instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
sequence | attention_mask
sequence | labels
sequence |
---|---|---|---|---|
What is the 2013 with virgin in 2009? | SELECT "2013" FROM table_50047 WHERE "2009" = 'virgin' | [
2061,
318,
262,
2211,
351,
21772,
287,
3717,
30,
46506,
366,
6390,
1,
16034,
3084,
62,
4059,
2857,
33411,
366,
10531,
1,
796,
705,
85,
4672,
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
] | [
2061,
318,
262,
2211,
351,
21772,
287,
3717,
30,
46506,
366,
6390,
1,
16034,
3084,
62,
4059,
2857,
33411,
366,
10531,
1,
796,
705,
85,
4672,
6
] |
What is the rank for the competitor from Bulgaria? | SELECT MIN(rank) FROM table_name_16 WHERE country = "bulgaria" | [
2061,
318,
262,
4279,
329,
262,
20319,
422,
27902,
30,
46506,
20625,
7,
43027,
8,
16034,
3084,
62,
3672,
62,
1433,
33411,
1499,
796,
366,
15065,
4563,
544,
1
] | [
1,
1,
1,
1,
1,
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,
4279,
329,
262,
20319,
422,
27902,
30,
46506,
20625,
7,
43027,
8,
16034,
3084,
62,
3672,
62,
1433,
33411,
1499,
796,
366,
15065,
4563,
544,
1
] |
All NewtonSoft questions with no obvious link to JSON.NET. | SELECT Tags, Id AS "post_link" FROM Posts WHERE LOWER(Tags) LIKE '%newtonsoft%' AND (NOT LOWER(Tags) LIKE '%json%' AND NOT LOWER(Title) LIKE '%json%') | [
3237,
17321,
18380,
2683,
351,
645,
3489,
2792,
284,
19449,
13,
12884,
13,
46506,
44789,
11,
5121,
7054,
366,
7353,
62,
8726,
1,
16034,
12043,
33411,
406,
36048,
7,
36142,
8,
34178,
705,
4,
3605,
1122,
4215,
4,
6,
5357,
357,
11929,
406,
36048,
7,
36142,
8,
34178,
705,
4,
17752,
4,
6,
5357,
5626,
406,
36048,
7,
19160,
8,
34178,
705,
4,
17752,
4,
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
] | [
3237,
17321,
18380,
2683,
351,
645,
3489,
2792,
284,
19449,
13,
12884,
13,
46506,
44789,
11,
5121,
7054,
366,
7353,
62,
8726,
1,
16034,
12043,
33411,
406,
36048,
7,
36142,
8,
34178,
705,
4,
3605,
1122,
4215,
4,
6,
5357,
357,
11929,
406,
36048,
7,
36142,
8,
34178,
705,
4,
17752,
4,
6,
5357,
5626,
406,
36048,
7,
19160,
8,
34178,
705,
4,
17752,
4,
11537
] |
Name the member that has 12 chapters | SELECT member FROM table_10054296_1 WHERE chapters = 12 | [
5376,
262,
2888,
326,
468,
1105,
15754,
46506,
2888,
16034,
3084,
62,
3064,
4051,
27137,
62,
16,
33411,
15754,
796,
1105
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
2888,
326,
468,
1105,
15754,
46506,
2888,
16034,
3084,
62,
3064,
4051,
27137,
62,
16,
33411,
15754,
796,
1105
] |
what is the total vessels built for usmc when the 1st ship delivery date is january 1943? | SELECT "Total Vessels Built for USMC" FROM table_56230 WHERE "1st Ship Delivery Date" = 'january 1943' | [
10919,
318,
262,
2472,
14891,
3170,
329,
514,
23209,
618,
262,
352,
301,
4074,
7585,
3128,
318,
42897,
2838,
21577,
30,
46506,
366,
14957,
44734,
82,
28477,
329,
1294,
9655,
1,
16034,
3084,
62,
3980,
19214,
33411,
366,
16,
301,
16656,
28682,
7536,
1,
796,
705,
13881,
2838,
21577,
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
] | [
10919,
318,
262,
2472,
14891,
3170,
329,
514,
23209,
618,
262,
352,
301,
4074,
7585,
3128,
318,
42897,
2838,
21577,
30,
46506,
366,
14957,
44734,
82,
28477,
329,
1294,
9655,
1,
16034,
3084,
62,
3980,
19214,
33411,
366,
16,
301,
16656,
28682,
7536,
1,
796,
705,
13881,
2838,
21577,
6
] |
Who was the opponent when Raphael was 4-0? | SELECT opponent FROM table_name_11 WHERE record = "4-0" | [
8241,
373,
262,
6125,
618,
37464,
373,
604,
12,
15,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
1157,
33411,
1700,
796,
366,
19,
12,
15,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
373,
262,
6125,
618,
37464,
373,
604,
12,
15,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
1157,
33411,
1700,
796,
366,
19,
12,
15,
1
] |
what were the top five most frequent medications prescribed to patients within 2 months after the prescribing of fomepizole? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'fomepizole') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.startdate) AND DATETIME(t1.startdate, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | [
10919,
547,
262,
1353,
1936,
749,
10792,
17638,
14798,
284,
3871,
1626,
362,
1933,
706,
262,
39973,
286,
277,
462,
79,
528,
2305,
30,
46506,
256,
18,
13,
30349,
16034,
357,
46506,
256,
17,
13,
30349,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
34092,
13,
9688,
4475,
16034,
34092,
32357,
1268,
25349,
6177,
34092,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
34092,
13,
30349,
796,
705,
69,
462,
79,
528
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
547,
262,
1353,
1936,
749,
10792,
17638,
14798,
284,
3871,
1626,
362,
1933,
706,
262,
39973,
286,
277,
462,
79,
528,
2305,
30,
46506,
256,
18,
13,
30349,
16034,
357,
46506,
256,
17,
13,
30349,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
34092,
13,
9688,
4475,
16034,
34092,
32357,
1268,
25349,
6177,
34092,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
34092,
13,
30349,
796,
705,
69,
462,
79,
528
] |
What is the Birth of the lady that has a Became Duchess on 18 august 1593 husband's accession? | SELECT "Birth" FROM table_6449 WHERE "Became Duchess" = '18 august 1593 husband''s accession' | [
2061,
318,
262,
17647,
286,
262,
10846,
326,
468,
257,
30769,
40289,
319,
1248,
16339,
436,
1315,
6052,
5229,
338,
1895,
295,
30,
46506,
366,
38480,
1,
16034,
3084,
62,
2414,
2920,
33411,
366,
39649,
480,
40289,
1,
796,
705,
1507,
16339,
436,
1315,
6052,
5229,
7061,
82,
1895,
295,
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,
17647,
286,
262,
10846,
326,
468,
257,
30769,
40289,
319,
1248,
16339,
436,
1315,
6052,
5229,
338,
1895,
295,
30,
46506,
366,
38480,
1,
16034,
3084,
62,
2414,
2920,
33411,
366,
39649,
480,
40289,
1,
796,
705,
1507,
16339,
436,
1315,
6052,
5229,
7061,
82,
1895,
295,
6
] |
Dave Curry has what Nationality? | SELECT "Nationality" FROM table_70601 WHERE "Player" = 'dave curry' | [
27984,
20920,
468,
644,
2351,
414,
30,
46506,
366,
16186,
414,
1,
16034,
3084,
62,
35402,
486,
33411,
366,
14140,
1,
796,
705,
67,
1015,
34611,
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
] | [
27984,
20920,
468,
644,
2351,
414,
30,
46506,
366,
16186,
414,
1,
16034,
3084,
62,
35402,
486,
33411,
366,
14140,
1,
796,
705,
67,
1015,
34611,
6
] |
What is the highest percent of Bruce Arena when he loses more than 11 games? | SELECT MAX("PTS.") FROM table_79984 WHERE "Coach" = 'bruce arena' AND "Loss" > '11' | [
2061,
318,
262,
4511,
1411,
286,
11088,
10937,
618,
339,
14754,
517,
621,
1367,
1830,
30,
46506,
25882,
7203,
47,
4694,
19570,
16034,
3084,
62,
45455,
5705,
33411,
366,
40677,
1,
796,
705,
65,
26524,
13478,
6,
5357,
366,
43,
793,
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
] | [
2061,
318,
262,
4511,
1411,
286,
11088,
10937,
618,
339,
14754,
517,
621,
1367,
1830,
30,
46506,
25882,
7203,
47,
4694,
19570,
16034,
3084,
62,
45455,
5705,
33411,
366,
40677,
1,
796,
705,
65,
26524,
13478,
6,
5357,
366,
43,
793,
1,
1875,
705,
1157,
6
] |
What is the low point total for arrows a22 chassis? | SELECT MIN("Points") FROM table_10868 WHERE "Chassis" = 'arrows a22' | [
2061,
318,
262,
1877,
966,
2472,
329,
20507,
257,
1828,
24587,
30,
46506,
20625,
7203,
40710,
4943,
16034,
3084,
62,
15711,
3104,
33411,
366,
1925,
20297,
1,
796,
705,
6018,
82,
257,
1828,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1877,
966,
2472,
329,
20507,
257,
1828,
24587,
30,
46506,
20625,
7203,
40710,
4943,
16034,
3084,
62,
15711,
3104,
33411,
366,
1925,
20297,
1,
796,
705,
6018,
82,
257,
1828,
6
] |
At which location did 29753 fans show up to watch the game? | SELECT "Game site" FROM table_26866 WHERE "Attendance" = '29753' | [
2953,
543,
4067,
750,
2808,
44550,
3296,
905,
510,
284,
2342,
262,
983,
30,
46506,
366,
8777,
2524,
1,
16034,
3084,
62,
25022,
2791,
33411,
366,
8086,
437,
590,
1,
796,
705,
1959,
44550,
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
] | [
2953,
543,
4067,
750,
2808,
44550,
3296,
905,
510,
284,
2342,
262,
983,
30,
46506,
366,
8777,
2524,
1,
16034,
3084,
62,
25022,
2791,
33411,
366,
8086,
437,
590,
1,
796,
705,
1959,
44550,
6
] |
Week that has a Date of december 5, 1959 had what week? | SELECT week FROM table_name_4 WHERE date = "december 5, 1959" | [
20916,
326,
468,
257,
7536,
286,
390,
3273,
642,
11,
23859,
550,
644,
1285,
30,
46506,
1285,
16034,
3084,
62,
3672,
62,
19,
33411,
3128,
796,
366,
2934,
3273,
642,
11,
23859,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
20916,
326,
468,
257,
7536,
286,
390,
3273,
642,
11,
23859,
550,
644,
1285,
30,
46506,
1285,
16034,
3084,
62,
3672,
62,
19,
33411,
3128,
796,
366,
2934,
3273,
642,
11,
23859,
1
] |
Which launch date involved the Driade? | SELECT "Launched" FROM table_72442 WHERE "Name" = 'Driade' | [
13828,
4219,
3128,
2950,
262,
5809,
671,
30,
46506,
366,
46182,
1740,
1,
16034,
3084,
62,
22,
1731,
3682,
33411,
366,
5376,
1,
796,
705,
20564,
671,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4219,
3128,
2950,
262,
5809,
671,
30,
46506,
366,
46182,
1740,
1,
16034,
3084,
62,
22,
1731,
3682,
33411,
366,
5376,
1,
796,
705,
20564,
671,
6
] |
in how many matches have australia tied between 1990-1999 ? | SELECT SUM("tied") FROM table_204_419 | [
259,
703,
867,
7466,
423,
38132,
1373,
544,
8165,
1022,
6303,
12,
18946,
5633,
46506,
35683,
7203,
83,
798,
4943,
16034,
3084,
62,
18638,
62,
45068
] | [
1,
1,
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,
703,
867,
7466,
423,
38132,
1373,
544,
8165,
1022,
6303,
12,
18946,
5633,
46506,
35683,
7203,
83,
798,
4943,
16034,
3084,
62,
18638,
62,
45068
] |
Name the total number of segment b for s banjo | SELECT COUNT(segment_b) FROM table_15187735_10 WHERE segment_d = "s Banjo" | [
5376,
262,
2472,
1271,
286,
10618,
275,
329,
264,
3958,
7639,
46506,
327,
28270,
7,
325,
5154,
62,
65,
8,
16034,
3084,
62,
1314,
1507,
3324,
2327,
62,
940,
33411,
10618,
62,
67,
796,
366,
82,
10274,
7639,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
2472,
1271,
286,
10618,
275,
329,
264,
3958,
7639,
46506,
327,
28270,
7,
325,
5154,
62,
65,
8,
16034,
3084,
62,
1314,
1507,
3324,
2327,
62,
940,
33411,
10618,
62,
67,
796,
366,
82,
10274,
7639,
1
] |
Tell me how many cinemas open for each year in a bar chart, and list by the X from low to high. | SELECT Openning_year, COUNT(Openning_year) FROM cinema GROUP BY Openning_year ORDER BY Openning_year | [
24446,
502,
703,
867,
13483,
292,
1280,
329,
1123,
614,
287,
257,
2318,
8262,
11,
290,
1351,
416,
262,
1395,
422,
1877,
284,
1029,
13,
46506,
4946,
768,
62,
1941,
11,
327,
28270,
7,
11505,
768,
62,
1941,
8,
16034,
22041,
44441,
11050,
4946,
768,
62,
1941,
38678,
11050,
4946,
768,
62,
1941
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
24446,
502,
703,
867,
13483,
292,
1280,
329,
1123,
614,
287,
257,
2318,
8262,
11,
290,
1351,
416,
262,
1395,
422,
1877,
284,
1029,
13,
46506,
4946,
768,
62,
1941,
11,
327,
28270,
7,
11505,
768,
62,
1941,
8,
16034,
22041,
44441,
11050,
4946,
768,
62,
1941,
38678,
11050,
4946,
768,
62,
1941
] |
give me the number of patients whose diagnoses long title is acute venous embolism and thrombosis of deep vessels of proximal lower extremity and drug type is base? | 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 = "Acute venous embolism and thrombosis of deep vessels of proximal lower extremity" AND prescriptions.drug_type = "BASE" | [
26535,
502,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
14352,
8710,
516,
4072,
349,
1042,
290,
294,
398,
65,
5958,
286,
2769,
14891,
286,
14793,
4402,
2793,
8963,
414,
290,
2563,
2099,
318,
2779,
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,
12832
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
502,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
14352,
8710,
516,
4072,
349,
1042,
290,
294,
398,
65,
5958,
286,
2769,
14891,
286,
14793,
4402,
2793,
8963,
414,
290,
2563,
2099,
318,
2779,
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,
12832
] |
What is the status when sd is 15? | SELECT status FROM table_26218783_7 WHERE sd = 15 | [
2061,
318,
262,
3722,
618,
45647,
318,
1315,
30,
46506,
3722,
16034,
3084,
62,
2075,
28727,
50165,
62,
22,
33411,
45647,
796,
1315
] | [
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,
618,
45647,
318,
1315,
30,
46506,
3722,
16034,
3084,
62,
2075,
28727,
50165,
62,
22,
33411,
45647,
796,
1315
] |
how many patients whose admission year is less than 2200 and procedure long title is angiocardiography of right heart structures? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2200" AND procedures.long_title = "Angiocardiography of right heart structures" | [
4919,
867,
3871,
3025,
13938,
614,
318,
1342,
621,
362,
2167,
290,
8771,
890,
3670,
318,
3550,
72,
420,
22490,
4867,
286,
826,
2612,
8573,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
76,
414,
451,
1279,
366,
34294,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
13450,
72,
420,
22490,
4867,
286,
826,
2612,
8573,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
3871,
3025,
13938,
614,
318,
1342,
621,
362,
2167,
290,
8771,
890,
3670,
318,
3550,
72,
420,
22490,
4867,
286,
826,
2612,
8573,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
76,
414,
451,
1279,
366,
34294,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
13450,
72,
420,
22490,
4867,
286,
826,
2612,
8573,
1
] |
how many of the male patients had dysthymic disorder? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Dysthymic disorder" | [
4919,
867,
286,
262,
4257,
3871,
550,
20268,
48476,
4948,
291,
8967,
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,
8388,
796,
366,
44,
1,
5357,
40567,
13,
6511,
62,
7839,
796,
366,
35,
88,
48476,
4948,
291,
8967,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4257,
3871,
550,
20268,
48476,
4948,
291,
8967,
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,
8388,
796,
366,
44,
1,
5357,
40567,
13,
6511,
62,
7839,
796,
366,
35,
88,
48476,
4948,
291,
8967,
1
] |
how many arcade games were released in 1987 ? | SELECT COUNT(*) FROM table_204_480 WHERE "year" = 1987 | [
4919,
867,
27210,
1830,
547,
2716,
287,
12923,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
22148,
33411,
366,
1941,
1,
796,
12923
] | [
1,
1,
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,
27210,
1830,
547,
2716,
287,
12923,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
22148,
33411,
366,
1941,
1,
796,
12923
] |
How many million viewers watched episode number 20? | SELECT "Viewers (millions)" FROM table_2405 WHERE "Episode No." = '20' | [
2437,
867,
1510,
10209,
7342,
4471,
1271,
1160,
30,
46506,
366,
7680,
364,
357,
17805,
507,
16725,
16034,
3084,
62,
1731,
2713,
33411,
366,
23758,
1400,
526,
796,
705,
1238,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
1510,
10209,
7342,
4471,
1271,
1160,
30,
46506,
366,
7680,
364,
357,
17805,
507,
16725,
16034,
3084,
62,
1731,
2713,
33411,
366,
23758,
1400,
526,
796,
705,
1238,
6
] |
What year has tries less than 24 and 0 points? | SELECT year FROM table_name_38 WHERE tries < 24 AND points = 0 | [
2061,
614,
468,
8404,
1342,
621,
1987,
290,
657,
2173,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
2548,
33411,
8404,
1279,
1987,
5357,
2173,
796,
657
] | [
1,
1,
1,
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,
468,
8404,
1342,
621,
1987,
290,
657,
2173,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
2548,
33411,
8404,
1279,
1987,
5357,
2173,
796,
657
] |
In what year did Stephan Wojcikiewicz play men's single and Anna Rice play women's single? | SELECT "Year" FROM table_31784 WHERE "Men's Singles" = 'stephan wojcikiewicz' AND "Women's Singles" = 'anna rice' | [
818,
644,
614,
750,
20800,
370,
13210,
979,
74,
48596,
711,
1450,
338,
2060,
290,
11735,
13823,
711,
1466,
338,
2060,
30,
46506,
366,
17688,
1,
16034,
3084,
62,
34125,
5705,
33411,
366,
10418,
338,
5573,
829,
1,
796,
705,
9662,
7637,
266,
13210,
979,
74,
48596,
6,
5357,
366,
18495,
338,
5573,
829,
1,
796,
705,
7697,
11464,
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
] | [
818,
644,
614,
750,
20800,
370,
13210,
979,
74,
48596,
711,
1450,
338,
2060,
290,
11735,
13823,
711,
1466,
338,
2060,
30,
46506,
366,
17688,
1,
16034,
3084,
62,
34125,
5705,
33411,
366,
10418,
338,
5573,
829,
1,
796,
705,
9662,
7637,
266,
13210,
979,
74,
48596,
6,
5357,
366,
18495,
338,
5573,
829,
1,
796,
705,
7697,
11464,
6
] |
Show maximal lat from each city, list X-axis in asc order. | SELECT city, MAX(lat) FROM station GROUP BY city ORDER BY city | [
15307,
40708,
3042,
422,
1123,
1748,
11,
1351,
1395,
12,
22704,
287,
10570,
1502,
13,
46506,
1748,
11,
25882,
7,
15460,
8,
16034,
4429,
44441,
11050,
1748,
38678,
11050,
1748
] | [
1,
1,
1,
1,
1,
1,
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,
40708,
3042,
422,
1123,
1748,
11,
1351,
1395,
12,
22704,
287,
10570,
1502,
13,
46506,
1748,
11,
25882,
7,
15460,
8,
16034,
4429,
44441,
11050,
1748,
38678,
11050,
1748
] |
Bar chart x axis lot details y axis the number of lot details, and list by the Y-axis in desc please. | SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details ORDER BY COUNT(lot_details) DESC | [
10374,
8262,
2124,
16488,
1256,
3307,
331,
16488,
262,
1271,
286,
1256,
3307,
11,
290,
1351,
416,
262,
575,
12,
22704,
287,
1715,
3387,
13,
46506,
1256,
62,
36604,
11,
327,
28270,
7,
26487,
62,
36604,
8,
16034,
25024,
44441,
11050,
1256,
62,
36604,
38678,
11050,
327,
28270,
7,
26487,
62,
36604,
8,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10374,
8262,
2124,
16488,
1256,
3307,
331,
16488,
262,
1271,
286,
1256,
3307,
11,
290,
1351,
416,
262,
575,
12,
22704,
287,
1715,
3387,
13,
46506,
1256,
62,
36604,
11,
327,
28270,
7,
26487,
62,
36604,
8,
16034,
25024,
44441,
11050,
1256,
62,
36604,
38678,
11050,
327,
28270,
7,
26487,
62,
36604,
8,
22196,
34
] |
the cheapest flights from ATLANTA to PHILADELPHIA that arrive after 12pm on a TUESDAY | 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, days, fare, flight, flight_fare WHERE ((((((flight.arrival_time < flight.departure_time) AND days.day_name = 'MONDAY' AND flight.flight_days = days.days_code) OR (days.day_name = 'TUESDAY' AND flight.flight_days = days.days_code AND NOT (flight.arrival_time < flight.departure_time))) AND flight.arrival_time > 1200) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, days AS DAYSalias1, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (((((FLIGHTalias1.arrival_time < FLIGHTalias1.departure_time) AND DAYSalias1.day_name = 'MONDAY' AND FLIGHTalias1.flight_days = DAYSalias1.days_code) OR (DAYSalias1.day_name = 'TUESDAY' AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND NOT (FLIGHTalias1.arrival_time < FLIGHTalias1.departure_time))) AND FLIGHTalias1.arrival_time > 1200) AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PHILADELPHIA' AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | [
1169,
28918,
13956,
422,
5161,
25697,
5603,
284,
9370,
4146,
2885,
3698,
11909,
3539,
326,
9240,
706,
1105,
4426,
319,
257,
309,
35409,
26442,
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,
1528,
11,
14505,
11,
5474,
11,
5474,
62,
9496,
33411,
14808,
19510,
19510,
22560,
13,
283,
43171,
62,
2435,
1279,
5474,
13,
10378,
433,
495,
62,
2435,
8,
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
] | [
1169,
28918,
13956,
422,
5161,
25697,
5603,
284,
9370,
4146,
2885,
3698,
11909,
3539,
326,
9240,
706,
1105,
4426,
319,
257,
309,
35409,
26442,
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,
1528,
11,
14505,
11,
5474,
11,
5474,
62,
9496,
33411,
14808,
19510,
19510,
22560,
13,
283,
43171,
62,
2435,
1279,
5474,
13,
10378,
433,
495,
62,
2435,
8,
5357
] |
what is the number of patients whose insurance is medicare and diagnoses icd9 code is 4168? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.icd9_code = "4168" | [
10919,
318,
262,
1271,
286,
3871,
3025,
5096,
318,
6924,
533,
290,
40567,
14158,
67,
24,
2438,
318,
604,
14656,
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,
1040,
3874,
796,
366,
39112,
533,
1,
5357,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
19,
14656,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5096,
318,
6924,
533,
290,
40567,
14158,
67,
24,
2438,
318,
604,
14656,
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,
1040,
3874,
796,
366,
39112,
533,
1,
5357,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
19,
14656,
1
] |
Who was the winning driver of the Kraco Car Stereo 150? | SELECT winning_driver FROM table_name_78 WHERE name = "kraco car stereo 150" | [
8241,
373,
262,
5442,
4639,
286,
262,
13685,
10602,
1879,
520,
32934,
6640,
30,
46506,
5442,
62,
26230,
16034,
3084,
62,
3672,
62,
3695,
33411,
1438,
796,
366,
38584,
10602,
1097,
24820,
6640,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
373,
262,
5442,
4639,
286,
262,
13685,
10602,
1879,
520,
32934,
6640,
30,
46506,
5442,
62,
26230,
16034,
3084,
62,
3672,
62,
3695,
33411,
1438,
796,
366,
38584,
10602,
1097,
24820,
6640,
1
] |
Before 1981, how many Points did Team Suzuki have with less than 0 Wins? | SELECT SUM("Points") FROM table_5721 WHERE "Team" = 'suzuki' AND "Year" < '1981' AND "Wins" < '0' | [
8421,
14745,
11,
703,
867,
11045,
750,
4816,
35807,
423,
351,
1342,
621,
657,
24423,
30,
46506,
35683,
7203,
40710,
4943,
16034,
3084,
62,
3553,
2481,
33411,
366,
15592,
1,
796,
705,
2385,
89,
11308,
6,
5357,
366,
17688,
1,
1279,
705,
35411,
6,
5357,
366,
54,
1040,
1,
1279,
705,
15,
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
] | [
8421,
14745,
11,
703,
867,
11045,
750,
4816,
35807,
423,
351,
1342,
621,
657,
24423,
30,
46506,
35683,
7203,
40710,
4943,
16034,
3084,
62,
3553,
2481,
33411,
366,
15592,
1,
796,
705,
2385,
89,
11308,
6,
5357,
366,
17688,
1,
1279,
705,
35411,
6,
5357,
366,
54,
1040,
1,
1279,
705,
15,
6
] |
In what year was anna university - panruti campus established? | SELECT SUM("Estd") FROM table_12463 WHERE "College or Campus Name" = 'anna university - panruti campus' | [
818,
644,
614,
373,
1529,
64,
6403,
532,
3425,
81,
47966,
7611,
4920,
30,
46506,
35683,
7203,
36,
19282,
4943,
16034,
3084,
62,
1065,
38380,
33411,
366,
38951,
393,
25005,
6530,
1,
796,
705,
7697,
6403,
532,
3425,
81,
47966,
7611,
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
] | [
818,
644,
614,
373,
1529,
64,
6403,
532,
3425,
81,
47966,
7611,
4920,
30,
46506,
35683,
7203,
36,
19282,
4943,
16034,
3084,
62,
1065,
38380,
33411,
366,
38951,
393,
25005,
6530,
1,
796,
705,
7697,
6403,
532,
3425,
81,
47966,
7611,
6
] |
what is death status of subject id 83678? | SELECT demographic.expire_flag FROM demographic WHERE demographic.subject_id = "83678" | [
10919,
318,
1918,
3722,
286,
2426,
4686,
807,
2623,
3695,
30,
46506,
16728,
13,
1069,
5111,
62,
32109,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
23,
2623,
3695,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
1918,
3722,
286,
2426,
4686,
807,
2623,
3695,
30,
46506,
16728,
13,
1069,
5111,
62,
32109,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
23,
2623,
3695,
1
] |
What Name has the Location of Bayswater? | SELECT "Name" FROM table_64645 WHERE "Location" = 'bayswater' | [
2061,
6530,
468,
262,
13397,
286,
347,
592,
7050,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
27720,
2231,
33411,
366,
14749,
1,
796,
705,
65,
592,
7050,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
6530,
468,
262,
13397,
286,
347,
592,
7050,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
27720,
2231,
33411,
366,
14749,
1,
796,
705,
65,
592,
7050,
6
] |
Who is the 92.5 with the press 282.5? | SELECT "92.5" FROM table_8025 WHERE "Press" = '282.5' | [
8241,
318,
262,
10190,
13,
20,
351,
262,
1803,
41810,
13,
20,
30,
46506,
366,
5892,
13,
20,
1,
16034,
3084,
62,
1795,
1495,
33411,
366,
13800,
1,
796,
705,
32568,
13,
20,
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
] | [
8241,
318,
262,
10190,
13,
20,
351,
262,
1803,
41810,
13,
20,
30,
46506,
366,
5892,
13,
20,
1,
16034,
3084,
62,
1795,
1495,
33411,
366,
13800,
1,
796,
705,
32568,
13,
20,
6
] |
what is the number of patients whose death status is 1 and drug name is ondansetron odt? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Ondansetron ODT" | [
10919,
318,
262,
1271,
286,
3871,
3025,
1918,
3722,
318,
352,
290,
2563,
1438,
318,
319,
67,
504,
316,
1313,
16298,
83,
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,
1069,
5111,
62,
32109,
796,
366,
16,
1,
5357,
34092,
13,
30349,
796,
366,
46,
358,
504,
316,
1313,
440,
24544,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1918,
3722,
318,
352,
290,
2563,
1438,
318,
319,
67,
504,
316,
1313,
16298,
83,
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,
1069,
5111,
62,
32109,
796,
366,
16,
1,
5357,
34092,
13,
30349,
796,
366,
46,
358,
504,
316,
1313,
440,
24544,
1
] |
Name the Place with a Score of 72-68=140? | SELECT place FROM table_name_83 WHERE score = 72 - 68 = 140 | [
5376,
262,
8474,
351,
257,
15178,
286,
7724,
12,
3104,
28,
15187,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
5999,
33411,
4776,
796,
7724,
532,
8257,
796,
12713
] | [
1,
1,
1,
1,
1,
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,
8474,
351,
257,
15178,
286,
7724,
12,
3104,
28,
15187,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
5999,
33411,
4776,
796,
7724,
532,
8257,
796,
12713
] |
Show different locations and the number of performances at each location Visualize by bar chart, display the total number from low to high order. | SELECT Location, COUNT(*) FROM performance GROUP BY Location ORDER BY COUNT(*) | [
15307,
1180,
7064,
290,
262,
1271,
286,
13289,
379,
1123,
4067,
15612,
1096,
416,
2318,
8262,
11,
3359,
262,
2472,
1271,
422,
1877,
284,
1029,
1502,
13,
46506,
13397,
11,
327,
28270,
7,
28104,
16034,
2854,
44441,
11050,
13397,
38678,
11050,
327,
28270,
7,
28104
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
1180,
7064,
290,
262,
1271,
286,
13289,
379,
1123,
4067,
15612,
1096,
416,
2318,
8262,
11,
3359,
262,
2472,
1271,
422,
1877,
284,
1029,
1502,
13,
46506,
13397,
11,
327,
28270,
7,
28104,
16034,
2854,
44441,
11050,
13397,
38678,
11050,
327,
28270,
7,
28104
] |
Questions for Bumping by Community. | WITH Questions AS (SELECT Id, PostTypeId FROM Posts WHERE PostTypeId = 1 AND LastActivityDate <= DATEADD(day, -30, GETDATE()) AND AnswerCount != 0), AnswerScore AS (SELECT ParentId, MAX(Score) AS MaxScore FROM Posts WHERE PostTypeId = 2 GROUP BY ParentId), TotalQuestions AS (SELECT PostTypeId, COUNT(*) AS Total FROM Posts WHERE PostTypeId = 1 AND CreationDate <= DATEADD(day, -30, GETDATE()) GROUP BY PostTypeId) SELECT Id AS "post_link" FROM Questions AS q JOIN AnswerScore AS a ON q.Id = a.ParentId JOIN TotalQuestions AS t ON q.PostTypeId = t.PostTypeId WHERE a.MaxScore = 0 | [
35741,
329,
347,
25218,
416,
8108,
13,
54,
10554,
20396,
7054,
357,
46506,
5121,
11,
2947,
6030,
7390,
16034,
12043,
33411,
2947,
6030,
7390,
796,
352,
5357,
4586,
16516,
10430,
19841,
360,
6158,
29266,
7,
820,
11,
532,
1270,
11,
17151,
35,
6158,
28955,
5357,
23998,
12332,
14512,
657,
828,
23998,
26595,
7054,
357,
46506,
16774,
7390,
11,
25882,
7,
26595,
8,
7054,
5436,
26595,
16034,
12043,
33411,
2947,
6030,
7390,
796,
362,
44441,
11050,
16774,
7390,
828,
7472,
35741,
7054,
357,
46506,
2947,
6030,
7390,
11,
327,
28270,
7,
28104,
7054,
7472,
16034,
12043,
33411,
2947,
6030,
7390,
796
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
35741,
329,
347,
25218,
416,
8108,
13,
54,
10554,
20396,
7054,
357,
46506,
5121,
11,
2947,
6030,
7390,
16034,
12043,
33411,
2947,
6030,
7390,
796,
352,
5357,
4586,
16516,
10430,
19841,
360,
6158,
29266,
7,
820,
11,
532,
1270,
11,
17151,
35,
6158,
28955,
5357,
23998,
12332,
14512,
657,
828,
23998,
26595,
7054,
357,
46506,
16774,
7390,
11,
25882,
7,
26595,
8,
7054,
5436,
26595,
16034,
12043,
33411,
2947,
6030,
7390,
796,
362,
44441,
11050,
16774,
7390,
828,
7472,
35741,
7054,
357,
46506,
2947,
6030,
7390,
11,
327,
28270,
7,
28104,
7054,
7472,
16034,
12043,
33411,
2947,
6030,
7390,
796
] |
If the equation is 6 9 + 6 9 + 6, what is the 3rd throw? | SELECT MAX(3 AS rd_throw) FROM table_17265535_7 WHERE equation = "6 × 9² + 6 × 9 + 6" | [
1532,
262,
16022,
318,
718,
860,
1343,
718,
860,
1343,
718,
11,
644,
318,
262,
513,
4372,
3714,
30,
46506,
25882,
7,
18,
7054,
374,
67,
62,
16939,
8,
16034,
3084,
62,
1558,
2075,
2816,
2327,
62,
22,
33411,
16022,
796,
366,
21,
13958,
860,
31185,
1343,
718,
13958,
860,
1343,
718,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1532,
262,
16022,
318,
718,
860,
1343,
718,
860,
1343,
718,
11,
644,
318,
262,
513,
4372,
3714,
30,
46506,
25882,
7,
18,
7054,
374,
67,
62,
16939,
8,
16034,
3084,
62,
1558,
2075,
2816,
2327,
62,
22,
33411,
16022,
796,
366,
21,
13958,
860,
31185,
1343,
718,
13958,
860,
1343,
718,
1
] |
If the hometown is Omuthiya, what is the contestant name? | SELECT "Contestant" FROM table_26166 WHERE "Hometown" = 'Omuthiya' | [
1532,
262,
20994,
318,
16543,
1071,
21008,
11,
644,
318,
262,
44047,
1438,
30,
46506,
366,
4264,
395,
415,
1,
16034,
3084,
62,
2075,
23055,
33411,
366,
39,
19191,
1,
796,
705,
46,
76,
1071,
21008,
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
] | [
1532,
262,
20994,
318,
16543,
1071,
21008,
11,
644,
318,
262,
44047,
1438,
30,
46506,
366,
4264,
395,
415,
1,
16034,
3084,
62,
2075,
23055,
33411,
366,
39,
19191,
1,
796,
705,
46,
76,
1071,
21008,
6
] |
who won by a score of 4-1? | SELECT "Winning Team" FROM table_78105 WHERE "Score" = '4-1' | [
8727,
1839,
416,
257,
4776,
286,
604,
12,
16,
30,
46506,
366,
16643,
768,
4816,
1,
16034,
3084,
62,
3695,
13348,
33411,
366,
26595,
1,
796,
705,
19,
12,
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
] | [
8727,
1839,
416,
257,
4776,
286,
604,
12,
16,
30,
46506,
366,
16643,
768,
4816,
1,
16034,
3084,
62,
3695,
13348,
33411,
366,
26595,
1,
796,
705,
19,
12,
16,
6
] |
Stack Overflow questions with outstanding close votes (PHP Tag). A list of Stack Overflow questions with outstanding close votes, sorted by number of votes. | SELECT * FROM (SELECT Posts.Id AS "post_link", AVG(Posts.Score) AS "score", COUNT(*) AS "close_votes", MAX(Votes.CreationDate) AS "last_vote", MIN(Votes.CreationDate) AS "first_vote" FROM Posts INNER JOIN Votes ON Posts.Id = Votes.PostId WHERE Votes.VoteTypeId = 6 AND Posts.ClosedDate IS NULL AND Posts.Tags LIKE '%<php>%' GROUP BY Posts.Id) AS Myview WHERE 'close_votes' > 3 ORDER BY 'last_vote' DESC, 'score', 'close_votes' DESC | [
25896,
3827,
11125,
2683,
351,
11660,
1969,
5690,
357,
11909,
47,
17467,
737,
317,
1351,
286,
23881,
3827,
11125,
2683,
351,
11660,
1969,
5690,
11,
23243,
416,
1271,
286,
5690,
13,
46506,
1635,
16034,
357,
46506,
12043,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
35224,
7,
21496,
13,
26595,
8,
7054,
366,
26675,
1600,
327,
28270,
7,
28104,
7054,
366,
19836,
62,
29307,
1600,
25882,
7,
53,
6421,
13,
12443,
341,
10430,
8,
7054,
366,
12957,
62,
27257,
1600,
20625,
7,
53,
6421,
13,
12443,
341,
10430,
8,
7054,
366,
11085,
62,
27257,
1,
16034,
12043,
3268,
21479,
32357
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
25896,
3827,
11125,
2683,
351,
11660,
1969,
5690,
357,
11909,
47,
17467,
737,
317,
1351,
286,
23881,
3827,
11125,
2683,
351,
11660,
1969,
5690,
11,
23243,
416,
1271,
286,
5690,
13,
46506,
1635,
16034,
357,
46506,
12043,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
35224,
7,
21496,
13,
26595,
8,
7054,
366,
26675,
1600,
327,
28270,
7,
28104,
7054,
366,
19836,
62,
29307,
1600,
25882,
7,
53,
6421,
13,
12443,
341,
10430,
8,
7054,
366,
12957,
62,
27257,
1600,
20625,
7,
53,
6421,
13,
12443,
341,
10430,
8,
7054,
366,
11085,
62,
27257,
1,
16034,
12043,
3268,
21479,
32357
] |
What was the score when Richmond was the opponent? | SELECT score FROM table_name_45 WHERE opponent = "richmond" | [
2061,
373,
262,
4776,
618,
16940,
373,
262,
6125,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2231,
33411,
6125,
796,
366,
7527,
6327,
1
] | [
1,
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,
618,
16940,
373,
262,
6125,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2231,
33411,
6125,
796,
366,
7527,
6327,
1
] |
Plot a bar with the total number across each rank | SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank | [
43328,
257,
2318,
351,
262,
2472,
1271,
1973,
1123,
4279,
46506,
10916,
11,
327,
28270,
7,
27520,
8,
16034,
35262,
44441,
11050,
10916
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
43328,
257,
2318,
351,
262,
2472,
1271,
1973,
1123,
4279,
46506,
10916,
11,
327,
28270,
7,
27520,
8,
16034,
35262,
44441,
11050,
10916
] |
has patient 030-8973 been given any fat emulsion 20% intake in 12/last year? | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-8973')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'fat emulsion 20%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', intakeoutput.intakeoutputtime) = '12' | [
10134,
5827,
657,
1270,
12,
4531,
4790,
587,
1813,
597,
3735,
795,
15204,
1160,
4,
10337,
287,
1105,
14,
12957,
614,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
39101,
12,
4531,
4790,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
600,
539,
4,
6,
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
] | [
10134,
5827,
657,
1270,
12,
4531,
4790,
587,
1813,
597,
3735,
795,
15204,
1160,
4,
10337,
287,
1105,
14,
12957,
614,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
39101,
12,
4531,
4790,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
600,
539,
4,
6,
5357
] |
What is the Wins of the Top-25 of 1 and 7 Events? | SELECT wins FROM table_name_66 WHERE top_25 = 1 AND events = 7 | [
2061,
318,
262,
24423,
286,
262,
5849,
12,
1495,
286,
352,
290,
767,
18715,
30,
46506,
7864,
16034,
3084,
62,
3672,
62,
2791,
33411,
1353,
62,
1495,
796,
352,
5357,
2995,
796,
767
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
24423,
286,
262,
5849,
12,
1495,
286,
352,
290,
767,
18715,
30,
46506,
7864,
16034,
3084,
62,
3672,
62,
2791,
33411,
1353,
62,
1495,
796,
352,
5357,
2995,
796,
767
] |
Who is the opponent with a 0-1 record? | SELECT "Opponent" FROM table_61355 WHERE "Record" = '0-1' | [
8241,
318,
262,
6125,
351,
257,
657,
12,
16,
1700,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
47512,
2816,
33411,
366,
23739,
1,
796,
705,
15,
12,
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
] | [
8241,
318,
262,
6125,
351,
257,
657,
12,
16,
1700,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
47512,
2816,
33411,
366,
23739,
1,
796,
705,
15,
12,
16,
6
] |
What was the venue of the match where team 2 was pea and the score was 1:3? | SELECT venue FROM table_name_59 WHERE team_2 = "pea" AND score = "1:3" | [
2061,
373,
262,
14359,
286,
262,
2872,
810,
1074,
362,
373,
613,
64,
290,
262,
4776,
373,
352,
25,
18,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
3270,
33411,
1074,
62,
17,
796,
366,
431,
64,
1,
5357,
4776,
796,
366,
16,
25,
18,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
14359,
286,
262,
2872,
810,
1074,
362,
373,
613,
64,
290,
262,
4776,
373,
352,
25,
18,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
3270,
33411,
1074,
62,
17,
796,
366,
431,
64,
1,
5357,
4776,
796,
366,
16,
25,
18,
1
] |
among patients that were prescribed with buminate, what are the three most frequently prescribed drugs at the same time a year before? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'buminate' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3 | [
35131,
3871,
326,
547,
14798,
351,
39564,
4559,
11,
644,
389,
262,
1115,
749,
6777,
14798,
5010,
379,
262,
976,
640,
257,
614,
878,
30,
46506,
256,
18,
13,
30349,
3672,
16034,
357,
46506,
256,
17,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
5827,
13,
403,
1557,
538,
312,
11,
14103,
13,
30349,
9688,
2435,
16034,
14103,
32357,
1268,
5827,
6177,
14103,
13,
26029,
20850,
31712,
312,
796,
5827,
13,
26029,
20850,
31712,
312,
33411,
14103,
13,
30349,
3672
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
35131,
3871,
326,
547,
14798,
351,
39564,
4559,
11,
644,
389,
262,
1115,
749,
6777,
14798,
5010,
379,
262,
976,
640,
257,
614,
878,
30,
46506,
256,
18,
13,
30349,
3672,
16034,
357,
46506,
256,
17,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
5827,
13,
403,
1557,
538,
312,
11,
14103,
13,
30349,
9688,
2435,
16034,
14103,
32357,
1268,
5827,
6177,
14103,
13,
26029,
20850,
31712,
312,
796,
5827,
13,
26029,
20850,
31712,
312,
33411,
14103,
13,
30349,
3672
] |
What event did Pakistan get the bronze medal at the 1988 Seoul Games? | SELECT "Event" FROM table_6150 WHERE "Medal" = 'bronze' AND "Games" = '1988 seoul' | [
2061,
1785,
750,
7648,
651,
262,
22101,
18279,
379,
262,
12122,
22372,
5776,
30,
46506,
366,
9237,
1,
16034,
3084,
62,
5333,
1120,
33411,
366,
9921,
282,
1,
796,
705,
65,
1313,
2736,
6,
5357,
366,
24474,
1,
796,
705,
26709,
384,
2852,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1785,
750,
7648,
651,
262,
22101,
18279,
379,
262,
12122,
22372,
5776,
30,
46506,
366,
9237,
1,
16034,
3084,
62,
5333,
1120,
33411,
366,
9921,
282,
1,
796,
705,
65,
1313,
2736,
6,
5357,
366,
24474,
1,
796,
705,
26709,
384,
2852,
6
] |
Give me a bar chart that the X-axis is the date_moved_in and the Y-axis is Count them, please bin X-axis into Day of Week interval. | SELECT date_moved_in, COUNT(date_moved_in) FROM Customer_Events | [
23318,
502,
257,
2318,
8262,
326,
262,
1395,
12,
22704,
318,
262,
3128,
62,
76,
2668,
62,
259,
290,
262,
575,
12,
22704,
318,
2764,
606,
11,
3387,
9874,
1395,
12,
22704,
656,
3596,
286,
6119,
16654,
13,
46506,
3128,
62,
76,
2668,
62,
259,
11,
327,
28270,
7,
4475,
62,
76,
2668,
62,
259,
8,
16034,
22092,
62,
37103
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
502,
257,
2318,
8262,
326,
262,
1395,
12,
22704,
318,
262,
3128,
62,
76,
2668,
62,
259,
290,
262,
575,
12,
22704,
318,
2764,
606,
11,
3387,
9874,
1395,
12,
22704,
656,
3596,
286,
6119,
16654,
13,
46506,
3128,
62,
76,
2668,
62,
259,
11,
327,
28270,
7,
4475,
62,
76,
2668,
62,
259,
8,
16034,
22092,
62,
37103
] |
What year has a nomination title of 'sangrador'? | SELECT "Year (Ceremony)" FROM table_60580 WHERE "Film title used in nomination" = 'sangrador' | [
2061,
614,
468,
257,
11872,
3670,
286,
705,
82,
648,
40368,
30960,
46506,
366,
17688,
357,
34,
567,
9926,
16725,
16034,
3084,
62,
32417,
1795,
33411,
366,
39750,
3670,
973,
287,
11872,
1,
796,
705,
82,
648,
40368,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
614,
468,
257,
11872,
3670,
286,
705,
82,
648,
40368,
30960,
46506,
366,
17688,
357,
34,
567,
9926,
16725,
16034,
3084,
62,
32417,
1795,
33411,
366,
39750,
3670,
973,
287,
11872,
1,
796,
705,
82,
648,
40368,
6
] |
What is the number of different class sections offered in the course ACCT-211? | SELECT COUNT(DISTINCT class_section) FROM class WHERE crs_code = 'ACCT-211' | [
2061,
318,
262,
1271,
286,
1180,
1398,
9004,
4438,
287,
262,
1781,
15859,
51,
12,
21895,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
1398,
62,
5458,
8,
16034,
1398,
33411,
1067,
82,
62,
8189,
796,
705,
2246,
4177,
12,
21895,
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
] | [
2061,
318,
262,
1271,
286,
1180,
1398,
9004,
4438,
287,
262,
1781,
15859,
51,
12,
21895,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
1398,
62,
5458,
8,
16034,
1398,
33411,
1067,
82,
62,
8189,
796,
705,
2246,
4177,
12,
21895,
6
] |
How many trips started from Mountain View city and ended at Palo Alto city? | SELECT COUNT(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto" | [
2437,
867,
13229,
2067,
422,
9638,
3582,
1748,
290,
4444,
379,
44878,
34317,
1748,
30,
46506,
327,
28270,
7,
28104,
16034,
4429,
7054,
309,
16,
32357,
1268,
5296,
7054,
309,
17,
32357,
1268,
4429,
7054,
309,
18,
32357,
1268,
5296,
7054,
309,
19,
6177,
309,
16,
13,
312,
796,
309,
17,
13,
9688,
62,
17529,
62,
312,
5357,
309,
17,
13,
312,
796,
309,
19,
13,
312,
5357,
309,
18,
13,
312,
796,
309,
19,
13,
437,
62,
17529,
62,
312,
33411,
309,
16,
13,
19205,
796,
366,
44,
18635,
3582,
1,
5357,
309,
18,
13,
19205,
796,
366,
47
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13229,
2067,
422,
9638,
3582,
1748,
290,
4444,
379,
44878,
34317,
1748,
30,
46506,
327,
28270,
7,
28104,
16034,
4429,
7054,
309,
16,
32357,
1268,
5296,
7054,
309,
17,
32357,
1268,
4429,
7054,
309,
18,
32357,
1268,
5296,
7054,
309,
19,
6177,
309,
16,
13,
312,
796,
309,
17,
13,
9688,
62,
17529,
62,
312,
5357,
309,
17,
13,
312,
796,
309,
19,
13,
312,
5357,
309,
18,
13,
312,
796,
309,
19,
13,
437,
62,
17529,
62,
312,
33411,
309,
16,
13,
19205,
796,
366,
44,
18635,
3582,
1,
5357,
309,
18,
13,
19205,
796,
366,
47
] |
which tournament has the same score outcome as the bergamo tournament ? | SELECT "tournament" FROM table_203_220 WHERE "tournament" <> 'bergamo' AND "score" = (SELECT "score" FROM table_203_220 WHERE "tournament" = 'bergamo') | [
4758,
7756,
468,
262,
976,
4776,
8055,
355,
262,
275,
6422,
18811,
7756,
5633,
46506,
366,
83,
5138,
1,
16034,
3084,
62,
22416,
62,
17572,
33411,
366,
83,
5138,
1,
1279,
29,
705,
3900,
18811,
6,
5357,
366,
26675,
1,
796,
357,
46506,
366,
26675,
1,
16034,
3084,
62,
22416,
62,
17572,
33411,
366,
83,
5138,
1,
796,
705,
3900,
18811,
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
] | [
4758,
7756,
468,
262,
976,
4776,
8055,
355,
262,
275,
6422,
18811,
7756,
5633,
46506,
366,
83,
5138,
1,
16034,
3084,
62,
22416,
62,
17572,
33411,
366,
83,
5138,
1,
1279,
29,
705,
3900,
18811,
6,
5357,
366,
26675,
1,
796,
357,
46506,
366,
26675,
1,
16034,
3084,
62,
22416,
62,
17572,
33411,
366,
83,
5138,
1,
796,
705,
3900,
18811,
11537
] |
Men's singles of kilian pfister, and a Women's doubles of astrid eidenbenz claudia jehle has what average year? | SELECT AVG("Year") FROM table_5887 WHERE "Men's singles" = 'kilian pfister' AND "Women's doubles" = 'astrid eidenbenz claudia jehle' | [
10418,
338,
25287,
286,
8769,
666,
279,
69,
1694,
11,
290,
257,
6926,
338,
21938,
286,
257,
2536,
312,
304,
14029,
11722,
89,
537,
3885,
544,
11223,
71,
293,
468,
644,
2811,
614,
30,
46506,
35224,
7203,
17688,
4943,
16034,
3084,
62,
3365,
5774,
33411,
366,
10418,
338,
25287,
1,
796,
705,
34553,
666,
279,
69,
1694,
6,
5357,
366,
18495,
338,
21938,
1,
796,
705,
459,
6058,
304,
14029,
11722,
89,
537,
3885,
544,
11223,
71,
293,
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
] | [
10418,
338,
25287,
286,
8769,
666,
279,
69,
1694,
11,
290,
257,
6926,
338,
21938,
286,
257,
2536,
312,
304,
14029,
11722,
89,
537,
3885,
544,
11223,
71,
293,
468,
644,
2811,
614,
30,
46506,
35224,
7203,
17688,
4943,
16034,
3084,
62,
3365,
5774,
33411,
366,
10418,
338,
25287,
1,
796,
705,
34553,
666,
279,
69,
1694,
6,
5357,
366,
18495,
338,
21938,
1,
796,
705,
459,
6058,
304,
14029,
11722,
89,
537,
3885,
544,
11223,
71,
293,
6
] |
Which label's year is 1993? | SELECT label FROM table_name_45 WHERE year = "1993" | [
13828,
6167,
338,
614,
318,
9656,
30,
46506,
6167,
16034,
3084,
62,
3672,
62,
2231,
33411,
614,
796,
366,
24465,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
6167,
338,
614,
318,
9656,
30,
46506,
6167,
16034,
3084,
62,
3672,
62,
2231,
33411,
614,
796,
366,
24465,
1
] |
Name the sum of long for avg more than 9.8 with rec less than 5 and yards less than 20 | SELECT SUM(long) FROM table_name_25 WHERE avg > 9.8 AND rec < 5 AND yards < 20 | [
5376,
262,
2160,
286,
890,
329,
42781,
517,
621,
860,
13,
23,
351,
664,
1342,
621,
642,
290,
5695,
1342,
621,
1160,
46506,
35683,
7,
6511,
8,
16034,
3084,
62,
3672,
62,
1495,
33411,
42781,
1875,
860,
13,
23,
5357,
664,
1279,
642,
5357,
5695,
1279,
1160
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
2160,
286,
890,
329,
42781,
517,
621,
860,
13,
23,
351,
664,
1342,
621,
642,
290,
5695,
1342,
621,
1160,
46506,
35683,
7,
6511,
8,
16034,
3084,
62,
3672,
62,
1495,
33411,
42781,
1875,
860,
13,
23,
5357,
664,
1279,
642,
5357,
5695,
1279,
1160
] |
What is the Chassis of the Cooper Car Company after 1965 when the engine was a Maserati v12? | SELECT "Chassis" FROM table_71722 WHERE "Year" > '1965' AND "Team" = 'cooper car company' AND "Engine" = 'maserati v12' | [
2061,
318,
262,
609,
20297,
286,
262,
10382,
1879,
5834,
706,
17672,
618,
262,
3113,
373,
257,
337,
6005,
7246,
410,
1065,
30,
46506,
366,
1925,
20297,
1,
16034,
3084,
62,
22,
1558,
1828,
33411,
366,
17688,
1,
1875,
705,
45271,
6,
5357,
366,
15592,
1,
796,
705,
1073,
3575,
1097,
1664,
6,
5357,
366,
13798,
1,
796,
705,
5356,
263,
7246,
410,
1065,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
609,
20297,
286,
262,
10382,
1879,
5834,
706,
17672,
618,
262,
3113,
373,
257,
337,
6005,
7246,
410,
1065,
30,
46506,
366,
1925,
20297,
1,
16034,
3084,
62,
22,
1558,
1828,
33411,
366,
17688,
1,
1875,
705,
45271,
6,
5357,
366,
15592,
1,
796,
705,
1073,
3575,
1097,
1664,
6,
5357,
366,
13798,
1,
796,
705,
5356,
263,
7246,
410,
1065,
6
] |
had patient 24921 ever had promote 2/3 strength output on their first hospital visit? | 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 = 24921 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'promote 2/3 strength' AND d_items.linksto = 'outputevents') | [
18108,
5827,
34620,
2481,
1683,
550,
7719,
362,
14,
18,
4202,
5072,
319,
511,
717,
4436,
3187,
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,
34620,
2481,
5357,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
38678,
11050,
25349,
13,
324
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
34620,
2481,
1683,
550,
7719,
362,
14,
18,
4202,
5072,
319,
511,
717,
4436,
3187,
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,
34620,
2481,
5357,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
38678,
11050,
25349,
13,
324
] |
what is the maximum age of patients of white ethnicity who stayed in hospital for 5 days? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.days_stay = "5" | [
10919,
318,
262,
5415,
2479,
286,
3871,
286,
2330,
26289,
508,
9658,
287,
4436,
329,
642,
1528,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1,
5357,
16728,
13,
12545,
62,
31712,
796,
366,
20,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
5415,
2479,
286,
3871,
286,
2330,
26289,
508,
9658,
287,
4436,
329,
642,
1528,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1,
5357,
16728,
13,
12545,
62,
31712,
796,
366,
20,
1
] |
give the number of patients who have died in or before year 2165 and whose procedure long title is initial insertion of transvenous leads (electrodes) into atrium and ventricle. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2165.0" AND procedures.long_title = "Initial insertion of transvenous leads [electrodes] into atrium and ventricle" | [
26535,
262,
1271,
286,
3871,
508,
423,
3724,
287,
393,
878,
614,
362,
20986,
290,
3025,
8771,
890,
3670,
318,
4238,
36075,
286,
1007,
574,
516,
5983,
357,
9509,
305,
8906,
8,
656,
379,
19172,
290,
7435,
1173,
293,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
67,
375,
62,
1941,
19841,
366,
20666,
20,
13,
15,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
24243,
36075,
286
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
262,
1271,
286,
3871,
508,
423,
3724,
287,
393,
878,
614,
362,
20986,
290,
3025,
8771,
890,
3670,
318,
4238,
36075,
286,
1007,
574,
516,
5983,
357,
9509,
305,
8906,
8,
656,
379,
19172,
290,
7435,
1173,
293,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
67,
375,
62,
1941,
19841,
366,
20666,
20,
13,
15,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
24243,
36075,
286
] |
Find the average number of factories for the manufacturers that have more than 20 shops. | SELECT AVG(num_of_factories) FROM manufacturer WHERE num_of_shops > 20 | [
16742,
262,
2811,
1271,
286,
17590,
329,
262,
11372,
326,
423,
517,
621,
1160,
12437,
13,
46506,
35224,
7,
22510,
62,
1659,
62,
22584,
1749,
8,
16034,
11554,
33411,
997,
62,
1659,
62,
1477,
2840,
1875,
1160
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
2811,
1271,
286,
17590,
329,
262,
11372,
326,
423,
517,
621,
1160,
12437,
13,
46506,
35224,
7,
22510,
62,
1659,
62,
22584,
1749,
8,
16034,
11554,
33411,
997,
62,
1659,
62,
1477,
2840,
1875,
1160
] |
A bar chart for what are the number of the payment dates for any payments that have an amount greater than 10 or were handled by a staff member with the first name Elsa?, and I want to display by the Y in descending. | SELECT payment_date, COUNT(payment_date) FROM payment WHERE amount > 10 UNION SELECT T1.payment_date FROM payment AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Elsa' ORDER BY COUNT(payment_date) DESC | [
32,
2318,
8262,
329,
644,
389,
262,
1271,
286,
262,
6074,
9667,
329,
597,
7524,
326,
423,
281,
2033,
3744,
621,
838,
393,
547,
12118,
416,
257,
3085,
2888,
351,
262,
717,
1438,
19226,
21747,
290,
314,
765,
284,
3359,
416,
262,
575,
287,
31491,
13,
46506,
6074,
62,
4475,
11,
327,
28270,
7,
37301,
62,
4475,
8,
16034,
6074,
33411,
2033,
1875,
838,
4725,
2849,
33493,
309,
16,
13,
37301,
62,
4475,
16034,
6074,
7054,
309,
16,
32357,
1268,
3085,
7054,
309,
17,
6177,
309,
16,
13,
28120,
62,
312,
796,
309,
17,
13,
28120,
62,
312,
33411,
309
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
32,
2318,
8262,
329,
644,
389,
262,
1271,
286,
262,
6074,
9667,
329,
597,
7524,
326,
423,
281,
2033,
3744,
621,
838,
393,
547,
12118,
416,
257,
3085,
2888,
351,
262,
717,
1438,
19226,
21747,
290,
314,
765,
284,
3359,
416,
262,
575,
287,
31491,
13,
46506,
6074,
62,
4475,
11,
327,
28270,
7,
37301,
62,
4475,
8,
16034,
6074,
33411,
2033,
1875,
838,
4725,
2849,
33493,
309,
16,
13,
37301,
62,
4475,
16034,
6074,
7054,
309,
16,
32357,
1268,
3085,
7054,
309,
17,
6177,
309,
16,
13,
28120,
62,
312,
796,
309,
17,
13,
28120,
62,
312,
33411,
309
] |
When was Windy Hill used as a venue? | SELECT "Date" FROM table_54457 WHERE "Venue" = 'windy hill' | [
2215,
373,
3086,
88,
3327,
973,
355,
257,
14359,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
4051,
33032,
33411,
366,
37522,
518,
1,
796,
705,
7972,
88,
12788,
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
] | [
2215,
373,
3086,
88,
3327,
973,
355,
257,
14359,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
4051,
33032,
33411,
366,
37522,
518,
1,
796,
705,
7972,
88,
12788,
6
] |
What are the denominations used by both schools founded before 1890 and schools founded after 1900? | SELECT denomination FROM school WHERE founded < 1890 INTERSECT SELECT denomination FROM school WHERE founded > 1900 | [
2061,
389,
262,
49735,
973,
416,
1111,
4266,
9393,
878,
31982,
290,
4266,
9393,
706,
21489,
30,
46506,
47491,
16034,
1524,
33411,
9393,
1279,
31982,
17828,
4877,
9782,
33493,
47491,
16034,
1524,
33411,
9393,
1875,
21489
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
49735,
973,
416,
1111,
4266,
9393,
878,
31982,
290,
4266,
9393,
706,
21489,
30,
46506,
47491,
16034,
1524,
33411,
9393,
1279,
31982,
17828,
4877,
9782,
33493,
47491,
16034,
1524,
33411,
9393,
1875,
21489
] |
what is the least number of stumps in a game with 13 dismissals | SELECT MIN("Stumped") FROM table_23380 WHERE "Dismissals" = '13' | [
10919,
318,
262,
1551,
1271,
286,
336,
8142,
287,
257,
983,
351,
1511,
6735,
874,
46506,
20625,
7203,
1273,
27073,
4943,
16034,
3084,
62,
1954,
23734,
33411,
366,
35,
1042,
747,
874,
1,
796,
705,
1485,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
1551,
1271,
286,
336,
8142,
287,
257,
983,
351,
1511,
6735,
874,
46506,
20625,
7203,
1273,
27073,
4943,
16034,
3084,
62,
1954,
23734,
33411,
366,
35,
1042,
747,
874,
1,
796,
705,
1485,
6
] |
What class is the verb wich its part 3 is heldu | SELECT class FROM table_1745843_10 WHERE part_3 = "heldu" | [
2061,
1398,
318,
262,
15942,
266,
488,
663,
636,
513,
318,
2714,
84,
46506,
1398,
16034,
3084,
62,
1558,
29334,
3559,
62,
940,
33411,
636,
62,
18,
796,
366,
10217,
84,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
1398,
318,
262,
15942,
266,
488,
663,
636,
513,
318,
2714,
84,
46506,
1398,
16034,
3084,
62,
1558,
29334,
3559,
62,
940,
33411,
636,
62,
18,
796,
366,
10217,
84,
1
] |
What sensor has a resolution of 640x480 with small CPU usage, jpeg compressed output and a camera of sony playstation eyetoy? | SELECT sensor FROM table_name_21 WHERE sensor_resolution = "640x480" AND cpu_usage = "small" AND output = "jpeg compressed" AND camera = "sony playstation eyetoy" | [
2061,
12694,
468,
257,
6323,
286,
33759,
87,
22148,
351,
1402,
9135,
8748,
11,
474,
22071,
25388,
5072,
290,
257,
4676,
286,
264,
1647,
711,
17529,
1926,
316,
726,
30,
46506,
12694,
16034,
3084,
62,
3672,
62,
2481,
33411,
12694,
62,
29268,
796,
366,
31102,
87,
22148,
1,
5357,
42804,
62,
26060,
796,
366,
17470,
1,
5357,
5072,
796,
366,
73,
22071,
25388,
1,
5357,
4676,
796,
366,
1559,
88,
711,
17529,
1926,
316,
726,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12694,
468,
257,
6323,
286,
33759,
87,
22148,
351,
1402,
9135,
8748,
11,
474,
22071,
25388,
5072,
290,
257,
4676,
286,
264,
1647,
711,
17529,
1926,
316,
726,
30,
46506,
12694,
16034,
3084,
62,
3672,
62,
2481,
33411,
12694,
62,
29268,
796,
366,
31102,
87,
22148,
1,
5357,
42804,
62,
26060,
796,
366,
17470,
1,
5357,
5072,
796,
366,
73,
22071,
25388,
1,
5357,
4676,
796,
366,
1559,
88,
711,
17529,
1926,
316,
726,
1
] |
what is the marital status of the paient named steven sepulveda? | SELECT demographic.marital_status FROM demographic WHERE demographic.name = "Steven Sepulveda" | [
10919,
318,
262,
29555,
3722,
286,
262,
14187,
1153,
3706,
2876,
574,
41767,
377,
1079,
64,
30,
46506,
16728,
13,
3876,
1287,
62,
13376,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
28292,
8621,
377,
1079,
64,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
29555,
3722,
286,
262,
14187,
1153,
3706,
2876,
574,
41767,
377,
1079,
64,
30,
46506,
16728,
13,
3876,
1287,
62,
13376,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
28292,
8621,
377,
1079,
64,
1
] |
WHAT IS THE Ceased to be Duke of Girona THAT HAS PETER IV? | SELECT ceased_to_be_duke_of_girona FROM table_name_91 WHERE heir_of = "peter iv" | [
32971,
3180,
3336,
20101,
839,
284,
307,
11083,
286,
402,
1934,
64,
14603,
33930,
32043,
1137,
8363,
30,
46506,
24368,
62,
1462,
62,
1350,
62,
646,
365,
62,
1659,
62,
70,
1934,
64,
16034,
3084,
62,
3672,
62,
6420,
33411,
28625,
62,
1659,
796,
366,
79,
2357,
21628,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
32971,
3180,
3336,
20101,
839,
284,
307,
11083,
286,
402,
1934,
64,
14603,
33930,
32043,
1137,
8363,
30,
46506,
24368,
62,
1462,
62,
1350,
62,
646,
365,
62,
1659,
62,
70,
1934,
64,
16034,
3084,
62,
3672,
62,
6420,
33411,
28625,
62,
1659,
796,
366,
79,
2357,
21628,
1
] |
What is the phone and email for customer with first name Aniyah and last name Feest? | SELECT customer_phone, customer_email FROM customers WHERE customer_first_name = "Aniyah" AND customer_last_name = "Feest" | [
2061,
318,
262,
3072,
290,
3053,
329,
6491,
351,
717,
1438,
1052,
46398,
290,
938,
1438,
5452,
395,
30,
46506,
6491,
62,
4862,
11,
6491,
62,
12888,
16034,
4297,
33411,
6491,
62,
11085,
62,
3672,
796,
366,
2025,
46398,
1,
5357,
6491,
62,
12957,
62,
3672,
796,
366,
14304,
395,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3072,
290,
3053,
329,
6491,
351,
717,
1438,
1052,
46398,
290,
938,
1438,
5452,
395,
30,
46506,
6491,
62,
4862,
11,
6491,
62,
12888,
16034,
4297,
33411,
6491,
62,
11085,
62,
3672,
796,
366,
2025,
46398,
1,
5357,
6491,
62,
12957,
62,
3672,
796,
366,
14304,
395,
1
] |
Where was the fight located that lasted a time of 2:33? | SELECT "Location" FROM table_44680 WHERE "Time" = '2:33' | [
8496,
373,
262,
1907,
5140,
326,
15436,
257,
640,
286,
362,
25,
2091,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
27260,
1795,
33411,
366,
7575,
1,
796,
705,
17,
25,
2091,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8496,
373,
262,
1907,
5140,
326,
15436,
257,
640,
286,
362,
25,
2091,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
27260,
1795,
33411,
366,
7575,
1,
796,
705,
17,
25,
2091,
6
] |
Which Sub-Parish has a church built in 1866? | SELECT sub_parish__sokn_ FROM table_name_19 WHERE year_built = "1866" | [
13828,
3834,
12,
10044,
680,
468,
257,
4928,
3170,
287,
1248,
2791,
30,
46506,
850,
62,
1845,
680,
834,
82,
482,
77,
62,
16034,
3084,
62,
3672,
62,
1129,
33411,
614,
62,
18780,
796,
366,
1507,
2791,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3834,
12,
10044,
680,
468,
257,
4928,
3170,
287,
1248,
2791,
30,
46506,
850,
62,
1845,
680,
834,
82,
482,
77,
62,
16034,
3084,
62,
3672,
62,
1129,
33411,
614,
62,
18780,
796,
366,
1507,
2791,
1
] |
What is the average year to begin making autos for a brand that joined GM in 1917? | SELECT AVG(year_began_making_autos) FROM table_name_30 WHERE year_joined_gm = 1917 | [
2061,
318,
262,
2811,
614,
284,
2221,
1642,
44619,
329,
257,
4508,
326,
5399,
6951,
287,
24168,
30,
46506,
35224,
7,
1941,
62,
1350,
1030,
62,
8601,
62,
2306,
418,
8,
16034,
3084,
62,
3672,
62,
1270,
33411,
614,
62,
46416,
62,
39870,
796,
24168
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
614,
284,
2221,
1642,
44619,
329,
257,
4508,
326,
5399,
6951,
287,
24168,
30,
46506,
35224,
7,
1941,
62,
1350,
1030,
62,
8601,
62,
2306,
418,
8,
16034,
3084,
62,
3672,
62,
1270,
33411,
614,
62,
46416,
62,
39870,
796,
24168
] |
Which Start has a Qual of 207.590? | SELECT "Start" FROM table_13658 WHERE "Qual" = '207.590' | [
13828,
7253,
468,
257,
9537,
286,
27791,
13,
36993,
30,
46506,
366,
10434,
1,
16034,
3084,
62,
1485,
38431,
33411,
366,
46181,
1,
796,
705,
22745,
13,
36993,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
7253,
468,
257,
9537,
286,
27791,
13,
36993,
30,
46506,
366,
10434,
1,
16034,
3084,
62,
1485,
38431,
33411,
366,
46181,
1,
796,
705,
22745,
13,
36993,
6
] |
What is the League with a Year that is 1990/91? | SELECT league FROM table_name_64 WHERE year = "1990/91" | [
2061,
318,
262,
4041,
351,
257,
6280,
326,
318,
6303,
14,
6420,
30,
46506,
4652,
16034,
3084,
62,
3672,
62,
2414,
33411,
614,
796,
366,
19891,
14,
6420,
1
] | [
1,
1,
1,
1,
1,
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,
4041,
351,
257,
6280,
326,
318,
6303,
14,
6420,
30,
46506,
4652,
16034,
3084,
62,
3672,
62,
2414,
33411,
614,
796,
366,
19891,
14,
6420,
1
] |
What shows for 2005 when 2002 shows 0 1? | SELECT 2005 FROM table_name_16 WHERE 2002 = "0–1" | [
2061,
2523,
329,
5075,
618,
6244,
2523,
657,
352,
30,
46506,
5075,
16034,
3084,
62,
3672,
62,
1433,
33411,
6244,
796,
366,
15,
1906,
16,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
2523,
329,
5075,
618,
6244,
2523,
657,
352,
30,
46506,
5075,
16034,
3084,
62,
3672,
62,
1433,
33411,
6244,
796,
366,
15,
1906,
16,
1
] |
what is the sum of attendance of week 11 | SELECT SUM("Attendance") FROM table_4995 WHERE "Week" = '11' | [
10919,
318,
262,
2160,
286,
14858,
286,
1285,
1367,
46506,
35683,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
28324,
20,
33411,
366,
20916,
1,
796,
705,
1157,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
2160,
286,
14858,
286,
1285,
1367,
46506,
35683,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
28324,
20,
33411,
366,
20916,
1,
796,
705,
1157,
6
] |
Which Goals have Apps smaller than 1? | SELECT AVG(goals) FROM table_name_41 WHERE apps < 1 | [
13828,
28510,
423,
27710,
4833,
621,
352,
30,
46506,
35224,
7,
2188,
874,
8,
16034,
3084,
62,
3672,
62,
3901,
33411,
6725,
1279,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
28510,
423,
27710,
4833,
621,
352,
30,
46506,
35224,
7,
2188,
874,
8,
16034,
3084,
62,
3672,
62,
3901,
33411,
6725,
1279,
352
] |
What date was the Home team fitzroy? | SELECT "Date" FROM table_32734 WHERE "Home team" = 'fitzroy' | [
2061,
3128,
373,
262,
5995,
1074,
4197,
89,
3287,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
34159,
2682,
33411,
366,
16060,
1074,
1,
796,
705,
69,
4224,
3287,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
3128,
373,
262,
5995,
1074,
4197,
89,
3287,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
34159,
2682,
33411,
366,
16060,
1074,
1,
796,
705,
69,
4224,
3287,
6
] |
the heartrate of patient 015-91239 last measured on the current icu visit is greater than it was second to last measured on the current icu 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 = '015-91239') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.heartrate IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 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 = '015-91239') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.heartrate IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1 OFFSET 1) | [
1169,
2612,
4873,
286,
5827,
5534,
20,
12,
24,
1065,
2670,
938,
8630,
319,
262,
1459,
14158,
84,
3187,
318,
3744,
621,
340,
373,
1218,
284,
938,
8630,
319,
262,
1459,
14158,
84,
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,
25150,
12,
24
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1169,
2612,
4873,
286,
5827,
5534,
20,
12,
24,
1065,
2670,
938,
8630,
319,
262,
1459,
14158,
84,
3187,
318,
3744,
621,
340,
373,
1218,
284,
938,
8630,
319,
262,
1459,
14158,
84,
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,
25150,
12,
24
] |
Which UK Base has an airborne unit of Pathfinders? | SELECT "UK Base" FROM table_55333 WHERE "Airborne Unit" = 'pathfinders' | [
13828,
3482,
7308,
468,
281,
32726,
4326,
286,
10644,
19796,
364,
30,
46506,
366,
15039,
7308,
1,
16034,
3084,
62,
2816,
20370,
33411,
366,
16170,
13555,
11801,
1,
796,
705,
6978,
19796,
364,
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
] | [
13828,
3482,
7308,
468,
281,
32726,
4326,
286,
10644,
19796,
364,
30,
46506,
366,
15039,
7308,
1,
16034,
3084,
62,
2816,
20370,
33411,
366,
16170,
13555,
11801,
1,
796,
705,
6978,
19796,
364,
6
] |
Which Votes has a Governorate of hewler? | SELECT AVG(votes) FROM table_name_15 WHERE governorate = "hewler" | [
13828,
39584,
468,
257,
10807,
378,
286,
339,
86,
1754,
30,
46506,
35224,
7,
29307,
8,
16034,
3084,
62,
3672,
62,
1314,
33411,
8153,
378,
796,
366,
6391,
1754,
1
] | [
1,
1,
1,
1,
1,
1,
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,
39584,
468,
257,
10807,
378,
286,
339,
86,
1754,
30,
46506,
35224,
7,
29307,
8,
16034,
3084,
62,
3672,
62,
1314,
33411,
8153,
378,
796,
366,
6391,
1754,
1
] |
What is the number of patients admitted before the year 2180 who are on cefazolin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2180" AND prescriptions.drug = "CefazoLIN" | [
2061,
318,
262,
1271,
286,
3871,
6848,
878,
262,
614,
362,
15259,
508,
389,
319,
269,
891,
1031,
24910,
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,
324,
76,
414,
451,
1279,
366,
17,
15259,
1,
5357,
34092,
13,
30349,
796,
366,
34,
891,
44299,
34509,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1271,
286,
3871,
6848,
878,
262,
614,
362,
15259,
508,
389,
319,
269,
891,
1031,
24910,
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,
324,
76,
414,
451,
1279,
366,
17,
15259,
1,
5357,
34092,
13,
30349,
796,
366,
34,
891,
44299,
34509,
1
] |
what drug was the last drug that patient 7375 was prescribed via im route until 62 months ago? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7375) AND prescriptions.route = 'im' AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-62 month') ORDER BY prescriptions.startdate DESC LIMIT 1 | [
10919,
2563,
373,
262,
938,
2563,
326,
5827,
8854,
2425,
373,
14798,
2884,
545,
6339,
1566,
8190,
1933,
2084,
30,
46506,
34092,
13,
30349,
16034,
34092,
33411,
34092,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
8854,
2425,
8,
5357,
34092,
13,
38629,
796,
705,
320,
6,
5357,
360,
1404,
2767,
12789,
7,
18302,
24370,
13,
9688,
4475,
8,
19841,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
5237,
1227,
11537,
38678,
11050,
34092,
13,
9688,
4475,
22196,
34,
27564,
2043
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2563,
373,
262,
938,
2563,
326,
5827,
8854,
2425,
373,
14798,
2884,
545,
6339,
1566,
8190,
1933,
2084,
30,
46506,
34092,
13,
30349,
16034,
34092,
33411,
34092,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
8854,
2425,
8,
5357,
34092,
13,
38629,
796,
705,
320,
6,
5357,
360,
1404,
2767,
12789,
7,
18302,
24370,
13,
9688,
4475,
8,
19841,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
5237,
1227,
11537,
38678,
11050,
34092,
13,
9688,
4475,
22196,
34,
27564,
2043
] |
give me the number of patients whose duration of hospital stay is more than 10 days and discharge location is home. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.days_stay > "10" | [
26535,
502,
262,
1271,
286,
3871,
3025,
9478,
286,
4436,
2652,
318,
517,
621,
838,
1528,
290,
17655,
4067,
318,
1363,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
6381,
10136,
62,
24886,
796,
366,
39069,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
940,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
502,
262,
1271,
286,
3871,
3025,
9478,
286,
4436,
2652,
318,
517,
621,
838,
1528,
290,
17655,
4067,
318,
1363,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
6381,
10136,
62,
24886,
796,
366,
39069,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
940,
1
] |
calculate how many times patient 027-151154 had a enteral meds/ flush intake during this month. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-151154')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'enteral meds/ flush' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | [
9948,
3129,
378,
703,
867,
1661,
5827,
657,
1983,
12,
1314,
1157,
4051,
550,
257,
920,
1691,
1117,
82,
14,
24773,
10337,
1141,
428,
1227,
13,
46506,
327,
28270,
7,
28104,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44698,
12,
1314,
1157,
4051,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
600,
539
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9948,
3129,
378,
703,
867,
1661,
5827,
657,
1983,
12,
1314,
1157,
4051,
550,
257,
920,
1691,
1117,
82,
14,
24773,
10337,
1141,
428,
1227,
13,
46506,
327,
28270,
7,
28104,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44698,
12,
1314,
1157,
4051,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
600,
539
] |
What day did the team play the buffalo bills? | SELECT "Date" FROM table_32285 WHERE "Opponent" = 'buffalo bills' | [
2061,
1110,
750,
262,
1074,
711,
262,
45019,
9024,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
37283,
5332,
33411,
366,
27524,
3471,
1,
796,
705,
36873,
7335,
9024,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1110,
750,
262,
1074,
711,
262,
45019,
9024,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
37283,
5332,
33411,
366,
27524,
3471,
1,
796,
705,
36873,
7335,
9024,
6
] |
provide the number of patients whose year of death is less than or equal to 2122 and item id is 51034? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2122.0" AND lab.itemid = "51034" | [
15234,
485,
262,
1271,
286,
3871,
3025,
614,
286,
1918,
318,
1342,
621,
393,
4961,
284,
362,
18376,
290,
2378,
4686,
318,
35148,
2682,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
16728,
13,
67,
375,
62,
1941,
19841,
366,
17,
18376,
13,
15,
1,
5357,
2248,
13,
9186,
312,
796,
366,
33690,
2682,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
614,
286,
1918,
318,
1342,
621,
393,
4961,
284,
362,
18376,
290,
2378,
4686,
318,
35148,
2682,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
16728,
13,
67,
375,
62,
1941,
19841,
366,
17,
18376,
13,
15,
1,
5357,
2248,
13,
9186,
312,
796,
366,
33690,
2682,
1
] |
What is the real name of the movie about love? | SELECT "Original name" FROM table_15018 WHERE "Film title used in nomination" = 'love' | [
2061,
318,
262,
1103,
1438,
286,
262,
3807,
546,
1842,
30,
46506,
366,
20556,
1438,
1,
16034,
3084,
62,
1314,
29159,
33411,
366,
39750,
3670,
973,
287,
11872,
1,
796,
705,
23205,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1103,
1438,
286,
262,
3807,
546,
1842,
30,
46506,
366,
20556,
1438,
1,
16034,
3084,
62,
1314,
29159,
33411,
366,
39750,
3670,
973,
287,
11872,
1,
796,
705,
23205,
6
] |
What is the position for the university of akron michigan bucks affiliation | SELECT position FROM table_29626583_1 WHERE affiliation = "University of Akron Michigan Bucks" | [
2061,
318,
262,
2292,
329,
262,
6403,
286,
47594,
1313,
285,
488,
5516,
24780,
26218,
46506,
2292,
16034,
3084,
62,
27137,
2075,
46239,
62,
16,
33411,
26218,
796,
366,
21009,
286,
45868,
7055,
29751,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2292,
329,
262,
6403,
286,
47594,
1313,
285,
488,
5516,
24780,
26218,
46506,
2292,
16034,
3084,
62,
27137,
2075,
46239,
62,
16,
33411,
26218,
796,
366,
21009,
286,
45868,
7055,
29751,
1
] |
What South Dakota has Bush of Oklahoma? | SELECT south_dakota FROM table_name_17 WHERE oklahoma = "bush" | [
2061,
2520,
13336,
468,
5511,
286,
10433,
30,
46506,
5366,
62,
67,
461,
4265,
16034,
3084,
62,
3672,
62,
1558,
33411,
12876,
9802,
796,
366,
50231,
1
] | [
1,
1,
1,
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,
2520,
13336,
468,
5511,
286,
10433,
30,
46506,
5366,
62,
67,
461,
4265,
16034,
3084,
62,
3672,
62,
1558,
33411,
12876,
9802,
796,
366,
50231,
1
] |
What college is Pat Thomas from? | SELECT "College" FROM table_62298 WHERE "Name" = 'pat thomas' | [
2061,
4152,
318,
3208,
5658,
422,
30,
46506,
366,
38951,
1,
16034,
3084,
62,
21,
1828,
4089,
33411,
366,
5376,
1,
796,
705,
8071,
294,
16911,
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
] | [
2061,
4152,
318,
3208,
5658,
422,
30,
46506,
366,
38951,
1,
16034,
3084,
62,
21,
1828,
4089,
33411,
366,
5376,
1,
796,
705,
8071,
294,
16911,
6
] |
What is the sum of rank when total is 3 and the nation is Australia? | SELECT SUM("Rank") FROM table_43351 WHERE "Total" = '3' AND "Nation" = 'australia' | [
2061,
318,
262,
2160,
286,
4279,
618,
2472,
318,
513,
290,
262,
3277,
318,
4505,
30,
46506,
35683,
7203,
27520,
4943,
16034,
3084,
62,
42117,
4349,
33411,
366,
14957,
1,
796,
705,
18,
6,
5357,
366,
46108,
1,
796,
705,
64,
436,
1373,
544,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2160,
286,
4279,
618,
2472,
318,
513,
290,
262,
3277,
318,
4505,
30,
46506,
35683,
7203,
27520,
4943,
16034,
3084,
62,
42117,
4349,
33411,
366,
14957,
1,
796,
705,
18,
6,
5357,
366,
46108,
1,
796,
705,
64,
436,
1373,
544,
6
] |
What is the production number for the episode named 'mine s a double'? | SELECT COUNT("Production Count") FROM table_3192 WHERE "Title" = 'Mine’s A Double' | [
2061,
318,
262,
3227,
1271,
329,
262,
4471,
3706,
705,
3810,
264,
257,
4274,
30960,
46506,
327,
28270,
7203,
35027,
2764,
4943,
16034,
3084,
62,
18,
17477,
33411,
366,
19160,
1,
796,
705,
24461,
447,
247,
82,
317,
11198,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
3227,
1271,
329,
262,
4471,
3706,
705,
3810,
264,
257,
4274,
30960,
46506,
327,
28270,
7203,
35027,
2764,
4943,
16034,
3084,
62,
18,
17477,
33411,
366,
19160,
1,
796,
705,
24461,
447,
247,
82,
317,
11198,
6
] |
Usuarios con 10 o m s preguntas sin aceptar. | SELECT U.Id, U.DisplayName, COUNT(CASE WHEN P.AcceptedAnswerId IS NULL THEN 1 ELSE NULL END) AS PreguntasSinAceptar, COUNT(CASE WHEN NOT P.AcceptedAnswerId IS NULL THEN 1 ELSE NULL END) AS PreguntasAceptadas FROM Users AS U INNER JOIN Posts AS P ON U.Id = P.OwnerUserId WHERE P.PostTypeId = 1 AND P.AnswerCount > 0 GROUP BY U.Id, U.DisplayName HAVING COUNT(CASE WHEN P.AcceptedAnswerId IS NULL THEN 1 ELSE NULL END) >= 10 ORDER BY 3 DESC | [
52,
2385,
13010,
369,
838,
267,
285,
264,
662,
70,
2797,
292,
7813,
257,
984,
283,
13,
46506,
471,
13,
7390,
11,
471,
13,
23114,
5376,
11,
327,
28270,
7,
34,
11159,
42099,
350,
13,
38855,
276,
33706,
7390,
3180,
15697,
42243,
352,
17852,
5188,
15697,
23578,
8,
7054,
350,
2301,
2797,
292,
46200,
32,
984,
283,
11,
327,
28270,
7,
34,
11159,
42099,
5626,
350,
13,
38855,
276,
33706,
7390,
3180,
15697,
42243,
352,
17852,
5188,
15697,
23578,
8,
7054,
350,
2301,
2797,
292,
32,
984,
38768,
16034,
18987,
7054,
471,
3268,
21479,
32357,
1268,
12043,
7054,
350,
6177
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
52,
2385,
13010,
369,
838,
267,
285,
264,
662,
70,
2797,
292,
7813,
257,
984,
283,
13,
46506,
471,
13,
7390,
11,
471,
13,
23114,
5376,
11,
327,
28270,
7,
34,
11159,
42099,
350,
13,
38855,
276,
33706,
7390,
3180,
15697,
42243,
352,
17852,
5188,
15697,
23578,
8,
7054,
350,
2301,
2797,
292,
46200,
32,
984,
283,
11,
327,
28270,
7,
34,
11159,
42099,
5626,
350,
13,
38855,
276,
33706,
7390,
3180,
15697,
42243,
352,
17852,
5188,
15697,
23578,
8,
7054,
350,
2301,
2797,
292,
32,
984,
38768,
16034,
18987,
7054,
471,
3268,
21479,
32357,
1268,
12043,
7054,
350,
6177
] |
When is the latest year the venue is in gothenburg, sweden? | SELECT MAX(year) FROM table_name_36 WHERE venue = "gothenburg, sweden" | [
2215,
318,
262,
3452,
614,
262,
14359,
318,
287,
1392,
831,
7423,
11,
1509,
31829,
30,
46506,
25882,
7,
1941,
8,
16034,
3084,
62,
3672,
62,
2623,
33411,
14359,
796,
366,
23442,
831,
7423,
11,
1509,
31829,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
318,
262,
3452,
614,
262,
14359,
318,
287,
1392,
831,
7423,
11,
1509,
31829,
30,
46506,
25882,
7,
1941,
8,
16034,
3084,
62,
3672,
62,
2623,
33411,
14359,
796,
366,
23442,
831,
7423,
11,
1509,
31829,
1
] |
What is the total number of assists of the player with 0 goals, more than 1 points, and more than 0 pims? | SELECT COUNT(assists) FROM table_name_85 WHERE goals = 0 AND points > 1 AND pims > 0 | [
2061,
318,
262,
2472,
1271,
286,
13648,
286,
262,
2137,
351,
657,
4661,
11,
517,
621,
352,
2173,
11,
290,
517,
621,
657,
279,
12078,
30,
46506,
327,
28270,
7,
562,
1023,
8,
16034,
3084,
62,
3672,
62,
5332,
33411,
4661,
796,
657,
5357,
2173,
1875,
352,
5357,
279,
12078,
1875,
657
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2472,
1271,
286,
13648,
286,
262,
2137,
351,
657,
4661,
11,
517,
621,
352,
2173,
11,
290,
517,
621,
657,
279,
12078,
30,
46506,
327,
28270,
7,
562,
1023,
8,
16034,
3084,
62,
3672,
62,
5332,
33411,
4661,
796,
657,
5357,
2173,
1875,
352,
5357,
279,
12078,
1875,
657
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.