44441,
11050,
309,
16,
13,
12417,
8219,
62,
28484,
62,
312
] |
Give the songs included in volumes that have more than 1 week on top. | SELECT song FROM volume WHERE weeks_on_top > 1 | [
23318,
262,
7259,
3017,
287,
15343,
326,
423,
517,
621,
352,
1285,
319,
1353,
13,
46506,
3496,
16034,
6115,
33411,
2745,
62,
261,
62,
4852,
1875,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
262,
7259,
3017,
287,
15343,
326,
423,
517,
621,
352,
1285,
319,
1353,
13,
46506,
3496,
16034,
6115,
33411,
2745,
62,
261,
62,
4852,
1875,
352
] |
Display Nature , Culture and Landscape courses of 11 credits . | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Nature , Culture and Landscape%' OR name LIKE '%Nature , Culture and Landscape%') AND credits = 11 | [
23114,
10362,
837,
17346,
290,
6379,
6794,
10902,
286,
1367,
10824,
764,
46506,
360,
8808,
1268,
4177,
5011,
11,
1438,
11,
1271,
16034,
1781,
33411,
357,
11213,
34178,
705,
4,
46934,
837,
17346,
290,
6379,
6794,
4,
6,
6375,
1438,
34178,
705,
4,
46934,
837,
17346,
290,
6379,
6794,
4,
11537,
5357,
10824,
796,
1367
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23114,
10362,
837,
17346,
290,
6379,
6794,
10902,
286,
1367,
10824,
764,
46506,
360,
8808,
1268,
4177,
5011,
11,
1438,
11,
1271,
16034,
1781,
33411,
357,
11213,
34178,
705,
4,
46934,
837,
17346,
290,
6379,
6794,
4,
6,
6375,
1438,
34178,
705,
4,
46934,
837,
17346,
290,
6379,
6794,
4,
11537,
5357,
10824,
796,
1367
] |
What is 8:30, when 9:00 is 'The Office (Reruns)', and when 10:00 is 'Law & Order (Reruns)'? | SELECT "8:30" FROM table_40415 WHERE "9:00" = 'the office (reruns)' AND "10:00" = 'law & order (reruns)' | [
2061,
318,
807,
25,
1270,
11,
618,
860,
25,
405,
318,
705,
464,
4452,
357,
49,
263,
13271,
8,
3256,
290,
618,
838,
25,
405,
318,
705,
16966,
1222,
8284,
357,
49,
263,
13271,
8,
30960,
46506,
366,
23,
25,
1270,
1,
16034,
3084,
62,
26429,
1314,
33411,
366,
24,
25,
405,
1,
796,
705,
1169,
2607,
357,
260,
48381,
33047,
5357,
366,
940,
25,
405,
1,
796,
705,
6270,
1222,
1502,
357,
260,
48381,
33047
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
807,
25,
1270,
11,
618,
860,
25,
405,
318,
705,
464,
4452,
357,
49,
263,
13271,
8,
3256,
290,
618,
838,
25,
405,
318,
705,
16966,
1222,
8284,
357,
49,
263,
13271,
8,
30960,
46506,
366,
23,
25,
1270,
1,
16034,
3084,
62,
26429,
1314,
33411,
366,
24,
25,
405,
1,
796,
705,
1169,
2607,
357,
260,
48381,
33047,
5357,
366,
940,
25,
405,
1,
796,
705,
6270,
1222,
1502,
357,
260,
48381,
33047
] |
what is the maximum age of patients who are widowed and survived? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.expire_flag = "0" | [
10919,
318,
262,
5415,
2479,
286,
3871,
508,
389,
9214,
6972,
290,
11803,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
3876,
1287,
62,
13376,
796,
366,
54,
2389,
3913,
1961,
1,
5357,
16728,
13,
1069,
5111,
62,
32109,
796,
366,
15,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
5415,
2479,
286,
3871,
508,
389,
9214,
6972,
290,
11803,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
3876,
1287,
62,
13376,
796,
366,
54,
2389,
3913,
1961,
1,
5357,
16728,
13,
1069,
5111,
62,
32109,
796,
366,
15,
1
] |
Which parties have delegates in both the 'Appropriations' committee and the 'Economic Matters' committee? | SELECT T2.party FROM election AS T1 JOIN party AS T2 ON T1.party = T2.party_id WHERE T1.committee = "Appropriations" INTERSECT SELECT T2.party FROM election AS T1 JOIN party AS T2 ON T1.party = T2.party_id WHERE T1.committee = "Economic Matters" | [
13828,
4671,
423,
15265,
287,
1111,
262,
705,
4677,
9219,
602,
6,
5583,
290,
262,
705,
48307,
30587,
6,
5583,
30,
46506,
309,
17,
13,
10608,
16034,
3071,
7054,
309,
16,
32357,
1268,
2151,
7054,
309,
17,
6177,
309,
16,
13,
10608,
796,
309,
17,
13,
10608,
62,
312,
33411,
309,
16,
13,
26799,
796,
366,
4677,
9219,
602,
1,
17828,
4877,
9782,
33493,
309,
17,
13,
10608,
16034,
3071,
7054,
309,
16,
32357,
1268,
2151,
7054,
309,
17,
6177,
309,
16,
13,
10608,
796,
309,
17,
13,
10608,
62,
312,
33411,
309,
16,
13,
26799,
796,
366,
48307,
30587
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4671,
423,
15265,
287,
1111,
262,
705,
4677,
9219,
602,
6,
5583,
290,
262,
705,
48307,
30587,
6,
5583,
30,
46506,
309,
17,
13,
10608,
16034,
3071,
7054,
309,
16,
32357,
1268,
2151,
7054,
309,
17,
6177,
309,
16,
13,
10608,
796,
309,
17,
13,
10608,
62,
312,
33411,
309,
16,
13,
26799,
796,
366,
4677,
9219,
602,
1,
17828,
4877,
9782,
33493,
309,
17,
13,
10608,
16034,
3071,
7054,
309,
16,
32357,
1268,
2151,
7054,
309,
17,
6177,
309,
16,
13,
10608,
796,
309,
17,
13,
10608,
62,
312,
33411,
309,
16,
13,
26799,
796,
366,
48307,
30587
] |
What is the maximum aperture of the lens(es) with a focal length of 20mm? | SELECT max_aperture FROM table_name_77 WHERE focal_length = "20mm" | [
2061,
318,
262,
5415,
32729,
286,
262,
10317,
7,
274,
8,
351,
257,
25397,
4129,
286,
1160,
3020,
30,
46506,
3509,
62,
499,
861,
495,
16034,
3084,
62,
3672,
62,
3324,
33411,
25397,
62,
13664,
796,
366,
1238,
3020,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
5415,
32729,
286,
262,
10317,
7,
274,
8,
351,
257,
25397,
4129,
286,
1160,
3020,
30,
46506,
3509,
62,
499,
861,
495,
16034,
3084,
62,
3672,
62,
3324,
33411,
25397,
62,
13664,
796,
366,
1238,
3020,
1
] |
Which player weighs 187 pounds? | SELECT "Player" FROM table_40470 WHERE "Weight" = '187' | [
13828,
2137,
24034,
27649,
8059,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
26429,
2154,
33411,
366,
25844,
1,
796,
705,
23451,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
2137,
24034,
27649,
8059,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
26429,
2154,
33411,
366,
25844,
1,
796,
705,
23451,
6
] |
List all payment methods and number of payments using each payment methods Plot them as bar chart, and could you display in descending by the bar? | SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code ORDER BY payment_method_code DESC | [
8053,
477,
6074,
5050,
290,
1271,
286,
7524,
1262,
1123,
6074,
5050,
28114,
606,
355,
2318,
8262,
11,
290,
714,
345,
3359,
287,
31491,
416,
262,
2318,
30,
46506,
6074,
62,
24396,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
22092,
62,
19197,
902,
44441,
11050,
6074,
62,
24396,
62,
8189,
38678,
11050,
6074,
62,
24396,
62,
8189,
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
] | [
8053,
477,
6074,
5050,
290,
1271,
286,
7524,
1262,
1123,
6074,
5050,
28114,
606,
355,
2318,
8262,
11,
290,
714,
345,
3359,
287,
31491,
416,
262,
2318,
30,
46506,
6074,
62,
24396,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
22092,
62,
19197,
902,
44441,
11050,
6074,
62,
24396,
62,
8189,
38678,
11050,
6074,
62,
24396,
62,
8189,
22196,
34
] |
What is the total sum of 50m splits for josefin lillhage in lanes above 8? | SELECT SUM(split__50m_) FROM table_name_24 WHERE name = "josefin lillhage" AND lane > 8 | [
2061,
318,
262,
2472,
2160,
286,
2026,
76,
30778,
329,
474,
577,
15643,
300,
359,
71,
496,
287,
15296,
2029,
807,
30,
46506,
35683,
7,
35312,
834,
1120,
76,
62,
8,
16034,
3084,
62,
3672,
62,
1731,
33411,
1438,
796,
366,
73,
577,
15643,
300,
359,
71,
496,
1,
5357,
11193,
1875,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2472,
2160,
286,
2026,
76,
30778,
329,
474,
577,
15643,
300,
359,
71,
496,
287,
15296,
2029,
807,
30,
46506,
35683,
7,
35312,
834,
1120,
76,
62,
8,
16034,
3084,
62,
3672,
62,
1731,
33411,
1438,
796,
366,
73,
577,
15643,
300,
359,
71,
496,
1,
5357,
11193,
1875,
807
] |
What competition was the World Championships before 2011? | SELECT "Event" FROM table_31874 WHERE "Competition" = 'world championships' AND "Year" < '2011' | [
2061,
5449,
373,
262,
2159,
24782,
878,
2813,
30,
46506,
366,
9237,
1,
16034,
3084,
62,
36042,
4524,
33411,
366,
7293,
15620,
1,
796,
705,
6894,
27459,
6,
5357,
366,
17688,
1,
1279,
705,
9804,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
5449,
373,
262,
2159,
24782,
878,
2813,
30,
46506,
366,
9237,
1,
16034,
3084,
62,
36042,
4524,
33411,
366,
7293,
15620,
1,
796,
705,
6894,
27459,
6,
5357,
366,
17688,
1,
1279,
705,
9804,
6
] |
how many patients are married and followed the procedure icd9 code 3607? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "MARRIED" AND procedures.icd9_code = "3607" | [
4919,
867,
3871,
389,
6405,
290,
3940,
262,
8771,
14158,
67,
24,
2438,
11470,
22,
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,
3876,
1287,
62,
13376,
796,
366,
40569,
7112,
1961,
1,
5357,
9021,
13,
291,
67,
24,
62,
8189,
796,
366,
15277,
22,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
3871,
389,
6405,
290,
3940,
262,
8771,
14158,
67,
24,
2438,
11470,
22,
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,
3876,
1287,
62,
13376,
796,
366,
40569,
7112,
1961,
1,
5357,
9021,
13,
291,
67,
24,
62,
8189,
796,
366,
15277,
22,
1
] |
What party has an incumbent of Stanyarne Wilson? | SELECT party FROM table_name_86 WHERE incumbent = "stanyarne wilson" | [
2061,
2151,
468,
281,
23526,
286,
520,
1092,
283,
710,
8127,
30,
46506,
2151,
16034,
3084,
62,
3672,
62,
4521,
33411,
23526,
796,
366,
301,
1092,
283,
710,
39716,
1559,
1
] | [
1,
1,
1,
1,
1,
1,
1,
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,
2151,
468,
281,
23526,
286,
520,
1092,
283,
710,
8127,
30,
46506,
2151,
16034,
3084,
62,
3672,
62,
4521,
33411,
23526,
796,
366,
301,
1092,
283,
710,
39716,
1559,
1
] |
How many colleges provided players with positions LB? | SELECT COUNT("College") FROM table_27350 WHERE "Position" = 'LB' | [
2437,
867,
15273,
2810,
1938,
351,
6116,
22199,
30,
46506,
327,
28270,
7203,
38951,
4943,
16034,
3084,
62,
1983,
14877,
33411,
366,
26545,
1,
796,
705,
30501,
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
] | [
2437,
867,
15273,
2810,
1938,
351,
6116,
22199,
30,
46506,
327,
28270,
7203,
38951,
4943,
16034,
3084,
62,
1983,
14877,
33411,
366,
26545,
1,
796,
705,
30501,
6
] |
What is the instructors name that teaches CMPLXSYS 270 ? | SELECT DISTINCT instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'CMPLXSYS' AND course.number = 270 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | [
2061,
318,
262,
33667,
1438,
326,
17324,
16477,
6489,
55,
50,
16309,
20479,
5633,
46506,
360,
8808,
1268,
4177,
21187,
13,
3672,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
24187,
6489,
55,
50,
16309,
6,
5357,
1781,
13,
17618,
796,
20479,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273,
62,
312,
5357,
6011,
62,
259,
7249,
273,
13,
2364,
1586
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
33667,
1438,
326,
17324,
16477,
6489,
55,
50,
16309,
20479,
5633,
46506,
360,
8808,
1268,
4177,
21187,
13,
3672,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
24187,
6489,
55,
50,
16309,
6,
5357,
1781,
13,
17618,
796,
20479,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273,
62,
312,
5357,
6011,
62,
259,
7249,
273,
13,
2364,
1586
] |
what were the three diagnoses that have the lowest one year survival 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) > 1 * 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) > 1 * 365) AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid GROUP BY t2.diagnosisname) AS t3) AS t4 WHERE t4.c2 <= 3 | [
10919,
547,
262,
1115,
40567,
326,
423,
262,
9016,
530,
614,
9441,
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,
547,
262,
1115,
40567,
326,
423,
262,
9016,
530,
614,
9441,
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
] |
Which Match played in a Location of San Francisco has a Competition of Semifinal? | SELECT match FROM table_name_19 WHERE competition = "semifinal" AND location = "san francisco" | [
13828,
13225,
2826,
287,
257,
13397,
286,
2986,
6033,
468,
257,
27348,
286,
12449,
361,
1292,
30,
46506,
2872,
16034,
3084,
62,
3672,
62,
1129,
33411,
5449,
796,
366,
43616,
361,
1292,
1,
5357,
4067,
796,
366,
12807,
46754,
4861,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13225,
2826,
287,
257,
13397,
286,
2986,
6033,
468,
257,
27348,
286,
12449,
361,
1292,
30,
46506,
2872,
16034,
3084,
62,
3672,
62,
1129,
33411,
5449,
796,
366,
43616,
361,
1292,
1,
5357,
4067,
796,
366,
12807,
46754,
4861,
1
] |
A bar chart showing the number of first name for all female students. Their sex is F. | SELECT Fname, COUNT(Fname) FROM Student WHERE Sex = 'F' GROUP BY Fname | [
32,
2318,
8262,
4478,
262,
1271,
286,
717,
1438,
329,
477,
4048,
2444,
13,
5334,
1714,
318,
376,
13,
46506,
376,
3672,
11,
327,
28270,
7,
37,
3672,
8,
16034,
13613,
33411,
14419,
796,
705,
37,
6,
44441,
11050,
376,
3672
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
32,
2318,
8262,
4478,
262,
1271,
286,
717,
1438,
329,
477,
4048,
2444,
13,
5334,
1714,
318,
376,
13,
46506,
376,
3672,
11,
327,
28270,
7,
37,
3672,
8,
16034,
13613,
33411,
14419,
796,
705,
37,
6,
44441,
11050,
376,
3672
] |
What number episode in the series was titled 'Never the Bride'? | SELECT "No. in series" FROM table_22356 WHERE "Title" = 'Never the Bride' | [
2061,
1271,
4471,
287,
262,
2168,
373,
11946,
705,
12295,
262,
29840,
30960,
46506,
366,
2949,
13,
287,
2168,
1,
16034,
3084,
62,
1828,
32066,
33411,
366,
19160,
1,
796,
705,
12295,
262,
29840,
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,
1271,
4471,
287,
262,
2168,
373,
11946,
705,
12295,
262,
29840,
30960,
46506,
366,
2949,
13,
287,
2168,
1,
16034,
3084,
62,
1828,
32066,
33411,
366,
19160,
1,
796,
705,
12295,
262,
29840,
6
] |
What is the country of player ed sneed with a to par of +3? | SELECT "Country" FROM table_77463 WHERE "To par" = '+3' AND "Player" = 'ed sneed' | [
2061,
318,
262,
1499,
286,
2137,
1225,
10505,
276,
351,
257,
284,
1582,
286,
1343,
18,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
3324,
38380,
33411,
366,
2514,
1582,
1,
796,
705,
10,
18,
6,
5357,
366,
14140,
1,
796,
705,
276,
10505,
276,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1499,
286,
2137,
1225,
10505,
276,
351,
257,
284,
1582,
286,
1343,
18,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
3324,
38380,
33411,
366,
2514,
1582,
1,
796,
705,
10,
18,
6,
5357,
366,
14140,
1,
796,
705,
276,
10505,
276,
6
] |
what is the number of patients whose admission location is transfer from hosp/extram with the procedure spinal tap? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.long_title = "Spinal tap" | [
10919,
318,
262,
1271,
286,
3871,
3025,
13938,
4067,
318,
4351,
422,
10496,
14,
2302,
859,
351,
262,
8771,
26234,
9814,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
5446,
15037,
24302,
16034,
367,
47053,
14,
6369,
5446,
2390,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
4561,
1292,
9814,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
1271,
286,
3871,
3025,
13938,
4067,
318,
4351,
422,
10496,
14,
2302,
859,
351,
262,
8771,
26234,
9814,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
5446,
15037,
24302,
16034,
367,
47053,
14,
6369,
5446,
2390,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
4561,
1292,
9814,
1
] |
in 2008 in track and field events how long did it take for dayron robles to run the 110 m hurdles when he broke the world record . | SELECT "performance" FROM table_203_102 WHERE "athlete" = 'dayron robles' AND "event" = '110 m hurdles' | [
259,
3648,
287,
2610,
290,
2214,
2995,
703,
890,
750,
340,
1011,
329,
1110,
1313,
3857,
829,
284,
1057,
262,
9796,
285,
34283,
618,
339,
6265,
262,
995,
1700,
764,
46506,
366,
26585,
1,
16034,
3084,
62,
22416,
62,
15377,
33411,
366,
776,
5807,
1,
796,
705,
820,
1313,
3857,
829,
6,
5357,
366,
15596,
1,
796,
705,
11442,
285,
34283,
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
] | [
259,
3648,
287,
2610,
290,
2214,
2995,
703,
890,
750,
340,
1011,
329,
1110,
1313,
3857,
829,
284,
1057,
262,
9796,
285,
34283,
618,
339,
6265,
262,
995,
1700,
764,
46506,
366,
26585,
1,
16034,
3084,
62,
22416,
62,
15377,
33411,
366,
776,
5807,
1,
796,
705,
820,
1313,
3857,
829,
6,
5357,
366,
15596,
1,
796,
705,
11442,
285,
34283,
6
] |
What is rank of player Charles Eady and a Bowling of 12/63? | SELECT rank FROM table_name_2 WHERE player = "charles eady" AND bowling = "12/63" | [
2061,
318,
4279,
286,
2137,
7516,
412,
4597,
290,
257,
44748,
286,
1105,
14,
5066,
30,
46506,
4279,
16034,
3084,
62,
3672,
62,
17,
33411,
2137,
796,
366,
10641,
829,
304,
4597,
1,
5357,
33564,
796,
366,
1065,
14,
5066,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
4279,
286,
2137,
7516,
412,
4597,
290,
257,
44748,
286,
1105,
14,
5066,
30,
46506,
4279,
16034,
3084,
62,
3672,
62,
17,
33411,
2137,
796,
366,
10641,
829,
304,
4597,
1,
5357,
33564,
796,
366,
1065,
14,
5066,
1
] |
Who is the opponent for the game that occurred after week 13? | SELECT "Opponent" FROM table_38171 WHERE "Week" > '13' | [
8241,
318,
262,
6125,
329,
262,
983,
326,
5091,
706,
1285,
1511,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2548,
27192,
33411,
366,
20916,
1,
1875,
705,
1485,
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
] | [
8241,
318,
262,
6125,
329,
262,
983,
326,
5091,
706,
1285,
1511,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2548,
27192,
33411,
366,
20916,
1,
1875,
705,
1485,
6
] |
What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times? | SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING COUNT(*) > 100 | [
2061,
389,
262,
3891,
286,
8985,
326,
389,
5140,
287,
44878,
34317,
1748,
475,
423,
1239,
587,
262,
7464,
966,
286,
13229,
517,
621,
1802,
1661,
30,
46506,
1438,
16034,
4429,
33411,
1748,
796,
366,
47,
7335,
34317,
1,
7788,
42006,
33493,
886,
62,
17529,
62,
3672,
16034,
5296,
44441,
11050,
886,
62,
17529,
62,
3672,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
1802
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
3891,
286,
8985,
326,
389,
5140,
287,
44878,
34317,
1748,
475,
423,
1239,
587,
262,
7464,
966,
286,
13229,
517,
621,
1802,
1661,
30,
46506,
1438,
16034,
4429,
33411,
1748,
796,
366,
47,
7335,
34317,
1,
7788,
42006,
33493,
886,
62,
17529,
62,
3672,
16034,
5296,
44441,
11050,
886,
62,
17529,
62,
3672,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
1802
] |
what is diagnoses short title and diagnoses long title of diagnoses icd9 code 4239? | SELECT diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "4239" | [
10919,
318,
40567,
1790,
3670,
290,
40567,
890,
3670,
286,
40567,
14158,
67,
24,
2438,
604,
23516,
30,
46506,
40567,
13,
19509,
62,
7839,
11,
40567,
13,
6511,
62,
7839,
16034,
40567,
33411,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
19,
23516,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
40567,
1790,
3670,
290,
40567,
890,
3670,
286,
40567,
14158,
67,
24,
2438,
604,
23516,
30,
46506,
40567,
13,
19509,
62,
7839,
11,
40567,
13,
6511,
62,
7839,
16034,
40567,
33411,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
19,
23516,
1
] |
Name the country where % change on year is 21 and value is less than 86 | SELECT country FROM table_name_12 WHERE debt_as__percentage_of_value < 86 AND _percentage_change_on_year = "21" | [
5376,
262,
1499,
810,
4064,
1487,
319,
614,
318,
2310,
290,
1988,
318,
1342,
621,
9849,
46506,
1499,
16034,
3084,
62,
3672,
62,
1065,
33411,
5057,
62,
292,
834,
25067,
496,
62,
1659,
62,
8367,
1279,
9849,
5357,
4808,
25067,
496,
62,
3803,
62,
261,
62,
1941,
796,
366,
2481,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1499,
810,
4064,
1487,
319,
614,
318,
2310,
290,
1988,
318,
1342,
621,
9849,
46506,
1499,
16034,
3084,
62,
3672,
62,
1065,
33411,
5057,
62,
292,
834,
25067,
496,
62,
1659,
62,
8367,
1279,
9849,
5357,
4808,
25067,
496,
62,
3803,
62,
261,
62,
1941,
796,
366,
2481,
1
] |
What title was used in the nomination of Una Giornata Particolare? | SELECT "Film title used in nomination" FROM table_65601 WHERE "Original title" = 'una giornata particolare' | [
2061,
3670,
373,
973,
287,
262,
11872,
286,
791,
64,
8118,
1211,
1045,
2142,
27045,
533,
30,
46506,
366,
39750,
3670,
973,
287,
11872,
1,
16034,
3084,
62,
37466,
486,
33411,
366,
20556,
3670,
1,
796,
705,
9613,
308,
72,
1211,
1045,
1344,
349,
533,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
3670,
373,
973,
287,
262,
11872,
286,
791,
64,
8118,
1211,
1045,
2142,
27045,
533,
30,
46506,
366,
39750,
3670,
973,
287,
11872,
1,
16034,
3084,
62,
37466,
486,
33411,
366,
20556,
3670,
1,
796,
705,
9613,
308,
72,
1211,
1045,
1344,
349,
533,
6
] |
What home team plays at Princes Park? | SELECT home_team FROM table_name_62 WHERE venue = "princes park" | [
2061,
1363,
1074,
5341,
379,
7489,
728,
3250,
30,
46506,
1363,
62,
15097,
16034,
3084,
62,
3672,
62,
5237,
33411,
14359,
796,
366,
1050,
17386,
3952,
1
] | [
1,
1,
1,
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,
1363,
1074,
5341,
379,
7489,
728,
3250,
30,
46506,
1363,
62,
15097,
16034,
3084,
62,
3672,
62,
5237,
33411,
14359,
796,
366,
1050,
17386,
3952,
1
] |
Return the top 3 greatest support rates. | SELECT support_rate FROM candidate ORDER BY support_rate DESC LIMIT 3 | [
13615,
262,
1353,
513,
6000,
1104,
3965,
13,
46506,
1104,
62,
4873,
16034,
4540,
38678,
11050,
1104,
62,
4873,
22196,
34,
27564,
2043,
513
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13615,
262,
1353,
513,
6000,
1104,
3965,
13,
46506,
1104,
62,
4873,
16034,
4540,
38678,
11050,
1104,
62,
4873,
22196,
34,
27564,
2043,
513
] |
what is the differece in years from date to designated to for gray nuns ' hospital ? | SELECT ABS("date(s)" - "designated") FROM table_204_776 WHERE "site" = "grey nuns' hospital" | [
10919,
318,
262,
980,
344,
287,
812,
422,
3128,
284,
11032,
284,
329,
12768,
45805,
705,
4436,
5633,
46506,
29950,
7203,
4475,
7,
82,
16725,
532,
366,
26124,
515,
4943,
16034,
3084,
62,
18638,
62,
39509,
33411,
366,
15654,
1,
796,
366,
49502,
45805,
6,
4436,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
980,
344,
287,
812,
422,
3128,
284,
11032,
284,
329,
12768,
45805,
705,
4436,
5633,
46506,
29950,
7203,
4475,
7,
82,
16725,
532,
366,
26124,
515,
4943,
16034,
3084,
62,
18638,
62,
39509,
33411,
366,
15654,
1,
796,
366,
49502,
45805,
6,
4436,
1
] |
what is the number of patients whose diagnoses short title is sed,hyp,anxiolyt dep-con and drug type is additive? | 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 = "Sed,hyp,anxiolyt dep-con" AND prescriptions.drug_type = "ADDITIVE" | [
10919,
318,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
10081,
11,
36362,
11,
272,
87,
952,
306,
83,
1207,
12,
1102,
290,
2563,
2099,
318,
38298,
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,
50,
276,
11,
36362,
11,
272,
87,
952,
306
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
10081,
11,
36362,
11,
272,
87,
952,
306,
83,
1207,
12,
1102,
290,
2563,
2099,
318,
38298,
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,
50,
276,
11,
36362,
11,
272,
87,
952,
306
] |
Give the proportion of what are the last names and ages of the students who are allergic to milk and cat? | SELECT LName, Age FROM Student WHERE StuID IN (SELECT StuID FROM Has_Allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_Allergy WHERE Allergy = "Cat") | [
23318,
262,
9823,
286,
644,
389,
262,
938,
3891,
290,
9337,
286,
262,
2444,
508,
389,
31856,
284,
7545,
290,
3797,
30,
46506,
406,
5376,
11,
7129,
16034,
13613,
33411,
520,
84,
2389,
3268,
357,
46506,
520,
84,
2389,
16034,
7875,
62,
3237,
26079,
33411,
1439,
26079,
796,
366,
24857,
74,
1,
17828,
4877,
9782,
33493,
520,
84,
2389,
16034,
7875,
62,
3237,
26079,
33411,
1439,
26079,
796,
366,
21979,
4943
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
262,
9823,
286,
644,
389,
262,
938,
3891,
290,
9337,
286,
262,
2444,
508,
389,
31856,
284,
7545,
290,
3797,
30,
46506,
406,
5376,
11,
7129,
16034,
13613,
33411,
520,
84,
2389,
3268,
357,
46506,
520,
84,
2389,
16034,
7875,
62,
3237,
26079,
33411,
1439,
26079,
796,
366,
24857,
74,
1,
17828,
4877,
9782,
33493,
520,
84,
2389,
16034,
7875,
62,
3237,
26079,
33411,
1439,
26079,
796,
366,
21979,
4943
] |
Name the season for runner up of judean rebels | SELECT season FROM table_name_56 WHERE runner_up = "judean rebels" | [
5376,
262,
1622,
329,
17490,
510,
286,
474,
2507,
272,
12669,
46506,
1622,
16034,
3084,
62,
3672,
62,
3980,
33411,
17490,
62,
929,
796,
366,
73,
2507,
272,
12669,
1
] | [
1,
1,
1,
1,
1,
1,
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,
1622,
329,
17490,
510,
286,
474,
2507,
272,
12669,
46506,
1622,
16034,
3084,
62,
3672,
62,
3980,
33411,
17490,
62,
929,
796,
366,
73,
2507,
272,
12669,
1
] |
What is the grid of driver jo o urbano? | SELECT SUM("Grid") FROM table_37452 WHERE "Driver" = 'joão urbano' | [
2061,
318,
262,
10706,
286,
4639,
2525,
267,
7876,
78,
30,
46506,
35683,
7203,
41339,
4943,
16034,
3084,
62,
2718,
37730,
33411,
366,
32103,
1,
796,
705,
7639,
28749,
7876,
78,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
10706,
286,
4639,
2525,
267,
7876,
78,
30,
46506,
35683,
7203,
41339,
4943,
16034,
3084,
62,
2718,
37730,
33411,
366,
32103,
1,
796,
705,
7639,
28749,
7876,
78,
6
] |
What time next semester is 311 offered ? | SELECT DISTINCT course_offering.end_time, course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.start_time, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 311 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | [
2061,
640,
1306,
24878,
318,
35592,
4438,
5633,
46506,
360,
8808,
1268,
4177,
1781,
62,
2364,
1586,
13,
437,
62,
2435,
11,
1781,
62,
2364,
1586,
13,
8310,
2567,
11,
1781,
62,
2364,
1586,
13,
76,
3204,
11,
1781,
62,
2364,
1586,
13,
82,
3658,
11,
1781,
62,
2364,
1586,
13,
9688,
62,
2435,
11,
1781,
62,
2364,
1586,
13,
82,
917,
323,
11,
1781,
62,
2364,
1586,
13,
400,
3479,
11,
1781,
62,
2364,
1586,
13,
83,
3322,
11,
1781,
62,
2364,
1586,
13,
19103,
3462,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
24878,
33411,
1781,
13,
17319
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
640,
1306,
24878,
318,
35592,
4438,
5633,
46506,
360,
8808,
1268,
4177,
1781,
62,
2364,
1586,
13,
437,
62,
2435,
11,
1781,
62,
2364,
1586,
13,
8310,
2567,
11,
1781,
62,
2364,
1586,
13,
76,
3204,
11,
1781,
62,
2364,
1586,
13,
82,
3658,
11,
1781,
62,
2364,
1586,
13,
9688,
62,
2435,
11,
1781,
62,
2364,
1586,
13,
82,
917,
323,
11,
1781,
62,
2364,
1586,
13,
400,
3479,
11,
1781,
62,
2364,
1586,
13,
83,
3322,
11,
1781,
62,
2364,
1586,
13,
19103,
3462,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
24878,
33411,
1781,
13,
17319
] |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the amount of hire_date over the hire_date bin hire_date by time, and rank in asc by the total number please. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY COUNT(HIRE_DATE) | [
1890,
883,
4409,
3025,
9588,
318,
287,
262,
2837,
286,
38055,
290,
1105,
830,
290,
5810,
318,
407,
9242,
393,
5011,
1271,
857,
407,
4961,
284,
2319,
11,
1577,
502,
262,
7208,
546,
262,
2033,
286,
11078,
62,
4475,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
11,
290,
4279,
287,
10570,
416,
262,
2472,
1271,
3387,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
327,
28270,
7,
25374,
2200,
62,
35,
6158,
8,
16034,
4409,
33411,
42475,
13153,
38651,
8845,
1677,
38055,
5357,
1105,
830,
5357,
22240,
40373,
62,
47,
4177,
1279,
29,
366,
8423,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
3025,
9588,
318,
287,
262,
2837,
286,
38055,
290,
1105,
830,
290,
5810,
318,
407,
9242,
393,
5011,
1271,
857,
407,
4961,
284,
2319,
11,
1577,
502,
262,
7208,
546,
262,
2033,
286,
11078,
62,
4475,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
11,
290,
4279,
287,
10570,
416,
262,
2472,
1271,
3387,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
327,
28270,
7,
25374,
2200,
62,
35,
6158,
8,
16034,
4409,
33411,
42475,
13153,
38651,
8845,
1677,
38055,
5357,
1105,
830,
5357,
22240,
40373,
62,
47,
4177,
1279,
29,
366,
8423,
1
] |
What is the speed of model x5560? | SELECT "Speed (GHz)" FROM table_3690 WHERE "Model" = 'X5560' | [
2061,
318,
262,
2866,
286,
2746,
2124,
2816,
1899,
30,
46506,
366,
22785,
357,
23741,
16725,
16034,
3084,
62,
2623,
3829,
33411,
366,
17633,
1,
796,
705,
55,
2816,
1899,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2866,
286,
2746,
2124,
2816,
1899,
30,
46506,
366,
22785,
357,
23741,
16725,
16034,
3084,
62,
2623,
3829,
33411,
366,
17633,
1,
796,
705,
55,
2816,
1899,
6
] |
what was the name of the output, which patient 009-5351 had first since 05/02/2100? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '009-5351')) AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) >= '2100-05-02' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | [
10919,
373,
262,
1438,
286,
262,
5072,
11,
543,
5827,
3571,
24,
12,
20,
35273,
550,
717,
1201,
8870,
14,
2999,
14,
2481,
405,
30,
46506,
10337,
22915,
13,
3846,
18242,
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,
28694,
12,
20,
35273,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
22915,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5072,
11,
543,
5827,
3571,
24,
12,
20,
35273,
550,
717,
1201,
8870,
14,
2999,
14,
2481,
405,
30,
46506,
10337,
22915,
13,
3846,
18242,
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,
28694,
12,
20,
35273,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
22915,
4,
6
] |
what are all the open 1st viii with u15 4th iv being gt | SELECT open_1st_viii FROM table_11318462_5 WHERE u15_4th_iv = "GT" | [
10919,
389,
477,
262,
1280,
352,
301,
410,
15479,
351,
334,
1314,
604,
400,
21628,
852,
308,
83,
46506,
1280,
62,
16,
301,
62,
85,
15479,
16034,
3084,
62,
16616,
1507,
39997,
62,
20,
33411,
334,
1314,
62,
19,
400,
62,
452,
796,
366,
19555,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
389,
477,
262,
1280,
352,
301,
410,
15479,
351,
334,
1314,
604,
400,
21628,
852,
308,
83,
46506,
1280,
62,
16,
301,
62,
85,
15479,
16034,
3084,
62,
16616,
1507,
39997,
62,
20,
33411,
334,
1314,
62,
19,
400,
62,
452,
796,
366,
19555,
1
] |
when did patient 015-56556 get admitted into the hospital via recovery room for the first time during a year before? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '015-56556' AND patient.hospitaladmitsource = 'recovery room' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY patient.hospitaladmittime LIMIT 1 | [
12518,
750,
5827,
5534,
20,
12,
3980,
37864,
651,
6848,
656,
262,
4436,
2884,
7628,
2119,
329,
262,
717,
640,
1141,
257,
614,
878,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
25150,
12,
3980,
37864,
6,
5357,
5827,
13,
49257,
324,
24883,
1668,
796,
705,
260,
1073,
548,
2119,
6,
5357,
360,
1404,
2767,
12789,
7,
26029,
13,
49257,
324,
20124,
524,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
12518,
750,
5827,
5534,
20,
12,
3980,
37864,
651,
6848,
656,
262,
4436,
2884,
7628,
2119,
329,
262,
717,
640,
1141,
257,
614,
878,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
25150,
12,
3980,
37864,
6,
5357,
5827,
13,
49257,
324,
24883,
1668,
796,
705,
260,
1073,
548,
2119,
6,
5357,
360,
1404,
2767,
12789,
7,
26029,
13,
49257,
324,
20124,
524,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614
] |
What competition resulted in 2-0 score, hosted in Amman? | SELECT competition FROM table_name_23 WHERE score = "2-0" AND venue = "amman" | [
2061,
5449,
8724,
287,
362,
12,
15,
4776,
11,
12007,
287,
1703,
805,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
1954,
33411,
4776,
796,
366,
17,
12,
15,
1,
5357,
14359,
796,
366,
321,
805,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5449,
8724,
287,
362,
12,
15,
4776,
11,
12007,
287,
1703,
805,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
1954,
33411,
4776,
796,
366,
17,
12,
15,
1,
5357,
14359,
796,
366,
321,
805,
1
] |
subjects with dementia must have moderate / severe dementia as preferentially defined by a documented moca score of less than 17 , or by mmse score of less than 17, within the last 12 months | SELECT * FROM table_train_144 WHERE dementia = 1 AND (moderate_dementia = 1 OR severe_dementia = 1) OR (moca_score < 17 OR mini_mental_state_examination_mmse < 17) | [
32796,
82,
351,
27886,
1276,
423,
10768,
1220,
6049,
27886,
355,
7694,
9100,
1927,
5447,
416,
257,
12395,
285,
11216,
4776,
286,
1342,
621,
1596,
837,
393,
416,
8085,
325,
4776,
286,
1342,
621,
1596,
11,
1626,
262,
938,
1105,
1933,
46506,
1635,
16034,
3084,
62,
27432,
62,
18444,
33411,
27886,
796,
352,
5357,
357,
47189,
62,
67,
972,
544,
796,
352,
6375,
6049,
62,
67,
972,
544,
796,
352,
8,
6375,
357,
76,
11216,
62,
26675,
1279,
1596,
6375,
9927,
62,
37098,
62,
5219,
62,
47779,
62,
3020,
325,
1279,
1596,
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
] | [
32796,
82,
351,
27886,
1276,
423,
10768,
1220,
6049,
27886,
355,
7694,
9100,
1927,
5447,
416,
257,
12395,
285,
11216,
4776,
286,
1342,
621,
1596,
837,
393,
416,
8085,
325,
4776,
286,
1342,
621,
1596,
11,
1626,
262,
938,
1105,
1933,
46506,
1635,
16034,
3084,
62,
27432,
62,
18444,
33411,
27886,
796,
352,
5357,
357,
47189,
62,
67,
972,
544,
796,
352,
6375,
6049,
62,
67,
972,
544,
796,
352,
8,
6375,
357,
76,
11216,
62,
26675,
1279,
1596,
6375,
9927,
62,
37098,
62,
5219,
62,
47779,
62,
3020,
325,
1279,
1596,
8
] |
For those records from the products and each product's manufacturer, show me about the distribution of name and price , and group by attribute name in a bar chart. | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
905,
502,
546,
262,
6082,
286,
1438,
290,
2756,
837,
290,
1448,
416,
11688,
1438,
287,
257,
2318,
8262,
13,
46506,
309,
16,
13,
5376,
11,
309,
16,
13,
18124,
16034,
18675,
7054,
309,
16,
32357,
1268,
17858,
17496,
7054,
309,
17,
6177,
309,
16,
13,
44445,
15051,
796,
309,
17,
13,
10669,
44441,
11050,
309,
16,
13,
5376,
11,
309,
16,
13,
5376
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
905,
502,
546,
262,
6082,
286,
1438,
290,
2756,
837,
290,
1448,
416,
11688,
1438,
287,
257,
2318,
8262,
13,
46506,
309,
16,
13,
5376,
11,
309,
16,
13,
18124,
16034,
18675,
7054,
309,
16,
32357,
1268,
17858,
17496,
7054,
309,
17,
6177,
309,
16,
13,
44445,
15051,
796,
309,
17,
13,
10669,
44441,
11050,
309,
16,
13,
5376,
11,
309,
16,
13,
5376
] |
Who wrote the episode that David Tucker directed? | SELECT COUNT("Writer") FROM table_19805 WHERE "Director" = 'David Tucker' | [
8241,
2630,
262,
4471,
326,
3271,
25951,
7924,
30,
46506,
327,
28270,
7203,
34379,
4943,
16034,
3084,
62,
23664,
20,
33411,
366,
28702,
1,
796,
705,
11006,
25951,
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,
2630,
262,
4471,
326,
3271,
25951,
7924,
30,
46506,
327,
28270,
7203,
34379,
4943,
16034,
3084,
62,
23664,
20,
33411,
366,
28702,
1,
796,
705,
11006,
25951,
6
] |
Which customers have both 'On Road' and 'Shipped' as order status? List the customer ids. | SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped" | [
13828,
4297,
423,
1111,
705,
2202,
5567,
6,
290,
705,
2484,
3949,
6,
355,
1502,
3722,
30,
7343,
262,
6491,
220,
2340,
13,
46506,
309,
16,
13,
23144,
263,
62,
312,
16034,
4297,
7054,
309,
16,
32357,
1268,
6266,
7054,
309,
17,
6177,
309,
16,
13,
23144,
263,
62,
312,
796,
309,
17,
13,
23144,
263,
62,
312,
33411,
309,
17,
13,
2875,
62,
13376,
796,
366,
2202,
5567,
1,
17828,
4877,
9782,
33493,
309,
16,
13,
23144,
263,
62,
312,
16034,
4297,
7054,
309,
16,
32357,
1268,
6266,
7054,
309,
17,
6177,
309,
16,
13,
23144,
263,
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
] | [
13828,
4297,
423,
1111,
705,
2202,
5567,
6,
290,
705,
2484,
3949,
6,
355,
1502,
3722,
30,
7343,
262,
6491,
220,
2340,
13,
46506,
309,
16,
13,
23144,
263,
62,
312,
16034,
4297,
7054,
309,
16,
32357,
1268,
6266,
7054,
309,
17,
6177,
309,
16,
13,
23144,
263,
62,
312,
796,
309,
17,
13,
23144,
263,
62,
312,
33411,
309,
17,
13,
2875,
62,
13376,
796,
366,
2202,
5567,
1,
17828,
4877,
9782,
33493,
309,
16,
13,
23144,
263,
62,
312,
16034,
4297,
7054,
309,
16,
32357,
1268,
6266,
7054,
309,
17,
6177,
309,
16,
13,
23144,
263,
62,
312
] |
In how many episodes were Vanessa Feltz and Lee Mack the team for Sean? | SELECT COUNT(episode) FROM table_23292220_6 WHERE seans_team = "Vanessa Feltz and Lee Mack" | [
818,
703,
867,
8640,
547,
42100,
376,
2120,
89,
290,
5741,
16640,
262,
1074,
329,
11465,
30,
46506,
327,
28270,
7,
38668,
8,
16034,
3084,
62,
1954,
1959,
1828,
1238,
62,
21,
33411,
384,
504,
62,
15097,
796,
366,
25298,
21411,
376,
2120,
89,
290,
5741,
16640,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
703,
867,
8640,
547,
42100,
376,
2120,
89,
290,
5741,
16640,
262,
1074,
329,
11465,
30,
46506,
327,
28270,
7,
38668,
8,
16034,
3084,
62,
1954,
1959,
1828,
1238,
62,
21,
33411,
384,
504,
62,
15097,
796,
366,
25298,
21411,
376,
2120,
89,
290,
5741,
16640,
1
] |
Who is the winner for the Tournament in Hong Kong with a third place winner named Mikael Pernfors? | SELECT "Winner" FROM table_57046 WHERE "Third Place" = 'mikael pernfors' AND "Tournament" = 'hong kong' | [
8241,
318,
262,
8464,
329,
262,
9595,
287,
9764,
9071,
351,
257,
2368,
1295,
8464,
3706,
17722,
3010,
350,
1142,
69,
669,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
39254,
3510,
33411,
366,
22747,
8474,
1,
796,
705,
76,
1134,
3010,
583,
77,
69,
669,
6,
5357,
366,
51,
5138,
1,
796,
705,
71,
506,
479,
506,
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
] | [
8241,
318,
262,
8464,
329,
262,
9595,
287,
9764,
9071,
351,
257,
2368,
1295,
8464,
3706,
17722,
3010,
350,
1142,
69,
669,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
39254,
3510,
33411,
366,
22747,
8474,
1,
796,
705,
76,
1134,
3010,
583,
77,
69,
669,
6,
5357,
366,
51,
5138,
1,
796,
705,
71,
506,
479,
506,
6
] |
How many games were played by the V lez S rsfield team from 1989-90? | SELECT 1989 AS _90 FROM table_17968274_2 WHERE team = "Vélez Sársfield" | [
2437,
867,
1830,
547,
2826,
416,
262,
569,
443,
89,
311,
44608,
3245,
1074,
422,
11104,
12,
3829,
30,
46506,
11104,
7054,
4808,
3829,
16034,
3084,
62,
21738,
3104,
28857,
62,
17,
33411,
1074,
796,
366,
53,
2634,
36858,
311,
6557,
3808,
3245,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
1830,
547,
2826,
416,
262,
569,
443,
89,
311,
44608,
3245,
1074,
422,
11104,
12,
3829,
30,
46506,
11104,
7054,
4808,
3829,
16034,
3084,
62,
21738,
3104,
28857,
62,
17,
33411,
1074,
796,
366,
53,
2634,
36858,
311,
6557,
3808,
3245,
1
] |
What is the highest Market Value (billion $), when Rank is 02 2, and when Sales (billion $) is greater than 113.1? | SELECT MAX(market_value__billion_) AS $_ FROM table_name_99 WHERE rank = "02 2" AND sales__billion_$_ > 113.1 | [
2061,
318,
262,
4511,
5991,
11052,
357,
24540,
720,
828,
618,
10916,
318,
7816,
362,
11,
290,
618,
17329,
357,
24540,
720,
8,
318,
3744,
621,
17318,
13,
16,
30,
46506,
25882,
7,
10728,
62,
8367,
834,
24540,
62,
8,
7054,
40111,
16034,
3084,
62,
3672,
62,
2079,
33411,
4279,
796,
366,
2999,
362,
1,
5357,
4200,
834,
24540,
62,
3,
62,
1875,
17318,
13,
16
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4511,
5991,
11052,
357,
24540,
720,
828,
618,
10916,
318,
7816,
362,
11,
290,
618,
17329,
357,
24540,
720,
8,
318,
3744,
621,
17318,
13,
16,
30,
46506,
25882,
7,
10728,
62,
8367,
834,
24540,
62,
8,
7054,
40111,
16034,
3084,
62,
3672,
62,
2079,
33411,
4279,
796,
366,
2999,
362,
1,
5357,
4200,
834,
24540,
62,
3,
62,
1875,
17318,
13,
16
] |
What was the average for contestants with a swimsuit score of 8.266? | SELECT average FROM table_16390001_2 WHERE swimsuit = "8.266" | [
2061,
373,
262,
2811,
329,
37851,
351,
257,
9422,
6063,
4776,
286,
807,
13,
25540,
30,
46506,
2811,
16034,
3084,
62,
1433,
2670,
18005,
62,
17,
33411,
9422,
6063,
796,
366,
23,
13,
25540,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2811,
329,
37851,
351,
257,
9422,
6063,
4776,
286,
807,
13,
25540,
30,
46506,
2811,
16034,
3084,
62,
1433,
2670,
18005,
62,
17,
33411,
9422,
6063,
796,
366,
23,
13,
25540,
1
] |
How many attended the game against the sharks with over 86 points? | SELECT AVG(attendance) FROM table_name_99 WHERE points > 86 AND opponent = "sharks" | [
2437,
867,
9141,
262,
983,
1028,
262,
27476,
351,
625,
9849,
2173,
30,
46506,
35224,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
2079,
33411,
2173,
1875,
9849,
5357,
6125,
796,
366,
1477,
5558,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9141,
262,
983,
1028,
262,
27476,
351,
625,
9849,
2173,
30,
46506,
35224,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
2079,
33411,
2173,
1875,
9849,
5357,
6125,
796,
366,
1477,
5558,
1
] |
count the number of patients who are married with lab test category chemistry. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab."CATEGORY" = "Chemistry" | [
9127,
262,
1271,
286,
3871,
508,
389,
6405,
351,
2248,
1332,
6536,
16585,
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,
3876,
1287,
62,
13376,
796,
366,
40569,
7112,
1961,
1,
5357,
2248,
526,
34,
6158,
38,
15513,
1,
796,
366,
41829,
4592,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9127,
262,
1271,
286,
3871,
508,
389,
6405,
351,
2248,
1332,
6536,
16585,
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,
3876,
1287,
62,
13376,
796,
366,
40569,
7112,
1961,
1,
5357,
2248,
526,
34,
6158,
38,
15513,
1,
796,
366,
41829,
4592,
1
] |
how many patients whose admission year is less than 2190 and procedure icd9 code is 8855? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2190" AND procedures.icd9_code = "8855" | [
4919,
867,
3871,
3025,
13938,
614,
318,
1342,
621,
362,
19782,
290,
8771,
14158,
67,
24,
2438,
318,
9193,
2816,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
76,
414,
451,
1279,
366,
17,
19782,
1,
5357,
9021,
13,
291,
67,
24,
62,
8189,
796,
366,
3459,
2816,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
3871,
3025,
13938,
614,
318,
1342,
621,
362,
19782,
290,
8771,
14158,
67,
24,
2438,
318,
9193,
2816,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
76,
414,
451,
1279,
366,
17,
19782,
1,
5357,
9021,
13,
291,
67,
24,
62,
8189,
796,
366,
3459,
2816,
1
] |
What team is in the city of Rock Island? | SELECT "Team Name" FROM table_30143 WHERE "City" = 'Rock Island' | [
2061,
1074,
318,
287,
262,
1748,
286,
4631,
5451,
30,
46506,
366,
15592,
6530,
1,
16034,
3084,
62,
18938,
3559,
33411,
366,
14941,
1,
796,
705,
19665,
5451,
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,
1074,
318,
287,
262,
1748,
286,
4631,
5451,
30,
46506,
366,
15592,
6530,
1,
16034,
3084,
62,
18938,
3559,
33411,
366,
14941,
1,
796,
705,
19665,
5451,
6
] |
What did you try?' Comments. | SELECT C.PostId AS "post_link", C.Text, C.CreationDate, C.UserId, U.DisplayName FROM Comments AS C JOIN Users AS U ON C.UserId = U.Id WHERE REPLACE(UPPER(C.Text), ' ', '') = 'WHATDIDYOUTRY?' ORDER BY C.CreationDate | [
2061,
750,
345,
1949,
8348,
19502,
13,
46506,
327,
13,
6307,
7390,
7054,
366,
7353,
62,
8726,
1600,
327,
13,
8206,
11,
327,
13,
12443,
341,
10430,
11,
327,
13,
12982,
7390,
11,
471,
13,
23114,
5376,
16034,
19502,
7054,
327,
32357,
1268,
18987,
7054,
471,
6177,
327,
13,
12982,
7390,
796,
471,
13,
7390,
33411,
45285,
11598,
7,
8577,
18973,
7,
34,
13,
8206,
828,
705,
46083,
10148,
8,
796,
705,
32971,
35,
2389,
36981,
40405,
8348,
38678,
11050,
327,
13,
12443,
341,
10430
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
750,
345,
1949,
8348,
19502,
13,
46506,
327,
13,
6307,
7390,
7054,
366,
7353,
62,
8726,
1600,
327,
13,
8206,
11,
327,
13,
12443,
341,
10430,
11,
327,
13,
12982,
7390,
11,
471,
13,
23114,
5376,
16034,
19502,
7054,
327,
32357,
1268,
18987,
7054,
471,
6177,
327,
13,
12982,
7390,
796,
471,
13,
7390,
33411,
45285,
11598,
7,
8577,
18973,
7,
34,
13,
8206,
828,
705,
46083,
10148,
8,
796,
705,
32971,
35,
2389,
36981,
40405,
8348,
38678,
11050,
327,
13,
12443,
341,
10430
] |
At what race does jim clark has a Pole position on the Circuit of monaco? | SELECT race FROM table_name_72 WHERE pole_position = "jim clark" AND circuit = "monaco" | [
2953,
644,
3234,
857,
474,
320,
537,
668,
468,
257,
29385,
2292,
319,
262,
13588,
286,
937,
10602,
30,
46506,
3234,
16034,
3084,
62,
3672,
62,
4761,
33411,
16825,
62,
9150,
796,
366,
73,
320,
537,
668,
1,
5357,
10349,
796,
366,
2144,
10602,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3234,
857,
474,
320,
537,
668,
468,
257,
29385,
2292,
319,
262,
13588,
286,
937,
10602,
30,
46506,
3234,
16034,
3084,
62,
3672,
62,
4761,
33411,
16825,
62,
9150,
796,
366,
73,
320,
537,
668,
1,
5357,
10349,
796,
366,
2144,
10602,
1
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.