instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
Which lava domes erupted or had a growth episode during the Holocene period? | SELECT name_of_lava_dome FROM table_1081235_1 WHERE last_eruption_or_growth_episode = "Holocene" | [
13828,
28856,
2401,
274,
23681,
393,
550,
257,
3349,
4471,
1141,
262,
6479,
34973,
2278,
30,
46506,
1438,
62,
1659,
62,
75,
4170,
62,
67,
462,
16034,
3084,
62,
15711,
1065,
2327,
62,
16,
33411,
938,
62,
263,
84,
1159,
62,
273,
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
] | [
13828,
28856,
2401,
274,
23681,
393,
550,
257,
3349,
4471,
1141,
262,
6479,
34973,
2278,
30,
46506,
1438,
62,
1659,
62,
75,
4170,
62,
67,
462,
16034,
3084,
62,
15711,
1065,
2327,
62,
16,
33411,
938,
62,
263,
84,
1159,
62,
273,
62,
... |
How many episodes in history have a running time of 24:06? | SELECT COUNT(archive) FROM table_1498589_1 WHERE run_time = "24:06" | [
2437,
867,
8640,
287,
2106,
423,
257,
2491,
640,
286,
1987,
25,
3312,
30,
46506,
327,
28270,
7,
17474,
8,
16034,
3084,
62,
1415,
4089,
44169,
62,
16,
33411,
1057,
62,
2435,
796,
366,
1731,
25,
3312,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
287,
2106,
423,
257,
2491,
640,
286,
1987,
25,
3312,
30,
46506,
327,
28270,
7,
17474,
8,
16034,
3084,
62,
1415,
4089,
44169,
62,
16,
33411,
1057,
62,
2435,
796,
366,
1731,
25,
3312,
1
] |
What was the altitude of the event on 1962-07-09? | SELECT altitude__km_ FROM table_148578_1 WHERE date = "1962-07-09" | [
2061,
373,
262,
20334,
286,
262,
1785,
319,
20033,
12,
2998,
12,
2931,
30,
46506,
20334,
834,
13276,
62,
16034,
3084,
62,
18294,
38907,
62,
16,
33411,
3128,
796,
366,
1129,
5237,
12,
2998,
12,
2931,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20334,
286,
262,
1785,
319,
20033,
12,
2998,
12,
2931,
30,
46506,
20334,
834,
13276,
62,
16034,
3084,
62,
18294,
38907,
62,
16,
33411,
3128,
796,
366,
1129,
5237,
12,
2998,
12,
2931,
1
] |
Who is the champion of the title previously held by Lash? | SELECT "Champion(s)" FROM table_68148 WHERE "Previous champion(s)" = 'lash' | [
8241,
318,
262,
8783,
286,
262,
3670,
4271,
2714,
416,
47137,
30,
46506,
366,
1925,
6734,
7,
82,
16725,
16034,
3084,
62,
3104,
18294,
33411,
366,
21448,
8783,
7,
82,
16725,
796,
705,
17055,
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
] | [
8241,
318,
262,
8783,
286,
262,
3670,
4271,
2714,
416,
47137,
30,
46506,
366,
1925,
6734,
7,
82,
16725,
16034,
3084,
62,
3104,
18294,
33411,
366,
21448,
8783,
7,
82,
16725,
796,
705,
17055,
6
] |
what about a RENTAL CAR in DENVER | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'DENVER' AND ground_service.city_code = city.city_code AND ground_service.transport_type = 'RENTAL CAR' | [
10919,
546,
257,
371,
3525,
1847,
17368,
287,
37692,
28884,
36,
16779,
360,
8808,
1268,
4177,
2323,
62,
15271,
13,
7645,
634,
62,
4906,
16034,
1748,
11,
2323,
62,
15271,
33411,
1748,
13,
19205,
62,
3672,
796,
705,
41819,
5959,
6,
5357... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
546,
257,
371,
3525,
1847,
17368,
287,
37692,
28884,
36,
16779,
360,
8808,
1268,
4177,
2323,
62,
15271,
13,
7645,
634,
62,
4906,
16034,
1748,
11,
2323,
62,
15271,
33411,
1748,
13,
19205,
62,
3672,
796,
705,
41819,
5959,
6,
5357... |
What Round has the Track Winton? | SELECT round FROM table_name_30 WHERE track = "winton" | [
2061,
10485,
468,
262,
17762,
370,
2371,
30,
46506,
2835,
16034,
3084,
62,
3672,
62,
1270,
33411,
2610,
796,
366,
86,
2371,
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,
10485,
468,
262,
17762,
370,
2371,
30,
46506,
2835,
16034,
3084,
62,
3672,
62,
1270,
33411,
2610,
796,
366,
86,
2371,
1
] |
What is the engine configuration of the 1.2 mpi engine? | SELECT engine_configuration FROM table_name_80 WHERE engine_name = "1.2 mpi" | [
2061,
318,
262,
3113,
8398,
286,
262,
352,
13,
17,
285,
14415,
3113,
30,
46506,
3113,
62,
11250,
3924,
16034,
3084,
62,
3672,
62,
1795,
33411,
3113,
62,
3672,
796,
366,
16,
13,
17,
285,
14415,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3113,
8398,
286,
262,
352,
13,
17,
285,
14415,
3113,
30,
46506,
3113,
62,
11250,
3924,
16034,
3084,
62,
3672,
62,
1795,
33411,
3113,
62,
3672,
796,
366,
16,
13,
17,
285,
14415,
1
] |
With a Division II of Portsmouth, what is the Division IV? | SELECT division_iV FROM table_name_35 WHERE division_iII = portsmouth | [
3152,
257,
7458,
2873,
286,
48823,
11,
644,
318,
262,
7458,
8363,
30,
46506,
7297,
62,
72,
53,
16034,
3084,
62,
3672,
62,
2327,
33411,
7297,
62,
72,
3978,
796,
14090,
14775
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
3152,
257,
7458,
2873,
286,
48823,
11,
644,
318,
262,
7458,
8363,
30,
46506,
7297,
62,
72,
53,
16034,
3084,
62,
3672,
62,
2327,
33411,
7297,
62,
72,
3978,
796,
14090,
14775
] |
calculate the total amount of patient 1372's impact w/fiber intake until 03/26/2103. | 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 = 1372)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.labe... | [
9948,
3129,
378,
262,
2472,
2033,
286,
5827,
1511,
4761,
338,
2928,
266,
14,
69,
1856,
10337,
1566,
7643,
14,
2075,
14,
17,
15197,
13,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
79,
1133,
85,
658... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9948,
3129,
378,
262,
2472,
2033,
286,
5827,
1511,
4761,
338,
2928,
266,
14,
69,
1856,
10337,
1566,
7643,
14,
2075,
14,
17,
15197,
13,
46506,
35683,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
17287,
8,
16034,
287,
79,
1133,
85,
658... |
what's party with district being pennsylvania 21 | SELECT "Party" FROM table_18253 WHERE "District" = 'Pennsylvania 21' | [
10919,
338,
2151,
351,
4783,
852,
22429,
9270,
2310,
46506,
366,
33553,
1,
16034,
3084,
62,
1507,
28592,
33411,
366,
44857,
1,
796,
705,
39899,
9270,
2310,
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
] | [
10919,
338,
2151,
351,
4783,
852,
22429,
9270,
2310,
46506,
366,
33553,
1,
16034,
3084,
62,
1507,
28592,
33411,
366,
44857,
1,
796,
705,
39899,
9270,
2310,
6
] |
What shows as Content for the Television service of nickelodeon +1? | SELECT content FROM table_name_75 WHERE television_service = "nickelodeon +1" | [
2061,
2523,
355,
14041,
329,
262,
21516,
2139,
286,
30666,
1098,
261,
1343,
16,
30,
46506,
2695,
16034,
3084,
62,
3672,
62,
2425,
33411,
5581,
62,
15271,
796,
366,
6988,
7750,
1098,
261,
1343,
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
] | [
2061,
2523,
355,
14041,
329,
262,
21516,
2139,
286,
30666,
1098,
261,
1343,
16,
30,
46506,
2695,
16034,
3084,
62,
3672,
62,
2425,
33411,
5581,
62,
15271,
796,
366,
6988,
7750,
1098,
261,
1343,
16,
1
] |
What team finished 19th in serie a in 2011/2012? | SELECT "Team" FROM table_11524 WHERE "2011-12 season" = '19th in serie a' | [
2061,
1074,
5201,
678,
400,
287,
1055,
494,
257,
287,
2813,
14,
6999,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
15363,
1731,
33411,
366,
9804,
12,
1065,
1622,
1,
796,
705,
1129,
400,
287,
1055,
494,
257,
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,
1074,
5201,
678,
400,
287,
1055,
494,
257,
287,
2813,
14,
6999,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
15363,
1731,
33411,
366,
9804,
12,
1065,
1622,
1,
796,
705,
1129,
400,
287,
1055,
494,
257,
6
] |
What is the name of Eric C. Kerrigan 's Liquid Automatica paper ? | SELECT DISTINCT paper.title FROM author, keyphrase, paper, paperkeyphrase, venue, writes WHERE author.authorname LIKE 'Eric C. Kerrigan' AND keyphrase.keyphrasename = 'Liquid' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND venue.venueid = paper.venueid AND venue.venuename = 'Automatica' AND writes.authorid ... | [
2061,
318,
262,
1438,
286,
7651,
327,
13,
17337,
35631,
705,
82,
21020,
30199,
64,
3348,
5633,
46506,
360,
8808,
1268,
4177,
3348,
13,
7839,
16034,
1772,
11,
1994,
34675,
11,
3348,
11,
3348,
2539,
34675,
11,
14359,
11,
6797,
33411,
17... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
318,
262,
1438,
286,
7651,
327,
13,
17337,
35631,
705,
82,
21020,
30199,
64,
3348,
5633,
46506,
360,
8808,
1268,
4177,
3348,
13,
7839,
16034,
1772,
11,
1994,
34675,
11,
3348,
11,
3348,
2539,
34675,
11,
14359,
11,
6797,
33411,
17... |
What is the 2005 value with a q2 in 2011, a q1 in 2012, and 1r in 2003? | SELECT "2005" FROM table_50263 WHERE "2011" = 'q2' AND "2012" = 'q1' AND "2003" = '1r' | [
2061,
318,
262,
5075,
1988,
351,
257,
10662,
17,
287,
2813,
11,
257,
10662,
16,
287,
2321,
11,
290,
352,
81,
287,
5816,
30,
46506,
366,
14315,
1,
16034,
3084,
62,
1120,
29558,
33411,
366,
9804,
1,
796,
705,
80,
17,
6,
5357,
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
] | [
2061,
318,
262,
5075,
1988,
351,
257,
10662,
17,
287,
2813,
11,
257,
10662,
16,
287,
2321,
11,
290,
352,
81,
287,
5816,
30,
46506,
366,
14315,
1,
16034,
3084,
62,
1120,
29558,
33411,
366,
9804,
1,
796,
705,
80,
17,
6,
5357,
366,
... |
When was erskine college founded | SELECT "Founded" FROM table_16990 WHERE "Institution" = 'Erskine College' | [
2215,
373,
220,
364,
74,
500,
4152,
9393,
46506,
366,
37,
6302,
1,
16034,
3084,
62,
1433,
34155,
33411,
366,
6310,
2738,
1,
796,
705,
36,
3808,
74,
500,
5535,
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
] | [
2215,
373,
220,
364,
74,
500,
4152,
9393,
46506,
366,
37,
6302,
1,
16034,
3084,
62,
1433,
34155,
33411,
366,
6310,
2738,
1,
796,
705,
36,
3808,
74,
500,
5535,
6
] |
What are the payment dates for any payments that have an amount greater than 10 or were handled by a staff member with the first name Elsa, and count them by a bar chart | SELECT payment_date, COUNT(payment_date) FROM payment WHERE amount > 10 UNION SELECT T1.payment_date FROM payment AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Elsa' | [
2061,
389,
262,
6074,
9667,
329,
597,
7524,
326,
423,
281,
2033,
3744,
621,
838,
393,
547,
12118,
416,
257,
3085,
2888,
351,
262,
717,
1438,
19226,
11,
290,
954,
606,
416,
257,
2318,
8262,
46506,
6074,
62,
4475,
11,
327,
28270,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
389,
262,
6074,
9667,
329,
597,
7524,
326,
423,
281,
2033,
3744,
621,
838,
393,
547,
12118,
416,
257,
3085,
2888,
351,
262,
717,
1438,
19226,
11,
290,
954,
606,
416,
257,
2318,
8262,
46506,
6074,
62,
4475,
11,
327,
28270,
7,
... |
what percentile of a -monos is at 13.0 among a patient at the same age as patient 027-136480 in the current hospital encounter? | SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = '-monos' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '027-136480' AND patient.h... | [
10919,
37894,
286,
257,
532,
2144,
418,
318,
379,
1511,
13,
15,
1871,
257,
5827,
379,
262,
976,
2479,
355,
5827,
657,
1983,
12,
1485,
2414,
1795,
287,
262,
1459,
4436,
8791,
30,
46506,
360,
8808,
1268,
4177,
256,
16,
13,
66,
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,
1... | [
10919,
37894,
286,
257,
532,
2144,
418,
318,
379,
1511,
13,
15,
1871,
257,
5827,
379,
262,
976,
2479,
355,
5827,
657,
1983,
12,
1485,
2414,
1795,
287,
262,
1459,
4436,
8791,
30,
46506,
360,
8808,
1268,
4177,
256,
16,
13,
66,
16,
1... |
With an original artist names Bette Midler, what is the order number? | SELECT COUNT("Order #") FROM table_24429 WHERE "Original artist" = 'Bette Midler' | [
3152,
281,
2656,
6802,
3891,
5147,
660,
7215,
1754,
11,
644,
318,
262,
1502,
1271,
30,
46506,
327,
28270,
7203,
18743,
1303,
4943,
16034,
3084,
62,
1731,
11785,
33411,
366,
20556,
6802,
1,
796,
705,
33,
5857,
7215,
1754,
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
] | [
3152,
281,
2656,
6802,
3891,
5147,
660,
7215,
1754,
11,
644,
318,
262,
1502,
1271,
30,
46506,
327,
28270,
7203,
18743,
1303,
4943,
16034,
3084,
62,
1731,
11785,
33411,
366,
20556,
6802,
1,
796,
705,
33,
5857,
7215,
1754,
6
] |
Which loss has Attendance more than 47,712, an Opponent of white sox, and a Record of 57 36? | SELECT "Loss" FROM table_67772 WHERE "Attendance" > '47,712' AND "Opponent" = 'white sox' AND "Record" = '57–36' | [
13828,
2994,
468,
46502,
590,
517,
621,
6298,
11,
49517,
11,
281,
9385,
3471,
286,
2330,
523,
87,
11,
290,
257,
13266,
286,
7632,
4570,
30,
46506,
366,
43,
793,
1,
16034,
3084,
62,
3134,
43571,
33411,
366,
8086,
437,
590,
1,
1875,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2994,
468,
46502,
590,
517,
621,
6298,
11,
49517,
11,
281,
9385,
3471,
286,
2330,
523,
87,
11,
290,
257,
13266,
286,
7632,
4570,
30,
46506,
366,
43,
793,
1,
16034,
3084,
62,
3134,
43571,
33411,
366,
8086,
437,
590,
1,
1875,
... |
What is the lowest number played with 2 losses and more than 13 points? | SELECT MIN(played) FROM table_name_30 WHERE lost = 2 AND points > 13 | [
2061,
318,
262,
9016,
1271,
2826,
351,
362,
9089,
290,
517,
621,
1511,
2173,
30,
46506,
20625,
7,
21542,
8,
16034,
3084,
62,
3672,
62,
1270,
33411,
2626,
796,
362,
5357,
2173,
1875,
1511
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
1271,
2826,
351,
362,
9089,
290,
517,
621,
1511,
2173,
30,
46506,
20625,
7,
21542,
8,
16034,
3084,
62,
3672,
62,
1270,
33411,
2626,
796,
362,
5357,
2173,
1875,
1511
] |
What is the first name of each student who is not allergic to any type of food? Count them in a bar chart, sort from high to low by the x axis. | SELECT Fname, COUNT(Fname) FROM Student WHERE NOT StuID IN (SELECT T1.StuID FROM Has_Allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.AllergyType = "food") GROUP BY Fname ORDER BY Fname DESC | [
2061,
318,
262,
717,
1438,
286,
1123,
3710,
508,
318,
407,
31856,
284,
597,
2099,
286,
2057,
30,
2764,
606,
287,
257,
2318,
8262,
11,
3297,
422,
1029,
284,
1877,
416,
262,
2124,
16488,
13,
46506,
376,
3672,
11,
327,
28270,
7,
37,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
717,
1438,
286,
1123,
3710,
508,
318,
407,
31856,
284,
597,
2099,
286,
2057,
30,
2764,
606,
287,
257,
2318,
8262,
11,
3297,
422,
1029,
284,
1877,
416,
262,
2124,
16488,
13,
46506,
376,
3672,
11,
327,
28270,
7,
37,
... |
what is patient 033-22108's monthly average level of ionized calcium this year? | SELECT AVG(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-22108')) AND lab.labname = 'ionized calcium' AND DATETIME(lab.labresulttime, '... | [
10919,
318,
5827,
657,
2091,
12,
1828,
15711,
338,
9651,
2811,
1241,
286,
22088,
1143,
19700,
428,
614,
30,
46506,
35224,
7,
23912,
13,
23912,
20274,
8,
16034,
2248,
33411,
2248,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
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... | [
10919,
318,
5827,
657,
2091,
12,
1828,
15711,
338,
9651,
2811,
1241,
286,
22088,
1143,
19700,
428,
614,
30,
46506,
35224,
7,
23912,
13,
23912,
20274,
8,
16034,
2248,
33411,
2248,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,... |
Name the lost for % won of 55.37 | SELECT lost FROM table_name_46 WHERE _percentage_won = "55.37" | [
5376,
262,
2626,
329,
4064,
1839,
286,
5996,
13,
2718,
46506,
2626,
16034,
3084,
62,
3672,
62,
3510,
33411,
4808,
25067,
496,
62,
26502,
796,
366,
2816,
13,
2718,
1
] | [
1,
1,
1,
1,
1,
1,
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,
2626,
329,
4064,
1839,
286,
5996,
13,
2718,
46506,
2626,
16034,
3084,
62,
3672,
62,
3510,
33411,
4808,
25067,
496,
62,
26502,
796,
366,
2816,
13,
2718,
1
] |
heart rate > 100 / minute | SELECT * FROM table_test_10 WHERE heart_rate > 100 | [
11499,
2494,
1875,
1802,
1220,
5664,
46506,
1635,
16034,
3084,
62,
9288,
62,
940,
33411,
2612,
62,
4873,
1875,
1802
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
11499,
2494,
1875,
1802,
1220,
5664,
46506,
1635,
16034,
3084,
62,
9288,
62,
940,
33411,
2612,
62,
4873,
1875,
1802
] |
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of revenue , and group by attribute name, display in asc by the total number. | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T2.Revenue | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
1438,
290,
262,
2811,
286,
6426,
837,
290,
1448,
416,
11688,
1438,
11,
3359,
287,
10570,
416,
262,
2472,
1271,
13,
46506,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
1438,
290,
262,
2811,
286,
6426,
837,
290,
1448,
416,
11688,
1438,
11,
3359,
287,
10570,
416,
262,
2472,
1271,
13,
46506,
... |
What is the result F-A with an H/A of h and more than 31,727 attending? | SELECT result_f___a FROM table_name_11 WHERE h___a = "h" AND attendance > 31 OFFSET 727 | [
2061,
318,
262,
1255,
376,
12,
32,
351,
281,
367,
14,
32,
286,
289,
290,
517,
621,
3261,
11,
47760,
11969,
30,
46506,
1255,
62,
69,
17569,
64,
16034,
3084,
62,
3672,
62,
1157,
33411,
289,
17569,
64,
796,
366,
71,
1,
5357,
14858,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1255,
376,
12,
32,
351,
281,
367,
14,
32,
286,
289,
290,
517,
621,
3261,
11,
47760,
11969,
30,
46506,
1255,
62,
69,
17569,
64,
16034,
3084,
62,
3672,
62,
1157,
33411,
289,
17569,
64,
796,
366,
71,
1,
5357,
14858,
... |
What are names for top three branches with most number of membership? | SELECT name FROM branch ORDER BY membership_amount DESC LIMIT 3 | [
2061,
389,
3891,
329,
1353,
1115,
13737,
351,
749,
1271,
286,
9931,
30,
46506,
1438,
16034,
8478,
38678,
11050,
9931,
62,
17287,
22196,
34,
27564,
2043,
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
] | [
2061,
389,
3891,
329,
1353,
1115,
13737,
351,
749,
1271,
286,
9931,
30,
46506,
1438,
16034,
8478,
38678,
11050,
9931,
62,
17287,
22196,
34,
27564,
2043,
513
] |
What Name is administered by oral or iv, and is being investigated for thyroid imaging thyroid metastases imaging? | SELECT name FROM table_name_61 WHERE route_of_administration = "oral or iv" AND investigation = "thyroid imaging thyroid metastases imaging" | [
2061,
6530,
318,
17169,
416,
12886,
393,
21628,
11,
290,
318,
852,
12565,
329,
30523,
19560,
30523,
44678,
1386,
19560,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
5333,
33411,
6339,
62,
1659,
62,
39081,
1358,
796,
366,
6864,
393,
21628... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
6530,
318,
17169,
416,
12886,
393,
21628,
11,
290,
318,
852,
12565,
329,
30523,
19560,
30523,
44678,
1386,
19560,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
5333,
33411,
6339,
62,
1659,
62,
39081,
1358,
796,
366,
6864,
393,
21628... |
What year was the Competition of World Junior Championships with a 20th (qf) position? | SELECT AVG("Year") FROM table_51831 WHERE "Competition" = 'world junior championships' AND "Position" = '20th (qf)' | [
2061,
614,
373,
262,
27348,
286,
2159,
20000,
24782,
351,
257,
1160,
400,
357,
80,
69,
8,
2292,
30,
46506,
35224,
7203,
17688,
4943,
16034,
3084,
62,
44085,
3132,
33411,
366,
7293,
15620,
1,
796,
705,
6894,
13430,
27459,
6,
5357,
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
] | [
2061,
614,
373,
262,
27348,
286,
2159,
20000,
24782,
351,
257,
1160,
400,
357,
80,
69,
8,
2292,
30,
46506,
35224,
7203,
17688,
4943,
16034,
3084,
62,
44085,
3132,
33411,
366,
7293,
15620,
1,
796,
705,
6894,
13430,
27459,
6,
5357,
366,... |
How many points associated with a Best time of 01:46.367? | SELECT AVG("Points") FROM table_57101 WHERE "Best time" = '01:46.367' | [
2437,
867,
2173,
3917,
351,
257,
6705,
640,
286,
5534,
25,
3510,
13,
27824,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
3553,
8784,
33411,
366,
13014,
640,
1,
796,
705,
486,
25,
3510,
13,
27824,
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
] | [
2437,
867,
2173,
3917,
351,
257,
6705,
640,
286,
5534,
25,
3510,
13,
27824,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
3553,
8784,
33411,
366,
13014,
640,
1,
796,
705,
486,
25,
3510,
13,
27824,
6
] |
During the Apple Bowl having 0 championships, what was the established year? | SELECT MAX("Established") FROM table_36872 WHERE "Championships" = '0' AND "Venue" = 'apple bowl' | [
7191,
262,
4196,
8693,
1719,
657,
27459,
11,
644,
373,
262,
4920,
614,
30,
46506,
25882,
7203,
22362,
22555,
4943,
16034,
3084,
62,
27412,
4761,
33411,
366,
1925,
4350,
5748,
1,
796,
705,
15,
6,
5357,
366,
37522,
518,
1,
796,
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
] | [
7191,
262,
4196,
8693,
1719,
657,
27459,
11,
644,
373,
262,
4920,
614,
30,
46506,
25882,
7203,
22362,
22555,
4943,
16034,
3084,
62,
27412,
4761,
33411,
366,
1925,
4350,
5748,
1,
796,
705,
15,
6,
5357,
366,
37522,
518,
1,
796,
705,
1... |
count the number of patients who received a infectious disease consultation treatment within the same hospital visit after they were diagnosed with multiple myeloma during the last year. | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'multiple myeloma' AND DATETIME(diagnosis.diagnosistime, 'start of year') ... | [
9127,
262,
1271,
286,
3871,
508,
2722,
257,
25246,
4369,
18103,
3513,
1626,
262,
976,
4436,
3187,
706,
484,
547,
14641,
351,
3294,
616,
417,
6086,
1141,
262,
938,
614,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
403... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
508,
2722,
257,
25246,
4369,
18103,
3513,
1626,
262,
976,
4436,
3187,
706,
484,
547,
14641,
351,
3294,
616,
417,
6086,
1141,
262,
938,
614,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
403... |
When the second intermediate period of egypt is the ubaid period in mesopotamia how many early calcolithics are there? | SELECT COUNT("Early Chalcolithic") FROM table_26151 WHERE "Ubaid period in Mesopotamia" = 'Second Intermediate Period of Egypt' | [
2215,
262,
1218,
19898,
2278,
286,
304,
6022,
318,
262,
20967,
1698,
2278,
287,
18842,
43372,
49442,
703,
867,
1903,
2386,
4033,
342,
873,
389,
612,
30,
46506,
327,
28270,
7203,
20457,
30529,
4033,
342,
291,
4943,
16034,
3084,
62,
2075,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
1218,
19898,
2278,
286,
304,
6022,
318,
262,
20967,
1698,
2278,
287,
18842,
43372,
49442,
703,
867,
1903,
2386,
4033,
342,
873,
389,
612,
30,
46506,
327,
28270,
7203,
20457,
30529,
4033,
342,
291,
4943,
16034,
3084,
62,
2075,... |
Who was the opponent during the biggest defeat? | SELECT "Opponent" FROM table_17641 WHERE "Record" = 'Biggest defeat' | [
8241,
373,
262,
6125,
1141,
262,
4094,
7433,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
1558,
42759,
33411,
366,
23739,
1,
796,
705,
12804,
3495,
7433,
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,
6125,
1141,
262,
4094,
7433,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
1558,
42759,
33411,
366,
23739,
1,
796,
705,
12804,
3495,
7433,
6
] |
count how many patients have been released from the hospital until 2104. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL AND STRFTIME('%y', admissions.dischtime) <= '2104' | [
9127,
703,
867,
3871,
423,
587,
2716,
422,
262,
4436,
1566,
362,
13464,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
25349,
13,
32796,
62,
312,
8,
16034,
25349,
33411,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
5357,
19269,
979... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
703,
867,
3871,
423,
587,
2716,
422,
262,
4436,
1566,
362,
13464,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
25349,
13,
32796,
62,
312,
8,
16034,
25349,
33411,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
5357,
19269,
979... |
Find the id of the appointment with the most recent start date? | SELECT appointmentid FROM appointment ORDER BY start DESC LIMIT 1 | [
16742,
262,
4686,
286,
262,
12557,
351,
262,
749,
2274,
923,
3128,
30,
46506,
12557,
312,
16034,
12557,
38678,
11050,
923,
22196,
34,
27564,
2043,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
4686,
286,
262,
12557,
351,
262,
749,
2274,
923,
3128,
30,
46506,
12557,
312,
16034,
12557,
38678,
11050,
923,
22196,
34,
27564,
2043,
352
] |
Give me a histogram for what are the naems of all the projects, and how many scientists were assigned to each of them?, and sort by the Y from low to high. | SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project GROUP BY T1.Name ORDER BY COUNT(*) | [
23318,
502,
257,
1554,
21857,
329,
644,
389,
262,
12385,
5232,
286,
477,
262,
4493,
11,
290,
703,
867,
5519,
547,
8686,
284,
1123,
286,
606,
21747,
290,
3297,
416,
262,
575,
422,
1877,
284,
1029,
13,
46506,
6530,
11,
327,
28270,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
23318,
502,
257,
1554,
21857,
329,
644,
389,
262,
12385,
5232,
286,
477,
262,
4493,
11,
290,
703,
867,
5519,
547,
8686,
284,
1123,
286,
606,
21747,
290,
3297,
416,
262,
575,
422,
1877,
284,
1029,
13,
46506,
6530,
11,
327,
28270,
7,
... |
how many patients were diagnosed with heart valve transplant in 2103 they did not come to the hospital within 2 months? | 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 = 'heart valv... | [
4919,
867,
3871,
547,
14641,
351,
2612,
22580,
23319,
287,
362,
15197,
484,
750,
407,
1282,
284,
262,
4436,
1626,
362,
1933,
30,
46506,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
465... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
547,
14641,
351,
2612,
22580,
23319,
287,
362,
15197,
484,
750,
407,
1282,
284,
262,
4436,
1626,
362,
1933,
30,
46506,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
465... |
What is the lowest density of a town with a 13,708 2011 population census ? | SELECT MIN("Density") FROM table_37863 WHERE "Population 2011 census" = '13,708' | [
2061,
318,
262,
9016,
12109,
286,
257,
3240,
351,
257,
1511,
11,
32583,
2813,
3265,
21649,
5633,
46506,
20625,
7203,
35,
6377,
4943,
16034,
3084,
62,
2718,
4521,
18,
33411,
366,
45251,
2813,
21649,
1,
796,
705,
1485,
11,
32583,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
12109,
286,
257,
3240,
351,
257,
1511,
11,
32583,
2813,
3265,
21649,
5633,
46506,
20625,
7203,
35,
6377,
4943,
16034,
3084,
62,
2718,
4521,
18,
33411,
366,
45251,
2813,
21649,
1,
796,
705,
1485,
11,
32583,
6
] |
give me the number of patients with copd exacerbation primary disease who have been discharged to skilled nursing facility. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.diagnosis = "COPD EXACERBATION" | [
26535,
502,
262,
1271,
286,
3871,
351,
2243,
67,
22907,
341,
4165,
4369,
508,
423,
587,
26476,
284,
14297,
19167,
6841,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
6381... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
351,
2243,
67,
22907,
341,
4165,
4369,
508,
423,
587,
26476,
284,
14297,
19167,
6841,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
6381... |
For those employees who was hired before 2002-06-21, show me about the change of salary over hire_date in a line chart, and rank in descending by the x axis. | SELECT HIRE_DATE, SALARY FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE DESC | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
905,
502,
546,
262,
1487,
286,
9588,
625,
11078,
62,
4475,
287,
257,
1627,
8262,
11,
290,
4279,
287,
31491,
416,
262,
2124,
16488,
13,
46506,
36210,
2200,
62,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1487,
286,
9588,
625,
11078,
62,
4475,
287,
257,
1627,
8262,
11,
290,
4279,
287,
31491,
416,
262,
2124,
16488,
13,
46506,
36210,
2200,
62,
35,
... |
How many of the points difference lost equal 10? | SELECT "Points difference" FROM table_23887 WHERE "Lost" = '10' | [
2437,
867,
286,
262,
2173,
3580,
2626,
4961,
838,
30,
46506,
366,
40710,
3580,
1,
16034,
3084,
62,
1954,
46660,
33411,
366,
31042,
1,
796,
705,
940,
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
] | [
2437,
867,
286,
262,
2173,
3580,
2626,
4961,
838,
30,
46506,
366,
40710,
3580,
1,
16034,
3084,
62,
1954,
46660,
33411,
366,
31042,
1,
796,
705,
940,
6
] |
What's the result for the game held on December 27, 2004 with a week greater than 2? | SELECT "Result" FROM table_32707 WHERE "Week" > '2' AND "Date" = 'december 27, 2004' | [
2061,
338,
262,
1255,
329,
262,
983,
2714,
319,
3426,
2681,
11,
5472,
351,
257,
1285,
3744,
621,
362,
30,
46506,
366,
23004,
1,
16034,
3084,
62,
34159,
2998,
33411,
366,
20916,
1,
1875,
705,
17,
6,
5357,
366,
10430,
1,
796,
705,
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
] | [
2061,
338,
262,
1255,
329,
262,
983,
2714,
319,
3426,
2681,
11,
5472,
351,
257,
1285,
3744,
621,
362,
30,
46506,
366,
23004,
1,
16034,
3084,
62,
34159,
2998,
33411,
366,
20916,
1,
1875,
705,
17,
6,
5357,
366,
10430,
1,
796,
705,
2... |
A bar chart about the number of faults for different fault status of all the faults recoreded in the logs, sort by the Y-axis in desc. | SELECT fault_status, COUNT(fault_status) FROM Fault_Log AS T1 JOIN Fault_Log_Parts AS T2 ON T1.fault_log_entry_id = T2.fault_log_entry_id GROUP BY fault_status ORDER BY COUNT(fault_status) DESC | [
32,
2318,
8262,
546,
262,
1271,
286,
31025,
329,
1180,
8046,
3722,
286,
477,
262,
31025,
664,
1850,
276,
287,
262,
17259,
11,
3297,
416,
262,
575,
12,
22704,
287,
1715,
13,
46506,
8046,
62,
13376,
11,
327,
28270,
7,
69,
1721,
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... | [
32,
2318,
8262,
546,
262,
1271,
286,
31025,
329,
1180,
8046,
3722,
286,
477,
262,
31025,
664,
1850,
276,
287,
262,
17259,
11,
3297,
416,
262,
575,
12,
22704,
287,
1715,
13,
46506,
8046,
62,
13376,
11,
327,
28270,
7,
69,
1721,
62,
... |
what is marital status and death status of subject id 52118? | SELECT demographic.marital_status, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "52118" | [
10919,
318,
29555,
3722,
290,
1918,
3722,
286,
2426,
4686,
6740,
16817,
30,
46506,
16728,
13,
3876,
1287,
62,
13376,
11,
16728,
13,
1069,
5111,
62,
32109,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
4309,
16817,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
29555,
3722,
290,
1918,
3722,
286,
2426,
4686,
6740,
16817,
30,
46506,
16728,
13,
3876,
1287,
62,
13376,
11,
16728,
13,
1069,
5111,
62,
32109,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
4309,
16817,
1
] |
Prof. Jonathan Freedman has taught which courses ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = cour... | [
15404,
13,
11232,
38728,
805,
468,
7817,
543,
10902,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
15404,
13,
11232,
38728,
805,
468,
7817,
543,
10902,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
... |
get me the number of patients admitted before 2203 who had coronary artery primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE" AND demographic.admityear < "2203" | [
1136,
502,
262,
1271,
286,
3871,
6848,
878,
15629,
18,
508,
550,
37151,
37646,
4165,
4369,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5958,
796,
366,
44879,
134... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1136,
502,
262,
1271,
286,
3871,
6848,
878,
15629,
18,
508,
550,
37151,
37646,
4165,
4369,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5958,
796,
366,
44879,
134... |
When galaxy angel aa was the title was the us release date? | SELECT "US Release Date" FROM table_1628 WHERE "Title" = 'Galaxy Angel AA' | [
2215,
16161,
18304,
257,
64,
373,
262,
3670,
373,
262,
514,
2650,
3128,
30,
46506,
366,
2937,
13868,
7536,
1,
16034,
3084,
62,
1433,
2078,
33411,
366,
19160,
1,
796,
705,
26552,
6969,
3905,
15923,
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
] | [
2215,
16161,
18304,
257,
64,
373,
262,
3670,
373,
262,
514,
2650,
3128,
30,
46506,
366,
2937,
13868,
7536,
1,
16034,
3084,
62,
1433,
2078,
33411,
366,
19160,
1,
796,
705,
26552,
6969,
3905,
15923,
6
] |
what the was the final in which frank w. boykin was running | SELECT "Result" FROM table_18572 WHERE "Incumbent" = 'Frank W. Boykin' | [
10919,
262,
373,
262,
2457,
287,
543,
14346,
266,
13,
2933,
5116,
373,
2491,
46506,
366,
23004,
1,
16034,
3084,
62,
1507,
48724,
33411,
366,
25517,
2178,
298,
1,
796,
705,
17439,
370,
13,
6387,
5116,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
262,
373,
262,
2457,
287,
543,
14346,
266,
13,
2933,
5116,
373,
2491,
46506,
366,
23004,
1,
16034,
3084,
62,
1507,
48724,
33411,
366,
25517,
2178,
298,
1,
796,
705,
17439,
370,
13,
6387,
5116,
6
] |
How many electorates are there with Hedmark as a constituency? | SELECT COUNT("Electorate") FROM table_17862 WHERE "Constituency" = 'Hedmark' | [
2437,
867,
43191,
689,
389,
612,
351,
30920,
4102,
355,
257,
28280,
30,
46506,
327,
28270,
7203,
19453,
16262,
4943,
16034,
3084,
62,
1558,
4521,
17,
33411,
366,
34184,
34272,
1387,
1,
796,
705,
39,
276,
4102,
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
] | [
2437,
867,
43191,
689,
389,
612,
351,
30920,
4102,
355,
257,
28280,
30,
46506,
327,
28270,
7203,
19453,
16262,
4943,
16034,
3084,
62,
1558,
4521,
17,
33411,
366,
34184,
34272,
1387,
1,
796,
705,
39,
276,
4102,
6
] |
What is the main span in feet from a year of 2009 or more recent with a rank less than 94 and 1,310 main span metres? | SELECT main_span_feet FROM table_name_69 WHERE year_opened > 2009 AND rank < 94 AND main_span_metres = "1,310" | [
2061,
318,
262,
1388,
11506,
287,
3625,
422,
257,
614,
286,
3717,
393,
517,
2274,
351,
257,
4279,
1342,
621,
10048,
290,
352,
11,
26717,
1388,
11506,
18985,
30,
46506,
1388,
62,
12626,
62,
39690,
16034,
3084,
62,
3672,
62,
3388,
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... | [
2061,
318,
262,
1388,
11506,
287,
3625,
422,
257,
614,
286,
3717,
393,
517,
2274,
351,
257,
4279,
1342,
621,
10048,
290,
352,
11,
26717,
1388,
11506,
18985,
30,
46506,
1388,
62,
12626,
62,
39690,
16034,
3084,
62,
3672,
62,
3388,
33411... |
Name the drivetrain for 1ur-fse for usf41 | SELECT drivetrain FROM table_21530474_1 WHERE engine_code = "1UR-FSE" AND chassis_code = "USF41" | [
5376,
262,
3708,
27432,
329,
352,
333,
12,
69,
325,
329,
514,
69,
3901,
46506,
3708,
27432,
16034,
3084,
62,
23349,
1270,
38652,
62,
16,
33411,
3113,
62,
8189,
796,
366,
16,
4261,
12,
37,
5188,
1,
5357,
24587,
62,
8189,
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
] | [
5376,
262,
3708,
27432,
329,
352,
333,
12,
69,
325,
329,
514,
69,
3901,
46506,
3708,
27432,
16034,
3084,
62,
23349,
1270,
38652,
62,
16,
33411,
3113,
62,
8189,
796,
366,
16,
4261,
12,
37,
5188,
1,
5357,
24587,
62,
8189,
796,
366,
... |
Name the total number of date for 10 | SELECT COUNT(date) FROM table_2446333_2 WHERE round = 10 | [
5376,
262,
2472,
1271,
286,
3128,
329,
838,
46506,
327,
28270,
7,
4475,
8,
16034,
3084,
62,
1731,
3510,
20370,
62,
17,
33411,
2835,
796,
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
] | [
5376,
262,
2472,
1271,
286,
3128,
329,
838,
46506,
327,
28270,
7,
4475,
8,
16034,
3084,
62,
1731,
3510,
20370,
62,
17,
33411,
2835,
796,
838
] |
show me the last flight on wednesday from ATLANTA to DENVER | 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 ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND date_day.day_number = 23 AND date_day.month_number = 4 AND d... | [
12860,
502,
262,
938,
5474,
319,
29445,
3462,
422,
5161,
25697,
5603,
284,
37692,
28884,
36,
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,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12860,
502,
262,
938,
5474,
319,
29445,
3462,
422,
5161,
25697,
5603,
284,
37692,
28884,
36,
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,
1... |
How many states or District of Columbia have 65.4% overweight or obese adults? | SELECT COUNT("State and District of Columbia") FROM table_22733 WHERE "Overweight (incl. obese) adults" = '65.4%' | [
2437,
867,
2585,
393,
5665,
286,
9309,
423,
6135,
13,
19,
4,
22652,
393,
20779,
6490,
30,
46506,
327,
28270,
7203,
9012,
290,
5665,
286,
9309,
4943,
16034,
3084,
62,
24403,
2091,
33411,
366,
5886,
6551,
357,
259,
565,
13,
20779,
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
] | [
2437,
867,
2585,
393,
5665,
286,
9309,
423,
6135,
13,
19,
4,
22652,
393,
20779,
6490,
30,
46506,
327,
28270,
7203,
9012,
290,
5665,
286,
9309,
4943,
16034,
3084,
62,
24403,
2091,
33411,
366,
5886,
6551,
357,
259,
565,
13,
20779,
8,
... |
What is the city containing the KDKA-TV station? | SELECT city_of_license__market FROM table_name_61 WHERE station = "kdka-tv" | [
2061,
318,
262,
1748,
7268,
262,
43943,
25123,
12,
6849,
4429,
30,
46506,
1748,
62,
1659,
62,
43085,
834,
10728,
16034,
3084,
62,
3672,
62,
5333,
33411,
4429,
796,
366,
74,
67,
4914,
12,
14981,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1748,
7268,
262,
43943,
25123,
12,
6849,
4429,
30,
46506,
1748,
62,
1659,
62,
43085,
834,
10728,
16034,
3084,
62,
3672,
62,
5333,
33411,
4429,
796,
366,
74,
67,
4914,
12,
14981,
1
] |
Who was the home team when Manchester City was the away team? | SELECT "Home team" FROM table_47601 WHERE "Away team" = 'manchester city' | [
8241,
373,
262,
1363,
1074,
618,
9502,
2254,
373,
262,
1497,
1074,
30,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
35435,
486,
33411,
366,
32,
1014,
1074,
1,
796,
705,
805,
35983,
1748,
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
] | [
8241,
373,
262,
1363,
1074,
618,
9502,
2254,
373,
262,
1497,
1074,
30,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
35435,
486,
33411,
366,
32,
1014,
1074,
1,
796,
705,
805,
35983,
1748,
6
] |
What is the average of all Heats of competitors with a Time of 59.11 and a lane higher than 3? | SELECT AVG(heat) FROM table_name_43 WHERE time = "59.11" AND lane > 3 | [
2061,
318,
262,
2811,
286,
477,
679,
1381,
286,
13861,
351,
257,
3862,
286,
7863,
13,
1157,
290,
257,
11193,
2440,
621,
513,
30,
46506,
35224,
7,
25080,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
640,
796,
366,
3270,
13,
1157,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
477,
679,
1381,
286,
13861,
351,
257,
3862,
286,
7863,
13,
1157,
290,
257,
11193,
2440,
621,
513,
30,
46506,
35224,
7,
25080,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
640,
796,
366,
3270,
13,
1157,
1,
... |
What is the sum of completions that led to completion percentages of 65.4 and attempts under 451? | SELECT SUM("Comp.") FROM table_40631 WHERE "Comp%" = '65.4' AND "Att." < '451' | [
2061,
318,
262,
2160,
286,
1224,
45240,
326,
2957,
284,
11939,
28071,
286,
6135,
13,
19,
290,
6370,
739,
49356,
30,
46506,
35683,
7203,
7293,
19570,
16034,
3084,
62,
29703,
3132,
33411,
366,
7293,
39658,
796,
705,
2996,
13,
19,
6,
535... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1224,
45240,
326,
2957,
284,
11939,
28071,
286,
6135,
13,
19,
290,
6370,
739,
49356,
30,
46506,
35683,
7203,
7293,
19570,
16034,
3084,
62,
29703,
3132,
33411,
366,
7293,
39658,
796,
705,
2996,
13,
19,
6,
535... |
What is the average of the top-25 of those with less than 35 events in the Open Championship? | SELECT AVG(top_25) FROM table_name_32 WHERE events < 35 AND tournament = "the open championship" | [
2061,
318,
262,
2811,
286,
262,
1353,
12,
1495,
286,
883,
351,
1342,
621,
3439,
2995,
287,
262,
4946,
10749,
30,
46506,
35224,
7,
4852,
62,
1495,
8,
16034,
3084,
62,
3672,
62,
2624,
33411,
2995,
1279,
3439,
5357,
7756,
796,
366,
116... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
262,
1353,
12,
1495,
286,
883,
351,
1342,
621,
3439,
2995,
287,
262,
4946,
10749,
30,
46506,
35224,
7,
4852,
62,
1495,
8,
16034,
3084,
62,
3672,
62,
2624,
33411,
2995,
1279,
3439,
5357,
7756,
796,
366,
116... |
What is the date of game 23? | SELECT date FROM table_name_27 WHERE game = 23 | [
2061,
318,
262,
3128,
286,
983,
2242,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
1983,
33411,
983,
796,
2242
] | [
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,
983,
2242,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
1983,
33411,
983,
796,
2242
] |
What is the rank of Point Hyllie? | SELECT "Rank" FROM table_11546 WHERE "Name" = 'point hyllie' | [
2061,
318,
262,
4279,
286,
6252,
6707,
297,
494,
30,
46506,
366,
27520,
1,
16034,
3084,
62,
15363,
3510,
33411,
366,
5376,
1,
796,
705,
4122,
2537,
297,
494,
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,
4279,
286,
6252,
6707,
297,
494,
30,
46506,
366,
27520,
1,
16034,
3084,
62,
15363,
3510,
33411,
366,
5376,
1,
796,
705,
4122,
2537,
297,
494,
6
] |
What shows for Winners when it shows 3rd place of [[|]] (21 pts), and a Runner-up of united states (23 pts)? | SELECT "Winners" FROM table_69013 WHERE "3rd place" = '[[|]] (21 pts)' AND "Runner-up" = 'united states (23 pts)' | [
2061,
2523,
329,
42754,
618,
340,
2523,
513,
4372,
1295,
286,
16410,
91,
11907,
357,
2481,
43344,
828,
290,
257,
21529,
12,
929,
286,
16503,
2585,
357,
1954,
43344,
19427,
46506,
366,
16643,
2741,
1,
16034,
3084,
62,
3388,
30273,
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... | [
2061,
2523,
329,
42754,
618,
340,
2523,
513,
4372,
1295,
286,
16410,
91,
11907,
357,
2481,
43344,
828,
290,
257,
21529,
12,
929,
286,
16503,
2585,
357,
1954,
43344,
19427,
46506,
366,
16643,
2741,
1,
16034,
3084,
62,
3388,
30273,
33411,... |
Willy Sagnol with a type as career end had what has the transfer fee? | SELECT transfer_fee FROM table_name_34 WHERE type = "career end" AND name = "willy sagnol" | [
54,
6548,
311,
4660,
349,
351,
257,
2099,
355,
3451,
886,
550,
644,
468,
262,
4351,
6838,
30,
46506,
4351,
62,
39071,
16034,
3084,
62,
3672,
62,
2682,
33411,
2099,
796,
366,
6651,
263,
886,
1,
5357,
1438,
796,
366,
86,
6548,
264,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
54,
6548,
311,
4660,
349,
351,
257,
2099,
355,
3451,
886,
550,
644,
468,
262,
4351,
6838,
30,
46506,
4351,
62,
39071,
16034,
3084,
62,
3672,
62,
2682,
33411,
2099,
796,
366,
6651,
263,
886,
1,
5357,
1438,
796,
366,
86,
6548,
264,
... |
What is the inductioin for 1975 1976? | SELECT "Induction" FROM table_57942 WHERE "Years" = '1975–1976' | [
2061,
318,
262,
28948,
952,
259,
329,
15231,
15408,
30,
46506,
366,
5497,
8110,
1,
16034,
3084,
62,
41734,
3682,
33411,
366,
40630,
1,
796,
705,
38449,
1906,
38108,
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,
28948,
952,
259,
329,
15231,
15408,
30,
46506,
366,
5497,
8110,
1,
16034,
3084,
62,
41734,
3682,
33411,
366,
40630,
1,
796,
705,
38449,
1906,
38108,
6
] |
Who were the assistant and main principals of Kat Hughes? | SELECT Assistant AS principal__2013_2014_ FROM table_name_97 WHERE principal__2013_2014_ = "kat hughes" | [
8241,
547,
262,
8796,
290,
1388,
44998,
286,
8595,
19712,
30,
46506,
15286,
7054,
10033,
834,
6390,
62,
4967,
62,
16034,
3084,
62,
3672,
62,
5607,
33411,
10033,
834,
6390,
62,
4967,
62,
796,
366,
41826,
16225,
956,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
547,
262,
8796,
290,
1388,
44998,
286,
8595,
19712,
30,
46506,
15286,
7054,
10033,
834,
6390,
62,
4967,
62,
16034,
3084,
62,
3672,
62,
5607,
33411,
10033,
834,
6390,
62,
4967,
62,
796,
366,
41826,
16225,
956,
1
] |
mmse score of < 1 or > 12 . | SELECT * FROM table_train_86 WHERE mini_mental_state_examination_mmse < 1 OR mini_mental_state_examination_mmse > 12 | [
3020,
325,
4776,
286,
1279,
352,
393,
1875,
1105,
764,
46506,
1635,
16034,
3084,
62,
27432,
62,
4521,
33411,
9927,
62,
37098,
62,
5219,
62,
47779,
62,
3020,
325,
1279,
352,
6375,
9927,
62,
37098,
62,
5219,
62,
47779,
62,
3020,
325,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
3020,
325,
4776,
286,
1279,
352,
393,
1875,
1105,
764,
46506,
1635,
16034,
3084,
62,
27432,
62,
4521,
33411,
9927,
62,
37098,
62,
5219,
62,
47779,
62,
3020,
325,
1279,
352,
6375,
9927,
62,
37098,
62,
5219,
62,
47779,
62,
3020,
325,
... |
what are the four most commonly conducted specimen tests since 5 years ago? | SELECT t1.spec_type_desc FROM (SELECT microbiologyevents.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microbiologyevents WHERE DATETIME(microbiologyevents.charttime) >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY microbiologyevents.spec_type_desc) AS t1 WHERE t1.c1 <= 4 | [
10919,
389,
262,
1440,
749,
8811,
5952,
31674,
5254,
1201,
642,
812,
2084,
30,
46506,
256,
16,
13,
16684,
62,
4906,
62,
20147,
16034,
357,
46506,
24559,
1435,
31534,
13,
16684,
62,
4906,
62,
20147,
11,
360,
24290,
62,
49,
15154,
3419,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1440,
749,
8811,
5952,
31674,
5254,
1201,
642,
812,
2084,
30,
46506,
256,
16,
13,
16684,
62,
4906,
62,
20147,
16034,
357,
46506,
24559,
1435,
31534,
13,
16684,
62,
4906,
62,
20147,
11,
360,
24290,
62,
49,
15154,
3419,... |
What is the origin of the one with a number larger than 161? | SELECT origin FROM table_name_66 WHERE number > 161 | [
2061,
318,
262,
8159,
286,
262,
530,
351,
257,
1271,
4025,
621,
27829,
30,
46506,
8159,
16034,
3084,
62,
3672,
62,
2791,
33411,
1271,
1875,
27829
] | [
1,
1,
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,
8159,
286,
262,
530,
351,
257,
1271,
4025,
621,
27829,
30,
46506,
8159,
16034,
3084,
62,
3672,
62,
2791,
33411,
1271,
1875,
27829
] |
What was the attendance for the week before 10 with a result of L 12-15 | SELECT attendance FROM table_name_86 WHERE week < 10 AND result = "l 12-15" | [
2061,
373,
262,
14858,
329,
262,
1285,
878,
838,
351,
257,
1255,
286,
406,
1105,
12,
1314,
46506,
14858,
16034,
3084,
62,
3672,
62,
4521,
33411,
1285,
1279,
838,
5357,
1255,
796,
366,
75,
1105,
12,
1314,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14858,
329,
262,
1285,
878,
838,
351,
257,
1255,
286,
406,
1105,
12,
1314,
46506,
14858,
16034,
3084,
62,
3672,
62,
4521,
33411,
1285,
1279,
838,
5357,
1255,
796,
366,
75,
1105,
12,
1314,
1
] |
For those employees who did not have any job in the past, show me about the correlation between employee_id and manager_id in a scatter chart. | SELECT EMPLOYEE_ID, MANAGER_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
905,
502,
546,
262,
16096,
1022,
6538,
62,
312,
290,
4706,
62,
312,
287,
257,
41058,
8262,
13,
46506,
17228,
6489,
21414,
6500,
62,
2389,
11,
17254,
4760,
1137,
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... | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
905,
502,
546,
262,
16096,
1022,
6538,
62,
312,
290,
4706,
62,
312,
287,
257,
41058,
8262,
13,
46506,
17228,
6489,
21414,
6500,
62,
2389,
11,
17254,
4760,
1137,
62,... |
What is the position for the years 1998-99 | SELECT position FROM table_11545282_11 WHERE years_for_jazz = "1998-99" | [
2061,
318,
262,
2292,
329,
262,
812,
7795,
12,
2079,
46506,
2292,
16034,
3084,
62,
15363,
2231,
32568,
62,
1157,
33411,
812,
62,
1640,
62,
73,
8101,
796,
366,
21113,
12,
2079,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2292,
329,
262,
812,
7795,
12,
2079,
46506,
2292,
16034,
3084,
62,
15363,
2231,
32568,
62,
1157,
33411,
812,
62,
1640,
62,
73,
8101,
796,
366,
21113,
12,
2079,
1
] |
Answers by the given user with the given phrase in the title (case, accent insensitive). | SELECT a.Id AS "post_link", a.Score, q.Tags FROM Posts AS a INNER JOIN Posts AS q ON a.ParentId = q.Id WHERE (a.OwnerUserId = '##userid?25510##') AND (q.Title LIKE '%##word?urgent##%' COLLATE Latin1_General_CI_AI) ORDER BY a.Id | [
2025,
37848,
416,
262,
1813,
2836,
351,
262,
1813,
9546,
287,
262,
3670,
357,
7442,
11,
18702,
41246,
737,
46506,
257,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
257,
13,
26595,
11,
10662,
13,
36142,
16034,
12043,
7054,
257,
3268,
214... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2025,
37848,
416,
262,
1813,
2836,
351,
262,
1813,
9546,
287,
262,
3670,
357,
7442,
11,
18702,
41246,
737,
46506,
257,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
257,
13,
26595,
11,
10662,
13,
36142,
16034,
12043,
7054,
257,
3268,
214... |
What's the points for count for the club with 41 points and 8 won games? | SELECT points_for FROM table_12886178_4 WHERE points = "41" AND won = "8" | [
2061,
338,
262,
2173,
329,
954,
329,
262,
3430,
351,
6073,
2173,
290,
807,
1839,
1830,
30,
46506,
2173,
62,
1640,
16034,
3084,
62,
1065,
44980,
23188,
62,
19,
33411,
2173,
796,
366,
3901,
1,
5357,
1839,
796,
366,
23,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2173,
329,
954,
329,
262,
3430,
351,
6073,
2173,
290,
807,
1839,
1830,
30,
46506,
2173,
62,
1640,
16034,
3084,
62,
1065,
44980,
23188,
62,
19,
33411,
2173,
796,
366,
3901,
1,
5357,
1839,
796,
366,
23,
1
] |
For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, list from low to high by the y axis please. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(DEPARTMENT_ID) | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
5011,
62,
312,
9874,
11078,
62,
4475,
416,
640,
11,
1351,
422,
1877,
284,
1029,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
5011,
62,
312,
9874,
11078,
62,
4475,
416,
640,
11,
1351,
422,
1877,
284,
1029,
... |
What's listed for the Turnout % with a Ngilu of 3,429? | SELECT turnout__percentage FROM table_name_11 WHERE ngilu = "3,429" | [
2061,
338,
5610,
329,
262,
6756,
448,
4064,
351,
257,
34786,
346,
84,
286,
513,
11,
11785,
30,
46506,
21666,
834,
25067,
496,
16034,
3084,
62,
3672,
62,
1157,
33411,
23370,
346,
84,
796,
366,
18,
11,
11785,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5610,
329,
262,
6756,
448,
4064,
351,
257,
34786,
346,
84,
286,
513,
11,
11785,
30,
46506,
21666,
834,
25067,
496,
16034,
3084,
62,
3672,
62,
1157,
33411,
23370,
346,
84,
796,
366,
18,
11,
11785,
1
] |
Active people from Greece before 2019. | SELECT COUNT(*) FROM Users WHERE LastAccessDate >= '2018-01-01' AND CreationDate <= '2019-01-01' AND Location LIKE '%greece%' COLLATE Latin1_General_CI_AI_KS_WS | [
13739,
661,
422,
10315,
878,
13130,
13,
46506,
327,
28270,
7,
28104,
16034,
18987,
33411,
4586,
15457,
10430,
18189,
705,
7908,
12,
486,
12,
486,
6,
5357,
21582,
10430,
19841,
705,
23344,
12,
486,
12,
486,
6,
5357,
13397,
34178,
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
] | [
13739,
661,
422,
10315,
878,
13130,
13,
46506,
327,
28270,
7,
28104,
16034,
18987,
33411,
4586,
15457,
10430,
18189,
705,
7908,
12,
486,
12,
486,
6,
5357,
21582,
10430,
19841,
705,
23344,
12,
486,
12,
486,
6,
5357,
13397,
34178,
705,
... |
How many points in 87/88 for racing de c rdoba? | SELECT 1987 AS _88 FROM table_14460085_3 WHERE team = "Racing de Córdoba" | [
2437,
867,
2173,
287,
10083,
14,
3459,
329,
11717,
390,
269,
374,
67,
19981,
30,
46506,
12923,
7054,
4808,
3459,
16034,
3084,
62,
1415,
3510,
405,
5332,
62,
18,
33411,
1074,
796,
366,
49,
4092,
390,
327,
10205,
4372,
19981,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
2173,
287,
10083,
14,
3459,
329,
11717,
390,
269,
374,
67,
19981,
30,
46506,
12923,
7054,
4808,
3459,
16034,
3084,
62,
1415,
3510,
405,
5332,
62,
18,
33411,
1074,
796,
366,
49,
4092,
390,
327,
10205,
4372,
19981,
1
] |
Which Artist has a Percentage of 11.32%? | SELECT artist FROM table_name_79 WHERE percentage = "11.32%" | [
13828,
18902,
468,
257,
36013,
286,
1367,
13,
2624,
4,
30,
46506,
6802,
16034,
3084,
62,
3672,
62,
3720,
33411,
5873,
796,
366,
1157,
13,
2624,
39658
] | [
1,
1,
1,
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,
18902,
468,
257,
36013,
286,
1367,
13,
2624,
4,
30,
46506,
6802,
16034,
3084,
62,
3672,
62,
3720,
33411,
5873,
796,
366,
1157,
13,
2624,
39658
] |
What are the names of wines made from red grapes? | SELECT DISTINCT T2.name FROM grapes AS T1 JOIN wine AS T2 ON T1.grape = T2.grape WHERE T1.color = "Red" | [
2061,
389,
262,
3891,
286,
30680,
925,
422,
2266,
36656,
30,
46506,
360,
8808,
1268,
4177,
309,
17,
13,
3672,
16034,
36656,
7054,
309,
16,
32357,
1268,
8237,
7054,
309,
17,
6177,
309,
16,
13,
70,
13484,
796,
309,
17,
13,
70,
13484,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3891,
286,
30680,
925,
422,
2266,
36656,
30,
46506,
360,
8808,
1268,
4177,
309,
17,
13,
3672,
16034,
36656,
7054,
309,
16,
32357,
1268,
8237,
7054,
309,
17,
6177,
309,
16,
13,
70,
13484,
796,
309,
17,
13,
70,
13484,
... |
Show names of technicians who are assigned to repair machines with value point more than 70. | SELECT T3.Name FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.machine_id = T2.machine_id JOIN technician AS T3 ON T1.technician_ID = T3.technician_ID WHERE T2.value_points > 70 | [
15307,
3891,
286,
33519,
508,
389,
8686,
284,
9185,
8217,
351,
1988,
966,
517,
621,
4317,
13,
46506,
309,
18,
13,
5376,
16034,
9185,
62,
562,
16747,
7054,
309,
16,
32357,
1268,
4572,
7054,
309,
17,
6177,
309,
16,
13,
30243,
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... | [
15307,
3891,
286,
33519,
508,
389,
8686,
284,
9185,
8217,
351,
1988,
966,
517,
621,
4317,
13,
46506,
309,
18,
13,
5376,
16034,
9185,
62,
562,
16747,
7054,
309,
16,
32357,
1268,
4572,
7054,
309,
17,
6177,
309,
16,
13,
30243,
62,
312,... |
give the number of black /african american patients whose hospital stay is more than 1 day. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.days_stay > "1" | [
26535,
262,
1271,
286,
2042,
1220,
1878,
37189,
45630,
272,
3871,
3025,
4436,
2652,
318,
517,
621,
352,
1110,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
79... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
262,
1271,
286,
2042,
1220,
1878,
37189,
45630,
272,
3871,
3025,
4436,
2652,
318,
517,
621,
352,
1110,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
79... |
what was patient 31854's first intake time a day before. | SELECT inputevents_cv.charttime 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 = 31854)) AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 's... | [
10919,
373,
5827,
39320,
4051,
338,
717,
10337,
640,
257,
1110,
878,
13,
46506,
287,
79,
1133,
85,
658,
62,
33967,
13,
40926,
2435,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
33967,
13,
291,
436,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
373,
5827,
39320,
4051,
338,
717,
10337,
640,
257,
1110,
878,
13,
46506,
287,
79,
1133,
85,
658,
62,
33967,
13,
40926,
2435,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
33967,
13,
291,
436,
... |
What opponnent has a record of 82-68? | SELECT "Opponent" FROM table_75161 WHERE "Record" = '82-68' | [
2061,
1269,
261,
77,
298,
468,
257,
1700,
286,
9415,
12,
3104,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2425,
25948,
33411,
366,
23739,
1,
796,
705,
6469,
12,
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,
1,
1,
1,
1
] | [
2061,
1269,
261,
77,
298,
468,
257,
1700,
286,
9415,
12,
3104,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2425,
25948,
33411,
366,
23739,
1,
796,
705,
6469,
12,
3104,
6
] |
Reputa o ganha com o altera o do 'valor' do voto por pergunta. | SELECT U.Id, DisplayName, SUM(P.Score * 5) FROM Users AS U INNER JOIN Posts AS P ON U.Id = P.OwnerUserId WHERE PostTypeId = 1 AND DeletionDate IS NULL GROUP BY U.Id, U.DisplayName ORDER BY SUM(Score * 5) DESC | [
6207,
29822,
267,
308,
272,
3099,
401,
267,
8343,
64,
267,
466,
705,
2100,
273,
6,
466,
1993,
78,
16964,
583,
70,
44424,
13,
46506,
471,
13,
7390,
11,
16531,
5376,
11,
35683,
7,
47,
13,
26595,
1635,
642,
8,
16034,
18987,
7054,
471... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
6207,
29822,
267,
308,
272,
3099,
401,
267,
8343,
64,
267,
466,
705,
2100,
273,
6,
466,
1993,
78,
16964,
583,
70,
44424,
13,
46506,
471,
13,
7390,
11,
16531,
5376,
11,
35683,
7,
47,
13,
26595,
1635,
642,
8,
16034,
18987,
7054,
471... |
what is the time/retired when the laps is 55? | SELECT "Time/Retired" FROM table_48560 WHERE "Laps" = '55' | [
10919,
318,
262,
640,
14,
1186,
1202,
618,
262,
24590,
318,
5996,
30,
46506,
366,
7575,
14,
9781,
1202,
1,
16034,
3084,
62,
32642,
1899,
33411,
366,
43,
1686,
1,
796,
705,
2816,
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
] | [
10919,
318,
262,
640,
14,
1186,
1202,
618,
262,
24590,
318,
5996,
30,
46506,
366,
7575,
14,
9781,
1202,
1,
16034,
3084,
62,
32642,
1899,
33411,
366,
43,
1686,
1,
796,
705,
2816,
6
] |
Which Position in 2000 has a Capacity larger than 10,080, and a Venue of central, rechytsa? | SELECT "Position in 2000" FROM table_36240 WHERE "Capacity" > '10,080' AND "Venue" = 'central, rechytsa' | [
13828,
23158,
287,
4751,
468,
257,
29765,
4025,
621,
838,
11,
33057,
11,
290,
257,
9932,
518,
286,
4318,
11,
302,
29658,
912,
64,
30,
46506,
366,
26545,
287,
4751,
1,
16034,
3084,
62,
2623,
16102,
33411,
366,
15610,
4355,
1,
1875,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
23158,
287,
4751,
468,
257,
29765,
4025,
621,
838,
11,
33057,
11,
290,
257,
9932,
518,
286,
4318,
11,
302,
29658,
912,
64,
30,
46506,
366,
26545,
287,
4751,
1,
16034,
3084,
62,
2623,
16102,
33411,
366,
15610,
4355,
1,
1875,
7... |
what is the highest amount of silver when gold is 0 for soviet union? | SELECT MAX(silver) FROM table_name_50 WHERE gold = 0 AND nation = "soviet union" | [
10919,
318,
262,
4511,
2033,
286,
8465,
618,
3869,
318,
657,
329,
523,
85,
1155,
6441,
30,
46506,
25882,
7,
40503,
8,
16034,
3084,
62,
3672,
62,
1120,
33411,
3869,
796,
657,
5357,
3277,
796,
366,
47272,
1155,
6441,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
4511,
2033,
286,
8465,
618,
3869,
318,
657,
329,
523,
85,
1155,
6441,
30,
46506,
25882,
7,
40503,
8,
16034,
3084,
62,
3672,
62,
1120,
33411,
3869,
796,
657,
5357,
3277,
796,
366,
47272,
1155,
6441,
1
] |
What was the latest year that the Atlanta Braves won and the St. Louis Cardinals lost? | SELECT MAX("Year") FROM table_40440 WHERE "Winning team" = 'atlanta braves' AND "Losing team" = 'st. louis cardinals' | [
2061,
373,
262,
3452,
614,
326,
262,
9371,
29374,
1839,
290,
262,
520,
13,
5593,
18071,
2626,
30,
46506,
25882,
7203,
17688,
4943,
16034,
3084,
62,
1821,
25644,
33411,
366,
16643,
768,
1074,
1,
796,
705,
25864,
4910,
8290,
1158,
6,
53... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3452,
614,
326,
262,
9371,
29374,
1839,
290,
262,
520,
13,
5593,
18071,
2626,
30,
46506,
25882,
7203,
17688,
4943,
16034,
3084,
62,
1821,
25644,
33411,
366,
16643,
768,
1074,
1,
796,
705,
25864,
4910,
8290,
1158,
6,
53... |
What is the highest pick number for a pick drafted by the denver broncos? | SELECT MAX("Pick") FROM table_66421 WHERE "Team" = 'denver broncos' | [
2061,
318,
262,
4511,
2298,
1271,
329,
257,
2298,
15937,
416,
262,
2853,
332,
18443,
6966,
30,
46506,
25882,
7203,
31686,
4943,
16034,
3084,
62,
21,
2414,
2481,
33411,
366,
15592,
1,
796,
705,
6559,
332,
18443,
6966,
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,
262,
4511,
2298,
1271,
329,
257,
2298,
15937,
416,
262,
2853,
332,
18443,
6966,
30,
46506,
25882,
7203,
31686,
4943,
16034,
3084,
62,
21,
2414,
2481,
33411,
366,
15592,
1,
796,
705,
6559,
332,
18443,
6966,
6
] |
Who is the team at vikings stadium? | SELECT "Team" FROM table_53073 WHERE "Stadium" = 'vikings stadium' | [
8241,
318,
262,
1074,
379,
410,
1134,
654,
10308,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
38612,
4790,
33411,
366,
1273,
6271,
1,
796,
705,
28930,
654,
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
] | [
8241,
318,
262,
1074,
379,
410,
1134,
654,
10308,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
38612,
4790,
33411,
366,
1273,
6271,
1,
796,
705,
28930,
654,
10308,
6
] |
how much is the abscess drainage procedure? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'treatment' AND cost.eventid IN (SELECT treatment.treatmentid FROM treatment WHERE treatment.treatmentname = 'abscess drainage procedure') | [
4919,
881,
318,
262,
2352,
919,
37664,
8771,
30,
46506,
360,
8808,
1268,
4177,
1575,
13,
15805,
16034,
1575,
33411,
1575,
13,
15596,
4906,
796,
705,
42487,
6,
5357,
1575,
13,
15596,
312,
3268,
357,
46506,
3513,
13,
42487,
312,
16034,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2352,
919,
37664,
8771,
30,
46506,
360,
8808,
1268,
4177,
1575,
13,
15805,
16034,
1575,
33411,
1575,
13,
15596,
4906,
796,
705,
42487,
6,
5357,
1575,
13,
15596,
312,
3268,
357,
46506,
3513,
13,
42487,
312,
16034,
... |
What was the distance when the weight was 6.11? | SELECT "Distance" FROM table_76970 WHERE "Weight" = '6.11' | [
2061,
373,
262,
5253,
618,
262,
3463,
373,
718,
13,
1157,
30,
46506,
366,
45767,
1,
16034,
3084,
62,
22,
3388,
2154,
33411,
366,
25844,
1,
796,
705,
21,
13,
1157,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
5253,
618,
262,
3463,
373,
718,
13,
1157,
30,
46506,
366,
45767,
1,
16034,
3084,
62,
22,
3388,
2154,
33411,
366,
25844,
1,
796,
705,
21,
13,
1157,
6
] |
Who is the edition/publisher for Xavier Herbert? | SELECT edition_publisher FROM table_name_9 WHERE author = "xavier herbert" | [
8241,
318,
262,
8313,
14,
12984,
8191,
329,
30825,
28648,
30,
46506,
8313,
62,
12984,
8191,
16034,
3084,
62,
3672,
62,
24,
33411,
1772,
796,
366,
87,
19492,
607,
4835,
1
] | [
1,
1,
1,
1,
1,
1,
1,
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,
8313,
14,
12984,
8191,
329,
30825,
28648,
30,
46506,
8313,
62,
12984,
8191,
16034,
3084,
62,
3672,
62,
24,
33411,
1772,
796,
366,
87,
19492,
607,
4835,
1
] |
among patients diagnosed with malnutrition mod degree, show me the three year survival probability. | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t2.charttime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id... | [
35131,
3871,
14641,
351,
49290,
953,
4922,
11,
905,
502,
262,
1115,
614,
9441,
12867,
13,
46506,
35683,
7,
34,
11159,
42099,
3871,
13,
67,
375,
3180,
15697,
42243,
352,
42099,
19269,
9792,
12789,
10786,
4,
73,
3256,
3871,
13,
67,
375,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
35131,
3871,
14641,
351,
49290,
953,
4922,
11,
905,
502,
262,
1115,
614,
9441,
12867,
13,
46506,
35683,
7,
34,
11159,
42099,
3871,
13,
67,
375,
3180,
15697,
42243,
352,
42099,
19269,
9792,
12789,
10786,
4,
73,
3256,
3871,
13,
67,
375,... |
fly from DALLAS to BALTIMORE | 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 = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMO... | [
12254,
422,
360,
7036,
1921,
284,
347,
31429,
3955,
1581,
33635,
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,
15490,
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... | [
12254,
422,
360,
7036,
1921,
284,
347,
31429,
3955,
1581,
33635,
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,
15490,
62,
... |
What is the latest year? | SELECT MAX(year) FROM table_2199290_1 | [
2061,
318,
262,
3452,
614,
30,
46506,
25882,
7,
1941,
8,
16034,
3084,
62,
17,
19104,
24369,
62,
16
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
3452,
614,
30,
46506,
25882,
7,
1941,
8,
16034,
3084,
62,
17,
19104,
24369,
62,
16
] |
Which Player has a Position of number 8, and a Club/province of scarlets? | SELECT player FROM table_name_92 WHERE position = "number 8" AND club_province = "scarlets" | [
13828,
7853,
468,
257,
23158,
286,
1271,
807,
11,
290,
257,
6289,
14,
15234,
924,
286,
10153,
5289,
30,
46506,
2137,
16034,
3084,
62,
3672,
62,
5892,
33411,
2292,
796,
366,
17618,
807,
1,
5357,
3430,
62,
15234,
924,
796,
366,
13034,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7853,
468,
257,
23158,
286,
1271,
807,
11,
290,
257,
6289,
14,
15234,
924,
286,
10153,
5289,
30,
46506,
2137,
16034,
3084,
62,
3672,
62,
5892,
33411,
2292,
796,
366,
17618,
807,
1,
5357,
3430,
62,
15234,
924,
796,
366,
13034,
... |
Who wrote the episode with the production code of 3t7255? | SELECT written_by FROM table_27116696_1 WHERE production_code = "3T7255" | [
8241,
2630,
262,
4471,
351,
262,
3227,
2438,
286,
513,
83,
22,
13381,
30,
46506,
3194,
62,
1525,
16034,
3084,
62,
1983,
1157,
2791,
4846,
62,
16,
33411,
3227,
62,
8189,
796,
366,
18,
51,
22,
13381,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2630,
262,
4471,
351,
262,
3227,
2438,
286,
513,
83,
22,
13381,
30,
46506,
3194,
62,
1525,
16034,
3084,
62,
1983,
1157,
2791,
4846,
62,
16,
33411,
3227,
62,
8189,
796,
366,
18,
51,
22,
13381,
1
] |
what is the last performance of leon varkas category:articles with hcards | SELECT "Last performance" FROM table_22884 WHERE "Performer" = 'Leon Varkas Category:Articles with hCards' | [
10919,
318,
262,
938,
2854,
286,
443,
261,
410,
668,
292,
6536,
25,
26845,
351,
289,
27761,
46506,
366,
5956,
2854,
1,
16034,
3084,
62,
1828,
40353,
33411,
366,
5990,
16354,
1,
796,
705,
36185,
569,
668,
292,
21743,
25,
8001,
2983,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
938,
2854,
286,
443,
261,
410,
668,
292,
6536,
25,
26845,
351,
289,
27761,
46506,
366,
5956,
2854,
1,
16034,
3084,
62,
1828,
40353,
33411,
366,
5990,
16354,
1,
796,
705,
36185,
569,
668,
292,
21743,
25,
8001,
2983,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.