instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|
What is the attendance amount of the race with a time of 2:07? | SELECT MAX("Attendance") FROM table_69340 WHERE "Time" = '2:07' | [
2061,
318,
262,
14858,
2033,
286,
262,
3234,
351,
257,
640,
286,
362,
25,
2998,
30,
46506,
25882,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
3388,
23601,
33411,
366,
7575,
1,
796,
705,
17,
25,
2998,
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
]
| [
2061,
318,
262,
14858,
2033,
286,
262,
3234,
351,
257,
640,
286,
362,
25,
2998,
30,
46506,
25882,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
3388,
23601,
33411,
366,
7575,
1,
796,
705,
17,
25,
2998,
6
]
|
What is the highest round with a guard position and an overall greater than 71? | SELECT MAX("Round") FROM table_39003 WHERE "Position" = 'guard' AND "Overall" > '71' | [
2061,
318,
262,
4511,
2835,
351,
257,
4860,
2292,
290,
281,
4045,
3744,
621,
9166,
30,
46506,
25882,
7203,
22685,
4943,
16034,
3084,
62,
2670,
11245,
33411,
366,
26545,
1,
796,
705,
14864,
6,
5357,
366,
16350,
1,
1875,
705,
4869,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
4511,
2835,
351,
257,
4860,
2292,
290,
281,
4045,
3744,
621,
9166,
30,
46506,
25882,
7203,
22685,
4943,
16034,
3084,
62,
2670,
11245,
33411,
366,
26545,
1,
796,
705,
14864,
6,
5357,
366,
16350,
1,
1875,
705,
4869,
6
]
|
What is the grid total for cars that went 17 laps? | SELECT SUM(grid) FROM table_name_60 WHERE laps = 17 | [
2061,
318,
262,
10706,
2472,
329,
5006,
326,
1816,
1596,
24590,
30,
46506,
35683,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
1899,
33411,
24590,
796,
1596
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
10706,
2472,
329,
5006,
326,
1816,
1596,
24590,
30,
46506,
35683,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
1899,
33411,
24590,
796,
1596
]
|
What was Eric Dickerson's longest run? | SELECT COUNT(longest_run) FROM table_11157122_5 WHERE player = "Eric Dickerson" | [
2061,
373,
7651,
11740,
882,
338,
14069,
1057,
30,
46506,
327,
28270,
7,
6511,
395,
62,
5143,
8,
16034,
3084,
62,
1157,
18458,
18376,
62,
20,
33411,
2137,
796,
366,
25004,
11740,
882,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7651,
11740,
882,
338,
14069,
1057,
30,
46506,
327,
28270,
7,
6511,
395,
62,
5143,
8,
16034,
3084,
62,
1157,
18458,
18376,
62,
20,
33411,
2137,
796,
366,
25004,
11740,
882,
1
]
|
provide the number of patients whose marital status is married and lab test category is hematology? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab."CATEGORY" = "Hematology" | [
15234,
485,
262,
1271,
286,
3871,
3025,
29555,
3722,
318,
6405,
290,
2248,
1332,
6536,
318,
339,
6759,
1435,
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,
3876,
1287,
62,
13376,
796,
366,
40569,
7112,
1961,
1,
5357,
2248,
526,
34,
6158,
38,
15513,
1,
796,
366,
39,
368,
265,
1435,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
15234,
485,
262,
1271,
286,
3871,
3025,
29555,
3722,
318,
6405,
290,
2248,
1332,
6536,
318,
339,
6759,
1435,
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,
3876,
1287,
62,
13376,
796,
366,
40569,
7112,
1961,
1,
5357,
2248,
526,
34,
6158,
38,
15513,
1,
796,
366,
39,
368,
265,
1435,
1
]
|
How many draws correspond to more than 11 losses in a match less than 14? | SELECT COUNT("Draw") FROM table_42393 WHERE "Lost" > '11' AND "Match" < '14' | [
2437,
867,
14293,
6053,
284,
517,
621,
1367,
9089,
287,
257,
2872,
1342,
621,
1478,
30,
46506,
327,
28270,
7203,
25302,
4943,
16034,
3084,
62,
43356,
6052,
33411,
366,
31042,
1,
1875,
705,
1157,
6,
5357,
366,
23850,
1,
1279,
705,
1415,
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
]
| [
2437,
867,
14293,
6053,
284,
517,
621,
1367,
9089,
287,
257,
2872,
1342,
621,
1478,
30,
46506,
327,
28270,
7203,
25302,
4943,
16034,
3084,
62,
43356,
6052,
33411,
366,
31042,
1,
1875,
705,
1157,
6,
5357,
366,
23850,
1,
1279,
705,
1415,
6
]
|
Who was the Class AA winner when Plains was Class A winner and Lubbock was Class AAAAA winner? | SELECT "Class AA" FROM table_19432 WHERE "Class A" = 'Plains' AND "Class AAAAA" = 'Lubbock' | [
8241,
373,
262,
5016,
15923,
8464,
618,
31981,
373,
5016,
317,
8464,
290,
406,
33670,
735,
373,
5016,
317,
17922,
8464,
30,
46506,
366,
9487,
15923,
1,
16034,
3084,
62,
22913,
2624,
33411,
366,
9487,
317,
1,
796,
705,
3646,
1299,
6,
5357,
366,
9487,
317,
17922,
1,
796,
705,
43,
33670,
735,
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
]
| [
8241,
373,
262,
5016,
15923,
8464,
618,
31981,
373,
5016,
317,
8464,
290,
406,
33670,
735,
373,
5016,
317,
17922,
8464,
30,
46506,
366,
9487,
15923,
1,
16034,
3084,
62,
22913,
2624,
33411,
366,
9487,
317,
1,
796,
705,
3646,
1299,
6,
5357,
366,
9487,
317,
17922,
1,
796,
705,
43,
33670,
735,
6
]
|
Album # of 1st was released on what date? | SELECT released FROM table_name_6 WHERE album_number = "1st" | [
2348,
4435,
1303,
286,
352,
301,
373,
2716,
319,
644,
3128,
30,
46506,
2716,
16034,
3084,
62,
3672,
62,
21,
33411,
5062,
62,
17618,
796,
366,
16,
301,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2348,
4435,
1303,
286,
352,
301,
373,
2716,
319,
644,
3128,
30,
46506,
2716,
16034,
3084,
62,
3672,
62,
21,
33411,
5062,
62,
17618,
796,
366,
16,
301,
1
]
|
What is the date of the games that saw a record of 43.66 m? | SELECT "Date" FROM table_13472 WHERE "Record" = '43.66 m' | [
2061,
318,
262,
3128,
286,
262,
1830,
326,
2497,
257,
1700,
286,
5946,
13,
2791,
285,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1485,
37856,
33411,
366,
23739,
1,
796,
705,
3559,
13,
2791,
285,
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,
318,
262,
3128,
286,
262,
1830,
326,
2497,
257,
1700,
286,
5946,
13,
2791,
285,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1485,
37856,
33411,
366,
23739,
1,
796,
705,
3559,
13,
2791,
285,
6
]
|
What was the average Points of the season driver Fernando Alonso had a percentage of possible points of 53.05%? | SELECT AVG("Points") FROM table_34904 WHERE "Driver" = 'fernando alonso' AND "Percentage of possible points" = '53.05%' | [
2061,
373,
262,
2811,
11045,
286,
262,
1622,
4639,
31063,
36345,
550,
257,
5873,
286,
1744,
2173,
286,
7192,
13,
2713,
4,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
27371,
3023,
33411,
366,
32103,
1,
796,
705,
69,
13023,
78,
435,
26666,
6,
5357,
366,
31905,
496,
286,
1744,
2173,
1,
796,
705,
4310,
13,
2713,
4,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
373,
262,
2811,
11045,
286,
262,
1622,
4639,
31063,
36345,
550,
257,
5873,
286,
1744,
2173,
286,
7192,
13,
2713,
4,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
27371,
3023,
33411,
366,
32103,
1,
796,
705,
69,
13023,
78,
435,
26666,
6,
5357,
366,
31905,
496,
286,
1744,
2173,
1,
796,
705,
4310,
13,
2713,
4,
6
]
|
4th Runner-up smaller than 1, and a 5th Runner-up of 0, and a Miss World smaller than 2 has which lowest 3rd Runner-up? | SELECT MIN("3rd Runner-up") FROM table_39334 WHERE "4th Runner-up" < '1' AND "5th Runner-up" = '0' AND "Miss World" < '2' | [
19,
400,
21529,
12,
929,
4833,
621,
352,
11,
290,
257,
642,
400,
21529,
12,
929,
286,
657,
11,
290,
257,
4544,
2159,
4833,
621,
362,
468,
543,
9016,
513,
4372,
21529,
12,
929,
30,
46506,
20625,
7203,
18,
4372,
21529,
12,
929,
4943,
16034,
3084,
62,
2670,
31380,
33411,
366,
19,
400,
21529,
12,
929,
1,
1279,
705,
16,
6,
5357,
366,
20,
400,
21529,
12,
929,
1,
796,
705,
15,
6,
5357,
366,
17140,
2159,
1,
1279,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
19,
400,
21529,
12,
929,
4833,
621,
352,
11,
290,
257,
642,
400,
21529,
12,
929,
286,
657,
11,
290,
257,
4544,
2159,
4833,
621,
362,
468,
543,
9016,
513,
4372,
21529,
12,
929,
30,
46506,
20625,
7203,
18,
4372,
21529,
12,
929,
4943,
16034,
3084,
62,
2670,
31380,
33411,
366,
19,
400,
21529,
12,
929,
1,
1279,
705,
16,
6,
5357,
366,
20,
400,
21529,
12,
929,
1,
796,
705,
15,
6,
5357,
366,
17140,
2159,
1,
1279,
705,
17,
6
]
|
How much money does the player with a to par less than 4 and a score of 74-72-68-73=287 have? | SELECT money___$__ FROM table_name_75 WHERE to_par < 4 AND score = 74 - 72 - 68 - 73 = 287 | [
2437,
881,
1637,
857,
262,
2137,
351,
257,
284,
1582,
1342,
621,
604,
290,
257,
4776,
286,
8915,
12,
4761,
12,
3104,
12,
4790,
28,
27800,
423,
30,
46506,
1637,
17569,
3,
834,
16034,
3084,
62,
3672,
62,
2425,
33411,
284,
62,
1845,
1279,
604,
5357,
4776,
796,
8915,
532,
7724,
532,
8257,
532,
8854,
796,
38721
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
881,
1637,
857,
262,
2137,
351,
257,
284,
1582,
1342,
621,
604,
290,
257,
4776,
286,
8915,
12,
4761,
12,
3104,
12,
4790,
28,
27800,
423,
30,
46506,
1637,
17569,
3,
834,
16034,
3084,
62,
3672,
62,
2425,
33411,
284,
62,
1845,
1279,
604,
5357,
4776,
796,
8915,
532,
7724,
532,
8257,
532,
8854,
796,
38721
]
|
What is Place, when Weapon is '35mm/Small arms fire'? | SELECT "Place" FROM table_43970 WHERE "Weapon" = '35mm/small arms fire' | [
2061,
318,
8474,
11,
618,
13072,
318,
705,
2327,
3020,
14,
18712,
5101,
2046,
30960,
46506,
366,
27271,
1,
16034,
3084,
62,
47106,
2154,
33411,
366,
27632,
1,
796,
705,
2327,
3020,
14,
17470,
5101,
2046,
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,
318,
8474,
11,
618,
13072,
318,
705,
2327,
3020,
14,
18712,
5101,
2046,
30960,
46506,
366,
27271,
1,
16034,
3084,
62,
47106,
2154,
33411,
366,
27632,
1,
796,
705,
2327,
3020,
14,
17470,
5101,
2046,
6
]
|
Which Nationality has a Lane of 5, and a Time of 7:08.04? | SELECT nationality FROM table_name_36 WHERE lane = 5 AND time = "7:08.04" | [
13828,
2351,
414,
468,
257,
15016,
286,
642,
11,
290,
257,
3862,
286,
767,
25,
2919,
13,
3023,
30,
46506,
29835,
16034,
3084,
62,
3672,
62,
2623,
33411,
11193,
796,
642,
5357,
640,
796,
366,
22,
25,
2919,
13,
3023,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2351,
414,
468,
257,
15016,
286,
642,
11,
290,
257,
3862,
286,
767,
25,
2919,
13,
3023,
30,
46506,
29835,
16034,
3084,
62,
3672,
62,
2623,
33411,
11193,
796,
642,
5357,
640,
796,
366,
22,
25,
2919,
13,
3023,
1
]
|
What arena was season 6 played at? | SELECT "Arena (capacity)" FROM table_19074 WHERE "Previous season" = '6' | [
2061,
13478,
373,
1622,
718,
2826,
379,
30,
46506,
366,
43199,
64,
357,
42404,
16725,
16034,
3084,
62,
1129,
2998,
19,
33411,
366,
21448,
1622,
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,
1
]
| [
2061,
13478,
373,
1622,
718,
2826,
379,
30,
46506,
366,
43199,
64,
357,
42404,
16725,
16034,
3084,
62,
1129,
2998,
19,
33411,
366,
21448,
1622,
1,
796,
705,
21,
6
]
|
Plot the number of county by grouped by county as a bar graph | SELECT County, COUNT(County) FROM appellations GROUP BY County | [
43328,
262,
1271,
286,
7968,
416,
32824,
416,
7968,
355,
257,
2318,
4823,
46506,
3418,
11,
327,
28270,
7,
12332,
88,
8,
16034,
24781,
602,
44441,
11050,
3418
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
43328,
262,
1271,
286,
7968,
416,
32824,
416,
7968,
355,
257,
2318,
4823,
46506,
3418,
11,
327,
28270,
7,
12332,
88,
8,
16034,
24781,
602,
44441,
11050,
3418
]
|
Scatterplot of minimal stu gpa vs avg(stu gpa) by DEPT_CODE | SELECT AVG(STU_GPA), MIN(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE | [
3351,
1436,
29487,
286,
10926,
336,
84,
308,
8957,
3691,
42781,
7,
301,
84,
308,
8957,
8,
416,
5550,
11571,
62,
34,
3727,
33635,
16779,
35224,
7,
2257,
52,
62,
38,
4537,
828,
20625,
7,
2257,
52,
62,
38,
4537,
8,
16034,
49348,
3525,
44441,
11050,
5550,
11571,
62,
34,
16820
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
3351,
1436,
29487,
286,
10926,
336,
84,
308,
8957,
3691,
42781,
7,
301,
84,
308,
8957,
8,
416,
5550,
11571,
62,
34,
3727,
33635,
16779,
35224,
7,
2257,
52,
62,
38,
4537,
828,
20625,
7,
2257,
52,
62,
38,
4537,
8,
16034,
49348,
3525,
44441,
11050,
5550,
11571,
62,
34,
16820
]
|
What is the bus power for the Controlnet Fieldbus? | SELECT "Bus power" FROM table_43941 WHERE "Fieldbus" = 'controlnet' | [
2061,
318,
262,
1323,
1176,
329,
262,
6779,
3262,
7663,
10885,
30,
46506,
366,
16286,
1176,
1,
16034,
3084,
62,
47106,
3901,
33411,
366,
15878,
10885,
1,
796,
705,
13716,
3262,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
1323,
1176,
329,
262,
6779,
3262,
7663,
10885,
30,
46506,
366,
16286,
1176,
1,
16034,
3084,
62,
47106,
3901,
33411,
366,
15878,
10885,
1,
796,
705,
13716,
3262,
6
]
|
A bar chart shows the number of appellations whose score is higher than 93, and ordered by Name. | SELECT Appelation, COUNT(Appelation) FROM wine WHERE Score > 93 GROUP BY Appelation ORDER BY Name | [
32,
2318,
8262,
2523,
262,
1271,
286,
24781,
602,
3025,
4776,
318,
2440,
621,
10261,
11,
290,
6149,
416,
6530,
13,
46506,
2034,
417,
341,
11,
327,
28270,
7,
4677,
417,
341,
8,
16034,
8237,
33411,
15178,
1875,
10261,
44441,
11050,
2034,
417,
341,
38678,
11050,
6530
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
32,
2318,
8262,
2523,
262,
1271,
286,
24781,
602,
3025,
4776,
318,
2440,
621,
10261,
11,
290,
6149,
416,
6530,
13,
46506,
2034,
417,
341,
11,
327,
28270,
7,
4677,
417,
341,
8,
16034,
8237,
33411,
15178,
1875,
10261,
44441,
11050,
2034,
417,
341,
38678,
11050,
6530
]
|
Tell me the versions for czechoslovakia? | SELECT "Versions" FROM table_74499 WHERE "Origin" = 'czechoslovakia' | [
24446,
502,
262,
6300,
329,
269,
15356,
50005,
21897,
30,
46506,
366,
45150,
1,
16034,
3084,
62,
22,
2598,
2079,
33411,
366,
39688,
1,
796,
705,
66,
15356,
50005,
21897,
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
]
| [
24446,
502,
262,
6300,
329,
269,
15356,
50005,
21897,
30,
46506,
366,
45150,
1,
16034,
3084,
62,
22,
2598,
2079,
33411,
366,
39688,
1,
796,
705,
66,
15356,
50005,
21897,
6
]
|
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the sum of employee_id bin hire_date by weekday. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) 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,
38350,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35683,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
38350,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35683,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6
]
|
How many patients were admitted urgently and had the formation of cutaneous uretero-ileostomy procedure? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.short_title = "Form cutan ileoureterost" | [
2437,
867,
3871,
547,
6848,
37788,
290,
550,
262,
9978,
286,
2005,
11655,
334,
260,
353,
78,
12,
576,
455,
9145,
8771,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
4261,
38,
3525,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
8479,
2005,
272,
220,
576,
280,
260,
353,
455,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3871,
547,
6848,
37788,
290,
550,
262,
9978,
286,
2005,
11655,
334,
260,
353,
78,
12,
576,
455,
9145,
8771,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
4261,
38,
3525,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
8479,
2005,
272,
220,
576,
280,
260,
353,
455,
1
]
|
count the numbers of patients who have been diagnosed with acute respiratory failure - due to atelectasis in 2102. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'acute respiratory failure - due to atelectasis' AND STRFTIME('%y', diagnosis.diagnosistime) = '2102') | [
9127,
262,
3146,
286,
3871,
508,
423,
587,
14641,
351,
14352,
22949,
5287,
532,
2233,
284,
379,
9509,
17765,
287,
362,
15377,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
5827,
13,
403,
1557,
538,
312,
8,
16034,
5827,
33411,
5827,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
13669,
13,
26029,
20850,
31712,
312,
16034,
13669,
33411,
13669,
13,
47356,
5958,
3672,
796,
705,
330,
1133,
22949,
5287,
532,
2233,
284,
379,
9509,
17765,
6,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
13669,
13,
47356,
418,
396,
524,
8,
796,
705,
17,
15377,
11537
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3146,
286,
3871,
508,
423,
587,
14641,
351,
14352,
22949,
5287,
532,
2233,
284,
379,
9509,
17765,
287,
362,
15377,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
5827,
13,
403,
1557,
538,
312,
8,
16034,
5827,
33411,
5827,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
13669,
13,
26029,
20850,
31712,
312,
16034,
13669,
33411,
13669,
13,
47356,
5958,
3672,
796,
705,
330,
1133,
22949,
5287,
532,
2233,
284,
379,
9509,
17765,
6,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
13669,
13,
47356,
418,
396,
524,
8,
796,
705,
17,
15377,
11537
]
|
What is the 2011 when the 2010 is 8 4? | SELECT "2011" FROM table_7260 WHERE "2010" = '8–4' | [
2061,
318,
262,
2813,
618,
262,
3050,
318,
807,
604,
30,
46506,
366,
9804,
1,
16034,
3084,
62,
4761,
1899,
33411,
366,
10333,
1,
796,
705,
23,
1906,
19,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
2813,
618,
262,
3050,
318,
807,
604,
30,
46506,
366,
9804,
1,
16034,
3084,
62,
4761,
1899,
33411,
366,
10333,
1,
796,
705,
23,
1906,
19,
6
]
|
Where was the game on 1990-11-18? | SELECT "Game site" FROM table_11350 WHERE "Date" = '1990-11-18' | [
8496,
373,
262,
983,
319,
6303,
12,
1157,
12,
1507,
30,
46506,
366,
8777,
2524,
1,
16034,
3084,
62,
1157,
14877,
33411,
366,
10430,
1,
796,
705,
19891,
12,
1157,
12,
1507,
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,
983,
319,
6303,
12,
1157,
12,
1507,
30,
46506,
366,
8777,
2524,
1,
16034,
3084,
62,
1157,
14877,
33411,
366,
10430,
1,
796,
705,
19891,
12,
1157,
12,
1507,
6
]
|
What lane number was Hungary and had a heat of 4? | SELECT COUNT(lane) FROM table_name_22 WHERE heat = 4 AND nationality = "hungary" | [
2061,
11193,
1271,
373,
19562,
290,
550,
257,
4894,
286,
604,
30,
46506,
327,
28270,
7,
33533,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
4894,
796,
604,
5357,
29835,
796,
366,
43274,
560,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11193,
1271,
373,
19562,
290,
550,
257,
4894,
286,
604,
30,
46506,
327,
28270,
7,
33533,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
4894,
796,
604,
5357,
29835,
796,
366,
43274,
560,
1
]
|
How many races take place in Dessau circuit? | SELECT COUNT(race_name) FROM table_1140116_6 WHERE circuit = "Dessau" | [
2437,
867,
9558,
1011,
1295,
287,
360,
408,
559,
10349,
30,
46506,
327,
28270,
7,
16740,
62,
3672,
8,
16034,
3084,
62,
16562,
486,
1433,
62,
21,
33411,
10349,
796,
366,
35,
408,
559,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9558,
1011,
1295,
287,
360,
408,
559,
10349,
30,
46506,
327,
28270,
7,
16740,
62,
3672,
8,
16034,
3084,
62,
16562,
486,
1433,
62,
21,
33411,
10349,
796,
366,
35,
408,
559,
1
]
|
What is the average yards for Jimmie Giles in a game larger than 15 and reception larger than 2? | SELECT AVG("Yards") FROM table_49097 WHERE "Games" > '15' AND "Reception" > '2' AND "Player" = 'jimmie giles' | [
2061,
318,
262,
2811,
5695,
329,
5395,
44871,
37538,
287,
257,
983,
4025,
621,
1315,
290,
16307,
4025,
621,
362,
30,
46506,
35224,
7203,
56,
1371,
4943,
16034,
3084,
62,
2920,
2931,
22,
33411,
366,
24474,
1,
1875,
705,
1314,
6,
5357,
366,
3041,
4516,
1,
1875,
705,
17,
6,
5357,
366,
14140,
1,
796,
705,
73,
8608,
494,
308,
2915,
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
]
| [
2061,
318,
262,
2811,
5695,
329,
5395,
44871,
37538,
287,
257,
983,
4025,
621,
1315,
290,
16307,
4025,
621,
362,
30,
46506,
35224,
7203,
56,
1371,
4943,
16034,
3084,
62,
2920,
2931,
22,
33411,
366,
24474,
1,
1875,
705,
1314,
6,
5357,
366,
3041,
4516,
1,
1875,
705,
17,
6,
5357,
366,
14140,
1,
796,
705,
73,
8608,
494,
308,
2915,
6
]
|
what is the average daily number of patients who have had pneumonia, organism nos until 2101? | SELECT AVG(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 = 'pneumonia, organism nos') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2101' GROUP BY STRFTIME('%y-%m-%d', diagnoses_icd.charttime)) AS t1 | [
10919,
318,
262,
2811,
4445,
1271,
286,
3871,
508,
423,
550,
35647,
11,
26433,
43630,
1566,
2310,
486,
30,
46506,
35224,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
8,
7054,
269,
16,
16034,
40567,
62,
291,
67,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
262,
2811,
4445,
1271,
286,
3871,
508,
423,
550,
35647,
11,
26433,
43630,
1566,
2310,
486,
30,
46506,
35224,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
8,
7054,
269,
16,
16034,
40567,
62,
291,
67,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13
]
|
How many people directed episode 2? | SELECT COUNT(directed_by) FROM table_29545336_2 WHERE no = 2 | [
2437,
867,
661,
7924,
4471,
362,
30,
46506,
327,
28270,
7,
34762,
62,
1525,
8,
16034,
3084,
62,
25710,
2231,
29211,
62,
17,
33411,
645,
796,
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
]
| [
2437,
867,
661,
7924,
4471,
362,
30,
46506,
327,
28270,
7,
34762,
62,
1525,
8,
16034,
3084,
62,
25710,
2231,
29211,
62,
17,
33411,
645,
796,
362
]
|
What was the frequency of the Core i7-3610QE? | SELECT "Frequency" FROM table_63212 WHERE "Model number" = 'core i7-3610qe' | [
2061,
373,
262,
8373,
286,
262,
7231,
1312,
22,
12,
2623,
940,
48,
36,
30,
46506,
366,
37,
28707,
1,
16034,
3084,
62,
21,
2624,
1065,
33411,
366,
17633,
1271,
1,
796,
705,
7295,
1312,
22,
12,
2623,
940,
80,
68,
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,
373,
262,
8373,
286,
262,
7231,
1312,
22,
12,
2623,
940,
48,
36,
30,
46506,
366,
37,
28707,
1,
16034,
3084,
62,
21,
2624,
1065,
33411,
366,
17633,
1271,
1,
796,
705,
7295,
1312,
22,
12,
2623,
940,
80,
68,
6
]
|
What is the record where aaron brooks (6) is high assists? | SELECT record FROM table_23281862_9 WHERE high_assists = "Aaron Brooks (6)" | [
2061,
318,
262,
1700,
810,
257,
8045,
1379,
28194,
357,
21,
8,
318,
1029,
13648,
30,
46506,
1700,
16034,
3084,
62,
1954,
2078,
1507,
5237,
62,
24,
33411,
1029,
62,
562,
1023,
796,
366,
34451,
17704,
357,
21,
16725
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
1700,
810,
257,
8045,
1379,
28194,
357,
21,
8,
318,
1029,
13648,
30,
46506,
1700,
16034,
3084,
62,
1954,
2078,
1507,
5237,
62,
24,
33411,
1029,
62,
562,
1023,
796,
366,
34451,
17704,
357,
21,
16725
]
|
Find the number of the enrollment date for all the tests that have 'Pass' result, and list date_of_enrolment in ascending order please. | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Pass" GROUP BY date_of_enrolment ORDER BY date_of_enrolment | [
16742,
262,
1271,
286,
262,
20753,
3128,
329,
477,
262,
5254,
326,
423,
705,
14478,
6,
1255,
11,
290,
1351,
3128,
62,
1659,
62,
268,
3225,
434,
287,
41988,
1502,
3387,
13,
46506,
3128,
62,
1659,
62,
268,
3225,
434,
11,
327,
28270,
7,
4475,
62,
1659,
62,
268,
3225,
434,
8,
16034,
13613,
62,
49046,
62,
4834,
3225,
434,
7054,
309,
16,
32357,
1268,
13613,
62,
51,
3558,
62,
51,
1685,
7054,
309,
17,
6177,
309,
16,
13,
2301,
33397,
62,
312,
796,
309,
17,
13,
2301,
33397,
62,
312,
33411,
309,
17,
13,
9288,
62,
20274,
796,
366
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
16742,
262,
1271,
286,
262,
20753,
3128,
329,
477,
262,
5254,
326,
423,
705,
14478,
6,
1255,
11,
290,
1351,
3128,
62,
1659,
62,
268,
3225,
434,
287,
41988,
1502,
3387,
13,
46506,
3128,
62,
1659,
62,
268,
3225,
434,
11,
327,
28270,
7,
4475,
62,
1659,
62,
268,
3225,
434,
8,
16034,
13613,
62,
49046,
62,
4834,
3225,
434,
7054,
309,
16,
32357,
1268,
13613,
62,
51,
3558,
62,
51,
1685,
7054,
309,
17,
6177,
309,
16,
13,
2301,
33397,
62,
312,
796,
309,
17,
13,
2301,
33397,
62,
312,
33411,
309,
17,
13,
9288,
62,
20274,
796,
366
]
|
What is the 3-dart average with a high checkout of 112? | SELECT "3-dart Average" FROM table_24016 WHERE "High Checkout" = '112' | [
2061,
318,
262,
513,
12,
67,
433,
2811,
351,
257,
1029,
28006,
286,
13539,
30,
46506,
366,
18,
12,
67,
433,
13475,
1,
16034,
3084,
62,
1731,
27037,
33411,
366,
11922,
6822,
448,
1,
796,
705,
14686,
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
]
| [
2061,
318,
262,
513,
12,
67,
433,
2811,
351,
257,
1029,
28006,
286,
13539,
30,
46506,
366,
18,
12,
67,
433,
13475,
1,
16034,
3084,
62,
1731,
27037,
33411,
366,
11922,
6822,
448,
1,
796,
705,
14686,
6
]
|
how many episodes had a rank of more than 3 ? | SELECT COUNT("episode") FROM table_204_958 WHERE "rank" > 3 | [
4919,
867,
8640,
550,
257,
4279,
286,
517,
621,
513,
5633,
46506,
327,
28270,
7203,
38668,
4943,
16034,
3084,
62,
18638,
62,
24,
3365,
33411,
366,
43027,
1,
1875,
513
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
4919,
867,
8640,
550,
257,
4279,
286,
517,
621,
513,
5633,
46506,
327,
28270,
7203,
38668,
4943,
16034,
3084,
62,
18638,
62,
24,
3365,
33411,
366,
43027,
1,
1875,
513
]
|
how many hours has it been since the first time patient 14154 got a lactate dehydrogenase (ld) lab test in this hospital visit. | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', labevents.charttime)) FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'lactate dehydrogenase (ld)') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14154 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime LIMIT 1 | [
4919,
867,
2250,
468,
340,
587,
1201,
262,
717,
640,
5827,
1478,
21526,
1392,
257,
26222,
378,
28151,
8648,
589,
357,
335,
8,
2248,
1332,
287,
428,
4436,
3187,
13,
46506,
1987,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
532,
19269,
9792,
12789,
10786,
4,
73,
3256,
2248,
31534,
13,
40926,
2435,
4008,
16034,
2248,
31534,
33411,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
75,
529,
378,
28151,
8648,
589,
357
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2250,
468,
340,
587,
1201,
262,
717,
640,
5827,
1478,
21526,
1392,
257,
26222,
378,
28151,
8648,
589,
357,
335,
8,
2248,
1332,
287,
428,
4436,
3187,
13,
46506,
1987,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
532,
19269,
9792,
12789,
10786,
4,
73,
3256,
2248,
31534,
13,
40926,
2435,
4008,
16034,
2248,
31534,
33411,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
75,
529,
378,
28151,
8648,
589,
357
]
|
Who did the housemate that nominated Carol Roopali in week 1 nominate in week 8? | SELECT week_8 FROM table_name_52 WHERE week_1 = "carol roopali" | [
8241,
750,
262,
2156,
9830,
326,
19332,
5074,
5564,
404,
7344,
287,
1285,
352,
40376,
287,
1285,
807,
30,
46506,
1285,
62,
23,
16034,
3084,
62,
3672,
62,
4309,
33411,
1285,
62,
16,
796,
366,
7718,
349,
686,
404,
7344,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
750,
262,
2156,
9830,
326,
19332,
5074,
5564,
404,
7344,
287,
1285,
352,
40376,
287,
1285,
807,
30,
46506,
1285,
62,
23,
16034,
3084,
62,
3672,
62,
4309,
33411,
1285,
62,
16,
796,
366,
7718,
349,
686,
404,
7344,
1
]
|
Which tournament included the round played on 14 May? | SELECT "Tournament" FROM table_62269 WHERE "Date" = '14 may' | [
13828,
7756,
3017,
262,
2835,
2826,
319,
1478,
1737,
30,
46506,
366,
51,
5138,
1,
16034,
3084,
62,
21,
1828,
3388,
33411,
366,
10430,
1,
796,
705,
1415,
743,
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,
7756,
3017,
262,
2835,
2826,
319,
1478,
1737,
30,
46506,
366,
51,
5138,
1,
16034,
3084,
62,
21,
1828,
3388,
33411,
366,
10430,
1,
796,
705,
1415,
743,
6
]
|
Which Year has an Expenditure of 55, and an Income smaller than 36.2? | SELECT MIN("Year") FROM table_41812 WHERE "Expenditure" = '55' AND "Income" < '36.2' | [
13828,
6280,
468,
281,
48623,
8089,
286,
5996,
11,
290,
281,
19003,
4833,
621,
4570,
13,
17,
30,
46506,
20625,
7203,
17688,
4943,
16034,
3084,
62,
39667,
1065,
33411,
366,
16870,
437,
8089,
1,
796,
705,
2816,
6,
5357,
366,
818,
2958,
1,
1279,
705,
2623,
13,
17,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
13828,
6280,
468,
281,
48623,
8089,
286,
5996,
11,
290,
281,
19003,
4833,
621,
4570,
13,
17,
30,
46506,
20625,
7203,
17688,
4943,
16034,
3084,
62,
39667,
1065,
33411,
366,
16870,
437,
8089,
1,
796,
705,
2816,
6,
5357,
366,
818,
2958,
1,
1279,
705,
2623,
13,
17,
6
]
|
Give me the comparison about the sum of Weight over the Sex , and group by attribute Sex by a bar chart. | SELECT Sex, SUM(Weight) FROM people GROUP BY Sex | [
23318,
502,
262,
7208,
546,
262,
2160,
286,
14331,
625,
262,
14419,
837,
290,
1448,
416,
11688,
14419,
416,
257,
2318,
8262,
13,
46506,
14419,
11,
35683,
7,
25844,
8,
16034,
661,
44441,
11050,
14419
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
23318,
502,
262,
7208,
546,
262,
2160,
286,
14331,
625,
262,
14419,
837,
290,
1448,
416,
11688,
14419,
416,
257,
2318,
8262,
13,
46506,
14419,
11,
35683,
7,
25844,
8,
16034,
661,
44441,
11050,
14419
]
|
How many episodes were written by Warren Leight? | SELECT COUNT(season_no) FROM table_29154676_1 WHERE written_by = "Warren Leight" | [
2437,
867,
8640,
547,
3194,
416,
11328,
1004,
432,
30,
46506,
327,
28270,
7,
6230,
62,
3919,
8,
16034,
3084,
62,
1959,
21526,
42548,
62,
16,
33411,
3194,
62,
1525,
796,
366,
43464,
1004,
432,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2437,
867,
8640,
547,
3194,
416,
11328,
1004,
432,
30,
46506,
327,
28270,
7,
6230,
62,
3919,
8,
16034,
3084,
62,
1959,
21526,
42548,
62,
16,
33411,
3194,
62,
1525,
796,
366,
43464,
1004,
432,
1
]
|
Who is the opponent for week 5? | SELECT "Opponent" FROM table_4360 WHERE "Week" = '5' | [
8241,
318,
262,
6125,
329,
1285,
642,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
3559,
1899,
33411,
366,
20916,
1,
796,
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
]
| [
8241,
318,
262,
6125,
329,
1285,
642,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
3559,
1899,
33411,
366,
20916,
1,
796,
705,
20,
6
]
|
What is Class, when Dates is '22 April - 3 May 2009'? | SELECT "Class" FROM table_49604 WHERE "Dates" = '22 april - 3 may 2009' | [
2061,
318,
5016,
11,
618,
44712,
318,
705,
1828,
3035,
532,
513,
1737,
3717,
30960,
46506,
366,
9487,
1,
16034,
3084,
62,
2920,
31916,
33411,
366,
35,
689,
1,
796,
705,
1828,
46593,
346,
532,
513,
743,
3717,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
5016,
11,
618,
44712,
318,
705,
1828,
3035,
532,
513,
1737,
3717,
30960,
46506,
366,
9487,
1,
16034,
3084,
62,
2920,
31916,
33411,
366,
35,
689,
1,
796,
705,
1828,
46593,
346,
532,
513,
743,
3717,
6
]
|
What is the nationality of the person who played small forward? | SELECT "Nationality" FROM table_44000 WHERE "Position" = 'small forward' | [
2061,
318,
262,
29835,
286,
262,
1048,
508,
2826,
1402,
2651,
30,
46506,
366,
16186,
414,
1,
16034,
3084,
62,
2598,
830,
33411,
366,
26545,
1,
796,
705,
17470,
2651,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
29835,
286,
262,
1048,
508,
2826,
1402,
2651,
30,
46506,
366,
16186,
414,
1,
16034,
3084,
62,
2598,
830,
33411,
366,
26545,
1,
796,
705,
17470,
2651,
6
]
|
What country is ranked number 4? | SELECT country FROM table_name_41 WHERE rank = 4 | [
2061,
1499,
318,
10307,
1271,
604,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
3901,
33411,
4279,
796,
604
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
1499,
318,
10307,
1271,
604,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
3901,
33411,
4279,
796,
604
]
|
What is the highest number of people that attended a game at Moorabbin Oval? | SELECT MAX(crowd) FROM table_name_54 WHERE venue = "moorabbin oval" | [
2061,
318,
262,
4511,
1271,
286,
661,
326,
9141,
257,
983,
379,
31451,
6485,
259,
25165,
30,
46506,
25882,
7,
66,
3986,
8,
16034,
3084,
62,
3672,
62,
4051,
33411,
14359,
796,
366,
76,
2675,
6485,
259,
41186,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
286,
661,
326,
9141,
257,
983,
379,
31451,
6485,
259,
25165,
30,
46506,
25882,
7,
66,
3986,
8,
16034,
3084,
62,
3672,
62,
4051,
33411,
14359,
796,
366,
76,
2675,
6485,
259,
41186,
1
]
|
what is the number of patients whose diagnoses long title is cardiac arrest and lab test abnormal status is delta? | 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.long_title = "Cardiac arrest" AND lab.flag = "delta" | [
10919,
318,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
26077,
3251,
290,
2248,
1332,
18801,
3722,
318,
25979,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
40567,
13,
6511,
62,
7839,
796,
366,
16962,
9607,
3251,
1,
5357,
2248,
13,
32109,
796,
366,
67,
12514,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
26077,
3251,
290,
2248,
1332,
18801,
3722,
318,
25979,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
40567,
13,
6511,
62,
7839,
796,
366,
16962,
9607,
3251,
1,
5357,
2248,
13,
32109,
796,
366,
67,
12514,
1
]
|
Stacked bar chart of the number of country for with each Competition_type in each country | SELECT Country, COUNT(Country) FROM competition GROUP BY Competition_type, Country | [
1273,
6021,
2318,
8262,
286,
262,
1271,
286,
1499,
329,
351,
1123,
27348,
62,
4906,
287,
1123,
1499,
46506,
12946,
11,
327,
28270,
7,
33921,
8,
16034,
5449,
44441,
11050,
27348,
62,
4906,
11,
12946
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
1273,
6021,
2318,
8262,
286,
262,
1271,
286,
1499,
329,
351,
1123,
27348,
62,
4906,
287,
1123,
1499,
46506,
12946,
11,
327,
28270,
7,
33921,
8,
16034,
5449,
44441,
11050,
27348,
62,
4906,
11,
12946
]
|
It has a FA Cup Goals smaller than 4, and a FA Cup Apps larger than 7, what is the total number of total apps? | SELECT COUNT("Total Apps") FROM table_74547 WHERE "FA Cup Goals" < '4' AND "FA Cup Apps" > '7' | [
1026,
468,
257,
9677,
5454,
28510,
4833,
621,
604,
11,
290,
257,
9677,
5454,
27710,
4025,
621,
767,
11,
644,
318,
262,
2472,
1271,
286,
2472,
6725,
30,
46506,
327,
28270,
7203,
14957,
27710,
4943,
16034,
3084,
62,
50150,
2857,
33411,
366,
7708,
5454,
28510,
1,
1279,
705,
19,
6,
5357,
366,
7708,
5454,
27710,
1,
1875,
705,
22,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
1026,
468,
257,
9677,
5454,
28510,
4833,
621,
604,
11,
290,
257,
9677,
5454,
27710,
4025,
621,
767,
11,
644,
318,
262,
2472,
1271,
286,
2472,
6725,
30,
46506,
327,
28270,
7203,
14957,
27710,
4943,
16034,
3084,
62,
50150,
2857,
33411,
366,
7708,
5454,
28510,
1,
1279,
705,
19,
6,
5357,
366,
7708,
5454,
27710,
1,
1875,
705,
22,
6
]
|
List all the participant ids and their details using a bar chart, rank in desc by the Participant_ID please. | SELECT Participant_Details, Participant_ID FROM Participants ORDER BY Participant_ID DESC | [
8053,
477,
262,
18399,
220,
2340,
290,
511,
3307,
1262,
257,
2318,
8262,
11,
4279,
287,
1715,
416,
262,
29880,
62,
2389,
3387,
13,
46506,
29880,
62,
24259,
11,
29880,
62,
2389,
16034,
26122,
38678,
11050,
29880,
62,
2389,
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
]
| [
8053,
477,
262,
18399,
220,
2340,
290,
511,
3307,
1262,
257,
2318,
8262,
11,
4279,
287,
1715,
416,
262,
29880,
62,
2389,
3387,
13,
46506,
29880,
62,
24259,
11,
29880,
62,
2389,
16034,
26122,
38678,
11050,
29880,
62,
2389,
22196,
34
]
|
what is the date when the venue is junction oval? | SELECT date FROM table_name_47 WHERE venue = "junction oval" | [
10919,
318,
262,
3128,
618,
262,
14359,
318,
35037,
41186,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2857,
33411,
14359,
796,
366,
73,
4575,
41186,
1
]
| [
1,
1,
1,
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,
3128,
618,
262,
14359,
318,
35037,
41186,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2857,
33411,
14359,
796,
366,
73,
4575,
41186,
1
]
|
What is every game on November 21? | SELECT game FROM table_27539535_4 WHERE november = 21 | [
2061,
318,
790,
983,
319,
3389,
2310,
30,
46506,
983,
16034,
3084,
62,
23195,
31010,
2327,
62,
19,
33411,
645,
303,
1916,
796,
2310
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
790,
983,
319,
3389,
2310,
30,
46506,
983,
16034,
3084,
62,
23195,
31010,
2327,
62,
19,
33411,
645,
303,
1916,
796,
2310
]
|
Show the nations that have both journalists with more than 10 years of working and journalists with less than 3 years of working. | SELECT Nationality FROM journalist WHERE Years_working > 10 INTERSECT SELECT Nationality FROM journalist WHERE Years_working < 3 | [
15307,
262,
7027,
326,
423,
1111,
9046,
351,
517,
621,
838,
812,
286,
1762,
290,
9046,
351,
1342,
621,
513,
812,
286,
1762,
13,
46506,
2351,
414,
16034,
10099,
33411,
13212,
62,
16090,
1875,
838,
17828,
4877,
9782,
33493,
2351,
414,
16034,
10099,
33411,
13212,
62,
16090,
1279,
513
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
15307,
262,
7027,
326,
423,
1111,
9046,
351,
517,
621,
838,
812,
286,
1762,
290,
9046,
351,
1342,
621,
513,
812,
286,
1762,
13,
46506,
2351,
414,
16034,
10099,
33411,
13212,
62,
16090,
1875,
838,
17828,
4877,
9782,
33493,
2351,
414,
16034,
10099,
33411,
13212,
62,
16090,
1279,
513
]
|
When did acharya shree koshalendraprasadji maharaj become acharya? | SELECT became_acharya_on FROM table_name_12 WHERE name_of_acharya = "acharya shree koshalendraprasadji maharaj" | [
2215,
750,
257,
354,
43898,
427,
631,
479,
3768,
282,
48286,
1050,
292,
324,
7285,
285,
37325,
1228,
1716,
257,
354,
43898,
30,
46506,
2627,
62,
620,
43898,
62,
261,
16034,
3084,
62,
3672,
62,
1065,
33411,
1438,
62,
1659,
62,
620,
43898,
796,
366,
620,
43898,
427,
631,
479,
3768,
282,
48286,
1050,
292,
324,
7285,
285,
37325,
1228,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2215,
750,
257,
354,
43898,
427,
631,
479,
3768,
282,
48286,
1050,
292,
324,
7285,
285,
37325,
1228,
1716,
257,
354,
43898,
30,
46506,
2627,
62,
620,
43898,
62,
261,
16034,
3084,
62,
3672,
62,
1065,
33411,
1438,
62,
1659,
62,
620,
43898,
796,
366,
620,
43898,
427,
631,
479,
3768,
282,
48286,
1050,
292,
324,
7285,
285,
37325,
1228,
1
]
|
What is the Competition name of the competition that ended with a score of 2-1? | SELECT competition FROM table_name_74 WHERE score = "2-1" | [
2061,
318,
262,
27348,
1438,
286,
262,
5449,
326,
4444,
351,
257,
4776,
286,
362,
12,
16,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
4524,
33411,
4776,
796,
366,
17,
12,
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
]
| [
2061,
318,
262,
27348,
1438,
286,
262,
5449,
326,
4444,
351,
257,
4776,
286,
362,
12,
16,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
4524,
33411,
4776,
796,
366,
17,
12,
16,
1
]
|
A bar chart showing the average price of each cinema, and list by the the average of price in ascending. | SELECT Name, AVG(Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Name ORDER BY AVG(Price) | [
32,
2318,
8262,
4478,
262,
2811,
2756,
286,
1123,
22041,
11,
290,
1351,
416,
262,
262,
2811,
286,
2756,
287,
41988,
13,
46506,
6530,
11,
35224,
7,
18124,
8,
16034,
7269,
7054,
309,
16,
32357,
1268,
2646,
7054,
309,
17,
6177,
309,
16,
13,
39750,
62,
2389,
796,
309,
17,
13,
39750,
62,
2389,
32357,
1268,
22041,
7054,
309,
18,
6177,
309,
16,
13,
34,
7749,
64,
62,
2389,
796,
309,
18,
13,
34,
7749,
64,
62,
2389,
44441,
11050,
6530,
38678,
11050,
35224,
7,
18124,
8
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
32,
2318,
8262,
4478,
262,
2811,
2756,
286,
1123,
22041,
11,
290,
1351,
416,
262,
262,
2811,
286,
2756,
287,
41988,
13,
46506,
6530,
11,
35224,
7,
18124,
8,
16034,
7269,
7054,
309,
16,
32357,
1268,
2646,
7054,
309,
17,
6177,
309,
16,
13,
39750,
62,
2389,
796,
309,
17,
13,
39750,
62,
2389,
32357,
1268,
22041,
7054,
309,
18,
6177,
309,
16,
13,
34,
7749,
64,
62,
2389,
796,
309,
18,
13,
34,
7749,
64,
62,
2389,
44441,
11050,
6530,
38678,
11050,
35224,
7,
18124,
8
]
|
how many losses do the st. louis blues have ? | SELECT "losses" FROM table_204_964 WHERE "team" = 'st. louis blues' | [
4919,
867,
9089,
466,
262,
336,
13,
21081,
271,
25570,
423,
5633,
46506,
366,
22462,
274,
1,
16034,
3084,
62,
18638,
62,
24,
2414,
33411,
366,
15097,
1,
796,
705,
301,
13,
21081,
271,
25570,
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,
9089,
466,
262,
336,
13,
21081,
271,
25570,
423,
5633,
46506,
366,
22462,
274,
1,
16034,
3084,
62,
18638,
62,
24,
2414,
33411,
366,
15097,
1,
796,
705,
301,
13,
21081,
271,
25570,
6
]
|
number of rounds in which murphy placed above 4th | SELECT COUNT(*) FROM table_204_115 WHERE "round result" < 4 | [
17618,
286,
9196,
287,
543,
4636,
6883,
4624,
2029,
604,
400,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
15363,
33411,
366,
744,
1255,
1,
1279,
604
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
17618,
286,
9196,
287,
543,
4636,
6883,
4624,
2029,
604,
400,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
15363,
33411,
366,
744,
1255,
1,
1279,
604
]
|
What is Round 2 from 1999? | SELECT "Round 2" FROM table_40926 WHERE "From" = '1999' | [
2061,
318,
10485,
362,
422,
7358,
30,
46506,
366,
22685,
362,
1,
16034,
3084,
62,
29416,
2075,
33411,
366,
4863,
1,
796,
705,
18946,
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,
318,
10485,
362,
422,
7358,
30,
46506,
366,
22685,
362,
1,
16034,
3084,
62,
29416,
2075,
33411,
366,
4863,
1,
796,
705,
18946,
6
]
|
count the number of patients that have been diagnosed with stenosis of larynx and didn't come back to the hospital within 2 months since 2 years ago. | SELECT (SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'stenosis of larynx') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t1) - (SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'stenosis of larynx') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND DATETIME(admissions.admittime) >= DATETIME(CURRENT_TIME(), '-2 year') AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) | [
9127,
262,
1271,
286,
3871,
326,
423,
587,
14641,
351,
45219,
5958,
286,
300,
38621,
87,
290,
1422,
470,
1282,
736,
284,
262,
4436,
1626,
362,
1933,
1201,
362,
812,
2084,
13,
46506,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
40567,
62,
291,
67,
13,
40926,
2435,
16034,
40567,
62,
291,
67,
32357,
1268,
25349,
6177,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
9127,
262,
1271,
286,
3871,
326,
423,
587,
14641,
351,
45219,
5958,
286,
300,
38621,
87,
290,
1422,
470,
1282,
736,
284,
262,
4436,
1626,
362,
1933,
1201,
362,
812,
2084,
13,
46506,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
40567,
62,
291,
67,
13,
40926,
2435,
16034,
40567,
62,
291,
67,
32357,
1268,
25349,
6177,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62
]
|
Which Crowd has a Home team of st kilda? | SELECT crowd FROM table_name_85 WHERE home_team = "st kilda" | [
13828,
29452,
468,
257,
5995,
1074,
286,
336,
479,
27281,
30,
46506,
4315,
16034,
3084,
62,
3672,
62,
5332,
33411,
1363,
62,
15097,
796,
366,
301,
479,
27281,
1
]
| [
1,
1,
1,
1,
1,
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,
29452,
468,
257,
5995,
1074,
286,
336,
479,
27281,
30,
46506,
4315,
16034,
3084,
62,
3672,
62,
5332,
33411,
1363,
62,
15097,
796,
366,
301,
479,
27281,
1
]
|
What's the record of Game 70? | SELECT record FROM table_name_77 WHERE game = 70 | [
2061,
338,
262,
1700,
286,
3776,
4317,
30,
46506,
1700,
16034,
3084,
62,
3672,
62,
3324,
33411,
983,
796,
4317
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
338,
262,
1700,
286,
3776,
4317,
30,
46506,
1700,
16034,
3084,
62,
3672,
62,
3324,
33411,
983,
796,
4317
]
|
What is the attendance before week 1? | SELECT COUNT(attendance) FROM table_name_75 WHERE week < 1 | [
2061,
318,
262,
14858,
878,
1285,
352,
30,
46506,
327,
28270,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
2425,
33411,
1285,
1279,
352
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
14858,
878,
1285,
352,
30,
46506,
327,
28270,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
2425,
33411,
1285,
1279,
352
]
|
What is the position of the song that was eliminated on 11 november? | SELECT MAX("Position") FROM table_2913 WHERE "Date Eliminated" = '11 November' | [
2061,
318,
262,
2292,
286,
262,
3496,
326,
373,
15254,
319,
1367,
645,
303,
1916,
30,
46506,
25882,
7203,
26545,
4943,
16034,
3084,
62,
1959,
1485,
33411,
366,
10430,
27405,
3898,
1,
796,
705,
1157,
3389,
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,
318,
262,
2292,
286,
262,
3496,
326,
373,
15254,
319,
1367,
645,
303,
1916,
30,
46506,
25882,
7203,
26545,
4943,
16034,
3084,
62,
1959,
1485,
33411,
366,
10430,
27405,
3898,
1,
796,
705,
1157,
3389,
6
]
|
What is the sum of Ends with a Name of abidal, and has a Since larger than 2007? | SELECT SUM(ends) FROM table_name_58 WHERE name = "abidal" AND since > 2007 | [
2061,
318,
262,
2160,
286,
46756,
351,
257,
6530,
286,
450,
11624,
11,
290,
468,
257,
4619,
4025,
621,
4343,
30,
46506,
35683,
7,
2412,
8,
16034,
3084,
62,
3672,
62,
3365,
33411,
1438,
796,
366,
397,
11624,
1,
5357,
1201,
1875,
4343
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
46756,
351,
257,
6530,
286,
450,
11624,
11,
290,
468,
257,
4619,
4025,
621,
4343,
30,
46506,
35683,
7,
2412,
8,
16034,
3084,
62,
3672,
62,
3365,
33411,
1438,
796,
366,
397,
11624,
1,
5357,
1201,
1875,
4343
]
|
What is the week 10 result where the week 9 result was Dropped: Maryland South Carolina? | SELECT "Week 10 Nov 5" FROM table_58919 WHERE "Week 9 Oct 29" = 'dropped: maryland south carolina' | [
2061,
318,
262,
1285,
838,
1255,
810,
262,
1285,
860,
1255,
373,
21045,
1496,
25,
10769,
2520,
5913,
30,
46506,
366,
20916,
838,
5267,
642,
1,
16034,
3084,
62,
44169,
1129,
33411,
366,
20916,
860,
2556,
2808,
1,
796,
705,
22285,
1496,
25,
285,
560,
1044,
5366,
1097,
47196,
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,
1285,
838,
1255,
810,
262,
1285,
860,
1255,
373,
21045,
1496,
25,
10769,
2520,
5913,
30,
46506,
366,
20916,
838,
5267,
642,
1,
16034,
3084,
62,
44169,
1129,
33411,
366,
20916,
860,
2556,
2808,
1,
796,
705,
22285,
1496,
25,
285,
560,
1044,
5366,
1097,
47196,
6
]
|
For those employees who was hired before 2002-06-21, show me about the distribution of job_id and the average of salary , and group by attribute job_id in a bar chart, order by the Y-axis from low to high please. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(SALARY) | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
905,
502,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
9588,
837,
290,
1448,
416,
11688,
1693,
62,
312,
287,
257,
2318,
8262,
11,
1502,
416,
262,
575,
12,
22704,
422,
1877,
284,
1029,
3387,
13,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
50,
1847,
13153,
8,
16034,
4409,
33411,
36210,
2200,
62,
35,
6158,
1279,
705,
16942,
12,
3312,
12,
2481,
6,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
35224,
7,
50,
1847,
13153,
8
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
905,
502,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
9588,
837,
290,
1448,
416,
11688,
1693,
62,
312,
287,
257,
2318,
8262,
11,
1502,
416,
262,
575,
12,
22704,
422,
1877,
284,
1029,
3387,
13,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
50,
1847,
13153,
8,
16034,
4409,
33411,
36210,
2200,
62,
35,
6158,
1279,
705,
16942,
12,
3312,
12,
2481,
6,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
35224,
7,
50,
1847,
13153,
8
]
|
Who was the successor when the vacator was chester e. holifield (d)? | SELECT successor FROM table_1134091_4 WHERE vacator = "Chester E. Holifield (D)" | [
8241,
373,
262,
17270,
618,
262,
6658,
1352,
373,
1125,
1706,
304,
13,
6039,
361,
1164,
357,
67,
19427,
46506,
17270,
16034,
3084,
62,
16616,
1821,
6420,
62,
19,
33411,
6658,
1352,
796,
366,
7376,
1706,
412,
13,
6479,
361,
1164,
357,
35,
16725
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
8241,
373,
262,
17270,
618,
262,
6658,
1352,
373,
1125,
1706,
304,
13,
6039,
361,
1164,
357,
67,
19427,
46506,
17270,
16034,
3084,
62,
16616,
1821,
6420,
62,
19,
33411,
6658,
1352,
796,
366,
7376,
1706,
412,
13,
6479,
361,
1164,
357,
35,
16725
]
|
What shows for 2010 when 2011 is 1r at the US Open tournament? | SELECT "2010" FROM table_68406 WHERE "2011" = '1r' AND "Tournament" = 'us open' | [
2061,
2523,
329,
3050,
618,
2813,
318,
352,
81,
379,
262,
1294,
4946,
7756,
30,
46506,
366,
10333,
1,
16034,
3084,
62,
3104,
29703,
33411,
366,
9804,
1,
796,
705,
16,
81,
6,
5357,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
2523,
329,
3050,
618,
2813,
318,
352,
81,
379,
262,
1294,
4946,
7756,
30,
46506,
366,
10333,
1,
16034,
3084,
62,
3104,
29703,
33411,
366,
9804,
1,
796,
705,
16,
81,
6,
5357,
366,
51,
5138,
1,
796,
705,
385,
1280,
6
]
|
Tell me the revised of mccune reischauer of y n (s) ry n (n) | SELECT "Revised" FROM table_31729 WHERE "McCune-Reischauer" = 'yŏn (s) ryŏn (n)' | [
24446,
502,
262,
15556,
286,
285,
535,
1726,
302,
25308,
16261,
286,
331,
299,
357,
82,
8,
374,
88,
299,
357,
77,
8,
46506,
366,
18009,
1417,
1,
16034,
3084,
62,
34125,
1959,
33411,
366,
30464,
1726,
12,
3041,
25308,
16261,
1,
796,
705,
88,
129,
237,
77,
357,
82,
8,
374,
88,
129,
237,
77,
357,
77,
33047
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
24446,
502,
262,
15556,
286,
285,
535,
1726,
302,
25308,
16261,
286,
331,
299,
357,
82,
8,
374,
88,
299,
357,
77,
8,
46506,
366,
18009,
1417,
1,
16034,
3084,
62,
34125,
1959,
33411,
366,
30464,
1726,
12,
3041,
25308,
16261,
1,
796,
705,
88,
129,
237,
77,
357,
82,
8,
374,
88,
129,
237,
77,
357,
77,
33047
]
|
Ever undeleted not-owned post single-handedly. Only mods can do that. | SELECT DISTINCT PostHistory.UserId AS "user_link" FROM PostHistory, Posts WHERE PostHistory.PostId = Posts.Id AND PostHistory.UserId != Posts.OwnerUserId AND Posts.OwnerUserId > 0 AND PostHistory.UserId > 0 AND PostHistory.PostHistoryTypeId = 13 AND NOT PostHistory.Text LIKE '%},{%' | [
23921,
3318,
11129,
1513,
407,
12,
11990,
1281,
2060,
12,
43919,
13,
5514,
13743,
460,
466,
326,
13,
46506,
360,
8808,
1268,
4177,
2947,
18122,
13,
12982,
7390,
7054,
366,
7220,
62,
8726,
1,
16034,
2947,
18122,
11,
12043,
33411,
2947,
18122,
13,
6307,
7390,
796,
12043,
13,
7390,
5357,
2947,
18122,
13,
12982,
7390,
14512,
12043,
13,
42419,
12982,
7390,
5357,
12043,
13,
42419,
12982,
7390,
1875,
657,
5357,
2947,
18122,
13,
12982,
7390,
1875,
657,
5357,
2947,
18122,
13,
6307,
18122,
6030,
7390,
796,
1511,
5357,
5626,
2947,
18122,
13,
8206,
34178,
705,
4,
5512,
90,
4,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
23921,
3318,
11129,
1513,
407,
12,
11990,
1281,
2060,
12,
43919,
13,
5514,
13743,
460,
466,
326,
13,
46506,
360,
8808,
1268,
4177,
2947,
18122,
13,
12982,
7390,
7054,
366,
7220,
62,
8726,
1,
16034,
2947,
18122,
11,
12043,
33411,
2947,
18122,
13,
6307,
7390,
796,
12043,
13,
7390,
5357,
2947,
18122,
13,
12982,
7390,
14512,
12043,
13,
42419,
12982,
7390,
5357,
12043,
13,
42419,
12982,
7390,
1875,
657,
5357,
2947,
18122,
13,
12982,
7390,
1875,
657,
5357,
2947,
18122,
13,
6307,
18122,
6030,
7390,
796,
1511,
5357,
5626,
2947,
18122,
13,
8206,
34178,
705,
4,
5512,
90,
4,
6
]
|
In which country are there 1,278.13 exports? | SELECT "Country" FROM table_28336 WHERE "Exports" = '1,278.13' | [
818,
543,
1499,
389,
612,
352,
11,
25870,
13,
1485,
15319,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
2078,
29211,
33411,
366,
3109,
3742,
1,
796,
705,
16,
11,
25870,
13,
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
]
| [
818,
543,
1499,
389,
612,
352,
11,
25870,
13,
1485,
15319,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
2078,
29211,
33411,
366,
3109,
3742,
1,
796,
705,
16,
11,
25870,
13,
1485,
6
]
|
What is the Format(s) of the release on September 23, 2008? | SELECT "Format(s)" FROM table_62649 WHERE "Date" = 'september 23, 2008' | [
2061,
318,
262,
18980,
7,
82,
8,
286,
262,
2650,
319,
2693,
2242,
11,
3648,
30,
46506,
366,
26227,
7,
82,
16725,
16034,
3084,
62,
45191,
2920,
33411,
366,
10430,
1,
796,
705,
325,
457,
1491,
2242,
11,
3648,
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,
18980,
7,
82,
8,
286,
262,
2650,
319,
2693,
2242,
11,
3648,
30,
46506,
366,
26227,
7,
82,
16725,
16034,
3084,
62,
45191,
2920,
33411,
366,
10430,
1,
796,
705,
325,
457,
1491,
2242,
11,
3648,
6
]
|
Find me top 10 albums ranked by their popularity. | SELECT groupname FROM torrents WHERE releasetype = "album" ORDER BY totalsnatched DESC LIMIT 10 | [
16742,
502,
1353,
838,
16788,
10307,
416,
511,
11533,
13,
46506,
1448,
3672,
16034,
24458,
82,
33411,
1889,
292,
2963,
431,
796,
366,
40916,
1,
38678,
11050,
26310,
77,
14265,
22196,
34,
27564,
2043,
838
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
16742,
502,
1353,
838,
16788,
10307,
416,
511,
11533,
13,
46506,
1448,
3672,
16034,
24458,
82,
33411,
1889,
292,
2963,
431,
796,
366,
40916,
1,
38678,
11050,
26310,
77,
14265,
22196,
34,
27564,
2043,
838
]
|
Which CFL team did the player from British Columbia get drafted to | SELECT cfl_team FROM table_16441561_5 WHERE college = "British Columbia" | [
13828,
45239,
1074,
750,
262,
2137,
422,
3517,
9309,
651,
15937,
284,
46506,
269,
2704,
62,
15097,
16034,
3084,
62,
1433,
2598,
1314,
5333,
62,
20,
33411,
4152,
796,
366,
25631,
9309,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
45239,
1074,
750,
262,
2137,
422,
3517,
9309,
651,
15937,
284,
46506,
269,
2704,
62,
15097,
16034,
3084,
62,
1433,
2598,
1314,
5333,
62,
20,
33411,
4152,
796,
366,
25631,
9309,
1
]
|
When 15 is the number overall what is the original air date? | SELECT "Original air date" FROM table_73004 WHERE "No. overall" = '15' | [
2215,
1315,
318,
262,
1271,
4045,
644,
318,
262,
2656,
1633,
3128,
30,
46506,
366,
20556,
1633,
3128,
1,
16034,
3084,
62,
4790,
22914,
33411,
366,
2949,
13,
4045,
1,
796,
705,
1314,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2215,
1315,
318,
262,
1271,
4045,
644,
318,
262,
2656,
1633,
3128,
30,
46506,
366,
20556,
1633,
3128,
1,
16034,
3084,
62,
4790,
22914,
33411,
366,
2949,
13,
4045,
1,
796,
705,
1314,
6
]
|
tell me the number of white ethnic background patients who have stayed in hospital for more than 6 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.days_stay > "6" | [
33331,
502,
262,
1271,
286,
2330,
9450,
4469,
3871,
508,
423,
9658,
287,
4436,
329,
517,
621,
718,
1528,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
33331,
502,
262,
1271,
286,
2330,
9450,
4469,
3871,
508,
423,
9658,
287,
4436,
329,
517,
621,
718,
1528,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
21,
1
]
|
Which 2008 has a 2005 of 13 3? | SELECT 2008 FROM table_name_48 WHERE 2005 = "13–3" | [
13828,
3648,
468,
257,
5075,
286,
1511,
513,
30,
46506,
3648,
16034,
3084,
62,
3672,
62,
2780,
33411,
5075,
796,
366,
1485,
1906,
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
]
| [
13828,
3648,
468,
257,
5075,
286,
1511,
513,
30,
46506,
3648,
16034,
3084,
62,
3672,
62,
2780,
33411,
5075,
796,
366,
1485,
1906,
18,
1
]
|
Which Club has a League Cup goals of 0, and a FA Cup goals of 1, and a Total larger than 11, and a League goals of 13? | SELECT club FROM table_name_99 WHERE league_cup_goals = "0" AND fa_cup_goals = "1" AND total > 11 AND league_goals = "13" | [
13828,
6289,
468,
257,
4041,
5454,
4661,
286,
657,
11,
290,
257,
9677,
5454,
4661,
286,
352,
11,
290,
257,
7472,
4025,
621,
1367,
11,
290,
257,
4041,
4661,
286,
1511,
30,
46506,
3430,
16034,
3084,
62,
3672,
62,
2079,
33411,
4652,
62,
25244,
62,
2188,
874,
796,
366,
15,
1,
5357,
24685,
62,
25244,
62,
2188,
874,
796,
366,
16,
1,
5357,
2472,
1875,
1367,
5357,
4652,
62,
2188,
874,
796,
366,
1485,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6289,
468,
257,
4041,
5454,
4661,
286,
657,
11,
290,
257,
9677,
5454,
4661,
286,
352,
11,
290,
257,
7472,
4025,
621,
1367,
11,
290,
257,
4041,
4661,
286,
1511,
30,
46506,
3430,
16034,
3084,
62,
3672,
62,
2079,
33411,
4652,
62,
25244,
62,
2188,
874,
796,
366,
15,
1,
5357,
24685,
62,
25244,
62,
2188,
874,
796,
366,
16,
1,
5357,
2472,
1875,
1367,
5357,
4652,
62,
2188,
874,
796,
366,
1485,
1
]
|
how much is the minimum cost for a hospital that contains sutent during this year? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT prescriptions.hadm_id FROM prescriptions WHERE prescriptions.drug = 'sutent') AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY cost.hadm_id) AS t1 | [
4919,
881,
318,
262,
5288,
1575,
329,
257,
4436,
326,
4909,
264,
315,
298,
1141,
428,
614,
30,
46506,
20625,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
35683,
7,
15805,
13,
15805,
8,
7054,
269,
16,
16034,
1575,
33411,
1575,
13,
18108,
76,
62,
312,
3268,
357,
46506,
34092,
13,
18108,
76,
62,
312,
16034,
34092,
33411,
34092,
13,
30349,
796,
705,
82,
315,
298,
11537,
5357,
360,
1404,
2767,
12789,
7,
15805,
13,
354,
7641,
524,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
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
]
| [
4919,
881,
318,
262,
5288,
1575,
329,
257,
4436,
326,
4909,
264,
315,
298,
1141,
428,
614,
30,
46506,
20625,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
35683,
7,
15805,
13,
15805,
8,
7054,
269,
16,
16034,
1575,
33411,
1575,
13,
18108,
76,
62,
312,
3268,
357,
46506,
34092,
13,
18108,
76,
62,
312,
16034,
34092,
33411,
34092,
13,
30349,
796,
705,
82,
315,
298,
11537,
5357,
360,
1404,
2767,
12789,
7,
15805,
13,
354,
7641,
524,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286
]
|
on this month/16, when was the last time that patient 65582 had a urine . output? | SELECT outputevents.charttime 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 = 65582)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine .' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', outputevents.charttime) = '16' ORDER BY outputevents.charttime DESC LIMIT 1 | [
261,
428,
1227,
14,
1433,
11,
618,
373,
262,
938,
640,
326,
5827,
45021,
6469,
550,
257,
18922,
764,
5072,
30,
46506,
38701,
1133,
85,
658,
13,
40926,
2435,
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,
45021,
6469,
4008,
5357,
38701,
1133,
85,
658,
13,
9186,
312,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
261,
428,
1227,
14,
1433,
11,
618,
373,
262,
938,
640,
326,
5827,
45021,
6469,
550,
257,
18922,
764,
5072,
30,
46506,
38701,
1133,
85,
658,
13,
40926,
2435,
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,
45021,
6469,
4008,
5357,
38701,
1133,
85,
658,
13,
9186,
312,
3268
]
|
When was the first season? | SELECT MIN("Season") FROM table_72829 | [
2215,
373,
262,
717,
1622,
30,
46506,
20625,
7203,
18960,
4943,
16034,
3084,
62,
48524,
1959
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2215,
373,
262,
717,
1622,
30,
46506,
20625,
7203,
18960,
4943,
16034,
3084,
62,
48524,
1959
]
|
what is the first medication that patient 41816 has been prescribed until 07/2102? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 41816) AND STRFTIME('%y-%m', prescriptions.startdate) <= '2102-07' ORDER BY prescriptions.startdate LIMIT 1 | [
10919,
318,
262,
717,
14103,
326,
5827,
45959,
1433,
468,
587,
14798,
1566,
8753,
14,
17,
15377,
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,
45959,
1433,
8,
5357,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76,
3256,
34092,
13,
9688,
4475,
8,
19841,
705,
17,
15377,
12,
2998,
6,
38678,
11050,
34092,
13,
9688,
4475,
27564,
2043,
352
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
717,
14103,
326,
5827,
45959,
1433,
468,
587,
14798,
1566,
8753,
14,
17,
15377,
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,
45959,
1433,
8,
5357,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76,
3256,
34092,
13,
9688,
4475,
8,
19841,
705,
17,
15377,
12,
2998,
6,
38678,
11050,
34092,
13,
9688,
4475,
27564,
2043,
352
]
|
What was the date of Circuit Hockenheimring and the winning manufacturer being Mercedes-Benz? | SELECT date FROM table_name_34 WHERE circuit = "hockenheimring" AND winning_manufacturer = "mercedes-benz" | [
2061,
373,
262,
3128,
286,
13588,
367,
735,
268,
9096,
1806,
290,
262,
5442,
11554,
852,
21279,
12,
42484,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2682,
33411,
10349,
796,
366,
71,
735,
268,
9096,
1806,
1,
5357,
5442,
62,
48119,
15051,
796,
366,
647,
19285,
12,
11722,
89,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3128,
286,
13588,
367,
735,
268,
9096,
1806,
290,
262,
5442,
11554,
852,
21279,
12,
42484,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2682,
33411,
10349,
796,
366,
71,
735,
268,
9096,
1806,
1,
5357,
5442,
62,
48119,
15051,
796,
366,
647,
19285,
12,
11722,
89,
1
]
|
What was his result against dan bobish? | SELECT res FROM table_name_80 WHERE opponent = "dan bobish" | [
2061,
373,
465,
1255,
1028,
46078,
29202,
680,
30,
46506,
581,
16034,
3084,
62,
3672,
62,
1795,
33411,
6125,
796,
366,
25604,
29202,
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
]
| [
2061,
373,
465,
1255,
1028,
46078,
29202,
680,
30,
46506,
581,
16034,
3084,
62,
3672,
62,
1795,
33411,
6125,
796,
366,
25604,
29202,
680,
1
]
|
How many different counts of the population in Cavinti in 2010 are there? | SELECT COUNT("Population (2010)") FROM table_24556 WHERE "Municipality" = 'Cavinti' | [
2437,
867,
1180,
9853,
286,
262,
3265,
287,
19931,
600,
72,
287,
3050,
389,
612,
30,
46506,
327,
28270,
7203,
45251,
357,
10333,
8,
4943,
16034,
3084,
62,
1731,
37864,
33411,
366,
44,
9462,
1483,
1,
796,
705,
34,
615,
600,
72,
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
]
| [
2437,
867,
1180,
9853,
286,
262,
3265,
287,
19931,
600,
72,
287,
3050,
389,
612,
30,
46506,
327,
28270,
7203,
45251,
357,
10333,
8,
4943,
16034,
3084,
62,
1731,
37864,
33411,
366,
44,
9462,
1483,
1,
796,
705,
34,
615,
600,
72,
6
]
|
Name the lowest Televotes which has monika sokolovska and a Rank larger than 15? | SELECT MIN(televotes) FROM table_name_54 WHERE performer = "monika sokolovska" AND rank > 15 | [
5376,
262,
9016,
1665,
2768,
6421,
543,
468,
937,
9232,
264,
482,
349,
709,
82,
4914,
290,
257,
10916,
4025,
621,
1315,
30,
46506,
20625,
7,
660,
2768,
6421,
8,
16034,
3084,
62,
3672,
62,
4051,
33411,
26960,
796,
366,
2144,
9232,
264,
482,
349,
709,
82,
4914,
1,
5357,
4279,
1875,
1315
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9016,
1665,
2768,
6421,
543,
468,
937,
9232,
264,
482,
349,
709,
82,
4914,
290,
257,
10916,
4025,
621,
1315,
30,
46506,
20625,
7,
660,
2768,
6421,
8,
16034,
3084,
62,
3672,
62,
4051,
33411,
26960,
796,
366,
2144,
9232,
264,
482,
349,
709,
82,
4914,
1,
5357,
4279,
1875,
1315
]
|
What is the lowest interview for a contestant from North Carolina with a swimsuit larger than 9.021, an average smaller than 9.513, and an evening gown larger than 9.5? | SELECT MIN("Interview") FROM table_10368 WHERE "Swimsuit" > '9.021' AND "Average" < '9.513' AND "State" = 'north carolina' AND "Evening Gown" > '9.5' | [
2061,
318,
262,
9016,
2720,
329,
257,
44047,
422,
2258,
5913,
351,
257,
9422,
6063,
4025,
621,
860,
13,
46821,
11,
281,
2811,
4833,
621,
860,
13,
48645,
11,
290,
281,
6180,
33323,
4025,
621,
860,
13,
20,
30,
46506,
20625,
7203,
39945,
4943,
16034,
3084,
62,
940,
27412,
33411,
366,
10462,
320,
6063,
1,
1875,
705,
24,
13,
46821,
6,
5357,
366,
26287,
1,
1279,
705,
24,
13,
48645,
6,
5357,
366,
9012,
1,
796,
705,
43588,
1097,
47196,
6,
5357,
366,
6104,
278,
402,
593,
1,
1875,
705,
24,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2720,
329,
257,
44047,
422,
2258,
5913,
351,
257,
9422,
6063,
4025,
621,
860,
13,
46821,
11,
281,
2811,
4833,
621,
860,
13,
48645,
11,
290,
281,
6180,
33323,
4025,
621,
860,
13,
20,
30,
46506,
20625,
7203,
39945,
4943,
16034,
3084,
62,
940,
27412,
33411,
366,
10462,
320,
6063,
1,
1875,
705,
24,
13,
46821,
6,
5357,
366,
26287,
1,
1279,
705,
24,
13,
48645,
6,
5357,
366,
9012,
1,
796,
705,
43588,
1097,
47196,
6,
5357,
366,
6104,
278,
402,
593,
1,
1875,
705,
24,
13,
20,
6
]
|
When richmond was the Away team what was the score of the home team? | SELECT home_team AS score FROM table_name_37 WHERE away_team = "richmond" | [
2215,
5527,
6327,
373,
262,
21986,
1074,
644,
373,
262,
4776,
286,
262,
1363,
1074,
30,
46506,
1363,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
2718,
33411,
1497,
62,
15097,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2215,
5527,
6327,
373,
262,
21986,
1074,
644,
373,
262,
4776,
286,
262,
1363,
1074,
30,
46506,
1363,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
2718,
33411,
1497,
62,
15097,
796,
366,
7527,
6327,
1
]
|
i would like information on flights from BALTIMORE to ATLANTA on thursday arriving in ATLANTA before 1800 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.arrival_time < 1800 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | [
72,
561,
588,
1321,
319,
13956,
422,
347,
31429,
3955,
6965,
284,
5161,
25697,
5603,
319,
294,
3479,
14820,
287,
5161,
25697,
5603,
878,
21431,
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,
3128,
62,
820,
11,
1528,
11,
5474,
33411,
14808,
4475,
62,
820,
13,
820,
62,
17618,
796,
1987,
5357,
3128,
62,
820,
13,
8424,
62,
17618,
796,
642
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
72,
561,
588,
1321,
319,
13956,
422,
347,
31429,
3955,
6965,
284,
5161,
25697,
5603,
319,
294,
3479,
14820,
287,
5161,
25697,
5603,
878,
21431,
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,
3128,
62,
820,
11,
1528,
11,
5474,
33411,
14808,
4475,
62,
820,
13,
820,
62,
17618,
796,
1987,
5357,
3128,
62,
820,
13,
8424,
62,
17618,
796,
642
]
|
Which region had the year May 1974? | SELECT region FROM table_name_77 WHERE year = "may 1974" | [
13828,
3814,
550,
262,
614,
1737,
16489,
30,
46506,
3814,
16034,
3084,
62,
3672,
62,
3324,
33411,
614,
796,
366,
11261,
16489,
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,
3814,
550,
262,
614,
1737,
16489,
30,
46506,
3814,
16034,
3084,
62,
3672,
62,
3324,
33411,
614,
796,
366,
11261,
16489,
1
]
|
Name the starter for position being left end | SELECT "Starter" FROM table_72526 WHERE "Position" = 'Left end' | [
5376,
262,
14217,
329,
2292,
852,
1364,
886,
46506,
366,
1273,
2571,
1,
16034,
3084,
62,
45151,
2075,
33411,
366,
26545,
1,
796,
705,
18819,
886,
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
]
| [
5376,
262,
14217,
329,
2292,
852,
1364,
886,
46506,
366,
1273,
2571,
1,
16034,
3084,
62,
45151,
2075,
33411,
366,
26545,
1,
796,
705,
18819,
886,
6
]
|
what are the round trip fares for flights from DENVER to PHILADELPHIA arriving after 1700 on CO | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.arrival_time > 1700 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.airline_code = 'CO' AND flight.flight_id = flight_fare.flight_id | [
10919,
389,
262,
2835,
5296,
33164,
329,
13956,
422,
37692,
5959,
284,
9370,
4146,
2885,
3698,
11909,
3539,
14820,
706,
35665,
319,
327,
14058,
16779,
360,
8808,
1268,
4177,
14505,
13,
9496,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
14505,
11,
5474,
11,
5474,
62,
9496,
33411,
14808,
34,
9050,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
389,
262,
2835,
5296,
33164,
329,
13956,
422,
37692,
5959,
284,
9370,
4146,
2885,
3698,
11909,
3539,
14820,
706,
35665,
319,
327,
14058,
16779,
360,
8808,
1268,
4177,
14505,
13,
9496,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
14505,
11,
5474,
11,
5474,
62,
9496,
33411,
14808,
34,
9050,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189
]
|
Name the visitor from vancouver on february 24 | SELECT visitor FROM table_name_81 WHERE home = "vancouver" AND date = "february 24" | [
5376,
262,
21493,
422,
410,
10264,
319,
730,
65,
3728,
1987,
46506,
21493,
16034,
3084,
62,
3672,
62,
6659,
33411,
1363,
796,
366,
85,
10264,
1,
5357,
3128,
796,
366,
69,
1765,
3728,
1987,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
5376,
262,
21493,
422,
410,
10264,
319,
730,
65,
3728,
1987,
46506,
21493,
16034,
3084,
62,
3672,
62,
6659,
33411,
1363,
796,
366,
85,
10264,
1,
5357,
3128,
796,
366,
69,
1765,
3728,
1987,
1
]
|
What is the date for the grass surface final against Nathan Healey? | SELECT "Date" FROM table_38229 WHERE "Surface" = 'grass' AND "Opponent in the final" = 'nathan healey' | [
2061,
318,
262,
3128,
329,
262,
8701,
4417,
2457,
1028,
18106,
679,
16730,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2548,
23539,
33411,
366,
14214,
2550,
1,
796,
705,
29815,
6,
5357,
366,
27524,
3471,
287,
262,
2457,
1,
796,
705,
77,
6696,
339,
16730,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
3128,
329,
262,
8701,
4417,
2457,
1028,
18106,
679,
16730,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2548,
23539,
33411,
366,
14214,
2550,
1,
796,
705,
29815,
6,
5357,
366,
27524,
3471,
287,
262,
2457,
1,
796,
705,
77,
6696,
339,
16730,
6
]
|
What season was the overall record 29-7? | SELECT season FROM table_14609295_4 WHERE overall = "29-7" | [
2061,
1622,
373,
262,
4045,
1700,
2808,
12,
22,
30,
46506,
1622,
16034,
3084,
62,
1415,
31751,
25710,
62,
19,
33411,
4045,
796,
366,
1959,
12,
22,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
1622,
373,
262,
4045,
1700,
2808,
12,
22,
30,
46506,
1622,
16034,
3084,
62,
1415,
31751,
25710,
62,
19,
33411,
4045,
796,
366,
1959,
12,
22,
1
]
|
Who was the U21 Mens winner when Mike Marsden was the mixed restricted winner and Claire Nelson was the U21 Womens winner? | SELECT u21_mens FROM table_28211674_3 WHERE mixed_restricted = "Mike Marsden" AND u21_womens = "Claire Nelson" | [
8241,
373,
262,
471,
2481,
43103,
8464,
618,
4995,
8706,
6559,
373,
262,
7668,
10770,
8464,
290,
20758,
12996,
373,
262,
471,
2481,
370,
296,
641,
8464,
30,
46506,
334,
2481,
62,
45535,
16034,
3084,
62,
2078,
21895,
45385,
62,
18,
33411,
7668,
62,
49343,
796,
366,
16073,
8706,
6559,
1,
5357,
334,
2481,
62,
86,
296,
641,
796,
366,
2601,
7626,
12996,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
471,
2481,
43103,
8464,
618,
4995,
8706,
6559,
373,
262,
7668,
10770,
8464,
290,
20758,
12996,
373,
262,
471,
2481,
370,
296,
641,
8464,
30,
46506,
334,
2481,
62,
45535,
16034,
3084,
62,
2078,
21895,
45385,
62,
18,
33411,
7668,
62,
49343,
796,
366,
16073,
8706,
6559,
1,
5357,
334,
2481,
62,
86,
296,
641,
796,
366,
2601,
7626,
12996,
1
]
|
How many have a kilometers of 233? | SELECT "Number" FROM table_20939 WHERE "Kilometer" = '233' | [
2437,
867,
423,
257,
18212,
286,
30435,
30,
46506,
366,
15057,
1,
16034,
3084,
62,
22567,
2670,
33411,
366,
42,
346,
15635,
1,
796,
705,
25429,
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
]
| [
2437,
867,
423,
257,
18212,
286,
30435,
30,
46506,
366,
15057,
1,
16034,
3084,
62,
22567,
2670,
33411,
366,
42,
346,
15635,
1,
796,
705,
25429,
6
]
|
Name the tournament for outcome of winner and clay surface with opponent of aranza salut | SELECT tournament FROM table_name_61 WHERE outcome = "winner" AND surface = "clay" AND opponent = "aranza salut" | [
5376,
262,
7756,
329,
8055,
286,
8464,
290,
21558,
4417,
351,
6125,
286,
610,
35819,
3664,
315,
46506,
7756,
16034,
3084,
62,
3672,
62,
5333,
33411,
8055,
796,
366,
39791,
1,
5357,
4417,
796,
366,
565,
323,
1,
5357,
6125,
796,
366,
19173,
4496,
3664,
315,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7756,
329,
8055,
286,
8464,
290,
21558,
4417,
351,
6125,
286,
610,
35819,
3664,
315,
46506,
7756,
16034,
3084,
62,
3672,
62,
5333,
33411,
8055,
796,
366,
39791,
1,
5357,
4417,
796,
366,
565,
323,
1,
5357,
6125,
796,
366,
19173,
4496,
3664,
315,
1
]
|
what is the first airbase listed on the chart ? | SELECT "name" FROM table_204_102 WHERE id = 1 | [
10919,
318,
262,
717,
1633,
8692,
5610,
319,
262,
8262,
5633,
46506,
366,
3672,
1,
16034,
3084,
62,
18638,
62,
15377,
33411,
4686,
796,
352
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
262,
717,
1633,
8692,
5610,
319,
262,
8262,
5633,
46506,
366,
3672,
1,
16034,
3084,
62,
18638,
62,
15377,
33411,
4686,
796,
352
]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.