instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
sequence | attention_mask
sequence | labels
sequence |
---|---|---|---|---|
how many patients have received a ins drug-elut coronry st procedure two times during the last year? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'ins drug-elut coronry st') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 = 2 | [
4919,
867,
3871,
423,
2722,
257,
1035,
2563,
12,
417,
315,
26920,
563,
336,
8771,
734,
1661,
1141,
262,
938,
614,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
327,
28270,
7,
28104,
7054,
269,
16,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
3871,
423,
2722,
257,
1035,
2563,
12,
417,
315,
26920,
563,
336,
8771,
734,
1661,
1141,
262,
938,
614,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
327,
28270,
7,
28104,
7054,
269,
16,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942
] |
Who won mens singles the year sveinn logi s lvason tryggvi nilsen won mens doubles and elsa nielsen won womens singles | SELECT mens_singles FROM table_14903999_1 WHERE mens_doubles = "Sveinn Logi Sölvason Tryggvi Nilsen" AND womens_singles = "Elsa Nielsen" | [
8241,
1839,
285,
641,
25287,
262,
614,
264,
303,
3732,
2604,
72,
264,
300,
85,
888,
1949,
1130,
8903,
299,
4487,
268,
1839,
285,
641,
21938,
290,
1288,
11400,
37628,
25328,
1839,
1116,
641,
25287,
46506,
285,
641,
62,
12215,
829,
16034,
3084,
62,
19442,
3070,
17032,
62,
16,
33411,
285,
641,
62,
67,
280,
7689,
796,
366,
50,
303,
3732,
5972,
72,
311,
9101,
6780,
888,
9993,
1130,
8903,
399,
4487,
268,
1,
5357,
1116,
641,
62,
12215,
829,
796,
366,
49050,
31154,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
1839,
285,
641,
25287,
262,
614,
264,
303,
3732,
2604,
72,
264,
300,
85,
888,
1949,
1130,
8903,
299,
4487,
268,
1839,
285,
641,
21938,
290,
1288,
11400,
37628,
25328,
1839,
1116,
641,
25287,
46506,
285,
641,
62,
12215,
829,
16034,
3084,
62,
19442,
3070,
17032,
62,
16,
33411,
285,
641,
62,
67,
280,
7689,
796,
366,
50,
303,
3732,
5972,
72,
311,
9101,
6780,
888,
9993,
1130,
8903,
399,
4487,
268,
1,
5357,
1116,
641,
62,
12215,
829,
796,
366,
49050,
31154,
1
] |
What was the lowest amount of people to turn out at a game with the away team as collingwood? | SELECT MIN("Crowd") FROM table_10378 WHERE "Away team" = 'collingwood' | [
2061,
373,
262,
9016,
2033,
286,
661,
284,
1210,
503,
379,
257,
983,
351,
262,
1497,
1074,
355,
2927,
278,
3822,
30,
46506,
20625,
7203,
34,
3986,
4943,
16034,
3084,
62,
940,
30695,
33411,
366,
32,
1014,
1074,
1,
796,
705,
26000,
278,
3822,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
9016,
2033,
286,
661,
284,
1210,
503,
379,
257,
983,
351,
262,
1497,
1074,
355,
2927,
278,
3822,
30,
46506,
20625,
7203,
34,
3986,
4943,
16034,
3084,
62,
940,
30695,
33411,
366,
32,
1014,
1074,
1,
796,
705,
26000,
278,
3822,
6
] |
Count answers with score 0 and at least one thanks comment by a low-rep user. | SELECT p.Score AS "score", COUNT(*) AS num, MAX(c.Id) AS "comment_link" FROM Comments AS c INNER JOIN Users AS u ON c.UserId = u.Id INNER JOIN Posts AS p ON c.PostId = p.Id WHERE u.Reputation <= '##maxrep:int?10##' AND p.PostTypeId = 2 AND Text COLLATE SQL_Latin1_General_CP1_CI_AS LIKE '%thankx%' AND p.Score <= 0 GROUP BY p.Score ORDER BY 'score' DESC LIMIT 10 | [
12332,
7429,
351,
4776,
657,
290,
379,
1551,
530,
5176,
2912,
416,
257,
1877,
12,
7856,
2836,
13,
46506,
279,
13,
26595,
7054,
366,
26675,
1600,
327,
28270,
7,
28104,
7054,
997,
11,
25882,
7,
66,
13,
7390,
8,
7054,
366,
23893,
62,
8726,
1,
16034,
19502,
7054,
269,
3268,
21479,
32357,
1268,
18987,
7054,
334,
6177,
269,
13,
12982,
7390,
796,
334,
13,
7390,
3268,
21479,
32357,
1268,
12043,
7054,
279,
6177,
269,
13,
6307,
7390,
796,
279,
13,
7390,
33411,
334,
13,
6207,
7094,
19841,
705,
2235,
9806,
7856,
25,
600,
30,
940,
2235,
6,
5357,
279,
13
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
12332,
7429,
351,
4776,
657,
290,
379,
1551,
530,
5176,
2912,
416,
257,
1877,
12,
7856,
2836,
13,
46506,
279,
13,
26595,
7054,
366,
26675,
1600,
327,
28270,
7,
28104,
7054,
997,
11,
25882,
7,
66,
13,
7390,
8,
7054,
366,
23893,
62,
8726,
1,
16034,
19502,
7054,
269,
3268,
21479,
32357,
1268,
18987,
7054,
334,
6177,
269,
13,
12982,
7390,
796,
334,
13,
7390,
3268,
21479,
32357,
1268,
12043,
7054,
279,
6177,
269,
13,
6307,
7390,
796,
279,
13,
7390,
33411,
334,
13,
6207,
7094,
19841,
705,
2235,
9806,
7856,
25,
600,
30,
940,
2235,
6,
5357,
279,
13
] |
Name the attendance for atlanta braves opponent for september 9 | SELECT AVG("Attendance") FROM table_14621 WHERE "Opponent" = 'atlanta braves' AND "Date" = 'september 9' | [
5376,
262,
14858,
329,
379,
75,
4910,
8290,
1158,
6125,
329,
384,
457,
1491,
860,
46506,
35224,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
20964,
2481,
33411,
366,
27524,
3471,
1,
796,
705,
25864,
4910,
8290,
1158,
6,
5357,
366,
10430,
1,
796,
705,
325,
457,
1491,
860,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
14858,
329,
379,
75,
4910,
8290,
1158,
6125,
329,
384,
457,
1491,
860,
46506,
35224,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
20964,
2481,
33411,
366,
27524,
3471,
1,
796,
705,
25864,
4910,
8290,
1158,
6,
5357,
366,
10430,
1,
796,
705,
325,
457,
1491,
860,
6
] |
What is the Coach with a Big Ten that is 3rd (278)? | SELECT "Coach" FROM table_75997 WHERE "Big Ten" = '3rd (278)' | [
2061,
318,
262,
16393,
351,
257,
4403,
9368,
326,
318,
513,
4372,
357,
25870,
19427,
46506,
366,
40677,
1,
16034,
3084,
62,
2425,
39647,
33411,
366,
12804,
9368,
1,
796,
705,
18,
4372,
357,
25870,
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
] | [
2061,
318,
262,
16393,
351,
257,
4403,
9368,
326,
318,
513,
4372,
357,
25870,
19427,
46506,
366,
40677,
1,
16034,
3084,
62,
2425,
39647,
33411,
366,
12804,
9368,
1,
796,
705,
18,
4372,
357,
25870,
33047
] |
How many Picks have an Overall smaller than 304, and a Position of g, and a Round smaller than 11? | SELECT COUNT("Pick") FROM table_76729 WHERE "Overall" < '304' AND "Position" = 'g' AND "Round" < '11' | [
2437,
867,
33957,
423,
281,
14674,
4833,
621,
31672,
11,
290,
257,
23158,
286,
308,
11,
290,
257,
10485,
4833,
621,
1367,
30,
46506,
327,
28270,
7203,
31686,
4943,
16034,
3084,
62,
32059,
1959,
33411,
366,
16350,
1,
1279,
705,
21288,
6,
5357,
366,
26545,
1,
796,
705,
70,
6,
5357,
366,
22685,
1,
1279,
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,
1,
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,
33957,
423,
281,
14674,
4833,
621,
31672,
11,
290,
257,
23158,
286,
308,
11,
290,
257,
10485,
4833,
621,
1367,
30,
46506,
327,
28270,
7203,
31686,
4943,
16034,
3084,
62,
32059,
1959,
33411,
366,
16350,
1,
1279,
705,
21288,
6,
5357,
366,
26545,
1,
796,
705,
70,
6,
5357,
366,
22685,
1,
1279,
705,
1157,
6
] |
Can I do AOSS 421 immediately ? | SELECT COUNT(*) > 0 FROM course, course_offering, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'AOSS' AND course.number = 421 AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | [
6090,
314,
466,
317,
18420,
49294,
3393,
5633,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
6011,
62,
259,
7249,
273,
11,
24878,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
32,
18420,
6,
5357,
1781,
13,
17618,
796,
49294,
5357,
6011,
62,
259,
7249,
273,
13,
2364,
1586,
62,
312,
796,
1781,
62,
2364,
1586,
13,
2364,
1586,
62,
312,
5357,
24878,
13,
325,
6880,
353,
796,
705,
29767,
6,
5357,
24878,
13,
325,
6880,
353,
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
] | [
6090,
314,
466,
317,
18420,
49294,
3393,
5633,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
6011,
62,
259,
7249,
273,
11,
24878,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
32,
18420,
6,
5357,
1781,
13,
17618,
796,
49294,
5357,
6011,
62,
259,
7249,
273,
13,
2364,
1586,
62,
312,
796,
1781,
62,
2364,
1586,
13,
2364,
1586,
62,
312,
5357,
24878,
13,
325,
6880,
353,
796,
705,
29767,
6,
5357,
24878,
13,
325,
6880,
353,
62,
312
] |
Which country has the status of transferred, moving to of released, and Solano as the listed name? | SELECT country FROM table_name_85 WHERE status = "transferred" AND moving_to = "released" AND name = "solano" | [
13828,
1499,
468,
262,
3722,
286,
11172,
11,
3867,
284,
286,
2716,
11,
290,
4294,
5733,
355,
262,
5610,
1438,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
5332,
33411,
3722,
796,
366,
7645,
18186,
1,
5357,
3867,
62,
1462,
796,
366,
30147,
1,
5357,
1438,
796,
366,
34453,
5733,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1499,
468,
262,
3722,
286,
11172,
11,
3867,
284,
286,
2716,
11,
290,
4294,
5733,
355,
262,
5610,
1438,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
5332,
33411,
3722,
796,
366,
7645,
18186,
1,
5357,
3867,
62,
1462,
796,
366,
30147,
1,
5357,
1438,
796,
366,
34453,
5733,
1
] |
What position did Rich Manning play? | SELECT "Position" FROM table_44001 WHERE "Player" = 'rich manning' | [
2061,
2292,
750,
3998,
15281,
711,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
2598,
8298,
33411,
366,
14140,
1,
796,
705,
7527,
582,
768,
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,
2292,
750,
3998,
15281,
711,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
2598,
8298,
33411,
366,
14140,
1,
796,
705,
7527,
582,
768,
6
] |
Find the country of the airlines whose name starts with 'Orbit', and count them by a pie chart | SELECT country, COUNT(country) FROM airlines WHERE name LIKE 'Orbit%' GROUP BY country | [
16742,
262,
1499,
286,
262,
26225,
3025,
1438,
4940,
351,
705,
5574,
2545,
3256,
290,
954,
606,
416,
257,
2508,
8262,
46506,
1499,
11,
327,
28270,
7,
19315,
8,
16034,
26225,
33411,
1438,
34178,
705,
5574,
2545,
4,
6,
44441,
11050,
1499
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1499,
286,
262,
26225,
3025,
1438,
4940,
351,
705,
5574,
2545,
3256,
290,
954,
606,
416,
257,
2508,
8262,
46506,
1499,
11,
327,
28270,
7,
19315,
8,
16034,
26225,
33411,
1438,
34178,
705,
5574,
2545,
4,
6,
44441,
11050,
1499
] |
What is the Hazmat, when the Type is Rural, and when the number of Tankers is 1? | SELECT "Hazmat" FROM table_9139 WHERE "Type" = 'rural' AND "Tankers" = '1' | [
2061,
318,
262,
17064,
6759,
11,
618,
262,
5994,
318,
36486,
11,
290,
618,
262,
1271,
286,
15447,
364,
318,
352,
30,
46506,
366,
39,
1031,
6759,
1,
16034,
3084,
62,
24,
20219,
33411,
366,
6030,
1,
796,
705,
81,
1523,
6,
5357,
366,
32978,
364,
1,
796,
705,
16,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
17064,
6759,
11,
618,
262,
5994,
318,
36486,
11,
290,
618,
262,
1271,
286,
15447,
364,
318,
352,
30,
46506,
366,
39,
1031,
6759,
1,
16034,
3084,
62,
24,
20219,
33411,
366,
6030,
1,
796,
705,
81,
1523,
6,
5357,
366,
32978,
364,
1,
796,
705,
16,
6
] |
What is the name of the away team that played Geelong? | SELECT away_team FROM table_name_37 WHERE home_team = "geelong" | [
2061,
318,
262,
1438,
286,
262,
1497,
1074,
326,
2826,
2269,
21537,
30,
46506,
1497,
62,
15097,
16034,
3084,
62,
3672,
62,
2718,
33411,
1363,
62,
15097,
796,
366,
469,
21537,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1438,
286,
262,
1497,
1074,
326,
2826,
2269,
21537,
30,
46506,
1497,
62,
15097,
16034,
3084,
62,
3672,
62,
2718,
33411,
1363,
62,
15097,
796,
366,
469,
21537,
1
] |
compared to last measured on the current intensive care unit visit is the arterial bp mean of patient 18866 less than the value second to last measured on the current intensive care unit visit? | SELECT (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 = 18866) AND icustays.outtime IS NULL) 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) < (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 = 18866) AND icustays.outtime IS NULL) 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 OFFSET 1) | [
5589,
1144,
284,
938,
8630,
319,
262,
1459,
18590,
1337,
4326,
3187,
318,
262,
30675,
498,
275,
79,
1612,
286,
5827,
27778,
2791,
1342,
621,
262,
1988,
1218,
284,
938,
8630,
319,
262,
1459,
18590,
1337,
4326,
3187,
30,
46506,
357,
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
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5589,
1144,
284,
938,
8630,
319,
262,
1459,
18590,
1337,
4326,
3187,
318,
262,
30675,
498,
275,
79,
1612,
286,
5827,
27778,
2791,
1342,
621,
262,
1988,
1218,
284,
938,
8630,
319,
262,
1459,
18590,
1337,
4326,
3187,
30,
46506,
357,
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
] |
What is id of the city that hosted events in the most recent year? | SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1 | [
2061,
318,
4686,
286,
262,
1748,
326,
12007,
2995,
287,
262,
749,
2274,
614,
30,
46506,
2583,
62,
19205,
16034,
13662,
62,
19205,
38678,
11050,
32914,
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
] | [
2061,
318,
4686,
286,
262,
1748,
326,
12007,
2995,
287,
262,
749,
2274,
614,
30,
46506,
2583,
62,
19205,
16034,
13662,
62,
19205,
38678,
11050,
32914,
22196,
34,
27564,
2043,
352
] |
Plot how many country by grouped by country as a bar graph, rank from low to high by the bars please. | SELECT Country, COUNT(Country) FROM member GROUP BY Country ORDER BY Country | [
43328,
703,
867,
1499,
416,
32824,
416,
1499,
355,
257,
2318,
4823,
11,
4279,
422,
1877,
284,
1029,
416,
262,
9210,
3387,
13,
46506,
12946,
11,
327,
28270,
7,
33921,
8,
16034,
2888,
44441,
11050,
12946,
38678,
11050,
12946
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
43328,
703,
867,
1499,
416,
32824,
416,
1499,
355,
257,
2318,
4823,
11,
4279,
422,
1877,
284,
1029,
416,
262,
9210,
3387,
13,
46506,
12946,
11,
327,
28270,
7,
33921,
8,
16034,
2888,
44441,
11050,
12946,
38678,
11050,
12946
] |
what country was the top producer of niobium in the year 2003 ? | SELECT "country" FROM table_203_59 ORDER BY "2003" DESC LIMIT 1 | [
10919,
1499,
373,
262,
1353,
9920,
286,
37628,
672,
1505,
287,
262,
614,
5816,
5633,
46506,
366,
19315,
1,
16034,
3084,
62,
22416,
62,
3270,
38678,
11050,
366,
16088,
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
] | [
10919,
1499,
373,
262,
1353,
9920,
286,
37628,
672,
1505,
287,
262,
614,
5816,
5633,
46506,
366,
19315,
1,
16034,
3084,
62,
22416,
62,
3270,
38678,
11050,
366,
16088,
1,
22196,
34,
27564,
2043,
352
] |
What is Finish, when To Par is greater than 6, and when Year(s) Won is before 1961? | SELECT "Finish" FROM table_50195 WHERE "To par" > '6' AND "Year(s) won" < '1961' | [
2061,
318,
32585,
11,
618,
1675,
2547,
318,
3744,
621,
718,
11,
290,
618,
6280,
7,
82,
8,
23306,
318,
878,
20510,
30,
46506,
366,
48658,
1,
16034,
3084,
62,
33548,
3865,
33411,
366,
2514,
1582,
1,
1875,
705,
21,
6,
5357,
366,
17688,
7,
82,
8,
1839,
1,
1279,
705,
1129,
5333,
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
] | [
2061,
318,
32585,
11,
618,
1675,
2547,
318,
3744,
621,
718,
11,
290,
618,
6280,
7,
82,
8,
23306,
318,
878,
20510,
30,
46506,
366,
48658,
1,
16034,
3084,
62,
33548,
3865,
33411,
366,
2514,
1582,
1,
1875,
705,
21,
6,
5357,
366,
17688,
7,
82,
8,
1839,
1,
1279,
705,
1129,
5333,
6
] |
What is the average price for each type of product? | SELECT product_type_code, AVG(product_price) FROM products GROUP BY product_type_code | [
2061,
318,
262,
2811,
2756,
329,
1123,
2099,
286,
1720,
30,
46506,
1720,
62,
4906,
62,
8189,
11,
35224,
7,
11167,
62,
20888,
8,
16034,
3186,
44441,
11050,
1720,
62,
4906,
62,
8189
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
2756,
329,
1123,
2099,
286,
1720,
30,
46506,
1720,
62,
4906,
62,
8189,
11,
35224,
7,
11167,
62,
20888,
8,
16034,
3186,
44441,
11050,
1720,
62,
4906,
62,
8189
] |
what is the 1406 komppa of asteroid which 1405 sibelius is 2737 kotka | SELECT "1406 Komppa" FROM table_21568 WHERE "1405 Sibelius" = '2737 Kotka' | [
10919,
318,
262,
1478,
3312,
479,
296,
44989,
286,
27460,
543,
1478,
2713,
264,
43837,
3754,
318,
2681,
2718,
479,
313,
4914,
46506,
366,
1415,
3312,
32364,
44989,
1,
16034,
3084,
62,
23349,
3104,
33411,
366,
1415,
2713,
311,
43837,
3754,
1,
796,
705,
1983,
2718,
21702,
4914,
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
] | [
10919,
318,
262,
1478,
3312,
479,
296,
44989,
286,
27460,
543,
1478,
2713,
264,
43837,
3754,
318,
2681,
2718,
479,
313,
4914,
46506,
366,
1415,
3312,
32364,
44989,
1,
16034,
3084,
62,
23349,
3104,
33411,
366,
1415,
2713,
311,
43837,
3754,
1,
796,
705,
1983,
2718,
21702,
4914,
6
] |
What year was Waynesburg University founded in Pennsylvania? | SELECT "Year founded" FROM table_42725 WHERE "State/ province" = 'pennsylvania' AND "Institution name" = 'waynesburg university' | [
2061,
614,
373,
6378,
2516,
7423,
2059,
9393,
287,
9589,
30,
46506,
366,
17688,
9393,
1,
16034,
3084,
62,
42363,
1495,
33411,
366,
9012,
14,
8473,
1,
796,
705,
79,
1697,
9270,
6,
5357,
366,
6310,
2738,
1438,
1,
796,
705,
1014,
2516,
7423,
6403,
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,
614,
373,
6378,
2516,
7423,
2059,
9393,
287,
9589,
30,
46506,
366,
17688,
9393,
1,
16034,
3084,
62,
42363,
1495,
33411,
366,
9012,
14,
8473,
1,
796,
705,
79,
1697,
9270,
6,
5357,
366,
6310,
2738,
1438,
1,
796,
705,
1014,
2516,
7423,
6403,
6
] |
Who was the away team at Junction Oval? | SELECT "Away team" FROM table_53938 WHERE "Venue" = 'junction oval' | [
8241,
373,
262,
1497,
1074,
379,
44410,
25165,
30,
46506,
366,
32,
1014,
1074,
1,
16034,
3084,
62,
20,
2670,
2548,
33411,
366,
37522,
518,
1,
796,
705,
73,
4575,
41186,
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
] | [
8241,
373,
262,
1497,
1074,
379,
44410,
25165,
30,
46506,
366,
32,
1014,
1074,
1,
16034,
3084,
62,
20,
2670,
2548,
33411,
366,
37522,
518,
1,
796,
705,
73,
4575,
41186,
6
] |
How many companies each investor has invested? Show me a pie chart. | SELECT Investor, COUNT(Investor) FROM entrepreneur GROUP BY Investor | [
2437,
867,
2706,
1123,
15811,
468,
13356,
30,
5438,
502,
257,
2508,
8262,
13,
46506,
47979,
11,
327,
28270,
7,
19070,
273,
8,
16034,
19500,
44441,
11050,
47979
] | [
1,
1,
1,
1,
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,
2706,
1123,
15811,
468,
13356,
30,
5438,
502,
257,
2508,
8262,
13,
46506,
47979,
11,
327,
28270,
7,
19070,
273,
8,
16034,
19500,
44441,
11050,
47979
] |
For a team 2 of Al-Faisaly, what was the 2nd leg? | SELECT "2nd leg" FROM table_71488 WHERE "Team 2" = 'al-faisaly' | [
1890,
257,
1074,
362,
286,
978,
12,
37,
15152,
3400,
11,
644,
373,
262,
362,
358,
1232,
30,
46506,
366,
17,
358,
1232,
1,
16034,
3084,
62,
45722,
3459,
33411,
366,
15592,
362,
1,
796,
705,
282,
12,
13331,
271,
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,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
257,
1074,
362,
286,
978,
12,
37,
15152,
3400,
11,
644,
373,
262,
362,
358,
1232,
30,
46506,
366,
17,
358,
1232,
1,
16034,
3084,
62,
45722,
3459,
33411,
366,
15592,
362,
1,
796,
705,
282,
12,
13331,
271,
3400,
6
] |
Where was the cup on 07.02.2009 held? | SELECT "Location" FROM table_2254 WHERE "Date" = '07.02.2009' | [
8496,
373,
262,
6508,
319,
8753,
13,
2999,
13,
10531,
2714,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
18182,
19,
33411,
366,
10430,
1,
796,
705,
2998,
13,
2999,
13,
10531,
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
] | [
8496,
373,
262,
6508,
319,
8753,
13,
2999,
13,
10531,
2714,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
18182,
19,
33411,
366,
10430,
1,
796,
705,
2998,
13,
2999,
13,
10531,
6
] |
Which venue has a Result of draw? | SELECT "Venue" FROM table_15456 WHERE "Result" = 'draw' | [
13828,
14359,
468,
257,
25414,
286,
3197,
30,
46506,
366,
37522,
518,
1,
16034,
3084,
62,
1314,
29228,
33411,
366,
23004,
1,
796,
705,
19334,
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
] | [
13828,
14359,
468,
257,
25414,
286,
3197,
30,
46506,
366,
37522,
518,
1,
16034,
3084,
62,
1314,
29228,
33411,
366,
23004,
1,
796,
705,
19334,
6
] |
What District has a Location of tharamani? | SELECT district FROM table_name_24 WHERE location = "tharamani" | [
2061,
5665,
468,
257,
13397,
286,
294,
41158,
3216,
30,
46506,
4783,
16034,
3084,
62,
3672,
62,
1731,
33411,
4067,
796,
366,
400,
41158,
3216,
1
] | [
1,
1,
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,
5665,
468,
257,
13397,
286,
294,
41158,
3216,
30,
46506,
4783,
16034,
3084,
62,
3672,
62,
1731,
33411,
4067,
796,
366,
400,
41158,
3216,
1
] |
When Don't Forget the Lyrics aired at 8:30 what aired at 9:00? | SELECT "9:00" FROM table_43209 WHERE "8:30" = 'don''t forget the lyrics' | [
2215,
2094,
470,
29624,
262,
406,
14279,
18530,
379,
807,
25,
1270,
644,
18530,
379,
860,
25,
405,
30,
46506,
366,
24,
25,
405,
1,
16034,
3084,
62,
3559,
22567,
33411,
366,
23,
25,
1270,
1,
796,
705,
9099,
7061,
83,
6044,
262,
15844,
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
] | [
2215,
2094,
470,
29624,
262,
406,
14279,
18530,
379,
807,
25,
1270,
644,
18530,
379,
860,
25,
405,
30,
46506,
366,
24,
25,
405,
1,
16034,
3084,
62,
3559,
22567,
33411,
366,
23,
25,
1270,
1,
796,
705,
9099,
7061,
83,
6044,
262,
15844,
6
] |
how many patients have stayed in the hospital for more than 15 days with a drug name meropenem? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "15" AND prescriptions.drug = "Meropenem" | [
4919,
867,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
1315,
1528,
351,
257,
2563,
1438,
4017,
9654,
368,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
33411,
16728,
13,
12545,
62,
31712,
1875,
366,
1314,
1,
5357,
34092,
13,
30349,
796,
366,
13102,
9654,
368,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
1315,
1528,
351,
257,
2563,
1438,
4017,
9654,
368,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
33411,
16728,
13,
12545,
62,
31712,
1875,
366,
1314,
1,
5357,
34092,
13,
30349,
796,
366,
13102,
9654,
368,
1
] |
what is the location attendance when the record is 39 7? | SELECT location_attendance FROM table_27715173_8 WHERE record = "39–7" | [
10919,
318,
262,
4067,
14858,
618,
262,
1700,
318,
5014,
767,
30,
46506,
4067,
62,
1078,
437,
590,
16034,
3084,
62,
27019,
1314,
25399,
62,
23,
33411,
1700,
796,
366,
2670,
1906,
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
] | [
10919,
318,
262,
4067,
14858,
618,
262,
1700,
318,
5014,
767,
30,
46506,
4067,
62,
1078,
437,
590,
16034,
3084,
62,
27019,
1314,
25399,
62,
23,
33411,
1700,
796,
366,
2670,
1906,
22,
1
] |
What us the number of the round during which #56 Blue Thunder Racing become the GTP winning team and #38 Mandeville Auto Tech became the GTO winning team? | SELECT "Rnd" FROM table_856 WHERE "GTP Winning Team" = '#56 Blue Thunder Racing' AND "GTO Winning Team" = '#38 Mandeville Auto Tech' | [
2061,
514,
262,
1271,
286,
262,
2835,
1141,
543,
1303,
3980,
4518,
9850,
14954,
1716,
262,
402,
7250,
5442,
1074,
290,
1303,
2548,
13314,
1990,
8270,
11160,
9634,
2627,
262,
7963,
46,
5442,
1074,
30,
46506,
366,
49,
358,
1,
16034,
3084,
62,
23,
3980,
33411,
366,
38,
7250,
40983,
4816,
1,
796,
705,
2,
3980,
4518,
9850,
14954,
6,
5357,
366,
38,
10468,
40983,
4816,
1,
796,
705,
2,
2548,
13314,
1990,
8270,
11160,
9634,
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,
514,
262,
1271,
286,
262,
2835,
1141,
543,
1303,
3980,
4518,
9850,
14954,
1716,
262,
402,
7250,
5442,
1074,
290,
1303,
2548,
13314,
1990,
8270,
11160,
9634,
2627,
262,
7963,
46,
5442,
1074,
30,
46506,
366,
49,
358,
1,
16034,
3084,
62,
23,
3980,
33411,
366,
38,
7250,
40983,
4816,
1,
796,
705,
2,
3980,
4518,
9850,
14954,
6,
5357,
366,
38,
10468,
40983,
4816,
1,
796,
705,
2,
2548,
13314,
1990,
8270,
11160,
9634,
6
] |
Find the average age of journalists working on different role type, show the result with a bar chart. | SELECT Work_Type, AVG(t1.Age) FROM journalist AS t1 JOIN news_report AS t2 ON t1.journalist_ID = t2.journalist_ID GROUP BY t2.Work_Type | [
16742,
262,
2811,
2479,
286,
9046,
1762,
319,
1180,
2597,
2099,
11,
905,
262,
1255,
351,
257,
2318,
8262,
13,
46506,
5521,
62,
6030,
11,
35224,
7,
83,
16,
13,
23396,
8,
16034,
10099,
7054,
256,
16,
32357,
1268,
1705,
62,
13116,
7054,
256,
17,
6177,
256,
16,
13,
24891,
396,
62,
2389,
796,
256,
17,
13,
24891,
396,
62,
2389,
44441,
11050,
256,
17,
13,
12468,
62,
6030
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2811,
2479,
286,
9046,
1762,
319,
1180,
2597,
2099,
11,
905,
262,
1255,
351,
257,
2318,
8262,
13,
46506,
5521,
62,
6030,
11,
35224,
7,
83,
16,
13,
23396,
8,
16034,
10099,
7054,
256,
16,
32357,
1268,
1705,
62,
13116,
7054,
256,
17,
6177,
256,
16,
13,
24891,
396,
62,
2389,
796,
256,
17,
13,
24891,
396,
62,
2389,
44441,
11050,
256,
17,
13,
12468,
62,
6030
] |
had patient 13838 had the gastric blakemore output since 111 months ago? | SELECT COUNT(*) > 0 FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13838)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'gastric blakemore' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime) >= DATETIME(CURRENT_TIME(), '-111 month') | [
18108,
5827,
21503,
2548,
550,
262,
21956,
1173,
698,
539,
3549,
5072,
1201,
13374,
1933,
2084,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
38701,
1133,
85,
658,
33411,
38701,
1133,
85,
658,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
21503,
2548,
4008,
5357,
38701,
1133,
85,
658,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23814
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
18108,
5827,
21503,
2548,
550,
262,
21956,
1173,
698,
539,
3549,
5072,
1201,
13374,
1933,
2084,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
38701,
1133,
85,
658,
33411,
38701,
1133,
85,
658,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
21503,
2548,
4008,
5357,
38701,
1133,
85,
658,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23814
] |
Which films participated in the 61st Berlin international film festival? | SELECT "Participants/Recipients" FROM table_31283 WHERE "Film Festival" = '61st Berlin International Film Festival' | [
13828,
7328,
14888,
287,
262,
8454,
301,
11307,
3230,
2646,
10876,
30,
46506,
366,
34363,
1187,
14,
6690,
541,
2334,
1,
16034,
3084,
62,
27970,
5999,
33411,
366,
39750,
11117,
1,
796,
705,
5333,
301,
11307,
4037,
13741,
11117,
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
] | [
13828,
7328,
14888,
287,
262,
8454,
301,
11307,
3230,
2646,
10876,
30,
46506,
366,
34363,
1187,
14,
6690,
541,
2334,
1,
16034,
3084,
62,
27970,
5999,
33411,
366,
39750,
11117,
1,
796,
705,
5333,
301,
11307,
4037,
13741,
11117,
6
] |
when was the last time that patient 017-45919 had a minimum respiration since 06/02/2105. | 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 = '017-45919')) AND NOT vitalperiodic.respiration IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) >= '2105-06-02' ORDER BY vitalperiodic.respiration, vitalperiodic.observationtime DESC LIMIT 1 | [
12518,
373,
262,
938,
640,
326,
5827,
5534,
22,
12,
33459,
1129,
550,
257,
5288,
1217,
15297,
1201,
9130,
14,
2999,
14,
17,
13348,
13,
46506,
9204,
41007,
291,
13,
672,
3168,
341,
2435,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
29326,
12,
33459,
1129,
6,
4008,
5357,
5626,
9204,
41007,
291,
13,
411
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
938,
640,
326,
5827,
5534,
22,
12,
33459,
1129,
550,
257,
5288,
1217,
15297,
1201,
9130,
14,
2999,
14,
17,
13348,
13,
46506,
9204,
41007,
291,
13,
672,
3168,
341,
2435,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
29326,
12,
33459,
1129,
6,
4008,
5357,
5626,
9204,
41007,
291,
13,
411
] |
what were the names of the output that patient 94229 had last since 12/07/2105? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 94229)) AND STRFTIME('%y-%m-%d', outputevents.charttime) >= '2105-12-07' ORDER BY outputevents.charttime DESC LIMIT 1) | [
10919,
547,
262,
3891,
286,
262,
5072,
326,
5827,
10048,
23539,
550,
938,
1201,
1105,
14,
2998,
14,
17,
13348,
30,
46506,
288,
62,
23814,
13,
18242,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
9186,
312,
3268,
357,
46506,
38701,
1133,
85,
658,
13,
9186,
312,
16034,
38701,
1133,
85,
658,
33411,
38701,
1133,
85,
658,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3891,
286,
262,
5072,
326,
5827,
10048,
23539,
550,
938,
1201,
1105,
14,
2998,
14,
17,
13348,
30,
46506,
288,
62,
23814,
13,
18242,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
9186,
312,
3268,
357,
46506,
38701,
1133,
85,
658,
13,
9186,
312,
16034,
38701,
1133,
85,
658,
33411,
38701,
1133,
85,
658,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349
] |
what competition was teeratep winothai in when he made his last international goal of 2008 ? | SELECT "competition" FROM table_203_14 WHERE "date" = 2008 ORDER BY "date" DESC LIMIT 1 | [
10919,
5449,
373,
573,
21620,
79,
1592,
849,
1872,
287,
618,
339,
925,
465,
938,
3230,
3061,
286,
3648,
5633,
46506,
366,
5589,
15620,
1,
16034,
3084,
62,
22416,
62,
1415,
33411,
366,
4475,
1,
796,
3648,
38678,
11050,
366,
4475,
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
] | [
10919,
5449,
373,
573,
21620,
79,
1592,
849,
1872,
287,
618,
339,
925,
465,
938,
3230,
3061,
286,
3648,
5633,
46506,
366,
5589,
15620,
1,
16034,
3084,
62,
22416,
62,
1415,
33411,
366,
4475,
1,
796,
3648,
38678,
11050,
366,
4475,
1,
22196,
34,
27564,
2043,
352
] |
Tags where users ask their first question. | SELECT Tags.TagName, COUNT(DISTINCT Posts.Id) AS first_questions, Tags.Count AS total_questions, COUNT(DISTINCT Posts.Id) * 1.0 / Tags.Count AS ratio_of_questions_that_are_first_questions FROM Posts INNER JOIN (SELECT OwnerUserId, MIN(CreationDate) AS first_post FROM Posts GROUP BY OwnerUserId) AS sq ON Posts.OwnerUserId = sq.OwnerUserId AND Posts.CreationDate = sq.first_post INNER JOIN PostTags ON PostTags.PostId = Posts.Id INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE Posts.PostTypeId = 1 GROUP BY Tags.TagName, Tags.Count ORDER BY 4 DESC | [
36142,
810,
2985,
1265,
511,
717,
1808,
13,
46506,
44789,
13,
24835,
5376,
11,
327,
28270,
7,
35,
8808,
1268,
4177,
12043,
13,
7390,
8,
7054,
717,
62,
6138,
507,
11,
44789,
13,
12332,
7054,
2472,
62,
6138,
507,
11,
327,
28270,
7,
35,
8808,
1268,
4177,
12043,
13,
7390,
8,
1635,
352,
13,
15,
1220,
44789,
13,
12332,
7054,
8064,
62,
1659,
62,
6138,
507,
62,
5562,
62,
533,
62,
11085,
62,
6138,
507,
16034,
12043,
3268,
21479,
32357,
1268,
357,
46506,
23853,
12982,
7390,
11,
20625,
7,
12443,
341,
10430,
8,
7054,
717,
62,
7353,
16034,
12043,
44441
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
36142,
810,
2985,
1265,
511,
717,
1808,
13,
46506,
44789,
13,
24835,
5376,
11,
327,
28270,
7,
35,
8808,
1268,
4177,
12043,
13,
7390,
8,
7054,
717,
62,
6138,
507,
11,
44789,
13,
12332,
7054,
2472,
62,
6138,
507,
11,
327,
28270,
7,
35,
8808,
1268,
4177,
12043,
13,
7390,
8,
1635,
352,
13,
15,
1220,
44789,
13,
12332,
7054,
8064,
62,
1659,
62,
6138,
507,
62,
5562,
62,
533,
62,
11085,
62,
6138,
507,
16034,
12043,
3268,
21479,
32357,
1268,
357,
46506,
23853,
12982,
7390,
11,
20625,
7,
12443,
341,
10430,
8,
7054,
717,
62,
7353,
16034,
12043,
44441
] |
What is the sum of the points when there are fewer than 4 games? | SELECT SUM(points) FROM table_name_87 WHERE games < 4 | [
2061,
318,
262,
2160,
286,
262,
2173,
618,
612,
389,
7380,
621,
604,
1830,
30,
46506,
35683,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
5774,
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,
1,
1
] | [
2061,
318,
262,
2160,
286,
262,
2173,
618,
612,
389,
7380,
621,
604,
1830,
30,
46506,
35683,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
5774,
33411,
1830,
1279,
604
] |
Count the amount of posts. | SELECT COUNT(*) FROM Users INNER JOIN Badges ON Users.Id = Badges.Id | [
12332,
262,
2033,
286,
6851,
13,
46506,
327,
28270,
7,
28104,
16034,
18987,
3268,
21479,
32357,
1268,
7772,
3212,
6177,
18987,
13,
7390,
796,
7772,
3212,
13,
7390
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
12332,
262,
2033,
286,
6851,
13,
46506,
327,
28270,
7,
28104,
16034,
18987,
3268,
21479,
32357,
1268,
7772,
3212,
6177,
18987,
13,
7390,
796,
7772,
3212,
13,
7390
] |
was the heartrate value of patient 022-163354 second measured on the first intensive care unit visit less than the value first measured on the first intensive care unit visit? | SELECT (SELECT vitalperiodic.heartrate FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-163354') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND NOT vitalperiodic.heartrate IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1 OFFSET 1) < (SELECT vitalperiodic.heartrate FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-163354') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND NOT vitalperiodic.heartrate IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1) | [
9776,
262,
2612,
4873,
1988,
286,
5827,
657,
1828,
12,
1433,
2091,
4051,
1218,
8630,
319,
262,
717,
18590,
1337,
4326,
3187,
1342,
621,
262,
1988,
717,
8630,
319,
262,
717,
18590,
1337,
4326,
3187,
30,
46506,
357,
46506,
9204,
41007,
291,
13,
11499,
4873,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44087,
12
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9776,
262,
2612,
4873,
1988,
286,
5827,
657,
1828,
12,
1433,
2091,
4051,
1218,
8630,
319,
262,
717,
18590,
1337,
4326,
3187,
1342,
621,
262,
1988,
717,
8630,
319,
262,
717,
18590,
1337,
4326,
3187,
30,
46506,
357,
46506,
9204,
41007,
291,
13,
11499,
4873,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44087,
12
] |
Which Record has a Location/Attendance of palace of auburn hills 8,108? | SELECT "Record" FROM table_49770 WHERE "Location/Attendance" = 'palace of auburn hills 8,108' | [
13828,
13266,
468,
257,
13397,
14,
8086,
437,
590,
286,
20562,
286,
257,
549,
700,
18639,
807,
11,
15711,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
38073,
2154,
33411,
366,
14749,
14,
8086,
437,
590,
1,
796,
705,
18596,
558,
286,
257,
549,
700,
18639,
807,
11,
15711,
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
] | [
13828,
13266,
468,
257,
13397,
14,
8086,
437,
590,
286,
20562,
286,
257,
549,
700,
18639,
807,
11,
15711,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
38073,
2154,
33411,
366,
14749,
14,
8086,
437,
590,
1,
796,
705,
18596,
558,
286,
257,
549,
700,
18639,
807,
11,
15711,
6
] |
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, draw a scatter chart about the correlation between employee_id and commission_pct . | SELECT EMPLOYEE_ID, COMMISSION_PCT FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | [
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,
3197,
257,
41058,
8262,
546,
262,
16096,
1022,
6538,
62,
312,
290,
5810,
62,
79,
310,
764,
46506,
17228,
6489,
21414,
6500,
62,
2389,
11,
22240,
40373,
62,
47,
4177,
16034,
4409,
33411,
42475,
13153,
38651,
8845,
1677,
38055,
5357,
1105,
830,
5357,
22240,
40373,
62,
47,
4177,
1279,
29,
366,
8423,
1,
6375,
5550,
30709,
10979,
62,
2389,
1279,
29,
2319
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3197,
257,
41058,
8262,
546,
262,
16096,
1022,
6538,
62,
312,
290,
5810,
62,
79,
310,
764,
46506,
17228,
6489,
21414,
6500,
62,
2389,
11,
22240,
40373,
62,
47,
4177,
16034,
4409,
33411,
42475,
13153,
38651,
8845,
1677,
38055,
5357,
1105,
830,
5357,
22240,
40373,
62,
47,
4177,
1279,
29,
366,
8423,
1,
6375,
5550,
30709,
10979,
62,
2389,
1279,
29,
2319
] |
Return a histogram on what are the names and prices of all products in the store? | SELECT Name, AVG(Price) FROM Products GROUP BY Name | [
13615,
257,
1554,
21857,
319,
644,
389,
262,
3891,
290,
4536,
286,
477,
3186,
287,
262,
3650,
30,
46506,
6530,
11,
35224,
7,
18124,
8,
16034,
18675,
44441,
11050,
6530
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13615,
257,
1554,
21857,
319,
644,
389,
262,
3891,
290,
4536,
286,
477,
3186,
287,
262,
3650,
30,
46506,
6530,
11,
35224,
7,
18124,
8,
16034,
18675,
44441,
11050,
6530
] |
How many manners of departure did peter voets have? | SELECT COUNT(manner_of_departure) FROM table_11713303_2 WHERE outgoing_manager = "Peter Voets" | [
2437,
867,
33558,
286,
12928,
750,
279,
2357,
7608,
1039,
423,
30,
46506,
327,
28270,
7,
805,
1008,
62,
1659,
62,
10378,
433,
495,
8,
16034,
3084,
62,
17657,
1485,
22572,
62,
17,
33411,
28181,
62,
37153,
796,
366,
19727,
20687,
1039,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
33558,
286,
12928,
750,
279,
2357,
7608,
1039,
423,
30,
46506,
327,
28270,
7,
805,
1008,
62,
1659,
62,
10378,
433,
495,
8,
16034,
3084,
62,
17657,
1485,
22572,
62,
17,
33411,
28181,
62,
37153,
796,
366,
19727,
20687,
1039,
1
] |
Which 2006 07 Pts has a 2005 06 Pts smaller than 51, a Team of hurac n, and a 2007 08 Pts larger than 52? | SELECT AVG("2006\u201307 Pts") FROM table_13021 WHERE "2005\u201306 Pts" < '51' AND "Team" = 'huracán' AND "2007\u201308 Pts" > '52' | [
13828,
4793,
8753,
350,
912,
468,
257,
5075,
9130,
350,
912,
4833,
621,
6885,
11,
257,
4816,
286,
6990,
330,
299,
11,
290,
257,
4343,
8487,
350,
912,
4025,
621,
6740,
30,
46506,
35224,
7203,
13330,
59,
84,
1264,
22996,
350,
912,
4943,
16034,
3084,
62,
12952,
2481,
33411,
366,
14315,
59,
84,
1264,
20548,
350,
912,
1,
1279,
705,
4349,
6,
5357,
366,
15592,
1,
796,
705,
48349,
330,
21162,
6,
5357,
366,
12726,
59,
84,
1264,
21495,
350,
912,
1,
1875,
705,
4309,
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
] | [
13828,
4793,
8753,
350,
912,
468,
257,
5075,
9130,
350,
912,
4833,
621,
6885,
11,
257,
4816,
286,
6990,
330,
299,
11,
290,
257,
4343,
8487,
350,
912,
4025,
621,
6740,
30,
46506,
35224,
7203,
13330,
59,
84,
1264,
22996,
350,
912,
4943,
16034,
3084,
62,
12952,
2481,
33411,
366,
14315,
59,
84,
1264,
20548,
350,
912,
1,
1279,
705,
4349,
6,
5357,
366,
15592,
1,
796,
705,
48349,
330,
21162,
6,
5357,
366,
12726,
59,
84,
1264,
21495,
350,
912,
1,
1875,
705,
4309,
6
] |
what are flights from BOSTON to ST. PETERSBURG | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. PETERSBURG' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | [
10919,
389,
13956,
422,
347,
10892,
1340,
284,
3563,
13,
32043,
4877,
38926,
38,
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,
5474,
33411,
27993,
62,
15,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
15,
13,
19205,
62,
8189,
5357,
27993,
62,
15,
13,
19205,
62,
3672,
796,
705,
8202,
41924,
6,
5357,
27993,
62,
16,
13
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
389,
13956,
422,
347,
10892,
1340,
284,
3563,
13,
32043,
4877,
38926,
38,
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,
5474,
33411,
27993,
62,
15,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
15,
13,
19205,
62,
8189,
5357,
27993,
62,
15,
13,
19205,
62,
3672,
796,
705,
8202,
41924,
6,
5357,
27993,
62,
16,
13
] |
What was the team's record after week 7 with 28,161 attending? | SELECT record FROM table_name_58 WHERE week > 7 AND attenmdance = "28,161" | [
2061,
373,
262,
1074,
338,
1700,
706,
1285,
767,
351,
2579,
11,
25948,
11969,
30,
46506,
1700,
16034,
3084,
62,
3672,
62,
3365,
33411,
1285,
1875,
767,
5357,
31919,
9132,
590,
796,
366,
2078,
11,
25948,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1074,
338,
1700,
706,
1285,
767,
351,
2579,
11,
25948,
11969,
30,
46506,
1700,
16034,
3084,
62,
3672,
62,
3365,
33411,
1285,
1875,
767,
5357,
31919,
9132,
590,
796,
366,
2078,
11,
25948,
1
] |
in which major competitions did yoichiro kakitani have at least 3 starts ? | SELECT "competition" FROM table_204_371 WHERE "appearances\nstart" >= 3 | [
259,
543,
1688,
24174,
750,
27406,
488,
7058,
479,
461,
270,
3216,
423,
379,
1551,
513,
4940,
5633,
46506,
366,
5589,
15620,
1,
16034,
3084,
62,
18638,
62,
38056,
33411,
366,
1324,
35630,
59,
77,
9688,
1,
18189,
513
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
259,
543,
1688,
24174,
750,
27406,
488,
7058,
479,
461,
270,
3216,
423,
379,
1551,
513,
4940,
5633,
46506,
366,
5589,
15620,
1,
16034,
3084,
62,
18638,
62,
38056,
33411,
366,
1324,
35630,
59,
77,
9688,
1,
18189,
513
] |
Attendance of 19,741 had what average week? | SELECT AVG(week) FROM table_name_80 WHERE attendance = "19,741" | [
8086,
437,
590,
286,
678,
11,
22,
3901,
550,
644,
2811,
1285,
30,
46506,
35224,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
1795,
33411,
14858,
796,
366,
1129,
11,
22,
3901,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8086,
437,
590,
286,
678,
11,
22,
3901,
550,
644,
2811,
1285,
30,
46506,
35224,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
1795,
33411,
14858,
796,
366,
1129,
11,
22,
3901,
1
] |
For those employees who did not have any job in the past, a bar chart shows the distribution of job_id and the average of employee_id , and group by attribute job_id, and could you display in asc by the X? | SELECT JOB_ID, AVG(EMPLOYEE_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,
257,
2318,
8262,
2523,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
714,
345,
3359,
287,
10570,
416,
262,
1395,
30,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
5626,
17228,
6489,
21414,
6500,
62,
2389,
3268,
357,
46506,
17228,
6489,
21414,
6500,
62,
2389,
16034,
1693,
62,
23569,
8,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
449,
9864,
62,
2389
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
714,
345,
3359,
287,
10570,
416,
262,
1395,
30,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
5626,
17228,
6489,
21414,
6500,
62,
2389,
3268,
357,
46506,
17228,
6489,
21414,
6500,
62,
2389,
16034,
1693,
62,
23569,
8,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
449,
9864,
62,
2389
] |
which team had the same amount of total points as c.d. altetico balboa ? | SELECT "team" FROM table_203_30 WHERE "points" = (SELECT "points" FROM table_203_30 WHERE "team" = 'c.d. atletico balboa') AND "team" <> 'c.d. atletico balboa' | [
4758,
1074,
550,
262,
976,
2033,
286,
2472,
2173,
355,
269,
13,
67,
13,
5988,
316,
3713,
3652,
48614,
5633,
46506,
366,
15097,
1,
16034,
3084,
62,
22416,
62,
1270,
33411,
366,
13033,
1,
796,
357,
46506,
366,
13033,
1,
16034,
3084,
62,
22416,
62,
1270,
33411,
366,
15097,
1,
796,
705,
66,
13,
67,
13,
379,
47286,
3652,
48614,
11537,
5357,
366,
15097,
1,
1279,
29,
705,
66,
13,
67,
13,
379,
47286,
3652,
48614,
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
] | [
4758,
1074,
550,
262,
976,
2033,
286,
2472,
2173,
355,
269,
13,
67,
13,
5988,
316,
3713,
3652,
48614,
5633,
46506,
366,
15097,
1,
16034,
3084,
62,
22416,
62,
1270,
33411,
366,
13033,
1,
796,
357,
46506,
366,
13033,
1,
16034,
3084,
62,
22416,
62,
1270,
33411,
366,
15097,
1,
796,
705,
66,
13,
67,
13,
379,
47286,
3652,
48614,
11537,
5357,
366,
15097,
1,
1279,
29,
705,
66,
13,
67,
13,
379,
47286,
3652,
48614,
6
] |
My most up voted comments. | SELECT Id, Score, Text, CreationDate FROM Comments WHERE UserId = @UserId ORDER BY Score DESC LIMIT 500 | [
3666,
749,
510,
7052,
3651,
13,
46506,
5121,
11,
15178,
11,
8255,
11,
21582,
10430,
16034,
19502,
33411,
11787,
7390,
796,
2488,
12982,
7390,
38678,
11050,
15178,
22196,
34,
27564,
2043,
5323
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
3666,
749,
510,
7052,
3651,
13,
46506,
5121,
11,
15178,
11,
8255,
11,
21582,
10430,
16034,
19502,
33411,
11787,
7390,
796,
2488,
12982,
7390,
38678,
11050,
15178,
22196,
34,
27564,
2043,
5323
] |
Who was the runnerup when the margin of victory was 1 stroke on jan 30, 2000? | SELECT "Runner(s)-up" FROM table_39481 WHERE "Margin of victory" = '1 stroke' AND "Date" = 'jan 30, 2000' | [
8241,
373,
262,
17490,
929,
618,
262,
10330,
286,
5373,
373,
352,
14000,
319,
42897,
1542,
11,
4751,
30,
46506,
366,
49493,
7,
82,
13219,
929,
1,
16034,
3084,
62,
2670,
40271,
33411,
366,
24428,
259,
286,
5373,
1,
796,
705,
16,
14000,
6,
5357,
366,
10430,
1,
796,
705,
13881,
1542,
11,
4751,
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
] | [
8241,
373,
262,
17490,
929,
618,
262,
10330,
286,
5373,
373,
352,
14000,
319,
42897,
1542,
11,
4751,
30,
46506,
366,
49493,
7,
82,
13219,
929,
1,
16034,
3084,
62,
2670,
40271,
33411,
366,
24428,
259,
286,
5373,
1,
796,
705,
16,
14000,
6,
5357,
366,
10430,
1,
796,
705,
13881,
1542,
11,
4751,
6
] |
What is the change in population since 1993 in the region where the % of country's population was 4.2? | SELECT COUNT("Change in population since 1993") FROM table_28628 WHERE "% of countrys population" = '4.2' | [
2061,
318,
262,
1487,
287,
3265,
1201,
9656,
287,
262,
3814,
810,
262,
4064,
286,
1499,
338,
3265,
373,
604,
13,
17,
30,
46506,
327,
28270,
7203,
19400,
287,
3265,
1201,
9656,
4943,
16034,
3084,
62,
27033,
2078,
33411,
36521,
286,
1499,
82,
3265,
1,
796,
705,
19,
13,
17,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1487,
287,
3265,
1201,
9656,
287,
262,
3814,
810,
262,
4064,
286,
1499,
338,
3265,
373,
604,
13,
17,
30,
46506,
327,
28270,
7203,
19400,
287,
3265,
1201,
9656,
4943,
16034,
3084,
62,
27033,
2078,
33411,
36521,
286,
1499,
82,
3265,
1,
796,
705,
19,
13,
17,
6
] |
Which bridge is located in Nectar, in Blount County? | SELECT "Name" FROM table_49819 WHERE "County" = 'blount' AND "Location" = 'nectar' | [
13828,
7696,
318,
5140,
287,
399,
44504,
11,
287,
1086,
608,
3418,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
36260,
1129,
33411,
366,
12332,
88,
1,
796,
705,
2436,
608,
6,
5357,
366,
14749,
1,
796,
705,
1606,
283,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
7696,
318,
5140,
287,
399,
44504,
11,
287,
1086,
608,
3418,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
36260,
1129,
33411,
366,
12332,
88,
1,
796,
705,
2436,
608,
6,
5357,
366,
14749,
1,
796,
705,
1606,
283,
6
] |
how many years after sir carne rasch 's election was john macnamara elected ? | SELECT (SELECT "election" FROM table_202_150 WHERE "member" = 'john macnamara') - (SELECT "election" FROM table_202_150 WHERE "member" = 'sir carne rasch, bt') | [
4919,
867,
812,
706,
15967,
1097,
710,
374,
292,
354,
705,
82,
3071,
373,
45610,
8352,
7402,
3301,
7018,
5633,
46506,
357,
46506,
366,
14300,
1,
16034,
3084,
62,
19004,
62,
8628,
33411,
366,
19522,
1,
796,
705,
30686,
8352,
7402,
3301,
11537,
532,
357,
46506,
366,
14300,
1,
16034,
3084,
62,
19004,
62,
8628,
33411,
366,
19522,
1,
796,
705,
82,
343,
1097,
710,
374,
292,
354,
11,
275,
83,
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,
1,
1
] | [
4919,
867,
812,
706,
15967,
1097,
710,
374,
292,
354,
705,
82,
3071,
373,
45610,
8352,
7402,
3301,
7018,
5633,
46506,
357,
46506,
366,
14300,
1,
16034,
3084,
62,
19004,
62,
8628,
33411,
366,
19522,
1,
796,
705,
30686,
8352,
7402,
3301,
11537,
532,
357,
46506,
366,
14300,
1,
16034,
3084,
62,
19004,
62,
8628,
33411,
366,
19522,
1,
796,
705,
82,
343,
1097,
710,
374,
292,
354,
11,
275,
83,
11537
] |
What courses do I need to take before course DHYGRACK 683 ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'DHYGRACK' AND COURSE_1.number = 683 | [
2061,
10902,
466,
314,
761,
284,
1011,
878,
1781,
23809,
56,
10761,
8120,
718,
5999,
5633,
46506,
360,
8808,
1268,
4177,
37384,
5188,
62,
15,
13,
10378,
1823,
11,
37384,
5188,
62,
15,
13,
3672,
11,
37384,
5188,
62,
15,
13,
17618,
16034,
1781,
7054,
37384,
5188,
62,
15,
11,
1781,
7054,
37384,
5188,
62,
16,
11,
1781,
62,
3866,
27614,
33411,
37384,
5188,
62,
15,
13,
17319,
62,
312,
796,
1781,
62,
3866,
27614,
13,
3866,
62,
17319,
62,
312,
5357,
5626,
37384,
5188,
62,
15,
13,
17319,
62,
312,
3268,
357,
46506,
49348,
3525,
62,
38827,
12532,
26011
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
10902,
466,
314,
761,
284,
1011,
878,
1781,
23809,
56,
10761,
8120,
718,
5999,
5633,
46506,
360,
8808,
1268,
4177,
37384,
5188,
62,
15,
13,
10378,
1823,
11,
37384,
5188,
62,
15,
13,
3672,
11,
37384,
5188,
62,
15,
13,
17618,
16034,
1781,
7054,
37384,
5188,
62,
15,
11,
1781,
7054,
37384,
5188,
62,
16,
11,
1781,
62,
3866,
27614,
33411,
37384,
5188,
62,
15,
13,
17319,
62,
312,
796,
1781,
62,
3866,
27614,
13,
3866,
62,
17319,
62,
312,
5357,
5626,
37384,
5188,
62,
15,
13,
17319,
62,
312,
3268,
357,
46506,
49348,
3525,
62,
38827,
12532,
26011
] |
what is the class when part 2 is bond? | SELECT "Class" FROM table_44369 WHERE "Part 2" = 'bond' | [
10919,
318,
262,
1398,
618,
636,
362,
318,
6314,
30,
46506,
366,
9487,
1,
16034,
3084,
62,
2598,
30803,
33411,
366,
7841,
362,
1,
796,
705,
65,
623,
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
] | [
10919,
318,
262,
1398,
618,
636,
362,
318,
6314,
30,
46506,
366,
9487,
1,
16034,
3084,
62,
2598,
30803,
33411,
366,
7841,
362,
1,
796,
705,
65,
623,
6
] |
What is the Time of the Rowers from Belgium? | SELECT time FROM table_name_36 WHERE country = "belgium" | [
2061,
318,
262,
3862,
286,
262,
371,
3618,
422,
15664,
30,
46506,
640,
16034,
3084,
62,
3672,
62,
2623,
33411,
1499,
796,
366,
6667,
70,
1505,
1
] | [
1,
1,
1,
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,
3862,
286,
262,
371,
3618,
422,
15664,
30,
46506,
640,
16034,
3084,
62,
3672,
62,
2623,
33411,
1499,
796,
366,
6667,
70,
1505,
1
] |
Please list the age and famous title of artists in descending order of age. | SELECT Famous_Title, Age FROM artist ORDER BY Age DESC | [
5492,
1351,
262,
2479,
290,
5863,
3670,
286,
7912,
287,
31491,
1502,
286,
2479,
13,
46506,
43261,
62,
19160,
11,
7129,
16034,
6802,
38678,
11050,
7129,
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
] | [
5492,
1351,
262,
2479,
290,
5863,
3670,
286,
7912,
287,
31491,
1502,
286,
2479,
13,
46506,
43261,
62,
19160,
11,
7129,
16034,
6802,
38678,
11050,
7129,
22196,
34
] |
Which Week had a Result of w 10-0, and an Attendance smaller than 58,571? | SELECT COUNT(week) FROM table_name_5 WHERE result = "w 10-0" AND attendance < 58 OFFSET 571 | [
13828,
6119,
550,
257,
25414,
286,
266,
838,
12,
15,
11,
290,
281,
46502,
590,
4833,
621,
7618,
11,
42875,
30,
46506,
327,
28270,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
20,
33411,
1255,
796,
366,
86,
838,
12,
15,
1,
5357,
14858,
1279,
7618,
3963,
10652,
2767,
642,
4869
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6119,
550,
257,
25414,
286,
266,
838,
12,
15,
11,
290,
281,
46502,
590,
4833,
621,
7618,
11,
42875,
30,
46506,
327,
28270,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
20,
33411,
1255,
796,
366,
86,
838,
12,
15,
1,
5357,
14858,
1279,
7618,
3963,
10652,
2767,
642,
4869
] |
How many points did the club with 13 losses and 461 points against have? | SELECT points FROM table_name_59 WHERE lost = "13" AND points_against = "461" | [
2437,
867,
2173,
750,
262,
3430,
351,
1511,
9089,
290,
604,
5333,
2173,
1028,
423,
30,
46506,
2173,
16034,
3084,
62,
3672,
62,
3270,
33411,
2626,
796,
366,
1485,
1,
5357,
2173,
62,
32826,
796,
366,
40652,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
750,
262,
3430,
351,
1511,
9089,
290,
604,
5333,
2173,
1028,
423,
30,
46506,
2173,
16034,
3084,
62,
3672,
62,
3270,
33411,
2626,
796,
366,
1485,
1,
5357,
2173,
62,
32826,
796,
366,
40652,
1
] |
provide the number of patients whose diagnoses icd9 code is 99662 and lab test fluid is ascites? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "99662" AND lab.fluid = "Ascites" | [
15234,
485,
262,
1271,
286,
3871,
3025,
40567,
14158,
67,
24,
2438,
318,
7388,
39380,
290,
2248,
1332,
11711,
318,
10570,
2737,
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,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
2079,
39380,
1,
5357,
2248,
13,
35522,
312,
796,
366,
32,
1416,
2737
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
40567,
14158,
67,
24,
2438,
318,
7388,
39380,
290,
2248,
1332,
11711,
318,
10570,
2737,
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,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
2079,
39380,
1,
5357,
2248,
13,
35522,
312,
796,
366,
32,
1416,
2737
] |
Well-Received Question Rank by User. | WITH RankedUsers AS (SELECT RANK() OVER (ORDER BY COUNT(*) DESC) AS Rank, p.OwnerUserId AS UserId, COUNT(*) AS QuestionCount FROM Posts AS p WHERE PostTypeId = 1 AND p.Score > 0 GROUP BY p.OwnerUserId) SELECT Rank, UserID AS "user_link", QuestionCount FROM RankedUsers WHERE Rank < 100 OR UserID = '##UserId##' ORDER BY Rank | [
5779,
12,
3041,
6471,
18233,
10916,
416,
11787,
13,
54,
10554,
41844,
14490,
7054,
357,
46506,
371,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
10916,
11,
279,
13,
42419,
12982,
7390,
7054,
11787,
7390,
11,
327,
28270,
7,
28104,
7054,
18233,
12332,
16034,
12043,
7054,
279,
33411,
2947,
6030,
7390,
796,
352,
5357,
279,
13,
26595,
1875,
657,
44441,
11050,
279,
13,
42419,
12982,
7390,
8,
33493,
10916,
11,
11787,
2389,
7054,
366,
7220,
62,
8726,
1600,
18233,
12332,
16034,
41844,
14490,
33411,
10916,
1279,
1802,
6375,
11787,
2389,
796,
705,
2235
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5779,
12,
3041,
6471,
18233,
10916,
416,
11787,
13,
54,
10554,
41844,
14490,
7054,
357,
46506,
371,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
10916,
11,
279,
13,
42419,
12982,
7390,
7054,
11787,
7390,
11,
327,
28270,
7,
28104,
7054,
18233,
12332,
16034,
12043,
7054,
279,
33411,
2947,
6030,
7390,
796,
352,
5357,
279,
13,
26595,
1875,
657,
44441,
11050,
279,
13,
42419,
12982,
7390,
8,
33493,
10916,
11,
11787,
2389,
7054,
366,
7220,
62,
8726,
1600,
18233,
12332,
16034,
41844,
14490,
33411,
10916,
1279,
1802,
6375,
11787,
2389,
796,
705,
2235
] |
What was the top scorer in the 1890-91 season? | SELECT "Top scorer" FROM table_33713 WHERE "Season" = '1890-91' | [
2061,
373,
262,
1353,
30664,
287,
262,
31982,
12,
6420,
1622,
30,
46506,
366,
9126,
30664,
1,
16034,
3084,
62,
31496,
1485,
33411,
366,
18960,
1,
796,
705,
1507,
3829,
12,
6420,
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,
373,
262,
1353,
30664,
287,
262,
31982,
12,
6420,
1622,
30,
46506,
366,
9126,
30664,
1,
16034,
3084,
62,
31496,
1485,
33411,
366,
18960,
1,
796,
705,
1507,
3829,
12,
6420,
6
] |
where does li dong publish ? | SELECT DISTINCT paper.journalid, venue.venueid FROM author, paper, venue, writes WHERE author.authorname = 'li dong' AND venue.venueid = paper.venueid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | [
3003,
857,
7649,
288,
506,
7715,
5633,
46506,
360,
8808,
1268,
4177,
3348,
13,
24891,
312,
11,
14359,
13,
4080,
312,
16034,
1772,
11,
3348,
11,
14359,
11,
6797,
33411,
1772,
13,
18439,
1211,
480,
796,
705,
4528,
288,
506,
6,
5357,
14359,
13,
4080,
312,
796,
3348,
13,
4080,
312,
5357,
6797,
13,
9800,
312,
796,
1772,
13,
9800,
312,
5357,
6797,
13,
20189,
312,
796,
3348,
13,
20189,
312
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
3003,
857,
7649,
288,
506,
7715,
5633,
46506,
360,
8808,
1268,
4177,
3348,
13,
24891,
312,
11,
14359,
13,
4080,
312,
16034,
1772,
11,
3348,
11,
14359,
11,
6797,
33411,
1772,
13,
18439,
1211,
480,
796,
705,
4528,
288,
506,
6,
5357,
14359,
13,
4080,
312,
796,
3348,
13,
4080,
312,
5357,
6797,
13,
9800,
312,
796,
1772,
13,
9800,
312,
5357,
6797,
13,
20189,
312,
796,
3348,
13,
20189,
312
] |
How many games does novica veli kovi have when there's more than 24 rebounds? | SELECT COUNT(games) FROM table_name_57 WHERE name = "novica veličković" AND rebounds > 24 | [
2437,
867,
1830,
857,
645,
85,
3970,
11555,
72,
479,
47297,
423,
618,
612,
338,
517,
621,
1987,
18841,
30,
46506,
327,
28270,
7,
19966,
8,
16034,
3084,
62,
3672,
62,
3553,
33411,
1438,
796,
366,
37302,
3970,
11555,
72,
46195,
21862,
72,
38325,
1,
5357,
18841,
1875,
1987
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
857,
645,
85,
3970,
11555,
72,
479,
47297,
423,
618,
612,
338,
517,
621,
1987,
18841,
30,
46506,
327,
28270,
7,
19966,
8,
16034,
3084,
62,
3672,
62,
3553,
33411,
1438,
796,
366,
37302,
3970,
11555,
72,
46195,
21862,
72,
38325,
1,
5357,
18841,
1875,
1987
] |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of job_id and the average of employee_id , and group by attribute job_id in a bar chart. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID | [
1890,
883,
4409,
3025,
9588,
318,
287,
262,
2837,
286,
38055,
290,
1105,
830,
290,
5810,
318,
407,
9242,
393,
5011,
1271,
857,
407,
4961,
284,
2319,
11,
905,
502,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
287,
257,
2318,
8262,
13,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
42475,
13153,
38651,
8845,
1677,
38055,
5357,
1105,
830,
5357,
22240,
40373,
62,
47,
4177,
1279,
29,
366,
8423,
1,
6375,
5550,
30709,
10979,
62
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
3025,
9588,
318,
287,
262,
2837,
286,
38055,
290,
1105,
830,
290,
5810,
318,
407,
9242,
393,
5011,
1271,
857,
407,
4961,
284,
2319,
11,
905,
502,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
287,
257,
2318,
8262,
13,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
42475,
13153,
38651,
8845,
1677,
38055,
5357,
1105,
830,
5357,
22240,
40373,
62,
47,
4177,
1279,
29,
366,
8423,
1,
6375,
5550,
30709,
10979,
62
] |
What was the score versus Michaela Pochabov ? | SELECT score FROM table_name_85 WHERE opponent_in_the_final = "michaela pochabová" | [
2061,
373,
262,
4776,
9051,
3899,
64,
350,
5374,
397,
709,
5633,
46506,
4776,
16034,
3084,
62,
3672,
62,
5332,
33411,
6125,
62,
259,
62,
1169,
62,
20311,
796,
366,
76,
40302,
64,
745,
354,
397,
709,
6557,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9051,
3899,
64,
350,
5374,
397,
709,
5633,
46506,
4776,
16034,
3084,
62,
3672,
62,
5332,
33411,
6125,
62,
259,
62,
1169,
62,
20311,
796,
366,
76,
40302,
64,
745,
354,
397,
709,
6557,
1
] |
When did the away team have a score of 11.14 (80)? | SELECT "Date" FROM table_54508 WHERE "Away team score" = '11.14 (80)' | [
2215,
750,
262,
1497,
1074,
423,
257,
4776,
286,
1367,
13,
1415,
357,
1795,
19427,
46506,
366,
10430,
1,
16034,
3084,
62,
4051,
33042,
33411,
366,
32,
1014,
1074,
4776,
1,
796,
705,
1157,
13,
1415,
357,
1795,
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
] | [
2215,
750,
262,
1497,
1074,
423,
257,
4776,
286,
1367,
13,
1415,
357,
1795,
19427,
46506,
366,
10430,
1,
16034,
3084,
62,
4051,
33042,
33411,
366,
32,
1014,
1074,
4776,
1,
796,
705,
1157,
13,
1415,
357,
1795,
33047
] |
When did the tournament, in which the runner-up was Song-Hee Kim, happen | SELECT date FROM table_1940012_2 WHERE runner_s__up = "Song-Hee Kim" | [
2215,
750,
262,
7756,
11,
287,
543,
262,
17490,
12,
929,
373,
10940,
12,
39,
1453,
6502,
11,
1645,
46506,
3128,
16034,
3084,
62,
1129,
7029,
1065,
62,
17,
33411,
17490,
62,
82,
834,
929,
796,
366,
44241,
12,
39,
1453,
6502,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
750,
262,
7756,
11,
287,
543,
262,
17490,
12,
929,
373,
10940,
12,
39,
1453,
6502,
11,
1645,
46506,
3128,
16034,
3084,
62,
1129,
7029,
1065,
62,
17,
33411,
17490,
62,
82,
834,
929,
796,
366,
44241,
12,
39,
1453,
6502,
1
] |
get me the number of white ethnic background patients who were born before the year 2058. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.dob_year < "2058" | [
1136,
502,
262,
1271,
286,
2330,
9450,
4469,
3871,
508,
547,
4642,
878,
262,
614,
1160,
3365,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1,
5357,
16728,
13,
67,
672,
62,
1941,
1279,
366,
1238,
3365,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1136,
502,
262,
1271,
286,
2330,
9450,
4469,
3871,
508,
547,
4642,
878,
262,
614,
1160,
3365,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1,
5357,
16728,
13,
67,
672,
62,
1941,
1279,
366,
1238,
3365,
1
] |
What is the lowest number of ties in the NFL, with less than 2 losses and less than 15 wins? | SELECT MIN("Ties") FROM table_77179 WHERE "League" = 'nfl' AND "Losses" < '2' AND "Wins" < '15' | [
2061,
318,
262,
9016,
1271,
286,
8470,
287,
262,
5134,
11,
351,
1342,
621,
362,
9089,
290,
1342,
621,
1315,
7864,
30,
46506,
20625,
7203,
51,
444,
4943,
16034,
3084,
62,
3324,
21738,
33411,
366,
24623,
1,
796,
705,
77,
2704,
6,
5357,
366,
43,
793,
274,
1,
1279,
705,
17,
6,
5357,
366,
54,
1040,
1,
1279,
705,
1314,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
1271,
286,
8470,
287,
262,
5134,
11,
351,
1342,
621,
362,
9089,
290,
1342,
621,
1315,
7864,
30,
46506,
20625,
7203,
51,
444,
4943,
16034,
3084,
62,
3324,
21738,
33411,
366,
24623,
1,
796,
705,
77,
2704,
6,
5357,
366,
43,
793,
274,
1,
1279,
705,
17,
6,
5357,
366,
54,
1040,
1,
1279,
705,
1314,
6
] |
What opponent has april 10 as the date? | SELECT opponent FROM table_name_14 WHERE date = "april 10" | [
2061,
6125,
468,
46593,
346,
838,
355,
262,
3128,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
1415,
33411,
3128,
796,
366,
499,
22379,
838,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
6125,
468,
46593,
346,
838,
355,
262,
3128,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
1415,
33411,
3128,
796,
366,
499,
22379,
838,
1
] |
How many episodes received rating of 8.2? | SELECT COUNT(episode) FROM table_24910733_2 WHERE rating = "8.2" | [
2437,
867,
8640,
2722,
7955,
286,
807,
13,
17,
30,
46506,
327,
28270,
7,
38668,
8,
16034,
3084,
62,
21626,
15982,
2091,
62,
17,
33411,
7955,
796,
366,
23,
13,
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
] | [
2437,
867,
8640,
2722,
7955,
286,
807,
13,
17,
30,
46506,
327,
28270,
7,
38668,
8,
16034,
3084,
62,
21626,
15982,
2091,
62,
17,
33411,
7955,
796,
366,
23,
13,
17,
1
] |
which Record is on March of 12 | SELECT record FROM table_name_53 WHERE march = 12 | [
4758,
13266,
318,
319,
2805,
286,
1105,
46506,
1700,
16034,
3084,
62,
3672,
62,
4310,
33411,
9960,
796,
1105
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4758,
13266,
318,
319,
2805,
286,
1105,
46506,
1700,
16034,
3084,
62,
3672,
62,
4310,
33411,
9960,
796,
1105
] |
what is the daily average value of patient 002-61035's bun? | SELECT AVG(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-61035')) AND lab.labname = 'bun' GROUP BY STRFTIME('%y-%m-%d', lab.labresulttime) | [
10919,
318,
262,
4445,
2811,
1988,
286,
5827,
3571,
17,
12,
39132,
2327,
338,
28773,
30,
46506,
35224,
7,
23912,
13,
23912,
20274,
8,
16034,
2248,
33411,
2248,
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,
21601,
12,
39132,
2327,
6,
4008,
5357,
2248,
13,
23912,
3672,
796,
705,
65,
403,
6,
44441,
11050,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4445,
2811,
1988,
286,
5827,
3571,
17,
12,
39132,
2327,
338,
28773,
30,
46506,
35224,
7,
23912,
13,
23912,
20274,
8,
16034,
2248,
33411,
2248,
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,
21601,
12,
39132,
2327,
6,
4008,
5357,
2248,
13,
23912,
3672,
796,
705,
65,
403,
6,
44441,
11050,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76
] |
how many assists did the player who played 195 minutes make | SELECT "Assists" FROM table_23170 WHERE "Minutes" = '195' | [
4919,
867,
13648,
750,
262,
2137,
508,
2826,
24793,
2431,
787,
46506,
366,
8021,
1023,
1,
16034,
3084,
62,
1954,
17279,
33411,
366,
9452,
1769,
1,
796,
705,
22186,
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
] | [
4919,
867,
13648,
750,
262,
2137,
508,
2826,
24793,
2431,
787,
46506,
366,
8021,
1023,
1,
16034,
3084,
62,
1954,
17279,
33411,
366,
9452,
1769,
1,
796,
705,
22186,
6
] |
Duplicate 'Duplicate' post notices (Thanks to Samuel Liew for a good basis). | SELECT p.CreationDate, p.Id AS "post_link", p.Score, p.ViewCount, p.AnswerCount FROM Posts AS p WHERE p.PostTypeId = 1 AND p.ClosedDate IS NULL AND p.DeletionDate IS NULL AND p.Body LIKE '%Possible Duplicate:%' ORDER BY p.ViewCount DESC LIMIT 1000 | [
35660,
489,
5344,
705,
35660,
489,
5344,
6,
1281,
19748,
357,
9690,
284,
17100,
406,
769,
329,
257,
922,
4308,
737,
46506,
279,
13,
12443,
341,
10430,
11,
279,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
279,
13,
26595,
11,
279,
13,
7680,
12332,
11,
279,
13,
33706,
12332,
16034,
12043,
7054,
279,
33411,
279,
13,
6307,
6030,
7390,
796,
352,
5357,
279,
13,
2601,
1335,
10430,
3180,
15697,
5357,
279,
13,
5005,
1616,
295,
10430,
3180,
15697,
5357,
279,
13,
25842,
34178,
705,
4,
47,
4733,
49821,
5344,
25,
4,
6,
38678,
11050,
279,
13,
7680,
12332,
22196
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
35660,
489,
5344,
705,
35660,
489,
5344,
6,
1281,
19748,
357,
9690,
284,
17100,
406,
769,
329,
257,
922,
4308,
737,
46506,
279,
13,
12443,
341,
10430,
11,
279,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
279,
13,
26595,
11,
279,
13,
7680,
12332,
11,
279,
13,
33706,
12332,
16034,
12043,
7054,
279,
33411,
279,
13,
6307,
6030,
7390,
796,
352,
5357,
279,
13,
2601,
1335,
10430,
3180,
15697,
5357,
279,
13,
5005,
1616,
295,
10430,
3180,
15697,
5357,
279,
13,
25842,
34178,
705,
4,
47,
4733,
49821,
5344,
25,
4,
6,
38678,
11050,
279,
13,
7680,
12332,
22196
] |
In Round 10, what was the Overall for Ed Tomlin? | SELECT AVG(overall) FROM table_name_45 WHERE round = 10 AND name = "ed tomlin" | [
818,
10485,
838,
11,
644,
373,
262,
14674,
329,
1717,
4186,
2815,
30,
46506,
35224,
7,
2502,
439,
8,
16034,
3084,
62,
3672,
62,
2231,
33411,
2835,
796,
838,
5357,
1438,
796,
366,
276,
16667,
2815,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
10485,
838,
11,
644,
373,
262,
14674,
329,
1717,
4186,
2815,
30,
46506,
35224,
7,
2502,
439,
8,
16034,
3084,
62,
3672,
62,
2231,
33411,
2835,
796,
838,
5357,
1438,
796,
366,
276,
16667,
2815,
1
] |
What was the maximum crowd size against St Kilda? | SELECT MAX("Crowd") FROM table_20740 WHERE "Away team" = 'St Kilda' | [
2061,
373,
262,
5415,
4315,
2546,
1028,
520,
509,
27281,
30,
46506,
25882,
7203,
34,
3986,
4943,
16034,
3084,
62,
22745,
1821,
33411,
366,
32,
1014,
1074,
1,
796,
705,
1273,
509,
27281,
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,
5415,
4315,
2546,
1028,
520,
509,
27281,
30,
46506,
25882,
7203,
34,
3986,
4943,
16034,
3084,
62,
22745,
1821,
33411,
366,
32,
1014,
1074,
1,
796,
705,
1273,
509,
27281,
6
] |
Most viewed questions and answers for a user. | SELECT Questions.Id AS "post_link", Questions.ViewCount FROM Posts AS Questions WHERE Questions.OwnerUserId = '##UserId##' AND Questions.PostTypeId = 1 ORDER BY ViewCount DESC | [
6943,
9569,
2683,
290,
7429,
329,
257,
2836,
13,
46506,
20396,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
20396,
13,
7680,
12332,
16034,
12043,
7054,
20396,
33411,
20396,
13,
42419,
12982,
7390,
796,
705,
2235,
12982,
7390,
2235,
6,
5357,
20396,
13,
6307,
6030,
7390,
796,
352,
38678,
11050,
3582,
12332,
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
] | [
6943,
9569,
2683,
290,
7429,
329,
257,
2836,
13,
46506,
20396,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
20396,
13,
7680,
12332,
16034,
12043,
7054,
20396,
33411,
20396,
13,
42419,
12982,
7390,
796,
705,
2235,
12982,
7390,
2235,
6,
5357,
20396,
13,
6307,
6030,
7390,
796,
352,
38678,
11050,
3582,
12332,
22196,
34
] |
Show the total number from each payment method code, rank in asc by the x-axis please. | SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code ORDER BY payment_method_code | [
15307,
262,
2472,
1271,
422,
1123,
6074,
2446,
2438,
11,
4279,
287,
10570,
416,
262,
2124,
12,
22704,
3387,
13,
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
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2472,
1271,
422,
1123,
6074,
2446,
2438,
11,
4279,
287,
10570,
416,
262,
2124,
12,
22704,
3387,
13,
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
] |
what is the number of patients whose diagnoses long title is other and unspecified alcohol dependence, unspecified and drug route is pr? | 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.long_title = "Other and unspecified alcohol dependence, unspecified" AND prescriptions.route = "PR" | [
10919,
318,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
584,
290,
29547,
5548,
21403,
11,
29547,
290,
2563,
6339,
318,
778,
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,
6511,
62,
7839,
796,
366,
6395,
290,
29547,
5548,
21403,
11,
29547,
1,
5357,
34092,
13,
38629,
796,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
890,
3670,
318,
584,
290,
29547,
5548,
21403,
11,
29547,
290,
2563,
6339,
318,
778,
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,
6511,
62,
7839,
796,
366,
6395,
290,
29547,
5548,
21403,
11,
29547,
1,
5357,
34092,
13,
38629,
796,
366
] |
when has patient 030-3247 entered the hospital for the first time during the last year via the emergency department? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '030-3247' AND patient.hospitaladmitsource = 'emergency department' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY patient.hospitaladmittime LIMIT 1 | [
12518,
468,
5827,
657,
1270,
12,
18,
23753,
5982,
262,
4436,
329,
262,
717,
640,
1141,
262,
938,
614,
2884,
262,
6334,
5011,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
39101,
12,
18,
23753,
6,
5357,
5827,
13,
49257,
324,
24883,
1668,
796,
705,
24677,
4949,
5011,
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,
11537,
38678
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
468,
5827,
657,
1270,
12,
18,
23753,
5982,
262,
4436,
329,
262,
717,
640,
1141,
262,
938,
614,
2884,
262,
6334,
5011,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
39101,
12,
18,
23753,
6,
5357,
5827,
13,
49257,
324,
24883,
1668,
796,
705,
24677,
4949,
5011,
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,
11537,
38678
] |
what is the number of patients whose age is beow 74 and diagnosed for non specific elavation of transaminase level or lactic acid dehydrogenase? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "74" AND diagnoses.long_title = "Nonspecific elevation of levels of transaminase or lactic acid dehydrogenase [LDH]" | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
307,
322,
8915,
290,
14641,
329,
1729,
2176,
1288,
615,
341,
286,
1007,
5669,
589,
1241,
393,
300,
12009,
7408,
28151,
8648,
589,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
496,
1279,
366,
4524,
1,
5357,
40567,
13,
6511,
62,
7839,
796,
366,
45,
684,
431,
7790,
22910,
286,
2974,
286,
1007,
5669,
589,
393,
300,
12009,
7408,
28151
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2479,
318,
307,
322,
8915,
290,
14641,
329,
1729,
2176,
1288,
615,
341,
286,
1007,
5669,
589,
1241,
393,
300,
12009,
7408,
28151,
8648,
589,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
496,
1279,
366,
4524,
1,
5357,
40567,
13,
6511,
62,
7839,
796,
366,
45,
684,
431,
7790,
22910,
286,
2974,
286,
1007,
5669,
589,
393,
300,
12009,
7408,
28151
] |
How many Byes have an Against of 972, and more than 11 wins? | SELECT SUM("Byes") FROM table_62706 WHERE "Against" = '972' AND "Wins" > '11' | [
2437,
867,
2750,
274,
423,
281,
12914,
286,
860,
4761,
11,
290,
517,
621,
1367,
7864,
30,
46506,
35683,
7203,
3886,
274,
4943,
16034,
3084,
62,
49856,
3312,
33411,
366,
39276,
1,
796,
705,
24,
4761,
6,
5357,
366,
54,
1040,
1,
1875,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
2750,
274,
423,
281,
12914,
286,
860,
4761,
11,
290,
517,
621,
1367,
7864,
30,
46506,
35683,
7203,
3886,
274,
4943,
16034,
3084,
62,
49856,
3312,
33411,
366,
39276,
1,
796,
705,
24,
4761,
6,
5357,
366,
54,
1040,
1,
1875,
705,
1157,
6
] |
MODGREEK 105 will have how many professors Spring 2017 ? | SELECT COUNT(DISTINCT instructor.instructor_id) FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'MODGREEK' AND course.number = 105 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'Spring' AND semester.semester_id = course_offering.semester AND semester.year = 2017 | [
33365,
38,
11587,
42,
13343,
481,
423,
703,
867,
20339,
8225,
2177,
5633,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
21187,
13,
259,
7249,
273,
62,
312,
8,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
11,
24878,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
33365,
38,
11587,
42,
6,
5357,
1781,
13,
17618,
796,
13343,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273,
62,
312,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
33365,
38,
11587,
42,
13343,
481,
423,
703,
867,
20339,
8225,
2177,
5633,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
21187,
13,
259,
7249,
273,
62,
312,
8,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
11,
24878,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
33365,
38,
11587,
42,
6,
5357,
1781,
13,
17618,
796,
13343,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273,
62,
312,
5357
] |
what is romanian when nuorese sardinian is [ kantaza]? | SELECT "Romanian" FROM table_3274 WHERE "Nuorese Sardinian" = '[ˈkantaza]' | [
10919,
318,
374,
5185,
666,
618,
14364,
382,
325,
264,
446,
24605,
318,
685,
479,
415,
7056,
60,
30,
46506,
366,
32454,
666,
1,
16034,
3084,
62,
18,
28857,
33411,
366,
45,
84,
382,
325,
46997,
24605,
1,
796,
44438,
45990,
74,
415,
7056,
49946
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
374,
5185,
666,
618,
14364,
382,
325,
264,
446,
24605,
318,
685,
479,
415,
7056,
60,
30,
46506,
366,
32454,
666,
1,
16034,
3084,
62,
18,
28857,
33411,
366,
45,
84,
382,
325,
46997,
24605,
1,
796,
44438,
45990,
74,
415,
7056,
49946
] |
What competition was played at Shay Stadium? | SELECT competition FROM table_name_84 WHERE venue = "shay stadium" | [
2061,
5449,
373,
2826,
379,
34760,
10499,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
5705,
33411,
14359,
796,
366,
1477,
323,
10308,
1
] | [
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,
2826,
379,
34760,
10499,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
5705,
33411,
14359,
796,
366,
1477,
323,
10308,
1
] |
Ignore movies whose director is NULL For each director, what are the titles and the highest rating among all of their movies they reviewed? Draw the result by a bar chart, order from low to high by the y-axis. | SELECT title, MAX(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director <> "null" GROUP BY title ORDER BY MAX(T1.stars) | [
32916,
382,
6918,
3025,
3437,
318,
15697,
1114,
1123,
3437,
11,
644,
389,
262,
8714,
290,
262,
4511,
7955,
1871,
477,
286,
511,
6918,
484,
11765,
30,
15315,
262,
1255,
416,
257,
2318,
8262,
11,
1502,
422,
1877,
284,
1029,
416,
262,
331,
12,
22704,
13,
46506,
3670,
11,
25882,
7,
51,
16,
13,
30783,
8,
16034,
12028,
7054,
309,
16,
32357,
1268,
15875,
7054,
309,
17,
6177,
309,
16,
13,
76,
2389,
796,
309,
17,
13,
76,
2389,
33411,
3437,
1279,
29,
366,
8423,
1,
44441,
11050,
3670,
38678,
11050,
25882,
7,
51,
16,
13,
30783,
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
] | [
32916,
382,
6918,
3025,
3437,
318,
15697,
1114,
1123,
3437,
11,
644,
389,
262,
8714,
290,
262,
4511,
7955,
1871,
477,
286,
511,
6918,
484,
11765,
30,
15315,
262,
1255,
416,
257,
2318,
8262,
11,
1502,
422,
1877,
284,
1029,
416,
262,
331,
12,
22704,
13,
46506,
3670,
11,
25882,
7,
51,
16,
13,
30783,
8,
16034,
12028,
7054,
309,
16,
32357,
1268,
15875,
7054,
309,
17,
6177,
309,
16,
13,
76,
2389,
796,
309,
17,
13,
76,
2389,
33411,
3437,
1279,
29,
366,
8423,
1,
44441,
11050,
3670,
38678,
11050,
25882,
7,
51,
16,
13,
30783,
8
] |
How many couples have an average of 25.3? | SELECT COUNT("Couple") FROM table_23706 WHERE "Average" = '25.3' | [
2437,
867,
11886,
423,
281,
2811,
286,
1679,
13,
18,
30,
46506,
327,
28270,
7203,
34,
43846,
4943,
16034,
3084,
62,
1954,
35402,
33411,
366,
26287,
1,
796,
705,
1495,
13,
18,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
11886,
423,
281,
2811,
286,
1679,
13,
18,
30,
46506,
327,
28270,
7203,
34,
43846,
4943,
16034,
3084,
62,
1954,
35402,
33411,
366,
26287,
1,
796,
705,
1495,
13,
18,
6
] |
list each representative from conservative party | SELECT "name" FROM table_203_345 WHERE "party" = 'conservative' | [
4868,
1123,
8852,
422,
5940,
2151,
46506,
366,
3672,
1,
16034,
3084,
62,
22416,
62,
27712,
33411,
366,
10608,
1,
796,
705,
43218,
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
] | [
4868,
1123,
8852,
422,
5940,
2151,
46506,
366,
3672,
1,
16034,
3084,
62,
22416,
62,
27712,
33411,
366,
10608,
1,
796,
705,
43218,
6
] |
What is the party of the election in which Robert Bauman is the incumbent? | SELECT party FROM table_1341690_20 WHERE incumbent = "Robert Bauman" | [
2061,
318,
262,
2151,
286,
262,
3071,
287,
543,
5199,
8999,
3778,
318,
262,
23526,
30,
46506,
2151,
16034,
3084,
62,
19880,
1433,
3829,
62,
1238,
33411,
23526,
796,
366,
19156,
8999,
3778,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2151,
286,
262,
3071,
287,
543,
5199,
8999,
3778,
318,
262,
23526,
30,
46506,
2151,
16034,
3084,
62,
19880,
1433,
3829,
62,
1238,
33411,
23526,
796,
366,
19156,
8999,
3778,
1
] |
how many of the adult patients with bmi less than 19 received additive therapy? | 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 = "BMI less than 19,adult" AND prescriptions.drug_type = "ADDITIVE" | [
4919,
867,
286,
262,
4044,
3871,
351,
275,
11632,
1342,
621,
678,
2722,
38298,
9102,
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,
33,
8895,
1342,
621,
678,
11,
49922,
1,
5357,
34092,
13,
30349,
62,
4906,
796,
366,
29266,
2043,
9306,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
286,
262,
4044,
3871,
351,
275,
11632,
1342,
621,
678,
2722,
38298,
9102,
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,
33,
8895,
1342,
621,
678,
11,
49922,
1,
5357,
34092,
13,
30349,
62,
4906,
796,
366,
29266,
2043,
9306,
1
] |
Name the tournaments played for 2004 | SELECT MIN("Tournaments played") FROM table_24155 WHERE "Year" = '2004' | [
5376,
262,
18130,
2826,
329,
5472,
46506,
20625,
7203,
51,
16950,
2826,
4943,
16034,
3084,
62,
1731,
18742,
33411,
366,
17688,
1,
796,
705,
15724,
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
] | [
5376,
262,
18130,
2826,
329,
5472,
46506,
20625,
7203,
51,
16950,
2826,
4943,
16034,
3084,
62,
1731,
18742,
33411,
366,
17688,
1,
796,
705,
15724,
6
] |
What is Ben Hogan's Place? | SELECT "Place" FROM table_49162 WHERE "Player" = 'ben hogan' | [
2061,
318,
3932,
25316,
338,
8474,
30,
46506,
366,
27271,
1,
16034,
3084,
62,
2920,
25061,
33411,
366,
14140,
1,
796,
705,
11722,
289,
9632,
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,
318,
3932,
25316,
338,
8474,
30,
46506,
366,
27271,
1,
16034,
3084,
62,
2920,
25061,
33411,
366,
14140,
1,
796,
705,
11722,
289,
9632,
6
] |
What is the order for a red list of 7 in the didelphidae family? | SELECT "Order" FROM table_14746 WHERE "Red List" = '7' AND "Family" = 'didelphidae' | [
2061,
318,
262,
1502,
329,
257,
2266,
1351,
286,
767,
287,
262,
750,
417,
746,
31718,
1641,
30,
46506,
366,
18743,
1,
16034,
3084,
62,
20198,
3510,
33411,
366,
7738,
7343,
1,
796,
705,
22,
6,
5357,
366,
24094,
1,
796,
705,
67,
5943,
746,
31718,
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
] | [
2061,
318,
262,
1502,
329,
257,
2266,
1351,
286,
767,
287,
262,
750,
417,
746,
31718,
1641,
30,
46506,
366,
18743,
1,
16034,
3084,
62,
20198,
3510,
33411,
366,
7738,
7343,
1,
796,
705,
22,
6,
5357,
366,
24094,
1,
796,
705,
67,
5943,
746,
31718,
6
] |
What is the status of the district where the result is 63% 37%? | SELECT "Status" FROM table_1418 WHERE "Results" = '63% 37%' | [
2061,
318,
262,
3722,
286,
262,
4783,
810,
262,
1255,
318,
8093,
4,
5214,
4,
30,
46506,
366,
19580,
1,
16034,
3084,
62,
1415,
1507,
33411,
366,
25468,
1,
796,
705,
5066,
4,
5214,
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
] | [
2061,
318,
262,
3722,
286,
262,
4783,
810,
262,
1255,
318,
8093,
4,
5214,
4,
30,
46506,
366,
19580,
1,
16034,
3084,
62,
1415,
1507,
33411,
366,
25468,
1,
796,
705,
5066,
4,
5214,
4,
6
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.