instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
How many were first elected in the Arkansas 4 district? | SELECT COUNT(first_elected) FROM table_1342233_5 WHERE district = "Arkansas 4" | [
2437,
867,
547,
717,
7018,
287,
262,
14538,
604,
4783,
30,
46506,
327,
28270,
7,
11085,
62,
28604,
8,
16034,
3084,
62,
19880,
1828,
2091,
62,
20,
33411,
4783,
796,
366,
42007,
6618,
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
] | [
2437,
867,
547,
717,
7018,
287,
262,
14538,
604,
4783,
30,
46506,
327,
28270,
7,
11085,
62,
28604,
8,
16034,
3084,
62,
19880,
1828,
2091,
62,
20,
33411,
4783,
796,
366,
42007,
6618,
604,
1
] |
Which date has a competition type of British home championship? | SELECT date FROM table_name_81 WHERE competition = "british home championship" | [
13828,
3128,
468,
257,
5449,
2099,
286,
3517,
1363,
12184,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
6659,
33411,
5449,
796,
366,
65,
799,
680,
1363,
12184,
1
] | [
1,
1,
1,
1,
1,
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,
3128,
468,
257,
5449,
2099,
286,
3517,
1363,
12184,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
6659,
33411,
5449,
796,
366,
65,
799,
680,
1363,
12184,
1
] |
What are the album titles for albums containing both 'Reggae' and 'Rock' genre tracks? | SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Reggae' INTERSECT SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Rock' | [
2061,
389,
262,
5062,
8714,
329,
16788,
7268,
1111,
705,
3041,
1130,
3609,
6,
290,
705,
19665,
6,
12121,
8339,
30,
46506,
309,
16,
13,
19160,
16034,
23999,
7054,
309,
16,
32357,
1268,
17762,
7054,
309,
17,
6177,
309,
16,
13,
2348,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
389,
262,
5062,
8714,
329,
16788,
7268,
1111,
705,
3041,
1130,
3609,
6,
290,
705,
19665,
6,
12121,
8339,
30,
46506,
309,
16,
13,
19160,
16034,
23999,
7054,
309,
16,
32357,
1268,
17762,
7054,
309,
17,
6177,
309,
16,
13,
2348,
4... |
Among patients tested for clinical chemistry, calculate the number of those who were admitted for more than 3 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "3" AND lab."CATEGORY" = "Chemistry" | [
14311,
3871,
6789,
329,
8668,
16585,
11,
15284,
262,
1271,
286,
883,
508,
547,
6848,
329,
517,
621,
513,
1528,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
14311,
3871,
6789,
329,
8668,
16585,
11,
15284,
262,
1271,
286,
883,
508,
547,
6848,
329,
517,
621,
513,
1528,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,... |
What is the average Games Played for Bo Oshoniyi, who had more than 1170 minutes and 10 loses? | SELECT AVG(games_played) FROM table_name_5 WHERE loses = 10 AND player = "bo oshoniyi" AND minutes > 1170 | [
2061,
318,
262,
2811,
5776,
33101,
329,
3248,
46614,
261,
7745,
72,
11,
508,
550,
517,
621,
1367,
2154,
2431,
290,
838,
14754,
30,
46506,
35224,
7,
19966,
62,
21542,
8,
16034,
3084,
62,
3672,
62,
20,
33411,
14754,
796,
838,
5357,
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
] | [
2061,
318,
262,
2811,
5776,
33101,
329,
3248,
46614,
261,
7745,
72,
11,
508,
550,
517,
621,
1367,
2154,
2431,
290,
838,
14754,
30,
46506,
35224,
7,
19966,
62,
21542,
8,
16034,
3084,
62,
3672,
62,
20,
33411,
14754,
796,
838,
5357,
21... |
What is the control type which was founded in 1991? | SELECT control FROM table_2076608_3 WHERE founded = "1991" | [
2061,
318,
262,
1630,
2099,
543,
373,
9393,
287,
10249,
30,
46506,
1630,
16034,
3084,
62,
1238,
4304,
28688,
62,
18,
33411,
9393,
796,
366,
24529,
1
] | [
1,
1,
1,
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,
1630,
2099,
543,
373,
9393,
287,
10249,
30,
46506,
1630,
16034,
3084,
62,
1238,
4304,
28688,
62,
18,
33411,
9393,
796,
366,
24529,
1
] |
Visualize a bar chart about the distribution of Time and meter_100 , and sort Y-axis from high to low order please. | SELECT Time, meter_100 FROM swimmer ORDER BY meter_100 DESC | [
36259,
1096,
257,
2318,
8262,
546,
262,
6082,
286,
3862,
290,
16430,
62,
3064,
837,
290,
3297,
575,
12,
22704,
422,
1029,
284,
1877,
1502,
3387,
13,
46506,
3862,
11,
16430,
62,
3064,
16034,
9422,
647,
38678,
11050,
16430,
62,
3064,
22... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
36259,
1096,
257,
2318,
8262,
546,
262,
6082,
286,
3862,
290,
16430,
62,
3064,
837,
290,
3297,
575,
12,
22704,
422,
1029,
284,
1877,
1502,
3387,
13,
46506,
3862,
11,
16430,
62,
3064,
16034,
9422,
647,
38678,
11050,
16430,
62,
3064,
22... |
What is the host city of the Singapore Indoor Stadium venue and a Valentine's Day theme? | SELECT "Host city" FROM table_38860 WHERE "Venue" = 'singapore indoor stadium' AND "Theme" = 'valentine''s day' | [
2061,
318,
262,
2583,
1748,
286,
262,
12551,
1423,
2675,
10499,
14359,
290,
257,
23078,
338,
3596,
7505,
30,
46506,
366,
17932,
1748,
1,
16034,
3084,
62,
30460,
1899,
33411,
366,
37522,
518,
1,
796,
705,
12215,
11656,
22639,
10308,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2583,
1748,
286,
262,
12551,
1423,
2675,
10499,
14359,
290,
257,
23078,
338,
3596,
7505,
30,
46506,
366,
17932,
1748,
1,
16034,
3084,
62,
30460,
1899,
33411,
366,
37522,
518,
1,
796,
705,
12215,
11656,
22639,
10308,
6,
... |
specify the lab test fluid of patient paul edwards | SELECT lab.fluid FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Paul Edwards" | [
16684,
1958,
262,
2248,
1332,
11711,
286,
5827,
279,
2518,
1225,
2017,
46506,
2248,
13,
35522,
312,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
16728,
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
] | [
16684,
1958,
262,
2248,
1332,
11711,
286,
5827,
279,
2518,
1225,
2017,
46506,
2248,
13,
35522,
312,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
16728,
13,
... |
What is Fitzroy's Home team Crowd? | SELECT SUM("Crowd") FROM table_77752 WHERE "Home team" = 'fitzroy' | [
2061,
318,
16703,
3287,
338,
5995,
1074,
29452,
30,
46506,
35683,
7203,
34,
3986,
4943,
16034,
3084,
62,
3324,
43665,
33411,
366,
16060,
1074,
1,
796,
705,
69,
4224,
3287,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
16703,
3287,
338,
5995,
1074,
29452,
30,
46506,
35683,
7203,
34,
3986,
4943,
16034,
3084,
62,
3324,
43665,
33411,
366,
16060,
1074,
1,
796,
705,
69,
4224,
3287,
6
] |
how many points have the away teams scored all together ? | SELECT SUM("score") FROM table_203_184 | [
4919,
867,
2173,
423,
262,
1497,
3466,
7781,
477,
1978,
5633,
46506,
35683,
7203,
26675,
4943,
16034,
3084,
62,
22416,
62,
22883
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
2173,
423,
262,
1497,
3466,
7781,
477,
1978,
5633,
46506,
35683,
7203,
26675,
4943,
16034,
3084,
62,
22416,
62,
22883
] |
A bar chart for showing the number of the musical nominee with award 'Bob Fosse' or 'Cleavant Derricks'. | SELECT Nominee, COUNT(Nominee) FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" GROUP BY Nominee | [
32,
2318,
8262,
329,
4478,
262,
1271,
286,
262,
10530,
10429,
351,
5764,
705,
18861,
376,
418,
325,
6,
393,
705,
34349,
615,
415,
9626,
23706,
4458,
46506,
21198,
500,
68,
11,
327,
28270,
7,
45,
296,
500,
68,
8,
16034,
10530,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
32,
2318,
8262,
329,
4478,
262,
1271,
286,
262,
10530,
10429,
351,
5764,
705,
18861,
376,
418,
325,
6,
393,
705,
34349,
615,
415,
9626,
23706,
4458,
46506,
21198,
500,
68,
11,
327,
28270,
7,
45,
296,
500,
68,
8,
16034,
10530,
33411,... |
Which Rank is the highest one that has Points of 248, and a 1st (m) larger than 123.5? | SELECT MAX("Rank") FROM table_5025 WHERE "Points" = '248' AND "1st (m)" > '123.5' | [
13828,
10916,
318,
262,
4511,
530,
326,
468,
11045,
286,
32996,
11,
290,
257,
352,
301,
357,
76,
8,
4025,
621,
17031,
13,
20,
30,
46506,
25882,
7203,
27520,
4943,
16034,
3084,
62,
1120,
1495,
33411,
366,
40710,
1,
796,
705,
23045,
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
] | [
13828,
10916,
318,
262,
4511,
530,
326,
468,
11045,
286,
32996,
11,
290,
257,
352,
301,
357,
76,
8,
4025,
621,
17031,
13,
20,
30,
46506,
25882,
7203,
27520,
4943,
16034,
3084,
62,
1120,
1495,
33411,
366,
40710,
1,
796,
705,
23045,
6... |
What is the area of the place that has a population density of 331.4? | SELECT MAX(area__km²_) FROM table_1067441_1 WHERE density = "331.4" | [
2061,
318,
262,
1989,
286,
262,
1295,
326,
468,
257,
3265,
12109,
286,
43722,
13,
19,
30,
46506,
25882,
7,
20337,
834,
13276,
31185,
62,
8,
16034,
3084,
62,
940,
3134,
39710,
62,
16,
33411,
12109,
796,
366,
31697,
13,
19,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1989,
286,
262,
1295,
326,
468,
257,
3265,
12109,
286,
43722,
13,
19,
30,
46506,
25882,
7,
20337,
834,
13276,
31185,
62,
8,
16034,
3084,
62,
940,
3134,
39710,
62,
16,
33411,
12109,
796,
366,
31697,
13,
19,
1
] |
Tell me the lowest # of bids for win percent of .667 | SELECT MIN(_number_of_bids) FROM table_name_38 WHERE win__percentage = ".667" | [
24446,
502,
262,
9016,
1303,
286,
27837,
329,
1592,
1411,
286,
764,
28933,
46506,
20625,
28264,
17618,
62,
1659,
62,
65,
2340,
8,
16034,
3084,
62,
3672,
62,
2548,
33411,
1592,
834,
25067,
496,
796,
27071,
28933,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9016,
1303,
286,
27837,
329,
1592,
1411,
286,
764,
28933,
46506,
20625,
28264,
17618,
62,
1659,
62,
65,
2340,
8,
16034,
3084,
62,
3672,
62,
2548,
33411,
1592,
834,
25067,
496,
796,
27071,
28933,
1
] |
What is the title of the episode that had 9.76 million U.S. viewers? | SELECT "Title" FROM table_24834 WHERE "U.S. viewers (millions)" = '9.76' | [
2061,
318,
262,
3670,
286,
262,
4471,
326,
550,
860,
13,
4304,
1510,
471,
13,
50,
13,
10209,
30,
46506,
366,
19160,
1,
16034,
3084,
62,
23045,
2682,
33411,
366,
52,
13,
50,
13,
10209,
357,
17805,
507,
16725,
796,
705,
24,
13,
4304... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3670,
286,
262,
4471,
326,
550,
860,
13,
4304,
1510,
471,
13,
50,
13,
10209,
30,
46506,
366,
19160,
1,
16034,
3084,
62,
23045,
2682,
33411,
366,
52,
13,
50,
13,
10209,
357,
17805,
507,
16725,
796,
705,
24,
13,
4304... |
What is the Result of the Competition at MBPJ Stadium with a Score of 4 0? | SELECT result FROM table_name_95 WHERE score = "4–0" AND venue = "mbpj stadium" | [
2061,
318,
262,
25414,
286,
262,
27348,
379,
10771,
47,
41,
10499,
351,
257,
15178,
286,
604,
657,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
3865,
33411,
4776,
796,
366,
19,
1906,
15,
1,
5357,
14359,
796,
366,
2022,
79,
73,
10308,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
25414,
286,
262,
27348,
379,
10771,
47,
41,
10499,
351,
257,
15178,
286,
604,
657,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
3865,
33411,
4776,
796,
366,
19,
1906,
15,
1,
5357,
14359,
796,
366,
2022,
79,
73,
10308,... |
What's the participle when the verbal noun is i-bil-tze? | SELECT "Participle" FROM table_556 WHERE "Verbal noun" = 'i-bil-tze' | [
2061,
338,
262,
1344,
2480,
618,
262,
17755,
23227,
318,
1312,
12,
33473,
12,
83,
2736,
30,
46506,
366,
7841,
291,
2480,
1,
16034,
3084,
62,
37864,
33411,
366,
13414,
6893,
23227,
1,
796,
705,
72,
12,
33473,
12,
83,
2736,
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,
1344,
2480,
618,
262,
17755,
23227,
318,
1312,
12,
33473,
12,
83,
2736,
30,
46506,
366,
7841,
291,
2480,
1,
16034,
3084,
62,
37864,
33411,
366,
13414,
6893,
23227,
1,
796,
705,
72,
12,
33473,
12,
83,
2736,
6
] |
please show me airlines with service from BOSTON to DENVER | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_na... | [
29688,
905,
502,
26225,
351,
2139,
422,
347,
10892,
1340,
284,
37692,
28884,
36,
16779,
360,
8808,
1268,
4177,
18091,
13,
958,
1370,
62,
8189,
16034,
18091,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
29688,
905,
502,
26225,
351,
2139,
422,
347,
10892,
1340,
284,
37692,
28884,
36,
16779,
360,
8808,
1268,
4177,
18091,
13,
958,
1370,
62,
8189,
16034,
18091,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
... |
How many episodes were seen by 0.67 million US viewers on their original air dates? | SELECT COUNT("Original air date") FROM table_662 WHERE "U.S. viewers (million)" = '0.67' | [
2437,
867,
8640,
547,
1775,
416,
657,
13,
3134,
1510,
1294,
10209,
319,
511,
2656,
1633,
9667,
30,
46506,
327,
28270,
7203,
20556,
1633,
3128,
4943,
16034,
3084,
62,
39380,
33411,
366,
52,
13,
50,
13,
10209,
357,
14100,
16725,
796,
70... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1775,
416,
657,
13,
3134,
1510,
1294,
10209,
319,
511,
2656,
1633,
9667,
30,
46506,
327,
28270,
7203,
20556,
1633,
3128,
4943,
16034,
3084,
62,
39380,
33411,
366,
52,
13,
50,
13,
10209,
357,
14100,
16725,
796,
70... |
Find the names of items whose rank is higher than 3 and whose average rating is above 5. | SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rank > 3 INTERSECT SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id HAVING AVG(T2.rating) > 5 | [
16742,
262,
3891,
286,
3709,
3025,
4279,
318,
2440,
621,
513,
290,
3025,
2811,
7955,
318,
2029,
642,
13,
46506,
309,
16,
13,
7839,
16034,
2378,
7054,
309,
16,
32357,
1268,
2423,
7054,
309,
17,
6177,
309,
16,
13,
72,
62,
312,
796,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
16742,
262,
3891,
286,
3709,
3025,
4279,
318,
2440,
621,
513,
290,
3025,
2811,
7955,
318,
2029,
642,
13,
46506,
309,
16,
13,
7839,
16034,
2378,
7054,
309,
16,
32357,
1268,
2423,
7054,
309,
17,
6177,
309,
16,
13,
72,
62,
312,
796,
... |
Return a bar chart about the distribution of All_Neutral and ACC_Percent , I want to display from high to low by the total number. | SELECT All_Neutral, ACC_Percent FROM basketball_match ORDER BY ACC_Percent DESC | [
13615,
257,
2318,
8262,
546,
262,
6082,
286,
1439,
62,
8199,
6815,
290,
15859,
62,
31905,
837,
314,
765,
284,
3359,
422,
1029,
284,
1877,
416,
262,
2472,
1271,
13,
46506,
1439,
62,
8199,
6815,
11,
15859,
62,
31905,
16034,
9669,
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
] | [
13615,
257,
2318,
8262,
546,
262,
6082,
286,
1439,
62,
8199,
6815,
290,
15859,
62,
31905,
837,
314,
765,
284,
3359,
422,
1029,
284,
1877,
416,
262,
2472,
1271,
13,
46506,
1439,
62,
8199,
6815,
11,
15859,
62,
31905,
16034,
9669,
62,
... |
Find all actors born in ' Los Angeles | SELECT name FROM actor WHERE birth_city = 'Los Angeles' | [
16742,
477,
10544,
4642,
287,
705,
5401,
5652,
46506,
1438,
16034,
8674,
33411,
4082,
62,
19205,
796,
705,
28903,
5652,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
477,
10544,
4642,
287,
705,
5401,
5652,
46506,
1438,
16034,
8674,
33411,
4082,
62,
19205,
796,
705,
28903,
5652,
6
] |
On what surface was the opponent Michael Berrer? | SELECT "Surface" FROM table_6381 WHERE "Opponent" = 'michael berrer' | [
2202,
644,
4417,
373,
262,
6125,
3899,
4312,
11751,
30,
46506,
366,
14214,
2550,
1,
16034,
3084,
62,
21,
36626,
33411,
366,
27524,
3471,
1,
796,
705,
76,
40302,
18157,
11751,
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
] | [
2202,
644,
4417,
373,
262,
6125,
3899,
4312,
11751,
30,
46506,
366,
14214,
2550,
1,
16034,
3084,
62,
21,
36626,
33411,
366,
27524,
3471,
1,
796,
705,
76,
40302,
18157,
11751,
6
] |
What is the largest ethnic group in (hungarian: kispiac)? | SELECT largest_ethnic_group__2002_ FROM table_2562572_33 WHERE cyrillic_name_other_names = "Мале Пијаце (Hungarian: Kispiac)" | [
2061,
318,
262,
4387,
9450,
1448,
287,
357,
43274,
3699,
25,
479,
8802,
9607,
19427,
46506,
4387,
62,
38546,
62,
8094,
834,
16942,
62,
16034,
3084,
62,
11645,
1495,
4761,
62,
2091,
33411,
269,
2417,
359,
291,
62,
3672,
62,
847,
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... | [
2061,
318,
262,
4387,
9450,
1448,
287,
357,
43274,
3699,
25,
479,
8802,
9607,
19427,
46506,
4387,
62,
38546,
62,
8094,
834,
16942,
62,
16034,
3084,
62,
11645,
1495,
4761,
62,
2091,
33411,
269,
2417,
359,
291,
62,
3672,
62,
847,
62,
... |
Which county has a membership of 1, a franchise type of corporation and a borough of Ennis? | SELECT county FROM table_24329520_8 WHERE members = 1 AND franchise_type = "Corporation" AND borough = "Ennis" | [
13828,
7968,
468,
257,
9931,
286,
352,
11,
257,
8663,
2099,
286,
12017,
290,
257,
33534,
286,
2039,
21361,
30,
46506,
7968,
16034,
3084,
62,
26660,
25710,
1238,
62,
23,
33411,
1866,
796,
352,
5357,
8663,
62,
4906,
796,
366,
10606,
181... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7968,
468,
257,
9931,
286,
352,
11,
257,
8663,
2099,
286,
12017,
290,
257,
33534,
286,
2039,
21361,
30,
46506,
7968,
16034,
3084,
62,
26660,
25710,
1238,
62,
23,
33411,
1866,
796,
352,
5357,
8663,
62,
4906,
796,
366,
10606,
181... |
Name the lowest round for when pole position and winning driver is michael schumacher | SELECT MIN(round) FROM table_name_27 WHERE fastest_lap = "michael schumacher" AND winning_driver = "michael schumacher" AND pole_position = "michael schumacher" | [
5376,
262,
9016,
2835,
329,
618,
16825,
2292,
290,
5442,
4639,
318,
285,
40302,
5513,
388,
3493,
46506,
20625,
7,
744,
8,
16034,
3084,
62,
3672,
62,
1983,
33411,
14162,
62,
37796,
796,
366,
76,
40302,
5513,
388,
3493,
1,
5357,
5442,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2835,
329,
618,
16825,
2292,
290,
5442,
4639,
318,
285,
40302,
5513,
388,
3493,
46506,
20625,
7,
744,
8,
16034,
3084,
62,
3672,
62,
1983,
33411,
14162,
62,
37796,
796,
366,
76,
40302,
5513,
388,
3493,
1,
5357,
5442,
... |
What is the average To Par, when Score is '72-67-71-72=282'? | SELECT AVG(to_par) FROM table_name_40 WHERE score = 72 - 67 - 71 - 72 = 282 | [
2061,
318,
262,
2811,
1675,
2547,
11,
618,
15178,
318,
705,
4761,
12,
3134,
12,
4869,
12,
4761,
28,
32568,
30960,
46506,
35224,
7,
1462,
62,
1845,
8,
16034,
3084,
62,
3672,
62,
1821,
33411,
4776,
796,
7724,
532,
8275,
532,
9166,
532... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1675,
2547,
11,
618,
15178,
318,
705,
4761,
12,
3134,
12,
4869,
12,
4761,
28,
32568,
30960,
46506,
35224,
7,
1462,
62,
1845,
8,
16034,
3084,
62,
3672,
62,
1821,
33411,
4776,
796,
7724,
532,
8275,
532,
9166,
532... |
Find the first names of the faculty members who participate in Canoeing and Kayaking. | SELECT T1.lname FROM faculty AS T1 JOIN faculty_participates_in AS T2 ON T1.facid = T2.facid JOIN activity AS T3 ON T2.actid = T2.actid WHERE T3.activity_name = 'Canoeing' INTERSECT SELECT T1.lname FROM faculty AS T1 JOIN faculty_participates_in AS T2 ON T1.facid = T2.facid JOIN activity AS T3 ON T2.actid = T2.actid WH... | [
16742,
262,
717,
3891,
286,
262,
12829,
1866,
508,
8277,
287,
1680,
2577,
278,
290,
17356,
868,
13,
46506,
309,
16,
13,
75,
3672,
16034,
12829,
7054,
309,
16,
32357,
1268,
12829,
62,
48013,
689,
62,
259,
7054,
309,
17,
6177,
309,
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,
1,
1,
1... | [
16742,
262,
717,
3891,
286,
262,
12829,
1866,
508,
8277,
287,
1680,
2577,
278,
290,
17356,
868,
13,
46506,
309,
16,
13,
75,
3672,
16034,
12829,
7054,
309,
16,
32357,
1268,
12829,
62,
48013,
689,
62,
259,
7054,
309,
17,
6177,
309,
16... |
List all high rebound entries from May 11. | SELECT high_rebounds FROM table_22654073_13 WHERE date = "May 11" | [
8053,
477,
1029,
23623,
12784,
422,
1737,
1367,
13,
46506,
1029,
62,
34806,
3733,
16034,
3084,
62,
1828,
2996,
1821,
4790,
62,
1485,
33411,
3128,
796,
366,
6747,
1367,
1
] | [
1,
1,
1,
1,
1,
1,
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,
1029,
23623,
12784,
422,
1737,
1367,
13,
46506,
1029,
62,
34806,
3733,
16034,
3084,
62,
1828,
2996,
1821,
4790,
62,
1485,
33411,
3128,
796,
366,
6747,
1367,
1
] |
Which Inhabitants have a Party of democratic party, and a Municipality of florence, and an Election smaller than 2009? | SELECT MIN(inhabitants) FROM table_name_99 WHERE party = "democratic party" AND municipality = "florence" AND election < 2009 | [
13828,
554,
5976,
270,
1187,
423,
257,
3615,
286,
10518,
2151,
11,
290,
257,
27338,
1483,
286,
781,
382,
1198,
11,
290,
281,
14219,
4833,
621,
3717,
30,
46506,
20625,
7,
259,
5976,
270,
1187,
8,
16034,
3084,
62,
3672,
62,
2079,
3341... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
554,
5976,
270,
1187,
423,
257,
3615,
286,
10518,
2151,
11,
290,
257,
27338,
1483,
286,
781,
382,
1198,
11,
290,
281,
14219,
4833,
621,
3717,
30,
46506,
20625,
7,
259,
5976,
270,
1187,
8,
16034,
3084,
62,
3672,
62,
2079,
3341... |
Got the most badges on the same day. | WITH Raw AS (SELECT UserId, DATEFROMPARTS(TIME_TO_STR(Date, '%Y'), TIME_TO_STR(Date, '%M'), TIME_TO_STR(Date, '%-d')) AS Date FROM Badges) SELECT UserId, UserId AS "user_link", Date, COUNT(*) AS N FROM Raw GROUP BY UserId, Date ORDER BY N DESC, UserId LIMIT 100 | [
30074,
262,
749,
37583,
319,
262,
976,
1110,
13,
54,
10554,
16089,
7054,
357,
46506,
11787,
7390,
11,
360,
6158,
10913,
2662,
27082,
4694,
7,
34694,
62,
10468,
62,
18601,
7,
10430,
11,
705,
4,
56,
33809,
20460,
62,
10468,
62,
18601,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
30074,
262,
749,
37583,
319,
262,
976,
1110,
13,
54,
10554,
16089,
7054,
357,
46506,
11787,
7390,
11,
360,
6158,
10913,
2662,
27082,
4694,
7,
34694,
62,
10468,
62,
18601,
7,
10430,
11,
705,
4,
56,
33809,
20460,
62,
10468,
62,
18601,
... |
What South Dakota has Bush of Oklahoma? | SELECT "South Dakota" FROM table_9951 WHERE "Oklahoma" = 'bush' | [
2061,
2520,
13336,
468,
5511,
286,
10433,
30,
46506,
366,
14942,
13336,
1,
16034,
3084,
62,
2079,
4349,
33411,
366,
18690,
9802,
1,
796,
705,
50231,
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,
2520,
13336,
468,
5511,
286,
10433,
30,
46506,
366,
14942,
13336,
1,
16034,
3084,
62,
2079,
4349,
33411,
366,
18690,
9802,
1,
796,
705,
50231,
6
] |
how many patients whose ethnicity is unknown/not specified and primary disease is left femur fracture? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "UNKNOWN/NOT SPECIFIED" AND demographic.diagnosis = "LEFT FEMUR FRACTURE" | [
4919,
867,
3871,
3025,
26289,
318,
6439,
14,
1662,
7368,
290,
4165,
4369,
318,
1364,
2796,
333,
31846,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
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... | [
4919,
867,
3871,
3025,
26289,
318,
6439,
14,
1662,
7368,
290,
4165,
4369,
318,
1364,
2796,
333,
31846,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,... |
For what tournament was Bubba Watson the runner-up? | SELECT "Tournament" FROM table_15461 WHERE "Runner(s)-up" = 'bubba watson' | [
1890,
644,
7756,
373,
19645,
7012,
14959,
262,
17490,
12,
929,
30,
46506,
366,
51,
5138,
1,
16034,
3084,
62,
1314,
40652,
33411,
366,
49493,
7,
82,
13219,
929,
1,
796,
705,
46176,
7012,
266,
13506,
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
] | [
1890,
644,
7756,
373,
19645,
7012,
14959,
262,
17490,
12,
929,
30,
46506,
366,
51,
5138,
1,
16034,
3084,
62,
1314,
40652,
33411,
366,
49493,
7,
82,
13219,
929,
1,
796,
705,
46176,
7012,
266,
13506,
6
] |
Where was the game that the attendance was 24,694? | SELECT MIN("Game") FROM table_10508 WHERE "Attendance" = '24,694' | [
8496,
373,
262,
983,
326,
262,
14858,
373,
1987,
11,
45214,
30,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
940,
33042,
33411,
366,
8086,
437,
590,
1,
796,
705,
1731,
11,
45214,
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
] | [
8496,
373,
262,
983,
326,
262,
14858,
373,
1987,
11,
45214,
30,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
940,
33042,
33411,
366,
8086,
437,
590,
1,
796,
705,
1731,
11,
45214,
6
] |
Find the first name of students who are living in the Smith Hall. | SELECT T1.fname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid JOIN dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall' | [
16742,
262,
717,
1438,
286,
2444,
508,
389,
2877,
287,
262,
4176,
4789,
13,
46506,
309,
16,
13,
69,
3672,
16034,
3710,
7054,
309,
16,
32357,
1268,
3160,
62,
259,
7054,
309,
17,
6177,
309,
16,
13,
301,
27112,
796,
309,
17,
13,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
717,
1438,
286,
2444,
508,
389,
2877,
287,
262,
4176,
4789,
13,
46506,
309,
16,
13,
69,
3672,
16034,
3710,
7054,
309,
16,
32357,
1268,
3160,
62,
259,
7054,
309,
17,
6177,
309,
16,
13,
301,
27112,
796,
309,
17,
13,
301,... |
Who is the home team who plays at Glenferrie Oval? | SELECT "Home team" FROM table_52437 WHERE "Venue" = 'glenferrie oval' | [
8241,
318,
262,
1363,
1074,
508,
5341,
379,
20716,
2232,
5034,
25165,
30,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
48057,
2718,
33411,
366,
37522,
518,
1,
796,
705,
4743,
268,
2232,
5034,
41186,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
318,
262,
1363,
1074,
508,
5341,
379,
20716,
2232,
5034,
25165,
30,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
48057,
2718,
33411,
366,
37522,
518,
1,
796,
705,
4743,
268,
2232,
5034,
41186,
6
] |
what is the number of ties listed ? | SELECT COUNT(*) FROM table_204_475 WHERE "score" = "score" | [
10919,
318,
262,
1271,
286,
8470,
5610,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
32576,
33411,
366,
26675,
1,
796,
366,
26675,
1
] | [
1,
1,
1,
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,
8470,
5610,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
32576,
33411,
366,
26675,
1,
796,
366,
26675,
1
] |
Show the number of heads of departments born in each state with a bar chart, and order in desc by the total number. | SELECT born_state, COUNT(born_state) FROM head GROUP BY born_state ORDER BY COUNT(born_state) DESC | [
15307,
262,
1271,
286,
6665,
286,
13346,
4642,
287,
1123,
1181,
351,
257,
2318,
8262,
11,
290,
1502,
287,
1715,
416,
262,
2472,
1271,
13,
46506,
4642,
62,
5219,
11,
327,
28270,
7,
6286,
62,
5219,
8,
16034,
1182,
44441,
11050,
4642,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
286,
6665,
286,
13346,
4642,
287,
1123,
1181,
351,
257,
2318,
8262,
11,
290,
1502,
287,
1715,
416,
262,
2472,
1271,
13,
46506,
4642,
62,
5219,
11,
327,
28270,
7,
6286,
62,
5219,
8,
16034,
1182,
44441,
11050,
4642,
... |
What was the score of the game when the high rebounds Jeff Foster (10)? | SELECT score FROM table_17326036_6 WHERE high_rebounds = "Jeff Foster (10)" | [
2061,
373,
262,
4776,
286,
262,
983,
618,
262,
1029,
18841,
5502,
18489,
357,
940,
19427,
46506,
4776,
16034,
3084,
62,
1558,
2624,
1899,
2623,
62,
21,
33411,
1029,
62,
34806,
3733,
796,
366,
19139,
18489,
357,
940,
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,
373,
262,
4776,
286,
262,
983,
618,
262,
1029,
18841,
5502,
18489,
357,
940,
19427,
46506,
4776,
16034,
3084,
62,
1558,
2624,
1899,
2623,
62,
21,
33411,
1029,
62,
34806,
3733,
796,
366,
19139,
18489,
357,
940,
16725
] |
had any organism found in the last sputum, tracheal specimen microbiology test of patient 031-9128 until 2104? | SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-9128')) AND microlab.culturesite = 'sputum, tracheal specimen' AND STRFTIM... | [
18108,
597,
26433,
1043,
287,
262,
938,
599,
315,
388,
11,
491,
4891,
282,
31674,
24559,
1435,
1332,
286,
5827,
657,
3132,
12,
24,
12762,
1566,
362,
13464,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
4580,
23912,
33411,
4580,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
597,
26433,
1043,
287,
262,
938,
599,
315,
388,
11,
491,
4891,
282,
31674,
24559,
1435,
1332,
286,
5827,
657,
3132,
12,
24,
12762,
1566,
362,
13464,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
4580,
23912,
33411,
4580,
2... |
Which Variant id has the GenBank id of nm_005411.4? | SELECT "Variant id" FROM table_5219 WHERE "GenBank id" = 'nm_005411.4' | [
13828,
38215,
4686,
468,
262,
5215,
28650,
4686,
286,
28642,
62,
405,
4051,
1157,
13,
19,
30,
46506,
366,
23907,
415,
4686,
1,
16034,
3084,
62,
4309,
1129,
33411,
366,
13746,
28650,
4686,
1,
796,
705,
21533,
62,
405,
4051,
1157,
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
] | [
13828,
38215,
4686,
468,
262,
5215,
28650,
4686,
286,
28642,
62,
405,
4051,
1157,
13,
19,
30,
46506,
366,
23907,
415,
4686,
1,
16034,
3084,
62,
4309,
1129,
33411,
366,
13746,
28650,
4686,
1,
796,
705,
21533,
62,
405,
4051,
1157,
13,
... |
What was the date of the game for the HartlePool United team? | SELECT "Date" FROM table_63723 WHERE "Home team" = 'hartlepool united' | [
2061,
373,
262,
3128,
286,
262,
983,
329,
262,
11345,
293,
27201,
1578,
1074,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
21,
2718,
1954,
33411,
366,
16060,
1074,
1,
796,
705,
18647,
293,
7742,
16503,
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,
373,
262,
3128,
286,
262,
983,
329,
262,
11345,
293,
27201,
1578,
1074,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
21,
2718,
1954,
33411,
366,
16060,
1074,
1,
796,
705,
18647,
293,
7742,
16503,
6
] |
Tell me the club with a replacement of alberto malesani | SELECT club FROM table_name_8 WHERE replacement = "alberto malesani" | [
24446,
502,
262,
3430,
351,
257,
9014,
286,
435,
32371,
10835,
3216,
46506,
3430,
16034,
3084,
62,
3672,
62,
23,
33411,
9014,
796,
366,
282,
32371,
10835,
3216,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
24446,
502,
262,
3430,
351,
257,
9014,
286,
435,
32371,
10835,
3216,
46506,
3430,
16034,
3084,
62,
3672,
62,
23,
33411,
9014,
796,
366,
282,
32371,
10835,
3216,
1
] |
What is the lowest against score for Twickenham, London with the status of Five Nations against Ireland? | SELECT MIN(against) FROM table_name_16 WHERE venue = "twickenham, london" AND status = "five nations" AND opposing_teams = "ireland" | [
2061,
318,
262,
9016,
1028,
4776,
329,
1815,
5973,
2763,
11,
3576,
351,
262,
3722,
286,
10579,
7973,
1028,
7517,
30,
46506,
20625,
7,
32826,
8,
16034,
3084,
62,
3672,
62,
1433,
33411,
14359,
796,
366,
4246,
5973,
2763,
11,
300,
3391,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1028,
4776,
329,
1815,
5973,
2763,
11,
3576,
351,
262,
3722,
286,
10579,
7973,
1028,
7517,
30,
46506,
20625,
7,
32826,
8,
16034,
3084,
62,
3672,
62,
1433,
33411,
14359,
796,
366,
4246,
5973,
2763,
11,
300,
3391,
... |
What's the lowest DCSF number in Aycliffe Drive but an Ofsted number smaller than 117335? | SELECT MIN("DCSF number") FROM table_33921 WHERE "Name" = 'aycliffe drive' AND "Ofsted number" < '117335' | [
2061,
338,
262,
9016,
6257,
20802,
1271,
287,
13709,
33783,
9974,
475,
281,
3226,
30679,
1271,
4833,
621,
19048,
27326,
30,
46506,
20625,
7203,
49513,
37,
1271,
4943,
16034,
3084,
62,
29626,
2481,
33411,
366,
5376,
1,
796,
705,
323,
337... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9016,
6257,
20802,
1271,
287,
13709,
33783,
9974,
475,
281,
3226,
30679,
1271,
4833,
621,
19048,
27326,
30,
46506,
20625,
7203,
49513,
37,
1271,
4943,
16034,
3084,
62,
29626,
2481,
33411,
366,
5376,
1,
796,
705,
323,
337... |
Name the number of year for 6 3, 6 2 hard surface | SELECT COUNT(year) FROM table_23235767_4 WHERE score_in_the_final = "6–3, 6–2" AND surface = "Hard" | [
5376,
262,
1271,
286,
614,
329,
718,
513,
11,
718,
362,
1327,
4417,
46506,
327,
28270,
7,
1941,
8,
16034,
3084,
62,
1954,
1954,
3553,
3134,
62,
19,
33411,
4776,
62,
259,
62,
1169,
62,
20311,
796,
366,
21,
1906,
18,
11,
718,
1906,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
286,
614,
329,
718,
513,
11,
718,
362,
1327,
4417,
46506,
327,
28270,
7,
1941,
8,
16034,
3084,
62,
1954,
1954,
3553,
3134,
62,
19,
33411,
4776,
62,
259,
62,
1169,
62,
20311,
796,
366,
21,
1906,
18,
11,
718,
1906,
... |
Find the ids of reviewers who didn't only give 4 star. | SELECT rID FROM Rating WHERE stars <> 4 | [
16742,
262,
220,
2340,
286,
30702,
508,
1422,
470,
691,
1577,
604,
3491,
13,
46506,
374,
2389,
16034,
12028,
33411,
5788,
1279,
29,
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
] | [
16742,
262,
220,
2340,
286,
30702,
508,
1422,
470,
691,
1577,
604,
3491,
13,
46506,
374,
2389,
16034,
12028,
33411,
5788,
1279,
29,
604
] |
Name the constituted for labor and scullin ministry | SELECT constituted FROM table_name_86 WHERE party = "labor" AND name = "scullin ministry" | [
5376,
262,
27276,
329,
4827,
290,
629,
724,
259,
11957,
46506,
27276,
16034,
3084,
62,
3672,
62,
4521,
33411,
2151,
796,
366,
75,
4820,
1,
5357,
1438,
796,
366,
1416,
724,
259,
11957,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
27276,
329,
4827,
290,
629,
724,
259,
11957,
46506,
27276,
16034,
3084,
62,
3672,
62,
4521,
33411,
2151,
796,
366,
75,
4820,
1,
5357,
1438,
796,
366,
1416,
724,
259,
11957,
1
] |
alcohol abuse | SELECT * FROM table_dev_10 WHERE alcohol_abuse = 1 | [
42142,
5076,
46506,
1635,
16034,
3084,
62,
7959,
62,
940,
33411,
5548,
62,
47158,
796,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
42142,
5076,
46506,
1635,
16034,
3084,
62,
7959,
62,
940,
33411,
5548,
62,
47158,
796,
352
] |
provide the number of patients whose diagnoses short title is long-term use of aspirin and drug route is iv bolus? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Long-term use of aspirin" AND prescriptions.route = "IV BOLUS" | [
15234,
485,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
890,
12,
4354,
779,
286,
49550,
290,
2563,
6339,
318,
21628,
11572,
385,
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... | [
15234,
485,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
890,
12,
4354,
779,
286,
49550,
290,
2563,
6339,
318,
21628,
11572,
385,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,... |
what is the number of patients whose age is less than 20 and days of hospital stay is greater than 14? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "20" AND demographic.days_stay > "14" | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
1160,
290,
1528,
286,
4436,
2652,
318,
3744,
621,
1478,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
496,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1160,
290,
1528,
286,
4436,
2652,
318,
3744,
621,
1478,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
496,
... |
MOSTRAR TODOS LOS USUARIOS MAYORES DE EDAD. | SELECT * FROM Users | [
44,
10892,
49,
1503,
16926,
2640,
406,
2640,
1294,
52,
33604,
2640,
26720,
1581,
1546,
5550,
8392,
2885,
13,
46506,
1635,
16034,
18987
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
44,
10892,
49,
1503,
16926,
2640,
406,
2640,
1294,
52,
33604,
2640,
26720,
1581,
1546,
5550,
8392,
2885,
13,
46506,
1635,
16034,
18987
] |
what is the number of patients whose age is less than 79 and lab test name is alanine aminotransferase (alt)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "79" AND lab.label = "Alanine Aminotransferase (ALT)" | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
9225,
290,
2248,
1332,
1438,
318,
435,
272,
500,
716,
259,
313,
26084,
2232,
589,
357,
2501,
19427,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
9225,
290,
2248,
1332,
1438,
318,
435,
272,
500,
716,
259,
313,
26084,
2232,
589,
357,
2501,
19427,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
... |
When Cementarnica is team 2 what is the aggregate score? | SELECT agg FROM table_name_65 WHERE team_2 = "cementarnica" | [
2215,
327,
972,
1501,
3970,
318,
1074,
362,
644,
318,
262,
19406,
4776,
30,
46506,
4194,
16034,
3084,
62,
3672,
62,
2996,
33411,
1074,
62,
17,
796,
366,
344,
434,
1501,
3970,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
327,
972,
1501,
3970,
318,
1074,
362,
644,
318,
262,
19406,
4776,
30,
46506,
4194,
16034,
3084,
62,
3672,
62,
2996,
33411,
1074,
62,
17,
796,
366,
344,
434,
1501,
3970,
1
] |
List all manufacturer names and ids ordered by their opening year. | SELECT name, manufacturer_id FROM manufacturer ORDER BY open_year | [
8053,
477,
11554,
3891,
290,
220,
2340,
6149,
416,
511,
4756,
614,
13,
46506,
1438,
11,
11554,
62,
312,
16034,
11554,
38678,
11050,
1280,
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
] | [
8053,
477,
11554,
3891,
290,
220,
2340,
6149,
416,
511,
4756,
614,
13,
46506,
1438,
11,
11554,
62,
312,
16034,
11554,
38678,
11050,
1280,
62,
1941
] |
What are the different classes of races, and how many races correspond to each Show bar chart, could you list y-axis in desc order? | SELECT Class, COUNT(*) FROM race GROUP BY Class ORDER BY COUNT(*) DESC | [
2061,
389,
262,
1180,
6097,
286,
9558,
11,
290,
703,
867,
9558,
6053,
284,
1123,
5438,
2318,
8262,
11,
714,
345,
1351,
331,
12,
22704,
287,
1715,
1502,
30,
46506,
5016,
11,
327,
28270,
7,
28104,
16034,
3234,
44441,
11050,
5016,
38678,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
1180,
6097,
286,
9558,
11,
290,
703,
867,
9558,
6053,
284,
1123,
5438,
2318,
8262,
11,
714,
345,
1351,
331,
12,
22704,
287,
1715,
1502,
30,
46506,
5016,
11,
327,
28270,
7,
28104,
16034,
3234,
44441,
11050,
5016,
38678,... |
Which Series has a Game larger than 1, and a Date of april 18? | SELECT "Series" FROM table_5100 WHERE "Game" > '1' AND "Date" = 'april 18' | [
13828,
7171,
468,
257,
3776,
4025,
621,
352,
11,
290,
257,
7536,
286,
46593,
346,
1248,
30,
46506,
366,
27996,
1,
16034,
3084,
62,
20,
3064,
33411,
366,
8777,
1,
1875,
705,
16,
6,
5357,
366,
10430,
1,
796,
705,
499,
22379,
1248,
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
] | [
13828,
7171,
468,
257,
3776,
4025,
621,
352,
11,
290,
257,
7536,
286,
46593,
346,
1248,
30,
46506,
366,
27996,
1,
16034,
3084,
62,
20,
3064,
33411,
366,
8777,
1,
1875,
705,
16,
6,
5357,
366,
10430,
1,
796,
705,
499,
22379,
1248,
6... |
What publishers produce product number SLUS-20265? | SELECT publisher FROM table_10875694_11 WHERE product_no = "SLUS-20265" | [
2061,
17604,
4439,
1720,
1271,
12419,
2937,
12,
1238,
22980,
30,
46506,
9991,
16034,
3084,
62,
15711,
2425,
45214,
62,
1157,
33411,
1720,
62,
3919,
796,
366,
8634,
2937,
12,
1238,
22980,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
17604,
4439,
1720,
1271,
12419,
2937,
12,
1238,
22980,
30,
46506,
9991,
16034,
3084,
62,
15711,
2425,
45214,
62,
1157,
33411,
1720,
62,
3919,
796,
366,
8634,
2937,
12,
1238,
22980,
1
] |
WHAT COUNTRY HAS A TO PAR OF +1, WITH WOODY AUSTIN? | SELECT country FROM table_name_68 WHERE to_par = "+1" AND player = "woody austin" | [
32971,
31404,
40405,
33930,
317,
5390,
29463,
3963,
1343,
16,
11,
13315,
370,
22808,
56,
317,
7759,
1268,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
3104,
33411,
284,
62,
1845,
796,
43825,
16,
1,
5357,
2137,
796,
366,
3822,
88,
38132... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
32971,
31404,
40405,
33930,
317,
5390,
29463,
3963,
1343,
16,
11,
13315,
370,
22808,
56,
317,
7759,
1268,
30,
46506,
1499,
16034,
3084,
62,
3672,
62,
3104,
33411,
284,
62,
1845,
796,
43825,
16,
1,
5357,
2137,
796,
366,
3822,
88,
38132... |
when was the last time patient 005-46456 was prescribed medication via arterial route in 11/last year? | SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-46456')) AND medication.routeadmin = 'arterial' AND DATETI... | [
12518,
373,
262,
938,
640,
5827,
3571,
20,
12,
3510,
29228,
373,
14798,
14103,
2884,
30675,
498,
6339,
287,
1367,
14,
12957,
614,
30,
46506,
14103,
13,
30349,
9688,
2435,
16034,
14103,
33411,
14103,
13,
26029,
20850,
31712,
312,
3268,
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,
1,
1,
1,
1... | [
12518,
373,
262,
938,
640,
5827,
3571,
20,
12,
3510,
29228,
373,
14798,
14103,
2884,
30675,
498,
6339,
287,
1367,
14,
12957,
614,
30,
46506,
14103,
13,
30349,
9688,
2435,
16034,
14103,
33411,
14103,
13,
26029,
20850,
31712,
312,
3268,
3... |
Draw a bar chart about the distribution of other_details and the sum of monthly_rental , and group by attribute other_details. | SELECT other_details, SUM(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC | [
25302,
257,
2318,
8262,
546,
262,
6082,
286,
584,
62,
36604,
290,
262,
2160,
286,
9651,
62,
1156,
282,
837,
290,
1448,
416,
11688,
584,
62,
36604,
13,
46506,
584,
62,
36604,
11,
35683,
7,
8424,
306,
62,
1156,
282,
8,
16034,
13613,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
25302,
257,
2318,
8262,
546,
262,
6082,
286,
584,
62,
36604,
290,
262,
2160,
286,
9651,
62,
1156,
282,
837,
290,
1448,
416,
11688,
584,
62,
36604,
13,
46506,
584,
62,
36604,
11,
35683,
7,
8424,
306,
62,
1156,
282,
8,
16034,
13613,
... |
What is the tournament with A in 2011? | SELECT tournament FROM table_name_77 WHERE 2011 = "a" | [
2061,
318,
262,
7756,
351,
317,
287,
2813,
30,
46506,
7756,
16034,
3084,
62,
3672,
62,
3324,
33411,
2813,
796,
366,
64,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
7756,
351,
317,
287,
2813,
30,
46506,
7756,
16034,
3084,
62,
3672,
62,
3324,
33411,
2813,
796,
366,
64,
1
] |
What years have 10 (0) in the finals? | SELECT years FROM table_name_33 WHERE finals = "10 (0)" | [
2061,
812,
423,
838,
357,
15,
8,
287,
262,
18576,
30,
46506,
812,
16034,
3084,
62,
3672,
62,
2091,
33411,
18576,
796,
366,
940,
357,
15,
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
] | [
2061,
812,
423,
838,
357,
15,
8,
287,
262,
18576,
30,
46506,
812,
16034,
3084,
62,
3672,
62,
2091,
33411,
18576,
796,
366,
940,
357,
15,
16725
] |
Bar chart of the number of hometown from each hometown, and I want to display total number in descending order. | SELECT Hometown, COUNT(Hometown) FROM member GROUP BY Hometown ORDER BY COUNT(Hometown) DESC | [
10374,
8262,
286,
262,
1271,
286,
20994,
422,
1123,
20994,
11,
290,
314,
765,
284,
3359,
2472,
1271,
287,
31491,
1502,
13,
46506,
367,
19191,
11,
327,
28270,
7,
39,
19191,
8,
16034,
2888,
44441,
11050,
367,
19191,
38678,
11050,
327,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10374,
8262,
286,
262,
1271,
286,
20994,
422,
1123,
20994,
11,
290,
314,
765,
284,
3359,
2472,
1271,
287,
31491,
1502,
13,
46506,
367,
19191,
11,
327,
28270,
7,
39,
19191,
8,
16034,
2888,
44441,
11050,
367,
19191,
38678,
11050,
327,
2... |
What is the lowest total that has 1992 as the year (s) won? | SELECT MIN("Total") FROM table_51093 WHERE "Year(s) won" = '1992' | [
2061,
318,
262,
9016,
2472,
326,
468,
9768,
355,
262,
614,
357,
82,
8,
1839,
30,
46506,
20625,
7203,
14957,
4943,
16034,
3084,
62,
33690,
6052,
33411,
366,
17688,
7,
82,
8,
1839,
1,
796,
705,
23847,
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,
9016,
2472,
326,
468,
9768,
355,
262,
614,
357,
82,
8,
1839,
30,
46506,
20625,
7203,
14957,
4943,
16034,
3084,
62,
33690,
6052,
33411,
366,
17688,
7,
82,
8,
1839,
1,
796,
705,
23847,
6
] |
please list all flights between BOSTON and ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA... | [
29688,
1351,
477,
13956,
1022,
347,
10892,
1340,
290,
41051,
8643,
11159,
16779,
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,
15... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
29688,
1351,
477,
13956,
1022,
347,
10892,
1340,
290,
41051,
8643,
11159,
16779,
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,
15... |
What is the lowest position of the club with 53 goals against, 26 points, and a -11 goal difference? | SELECT MIN("Position") FROM table_12152 WHERE "Goals against" = '53' AND "Points" = '26' AND "Goal Difference" > '-11' | [
2061,
318,
262,
9016,
2292,
286,
262,
3430,
351,
7192,
4661,
1028,
11,
2608,
2173,
11,
290,
257,
532,
1157,
3061,
3580,
30,
46506,
20625,
7203,
26545,
4943,
16034,
3084,
62,
1065,
17827,
33411,
366,
5247,
874,
1028,
1,
796,
705,
4310,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2292,
286,
262,
3430,
351,
7192,
4661,
1028,
11,
2608,
2173,
11,
290,
257,
532,
1157,
3061,
3580,
30,
46506,
20625,
7203,
26545,
4943,
16034,
3084,
62,
1065,
17827,
33411,
366,
5247,
874,
1028,
1,
796,
705,
4310,... |
for the rank of 8 and lane less than 3 what is the name? | SELECT name FROM table_name_99 WHERE lane < 3 AND rank = 8 | [
1640,
262,
4279,
286,
807,
290,
11193,
1342,
621,
513,
644,
318,
262,
1438,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
2079,
33411,
11193,
1279,
513,
5357,
4279,
796,
807
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1640,
262,
4279,
286,
807,
290,
11193,
1342,
621,
513,
644,
318,
262,
1438,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
2079,
33411,
11193,
1279,
513,
5357,
4279,
796,
807
] |
what is the total d5w w/20gm cagluc intake until 752 days ago that patient 16879 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 = 16879)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.lab... | [
10919,
318,
262,
2472,
288,
20,
86,
266,
14,
1238,
39870,
269,
363,
75,
1229,
10337,
1566,
767,
4309,
1528,
2084,
326,
5827,
23378,
3720,
468,
2722,
30,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
2472,
288,
20,
86,
266,
14,
1238,
39870,
269,
363,
75,
1229,
10337,
1566,
767,
4309,
1528,
2084,
326,
5827,
23378,
3720,
468,
2722,
30,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
... |
What is the Equatorial diameter of the Body: ceres? | SELECT equatorial_diameter FROM table_name_33 WHERE body = "ceres" | [
2061,
318,
262,
7889,
21592,
14753,
286,
262,
12290,
25,
2906,
411,
30,
46506,
1602,
21592,
62,
67,
13173,
16034,
3084,
62,
3672,
62,
2091,
33411,
1767,
796,
366,
344,
411,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
7889,
21592,
14753,
286,
262,
12290,
25,
2906,
411,
30,
46506,
1602,
21592,
62,
67,
13173,
16034,
3084,
62,
3672,
62,
2091,
33411,
1767,
796,
366,
344,
411,
1
] |
Name the object type with an NGC number more than 6638 and right ascensions being 18h25m37.8s | SELECT "Object type" FROM table_11365 WHERE "NGC number" > '6638' AND "Right ascension ( J2000 )" = '18h25m37.8s' | [
5376,
262,
2134,
2099,
351,
281,
399,
15916,
1271,
517,
621,
7930,
2548,
290,
826,
10570,
5736,
852,
1248,
71,
1495,
76,
2718,
13,
23,
82,
46506,
366,
10267,
2099,
1,
16034,
3084,
62,
1157,
24760,
33411,
366,
10503,
34,
1271,
1,
187... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2134,
2099,
351,
281,
399,
15916,
1271,
517,
621,
7930,
2548,
290,
826,
10570,
5736,
852,
1248,
71,
1495,
76,
2718,
13,
23,
82,
46506,
366,
10267,
2099,
1,
16034,
3084,
62,
1157,
24760,
33411,
366,
10503,
34,
1271,
1,
187... |
what airlines fly from DALLAS to BALTIMORE | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_na... | [
10919,
26225,
6129,
422,
360,
7036,
1921,
284,
347,
31429,
3955,
1581,
33635,
16779,
360,
8808,
1268,
4177,
18091,
13,
958,
1370,
62,
8189,
16034,
18091,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
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... | [
10919,
26225,
6129,
422,
360,
7036,
1921,
284,
347,
31429,
3955,
1581,
33635,
16779,
360,
8808,
1268,
4177,
18091,
13,
958,
1370,
62,
8189,
16034,
18091,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
... |
How many seasons have a sacks of 39? | SELECT COUNT("Season") FROM table_29557 WHERE "Sacks" = '39' | [
2437,
867,
7028,
423,
257,
23249,
286,
5014,
30,
46506,
327,
28270,
7203,
18960,
4943,
16034,
3084,
62,
1959,
41948,
33411,
366,
50,
4595,
1,
796,
705,
2670,
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,
7028,
423,
257,
23249,
286,
5014,
30,
46506,
327,
28270,
7203,
18960,
4943,
16034,
3084,
62,
1959,
41948,
33411,
366,
50,
4595,
1,
796,
705,
2670,
6
] |
How many total wins does Ballarat FL of East point have when the against is greater than 1000? | SELECT COUNT("Wins") FROM table_7309 WHERE "Ballarat FL" = 'east point' AND "Against" > '1000' | [
2437,
867,
2472,
7864,
857,
6932,
34174,
9977,
286,
3687,
966,
423,
618,
262,
1028,
318,
3744,
621,
8576,
30,
46506,
327,
28270,
7203,
54,
1040,
4943,
16034,
3084,
62,
22,
26895,
33411,
366,
23410,
34174,
9977,
1,
796,
705,
23316,
966... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2472,
7864,
857,
6932,
34174,
9977,
286,
3687,
966,
423,
618,
262,
1028,
318,
3744,
621,
8576,
30,
46506,
327,
28270,
7203,
54,
1040,
4943,
16034,
3084,
62,
22,
26895,
33411,
366,
23410,
34174,
9977,
1,
796,
705,
23316,
966... |
Rust questions asked before 1.0. | SELECT Posts.Id AS "post_link", Tags, CreationDate FROM Posts INNER JOIN PostTags ON PostTags.PostId = Posts.Id INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE CreationDate <= '2015-05-15' AND TagName = 'rust' ORDER BY CreationDate | [
49444,
2683,
1965,
878,
352,
13,
15,
13,
46506,
12043,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
44789,
11,
21582,
10430,
16034,
12043,
3268,
21479,
32357,
1268,
2947,
36142,
6177,
2947,
36142,
13,
6307,
7390,
796,
12043,
13,
7390,
326... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
49444,
2683,
1965,
878,
352,
13,
15,
13,
46506,
12043,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
44789,
11,
21582,
10430,
16034,
12043,
3268,
21479,
32357,
1268,
2947,
36142,
6177,
2947,
36142,
13,
6307,
7390,
796,
12043,
13,
7390,
326... |
What was the date of the home Detroit game with a decision of Joseph and a record of 27 13 5 2? | SELECT "Date" FROM table_70738 WHERE "Decision" = 'joseph' AND "Home" = 'detroit' AND "Record" = '27–13–5–2' | [
2061,
373,
262,
3128,
286,
262,
1363,
8488,
983,
351,
257,
2551,
286,
7212,
290,
257,
1700,
286,
2681,
1511,
642,
362,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
24038,
2548,
33411,
366,
10707,
1166,
1,
796,
705,
73,
577,
746,
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... | [
2061,
373,
262,
3128,
286,
262,
1363,
8488,
983,
351,
257,
2551,
286,
7212,
290,
257,
1700,
286,
2681,
1511,
642,
362,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
24038,
2548,
33411,
366,
10707,
1166,
1,
796,
705,
73,
577,
746,
6,
... |
Calculate the total number of patients admitted before the year 2110 who had a blood test by lab | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2110" AND lab.fluid = "Blood" | [
9771,
3129,
378,
262,
2472,
1271,
286,
3871,
6848,
878,
262,
614,
2310,
940,
508,
550,
257,
2910,
1332,
416,
2248,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9771,
3129,
378,
262,
2472,
1271,
286,
3871,
6848,
878,
262,
614,
2310,
940,
508,
550,
257,
2910,
1332,
416,
2248,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,... |
What are the grades served at Manchester Junior-Senior High School? | SELECT "Grades" FROM table_23356 WHERE "School" = 'Manchester Junior-Senior High School' | [
2061,
389,
262,
19051,
4983,
379,
9502,
20000,
12,
31224,
3334,
3961,
30,
46506,
366,
8642,
2367,
1,
16034,
3084,
62,
1954,
32066,
33411,
366,
26130,
1,
796,
705,
40744,
20000,
12,
31224,
3334,
3961,
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,
389,
262,
19051,
4983,
379,
9502,
20000,
12,
31224,
3334,
3961,
30,
46506,
366,
8642,
2367,
1,
16034,
3084,
62,
1954,
32066,
33411,
366,
26130,
1,
796,
705,
40744,
20000,
12,
31224,
3334,
3961,
6
] |
give me the number of patients whose diagnoses long title is benign neoplasm of spinal meninges? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Benign neoplasm of spinal meninges" | [
26535,
502,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
32293,
497,
20106,
8597,
286,
26234,
1450,
26792,
30,
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... | [
26535,
502,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
32293,
497,
20106,
8597,
286,
26234,
1450,
26792,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567... |
Who was the high point scorer in game number 68? | SELECT "High points" FROM table_20357 WHERE "Game" = '68' | [
8241,
373,
262,
1029,
966,
30664,
287,
983,
1271,
8257,
30,
46506,
366,
11922,
2173,
1,
16034,
3084,
62,
1238,
27277,
33411,
366,
8777,
1,
796,
705,
3104,
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
] | [
8241,
373,
262,
1029,
966,
30664,
287,
983,
1271,
8257,
30,
46506,
366,
11922,
2173,
1,
16034,
3084,
62,
1238,
27277,
33411,
366,
8777,
1,
796,
705,
3104,
6
] |
what number of patients have received a packed cell transfusion within 2 months after having been diagnosed with chr ischemic hrt dis nec? | 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 = 'chr ischemic hrt d... | [
10919,
1271,
286,
3871,
423,
2722,
257,
11856,
2685,
13501,
4241,
1626,
362,
1933,
706,
1719,
587,
14641,
351,
442,
81,
318,
2395,
9383,
289,
17034,
595,
27576,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
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... | [
10919,
1271,
286,
3871,
423,
2722,
257,
11856,
2685,
13501,
4241,
1626,
362,
1933,
706,
1719,
587,
14641,
351,
442,
81,
318,
2395,
9383,
289,
17034,
595,
27576,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
... |
Find All_Games and School_ID , and visualize them by a bar chart, could you list by the bars in desc? | SELECT All_Games, School_ID FROM basketball_match ORDER BY All_Games DESC | [
16742,
1439,
62,
24474,
290,
3961,
62,
2389,
837,
290,
38350,
606,
416,
257,
2318,
8262,
11,
714,
345,
1351,
416,
262,
9210,
287,
1715,
30,
46506,
1439,
62,
24474,
11,
3961,
62,
2389,
16034,
9669,
62,
15699,
38678,
11050,
1439,
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
] | [
16742,
1439,
62,
24474,
290,
3961,
62,
2389,
837,
290,
38350,
606,
416,
257,
2318,
8262,
11,
714,
345,
1351,
416,
262,
9210,
287,
1715,
30,
46506,
1439,
62,
24474,
11,
3961,
62,
2389,
16034,
9669,
62,
15699,
38678,
11050,
1439,
62,
... |
Which pick played the Defensive End position? | SELECT pick FROM table_name_3 WHERE position = "defensive end" | [
13828,
2298,
2826,
262,
24784,
5268,
2292,
30,
46506,
2298,
16034,
3084,
62,
3672,
62,
18,
33411,
2292,
796,
366,
4299,
2021,
886,
1
] | [
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,
2298,
2826,
262,
24784,
5268,
2292,
30,
46506,
2298,
16034,
3084,
62,
3672,
62,
18,
33411,
2292,
796,
366,
4299,
2021,
886,
1
] |
list SATURDAY flights from WASHINGTON to BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND days.day_name = 'SATURDAY' AND flight.flight_days = days.days_code AND ... | [
4868,
29020,
4261,
26442,
13956,
422,
370,
19436,
284,
347,
10892,
1340,
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,
154... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4868,
29020,
4261,
26442,
13956,
422,
370,
19436,
284,
347,
10892,
1340,
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,
154... |
show me one way flights from MILWAUKEE to ORLANDO | 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, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ORLANDO' AND fare.round_trip_required = 'NO' AND flight_fare.fare_id =... | [
12860,
502,
530,
835,
13956,
422,
31515,
15543,
15039,
6500,
284,
6375,
28182,
14058,
16779,
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,
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... | [
12860,
502,
530,
835,
13956,
422,
31515,
15543,
15039,
6500,
284,
6375,
28182,
14058,
16779,
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,
705... |
Name the high assists for l 103 104 (ot) | SELECT high_assists FROM table_27723526_12 WHERE score = "L 103–104 (OT)" | [
5376,
262,
1029,
13648,
329,
300,
15349,
14436,
357,
313,
8,
46506,
1029,
62,
562,
1023,
16034,
3084,
62,
27019,
22370,
2075,
62,
1065,
33411,
4776,
796,
366,
43,
15349,
1906,
13464,
357,
2394,
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
] | [
5376,
262,
1029,
13648,
329,
300,
15349,
14436,
357,
313,
8,
46506,
1029,
62,
562,
1023,
16034,
3084,
62,
27019,
22370,
2075,
62,
1065,
33411,
4776,
796,
366,
43,
15349,
1906,
13464,
357,
2394,
16725
] |
what are the prices of the drug dexamethasone? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'prescriptions' AND cost.event_id IN (SELECT prescriptions.row_id FROM prescriptions WHERE prescriptions.drug = 'dexamethasone') | [
10919,
389,
262,
4536,
286,
262,
2563,
36017,
321,
2788,
292,
505,
30,
46506,
360,
8808,
1268,
4177,
1575,
13,
15805,
16034,
1575,
33411,
1575,
13,
15596,
62,
4906,
796,
705,
18302,
24370,
6,
5357,
1575,
13,
15596,
62,
312,
3268,
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
] | [
10919,
389,
262,
4536,
286,
262,
2563,
36017,
321,
2788,
292,
505,
30,
46506,
360,
8808,
1268,
4177,
1575,
13,
15805,
16034,
1575,
33411,
1575,
13,
15596,
62,
4906,
796,
705,
18302,
24370,
6,
5357,
1575,
13,
15596,
62,
312,
3268,
357,... |
Find the names of the items that did not receive any review. | SELECT title FROM item WHERE NOT i_id IN (SELECT i_id FROM review) | [
16742,
262,
3891,
286,
262,
3709,
326,
750,
407,
3328,
597,
2423,
13,
46506,
3670,
16034,
2378,
33411,
5626,
1312,
62,
312,
3268,
357,
46506,
1312,
62,
312,
16034,
2423,
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
] | [
16742,
262,
3891,
286,
262,
3709,
326,
750,
407,
3328,
597,
2423,
13,
46506,
3670,
16034,
2378,
33411,
5626,
1312,
62,
312,
3268,
357,
46506,
1312,
62,
312,
16034,
2423,
8
] |
What is the average 5432 value with a 11502 larger than 1163, a 15122 less than 15122, and a 3620 less than 624? | SELECT AVG(5432) FROM table_name_12 WHERE 11502 > 1163 AND 15122 < 15122 AND 3620 < 624 | [
2061,
318,
262,
2811,
7175,
2624,
1988,
351,
257,
1367,
35126,
4025,
621,
1367,
5066,
11,
257,
1315,
18376,
1342,
621,
1315,
18376,
11,
290,
257,
4570,
1238,
1342,
621,
718,
1731,
30,
46506,
35224,
7,
4051,
2624,
8,
16034,
3084,
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
] | [
2061,
318,
262,
2811,
7175,
2624,
1988,
351,
257,
1367,
35126,
4025,
621,
1367,
5066,
11,
257,
1315,
18376,
1342,
621,
1315,
18376,
11,
290,
257,
4570,
1238,
1342,
621,
718,
1731,
30,
46506,
35224,
7,
4051,
2624,
8,
16034,
3084,
62,
... |
How many people attended on december 26, 1982? | SELECT attendance FROM table_name_78 WHERE date = "december 26, 1982" | [
2437,
867,
661,
9141,
319,
390,
3273,
2608,
11,
14489,
30,
46506,
14858,
16034,
3084,
62,
3672,
62,
3695,
33411,
3128,
796,
366,
2934,
3273,
2608,
11,
14489,
1
] | [
1,
1,
1,
1,
1,
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,
9141,
319,
390,
3273,
2608,
11,
14489,
30,
46506,
14858,
16034,
3084,
62,
3672,
62,
3695,
33411,
3128,
796,
366,
2934,
3273,
2608,
11,
14489,
1
] |
Resolution time for Apache Isis. | SELECT questions.Id, questions.Tags, questions.CreationDate, answers.CreationDate AS AnswerDate, (answers.CreationDate - questions.CreationDate) AS Duration FROM Posts AS questions LEFT JOIN Posts AS answers ON questions.AcceptedAnswerId = answers.Id WHERE questions.Tags LIKE '%isis%' | [
4965,
2122,
640,
329,
24843,
16530,
13,
46506,
2683,
13,
7390,
11,
2683,
13,
36142,
11,
2683,
13,
12443,
341,
10430,
11,
7429,
13,
12443,
341,
10430,
7054,
23998,
10430,
11,
357,
504,
86,
364,
13,
12443,
341,
10430,
532,
2683,
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... | [
4965,
2122,
640,
329,
24843,
16530,
13,
46506,
2683,
13,
7390,
11,
2683,
13,
36142,
11,
2683,
13,
12443,
341,
10430,
11,
7429,
13,
12443,
341,
10430,
7054,
23998,
10430,
11,
357,
504,
86,
364,
13,
12443,
341,
10430,
532,
2683,
13,
1... |
what is minimum age of patients whose admission type is emergency and year of death is less than 2154? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dod_year < "2154.0" | [
10919,
318,
5288,
2479,
286,
3871,
3025,
13938,
2099,
318,
6334,
290,
614,
286,
1918,
318,
1342,
621,
362,
21526,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
3620,
49837,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
5288,
2479,
286,
3871,
3025,
13938,
2099,
318,
6334,
290,
614,
286,
1918,
318,
1342,
621,
362,
21526,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
3620,
49837,... |
What was the result of the race that had a group of G1 at Moonee Valley? | SELECT result FROM table_name_20 WHERE group = "g1" AND venue = "moonee valley" | [
2061,
373,
262,
1255,
286,
262,
3234,
326,
550,
257,
1448,
286,
402,
16,
379,
4270,
505,
68,
6916,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
1238,
33411,
1448,
796,
366,
70,
16,
1,
5357,
14359,
796,
366,
5908,
505,
68,
19272,
1
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1255,
286,
262,
3234,
326,
550,
257,
1448,
286,
402,
16,
379,
4270,
505,
68,
6916,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
1238,
33411,
1448,
796,
366,
70,
16,
1,
5357,
14359,
796,
366,
5908,
505,
68,
19272,
1
... |
For those records from the products and each product's manufacturer, show me about the distribution of name and price , and group by attribute headquarter in a bar chart, and could you sort in desc by the Y? | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Price DESC | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
905,
502,
546,
262,
6082,
286,
1438,
290,
2756,
837,
290,
1448,
416,
11688,
1182,
24385,
287,
257,
2318,
8262,
11,
290,
714,
345,
3297,
287,
1715,
416,
262,
575,
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,
905,
502,
546,
262,
6082,
286,
1438,
290,
2756,
837,
290,
1448,
416,
11688,
1182,
24385,
287,
257,
2318,
8262,
11,
290,
714,
345,
3297,
287,
1715,
416,
262,
575,
30,
... |
Which ground's round was 33? | SELECT "Ground" FROM table_53595 WHERE "Round" = '33' | [
13828,
2323,
338,
2835,
373,
4747,
30,
46506,
366,
35539,
1,
16034,
3084,
62,
44465,
3865,
33411,
366,
22685,
1,
796,
705,
2091,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
2323,
338,
2835,
373,
4747,
30,
46506,
366,
35539,
1,
16034,
3084,
62,
44465,
3865,
33411,
366,
22685,
1,
796,
705,
2091,
6
] |
What is the Opponent with a Round with 3, and a Venue of home? | SELECT opponent FROM table_name_24 WHERE round = "3" AND venue = "home" | [
2061,
318,
262,
9385,
3471,
351,
257,
10485,
351,
513,
11,
290,
257,
9932,
518,
286,
1363,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
1731,
33411,
2835,
796,
366,
18,
1,
5357,
14359,
796,
366,
11195,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9385,
3471,
351,
257,
10485,
351,
513,
11,
290,
257,
9932,
518,
286,
1363,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
1731,
33411,
2835,
796,
366,
18,
1,
5357,
14359,
796,
366,
11195,
1
] |
Which launch date involved the Driade? | SELECT launched FROM table_13537940_1 WHERE name = "Driade" | [
13828,
4219,
3128,
2950,
262,
5809,
671,
30,
46506,
5611,
16034,
3084,
62,
17059,
29088,
1821,
62,
16,
33411,
1438,
796,
366,
20564,
671,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4219,
3128,
2950,
262,
5809,
671,
30,
46506,
5611,
16034,
3084,
62,
17059,
29088,
1821,
62,
16,
33411,
1438,
796,
366,
20564,
671,
1
] |
a fasting glucose 100 _ 125 mg / dl, or a hba1c measurement of 5.7 _ 6.4 % , or a diagnosis of prediabetes or impaired fasting glucose in the past 6 months | SELECT * FROM table_dev_36 WHERE (fasting_glucose >= 100 AND fasting_glucose <= 125) OR (hemoglobin_a1c_hba1c >= 5.7 AND hemoglobin_a1c_hba1c <= 6.4) OR (prediabetes = 1 OR impaired_fasting_glucose = 1) | [
64,
24845,
15701,
1802,
4808,
13151,
10527,
1220,
288,
75,
11,
393,
257,
289,
7012,
16,
66,
15558,
286,
642,
13,
22,
4808,
718,
13,
19,
4064,
837,
393,
257,
13669,
286,
2747,
72,
11064,
393,
22753,
24845,
15701,
287,
262,
1613,
718,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
64,
24845,
15701,
1802,
4808,
13151,
10527,
1220,
288,
75,
11,
393,
257,
289,
7012,
16,
66,
15558,
286,
642,
13,
22,
4808,
718,
13,
19,
4064,
837,
393,
257,
13669,
286,
2747,
72,
11064,
393,
22753,
24845,
15701,
287,
262,
1613,
718,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.