instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
What is the score for the game with an 11 tie number? | SELECT "Score" FROM table_63895 WHERE "Tie no" = '11' | [
2061,
318,
262,
4776,
329,
262,
983,
351,
281,
1367,
9839,
1271,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
21,
2548,
3865,
33411,
366,
51,
494,
645,
1,
796,
705,
1157,
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,
318,
262,
4776,
329,
262,
983,
351,
281,
1367,
9839,
1271,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
21,
2548,
3865,
33411,
366,
51,
494,
645,
1,
796,
705,
1157,
6
] |
when was the first time that the heartrate of patient 006-158689 was measured / taken? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-158689')) AND NOT vitalperiodic.heartrate IS NU... | [
12518,
373,
262,
717,
640,
326,
262,
2612,
4873,
286,
5827,
3571,
21,
12,
21273,
40523,
373,
8630,
1220,
2077,
30,
46506,
9204,
41007,
291,
13,
672,
3168,
341,
2435,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12518,
373,
262,
717,
640,
326,
262,
2612,
4873,
286,
5827,
3571,
21,
12,
21273,
40523,
373,
8630,
1220,
2077,
30,
46506,
9204,
41007,
291,
13,
672,
3168,
341,
2435,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
... |
Name the 2003 which has a 2000 of , and a 2007 of , and a 2010 of ? | SELECT "2003" FROM table_46117 WHERE "2000" = '—' AND "2007" = '—' AND "2010" = '—' | [
5376,
262,
5816,
543,
468,
257,
4751,
286,
837,
290,
257,
4343,
286,
837,
290,
257,
3050,
286,
5633,
46506,
366,
16088,
1,
16034,
3084,
62,
3510,
17657,
33411,
366,
11024,
1,
796,
705,
960,
6,
5357,
366,
12726,
1,
796,
705,
960,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
5816,
543,
468,
257,
4751,
286,
837,
290,
257,
4343,
286,
837,
290,
257,
3050,
286,
5633,
46506,
366,
16088,
1,
16034,
3084,
62,
3510,
17657,
33411,
366,
11024,
1,
796,
705,
960,
6,
5357,
366,
12726,
1,
796,
705,
960,
6... |
How many tackle assists for the player who averages 23.7? | SELECT "Ast" FROM table_72955 WHERE "Avg" = '23.7' | [
2437,
867,
9761,
13648,
329,
262,
2137,
508,
25694,
2242,
13,
22,
30,
46506,
366,
33751,
1,
16034,
3084,
62,
48555,
2816,
33411,
366,
48997,
1,
796,
705,
1954,
13,
22,
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
] | [
2437,
867,
9761,
13648,
329,
262,
2137,
508,
25694,
2242,
13,
22,
30,
46506,
366,
33751,
1,
16034,
3084,
62,
48555,
2816,
33411,
366,
48997,
1,
796,
705,
1954,
13,
22,
6
] |
count the number of patients whose primary disease is sepsis and procedure icd9 code is 9960? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "SEPSIS" AND procedures.icd9_code = "9960" | [
9127,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
384,
862,
271,
290,
8771,
14158,
67,
24,
2438,
318,
7388,
1899,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9127,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
384,
862,
271,
290,
8771,
14158,
67,
24,
2438,
318,
7388,
1899,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
... |
fpg > 125 mg / dl or < 105 mg / dl at screening blood draw | SELECT * FROM table_train_154 WHERE fpg > 125 OR fpg < 105 | [
69,
6024,
1875,
13151,
10527,
1220,
288,
75,
393,
1279,
13343,
10527,
1220,
288,
75,
379,
14135,
2910,
3197,
46506,
1635,
16034,
3084,
62,
27432,
62,
21526,
33411,
277,
6024,
1875,
13151,
6375,
277,
6024,
1279,
13343
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
69,
6024,
1875,
13151,
10527,
1220,
288,
75,
393,
1279,
13343,
10527,
1220,
288,
75,
379,
14135,
2910,
3197,
46506,
1635,
16034,
3084,
62,
27432,
62,
21526,
33411,
277,
6024,
1875,
13151,
6375,
277,
6024,
1279,
13343
] |
What is the oldest age for each gender of student? Return a bar chart, could you order by the Y in asc? | SELECT Sex, MAX(Age) FROM Student GROUP BY Sex ORDER BY MAX(Age) | [
2061,
318,
262,
13325,
2479,
329,
1123,
5279,
286,
3710,
30,
8229,
257,
2318,
8262,
11,
714,
345,
1502,
416,
262,
575,
287,
10570,
30,
46506,
14419,
11,
25882,
7,
23396,
8,
16034,
13613,
44441,
11050,
14419,
38678,
11050,
25882,
7,
23... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
13325,
2479,
329,
1123,
5279,
286,
3710,
30,
8229,
257,
2318,
8262,
11,
714,
345,
1502,
416,
262,
575,
287,
10570,
30,
46506,
14419,
11,
25882,
7,
23396,
8,
16034,
13613,
44441,
11050,
14419,
38678,
11050,
25882,
7,
23... |
what were the five frequent specimen tests that were conducted since 2102? | SELECT t1.culturesite FROM (SELECT microlab.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microlab WHERE STRFTIME('%y', microlab.culturetakentime) >= '2102' GROUP BY microlab.culturesite) AS t1 WHERE t1.c1 <= 5 | [
10919,
547,
262,
1936,
10792,
31674,
5254,
326,
547,
5952,
1201,
362,
15377,
30,
46506,
256,
16,
13,
40820,
942,
578,
16034,
357,
46506,
4580,
23912,
13,
40820,
942,
578,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1936,
10792,
31674,
5254,
326,
547,
5952,
1201,
362,
15377,
30,
46506,
256,
16,
13,
40820,
942,
578,
16034,
357,
46506,
4580,
23912,
13,
40820,
942,
578,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
1... |
Give me the comparison about ACC_Percent over the All_Neutral , and rank by the total number in desc. | SELECT All_Neutral, ACC_Percent FROM basketball_match ORDER BY ACC_Percent DESC | [
23318,
502,
262,
7208,
546,
15859,
62,
31905,
625,
262,
1439,
62,
8199,
6815,
837,
290,
4279,
416,
262,
2472,
1271,
287,
1715,
13,
46506,
1439,
62,
8199,
6815,
11,
15859,
62,
31905,
16034,
9669,
62,
15699,
38678,
11050,
15859,
62,
319... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
502,
262,
7208,
546,
15859,
62,
31905,
625,
262,
1439,
62,
8199,
6815,
837,
290,
4279,
416,
262,
2472,
1271,
287,
1715,
13,
46506,
1439,
62,
8199,
6815,
11,
15859,
62,
31905,
16034,
9669,
62,
15699,
38678,
11050,
15859,
62,
319... |
Give me the comparison about the amount of ACC_Road over the ACC_Road , and group by attribute ACC_Road, display y-axis in ascending order. | SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY COUNT(ACC_Road) | [
23318,
502,
262,
7208,
546,
262,
2033,
286,
15859,
62,
29197,
625,
262,
15859,
62,
29197,
837,
290,
1448,
416,
11688,
15859,
62,
29197,
11,
3359,
331,
12,
22704,
287,
41988,
1502,
13,
46506,
15859,
62,
29197,
11,
327,
28270,
7,
26861,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
502,
262,
7208,
546,
262,
2033,
286,
15859,
62,
29197,
625,
262,
15859,
62,
29197,
837,
290,
1448,
416,
11688,
15859,
62,
29197,
11,
3359,
331,
12,
22704,
287,
41988,
1502,
13,
46506,
15859,
62,
29197,
11,
327,
28270,
7,
26861,... |
what was the number of stages in the 1983 tour de france ? | SELECT COUNT("stage") FROM table_203_25 | [
10919,
373,
262,
1271,
286,
9539,
287,
262,
13540,
4205,
390,
1216,
590,
5633,
46506,
327,
28270,
7203,
14247,
4943,
16034,
3084,
62,
22416,
62,
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
] | [
10919,
373,
262,
1271,
286,
9539,
287,
262,
13540,
4205,
390,
1216,
590,
5633,
46506,
327,
28270,
7203,
14247,
4943,
16034,
3084,
62,
22416,
62,
1495
] |
Result of 88-85 ot (1-0) involves what game? | SELECT "Game" FROM table_75399 WHERE "Result" = '88-85 ot (1-0)' | [
23004,
286,
9193,
12,
5332,
30972,
357,
16,
12,
15,
8,
9018,
644,
983,
30,
46506,
366,
8777,
1,
16034,
3084,
62,
2425,
28771,
33411,
366,
23004,
1,
796,
705,
3459,
12,
5332,
30972,
357,
16,
12,
15,
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
] | [
23004,
286,
9193,
12,
5332,
30972,
357,
16,
12,
15,
8,
9018,
644,
983,
30,
46506,
366,
8777,
1,
16034,
3084,
62,
2425,
28771,
33411,
366,
23004,
1,
796,
705,
3459,
12,
5332,
30972,
357,
16,
12,
15,
33047
] |
who ranked first in the preliminary ? | SELECT "diver" FROM table_203_780 WHERE "preliminary\nrank" = 1 | [
8727,
10307,
717,
287,
262,
15223,
5633,
46506,
366,
67,
1428,
1,
16034,
3084,
62,
22416,
62,
40873,
33411,
366,
79,
2411,
38429,
59,
77,
43027,
1,
796,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8727,
10307,
717,
287,
262,
15223,
5633,
46506,
366,
67,
1428,
1,
16034,
3084,
62,
22416,
62,
40873,
33411,
366,
79,
2411,
38429,
59,
77,
43027,
1,
796,
352
] |
provide the number of patients whose primary disease is sdh and lab test fluid is urine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "SDH" AND lab.fluid = "Urine" | [
15234,
485,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
264,
34985,
290,
2248,
1332,
11711,
318,
18922,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
15234,
485,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
264,
34985,
290,
2248,
1332,
11711,
318,
18922,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
... |
how many patients whose procedure icd9 code is 3897 and drug route is buccal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "3897" AND prescriptions.route = "BUCCAL" | [
4919,
867,
3871,
3025,
8771,
14158,
67,
24,
2438,
318,
4353,
5607,
290,
2563,
6339,
318,
809,
535,
282,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8771,
14158,
67,
24,
2438,
318,
4353,
5607,
290,
2563,
6339,
318,
809,
535,
282,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
... |
Which Cup Apps (sub) had 2 goals? | SELECT cup_apps__sub_ FROM table_name_59 WHERE cup_goals = "2" | [
13828,
5454,
27710,
357,
7266,
8,
550,
362,
4661,
30,
46506,
6508,
62,
18211,
834,
7266,
62,
16034,
3084,
62,
3672,
62,
3270,
33411,
6508,
62,
2188,
874,
796,
366,
17,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
5454,
27710,
357,
7266,
8,
550,
362,
4661,
30,
46506,
6508,
62,
18211,
834,
7266,
62,
16034,
3084,
62,
3672,
62,
3270,
33411,
6508,
62,
2188,
874,
796,
366,
17,
1
] |
Which tournament had a performance of 1R in 2004 and 2R in 1998? | SELECT tournament FROM table_name_79 WHERE 2004 = "1r" AND 1998 = "2r" | [
13828,
7756,
550,
257,
2854,
286,
352,
49,
287,
5472,
290,
362,
49,
287,
7795,
30,
46506,
7756,
16034,
3084,
62,
3672,
62,
3720,
33411,
5472,
796,
366,
16,
81,
1,
5357,
7795,
796,
366,
17,
81,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
7756,
550,
257,
2854,
286,
352,
49,
287,
5472,
290,
362,
49,
287,
7795,
30,
46506,
7756,
16034,
3084,
62,
3672,
62,
3720,
33411,
5472,
796,
366,
16,
81,
1,
5357,
7795,
796,
366,
17,
81,
1
] |
Which mideast regional state contains the city of Seattle? | SELECT state FROM table_name_53 WHERE region = "mideast" AND city = "seattle" | [
13828,
285,
485,
459,
7915,
1181,
4909,
262,
1748,
286,
7312,
30,
46506,
1181,
16034,
3084,
62,
3672,
62,
4310,
33411,
3814,
796,
366,
76,
485,
459,
1,
5357,
1748,
796,
366,
325,
1999,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
285,
485,
459,
7915,
1181,
4909,
262,
1748,
286,
7312,
30,
46506,
1181,
16034,
3084,
62,
3672,
62,
4310,
33411,
3814,
796,
366,
76,
485,
459,
1,
5357,
1748,
796,
366,
325,
1999,
1
] |
i need flight information for a flight departing from INDIANAPOLIS to CLEVELAND departing tuesday at 1200 | SELECT DISTINCT flight_id FROM flight WHERE (((departure_time = 1200 AND flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 22 AND DATE_DAYalias0.month_number = 3 AND DATE_DAYa... | [
72,
761,
5474,
1321,
329,
257,
5474,
37717,
422,
24413,
16868,
2969,
3535,
1797,
284,
30301,
18697,
6981,
37717,
256,
3322,
379,
24938,
46506,
360,
8808,
1268,
4177,
5474,
62,
312,
16034,
5474,
33411,
14808,
7,
10378,
433,
495,
62,
2435... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
72,
761,
5474,
1321,
329,
257,
5474,
37717,
422,
24413,
16868,
2969,
3535,
1797,
284,
30301,
18697,
6981,
37717,
256,
3322,
379,
24938,
46506,
360,
8808,
1268,
4177,
5474,
62,
312,
16034,
5474,
33411,
14808,
7,
10378,
433,
495,
62,
2435... |
List all the document names which contains 'CV'. | SELECT document_name FROM documents WHERE document_name LIKE "%CV%" | [
8053,
477,
262,
3188,
3891,
543,
4909,
705,
33538,
4458,
46506,
3188,
62,
3672,
16034,
4963,
33411,
3188,
62,
3672,
34178,
36521,
33538,
39658
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8053,
477,
262,
3188,
3891,
543,
4909,
705,
33538,
4458,
46506,
3188,
62,
3672,
16034,
4963,
33411,
3188,
62,
3672,
34178,
36521,
33538,
39658
] |
What day in February was the team 17-29-7? | SELECT MAX(february) FROM table_27539535_7 WHERE record = "17-29-7" | [
2061,
1110,
287,
3945,
373,
262,
1074,
1596,
12,
1959,
12,
22,
30,
46506,
25882,
7,
69,
1765,
3728,
8,
16034,
3084,
62,
23195,
31010,
2327,
62,
22,
33411,
1700,
796,
366,
1558,
12,
1959,
12,
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
] | [
2061,
1110,
287,
3945,
373,
262,
1074,
1596,
12,
1959,
12,
22,
30,
46506,
25882,
7,
69,
1765,
3728,
8,
16034,
3084,
62,
23195,
31010,
2327,
62,
22,
33411,
1700,
796,
366,
1558,
12,
1959,
12,
22,
1
] |
what is the total number of times the tournament was pga championship and evens is less than 4? | SELECT COUNT(top_5) FROM table_name_95 WHERE tournament = "pga championship" AND events < 4 | [
10919,
318,
262,
2472,
1271,
286,
1661,
262,
7756,
373,
279,
4908,
12184,
290,
772,
82,
318,
1342,
621,
604,
30,
46506,
327,
28270,
7,
4852,
62,
20,
8,
16034,
3084,
62,
3672,
62,
3865,
33411,
7756,
796,
366,
79,
4908,
12184,
1,
53... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2472,
1271,
286,
1661,
262,
7756,
373,
279,
4908,
12184,
290,
772,
82,
318,
1342,
621,
604,
30,
46506,
327,
28270,
7,
4852,
62,
20,
8,
16034,
3084,
62,
3672,
62,
3865,
33411,
7756,
796,
366,
79,
4908,
12184,
1,
53... |
provide the number of patients whose marital status is single and admission year is less than 2184? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admityear < "2184" | [
15234,
485,
262,
1271,
286,
3871,
3025,
29555,
3722,
318,
2060,
290,
13938,
614,
318,
1342,
621,
362,
22883,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
3876,
1287,
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
] | [
15234,
485,
262,
1271,
286,
3871,
3025,
29555,
3722,
318,
2060,
290,
13938,
614,
318,
1342,
621,
362,
22883,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
3876,
1287,
62,... |
Who had the high rebounds when the score was l 85 102 (ot)? | SELECT "High rebounds" FROM table_47369 WHERE "Score" = 'l 85–102 (ot)' | [
8241,
550,
262,
1029,
18841,
618,
262,
4776,
373,
300,
7600,
15143,
357,
313,
19427,
46506,
366,
11922,
18841,
1,
16034,
3084,
62,
2857,
30803,
33411,
366,
26595,
1,
796,
705,
75,
7600,
1906,
15377,
357,
313,
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
] | [
8241,
550,
262,
1029,
18841,
618,
262,
4776,
373,
300,
7600,
15143,
357,
313,
19427,
46506,
366,
11922,
18841,
1,
16034,
3084,
62,
2857,
30803,
33411,
366,
26595,
1,
796,
705,
75,
7600,
1906,
15377,
357,
313,
33047
] |
If the residence is Chagrin falls, who is the representative? | SELECT representative FROM table_26131768_4 WHERE residence = "Chagrin Falls" | [
1532,
262,
11566,
318,
609,
363,
12769,
8953,
11,
508,
318,
262,
8852,
30,
46506,
8852,
16034,
3084,
62,
2075,
1485,
1558,
3104,
62,
19,
33411,
11566,
796,
366,
1925,
363,
12769,
17930,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11566,
318,
609,
363,
12769,
8953,
11,
508,
318,
262,
8852,
30,
46506,
8852,
16034,
3084,
62,
2075,
1485,
1558,
3104,
62,
19,
33411,
11566,
796,
366,
1925,
363,
12769,
17930,
1
] |
Who were the opponents for the event in Milan, Italy? | SELECT "Opponent" FROM table_44146 WHERE "Tournament" = 'milan, italy' | [
8241,
547,
262,
7691,
329,
262,
1785,
287,
21574,
11,
8031,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2598,
20964,
33411,
366,
51,
5138,
1,
796,
705,
25433,
272,
11,
340,
3400,
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
] | [
8241,
547,
262,
7691,
329,
262,
1785,
287,
21574,
11,
8031,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2598,
20964,
33411,
366,
51,
5138,
1,
796,
705,
25433,
272,
11,
340,
3400,
6
] |
count the number of private health insurance patients who have been diagnosed with unspecified rheumatic heart disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Rheumatic heart disease, unspecified" | [
9127,
262,
1271,
286,
2839,
1535,
5096,
3871,
508,
423,
587,
14641,
351,
29547,
374,
258,
16735,
2612,
4369,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2839,
1535,
5096,
3871,
508,
423,
587,
14641,
351,
29547,
374,
258,
16735,
2612,
4369,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
... |
What is the average Points when the engine was a climax straight-4 earlier than 1958? | SELECT AVG("Points") FROM table_14464 WHERE "Engine" = 'climax straight-4' AND "Year" < '1958' | [
2061,
318,
262,
2811,
11045,
618,
262,
3113,
373,
257,
30032,
3892,
12,
19,
2961,
621,
24648,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
18444,
2414,
33411,
366,
13798,
1,
796,
705,
565,
320,
897,
3892,
12,
19,
6,
5357,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11045,
618,
262,
3113,
373,
257,
30032,
3892,
12,
19,
2961,
621,
24648,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
18444,
2414,
33411,
366,
13798,
1,
796,
705,
565,
320,
897,
3892,
12,
19,
6,
5357,
3... |
When was the record 3-3? | SELECT date FROM table_name_99 WHERE record = "3-3" | [
2215,
373,
262,
1700,
513,
12,
18,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2079,
33411,
1700,
796,
366,
18,
12,
18,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
373,
262,
1700,
513,
12,
18,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2079,
33411,
1700,
796,
366,
18,
12,
18,
1
] |
Show me the departure date and arrival date for all flights from Los Angeles to Honolulu. | SELECT departure_date, arrival_date FROM flight WHERE origin = "Los Angeles" AND destination = "Honolulu" | [
15307,
502,
262,
12928,
3128,
290,
10325,
3128,
329,
477,
13956,
422,
5401,
5652,
284,
43296,
13,
46506,
12928,
62,
4475,
11,
10325,
62,
4475,
16034,
5474,
33411,
8159,
796,
366,
28903,
5652,
1,
5357,
10965,
796,
366,
29478,
39814,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
12928,
3128,
290,
10325,
3128,
329,
477,
13956,
422,
5401,
5652,
284,
43296,
13,
46506,
12928,
62,
4475,
11,
10325,
62,
4475,
16034,
5474,
33411,
8159,
796,
366,
28903,
5652,
1,
5357,
10965,
796,
366,
29478,
39814,
1
] |
What is the Runners-up of the game with a Result of 4 1 and Champions of Wonju Dongbu Promy? | SELECT "Runners-up" FROM table_47213 WHERE "Result" = '4–1' AND "Champions" = 'wonju dongbu promy' | [
2061,
318,
262,
5660,
2741,
12,
929,
286,
262,
983,
351,
257,
25414,
286,
604,
352,
290,
6662,
286,
23306,
14396,
28831,
11110,
10335,
88,
30,
46506,
366,
10987,
2741,
12,
929,
1,
16034,
3084,
62,
2857,
26427,
33411,
366,
23004,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5660,
2741,
12,
929,
286,
262,
983,
351,
257,
25414,
286,
604,
352,
290,
6662,
286,
23306,
14396,
28831,
11110,
10335,
88,
30,
46506,
366,
10987,
2741,
12,
929,
1,
16034,
3084,
62,
2857,
26427,
33411,
366,
23004,
1,
... |
Which advisors have more than two students? | SELECT advisor FROM student GROUP BY advisor HAVING COUNT(*) > 2 | [
13828,
32456,
423,
517,
621,
734,
2444,
30,
46506,
20685,
16034,
3710,
44441,
11050,
20685,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
362
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
32456,
423,
517,
621,
734,
2444,
30,
46506,
20685,
16034,
3710,
44441,
11050,
20685,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
362
] |
let me know the primary disease and type of admission for patient cynthia gomez. | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Cynthia Gomez" | [
1616,
502,
760,
262,
4165,
4369,
290,
2099,
286,
13938,
329,
5827,
19768,
31079,
308,
30010,
13,
46506,
16728,
13,
324,
3411,
62,
4906,
11,
16728,
13,
47356,
5958,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
34,
2047,
31079,
33231,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4165,
4369,
290,
2099,
286,
13938,
329,
5827,
19768,
31079,
308,
30010,
13,
46506,
16728,
13,
324,
3411,
62,
4906,
11,
16728,
13,
47356,
5958,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
34,
2047,
31079,
33231,
... |
uncontrolled hypertension, > 160 mmhg systolic or > 100 mmhg diastolic | SELECT * FROM table_dev_49 WHERE hypertension = 1 OR systolic_blood_pressure_sbp > 160 OR diastolic_blood_pressure_dbp > 100 | [
403,
14401,
37454,
11,
1875,
13454,
8085,
71,
70,
827,
301,
4160,
393,
1875,
1802,
8085,
71,
70,
2566,
459,
4160,
46506,
1635,
16034,
3084,
62,
7959,
62,
2920,
33411,
37454,
796,
352,
6375,
827,
301,
4160,
62,
18041,
62,
36151,
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
] | [
403,
14401,
37454,
11,
1875,
13454,
8085,
71,
70,
827,
301,
4160,
393,
1875,
1802,
8085,
71,
70,
2566,
459,
4160,
46506,
1635,
16034,
3084,
62,
7959,
62,
2920,
33411,
37454,
796,
352,
6375,
827,
301,
4160,
62,
18041,
62,
36151,
62,
... |
Which sport has 17 as the medal count? | SELECT "Sport" FROM table_63603 WHERE "Medal count" = '17' | [
13828,
6332,
468,
1596,
355,
262,
18279,
954,
30,
46506,
366,
42576,
1,
16034,
3084,
62,
5066,
35642,
33411,
366,
9921,
282,
954,
1,
796,
705,
1558,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
6332,
468,
1596,
355,
262,
18279,
954,
30,
46506,
366,
42576,
1,
16034,
3084,
62,
5066,
35642,
33411,
366,
9921,
282,
954,
1,
796,
705,
1558,
6
] |
If the race time is 2:00:33, what is the average speed? | SELECT average_speed__mph_ FROM table_2260452_1 WHERE race_time = "2:00:33" | [
1532,
262,
3234,
640,
318,
362,
25,
405,
25,
2091,
11,
644,
318,
262,
2811,
2866,
30,
46506,
2811,
62,
12287,
834,
23335,
62,
16034,
3084,
62,
1828,
1899,
37730,
62,
16,
33411,
3234,
62,
2435,
796,
366,
17,
25,
405,
25,
2091,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3234,
640,
318,
362,
25,
405,
25,
2091,
11,
644,
318,
262,
2811,
2866,
30,
46506,
2811,
62,
12287,
834,
23335,
62,
16034,
3084,
62,
1828,
1899,
37730,
62,
16,
33411,
3234,
62,
2435,
796,
366,
17,
25,
405,
25,
2091,
1
] |
Which venue was used 11 february 1996? | SELECT venue FROM table_name_45 WHERE date = "11 february 1996" | [
13828,
14359,
373,
973,
1367,
730,
65,
3728,
8235,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
2231,
33411,
3128,
796,
366,
1157,
730,
65,
3728,
8235,
1
] | [
1,
1,
1,
1,
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,
14359,
373,
973,
1367,
730,
65,
3728,
8235,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
2231,
33411,
3128,
796,
366,
1157,
730,
65,
3728,
8235,
1
] |
What is the Pole Position of the Portuguese Grand Prix? | SELECT "Pole Position" FROM table_56345 WHERE "Grand Prix" = 'portuguese grand prix' | [
2061,
318,
262,
29385,
23158,
286,
262,
21813,
5675,
23832,
30,
46506,
366,
47,
2305,
23158,
1,
16034,
3084,
62,
3980,
27712,
33411,
366,
23581,
23832,
1,
796,
705,
634,
1018,
20506,
4490,
1293,
87,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
29385,
23158,
286,
262,
21813,
5675,
23832,
30,
46506,
366,
47,
2305,
23158,
1,
16034,
3084,
62,
3980,
27712,
33411,
366,
23581,
23832,
1,
796,
705,
634,
1018,
20506,
4490,
1293,
87,
6
] |
What is the grid for the driver with an electrical time/retired and 51 laps? | SELECT "Grid" FROM table_44913 WHERE "Time/Retired" = 'electrical' AND "Laps" = '51' | [
2061,
318,
262,
10706,
329,
262,
4639,
351,
281,
12278,
640,
14,
1186,
1202,
290,
6885,
24590,
30,
46506,
366,
41339,
1,
16034,
3084,
62,
31911,
1485,
33411,
366,
7575,
14,
9781,
1202,
1,
796,
705,
9509,
8143,
6,
5357,
366,
43,
1686... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
329,
262,
4639,
351,
281,
12278,
640,
14,
1186,
1202,
290,
6885,
24590,
30,
46506,
366,
41339,
1,
16034,
3084,
62,
31911,
1485,
33411,
366,
7575,
14,
9781,
1202,
1,
796,
705,
9509,
8143,
6,
5357,
366,
43,
1686... |
What is the goal difference for entries with more than 6 draws, a position lower than 12, and fewer than 9 wins? | SELECT goal_difference FROM table_name_97 WHERE draws > 6 AND position > 12 AND wins < 9 | [
2061,
318,
262,
3061,
3580,
329,
12784,
351,
517,
621,
718,
14293,
11,
257,
2292,
2793,
621,
1105,
11,
290,
7380,
621,
860,
7864,
30,
46506,
3061,
62,
26069,
1945,
16034,
3084,
62,
3672,
62,
5607,
33411,
14293,
1875,
718,
5357,
2292,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3061,
3580,
329,
12784,
351,
517,
621,
718,
14293,
11,
257,
2292,
2793,
621,
1105,
11,
290,
7380,
621,
860,
7864,
30,
46506,
3061,
62,
26069,
1945,
16034,
3084,
62,
3672,
62,
5607,
33411,
14293,
1875,
718,
5357,
2292,
... |
Tell me the highest laps for toyota and grid of 13 | SELECT MAX("Laps") FROM table_58522 WHERE "Constructor" = 'toyota' AND "Grid" = '13' | [
24446,
502,
262,
4511,
24590,
329,
13373,
4265,
290,
10706,
286,
1511,
46506,
25882,
7203,
43,
1686,
4943,
16034,
3084,
62,
38905,
1828,
33411,
366,
42316,
273,
1,
796,
705,
83,
726,
4265,
6,
5357,
366,
41339,
1,
796,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
24446,
502,
262,
4511,
24590,
329,
13373,
4265,
290,
10706,
286,
1511,
46506,
25882,
7203,
43,
1686,
4943,
16034,
3084,
62,
38905,
1828,
33411,
366,
42316,
273,
1,
796,
705,
83,
726,
4265,
6,
5357,
366,
41339,
1,
796,
705,
1485,
6
] |
Return the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones, and count them by a line chart, could you list x axis in ascending order please? | SELECT Date_of_Birth, COUNT(Date_of_Birth) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY Date_of_Birth | [
13615,
262,
9667,
286,
4082,
329,
17038,
508,
423,
2035,
262,
15811,
11288,
5326,
305,
16658,
393,
5613,
5437,
11,
290,
954,
606,
416,
257,
1627,
8262,
11,
714,
345,
1351,
2124,
16488,
287,
41988,
1502,
3387,
30,
46506,
7536,
62,
1659... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9667,
286,
4082,
329,
17038,
508,
423,
2035,
262,
15811,
11288,
5326,
305,
16658,
393,
5613,
5437,
11,
290,
954,
606,
416,
257,
1627,
8262,
11,
714,
345,
1351,
2124,
16488,
287,
41988,
1502,
3387,
30,
46506,
7536,
62,
1659... |
Who wrote episode number 11? | SELECT "Written by" FROM table_31053 WHERE "No. in season" = '11' | [
8241,
2630,
4471,
1271,
1367,
30,
46506,
366,
25354,
416,
1,
16034,
3084,
62,
26717,
4310,
33411,
366,
2949,
13,
287,
1622,
1,
796,
705,
1157,
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
] | [
8241,
2630,
4471,
1271,
1367,
30,
46506,
366,
25354,
416,
1,
16034,
3084,
62,
26717,
4310,
33411,
366,
2949,
13,
287,
1622,
1,
796,
705,
1157,
6
] |
presence of significant anemia ( hemoglobin < 11 g / dl ) | SELECT * FROM table_train_207 WHERE anemia = 1 OR hemoglobin_a1c_hba1c < 11 | [
18302,
594,
286,
2383,
281,
22859,
357,
16869,
49835,
1279,
1367,
308,
1220,
288,
75,
1267,
46506,
1635,
16034,
3084,
62,
27432,
62,
22745,
33411,
281,
22859,
796,
352,
6375,
16869,
49835,
62,
64,
16,
66,
62,
71,
7012,
16,
66,
1279,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
18302,
594,
286,
2383,
281,
22859,
357,
16869,
49835,
1279,
1367,
308,
1220,
288,
75,
1267,
46506,
1635,
16034,
3084,
62,
27432,
62,
22745,
33411,
281,
22859,
796,
352,
6375,
16869,
49835,
62,
64,
16,
66,
62,
71,
7012,
16,
66,
1279,
... |
where was her first win ? | SELECT "location" FROM table_204_607 WHERE "place" = 1 ORDER BY "date" LIMIT 1 | [
3003,
373,
607,
717,
1592,
5633,
46506,
366,
24886,
1,
16034,
3084,
62,
18638,
62,
31980,
33411,
366,
5372,
1,
796,
352,
38678,
11050,
366,
4475,
1,
27564,
2043,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
3003,
373,
607,
717,
1592,
5633,
46506,
366,
24886,
1,
16034,
3084,
62,
18638,
62,
31980,
33411,
366,
5372,
1,
796,
352,
38678,
11050,
366,
4475,
1,
27564,
2043,
352
] |
Who proceeded to the quarter finals with a points margin of 21? | SELECT proceed_to_quarter_final FROM table_27986200_3 WHERE points_margin = 21 | [
8241,
18814,
284,
262,
3860,
18576,
351,
257,
2173,
10330,
286,
2310,
30,
46506,
5120,
62,
1462,
62,
24385,
62,
20311,
16034,
3084,
62,
1983,
49087,
2167,
62,
18,
33411,
2173,
62,
36153,
796,
2310
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
18814,
284,
262,
3860,
18576,
351,
257,
2173,
10330,
286,
2310,
30,
46506,
5120,
62,
1462,
62,
24385,
62,
20311,
16034,
3084,
62,
1983,
49087,
2167,
62,
18,
33411,
2173,
62,
36153,
796,
2310
] |
what were the three most frequently taken lab tests in 2104 for patients 50s? | SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 50 AND 59) AND STRFTIME('%y', lab.labresulttime) = '2104' GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 3 | [
10919,
547,
262,
1115,
749,
6777,
2077,
2248,
5254,
287,
362,
13464,
329,
3871,
2026,
82,
30,
46506,
256,
16,
13,
23912,
3672,
16034,
357,
46506,
2248,
13,
23912,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
110... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
749,
6777,
2077,
2248,
5254,
287,
362,
13464,
329,
3871,
2026,
82,
30,
46506,
256,
16,
13,
23912,
3672,
16034,
357,
46506,
2248,
13,
23912,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
110... |
Which Release date has a Production Num larger than 5888, and a Director of hugh harman and friz freleng? | SELECT release_date FROM table_name_69 WHERE production_num > 5888 AND director = "hugh harman and friz freleng" | [
13828,
13868,
3128,
468,
257,
19174,
31835,
4025,
621,
642,
28011,
11,
290,
257,
5890,
286,
289,
6724,
3971,
805,
290,
32803,
89,
2030,
75,
1516,
30,
46506,
2650,
62,
4475,
16034,
3084,
62,
3672,
62,
3388,
33411,
3227,
62,
22510,
1875... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13868,
3128,
468,
257,
19174,
31835,
4025,
621,
642,
28011,
11,
290,
257,
5890,
286,
289,
6724,
3971,
805,
290,
32803,
89,
2030,
75,
1516,
30,
46506,
2650,
62,
4475,
16034,
3084,
62,
3672,
62,
3388,
33411,
3227,
62,
22510,
1875... |
provide the number of patients aged below 76 years whose language is spanish. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.age < "76" | [
15234,
485,
262,
1271,
286,
3871,
9722,
2174,
8684,
812,
3025,
3303,
318,
599,
7115,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
16129,
796,
366,
4303,
1565,
1,
5357,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15234,
485,
262,
1271,
286,
3871,
9722,
2174,
8684,
812,
3025,
3303,
318,
599,
7115,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
16129,
796,
366,
4303,
1565,
1,
5357,
... |
What is the record for the w 100-99 score? | SELECT "Record" FROM table_47978 WHERE "Score" = 'w 100-99' | [
2061,
318,
262,
1700,
329,
262,
266,
1802,
12,
2079,
4776,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
31714,
3695,
33411,
366,
26595,
1,
796,
705,
86,
1802,
12,
2079,
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,
1700,
329,
262,
266,
1802,
12,
2079,
4776,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
31714,
3695,
33411,
366,
26595,
1,
796,
705,
86,
1802,
12,
2079,
6
] |
How many weeks in total has bye as the date? | SELECT COUNT(week) FROM table_name_23 WHERE date = "bye" | [
2437,
867,
2745,
287,
2472,
468,
33847,
355,
262,
3128,
30,
46506,
327,
28270,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
1954,
33411,
3128,
796,
366,
16390,
1
] | [
1,
1,
1,
1,
1,
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,
2745,
287,
2472,
468,
33847,
355,
262,
3128,
30,
46506,
327,
28270,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
1954,
33411,
3128,
796,
366,
16390,
1
] |
What is the average medal total when the rank is less than 5 and less than 7 bronze medals were won? | SELECT AVG("Total") FROM table_13102 WHERE "Rank" < '5' AND "Bronze" < '7' | [
2061,
318,
262,
2811,
18279,
2472,
618,
262,
4279,
318,
1342,
621,
642,
290,
1342,
621,
767,
22101,
28057,
547,
1839,
30,
46506,
35224,
7203,
14957,
4943,
16034,
3084,
62,
1485,
15377,
33411,
366,
27520,
1,
1279,
705,
20,
6,
5357,
366... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
18279,
2472,
618,
262,
4279,
318,
1342,
621,
642,
290,
1342,
621,
767,
22101,
28057,
547,
1839,
30,
46506,
35224,
7203,
14957,
4943,
16034,
3084,
62,
1485,
15377,
33411,
366,
27520,
1,
1279,
705,
20,
6,
5357,
366... |
What tournament did Thomaz Bellucci become runner-up on a clay surface? | SELECT tournament FROM table_name_82 WHERE outcome = "runner-up" AND surface = "clay" | [
2061,
7756,
750,
4323,
1031,
7459,
27501,
1716,
17490,
12,
929,
319,
257,
21558,
4417,
30,
46506,
7756,
16034,
3084,
62,
3672,
62,
6469,
33411,
8055,
796,
366,
16737,
12,
929,
1,
5357,
4417,
796,
366,
565,
323,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
7756,
750,
4323,
1031,
7459,
27501,
1716,
17490,
12,
929,
319,
257,
21558,
4417,
30,
46506,
7756,
16034,
3084,
62,
3672,
62,
6469,
33411,
8055,
796,
366,
16737,
12,
929,
1,
5357,
4417,
796,
366,
565,
323,
1
] |
what is minimum age of patients whose discharge location is short term hospital and days of hospital stay is 20? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND demographic.days_stay = "20" | [
10919,
318,
5288,
2479,
286,
3871,
3025,
17655,
4067,
318,
1790,
3381,
4436,
290,
1528,
286,
4436,
2652,
318,
1160,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
6381,
10136,
62,
24886,
796,
366,
9693,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5288,
2479,
286,
3871,
3025,
17655,
4067,
318,
1790,
3381,
4436,
290,
1528,
286,
4436,
2652,
318,
1160,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
6381,
10136,
62,
24886,
796,
366,
9693,
9... |
How many assists were made in the game against San Antonio? | SELECT COUNT("High assists") FROM table_21548 WHERE "Team" = 'San Antonio' | [
2437,
867,
13648,
547,
925,
287,
262,
983,
1028,
2986,
11366,
30,
46506,
327,
28270,
7203,
11922,
13648,
4943,
16034,
3084,
62,
23349,
2780,
33411,
366,
15592,
1,
796,
705,
15017,
11366,
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
] | [
2437,
867,
13648,
547,
925,
287,
262,
983,
1028,
2986,
11366,
30,
46506,
327,
28270,
7203,
11922,
13648,
4943,
16034,
3084,
62,
23349,
2780,
33411,
366,
15592,
1,
796,
705,
15017,
11366,
6
] |
What is the leading cause of wildfires? | SELECT stat_cause_descr FROM fires GROUP BY stat_cause_descr ORDER BY COUNT(*) DESC LIMIT 1 | [
2061,
318,
262,
3756,
2728,
286,
48298,
30,
46506,
1185,
62,
25587,
62,
20147,
81,
16034,
12252,
44441,
11050,
1185,
62,
25587,
62,
20147,
81,
38678,
11050,
327,
28270,
7,
28104,
22196,
34,
27564,
2043,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
3756,
2728,
286,
48298,
30,
46506,
1185,
62,
25587,
62,
20147,
81,
16034,
12252,
44441,
11050,
1185,
62,
25587,
62,
20147,
81,
38678,
11050,
327,
28270,
7,
28104,
22196,
34,
27564,
2043,
352
] |
What type of Bridge is in Stanley? | SELECT "Type" FROM table_45895 WHERE "Location" = 'stanley' | [
2061,
2099,
286,
10290,
318,
287,
14167,
30,
46506,
366,
6030,
1,
16034,
3084,
62,
29334,
3865,
33411,
366,
14749,
1,
796,
705,
14192,
1636,
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
] | [
2061,
2099,
286,
10290,
318,
287,
14167,
30,
46506,
366,
6030,
1,
16034,
3084,
62,
29334,
3865,
33411,
366,
14749,
1,
796,
705,
14192,
1636,
6
] |
Name the average Bronze when silver is more than 3, gold is more than 1 and the total is 14 | SELECT AVG("Bronze") FROM table_34278 WHERE "Gold" > '1' AND "Total" = '14' AND "Silver" > '3' | [
5376,
262,
2811,
19461,
618,
8465,
318,
517,
621,
513,
11,
3869,
318,
517,
621,
352,
290,
262,
2472,
318,
1478,
46506,
35224,
7203,
18760,
2736,
4943,
16034,
3084,
62,
2682,
25870,
33411,
366,
13306,
1,
1875,
705,
16,
6,
5357,
366,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
2811,
19461,
618,
8465,
318,
517,
621,
513,
11,
3869,
318,
517,
621,
352,
290,
262,
2472,
318,
1478,
46506,
35224,
7203,
18760,
2736,
4943,
16034,
3084,
62,
2682,
25870,
33411,
366,
13306,
1,
1875,
705,
16,
6,
5357,
366,
... |
What is the affiliation of a location called Issaquah? | SELECT "Affiliation" FROM table_75459 WHERE "Location" = 'issaquah' | [
2061,
318,
262,
26218,
286,
257,
4067,
1444,
10585,
36129,
993,
30,
46506,
366,
35191,
15547,
1,
16034,
3084,
62,
2425,
33459,
33411,
366,
14749,
1,
796,
705,
13808,
421,
993,
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,
26218,
286,
257,
4067,
1444,
10585,
36129,
993,
30,
46506,
366,
35191,
15547,
1,
16034,
3084,
62,
2425,
33459,
33411,
366,
14749,
1,
796,
705,
13808,
421,
993,
6
] |
has patient 006-167444 received a nicotine patch procedure in the other hospitals in 2105? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '006-167444' AND patient.hospitalid <> (SELECT DISTINCT patient.hospitalid FROM patient WHERE patient.uniquepid = '006-167444' AND patient.hospitaldischargetime IS NULL)) AND ... | [
10134,
5827,
3571,
21,
12,
21940,
30272,
2722,
257,
21856,
8529,
8771,
287,
262,
584,
11301,
287,
362,
13348,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
3513,
33411,
3513,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10134,
5827,
3571,
21,
12,
21940,
30272,
2722,
257,
21856,
8529,
8771,
287,
262,
584,
11301,
287,
362,
13348,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
3513,
33411,
3513,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13... |
What was the score on 6 February 2008? | SELECT score FROM table_name_35 WHERE date = "6 february 2008" | [
2061,
373,
262,
4776,
319,
718,
3945,
3648,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2327,
33411,
3128,
796,
366,
21,
730,
65,
3728,
3648,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
4776,
319,
718,
3945,
3648,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2327,
33411,
3128,
796,
366,
21,
730,
65,
3728,
3648,
1
] |
What opponent has a record of 86-62? | SELECT opponent FROM table_name_73 WHERE record = "86-62" | [
2061,
6125,
468,
257,
1700,
286,
9849,
12,
5237,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
4790,
33411,
1700,
796,
366,
4521,
12,
5237,
1
] | [
1,
1,
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,
6125,
468,
257,
1700,
286,
9849,
12,
5237,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
4790,
33411,
1700,
796,
366,
4521,
12,
5237,
1
] |
What is 2004, when 2003 is '1R', and when 2006 is 'A'? | SELECT "2004" FROM table_48505 WHERE "2003" = '1r' AND "2006" = 'a' | [
2061,
318,
5472,
11,
618,
5816,
318,
705,
16,
49,
3256,
290,
618,
4793,
318,
705,
32,
30960,
46506,
366,
15724,
1,
16034,
3084,
62,
2780,
31654,
33411,
366,
16088,
1,
796,
705,
16,
81,
6,
5357,
366,
13330,
1,
796,
705,
64,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
5472,
11,
618,
5816,
318,
705,
16,
49,
3256,
290,
618,
4793,
318,
705,
32,
30960,
46506,
366,
15724,
1,
16034,
3084,
62,
2780,
31654,
33411,
366,
16088,
1,
796,
705,
16,
81,
6,
5357,
366,
13330,
1,
796,
705,
64,
6
] |
mention the days of hospital stay and discharge location of patient id 17787. | SELECT demographic.days_stay, demographic.discharge_location FROM demographic WHERE demographic.subject_id = "17787" | [
434,
295,
262,
1528,
286,
4436,
2652,
290,
17655,
4067,
286,
5827,
4686,
1596,
41019,
13,
46506,
16728,
13,
12545,
62,
31712,
11,
16728,
13,
6381,
10136,
62,
24886,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
1558,
41019,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
434,
295,
262,
1528,
286,
4436,
2652,
290,
17655,
4067,
286,
5827,
4686,
1596,
41019,
13,
46506,
16728,
13,
12545,
62,
31712,
11,
16728,
13,
6381,
10136,
62,
24886,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
1558,
41019,
... |
Which player was transferred to Reggina? | SELECT "Player" FROM table_49989 WHERE "To club" = 'reggina' | [
13828,
2137,
373,
11172,
284,
797,
1130,
1437,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
28324,
4531,
33411,
366,
2514,
3430,
1,
796,
705,
260,
1130,
1437,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
2137,
373,
11172,
284,
797,
1130,
1437,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
28324,
4531,
33411,
366,
2514,
3430,
1,
796,
705,
260,
1130,
1437,
6
] |
show me the flights before 800 on 8 2 from BOSTON to DENVER on DL | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((date_day.day_number = 2 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time... | [
12860,
502,
262,
13956,
878,
10460,
319,
807,
362,
422,
347,
10892,
1340,
284,
37692,
5959,
319,
23641,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12860,
502,
262,
13956,
878,
10460,
319,
807,
362,
422,
347,
10892,
1340,
284,
37692,
5959,
319,
23641,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
... |
For those employees who did not have any job in the past, return a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, and order by the X in asc. | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2160,
286,
5011,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
1502,
416,
262,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2160,
286,
5011,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
1502,
416,
262,... |
give me the number of patients whose age is less than 27 and diagnoses long title is tietze's disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "27" AND diagnoses.long_title = "Tietze's disease" | [
26535,
502,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
2681,
290,
40567,
890,
3670,
318,
256,
1155,
2736,
338,
4369,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
26535,
502,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
2681,
290,
40567,
890,
3670,
318,
256,
1155,
2736,
338,
4369,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357... |
What's the total Lost with Games that's less than 4? | SELECT SUM(lost) FROM table_name_23 WHERE games < 4 | [
2061,
338,
262,
2472,
9164,
351,
5776,
326,
338,
1342,
621,
604,
30,
46506,
35683,
7,
33224,
8,
16034,
3084,
62,
3672,
62,
1954,
33411,
1830,
1279,
604
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
338,
262,
2472,
9164,
351,
5776,
326,
338,
1342,
621,
604,
30,
46506,
35683,
7,
33224,
8,
16034,
3084,
62,
3672,
62,
1954,
33411,
1830,
1279,
604
] |
find the name of all departments that do actually have one or more employees assigned to them. | SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | [
19796,
262,
1438,
286,
477,
13346,
326,
466,
1682,
423,
530,
393,
517,
4409,
8686,
284,
606,
13,
46506,
360,
8808,
1268,
4177,
309,
17,
13,
10378,
1823,
62,
3672,
16034,
4409,
7054,
309,
16,
32357,
1268,
13346,
7054,
309,
17,
6177,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
1438,
286,
477,
13346,
326,
466,
1682,
423,
530,
393,
517,
4409,
8686,
284,
606,
13,
46506,
360,
8808,
1268,
4177,
309,
17,
13,
10378,
1823,
62,
3672,
16034,
4409,
7054,
309,
16,
32357,
1268,
13346,
7054,
309,
17,
6177,
... |
what is patient 22648's minimum value of urea nitrogen, urine in this month? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22648) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'urea nitrogen, urine') AND DATETIME(labevents.charttime, 'start of month') ... | [
10919,
318,
5827,
31510,
2780,
338,
5288,
1988,
286,
334,
21468,
23417,
11,
18922,
287,
428,
1227,
30,
46506,
20625,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5827,
31510,
2780,
338,
5288,
1988,
286,
334,
21468,
23417,
11,
18922,
287,
428,
1227,
30,
46506,
20625,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
4... |
Find the name of customer who has the lowest credit score. | SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1 | [
16742,
262,
1438,
286,
6491,
508,
468,
262,
9016,
3884,
4776,
13,
46506,
9378,
62,
3672,
16034,
6491,
38678,
11050,
3884,
62,
26675,
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
] | [
16742,
262,
1438,
286,
6491,
508,
468,
262,
9016,
3884,
4776,
13,
46506,
9378,
62,
3672,
16034,
6491,
38678,
11050,
3884,
62,
26675,
27564,
2043,
352
] |
Can you tell me the sum of Grid that has the Manufacturer of aprilia, and the sandro cortese? | SELECT SUM(grid) FROM table_name_96 WHERE manufacturer = "aprilia" AND rider = "sandro cortese" | [
6090,
345,
1560,
502,
262,
2160,
286,
24846,
326,
468,
262,
40218,
286,
46593,
17517,
11,
290,
262,
6450,
305,
12794,
2771,
30,
46506,
35683,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
4846,
33411,
11554,
796,
366,
499,
81,
17517,
1,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
6090,
345,
1560,
502,
262,
2160,
286,
24846,
326,
468,
262,
40218,
286,
46593,
17517,
11,
290,
262,
6450,
305,
12794,
2771,
30,
46506,
35683,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
4846,
33411,
11554,
796,
366,
499,
81,
17517,
1,
5... |
What is the score of the game with the chicago black hawks as the visitor and a 3-1 record? | SELECT "Score" FROM table_59586 WHERE "Visitor" = 'chicago black hawks' AND "Record" = '3-1' | [
2061,
318,
262,
4776,
286,
262,
983,
351,
262,
442,
4549,
2042,
23185,
591,
355,
262,
21493,
290,
257,
513,
12,
16,
1700,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3270,
29796,
33411,
366,
15854,
2072,
1,
796,
705,
354,
4549,
2042,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4776,
286,
262,
983,
351,
262,
442,
4549,
2042,
23185,
591,
355,
262,
21493,
290,
257,
513,
12,
16,
1700,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3270,
29796,
33411,
366,
15854,
2072,
1,
796,
705,
354,
4549,
2042,... |
what is the number of patients on tp route of drug administration who are diagnosed with acute on chronic combined systolic and diastolic heart failure? | 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 = "Ac/chr syst/dia hrt fail" AND prescriptions.route = "TP" | [
10919,
318,
262,
1271,
286,
3871,
319,
256,
79,
6339,
286,
2563,
3662,
508,
389,
14641,
351,
14352,
319,
10726,
5929,
827,
301,
4160,
290,
2566,
459,
4160,
2612,
5287,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
319,
256,
79,
6339,
286,
2563,
3662,
508,
389,
14641,
351,
14352,
319,
10726,
5929,
827,
301,
4160,
290,
2566,
459,
4160,
2612,
5287,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
... |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the sum of employee_id over the hire_date bin hire_date by time by a bar chart, and could you sort from low to high by the y axis? | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(EMPLOYEE_ID) | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
262,
2160,
286,
6538,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
416,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
262,
2160,
286,
6538,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
416,
... |
What are the classes that Dr. Jonathan Marwil taught in the past ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = cour... | [
2061,
389,
262,
6097,
326,
1583,
13,
11232,
1526,
86,
346,
7817,
287,
262,
1613,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6097,
326,
1583,
13,
11232,
1526,
86,
346,
7817,
287,
262,
1613,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
1... |
What is footscray's away team score? | SELECT away_team AS score FROM table_name_66 WHERE home_team = "footscray" | [
2061,
318,
2366,
1416,
2433,
338,
1497,
1074,
4776,
30,
46506,
1497,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
2791,
33411,
1363,
62,
15097,
796,
366,
5898,
1416,
2433,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
2366,
1416,
2433,
338,
1497,
1074,
4776,
30,
46506,
1497,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
2791,
33411,
1363,
62,
15097,
796,
366,
5898,
1416,
2433,
1
] |
Show me about the correlation between Body_Builder_ID and Total in a scatter chart. | SELECT Body_Builder_ID, Total FROM body_builder | [
15307,
502,
546,
262,
16096,
1022,
12290,
62,
32875,
62,
2389,
290,
7472,
287,
257,
41058,
8262,
13,
46506,
12290,
62,
32875,
62,
2389,
11,
7472,
16034,
1767,
62,
38272
] | [
1,
1,
1,
1,
1,
1,
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,
546,
262,
16096,
1022,
12290,
62,
32875,
62,
2389,
290,
7472,
287,
257,
41058,
8262,
13,
46506,
12290,
62,
32875,
62,
2389,
11,
7472,
16034,
1767,
62,
38272
] |
what is the cost for the hospital stay of patient 005-69150 during the first hospital visit? | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-69150' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) | [
10919,
318,
262,
1575,
329,
262,
4436,
2652,
286,
5827,
3571,
20,
12,
3388,
8628,
1141,
262,
717,
4436,
3187,
30,
46506,
35683,
7,
15805,
13,
15805,
8,
16034,
1575,
33411,
1575,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1575,
329,
262,
4436,
2652,
286,
5827,
3571,
20,
12,
3388,
8628,
1141,
262,
717,
4436,
3187,
30,
46506,
35683,
7,
15805,
13,
15805,
8,
16034,
1575,
33411,
1575,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5... |
Who was the constructor of the car that Jan Lammers made 7-14 rounds in? | SELECT "Constructor" FROM table_52992 WHERE "Driver" = 'jan lammers' AND "Rounds" = '7-14' | [
8241,
373,
262,
23772,
286,
262,
1097,
326,
2365,
406,
36846,
925,
767,
12,
1415,
9196,
287,
30,
46506,
366,
42316,
273,
1,
16034,
3084,
62,
49721,
5892,
33411,
366,
32103,
1,
796,
705,
13881,
300,
36846,
6,
5357,
366,
49,
3733,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23772,
286,
262,
1097,
326,
2365,
406,
36846,
925,
767,
12,
1415,
9196,
287,
30,
46506,
366,
42316,
273,
1,
16034,
3084,
62,
49721,
5892,
33411,
366,
32103,
1,
796,
705,
13881,
300,
36846,
6,
5357,
366,
49,
3733,
1,
... |
tell me the top four most common diagnoses for the patients in the 30s until 1 year ago? | SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 30 AND 39) AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-1 yea... | [
33331,
502,
262,
1353,
1440,
749,
2219,
40567,
329,
262,
3871,
287,
262,
1542,
82,
1566,
352,
614,
2084,
30,
46506,
256,
16,
13,
47356,
5958,
3672,
16034,
357,
46506,
13669,
13,
47356,
5958,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1440,
749,
2219,
40567,
329,
262,
3871,
287,
262,
1542,
82,
1566,
352,
614,
2084,
30,
46506,
256,
16,
13,
47356,
5958,
3672,
16034,
357,
46506,
13669,
13,
47356,
5958,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
... |
When was the game played in Zagreb? | SELECT "Date" FROM table_4997 WHERE "City" = 'zagreb' | [
2215,
373,
262,
983,
2826,
287,
1168,
363,
34806,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
28324,
22,
33411,
366,
14941,
1,
796,
705,
50183,
34806,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
373,
262,
983,
2826,
287,
1168,
363,
34806,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
28324,
22,
33411,
366,
14941,
1,
796,
705,
50183,
34806,
6
] |
how many nations have at least 20 gold medals ? | SELECT COUNT("nation") FROM table_203_612 WHERE "gold" >= 20 | [
4919,
867,
7027,
423,
379,
1551,
1160,
3869,
28057,
5633,
46506,
327,
28270,
7203,
25729,
4943,
16034,
3084,
62,
22416,
62,
43610,
33411,
366,
24267,
1,
18189,
1160
] | [
1,
1,
1,
1,
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,
7027,
423,
379,
1551,
1160,
3869,
28057,
5633,
46506,
327,
28270,
7203,
25729,
4943,
16034,
3084,
62,
22416,
62,
43610,
33411,
366,
24267,
1,
18189,
1160
] |
Calculate the number of patients less than 82 years with a bactss drug code. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "82" AND prescriptions.formulary_drug_cd = "BACTSS" | [
9771,
3129,
378,
262,
1271,
286,
3871,
1342,
621,
9415,
812,
351,
257,
275,
529,
824,
2563,
2438,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9771,
3129,
378,
262,
1271,
286,
3871,
1342,
621,
9415,
812,
351,
257,
275,
529,
824,
2563,
2438,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728... |
Show all majors. | SELECT DISTINCT major FROM student | [
15307,
477,
26353,
13,
46506,
360,
8808,
1268,
4177,
1688,
16034,
3710
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
477,
26353,
13,
46506,
360,
8808,
1268,
4177,
1688,
16034,
3710
] |
How many female people are older than 30 in our record? | SELECT COUNT(*) FROM people WHERE is_male = 'F' AND age > 30 | [
2437,
867,
4048,
661,
389,
4697,
621,
1542,
287,
674,
1700,
30,
46506,
327,
28270,
7,
28104,
16034,
661,
33411,
318,
62,
22606,
796,
705,
37,
6,
5357,
2479,
1875,
1542
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
4048,
661,
389,
4697,
621,
1542,
287,
674,
1700,
30,
46506,
327,
28270,
7,
28104,
16034,
661,
33411,
318,
62,
22606,
796,
705,
37,
6,
5357,
2479,
1875,
1542
] |
What is the number of games for Shaun Stonerook? | SELECT MIN(games) FROM table_name_86 WHERE name = "shaun stonerook" | [
2061,
318,
262,
1271,
286,
1830,
329,
35188,
520,
14491,
566,
30,
46506,
20625,
7,
19966,
8,
16034,
3084,
62,
3672,
62,
4521,
33411,
1438,
796,
366,
1477,
1942,
336,
14491,
566,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1271,
286,
1830,
329,
35188,
520,
14491,
566,
30,
46506,
20625,
7,
19966,
8,
16034,
3084,
62,
3672,
62,
4521,
33411,
1438,
796,
366,
1477,
1942,
336,
14491,
566,
1
] |
Name the position for 23.7 avg start | SELECT COUNT(position) FROM table_2181798_1 WHERE avg_start = "23.7" | [
5376,
262,
2292,
329,
2242,
13,
22,
42781,
923,
46506,
327,
28270,
7,
9150,
8,
16034,
3084,
62,
28727,
1558,
4089,
62,
16,
33411,
42781,
62,
9688,
796,
366,
1954,
13,
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
] | [
5376,
262,
2292,
329,
2242,
13,
22,
42781,
923,
46506,
327,
28270,
7,
9150,
8,
16034,
3084,
62,
28727,
1558,
4089,
62,
16,
33411,
42781,
62,
9688,
796,
366,
1954,
13,
22,
1
] |
What is Team, when High Points is 'Tracy McGrady (24)'? | SELECT team FROM table_name_49 WHERE high_points = "tracy mcgrady (24)" | [
2061,
318,
4816,
11,
618,
3334,
11045,
318,
705,
2898,
1590,
41114,
4597,
357,
1731,
8,
30960,
46506,
1074,
16034,
3084,
62,
3672,
62,
2920,
33411,
1029,
62,
13033,
796,
366,
2213,
1590,
36650,
2164,
4597,
357,
1731,
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
] | [
2061,
318,
4816,
11,
618,
3334,
11045,
318,
705,
2898,
1590,
41114,
4597,
357,
1731,
8,
30960,
46506,
1074,
16034,
3084,
62,
3672,
62,
2920,
33411,
1029,
62,
13033,
796,
366,
2213,
1590,
36650,
2164,
4597,
357,
1731,
16725
] |
Which Overall has a Round larger than 7, a Pick larger than 13, and a Name of tony hall? | SELECT AVG(overall) FROM table_name_88 WHERE round > 7 AND pick > 13 AND name = "tony hall" | [
13828,
14674,
468,
257,
10485,
4025,
621,
767,
11,
257,
12346,
4025,
621,
1511,
11,
290,
257,
6530,
286,
256,
1647,
6899,
30,
46506,
35224,
7,
2502,
439,
8,
16034,
3084,
62,
3672,
62,
3459,
33411,
2835,
1875,
767,
5357,
2298,
1875,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14674,
468,
257,
10485,
4025,
621,
767,
11,
257,
12346,
4025,
621,
1511,
11,
290,
257,
6530,
286,
256,
1647,
6899,
30,
46506,
35224,
7,
2502,
439,
8,
16034,
3084,
62,
3672,
62,
3459,
33411,
2835,
1875,
767,
5357,
2298,
1875,
... |
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday, list the average of employee id in descending order. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(EMPLOYEE_ID) DESC | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
38350,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2811,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
11,
1351,
262,
2811,
286,
6538,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
38350,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2811,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
11,
1351,
262,
2811,
286,
6538,... |
What score did the year 1948 have? | SELECT score FROM table_name_21 WHERE year = "1948" | [
2061,
4776,
750,
262,
614,
21794,
423,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2481,
33411,
614,
796,
366,
1129,
2780,
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,
4776,
750,
262,
614,
21794,
423,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2481,
33411,
614,
796,
366,
1129,
2780,
1
] |
What venue had south melbourne as the home team? | SELECT "Venue" FROM table_32254 WHERE "Home team" = 'south melbourne' | [
2061,
14359,
550,
5366,
7758,
12544,
355,
262,
1363,
1074,
30,
46506,
366,
37522,
518,
1,
16034,
3084,
62,
2624,
24970,
33411,
366,
16060,
1074,
1,
796,
705,
35782,
7758,
12544,
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,
14359,
550,
5366,
7758,
12544,
355,
262,
1363,
1074,
30,
46506,
366,
37522,
518,
1,
16034,
3084,
62,
2624,
24970,
33411,
366,
16060,
1074,
1,
796,
705,
35782,
7758,
12544,
6
] |
how many times is the nation listed as united states with the total more than 1? | SELECT COUNT(silver) FROM table_name_44 WHERE nation = "united states" AND total > 1 | [
4919,
867,
1661,
318,
262,
3277,
5610,
355,
16503,
2585,
351,
262,
2472,
517,
621,
352,
30,
46506,
327,
28270,
7,
40503,
8,
16034,
3084,
62,
3672,
62,
2598,
33411,
3277,
796,
366,
41187,
2585,
1,
5357,
2472,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
1661,
318,
262,
3277,
5610,
355,
16503,
2585,
351,
262,
2472,
517,
621,
352,
30,
46506,
327,
28270,
7,
40503,
8,
16034,
3084,
62,
3672,
62,
2598,
33411,
3277,
796,
366,
41187,
2585,
1,
5357,
2472,
1875,
352
] |
What is the population density of bandung regency? | SELECT "Population density (/km\u00b2 2010)" FROM table_73333 WHERE "Administrative division" = 'Bandung Regency' | [
2061,
318,
262,
3265,
12109,
286,
4097,
2150,
842,
1387,
30,
46506,
366,
45251,
12109,
50247,
13276,
59,
84,
405,
65,
17,
3050,
16725,
16034,
3084,
62,
22,
24840,
33411,
366,
41862,
13260,
7297,
1,
796,
705,
31407,
2150,
3310,
1387,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
3265,
12109,
286,
4097,
2150,
842,
1387,
30,
46506,
366,
45251,
12109,
50247,
13276,
59,
84,
405,
65,
17,
3050,
16725,
16034,
3084,
62,
22,
24840,
33411,
366,
41862,
13260,
7297,
1,
796,
705,
31407,
2150,
3310,
1387,
6... |
What year was best costume design the award category? | SELECT "Year" FROM table_41383 WHERE "Category" = 'best costume design' | [
2061,
614,
373,
1266,
16569,
1486,
262,
5764,
6536,
30,
46506,
366,
17688,
1,
16034,
3084,
62,
44103,
5999,
33411,
366,
27313,
1,
796,
705,
13466,
16569,
1486,
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,
614,
373,
1266,
16569,
1486,
262,
5764,
6536,
30,
46506,
366,
17688,
1,
16034,
3084,
62,
44103,
5999,
33411,
366,
27313,
1,
796,
705,
13466,
16569,
1486,
6
] |
What is the Jump 2 of the person that has a Jump 1 of 7.14 | SELECT jump_2 FROM table_name_58 WHERE jump_1 = "7.14" | [
2061,
318,
262,
15903,
362,
286,
262,
1048,
326,
468,
257,
15903,
352,
286,
767,
13,
1415,
46506,
4391,
62,
17,
16034,
3084,
62,
3672,
62,
3365,
33411,
4391,
62,
16,
796,
366,
22,
13,
1415,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15903,
362,
286,
262,
1048,
326,
468,
257,
15903,
352,
286,
767,
13,
1415,
46506,
4391,
62,
17,
16034,
3084,
62,
3672,
62,
3365,
33411,
4391,
62,
16,
796,
366,
22,
13,
1415,
1
] |
What is the position of the player from round 2 from Sweden? | SELECT position FROM table_name_21 WHERE round = 2 AND nationality = "sweden" | [
2061,
318,
262,
2292,
286,
262,
2137,
422,
2835,
362,
422,
10710,
30,
46506,
2292,
16034,
3084,
62,
3672,
62,
2481,
33411,
2835,
796,
362,
5357,
29835,
796,
366,
2032,
31829,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
2292,
286,
262,
2137,
422,
2835,
362,
422,
10710,
30,
46506,
2292,
16034,
3084,
62,
3672,
62,
2481,
33411,
2835,
796,
362,
5357,
29835,
796,
366,
2032,
31829,
1
] |
could you please tell me the first flight leaving BALTIMORE to SAN FRANCISCO on a 747 on 8 27 | SELECT DISTINCT flight.flight_id FROM aircraft, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, equipment_sequence, flight WHERE (((aircraft.basic_type = '747' AND date_day.day_number = 27 AND date_day.month_number = 8 AND date_day.year = 1991 ... | [
24089,
345,
3387,
1560,
502,
262,
717,
5474,
4305,
347,
31429,
3955,
6965,
284,
37376,
8782,
20940,
1797,
8220,
319,
257,
45600,
319,
807,
2681,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
6215,
11,
9003,
62,
15271,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
24089,
345,
3387,
1560,
502,
262,
717,
5474,
4305,
347,
31429,
3955,
6965,
284,
37376,
8782,
20940,
1797,
8220,
319,
257,
45600,
319,
807,
2681,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
6215,
11,
9003,
62,
15271,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.