instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
What is the total crowd count for the venue Princes Park? | SELECT SUM("Crowd") FROM table_56472 WHERE "Venue" = 'princes park' | [
2061,
318,
262,
2472,
4315,
954,
329,
262,
14359,
7489,
728,
3250,
30,
46506,
35683,
7203,
34,
3986,
4943,
16034,
3084,
62,
20,
2414,
4761,
33411,
366,
37522,
518,
1,
796,
705,
1050,
17386,
3952,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2472,
4315,
954,
329,
262,
14359,
7489,
728,
3250,
30,
46506,
35683,
7203,
34,
3986,
4943,
16034,
3084,
62,
20,
2414,
4761,
33411,
366,
37522,
518,
1,
796,
705,
1050,
17386,
3952,
6
] |
What is the location and total attendance for games played against New Orleans? | SELECT location_attendance FROM table_15872814_5 WHERE team = "New Orleans" | [
2061,
318,
262,
4067,
290,
2472,
14858,
329,
1830,
2826,
1028,
968,
12255,
30,
46506,
4067,
62,
1078,
437,
590,
16034,
3084,
62,
1314,
5774,
2078,
1415,
62,
20,
33411,
1074,
796,
366,
3791,
12255,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4067,
290,
2472,
14858,
329,
1830,
2826,
1028,
968,
12255,
30,
46506,
4067,
62,
1078,
437,
590,
16034,
3084,
62,
1314,
5774,
2078,
1415,
62,
20,
33411,
1074,
796,
366,
3791,
12255,
1
] |
On which dates played Home Captain Courtney Walsh at the Queen's Park Oval? | SELECT "Date" FROM table_15477 WHERE "Home captain" = 'courtney walsh' AND "Venue" = 'queen''s park oval' | [
2202,
543,
9667,
2826,
5995,
8599,
36677,
24104,
379,
262,
7542,
338,
3250,
25165,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1314,
32883,
33411,
366,
16060,
10654,
1,
796,
705,
22230,
1681,
266,
22114,
6,
5357,
366,
37522,
518,
1,
79... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2202,
543,
9667,
2826,
5995,
8599,
36677,
24104,
379,
262,
7542,
338,
3250,
25165,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1314,
32883,
33411,
366,
16060,
10654,
1,
796,
705,
22230,
1681,
266,
22114,
6,
5357,
366,
37522,
518,
1,
79... |
what is the number of patients whose age is less than 83 and lab test name is cd3 cells, percent? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "83" AND lab.label = "CD3 Cells, Percent" | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
9698,
290,
2248,
1332,
1438,
318,
22927,
18,
4778,
11,
1411,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
9698,
290,
2248,
1332,
1438,
318,
22927,
18,
4778,
11,
1411,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,... |
Which Score has a Loss of buehrle (7-2)? | SELECT score FROM table_name_91 WHERE loss = "buehrle (7-2)" | [
13828,
15178,
468,
257,
22014,
286,
275,
518,
11840,
293,
357,
22,
12,
17,
19427,
46506,
4776,
16034,
3084,
62,
3672,
62,
6420,
33411,
2994,
796,
366,
65,
518,
11840,
293,
357,
22,
12,
17,
16725
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
15178,
468,
257,
22014,
286,
275,
518,
11840,
293,
357,
22,
12,
17,
19427,
46506,
4776,
16034,
3084,
62,
3672,
62,
6420,
33411,
2994,
796,
366,
65,
518,
11840,
293,
357,
22,
12,
17,
16725
] |
Let me know the number of patients with guillain barre syndrome who died in or before 2111. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "GUILLAIN BARRE SYNDROME" AND demographic.dod_year <= "2111.0" | [
5756,
502,
760,
262,
1271,
286,
3871,
351,
915,
359,
391,
2318,
260,
14027,
508,
3724,
287,
393,
878,
362,
16243,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
5756,
502,
760,
262,
1271,
286,
3871,
351,
915,
359,
391,
2318,
260,
14027,
508,
3724,
287,
393,
878,
362,
16243,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5... |
give the number of male patients who had the procedure for insertion of non-drug-eluting coronaryartery stent(s). | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.long_title = "Insertion of non-drug-eluting coronary artery stent(s)" | [
26535,
262,
1271,
286,
4257,
3871,
508,
550,
262,
8771,
329,
36075,
286,
1729,
12,
30349,
12,
417,
15129,
37151,
2571,
88,
336,
298,
7,
82,
737,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
26535,
262,
1271,
286,
4257,
3871,
508,
550,
262,
8771,
329,
36075,
286,
1729,
12,
30349,
12,
417,
15129,
37151,
2571,
88,
336,
298,
7,
82,
737,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,... |
Name the host when first premiere is august 3, 2007 | SELECT "Host" FROM table_20449 WHERE "First Premiere" = 'August 3, 2007' | [
5376,
262,
2583,
618,
717,
19245,
318,
16339,
436,
513,
11,
4343,
46506,
366,
17932,
1,
16034,
3084,
62,
1238,
31911,
33411,
366,
5962,
44151,
1,
796,
705,
17908,
513,
11,
4343,
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
] | [
5376,
262,
2583,
618,
717,
19245,
318,
16339,
436,
513,
11,
4343,
46506,
366,
17932,
1,
16034,
3084,
62,
1238,
31911,
33411,
366,
5962,
44151,
1,
796,
705,
17908,
513,
11,
4343,
6
] |
How many Gold medals did the Soviet Union receive? | SELECT AVG(gold) FROM table_name_98 WHERE nation = "soviet union" | [
2437,
867,
3561,
28057,
750,
262,
7570,
4479,
3328,
30,
46506,
35224,
7,
24267,
8,
16034,
3084,
62,
3672,
62,
4089,
33411,
3277,
796,
366,
47272,
1155,
6441,
1
] | [
1,
1,
1,
1,
1,
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,
3561,
28057,
750,
262,
7570,
4479,
3328,
30,
46506,
35224,
7,
24267,
8,
16034,
3084,
62,
3672,
62,
4089,
33411,
3277,
796,
366,
47272,
1155,
6441,
1
] |
how many elements have data that is below the 25th ? | SELECT COUNT("name") FROM table_204_39 WHERE "number" > 25 | [
4919,
867,
4847,
423,
1366,
326,
318,
2174,
262,
1679,
400,
5633,
46506,
327,
28270,
7203,
3672,
4943,
16034,
3084,
62,
18638,
62,
2670,
33411,
366,
17618,
1,
1875,
1679
] | [
1,
1,
1,
1,
1,
1,
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,
4847,
423,
1366,
326,
318,
2174,
262,
1679,
400,
5633,
46506,
327,
28270,
7203,
3672,
4943,
16034,
3084,
62,
18638,
62,
2670,
33411,
366,
17618,
1,
1875,
1679
] |
What is the lowest heat that had a time of 1:02.85 in a lane larger than 7? | SELECT MIN(heat) FROM table_name_40 WHERE time = "1:02.85" AND lane > 7 | [
2061,
318,
262,
9016,
4894,
326,
550,
257,
640,
286,
352,
25,
2999,
13,
5332,
287,
257,
11193,
4025,
621,
767,
30,
46506,
20625,
7,
25080,
8,
16034,
3084,
62,
3672,
62,
1821,
33411,
640,
796,
366,
16,
25,
2999,
13,
5332,
1,
5357,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
4894,
326,
550,
257,
640,
286,
352,
25,
2999,
13,
5332,
287,
257,
11193,
4025,
621,
767,
30,
46506,
20625,
7,
25080,
8,
16034,
3084,
62,
3672,
62,
1821,
33411,
640,
796,
366,
16,
25,
2999,
13,
5332,
1,
5357,
... |
What is the l2 cache for the model with a release price of $669? | SELECT "L2 cache" FROM table_20780 WHERE "Release price ( USD )" = '$669' | [
2061,
318,
262,
300,
17,
12940,
329,
262,
2746,
351,
257,
2650,
2756,
286,
720,
36657,
30,
46506,
366,
43,
17,
12940,
1,
16034,
3084,
62,
22745,
1795,
33411,
366,
26362,
2756,
357,
11403,
1267,
1,
796,
705,
3,
36657,
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
] | [
2061,
318,
262,
300,
17,
12940,
329,
262,
2746,
351,
257,
2650,
2756,
286,
720,
36657,
30,
46506,
366,
43,
17,
12940,
1,
16034,
3084,
62,
22745,
1795,
33411,
366,
26362,
2756,
357,
11403,
1267,
1,
796,
705,
3,
36657,
6
] |
how long is the song look through my eyes by everlife ? | SELECT "length" FROM table_204_573 WHERE "title" = '"look through my eyes"' | [
4919,
890,
318,
262,
3496,
804,
832,
616,
2951,
416,
1683,
6042,
5633,
46506,
366,
13664,
1,
16034,
3084,
62,
18638,
62,
48638,
33411,
366,
7839,
1,
796,
705,
1,
5460,
832,
616,
2951,
30543
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
890,
318,
262,
3496,
804,
832,
616,
2951,
416,
1683,
6042,
5633,
46506,
366,
13664,
1,
16034,
3084,
62,
18638,
62,
48638,
33411,
366,
7839,
1,
796,
705,
1,
5460,
832,
616,
2951,
30543
] |
What is the value in 2008 for the US Open? | SELECT "2008" FROM table_15062 WHERE "Tournament" = 'us open' | [
2061,
318,
262,
1988,
287,
3648,
329,
262,
1294,
4946,
30,
46506,
366,
11528,
1,
16034,
3084,
62,
8628,
5237,
33411,
366,
51,
5138,
1,
796,
705,
385,
1280,
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,
318,
262,
1988,
287,
3648,
329,
262,
1294,
4946,
30,
46506,
366,
11528,
1,
16034,
3084,
62,
8628,
5237,
33411,
366,
51,
5138,
1,
796,
705,
385,
1280,
6
] |
What is the sum of the bronze medals when there were more than 2 silver medals and a rank larger than 6? | SELECT SUM("Bronze") FROM table_77032 WHERE "Silver" > '2' AND "Rank" > '6' | [
2061,
318,
262,
2160,
286,
262,
22101,
28057,
618,
612,
547,
517,
621,
362,
8465,
28057,
290,
257,
4279,
4025,
621,
718,
30,
46506,
35683,
7203,
18760,
2736,
4943,
16034,
3084,
62,
41820,
2624,
33411,
366,
26766,
1,
1875,
705,
17,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2160,
286,
262,
22101,
28057,
618,
612,
547,
517,
621,
362,
8465,
28057,
290,
257,
4279,
4025,
621,
718,
30,
46506,
35683,
7203,
18760,
2736,
4943,
16034,
3084,
62,
41820,
2624,
33411,
366,
26766,
1,
1875,
705,
17,
6,
... |
What was Gongbo's title? | SELECT title FROM table_name_37 WHERE name = "gongbo" | [
2061,
373,
47142,
2127,
338,
3670,
30,
46506,
3670,
16034,
3084,
62,
3672,
62,
2718,
33411,
1438,
796,
366,
70,
506,
2127,
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,
47142,
2127,
338,
3670,
30,
46506,
3670,
16034,
3084,
62,
3672,
62,
2718,
33411,
1438,
796,
366,
70,
506,
2127,
1
] |
What was the lowest year that the engine Ilmor 2175a 3.5 v10 was used? | SELECT MIN("Year") FROM table_80208 WHERE "Engine" = 'ilmor 2175a 3.5 v10' | [
2061,
373,
262,
9016,
614,
326,
262,
3113,
13778,
4491,
362,
17430,
64,
513,
13,
20,
410,
940,
373,
973,
30,
46506,
20625,
7203,
17688,
4943,
16034,
3084,
62,
1795,
21315,
33411,
366,
13798,
1,
796,
705,
346,
4491,
362,
17430,
64,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
9016,
614,
326,
262,
3113,
13778,
4491,
362,
17430,
64,
513,
13,
20,
410,
940,
373,
973,
30,
46506,
20625,
7203,
17688,
4943,
16034,
3084,
62,
1795,
21315,
33411,
366,
13798,
1,
796,
705,
346,
4491,
362,
17430,
64,
5... |
What is the sum of the heights in meters for the commerzbank tower built after 1984? | SELECT SUM(height__m_) FROM table_name_70 WHERE year_built > 1984 AND name = "commerzbank tower" | [
2061,
318,
262,
2160,
286,
262,
23245,
287,
10700,
329,
262,
4412,
14969,
962,
10580,
3170,
706,
12844,
30,
46506,
35683,
7,
17015,
834,
76,
62,
8,
16034,
3084,
62,
3672,
62,
2154,
33411,
614,
62,
18780,
1875,
12844,
5357,
1438,
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
] | [
2061,
318,
262,
2160,
286,
262,
23245,
287,
10700,
329,
262,
4412,
14969,
962,
10580,
3170,
706,
12844,
30,
46506,
35683,
7,
17015,
834,
76,
62,
8,
16034,
3084,
62,
3672,
62,
2154,
33411,
614,
62,
18780,
1875,
12844,
5357,
1438,
796,
... |
How many positions does Greg Bryant play? | SELECT COUNT("Position") FROM table_17077 WHERE "Player" = 'Greg Bryant' | [
2437,
867,
6116,
857,
8547,
16754,
711,
30,
46506,
327,
28270,
7203,
26545,
4943,
16034,
3084,
62,
1558,
2998,
22,
33411,
366,
14140,
1,
796,
705,
25025,
16754,
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
] | [
2437,
867,
6116,
857,
8547,
16754,
711,
30,
46506,
327,
28270,
7203,
26545,
4943,
16034,
3084,
62,
1558,
2998,
22,
33411,
366,
14140,
1,
796,
705,
25025,
16754,
6
] |
What is the lowest run 3 an athlete with a run 2 less than 53.72 and a run 1 of 53.1 has? | SELECT MIN("Run 3") FROM table_37051 WHERE "Run 2" < '53.72' AND "Run 1" = '53.1' | [
2061,
318,
262,
9016,
1057,
513,
281,
16076,
351,
257,
1057,
362,
1342,
621,
7192,
13,
4761,
290,
257,
1057,
352,
286,
7192,
13,
16,
468,
30,
46506,
20625,
7203,
10987,
513,
4943,
16034,
3084,
62,
20167,
4349,
33411,
366,
10987,
362,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
1057,
513,
281,
16076,
351,
257,
1057,
362,
1342,
621,
7192,
13,
4761,
290,
257,
1057,
352,
286,
7192,
13,
16,
468,
30,
46506,
20625,
7203,
10987,
513,
4943,
16034,
3084,
62,
20167,
4349,
33411,
366,
10987,
362,
... |
What Local/Networked has a Show Name of nightline? | SELECT "Local/Networked" FROM table_78994 WHERE "Show Name" = 'nightline' | [
2061,
10714,
14,
26245,
276,
468,
257,
5438,
6530,
286,
1755,
1370,
30,
46506,
366,
14565,
14,
26245,
276,
1,
16034,
3084,
62,
3695,
42691,
33411,
366,
15307,
6530,
1,
796,
705,
3847,
1370,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
10714,
14,
26245,
276,
468,
257,
5438,
6530,
286,
1755,
1370,
30,
46506,
366,
14565,
14,
26245,
276,
1,
16034,
3084,
62,
3695,
42691,
33411,
366,
15307,
6530,
1,
796,
705,
3847,
1370,
6
] |
What are the driving wheels of the model built in 1883? | SELECT driving_wheels FROM table_name_51 WHERE date_built = "1883" | [
2061,
389,
262,
5059,
13666,
286,
262,
2746,
3170,
287,
1248,
5999,
30,
46506,
5059,
62,
12491,
1424,
16034,
3084,
62,
3672,
62,
4349,
33411,
3128,
62,
18780,
796,
366,
1507,
5999,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5059,
13666,
286,
262,
2746,
3170,
287,
1248,
5999,
30,
46506,
5059,
62,
12491,
1424,
16034,
3084,
62,
3672,
62,
4349,
33411,
3128,
62,
18780,
796,
366,
1507,
5999,
1
] |
For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and the average of code , and group by attribute name, could you show by the Name in ascending please? | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1438,
290,
262,
2811,
286,
2438,
837,
290,
1448,
416,
11688,
1438,
11,
714,
345,
905,
416,
262,
6530,
287,
41988,
3387,
30... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1438,
290,
262,
2811,
286,
2438,
837,
290,
1448,
416,
11688,
1438,
11,
714,
345,
905,
416,
262,
6530,
287,
41988,
3387,
30... |
For CS , what upper electives courses are available ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id | [
1890,
9429,
837,
644,
6727,
1742,
1083,
10902,
389,
1695,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1430,
62,
17319,
33411,
1430,
62,
17319,
13,
22872,
34178,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
9429,
837,
644,
6727,
1742,
1083,
10902,
389,
1695,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1430,
62,
17319,
33411,
1430,
62,
17319,
13,
22872,
34178,
... |
Which round was a player from the Long Island Lizards drafted in first? | SELECT MAX("Round") FROM table_70600 WHERE "Team" = 'long island lizards' | [
13828,
2835,
373,
257,
2137,
422,
262,
5882,
5451,
406,
14124,
15937,
287,
717,
30,
46506,
25882,
7203,
22685,
4943,
16034,
3084,
62,
2154,
8054,
33411,
366,
15592,
1,
796,
705,
6511,
7022,
300,
14124,
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
] | [
13828,
2835,
373,
257,
2137,
422,
262,
5882,
5451,
406,
14124,
15937,
287,
717,
30,
46506,
25882,
7203,
22685,
4943,
16034,
3084,
62,
2154,
8054,
33411,
366,
15592,
1,
796,
705,
6511,
7022,
300,
14124,
6
] |
Who was Choong Tan Fook's opponent in 1999? | SELECT opponent FROM table_name_42 WHERE year = 1999 AND partner = "choong tan fook" | [
8241,
373,
10031,
506,
11818,
376,
566,
338,
6125,
287,
7358,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
3682,
33411,
614,
796,
7358,
5357,
5212,
796,
366,
6679,
506,
25706,
277,
566,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
373,
10031,
506,
11818,
376,
566,
338,
6125,
287,
7358,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
3682,
33411,
614,
796,
7358,
5357,
5212,
796,
366,
6679,
506,
25706,
277,
566,
1
] |
All Answerers for a Given Tag with a Minimum Reputation of .... The Stats of a Tag only gives the Top-20 answerers. This query can list more of them and give other info as well. | SELECT Users.Id AS "user_link", DisplayName, MAX(Age) AS Age, MAX(Location) AS Location, MAX(WebsiteUrl) AS Website, MAX(Reputation) AS Rep, COUNT(Answers.Id) AS Answers, SUM(Answers.Score) AS Score, CAST(AVG(CAST(Answers.Score AS FLOAT)) AS FLOAT(6, 1)) AS "avg" FROM Tags JOIN PostTags ON PostTags.TagId = Tags.Id JOIN... | [
3237,
1052,
2032,
19288,
329,
257,
11259,
17467,
351,
257,
26265,
1432,
7094,
286,
19424,
383,
20595,
286,
257,
17467,
691,
3607,
262,
5849,
12,
1238,
2590,
19288,
13,
770,
12405,
460,
1351,
517,
286,
606,
290,
1577,
584,
7508,
355,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3237,
1052,
2032,
19288,
329,
257,
11259,
17467,
351,
257,
26265,
1432,
7094,
286,
19424,
383,
20595,
286,
257,
17467,
691,
3607,
262,
5849,
12,
1238,
2590,
19288,
13,
770,
12405,
460,
1351,
517,
286,
606,
290,
1577,
584,
7508,
355,
8... |
Which Team has a Winner of craig lowndes, and a Circuit of phillip island grand prix circuit? | SELECT "Team" FROM table_35338 WHERE "Winner" = 'craig lowndes' AND "Circuit" = 'phillip island grand prix circuit' | [
13828,
4816,
468,
257,
25358,
286,
15671,
328,
1877,
358,
274,
11,
290,
257,
13588,
286,
872,
359,
541,
7022,
4490,
1293,
87,
10349,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
2327,
28460,
33411,
366,
48056,
1,
796,
705,
66,
430,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4816,
468,
257,
25358,
286,
15671,
328,
1877,
358,
274,
11,
290,
257,
13588,
286,
872,
359,
541,
7022,
4490,
1293,
87,
10349,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
2327,
28460,
33411,
366,
48056,
1,
796,
705,
66,
430,
32... |
What is Zimbabwe's total with a to par higher than 5? | SELECT AVG("Total") FROM table_79047 WHERE "Country" = 'zimbabwe' AND "To par" > '5' | [
2061,
318,
28589,
338,
2472,
351,
257,
284,
1582,
2440,
621,
642,
30,
46506,
35224,
7203,
14957,
4943,
16034,
3084,
62,
37750,
2857,
33411,
366,
33921,
1,
796,
705,
89,
27175,
6,
5357,
366,
2514,
1582,
1,
1875,
705,
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,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
28589,
338,
2472,
351,
257,
284,
1582,
2440,
621,
642,
30,
46506,
35224,
7203,
14957,
4943,
16034,
3084,
62,
37750,
2857,
33411,
366,
33921,
1,
796,
705,
89,
27175,
6,
5357,
366,
2514,
1582,
1,
1875,
705,
20,
6
] |
What were the years active where Asian Cup played as a captain is Iran 1976? | SELECT "Years Active" FROM table_3728 WHERE "Asian Cup Played As A Captain" = 'Iran 1976' | [
2061,
547,
262,
812,
4075,
810,
7740,
5454,
2826,
355,
257,
10654,
318,
4068,
15408,
30,
46506,
366,
40630,
14199,
1,
16034,
3084,
62,
2718,
2078,
33411,
366,
43224,
5454,
33101,
1081,
317,
8599,
1,
796,
705,
23798,
15408,
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,
547,
262,
812,
4075,
810,
7740,
5454,
2826,
355,
257,
10654,
318,
4068,
15408,
30,
46506,
366,
40630,
14199,
1,
16034,
3084,
62,
2718,
2078,
33411,
366,
43224,
5454,
33101,
1081,
317,
8599,
1,
796,
705,
23798,
15408,
6
] |
What is every name origin with the name Ovda Fluctus? | SELECT name AS origin FROM table_16799784_12 WHERE name = "Ovda Fluctus" | [
2061,
318,
790,
1438,
8159,
351,
262,
1438,
46941,
6814,
1610,
4782,
385,
30,
46506,
1438,
7054,
8159,
16034,
3084,
62,
21940,
2079,
37688,
62,
1065,
33411,
1438,
796,
366,
46,
85,
6814,
1610,
4782,
385,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
790,
1438,
8159,
351,
262,
1438,
46941,
6814,
1610,
4782,
385,
30,
46506,
1438,
7054,
8159,
16034,
3084,
62,
21940,
2079,
37688,
62,
1065,
33411,
1438,
796,
366,
46,
85,
6814,
1610,
4782,
385,
1
] |
For an airline of Wizz Air and fewer than 83 destinations, what is the highest passenger fleet? | SELECT MAX("Passenger Fleet") FROM table_54136 WHERE "Airline/Holding" = 'wizz air' AND "Current Destinations" < '83' | [
1890,
281,
18091,
286,
370,
6457,
3701,
290,
7380,
621,
9698,
23982,
11,
644,
318,
262,
4511,
11849,
11026,
30,
46506,
25882,
7203,
14478,
6540,
20001,
4943,
16034,
3084,
62,
4051,
20809,
33411,
366,
16170,
1370,
14,
26807,
278,
1,
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
] | [
1890,
281,
18091,
286,
370,
6457,
3701,
290,
7380,
621,
9698,
23982,
11,
644,
318,
262,
4511,
11849,
11026,
30,
46506,
25882,
7203,
14478,
6540,
20001,
4943,
16034,
3084,
62,
4051,
20809,
33411,
366,
16170,
1370,
14,
26807,
278,
1,
796,... |
What is the height of the player that weighs 240? | SELECT height FROM table_name_56 WHERE weight = 240 | [
2061,
318,
262,
6001,
286,
262,
2137,
326,
24034,
14956,
30,
46506,
6001,
16034,
3084,
62,
3672,
62,
3980,
33411,
3463,
796,
14956
] | [
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,
6001,
286,
262,
2137,
326,
24034,
14956,
30,
46506,
6001,
16034,
3084,
62,
3672,
62,
3980,
33411,
3463,
796,
14956
] |
What is the lowest attendance when footscray is the away team? | SELECT MIN(crowd) FROM table_name_61 WHERE away_team = "footscray" | [
2061,
318,
262,
9016,
14858,
618,
2366,
1416,
2433,
318,
262,
1497,
1074,
30,
46506,
20625,
7,
66,
3986,
8,
16034,
3084,
62,
3672,
62,
5333,
33411,
1497,
62,
15097,
796,
366,
5898,
1416,
2433,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
14858,
618,
2366,
1416,
2433,
318,
262,
1497,
1074,
30,
46506,
20625,
7,
66,
3986,
8,
16034,
3084,
62,
3672,
62,
5333,
33411,
1497,
62,
15097,
796,
366,
5898,
1416,
2433,
1
] |
count the number of times patient 002-34744 had a drain 1 output ml output today. | 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 = '002-34744')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.ce... | [
9127,
262,
1271,
286,
1661,
5827,
3571,
17,
12,
30995,
2598,
550,
257,
14782,
352,
5072,
25962,
5072,
1909,
13,
46506,
327,
28270,
7,
28104,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9127,
262,
1271,
286,
1661,
5827,
3571,
17,
12,
30995,
2598,
550,
257,
14782,
352,
5072,
25962,
5072,
1909,
13,
46506,
327,
28270,
7,
28104,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
... |
Name Nationality is on 6 july 1942? | SELECT "Nationality" FROM table_13188 WHERE "Date" = '6 july 1942' | [
5376,
2351,
414,
318,
319,
718,
474,
2062,
22458,
30,
46506,
366,
16186,
414,
1,
16034,
3084,
62,
1485,
20356,
33411,
366,
10430,
1,
796,
705,
21,
474,
2062,
22458,
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
] | [
5376,
2351,
414,
318,
319,
718,
474,
2062,
22458,
30,
46506,
366,
16186,
414,
1,
16034,
3084,
62,
1485,
20356,
33411,
366,
10430,
1,
796,
705,
21,
474,
2062,
22458,
6
] |
What score resulted in a winner after 2008? | SELECT "Score" FROM table_68597 WHERE "Outcome" = 'winner' AND "Year" > '2008' | [
2061,
4776,
8724,
287,
257,
8464,
706,
3648,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3104,
43239,
33411,
366,
7975,
2958,
1,
796,
705,
39791,
6,
5357,
366,
17688,
1,
1875,
705,
11528,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
4776,
8724,
287,
257,
8464,
706,
3648,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3104,
43239,
33411,
366,
7975,
2958,
1,
796,
705,
39791,
6,
5357,
366,
17688,
1,
1875,
705,
11528,
6
] |
what is days of hospital stay of subject id 3343? | SELECT demographic.days_stay FROM demographic WHERE demographic.subject_id = "3343" | [
10919,
318,
1528,
286,
4436,
2652,
286,
2426,
4686,
513,
32118,
30,
46506,
16728,
13,
12545,
62,
31712,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
2091,
3559,
1
] | [
1,
1,
1,
1,
1,
1,
1,
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,
1528,
286,
4436,
2652,
286,
2426,
4686,
513,
32118,
30,
46506,
16728,
13,
12545,
62,
31712,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
2091,
3559,
1
] |
Which Result has a Score of 69-81? | SELECT result FROM table_name_25 WHERE score = "69-81" | [
13828,
25414,
468,
257,
15178,
286,
8644,
12,
6659,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
1495,
33411,
4776,
796,
366,
3388,
12,
6659,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
25414,
468,
257,
15178,
286,
8644,
12,
6659,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
1495,
33411,
4776,
796,
366,
3388,
12,
6659,
1
] |
For all storms with at least 1 death, compare the total number of deaths by dates_active attribute, sort by the names from low to high. | SELECT Dates_active, Number_Deaths FROM storm WHERE Number_Deaths >= 1 ORDER BY Dates_active | [
1890,
477,
20228,
351,
379,
1551,
352,
1918,
11,
8996,
262,
2472,
1271,
286,
7040,
416,
9667,
62,
5275,
11688,
11,
3297,
416,
262,
3891,
422,
1877,
284,
1029,
13,
46506,
44712,
62,
5275,
11,
7913,
62,
20148,
82,
16034,
6388,
33411,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
477,
20228,
351,
379,
1551,
352,
1918,
11,
8996,
262,
2472,
1271,
286,
7040,
416,
9667,
62,
5275,
11688,
11,
3297,
416,
262,
3891,
422,
1877,
284,
1029,
13,
46506,
44712,
62,
5275,
11,
7913,
62,
20148,
82,
16034,
6388,
33411,
... |
Deep Learning Frameworks Posts Comparison. | SELECT DATEADD(month, DATEDIFF(month, 0, CreationDate), 0) AS m, TagName, COUNT(*) FROM PostTags AS pt JOIN Posts AS q ON q.Id = pt.PostId JOIN Tags AS t ON t.Id = pt.TagId WHERE TagName IN ('tensorflow', 'keras', 'mxnet', 'theano', 'caffe', 'caffe2', 'cntk', 'deeplearning4j', 'pytorch') AND q.CreationDate < DATEADD(mo... | [
29744,
18252,
15183,
19653,
12043,
34420,
13,
46506,
360,
6158,
29266,
7,
8424,
11,
360,
11617,
29267,
7,
8424,
11,
657,
11,
21582,
10430,
828,
657,
8,
7054,
285,
11,
17467,
5376,
11,
327,
28270,
7,
28104,
16034,
2947,
36142,
7054,
42... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
29744,
18252,
15183,
19653,
12043,
34420,
13,
46506,
360,
6158,
29266,
7,
8424,
11,
360,
11617,
29267,
7,
8424,
11,
657,
11,
21582,
10430,
828,
657,
8,
7054,
285,
11,
17467,
5376,
11,
327,
28270,
7,
28104,
16034,
2947,
36142,
7054,
42... |
.9% normal saline had been given to patient 8098 ever until 03/20/2104? | SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8098)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% norma... | [
13,
24,
4,
3487,
47375,
550,
587,
1813,
284,
5827,
807,
2931,
23,
1683,
1566,
7643,
14,
1238,
14,
17,
13464,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
13,
24,
4,
3487,
47375,
550,
587,
1813,
284,
5827,
807,
2931,
23,
1683,
1566,
7643,
14,
1238,
14,
17,
13464,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
... |
What are the codes of types of documents of which there are for or more? | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING COUNT(*) > 4 | [
2061,
389,
262,
12416,
286,
3858,
286,
4963,
286,
543,
612,
389,
329,
393,
517,
30,
46506,
3188,
62,
4906,
62,
8189,
16034,
4963,
44441,
11050,
3188,
62,
4906,
62,
8189,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
604
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
12416,
286,
3858,
286,
4963,
286,
543,
612,
389,
329,
393,
517,
30,
46506,
3188,
62,
4906,
62,
8189,
16034,
4963,
44441,
11050,
3188,
62,
4906,
62,
8189,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
604
] |
show me the four year survival rate of patients who were prescribed buminate after they were diagnosed with dementia? | SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t4.diagnosistime) > 4 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.uniquepid, t2.diagnosistime FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid... | [
12860,
502,
262,
1440,
614,
9441,
2494,
286,
3871,
508,
547,
14798,
39564,
4559,
706,
484,
547,
14641,
351,
27886,
30,
46506,
35683,
7,
34,
11159,
42099,
5827,
13,
49257,
6381,
11121,
395,
7240,
796,
705,
282,
425,
6,
42243,
352,
4209... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12860,
502,
262,
1440,
614,
9441,
2494,
286,
3871,
508,
547,
14798,
39564,
4559,
706,
484,
547,
14641,
351,
27886,
30,
46506,
35683,
7,
34,
11159,
42099,
5827,
13,
49257,
6381,
11121,
395,
7240,
796,
705,
282,
425,
6,
42243,
352,
4209... |
how many patients whose admission year is less than 2190 and procedure short title is trnsplnt live nonrel don? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2190" AND procedures.short_title = "Trnsplnt live nonrel don" | [
4919,
867,
3871,
3025,
13938,
614,
318,
1342,
621,
362,
19782,
290,
8771,
1790,
3670,
318,
491,
5907,
489,
429,
2107,
1729,
2411,
836,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
3871,
3025,
13938,
614,
318,
1342,
621,
362,
19782,
290,
8771,
1790,
3670,
318,
491,
5907,
489,
429,
2107,
1729,
2411,
836,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
... |
who was the only person that scheider lost against ? | SELECT "opponent" FROM table_200_31 WHERE "result" = 'loss' | [
8727,
373,
262,
691,
1048,
326,
3897,
1304,
2626,
1028,
5633,
46506,
366,
10365,
3471,
1,
16034,
3084,
62,
2167,
62,
3132,
33411,
366,
20274,
1,
796,
705,
22462,
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
] | [
8727,
373,
262,
691,
1048,
326,
3897,
1304,
2626,
1028,
5633,
46506,
366,
10365,
3471,
1,
16034,
3084,
62,
2167,
62,
3132,
33411,
366,
20274,
1,
796,
705,
22462,
6
] |
count the number of patients whose death status is 1 and primary disease is t5 fracture. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "T5 FRACTURE" | [
9127,
262,
1271,
286,
3871,
3025,
1918,
3722,
318,
352,
290,
4165,
4369,
318,
256,
20,
31846,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
1069,
5111,
62,
32109,
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
] | [
9127,
262,
1271,
286,
3871,
3025,
1918,
3722,
318,
352,
290,
4165,
4369,
318,
256,
20,
31846,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
1069,
5111,
62,
32109,
796,
... |
Find all the payment dates for the payments with an amount larger than 10 and the payments handled by a staff person with the first name Elsa, and count them by a line chart | 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' GROUP BY payment_date | [
16742,
477,
262,
6074,
9667,
329,
262,
7524,
351,
281,
2033,
4025,
621,
838,
290,
262,
7524,
12118,
416,
257,
3085,
1048,
351,
262,
717,
1438,
19226,
11,
290,
954,
606,
416,
257,
1627,
8262,
46506,
6074,
62,
4475,
11,
327,
28270,
7,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
16742,
477,
262,
6074,
9667,
329,
262,
7524,
351,
281,
2033,
4025,
621,
838,
290,
262,
7524,
12118,
416,
257,
3085,
1048,
351,
262,
717,
1438,
19226,
11,
290,
954,
606,
416,
257,
1627,
8262,
46506,
6074,
62,
4475,
11,
327,
28270,
7,... |
A pie chart for what are the number of the descriptions of the categories that products with product descriptions that contain the letter t are in? | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description | [
32,
2508,
8262,
329,
644,
389,
262,
1271,
286,
262,
16969,
286,
262,
9376,
326,
3186,
351,
1720,
16969,
326,
3994,
262,
3850,
256,
389,
287,
30,
46506,
1720,
62,
22872,
62,
11213,
11,
327,
28270,
7,
11167,
62,
22872,
62,
11213,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
32,
2508,
8262,
329,
644,
389,
262,
1271,
286,
262,
16969,
286,
262,
9376,
326,
3186,
351,
1720,
16969,
326,
3994,
262,
3850,
256,
389,
287,
30,
46506,
1720,
62,
22872,
62,
11213,
11,
327,
28270,
7,
11167,
62,
22872,
62,
11213,
8,
... |
how many people does the holon city arena in holon seat ? | SELECT "capacity" FROM table_204_195 WHERE "stadium" = 'holon city arena' | [
4919,
867,
661,
857,
262,
6039,
261,
1748,
13478,
287,
6039,
261,
5852,
5633,
46506,
366,
42404,
1,
16034,
3084,
62,
18638,
62,
22186,
33411,
366,
301,
6271,
1,
796,
705,
3937,
261,
1748,
13478,
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
] | [
4919,
867,
661,
857,
262,
6039,
261,
1748,
13478,
287,
6039,
261,
5852,
5633,
46506,
366,
42404,
1,
16034,
3084,
62,
18638,
62,
22186,
33411,
366,
301,
6271,
1,
796,
705,
3937,
261,
1748,
13478,
6
] |
What is the total number of gold medals of the nation with 1 bronze and less than 1 total medal? | SELECT COUNT("Gold") FROM table_8304 WHERE "Bronze" = '1' AND "Total" < '1' | [
2061,
318,
262,
2472,
1271,
286,
3869,
28057,
286,
262,
3277,
351,
352,
22101,
290,
1342,
621,
352,
2472,
18279,
30,
46506,
327,
28270,
7203,
13306,
4943,
16034,
3084,
62,
23,
21288,
33411,
366,
18760,
2736,
1,
796,
705,
16,
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
] | [
2061,
318,
262,
2472,
1271,
286,
3869,
28057,
286,
262,
3277,
351,
352,
22101,
290,
1342,
621,
352,
2472,
18279,
30,
46506,
327,
28270,
7203,
13306,
4943,
16034,
3084,
62,
23,
21288,
33411,
366,
18760,
2736,
1,
796,
705,
16,
6,
5357,
... |
what was the minimum daily number of patients who had malig neo bladder nec until 2 years ago? | SELECT MIN(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'malig neo bladder nec') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year') G... | [
10919,
373,
262,
5288,
4445,
1271,
286,
3871,
508,
550,
6428,
328,
19102,
34918,
27576,
1566,
362,
812,
2084,
30,
46506,
20625,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
40567,
62,
291,
67,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
373,
262,
5288,
4445,
1271,
286,
3871,
508,
550,
6428,
328,
19102,
34918,
27576,
1566,
362,
812,
2084,
30,
46506,
20625,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
40567,
62,
291,
67,
... |
What is the total Rank that has a Municipality of Winnipeg, an Area (KM 2) that's larger than 464.01? | SELECT SUM(rank) FROM table_name_85 WHERE municipality = "winnipeg" AND area__km_2__ > 464.01 | [
2061,
318,
262,
2472,
10916,
326,
468,
257,
27338,
1483,
286,
23434,
11,
281,
9498,
357,
42,
44,
362,
8,
326,
338,
4025,
621,
604,
2414,
13,
486,
30,
46506,
35683,
7,
43027,
8,
16034,
3084,
62,
3672,
62,
5332,
33411,
27264,
796,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2472,
10916,
326,
468,
257,
27338,
1483,
286,
23434,
11,
281,
9498,
357,
42,
44,
362,
8,
326,
338,
4025,
621,
604,
2414,
13,
486,
30,
46506,
35683,
7,
43027,
8,
16034,
3084,
62,
3672,
62,
5332,
33411,
27264,
796,
3... |
How many saves were in the Georgia game, versus the Bulldogs, with a score of 7-6? | SELECT save FROM table_18025024_7 WHERE score = "7-6" | [
2437,
867,
16031,
547,
287,
262,
7859,
983,
11,
9051,
262,
34969,
11,
351,
257,
4776,
286,
767,
12,
21,
30,
46506,
3613,
16034,
3084,
62,
1507,
2999,
1120,
1731,
62,
22,
33411,
4776,
796,
366,
22,
12,
21,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
16031,
547,
287,
262,
7859,
983,
11,
9051,
262,
34969,
11,
351,
257,
4776,
286,
767,
12,
21,
30,
46506,
3613,
16034,
3084,
62,
1507,
2999,
1120,
1731,
62,
22,
33411,
4776,
796,
366,
22,
12,
21,
1
] |
Which Points have a Score of 4 1, and a Record of 18 10 8 1, and a January larger than 2? | SELECT AVG(points) FROM table_name_71 WHERE score = "4–1" AND record = "18–10–8–1" AND january > 2 | [
13828,
11045,
423,
257,
15178,
286,
604,
352,
11,
290,
257,
13266,
286,
1248,
838,
807,
352,
11,
290,
257,
3269,
4025,
621,
362,
30,
46506,
35224,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
4869,
33411,
4776,
796,
366,
19,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11045,
423,
257,
15178,
286,
604,
352,
11,
290,
257,
13266,
286,
1248,
838,
807,
352,
11,
290,
257,
3269,
4025,
621,
362,
30,
46506,
35224,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
4869,
33411,
4776,
796,
366,
19,
1906,
16,
... |
How many Bronze medals for the Nation with a Rank of 11 and less than 1 Silver? | SELECT MIN("Bronze") FROM table_46366 WHERE "Rank" = '11' AND "Silver" < '1' | [
2437,
867,
19461,
28057,
329,
262,
8741,
351,
257,
10916,
286,
1367,
290,
1342,
621,
352,
7698,
30,
46506,
20625,
7203,
18760,
2736,
4943,
16034,
3084,
62,
3510,
32459,
33411,
366,
27520,
1,
796,
705,
1157,
6,
5357,
366,
26766,
1,
127... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19461,
28057,
329,
262,
8741,
351,
257,
10916,
286,
1367,
290,
1342,
621,
352,
7698,
30,
46506,
20625,
7203,
18760,
2736,
4943,
16034,
3084,
62,
3510,
32459,
33411,
366,
27520,
1,
796,
705,
1157,
6,
5357,
366,
26766,
1,
127... |
Which week starts on November 23, 1997? | SELECT "Week" FROM table_32559 WHERE "Date" = 'november 23, 1997' | [
13828,
1285,
4940,
319,
3389,
2242,
11,
8309,
30,
46506,
366,
20916,
1,
16034,
3084,
62,
26582,
3270,
33411,
366,
10430,
1,
796,
705,
77,
3239,
2242,
11,
8309,
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
] | [
13828,
1285,
4940,
319,
3389,
2242,
11,
8309,
30,
46506,
366,
20916,
1,
16034,
3084,
62,
26582,
3270,
33411,
366,
10430,
1,
796,
705,
77,
3239,
2242,
11,
8309,
6
] |
Who is the lead of the team from Lockerbie? | SELECT lead FROM table_name_81 WHERE home = "lockerbie" | [
8241,
318,
262,
1085,
286,
262,
1074,
422,
406,
12721,
12590,
30,
46506,
1085,
16034,
3084,
62,
3672,
62,
6659,
33411,
1363,
796,
366,
5354,
263,
12590,
1
] | [
1,
1,
1,
1,
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,
1085,
286,
262,
1074,
422,
406,
12721,
12590,
30,
46506,
1085,
16034,
3084,
62,
3672,
62,
6659,
33411,
1363,
796,
366,
5354,
263,
12590,
1
] |
Which Name has a Round smaller than 5, and a Pick # larger than 13? | SELECT "Name" FROM table_38149 WHERE "Round" < '5' AND "Pick #" > '13' | [
13828,
6530,
468,
257,
10485,
4833,
621,
642,
11,
290,
257,
12346,
1303,
4025,
621,
1511,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
2548,
19442,
33411,
366,
22685,
1,
1279,
705,
20,
6,
5357,
366,
31686,
1303,
1,
1875,
705,
1485,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
6530,
468,
257,
10485,
4833,
621,
642,
11,
290,
257,
12346,
1303,
4025,
621,
1511,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
2548,
19442,
33411,
366,
22685,
1,
1279,
705,
20,
6,
5357,
366,
31686,
1303,
1,
1875,
705,
1485,
6
] |
How many position does Teodor Salparov play on? | SELECT COUNT("Position") FROM table_72504 WHERE "Player" = 'Teodor Salparov' | [
2437,
867,
2292,
857,
1665,
30530,
4849,
1845,
709,
711,
319,
30,
46506,
327,
28270,
7203,
26545,
4943,
16034,
3084,
62,
4761,
33580,
33411,
366,
14140,
1,
796,
705,
6767,
30530,
4849,
1845,
709,
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
] | [
2437,
867,
2292,
857,
1665,
30530,
4849,
1845,
709,
711,
319,
30,
46506,
327,
28270,
7203,
26545,
4943,
16034,
3084,
62,
4761,
33580,
33411,
366,
14140,
1,
796,
705,
6767,
30530,
4849,
1845,
709,
6
] |
Name the ERP W for glens falls, new york | SELECT "ERP W" FROM table_75358 WHERE "City of license" = 'glens falls, new york' | [
5376,
262,
13793,
47,
370,
329,
1278,
641,
8953,
11,
649,
331,
967,
46506,
366,
1137,
47,
370,
1,
16034,
3084,
62,
2425,
31128,
33411,
366,
14941,
286,
5964,
1,
796,
705,
4743,
641,
8953,
11,
649,
331,
967,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
13793,
47,
370,
329,
1278,
641,
8953,
11,
649,
331,
967,
46506,
366,
1137,
47,
370,
1,
16034,
3084,
62,
2425,
31128,
33411,
366,
14941,
286,
5964,
1,
796,
705,
4743,
641,
8953,
11,
649,
331,
967,
6
] |
Name the tourism receipts 2003 for colombia | SELECT tourism_receipts__2003___as__percentage_of_gdp_ FROM table_18524_6 WHERE country = "Colombia" | [
5376,
262,
19277,
29946,
5816,
329,
951,
2381,
544,
46506,
19277,
62,
260,
344,
10257,
82,
834,
16088,
17569,
292,
834,
25067,
496,
62,
1659,
62,
21287,
79,
62,
16034,
3084,
62,
21652,
1731,
62,
21,
33411,
1499,
796,
366,
5216,
2381,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19277,
29946,
5816,
329,
951,
2381,
544,
46506,
19277,
62,
260,
344,
10257,
82,
834,
16088,
17569,
292,
834,
25067,
496,
62,
1659,
62,
21287,
79,
62,
16034,
3084,
62,
21652,
1731,
62,
21,
33411,
1499,
796,
366,
5216,
2381,
... |
had patient 30763 been until 1 year ago diagnosed with delirium d/t other cond? | SELECT COUNT(*) > 0 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'delirium d/t other cond') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30763) AND DATETIME(diagnoses... | [
18108,
5827,
1542,
49641,
587,
1566,
352,
614,
2084,
14641,
351,
1619,
343,
1505,
288,
14,
83,
584,
1779,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
40567,
62,
291,
67,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
18108,
5827,
1542,
49641,
587,
1566,
352,
614,
2084,
14641,
351,
1619,
343,
1505,
288,
14,
83,
584,
1779,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
40567,
62,
291,
67,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
... |
Who was drafted by the calgary stampeders? | SELECT player FROM table_24540893_6 WHERE cfl_team = "Calgary Stampeders" | [
8241,
373,
15937,
416,
262,
2386,
14849,
28305,
364,
30,
46506,
2137,
16034,
3084,
62,
22995,
1821,
49682,
62,
21,
33411,
269,
2704,
62,
15097,
796,
366,
9771,
14849,
520,
13322,
364,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15937,
416,
262,
2386,
14849,
28305,
364,
30,
46506,
2137,
16034,
3084,
62,
22995,
1821,
49682,
62,
21,
33411,
269,
2704,
62,
15097,
796,
366,
9771,
14849,
520,
13322,
364,
1
] |
What is the Result with a Score of 1 0, and a Date with 18 april 2009? | SELECT result FROM table_name_35 WHERE score = "1–0" AND date = "18 april 2009" | [
2061,
318,
262,
25414,
351,
257,
15178,
286,
352,
657,
11,
290,
257,
7536,
351,
1248,
46593,
346,
3717,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
2327,
33411,
4776,
796,
366,
16,
1906,
15,
1,
5357,
3128,
796,
366,
1507,
46593,
346... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
25414,
351,
257,
15178,
286,
352,
657,
11,
290,
257,
7536,
351,
1248,
46593,
346,
3717,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
2327,
33411,
4776,
796,
366,
16,
1906,
15,
1,
5357,
3128,
796,
366,
1507,
46593,
346... |
what's the number of inputs patient 16368 has received? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16368)) | [
10919,
338,
262,
1271,
286,
17311,
5827,
1467,
27412,
468,
2722,
30,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
33967,
13,
291,
43... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
338,
262,
1271,
286,
17311,
5827,
1467,
27412,
468,
2722,
30,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
33967,
13,
291,
43... |
papers from 2014 | SELECT DISTINCT paperid FROM paper WHERE year = 2014 | [
40491,
422,
1946,
46506,
360,
8808,
1268,
4177,
3348,
312,
16034,
3348,
33411,
614,
796,
1946
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
40491,
422,
1946,
46506,
360,
8808,
1268,
4177,
3348,
312,
16034,
3348,
33411,
614,
796,
1946
] |
How many players attended Hillcrest High School? | SELECT COUNT(college) FROM table_11677691_1 WHERE school = "Hillcrest High school" | [
2437,
867,
1938,
9141,
3327,
66,
2118,
3334,
3961,
30,
46506,
327,
28270,
7,
44107,
8,
16034,
3084,
62,
1157,
40179,
49541,
62,
16,
33411,
1524,
796,
366,
36369,
66,
2118,
3334,
1524,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
1938,
9141,
3327,
66,
2118,
3334,
3961,
30,
46506,
327,
28270,
7,
44107,
8,
16034,
3084,
62,
1157,
40179,
49541,
62,
16,
33411,
1524,
796,
366,
36369,
66,
2118,
3334,
1524,
1
] |
What was Eduardo Romero's score? | SELECT "Score" FROM table_62192 WHERE "Player" = 'eduardo romero' | [
2061,
373,
40766,
13109,
38623,
338,
4776,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
5237,
17477,
33411,
366,
14140,
1,
796,
705,
15532,
13109,
9267,
3529,
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
] | [
2061,
373,
40766,
13109,
38623,
338,
4776,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
5237,
17477,
33411,
366,
14140,
1,
796,
705,
15532,
13109,
9267,
3529,
6
] |
find the number of black/haitian patients who have had elective hospital admission. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.ethnicity = "BLACK/HAITIAN" | [
19796,
262,
1271,
286,
2042,
14,
3099,
270,
666,
3871,
508,
423,
550,
1742,
425,
4436,
13938,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
19796,
262,
1271,
286,
2042,
14,
3099,
270,
666,
3871,
508,
423,
550,
1742,
425,
4436,
13938,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
36... |
What was the record on January 17? | SELECT "Record" FROM table_65657 WHERE "Date" = 'january 17' | [
2061,
373,
262,
1700,
319,
3269,
1596,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
2996,
37680,
33411,
366,
10430,
1,
796,
705,
13881,
2838,
1596,
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,
373,
262,
1700,
319,
3269,
1596,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
2996,
37680,
33411,
366,
10430,
1,
796,
705,
13881,
2838,
1596,
6
] |
Show mean max(price) from each year, display in ascending by the Y. | SELECT Year, AVG(MAX(Price)) FROM wine ORDER BY AVG(MAX(Price)) | [
15307,
1612,
3509,
7,
20888,
8,
422,
1123,
614,
11,
3359,
287,
41988,
416,
262,
575,
13,
46506,
6280,
11,
35224,
7,
22921,
7,
18124,
4008,
16034,
8237,
38678,
11050,
35224,
7,
22921,
7,
18124,
4008
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1612,
3509,
7,
20888,
8,
422,
1123,
614,
11,
3359,
287,
41988,
416,
262,
575,
13,
46506,
6280,
11,
35224,
7,
22921,
7,
18124,
4008,
16034,
8237,
38678,
11050,
35224,
7,
22921,
7,
18124,
4008
] |
Who was the winner from the Rip Curl Pro Search? | SELECT "Winner" FROM table_41484 WHERE "Event" = 'rip curl pro search' | [
8241,
373,
262,
8464,
422,
262,
29496,
4424,
75,
1041,
11140,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
37309,
5705,
33411,
366,
9237,
1,
796,
705,
5528,
29249,
386,
2989,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
373,
262,
8464,
422,
262,
29496,
4424,
75,
1041,
11140,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
37309,
5705,
33411,
366,
9237,
1,
796,
705,
5528,
29249,
386,
2989,
6
] |
What's the stepping amount for adh4450iaa5do? | SELECT "Stepping" FROM table_33932 WHERE "Part Number(s)" = 'adh4450iaa5do' | [
2061,
338,
262,
17413,
2033,
329,
512,
71,
2598,
1120,
544,
64,
20,
4598,
30,
46506,
366,
7447,
2105,
1,
16034,
3084,
62,
29626,
2624,
33411,
366,
7841,
7913,
7,
82,
16725,
796,
705,
24411,
2598,
1120,
544,
64,
20,
4598,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
338,
262,
17413,
2033,
329,
512,
71,
2598,
1120,
544,
64,
20,
4598,
30,
46506,
366,
7447,
2105,
1,
16034,
3084,
62,
29626,
2624,
33411,
366,
7841,
7913,
7,
82,
16725,
796,
705,
24411,
2598,
1120,
544,
64,
20,
4598,
6
] |
what is the number of people in the liberal party ? | SELECT COUNT("name") FROM table_203_407 WHERE "party" = 'liberal' | [
10919,
318,
262,
1271,
286,
661,
287,
262,
7270,
2151,
5633,
46506,
327,
28270,
7203,
3672,
4943,
16034,
3084,
62,
22416,
62,
30120,
33411,
366,
10608,
1,
796,
705,
35739,
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
] | [
10919,
318,
262,
1271,
286,
661,
287,
262,
7270,
2151,
5633,
46506,
327,
28270,
7203,
3672,
4943,
16034,
3084,
62,
22416,
62,
30120,
33411,
366,
10608,
1,
796,
705,
35739,
6
] |
What player scored 73-68-66=207? | SELECT player FROM table_name_78 WHERE score = 73 - 68 - 66 = 207 | [
2061,
2137,
7781,
8854,
12,
3104,
12,
2791,
28,
22745,
30,
46506,
2137,
16034,
3084,
62,
3672,
62,
3695,
33411,
4776,
796,
8854,
532,
8257,
532,
7930,
796,
27791
] | [
1,
1,
1,
1,
1,
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,
2137,
7781,
8854,
12,
3104,
12,
2791,
28,
22745,
30,
46506,
2137,
16034,
3084,
62,
3672,
62,
3695,
33411,
4776,
796,
8854,
532,
8257,
532,
7930,
796,
27791
] |
Which masthead ends on oct 69? | SELECT masthead FROM table_name_15 WHERE end_month = "oct–69" | [
13828,
17288,
2256,
5645,
319,
19318,
8644,
30,
46506,
17288,
2256,
16034,
3084,
62,
3672,
62,
1314,
33411,
886,
62,
8424,
796,
366,
38441,
1906,
3388,
1
] | [
1,
1,
1,
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,
17288,
2256,
5645,
319,
19318,
8644,
30,
46506,
17288,
2256,
16034,
3084,
62,
3672,
62,
1314,
33411,
886,
62,
8424,
796,
366,
38441,
1906,
3388,
1
] |
count the number of patients diagnosed with angioneurotic edema who had abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Angioneurotic edema" AND lab.flag = "abnormal" | [
9127,
262,
1271,
286,
3871,
14641,
351,
3550,
7935,
1434,
13370,
1225,
19687,
508,
550,
18801,
2248,
1332,
3722,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9127,
262,
1271,
286,
3871,
14641,
351,
3550,
7935,
1434,
13370,
1225,
19687,
508,
550,
18801,
2248,
1332,
3722,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567... |
Which Years at club have a Debut year of 1930, and Games larger than 7, and a Player of colin benham? | SELECT years_at_club FROM table_name_38 WHERE debut_year = 1930 AND games > 7 AND player = "colin benham" | [
13828,
13212,
379,
3430,
423,
257,
1024,
4360,
614,
286,
15533,
11,
290,
5776,
4025,
621,
767,
11,
290,
257,
7853,
286,
951,
259,
1888,
2763,
30,
46506,
812,
62,
265,
62,
18664,
16034,
3084,
62,
3672,
62,
2548,
33411,
8886,
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,
1,
1,
1,
1,
1
] | [
13828,
13212,
379,
3430,
423,
257,
1024,
4360,
614,
286,
15533,
11,
290,
5776,
4025,
621,
767,
11,
290,
257,
7853,
286,
951,
259,
1888,
2763,
30,
46506,
812,
62,
265,
62,
18664,
16034,
3084,
62,
3672,
62,
2548,
33411,
8886,
62,
1941... |
What is the country with a 66-70-69=205 score? | SELECT country FROM table_name_21 WHERE score = 66 - 70 - 69 = 205 | [
2061,
318,
262,
1499,
351,
257,
7930,
12,
2154,
12,
3388,
28,
21261,
4776,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
2481,
33411,
4776,
796,
7930,
532,
4317,
532,
8644,
796,
22538
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1499,
351,
257,
7930,
12,
2154,
12,
3388,
28,
21261,
4776,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
2481,
33411,
4776,
796,
7930,
532,
4317,
532,
8644,
796,
22538
] |
For each submission, find its author and acceptance result. | SELECT T2.author, T1.result FROM acceptance AS T1 JOIN submission AS T2 ON T1.submission_id = T2.submission_id | [
1890,
1123,
14498,
11,
1064,
663,
1772,
290,
13427,
1255,
13,
46506,
309,
17,
13,
9800,
11,
309,
16,
13,
20274,
16034,
13427,
7054,
309,
16,
32357,
1268,
14498,
7054,
309,
17,
6177,
309,
16,
13,
7266,
3411,
62,
312,
796,
309,
17,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
1123,
14498,
11,
1064,
663,
1772,
290,
13427,
1255,
13,
46506,
309,
17,
13,
9800,
11,
309,
16,
13,
20274,
16034,
13427,
7054,
309,
16,
32357,
1268,
14498,
7054,
309,
17,
6177,
309,
16,
13,
7266,
3411,
62,
312,
796,
309,
17,
... |
Which Winner and score has a Finalist of aaron krickstein? | SELECT "Winner and score" FROM table_50562 WHERE "Finalist" = 'aaron krickstein' | [
13828,
25358,
290,
4776,
468,
257,
8125,
396,
286,
257,
8045,
479,
5557,
5714,
30,
46506,
366,
48056,
290,
4776,
1,
16034,
3084,
62,
1120,
43918,
33411,
366,
19006,
396,
1,
796,
705,
64,
8045,
479,
5557,
5714,
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
] | [
13828,
25358,
290,
4776,
468,
257,
8125,
396,
286,
257,
8045,
479,
5557,
5714,
30,
46506,
366,
48056,
290,
4776,
1,
16034,
3084,
62,
1120,
43918,
33411,
366,
19006,
396,
1,
796,
705,
64,
8045,
479,
5557,
5714,
6
] |
Which staff handled least number of payments? List the full name and the id. | SELECT T1.first_name, T1.last_name, T1.staff_id FROM staff AS T1 JOIN payment AS T2 ON T1.staff_id = T2.staff_id GROUP BY T1.staff_id ORDER BY COUNT(*) LIMIT 1 | [
13828,
3085,
12118,
1551,
1271,
286,
7524,
30,
7343,
262,
1336,
1438,
290,
262,
4686,
13,
46506,
309,
16,
13,
11085,
62,
3672,
11,
309,
16,
13,
12957,
62,
3672,
11,
309,
16,
13,
28120,
62,
312,
16034,
3085,
7054,
309,
16,
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... | [
13828,
3085,
12118,
1551,
1271,
286,
7524,
30,
7343,
262,
1336,
1438,
290,
262,
4686,
13,
46506,
309,
16,
13,
11085,
62,
3672,
11,
309,
16,
13,
12957,
62,
3672,
11,
309,
16,
13,
28120,
62,
312,
16034,
3085,
7054,
309,
16,
32357,
1... |
What was the 2008 result associated with a 2009 of A and a 2011 of 2R? | SELECT "2008" FROM table_67937 WHERE "2009" = 'a' AND "2011" = '2r' | [
2061,
373,
262,
3648,
1255,
3917,
351,
257,
3717,
286,
317,
290,
257,
2813,
286,
362,
49,
30,
46506,
366,
11528,
1,
16034,
3084,
62,
37601,
2718,
33411,
366,
10531,
1,
796,
705,
64,
6,
5357,
366,
9804,
1,
796,
705,
17,
81,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
3648,
1255,
3917,
351,
257,
3717,
286,
317,
290,
257,
2813,
286,
362,
49,
30,
46506,
366,
11528,
1,
16034,
3084,
62,
37601,
2718,
33411,
366,
10531,
1,
796,
705,
64,
6,
5357,
366,
9804,
1,
796,
705,
17,
81,
6
] |
For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the sum of employee_id bin hire_date by weekday, and visualize them by a bar chart, rank Y-axis from low to high order. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(EMPLOYEE_ID) | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1064,
11078,
62,
4475,
290,
262,
2160,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
11,
290,
38350,
606,
416,
257,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1064,
11078,
62,
4475,
290,
262,
2160,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
11,
290,
38350,
606,
416,
257,... |
what is the number of patients whose drug type is additive and lab test name is rdw? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "ADDITIVE" AND lab.label = "RDW" | [
10919,
318,
262,
1271,
286,
3871,
3025,
2563,
2099,
318,
38298,
290,
2248,
1332,
1438,
318,
374,
67,
86,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
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... | [
10919,
318,
262,
1271,
286,
3871,
3025,
2563,
2099,
318,
38298,
290,
2248,
1332,
1438,
318,
374,
67,
86,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177... |
what is the event when gold is darren kenny great britain (gbr)? | SELECT event FROM table_name_1 WHERE gold = "darren kenny great britain (gbr)" | [
10919,
318,
262,
1785,
618,
3869,
318,
288,
283,
918,
479,
11870,
1049,
275,
799,
391,
357,
70,
1671,
19427,
46506,
1785,
16034,
3084,
62,
3672,
62,
16,
33411,
3869,
796,
366,
27455,
918,
479,
11870,
1049,
275,
799,
391,
357,
70,
16... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
1785,
618,
3869,
318,
288,
283,
918,
479,
11870,
1049,
275,
799,
391,
357,
70,
1671,
19427,
46506,
1785,
16034,
3084,
62,
3672,
62,
16,
33411,
3869,
796,
366,
27455,
918,
479,
11870,
1049,
275,
799,
391,
357,
70,
16... |
What is the number of females that has the Polish language? | SELECT females FROM table_name_66 WHERE language = "polish" | [
2061,
318,
262,
1271,
286,
12366,
326,
468,
262,
15945,
3303,
30,
46506,
12366,
16034,
3084,
62,
3672,
62,
2791,
33411,
3303,
796,
366,
16104,
680,
1
] | [
1,
1,
1,
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,
12366,
326,
468,
262,
15945,
3303,
30,
46506,
12366,
16034,
3084,
62,
3672,
62,
2791,
33411,
3303,
796,
366,
16104,
680,
1
] |
Which Genre has a Game of tony hawk's pro skater 2? | SELECT genre FROM table_name_12 WHERE game = "tony hawk's pro skater 2" | [
13828,
5215,
260,
468,
257,
3776,
286,
256,
1647,
48710,
338,
386,
1341,
729,
362,
30,
46506,
12121,
16034,
3084,
62,
3672,
62,
1065,
33411,
983,
796,
366,
1122,
88,
48710,
338,
386,
1341,
729,
362,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
5215,
260,
468,
257,
3776,
286,
256,
1647,
48710,
338,
386,
1341,
729,
362,
30,
46506,
12121,
16034,
3084,
62,
3672,
62,
1065,
33411,
983,
796,
366,
1122,
88,
48710,
338,
386,
1341,
729,
362,
1
] |
What is the maximum 2002 figure when 2008 is 19.5, 2006 is less than 24.5 and 1999 is 18.3? | SELECT MAX("2002") FROM table_9820 WHERE "2008" > '19.5' AND "2006" < '24.5' AND "1999" = '18.3' | [
2061,
318,
262,
5415,
6244,
3785,
618,
3648,
318,
678,
13,
20,
11,
4793,
318,
1342,
621,
1987,
13,
20,
290,
7358,
318,
1248,
13,
18,
30,
46506,
25882,
7203,
16942,
4943,
16034,
3084,
62,
4089,
1238,
33411,
366,
11528,
1,
1875,
705,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
318,
262,
5415,
6244,
3785,
618,
3648,
318,
678,
13,
20,
11,
4793,
318,
1342,
621,
1987,
13,
20,
290,
7358,
318,
1248,
13,
18,
30,
46506,
25882,
7203,
16942,
4943,
16034,
3084,
62,
4089,
1238,
33411,
366,
11528,
1,
1875,
705,
... |
What is Thad Jemison's position? | SELECT position FROM table_name_85 WHERE player = "thad jemison" | [
2061,
318,
536,
324,
48199,
1653,
338,
2292,
30,
46506,
2292,
16034,
3084,
62,
3672,
62,
5332,
33411,
2137,
796,
366,
400,
324,
474,
368,
1653,
1
] | [
1,
1,
1,
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,
536,
324,
48199,
1653,
338,
2292,
30,
46506,
2292,
16034,
3084,
62,
3672,
62,
5332,
33411,
2137,
796,
366,
400,
324,
474,
368,
1653,
1
] |
What nations participated in 2007? | SELECT "Nations" FROM table_66466 WHERE "Year" = '2007' | [
2061,
7027,
14888,
287,
4343,
30,
46506,
366,
45,
602,
1,
16034,
3084,
62,
21,
2414,
2791,
33411,
366,
17688,
1,
796,
705,
12726,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
7027,
14888,
287,
4343,
30,
46506,
366,
45,
602,
1,
16034,
3084,
62,
21,
2414,
2791,
33411,
366,
17688,
1,
796,
705,
12726,
6
] |
Return the average and minimum age of captains in each class. | SELECT AVG(age), MIN(age), class FROM captain GROUP BY class | [
13615,
262,
2811,
290,
5288,
2479,
286,
37551,
287,
1123,
1398,
13,
46506,
35224,
7,
496,
828,
20625,
7,
496,
828,
1398,
16034,
10654,
44441,
11050,
1398
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13615,
262,
2811,
290,
5288,
2479,
286,
37551,
287,
1123,
1398,
13,
46506,
35224,
7,
496,
828,
20625,
7,
496,
828,
1398,
16034,
10654,
44441,
11050,
1398
] |
For all employees who have the letters D or S in their first name, for salary, hire_date, visualize the trend. | SELECT HIRE_DATE, SALARY FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
329,
9588,
11,
11078,
62,
4475,
11,
38350,
262,
5182,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
42475,
13153,
16034,
4409,
33411,
31328,
62,
20608,
34178,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
329,
9588,
11,
11078,
62,
4475,
11,
38350,
262,
5182,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
42475,
13153,
16034,
4409,
33411,
31328,
62,
20608,
34178,
... |
What is XII Season, when Episode is 6? | SELECT "XII Season" FROM table_6796 WHERE "Episode" = '6' | [
2061,
318,
39284,
7369,
11,
618,
7922,
318,
718,
30,
46506,
366,
55,
3978,
7369,
1,
16034,
3084,
62,
3134,
4846,
33411,
366,
23758,
1,
796,
705,
21,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
39284,
7369,
11,
618,
7922,
318,
718,
30,
46506,
366,
55,
3978,
7369,
1,
16034,
3084,
62,
3134,
4846,
33411,
366,
23758,
1,
796,
705,
21,
6
] |
Show all cities where at least one customer lives in but no performer lives in. | SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID | [
15307,
477,
4736,
810,
379,
1551,
530,
6491,
3160,
287,
475,
645,
26960,
3160,
287,
13,
46506,
309,
16,
13,
14941,
62,
38097,
16034,
3060,
16746,
7054,
309,
16,
32357,
1268,
36707,
7054,
309,
17,
6177,
309,
16,
13,
20231,
62,
2389,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
15307,
477,
4736,
810,
379,
1551,
530,
6491,
3160,
287,
475,
645,
26960,
3160,
287,
13,
46506,
309,
16,
13,
14941,
62,
38097,
16034,
3060,
16746,
7054,
309,
16,
32357,
1268,
36707,
7054,
309,
17,
6177,
309,
16,
13,
20231,
62,
2389,
... |
What is the total of apps for Keith Treacy? | SELECT SUM(apps) FROM table_name_37 WHERE name = "keith treacy" | [
2061,
318,
262,
2472,
286,
6725,
329,
14926,
4700,
1590,
30,
46506,
35683,
7,
18211,
8,
16034,
3084,
62,
3672,
62,
2718,
33411,
1438,
796,
366,
365,
342,
2054,
1590,
1
] | [
1,
1,
1,
1,
1,
1,
1,
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,
286,
6725,
329,
14926,
4700,
1590,
30,
46506,
35683,
7,
18211,
8,
16034,
3084,
62,
3672,
62,
2718,
33411,
1438,
796,
366,
365,
342,
2054,
1590,
1
] |
WHich Venue has a Year larger than 2003, and a Position of 10th? | SELECT "Venue" FROM table_8718 WHERE "Year" > '2003' AND "Position" = '10th' | [
12418,
488,
9932,
518,
468,
257,
6280,
4025,
621,
5816,
11,
290,
257,
23158,
286,
838,
400,
30,
46506,
366,
37522,
518,
1,
16034,
3084,
62,
5774,
1507,
33411,
366,
17688,
1,
1875,
705,
16088,
6,
5357,
366,
26545,
1,
796,
705,
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
] | [
12418,
488,
9932,
518,
468,
257,
6280,
4025,
621,
5816,
11,
290,
257,
23158,
286,
838,
400,
30,
46506,
366,
37522,
518,
1,
16034,
3084,
62,
5774,
1507,
33411,
366,
17688,
1,
1875,
705,
16088,
6,
5357,
366,
26545,
1,
796,
705,
940,
... |
What's the 1st leg score when Team 1 was Gor Mahia? | SELECT "1st leg" FROM table_68476 WHERE "Team 1" = 'gor mahia' | [
2061,
338,
262,
352,
301,
1232,
4776,
618,
4816,
352,
373,
19097,
8882,
544,
30,
46506,
366,
16,
301,
1232,
1,
16034,
3084,
62,
3104,
35435,
33411,
366,
15592,
352,
1,
796,
705,
7053,
42768,
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
] | [
2061,
338,
262,
352,
301,
1232,
4776,
618,
4816,
352,
373,
19097,
8882,
544,
30,
46506,
366,
16,
301,
1232,
1,
16034,
3084,
62,
3104,
35435,
33411,
366,
15592,
352,
1,
796,
705,
7053,
42768,
544,
6
] |
R/A Flags Before and After HNQ. | SELECT COUNT(*) FROM Votes WHERE VoteTypeId = 4 AND CreationDate > '2018-10-18 00:00:00.000' | [
49,
14,
32,
34771,
7413,
290,
2293,
367,
45,
48,
13,
46506,
327,
28270,
7,
28104,
16034,
39584,
33411,
19175,
6030,
7390,
796,
604,
5357,
21582,
10430,
1875,
705,
7908,
12,
940,
12,
1507,
3571,
25,
405,
25,
405,
13,
830,
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
] | [
49,
14,
32,
34771,
7413,
290,
2293,
367,
45,
48,
13,
46506,
327,
28270,
7,
28104,
16034,
39584,
33411,
19175,
6030,
7390,
796,
604,
5357,
21582,
10430,
1875,
705,
7908,
12,
940,
12,
1507,
3571,
25,
405,
25,
405,
13,
830,
6
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.