instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
What is the lowest total that has barbados as the nation with a bronze greater than 0? | SELECT MIN(total) FROM table_name_96 WHERE nation = "barbados" AND bronze > 0 | [
2061,
318,
262,
9016,
2472,
326,
468,
2318,
14774,
418,
355,
262,
3277,
351,
257,
22101,
3744,
621,
657,
30,
46506,
20625,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
4846,
33411,
3277,
796,
366,
5657,
14774,
418,
1,
5357,
22101,
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
] | [
2061,
318,
262,
9016,
2472,
326,
468,
2318,
14774,
418,
355,
262,
3277,
351,
257,
22101,
3744,
621,
657,
30,
46506,
20625,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
4846,
33411,
3277,
796,
366,
5657,
14774,
418,
1,
5357,
22101,
1875,
... |
Name the scores for chris ramsey and carol vorderman | SELECT scores FROM table_23292220_17 WHERE seans_team = "Chris Ramsey and Carol Vorderman" | [
5376,
262,
8198,
329,
442,
2442,
15770,
4397,
290,
1097,
349,
410,
585,
2224,
46506,
8198,
16034,
3084,
62,
1954,
1959,
1828,
1238,
62,
1558,
33411,
384,
504,
62,
15097,
796,
366,
15645,
30552,
290,
5074,
569,
585,
2224,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8198,
329,
442,
2442,
15770,
4397,
290,
1097,
349,
410,
585,
2224,
46506,
8198,
16034,
3084,
62,
1954,
1959,
1828,
1238,
62,
1558,
33411,
384,
504,
62,
15097,
796,
366,
15645,
30552,
290,
5074,
569,
585,
2224,
1
] |
How many different isolation numbers does the peak with an elevation of 2782.622 = 9,127feet 2782m have? | SELECT COUNT("Isolation") FROM table_23187 WHERE "Elevation" = '2782.622 = 9,127feet 2782m' | [
2437,
867,
1180,
15133,
3146,
857,
262,
9103,
351,
281,
22910,
286,
2681,
6469,
13,
21,
1828,
796,
860,
11,
16799,
39690,
2681,
6469,
76,
423,
30,
46506,
327,
28270,
7203,
3792,
21417,
4943,
16034,
3084,
62,
1954,
23451,
33411,
366,
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
] | [
2437,
867,
1180,
15133,
3146,
857,
262,
9103,
351,
281,
22910,
286,
2681,
6469,
13,
21,
1828,
796,
860,
11,
16799,
39690,
2681,
6469,
76,
423,
30,
46506,
327,
28270,
7203,
3792,
21417,
4943,
16034,
3084,
62,
1954,
23451,
33411,
366,
3... |
What's the FA Cup that has a league less than 1? | SELECT SUM(fa_cup) FROM table_name_3 WHERE league < 1 | [
2061,
338,
262,
9677,
5454,
326,
468,
257,
4652,
1342,
621,
352,
30,
46506,
35683,
7,
13331,
62,
25244,
8,
16034,
3084,
62,
3672,
62,
18,
33411,
4652,
1279,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
338,
262,
9677,
5454,
326,
468,
257,
4652,
1342,
621,
352,
30,
46506,
35683,
7,
13331,
62,
25244,
8,
16034,
3084,
62,
3672,
62,
18,
33411,
4652,
1279,
352
] |
Can you tell me the Home or the Away that has the Shirt Number larger than 18? | SELECT home_or_away FROM table_name_25 WHERE shirt_number > 18 | [
6090,
345,
1560,
502,
262,
5995,
393,
262,
21986,
326,
468,
262,
45180,
7913,
4025,
621,
1248,
30,
46506,
1363,
62,
273,
62,
8272,
16034,
3084,
62,
3672,
62,
1495,
33411,
10147,
62,
17618,
1875,
1248
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
6090,
345,
1560,
502,
262,
5995,
393,
262,
21986,
326,
468,
262,
45180,
7913,
4025,
621,
1248,
30,
46506,
1363,
62,
273,
62,
8272,
16034,
3084,
62,
3672,
62,
1495,
33411,
10147,
62,
17618,
1875,
1248
] |
How many weeks has 54,187 as the attendance? | SELECT COUNT("Week") FROM table_66423 WHERE "Attendance" = '54,187' | [
2437,
867,
2745,
468,
7175,
11,
23451,
355,
262,
14858,
30,
46506,
327,
28270,
7203,
20916,
4943,
16034,
3084,
62,
21,
2414,
1954,
33411,
366,
8086,
437,
590,
1,
796,
705,
4051,
11,
23451,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
2745,
468,
7175,
11,
23451,
355,
262,
14858,
30,
46506,
327,
28270,
7203,
20916,
4943,
16034,
3084,
62,
21,
2414,
1954,
33411,
366,
8086,
437,
590,
1,
796,
705,
4051,
11,
23451,
6
] |
when was patient 027-155345's first discharge from the hospital since 5 years ago? | SELECT patient.hospitaldischargetime FROM patient WHERE patient.uniquepid = '027-155345' AND DATETIME(patient.hospitaldischargetime) >= DATETIME(CURRENT_TIME(), '-5 year') ORDER BY patient.hospitaldischargetime LIMIT 1 | [
12518,
373,
5827,
657,
1983,
12,
1314,
4310,
2231,
338,
717,
17655,
422,
262,
4436,
1201,
642,
812,
2084,
30,
46506,
5827,
13,
49257,
6381,
354,
7641,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44698,
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,
1,
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,
5827,
657,
1983,
12,
1314,
4310,
2231,
338,
717,
17655,
422,
262,
4436,
1201,
642,
812,
2084,
30,
46506,
5827,
13,
49257,
6381,
354,
7641,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44698,
12,
1314,
... |
Name the last title for cuenca | SELECT "Last title" FROM table_73674 WHERE "Home city" = 'Cuenca' | [
5376,
262,
938,
3670,
329,
18912,
268,
6888,
46506,
366,
5956,
3670,
1,
16034,
3084,
62,
49150,
4524,
33411,
366,
16060,
1748,
1,
796,
705,
46141,
268,
6888,
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
] | [
5376,
262,
938,
3670,
329,
18912,
268,
6888,
46506,
366,
5956,
3670,
1,
16034,
3084,
62,
49150,
4524,
33411,
366,
16060,
1748,
1,
796,
705,
46141,
268,
6888,
6
] |
What was the Loser of the Game with a Result of 35-27? | SELECT loser FROM table_name_32 WHERE result = "35-27" | [
2061,
373,
262,
5401,
263,
286,
262,
3776,
351,
257,
25414,
286,
3439,
12,
1983,
30,
46506,
30256,
16034,
3084,
62,
3672,
62,
2624,
33411,
1255,
796,
366,
2327,
12,
1983,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
5401,
263,
286,
262,
3776,
351,
257,
25414,
286,
3439,
12,
1983,
30,
46506,
30256,
16034,
3084,
62,
3672,
62,
2624,
33411,
1255,
796,
366,
2327,
12,
1983,
1
] |
Which Week has a Result of l 13-16 and an Opponent of at buffalo bills? | SELECT AVG(week) FROM table_name_27 WHERE result = "l 13-16" AND opponent = "at buffalo bills" | [
13828,
6119,
468,
257,
25414,
286,
300,
1511,
12,
1433,
290,
281,
9385,
3471,
286,
379,
45019,
9024,
30,
46506,
35224,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
1983,
33411,
1255,
796,
366,
75,
1511,
12,
1433,
1,
5357,
6125,
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
] | [
13828,
6119,
468,
257,
25414,
286,
300,
1511,
12,
1433,
290,
281,
9385,
3471,
286,
379,
45019,
9024,
30,
46506,
35224,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
1983,
33411,
1255,
796,
366,
75,
1511,
12,
1433,
1,
5357,
6125,
796,
366,... |
Who is the winning party/coalition name in election year 1980? | SELECT winning_party_coalition FROM table_23512864_4 WHERE election_year = 1980 | [
8241,
318,
262,
5442,
2151,
14,
25140,
653,
1438,
287,
3071,
614,
7169,
30,
46506,
5442,
62,
10608,
62,
25140,
653,
16034,
3084,
62,
22370,
12762,
2414,
62,
19,
33411,
3071,
62,
1941,
796,
7169
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5442,
2151,
14,
25140,
653,
1438,
287,
3071,
614,
7169,
30,
46506,
5442,
62,
10608,
62,
25140,
653,
16034,
3084,
62,
22370,
12762,
2414,
62,
19,
33411,
3071,
62,
1941,
796,
7169
] |
7 credits are for which upper-level classes ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.credits = 7 AND program_course.category LIKE 'ULCS' | [
22,
10824,
389,
329,
543,
6727,
12,
5715,
6097,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
3268,
21479,
32357,
1268,
1430,
62,
17319,
6177,
1430,
62,
17319,
13,
173... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
22,
10824,
389,
329,
543,
6727,
12,
5715,
6097,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
3268,
21479,
32357,
1268,
1430,
62,
17319,
6177,
1430,
62,
17319,
13,
173... |
What place is there a change of -19.3? | SELECT COUNT(name) FROM table_2500440_1 WHERE change___percentage_ = "-19.3" | [
2061,
1295,
318,
612,
257,
1487,
286,
532,
1129,
13,
18,
30,
46506,
327,
28270,
7,
3672,
8,
16034,
3084,
62,
1495,
22914,
1821,
62,
16,
33411,
1487,
17569,
25067,
496,
62,
796,
27444,
1129,
13,
18,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1295,
318,
612,
257,
1487,
286,
532,
1129,
13,
18,
30,
46506,
327,
28270,
7,
3672,
8,
16034,
3084,
62,
1495,
22914,
1821,
62,
16,
33411,
1487,
17569,
25067,
496,
62,
796,
27444,
1129,
13,
18,
1
] |
What is the name of the role that has a Title of Salud, Dinero y Amor and antagonist in the notes field? | SELECT "Role" FROM table_71665 WHERE "Notes" = 'antagonist' AND "Title" = 'salud, dinero y amor' | [
2061,
318,
262,
1438,
286,
262,
2597,
326,
468,
257,
11851,
286,
4849,
463,
11,
23448,
3529,
331,
1703,
273,
290,
34667,
287,
262,
4710,
2214,
30,
46506,
366,
47445,
1,
16034,
3084,
62,
22,
1433,
2996,
33411,
366,
16130,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1438,
286,
262,
2597,
326,
468,
257,
11851,
286,
4849,
463,
11,
23448,
3529,
331,
1703,
273,
290,
34667,
287,
262,
4710,
2214,
30,
46506,
366,
47445,
1,
16034,
3084,
62,
22,
1433,
2996,
33411,
366,
16130,
1,
796,
705... |
what's the country with health being 91.4 | SELECT country FROM table_145439_1 WHERE health = "91.4" | [
10919,
338,
262,
1499,
351,
1535,
852,
10495,
13,
19,
46506,
1499,
16034,
3084,
62,
1415,
4051,
2670,
62,
16,
33411,
1535,
796,
366,
6420,
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
] | [
10919,
338,
262,
1499,
351,
1535,
852,
10495,
13,
19,
46506,
1499,
16034,
3084,
62,
1415,
4051,
2670,
62,
16,
33411,
1535,
796,
366,
6420,
13,
19,
1
] |
Give the number of patients whose insurance is private and have procedure long title intravenous infusion of clofarabine. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Intravenous infusion of clofarabine" | [
23318,
262,
1271,
286,
3871,
3025,
5096,
318,
2839,
290,
423,
8771,
890,
3670,
45840,
516,
35547,
286,
537,
1659,
283,
397,
500,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
1271,
286,
3871,
3025,
5096,
318,
2839,
290,
423,
8771,
890,
3670,
45840,
516,
35547,
286,
537,
1659,
283,
397,
500,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
... |
Which team uses the kitmaker Saller and has Krombacher as their shirt sponsor? | SELECT "Team" FROM table_50357 WHERE "Kitmaker" = 'saller' AND "Shirt sponsor" = 'krombacher' | [
13828,
1074,
3544,
262,
6220,
10297,
311,
439,
263,
290,
468,
509,
398,
65,
3493,
355,
511,
10147,
17487,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
1120,
27277,
33411,
366,
20827,
10297,
1,
796,
705,
82,
439,
263,
6,
5357,
366,
248... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1074,
3544,
262,
6220,
10297,
311,
439,
263,
290,
468,
509,
398,
65,
3493,
355,
511,
10147,
17487,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
1120,
27277,
33411,
366,
20827,
10297,
1,
796,
705,
82,
439,
263,
6,
5357,
366,
248... |
What were the points for that had a game where there was 678 against? | SELECT points_for FROM table_name_78 WHERE points_against = "678" | [
2061,
547,
262,
2173,
329,
326,
550,
257,
983,
810,
612,
373,
718,
3695,
1028,
30,
46506,
2173,
62,
1640,
16034,
3084,
62,
3672,
62,
3695,
33411,
2173,
62,
32826,
796,
366,
30924,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
547,
262,
2173,
329,
326,
550,
257,
983,
810,
612,
373,
718,
3695,
1028,
30,
46506,
2173,
62,
1640,
16034,
3084,
62,
3672,
62,
3695,
33411,
2173,
62,
32826,
796,
366,
30924,
1
] |
please list all of the flights leaving ATLANTA heading to BALTIMORE after 2000 wednesday and before 900 thursday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((date_day.day_number = 24 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time... | [
29688,
1351,
477,
286,
262,
13956,
4305,
5161,
25697,
5603,
9087,
284,
347,
31429,
3955,
6965,
706,
4751,
29445,
3462,
290,
878,
15897,
294,
3479,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
316... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
262,
13956,
4305,
5161,
25697,
5603,
9087,
284,
347,
31429,
3955,
6965,
706,
4751,
29445,
3462,
290,
878,
15897,
294,
3479,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
316... |
when 0 100km/h (60mph) is 5.8 seconds (5.5), what is the engine? | SELECT "Engine" FROM table_27082 WHERE "0\u2013100km/h (60mph)" = '5.8 seconds (5.5)' | [
12518,
657,
1802,
13276,
14,
71,
357,
1899,
23335,
8,
318,
642,
13,
23,
4201,
357,
20,
13,
20,
828,
644,
318,
262,
3113,
30,
46506,
366,
13798,
1,
16034,
3084,
62,
1983,
2919,
17,
33411,
366,
15,
59,
84,
6390,
3064,
13276,
14,
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
] | [
12518,
657,
1802,
13276,
14,
71,
357,
1899,
23335,
8,
318,
642,
13,
23,
4201,
357,
20,
13,
20,
828,
644,
318,
262,
3113,
30,
46506,
366,
13798,
1,
16034,
3084,
62,
1983,
2919,
17,
33411,
366,
15,
59,
84,
6390,
3064,
13276,
14,
7... |
Which courses can I take which provide 13 credits ? | SELECT DISTINCT name, number FROM course WHERE credits = 13 AND department = 'EECS' | [
13828,
10902,
460,
314,
1011,
543,
2148,
1511,
10824,
5633,
46506,
360,
8808,
1268,
4177,
1438,
11,
1271,
16034,
1781,
33411,
10824,
796,
1511,
5357,
5011,
796,
705,
36,
2943,
50,
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
] | [
13828,
10902,
460,
314,
1011,
543,
2148,
1511,
10824,
5633,
46506,
360,
8808,
1268,
4177,
1438,
11,
1271,
16034,
1781,
33411,
10824,
796,
1511,
5357,
5011,
796,
705,
36,
2943,
50,
6
] |
What are the lot details of lots associated with transactions whose share count is bigger than 100 and whose type code is 'PUR'? | SELECT T1.lot_details FROM lots AS T1 JOIN transactions_lots AS T2 ON T1.lot_id = T2.transaction_id JOIN transactions AS T3 ON T2.transaction_id = T3.transaction_id WHERE T3.share_count > 100 AND T3.transaction_type_code = "PUR" | [
2061,
389,
262,
1256,
3307,
286,
6041,
3917,
351,
8945,
3025,
2648,
954,
318,
5749,
621,
1802,
290,
3025,
2099,
2438,
318,
705,
47,
4261,
30960,
46506,
309,
16,
13,
26487,
62,
36604,
16034,
6041,
7054,
309,
16,
32357,
1268,
8945,
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,
389,
262,
1256,
3307,
286,
6041,
3917,
351,
8945,
3025,
2648,
954,
318,
5749,
621,
1802,
290,
3025,
2099,
2438,
318,
705,
47,
4261,
30960,
46506,
309,
16,
13,
26487,
62,
36604,
16034,
6041,
7054,
309,
16,
32357,
1268,
8945,
62,
... |
After 10:00 , are there any sections for CLCIV 327 ? | SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.start_time > '10:00' AND course.course_id = course_offering.course_id AND course.department = 'CLCIV' AND course.number = 327 AND semester.semester = 'WN' AND... | [
3260,
838,
25,
405,
837,
389,
612,
597,
9004,
329,
327,
5639,
3824,
36203,
5633,
46506,
360,
8808,
1268,
4177,
1781,
62,
2364,
1586,
13,
437,
62,
2435,
11,
1781,
62,
2364,
1586,
13,
5458,
62,
17618,
11,
1781,
62,
2364,
1586,
13,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3260,
838,
25,
405,
837,
389,
612,
597,
9004,
329,
327,
5639,
3824,
36203,
5633,
46506,
360,
8808,
1268,
4177,
1781,
62,
2364,
1586,
13,
437,
62,
2435,
11,
1781,
62,
2364,
1586,
13,
5458,
62,
17618,
11,
1781,
62,
2364,
1586,
13,
9... |
For players with fewer than 41 goals for CA Osasuna and averages under 1.06, what is the average number of matches? | SELECT AVG("Matches") FROM table_52972 WHERE "Goals" < '41' AND "Team" = 'ca osasuna' AND "Average" < '1.06' | [
1890,
1938,
351,
7380,
621,
6073,
4661,
329,
7257,
8834,
292,
9613,
290,
25694,
739,
352,
13,
3312,
11,
644,
318,
262,
2811,
1271,
286,
7466,
30,
46506,
35224,
7203,
19044,
2052,
4943,
16034,
3084,
62,
49721,
4761,
33411,
366,
5247,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
1938,
351,
7380,
621,
6073,
4661,
329,
7257,
8834,
292,
9613,
290,
25694,
739,
352,
13,
3312,
11,
644,
318,
262,
2811,
1271,
286,
7466,
30,
46506,
35224,
7203,
19044,
2052,
4943,
16034,
3084,
62,
49721,
4761,
33411,
366,
5247,
8... |
Find the total rating ratio for each channel owner. Show a pie chart. | SELECT Owner, SUM(Rating_in_percent) FROM channel GROUP BY Owner | [
16742,
262,
2472,
7955,
8064,
329,
1123,
6518,
4870,
13,
5438,
257,
2508,
8262,
13,
46506,
23853,
11,
35683,
7,
29321,
62,
259,
62,
25067,
8,
16034,
6518,
44441,
11050,
23853
] | [
1,
1,
1,
1,
1,
1,
1,
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,
2472,
7955,
8064,
329,
1123,
6518,
4870,
13,
5438,
257,
2508,
8262,
13,
46506,
23853,
11,
35683,
7,
29321,
62,
259,
62,
25067,
8,
16034,
6518,
44441,
11050,
23853
] |
What is the lowest number of students at the community college? | SELECT MIN(founded) FROM table_name_8 WHERE affiliation = "community college" | [
2061,
318,
262,
9016,
1271,
286,
2444,
379,
262,
2055,
4152,
30,
46506,
20625,
7,
27060,
8,
16034,
3084,
62,
3672,
62,
23,
33411,
26218,
796,
366,
28158,
4152,
1
] | [
1,
1,
1,
1,
1,
1,
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,
286,
2444,
379,
262,
2055,
4152,
30,
46506,
20625,
7,
27060,
8,
16034,
3084,
62,
3672,
62,
23,
33411,
26218,
796,
366,
28158,
4152,
1
] |
What is the largest number for earnings for tom watson when ranked more than 2? | SELECT MAX("Earnings ( $ )") FROM table_37717 WHERE "Player" = 'tom watson' AND "Rank" > '2' | [
2061,
318,
262,
4387,
1271,
329,
12042,
329,
16667,
266,
13506,
618,
10307,
517,
621,
362,
30,
46506,
25882,
7203,
49725,
654,
357,
720,
1267,
4943,
16034,
3084,
62,
26514,
1558,
33411,
366,
14140,
1,
796,
705,
39532,
266,
13506,
6,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4387,
1271,
329,
12042,
329,
16667,
266,
13506,
618,
10307,
517,
621,
362,
30,
46506,
25882,
7203,
49725,
654,
357,
720,
1267,
4943,
16034,
3084,
62,
26514,
1558,
33411,
366,
14140,
1,
796,
705,
39532,
266,
13506,
6,
5... |
List the status shared by more than two roller coaster. | SELECT status FROM roller_coaster GROUP BY status HAVING COUNT(*) > 2 | [
8053,
262,
3722,
4888,
416,
517,
621,
734,
24471,
42450,
13,
46506,
3722,
16034,
24471,
62,
1073,
1603,
44441,
11050,
3722,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
362
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8053,
262,
3722,
4888,
416,
517,
621,
734,
24471,
42450,
13,
46506,
3722,
16034,
24471,
62,
1073,
1603,
44441,
11050,
3722,
367,
10116,
2751,
327,
28270,
7,
28104,
1875,
362
] |
how many days have pass since the last time patient 55360 stayed in ward 7 in the current hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 55360 AND admissions.dischtime IS NULL)) AND transfers.... | [
4919,
867,
1528,
423,
1208,
1201,
262,
938,
640,
5827,
642,
4310,
1899,
9658,
287,
15305,
767,
287,
262,
1459,
4436,
3187,
30,
46506,
352,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
532,
19269,
97... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1528,
423,
1208,
1201,
262,
938,
640,
5827,
642,
4310,
1899,
9658,
287,
15305,
767,
287,
262,
1459,
4436,
3187,
30,
46506,
352,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
532,
19269,
97... |
list the nonstop flights on wednesday june second from MIAMI to BALTIMORE arriving in BALTIMORE between 1115 and 1245pm | 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 ((((flight.arrival_time <= 1245 AND flight.arrival_time >= 1115) AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1... | [
4868,
262,
1729,
11338,
13956,
319,
29445,
3462,
474,
1726,
1218,
422,
15789,
43870,
284,
347,
31429,
3955,
6965,
14820,
287,
347,
31429,
3955,
6965,
1022,
13374,
20,
290,
1105,
2231,
4426,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
1729,
11338,
13956,
319,
29445,
3462,
474,
1726,
1218,
422,
15789,
43870,
284,
347,
31429,
3955,
6965,
14820,
287,
347,
31429,
3955,
6965,
1022,
13374,
20,
290,
1105,
2231,
4426,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
... |
vote to close by off-topic>other. | SELECT * FROM Votes WHERE VoteTypeId = 6 AND CreationDate >= '2014-08-01 00:00:00' | [
27257,
284,
1969,
416,
572,
12,
26652,
29,
847,
13,
46506,
1635,
16034,
39584,
33411,
19175,
6030,
7390,
796,
718,
5357,
21582,
10430,
18189,
705,
4967,
12,
2919,
12,
486,
3571,
25,
405,
25,
405,
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
] | [
27257,
284,
1969,
416,
572,
12,
26652,
29,
847,
13,
46506,
1635,
16034,
39584,
33411,
19175,
6030,
7390,
796,
718,
5357,
21582,
10430,
18189,
705,
4967,
12,
2919,
12,
486,
3571,
25,
405,
25,
405,
6
] |
Name the candidate first elected in 1942 | SELECT candidates FROM table_1341897_23 WHERE first_elected = 1942 | [
5376,
262,
4540,
717,
7018,
287,
22458,
46506,
5871,
16034,
3084,
62,
19880,
1507,
5607,
62,
1954,
33411,
717,
62,
28604,
796,
22458
] | [
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,
4540,
717,
7018,
287,
22458,
46506,
5871,
16034,
3084,
62,
19880,
1507,
5607,
62,
1954,
33411,
717,
62,
28604,
796,
22458
] |
Who received the bronze in 2011? | SELECT "Bronze" FROM table_66566 WHERE "Year" = '2011' | [
8241,
2722,
262,
22101,
287,
2813,
30,
46506,
366,
18760,
2736,
1,
16034,
3084,
62,
36879,
2791,
33411,
366,
17688,
1,
796,
705,
9804,
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
] | [
8241,
2722,
262,
22101,
287,
2813,
30,
46506,
366,
18760,
2736,
1,
16034,
3084,
62,
36879,
2791,
33411,
366,
17688,
1,
796,
705,
9804,
6
] |
Show me about the distribution of ACC_Road and the sum of Team_ID , and group by attribute ACC_Road in a bar chart, and sort Y in descending order. | SELECT ACC_Road, SUM(Team_ID) FROM basketball_match GROUP BY ACC_Road ORDER BY SUM(Team_ID) DESC | [
15307,
502,
546,
262,
6082,
286,
15859,
62,
29197,
290,
262,
2160,
286,
4816,
62,
2389,
837,
290,
1448,
416,
11688,
15859,
62,
29197,
287,
257,
2318,
8262,
11,
290,
3297,
575,
287,
31491,
1502,
13,
46506,
15859,
62,
29197,
11,
35683,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
502,
546,
262,
6082,
286,
15859,
62,
29197,
290,
262,
2160,
286,
4816,
62,
2389,
837,
290,
1448,
416,
11688,
15859,
62,
29197,
287,
257,
2318,
8262,
11,
290,
3297,
575,
287,
31491,
1502,
13,
46506,
15859,
62,
29197,
11,
35683,
... |
What competition is at 23:00 cet? | SELECT "Competition" FROM table_60754 WHERE "Time" = '23:00 cet' | [
2061,
5449,
318,
379,
2242,
25,
405,
269,
316,
30,
46506,
366,
7293,
15620,
1,
16034,
3084,
62,
1899,
41874,
33411,
366,
7575,
1,
796,
705,
1954,
25,
405,
269,
316,
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,
5449,
318,
379,
2242,
25,
405,
269,
316,
30,
46506,
366,
7293,
15620,
1,
16034,
3084,
62,
1899,
41874,
33411,
366,
7575,
1,
796,
705,
1954,
25,
405,
269,
316,
6
] |
What team was the away team when the tie no is 40? | SELECT "Away team" FROM table_48962 WHERE "Tie no" = '40' | [
2061,
1074,
373,
262,
1497,
1074,
618,
262,
9839,
645,
318,
2319,
30,
46506,
366,
32,
1014,
1074,
1,
16034,
3084,
62,
2780,
4846,
17,
33411,
366,
51,
494,
645,
1,
796,
705,
1821,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1074,
373,
262,
1497,
1074,
618,
262,
9839,
645,
318,
2319,
30,
46506,
366,
32,
1014,
1074,
1,
16034,
3084,
62,
2780,
4846,
17,
33411,
366,
51,
494,
645,
1,
796,
705,
1821,
6
] |
What is the low grid for gerhard berger for laps over 56? | SELECT MIN(grid) FROM table_name_18 WHERE driver = "gerhard berger" AND laps > 56 | [
2061,
318,
262,
1877,
10706,
329,
27602,
10424,
18157,
1362,
329,
24590,
625,
7265,
30,
46506,
20625,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
1507,
33411,
4639,
796,
366,
1362,
10424,
18157,
1362,
1,
5357,
24590,
1875,
7265
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1877,
10706,
329,
27602,
10424,
18157,
1362,
329,
24590,
625,
7265,
30,
46506,
20625,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
1507,
33411,
4639,
796,
366,
1362,
10424,
18157,
1362,
1,
5357,
24590,
1875,
7265
] |
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, and order from high to low by the x axis please. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
1502,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
1502,... |
How many games have a November of 10? | SELECT COUNT(game) FROM table_name_10 WHERE november = 10 | [
2437,
867,
1830,
423,
257,
3389,
286,
838,
30,
46506,
327,
28270,
7,
6057,
8,
16034,
3084,
62,
3672,
62,
940,
33411,
645,
303,
1916,
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,
1
] | [
2437,
867,
1830,
423,
257,
3389,
286,
838,
30,
46506,
327,
28270,
7,
6057,
8,
16034,
3084,
62,
3672,
62,
940,
33411,
645,
303,
1916,
796,
838
] |
What are the number of the dates in which the mean sea level pressure was between 303 and 31?, and could you show total number in ascending order? | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 ORDER BY COUNT(date) | [
2061,
389,
262,
1271,
286,
262,
9667,
287,
543,
262,
1612,
5417,
1241,
3833,
373,
1022,
30727,
290,
3261,
21747,
290,
714,
345,
905,
2472,
1271,
287,
41988,
1502,
30,
46506,
3128,
11,
327,
28270,
7,
4475,
8,
16034,
6193,
33411,
1612,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
286,
262,
9667,
287,
543,
262,
1612,
5417,
1241,
3833,
373,
1022,
30727,
290,
3261,
21747,
290,
714,
345,
905,
2472,
1271,
287,
41988,
1502,
30,
46506,
3128,
11,
327,
28270,
7,
4475,
8,
16034,
6193,
33411,
1612,
... |
All possible Location entries for Brazil ('%Bra%'). | SELECT DISTINCT Location FROM Users WHERE Location LIKE '%Bra%' | [
3237,
1744,
13397,
12784,
329,
7595,
19203,
4,
42333,
4,
27691,
46506,
360,
8808,
1268,
4177,
13397,
16034,
18987,
33411,
13397,
34178,
705,
4,
42333,
4,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
3237,
1744,
13397,
12784,
329,
7595,
19203,
4,
42333,
4,
27691,
46506,
360,
8808,
1268,
4177,
13397,
16034,
18987,
33411,
13397,
34178,
705,
4,
42333,
4,
6
] |
Name the athlete for bulgaria with rank less than 22 | SELECT athlete FROM table_name_46 WHERE rank < 22 AND nation = "bulgaria" | [
5376,
262,
16076,
329,
4807,
4563,
544,
351,
4279,
1342,
621,
2534,
46506,
16076,
16034,
3084,
62,
3672,
62,
3510,
33411,
4279,
1279,
2534,
5357,
3277,
796,
366,
15065,
4563,
544,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
16076,
329,
4807,
4563,
544,
351,
4279,
1342,
621,
2534,
46506,
16076,
16034,
3084,
62,
3672,
62,
3510,
33411,
4279,
1279,
2534,
5357,
3277,
796,
366,
15065,
4563,
544,
1
] |
How many viewers saw the episode written by kevin biegel & bill lawrence? | SELECT us_viewers__in_million_ FROM table_27987623_1 WHERE written_by = "Kevin Biegel & Bill Lawrence" | [
2437,
867,
10209,
2497,
262,
4471,
3194,
416,
885,
7114,
275,
28210,
1222,
2855,
1099,
6784,
30,
46506,
514,
62,
1177,
364,
834,
259,
62,
14100,
62,
16034,
3084,
62,
1983,
4089,
4304,
1954,
62,
16,
33411,
3194,
62,
1525,
796,
366,
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
] | [
2437,
867,
10209,
2497,
262,
4471,
3194,
416,
885,
7114,
275,
28210,
1222,
2855,
1099,
6784,
30,
46506,
514,
62,
1177,
364,
834,
259,
62,
14100,
62,
16034,
3084,
62,
1983,
4089,
4304,
1954,
62,
16,
33411,
3194,
62,
1525,
796,
366,
2... |
Name the least events for number 7 | SELECT MIN(events) FROM table_24108789_6 WHERE _number = 7 | [
5376,
262,
1551,
2995,
329,
1271,
767,
46506,
20625,
7,
31534,
8,
16034,
3084,
62,
1731,
15711,
40401,
62,
21,
33411,
4808,
17618,
796,
767
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
1551,
2995,
329,
1271,
767,
46506,
20625,
7,
31534,
8,
16034,
3084,
62,
1731,
15711,
40401,
62,
21,
33411,
4808,
17618,
796,
767
] |
If the position is AM and the league is larger than 7.0, what is the total R number? | SELECT COUNT("R") FROM table_25570 WHERE "Position" = 'AM' AND "League" > '7.0' | [
1532,
262,
2292,
318,
3001,
290,
262,
4652,
318,
4025,
621,
767,
13,
15,
11,
644,
318,
262,
2472,
371,
1271,
30,
46506,
327,
28270,
7203,
49,
4943,
16034,
3084,
62,
13381,
2154,
33411,
366,
26545,
1,
796,
705,
2390,
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
] | [
1532,
262,
2292,
318,
3001,
290,
262,
4652,
318,
4025,
621,
767,
13,
15,
11,
644,
318,
262,
2472,
371,
1271,
30,
46506,
327,
28270,
7203,
49,
4943,
16034,
3084,
62,
13381,
2154,
33411,
366,
26545,
1,
796,
705,
2390,
6,
5357,
366,
... |
What is the score of the match with a save postponed rescheduled for June 24? | SELECT score FROM table_name_97 WHERE save = "postponed rescheduled for june 24" | [
2061,
318,
262,
4776,
286,
262,
2872,
351,
257,
3613,
33922,
581,
1740,
6309,
329,
2795,
1987,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
5607,
33411,
3613,
796,
366,
7353,
79,
12004,
581,
1740,
6309,
329,
474,
1726,
1987,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4776,
286,
262,
2872,
351,
257,
3613,
33922,
581,
1740,
6309,
329,
2795,
1987,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
5607,
33411,
3613,
796,
366,
7353,
79,
12004,
581,
1740,
6309,
329,
474,
1726,
1987,
1
] |
Which locations did Gordon Johncock hold the pole position? | SELECT "Location" FROM table_25235 WHERE "Pole Position" = 'Gordon Johncock' | [
13828,
7064,
750,
11646,
1757,
21517,
1745,
262,
16825,
2292,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
1495,
22370,
33411,
366,
47,
2305,
23158,
1,
796,
705,
47073,
1757,
21517,
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
] | [
13828,
7064,
750,
11646,
1757,
21517,
1745,
262,
16825,
2292,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
1495,
22370,
33411,
366,
47,
2305,
23158,
1,
796,
705,
47073,
1757,
21517,
6
] |
How many wins did South Warrnambool have that had more than 6 flags and a draw greater than 10? | SELECT "Wins" FROM table_64138 WHERE "Flags" > '6' AND "Draws" > '10' AND "Club" = 'south warrnambool' | [
2437,
867,
7864,
750,
2520,
1810,
35906,
4131,
970,
423,
326,
550,
517,
621,
718,
9701,
290,
257,
3197,
3744,
621,
838,
30,
46506,
366,
54,
1040,
1,
16034,
3084,
62,
2414,
20107,
33411,
366,
40053,
1,
1875,
705,
21,
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,
1,
1
] | [
2437,
867,
7864,
750,
2520,
1810,
35906,
4131,
970,
423,
326,
550,
517,
621,
718,
9701,
290,
257,
3197,
3744,
621,
838,
30,
46506,
366,
54,
1040,
1,
16034,
3084,
62,
2414,
20107,
33411,
366,
40053,
1,
1875,
705,
21,
6,
5357,
366,
... |
what is the earliest flight from PHILADELPHIA to DALLAS FIRST class | 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, fare_basis, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND fare_basis.class_type = 'FIRST' AND fare.fare... | [
10919,
318,
262,
14555,
5474,
422,
9370,
4146,
2885,
3698,
11909,
3539,
284,
360,
7036,
1921,
31328,
1398,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14555,
5474,
422,
9370,
4146,
2885,
3698,
11909,
3539,
284,
360,
7036,
1921,
31328,
1398,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,... |
What's the Call sign with a Frequency MHz thats smaller than 95.9 and an ERP W of 10? | SELECT "Call sign" FROM table_70511 WHERE "Frequency MHz" < '95.9' AND "ERP W" = '10' | [
2061,
338,
262,
4889,
1051,
351,
257,
31902,
19805,
29294,
4833,
621,
6957,
13,
24,
290,
281,
13793,
47,
370,
286,
838,
30,
46506,
366,
14134,
1051,
1,
16034,
3084,
62,
34801,
1157,
33411,
366,
37,
28707,
19805,
1,
1279,
705,
3865,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4889,
1051,
351,
257,
31902,
19805,
29294,
4833,
621,
6957,
13,
24,
290,
281,
13793,
47,
370,
286,
838,
30,
46506,
366,
14134,
1051,
1,
16034,
3084,
62,
34801,
1157,
33411,
366,
37,
28707,
19805,
1,
1279,
705,
3865,
... |
What is the table position for 4 December 2008 vacancy? | SELECT position_in_table FROM table_name_13 WHERE date_of_vacancy = "4 december 2008" | [
2061,
318,
262,
3084,
2292,
329,
604,
3426,
3648,
39836,
30,
46506,
2292,
62,
259,
62,
11487,
16034,
3084,
62,
3672,
62,
1485,
33411,
3128,
62,
1659,
62,
85,
330,
3883,
796,
366,
19,
390,
3273,
3648,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3084,
2292,
329,
604,
3426,
3648,
39836,
30,
46506,
2292,
62,
259,
62,
11487,
16034,
3084,
62,
3672,
62,
1485,
33411,
3128,
62,
1659,
62,
85,
330,
3883,
796,
366,
19,
390,
3273,
3648,
1
] |
calculate the average age of female patients who self-discharged against medical advice. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" | [
9948,
3129,
378,
262,
2811,
2479,
286,
4048,
3871,
508,
2116,
12,
6381,
17200,
1028,
3315,
5608,
13,
46506,
35224,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
6381,
10136,
62,
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
] | [
9948,
3129,
378,
262,
2811,
2479,
286,
4048,
3871,
508,
2116,
12,
6381,
17200,
1028,
3315,
5608,
13,
46506,
35224,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
6381,
10136,
62,
2... |
What is the most recent year in which the score was 4 6, 6 3, 7 5? | SELECT MAX(year) FROM table_name_91 WHERE score = "4–6, 6–3, 7–5" | [
2061,
318,
262,
749,
2274,
614,
287,
543,
262,
4776,
373,
604,
718,
11,
718,
513,
11,
767,
642,
30,
46506,
25882,
7,
1941,
8,
16034,
3084,
62,
3672,
62,
6420,
33411,
4776,
796,
366,
19,
1906,
21,
11,
718,
1906,
18,
11,
767,
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
] | [
2061,
318,
262,
749,
2274,
614,
287,
543,
262,
4776,
373,
604,
718,
11,
718,
513,
11,
767,
642,
30,
46506,
25882,
7,
1941,
8,
16034,
3084,
62,
3672,
62,
6420,
33411,
4776,
796,
366,
19,
1906,
21,
11,
718,
1906,
18,
11,
767,
1906... |
What was the score on January 12? | SELECT "Score" FROM table_78165 WHERE "Date" = 'january 12' | [
2061,
373,
262,
4776,
319,
3269,
1105,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3695,
20986,
33411,
366,
10430,
1,
796,
705,
13881,
2838,
1105,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
4776,
319,
3269,
1105,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3695,
20986,
33411,
366,
10430,
1,
796,
705,
13881,
2838,
1105,
6
] |
Show the crime rates of counties in ascending order of number of police officers. | SELECT crime_rate FROM county_public_safety ORDER BY police_officers | [
15307,
262,
4065,
3965,
286,
14683,
287,
41988,
1502,
286,
1271,
286,
1644,
3790,
13,
46506,
4065,
62,
4873,
16034,
7968,
62,
11377,
62,
44708,
38678,
11050,
1644,
62,
14406,
364
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
262,
4065,
3965,
286,
14683,
287,
41988,
1502,
286,
1271,
286,
1644,
3790,
13,
46506,
4065,
62,
4873,
16034,
7968,
62,
11377,
62,
44708,
38678,
11050,
1644,
62,
14406,
364
] |
What is the most goals made for a person with less than 208 matches and ranked lower than 12? | SELECT MAX("Goals") FROM table_41212 WHERE "Matches" < '208' AND "Rank" > '12' | [
2061,
318,
262,
749,
4661,
925,
329,
257,
1048,
351,
1342,
621,
27121,
7466,
290,
10307,
2793,
621,
1105,
30,
46506,
25882,
7203,
5247,
874,
4943,
16034,
3084,
62,
39226,
1065,
33411,
366,
19044,
2052,
1,
1279,
705,
21315,
6,
5357,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
749,
4661,
925,
329,
257,
1048,
351,
1342,
621,
27121,
7466,
290,
10307,
2793,
621,
1105,
30,
46506,
25882,
7203,
5247,
874,
4943,
16034,
3084,
62,
39226,
1065,
33411,
366,
19044,
2052,
1,
1279,
705,
21315,
6,
5357,
36... |
when did patient 031-16123 during the last hospital encounter last receive the blood, venipuncture microbiology test? | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123' AND NOT patient.hospitaldischargetime IS NULL ORDER BY... | [
12518,
750,
5827,
657,
3132,
12,
1433,
10163,
1141,
262,
938,
4436,
8791,
938,
3328,
262,
2910,
11,
8710,
541,
39187,
24559,
1435,
1332,
30,
46506,
4580,
23912,
13,
25584,
83,
461,
298,
524,
16034,
4580,
23912,
33411,
4580,
23912,
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... | [
12518,
750,
5827,
657,
3132,
12,
1433,
10163,
1141,
262,
938,
4436,
8791,
938,
3328,
262,
2910,
11,
8710,
541,
39187,
24559,
1435,
1332,
30,
46506,
4580,
23912,
13,
25584,
83,
461,
298,
524,
16034,
4580,
23912,
33411,
4580,
23912,
13,
... |
Which player went to Pittsburg State | SELECT "Player" FROM table_1224 WHERE "College" = 'Pittsburg State' | [
13828,
2137,
1816,
284,
10276,
30359,
1812,
46506,
366,
14140,
1,
16034,
3084,
62,
1065,
1731,
33411,
366,
38951,
1,
796,
705,
47627,
30359,
1812,
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
] | [
13828,
2137,
1816,
284,
10276,
30359,
1812,
46506,
366,
14140,
1,
16034,
3084,
62,
1065,
1731,
33411,
366,
38951,
1,
796,
705,
47627,
30359,
1812,
6
] |
serum creatinine at screening > 1.4 mg / dl ( 124 umol / l ) for female , or > 1.5 mg / dl ( 133 umol / l ) for male . | SELECT * FROM table_dev_38 WHERE (gender = 'female' AND serum_creatinine > 1.4) OR (gender = 'male' AND serum_creatinine > 1.5) | [
2655,
388,
1827,
259,
500,
379,
14135,
1875,
352,
13,
19,
10527,
1220,
288,
75,
357,
19755,
23781,
349,
1220,
300,
1267,
329,
4048,
837,
393,
1875,
352,
13,
20,
10527,
1220,
288,
75,
357,
22169,
23781,
349,
1220,
300,
1267,
329,
425... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2655,
388,
1827,
259,
500,
379,
14135,
1875,
352,
13,
19,
10527,
1220,
288,
75,
357,
19755,
23781,
349,
1220,
300,
1267,
329,
4048,
837,
393,
1875,
352,
13,
20,
10527,
1220,
288,
75,
357,
22169,
23781,
349,
1220,
300,
1267,
329,
425... |
which teams have more wins that werder bremen ? | SELECT "team" FROM table_203_309 WHERE "winners" > (SELECT "winners" FROM table_203_309 WHERE "team" = 'werder bremen') | [
4758,
3466,
423,
517,
7864,
326,
266,
263,
1082,
1449,
3653,
5633,
46506,
366,
15097,
1,
16034,
3084,
62,
22416,
62,
26895,
33411,
366,
5404,
2741,
1,
1875,
357,
46506,
366,
5404,
2741,
1,
16034,
3084,
62,
22416,
62,
26895,
33411,
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
] | [
4758,
3466,
423,
517,
7864,
326,
266,
263,
1082,
1449,
3653,
5633,
46506,
366,
15097,
1,
16034,
3084,
62,
22416,
62,
26895,
33411,
366,
5404,
2741,
1,
1875,
357,
46506,
366,
5404,
2741,
1,
16034,
3084,
62,
22416,
62,
26895,
33411,
366... |
What competition listed is dated November 17, 2003? | SELECT competition FROM table_name_32 WHERE date = "november 17, 2003" | [
2061,
5449,
5610,
318,
14567,
3389,
1596,
11,
5816,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
2624,
33411,
3128,
796,
366,
77,
3239,
1596,
11,
5816,
1
] | [
1,
1,
1,
1,
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,
5449,
5610,
318,
14567,
3389,
1596,
11,
5816,
30,
46506,
5449,
16034,
3084,
62,
3672,
62,
2624,
33411,
3128,
796,
366,
77,
3239,
1596,
11,
5816,
1
] |
provide me the diagnosis short title and diagnosis icd9 code for patient with patient id 2560. | SELECT diagnoses.icd9_code, diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "2560" | [
15234,
485,
502,
262,
13669,
1790,
3670,
290,
13669,
14158,
67,
24,
2438,
329,
5827,
351,
5827,
4686,
1679,
1899,
13,
46506,
40567,
13,
291,
67,
24,
62,
8189,
11,
40567,
13,
19509,
62,
7839,
16034,
40567,
33411,
40567,
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
] | [
15234,
485,
502,
262,
13669,
1790,
3670,
290,
13669,
14158,
67,
24,
2438,
329,
5827,
351,
5827,
4686,
1679,
1899,
13,
46506,
40567,
13,
291,
67,
24,
62,
8189,
11,
40567,
13,
19509,
62,
7839,
16034,
40567,
33411,
40567,
13,
32796,
62,
... |
Which season has a Staffel E of Stahl Riesa? | SELECT season FROM table_name_21 WHERE staffel_e = "stahl riesa" | [
13828,
1622,
468,
257,
9983,
417,
412,
286,
520,
15668,
371,
444,
64,
30,
46506,
1622,
16034,
3084,
62,
3672,
62,
2481,
33411,
3085,
417,
62,
68,
796,
366,
301,
15668,
374,
444,
64,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1622,
468,
257,
9983,
417,
412,
286,
520,
15668,
371,
444,
64,
30,
46506,
1622,
16034,
3084,
62,
3672,
62,
2481,
33411,
3085,
417,
62,
68,
796,
366,
301,
15668,
374,
444,
64,
1
] |
What institution(s) are located in wilkes-barre, pennsylvania? | SELECT institution FROM table_261906_2 WHERE location = "Wilkes-Barre, Pennsylvania" | [
2061,
9901,
7,
82,
8,
389,
5140,
287,
39716,
5209,
12,
5657,
260,
11,
22429,
9270,
30,
46506,
9901,
16034,
3084,
62,
2075,
1129,
3312,
62,
17,
33411,
4067,
796,
366,
22327,
5209,
12,
33,
9624,
11,
9589,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9901,
7,
82,
8,
389,
5140,
287,
39716,
5209,
12,
5657,
260,
11,
22429,
9270,
30,
46506,
9901,
16034,
3084,
62,
2075,
1129,
3312,
62,
17,
33411,
4067,
796,
366,
22327,
5209,
12,
33,
9624,
11,
9589,
1
] |
Show all cities and corresponding number of students Plot them as bar chart, and could you display in desc by the the total number ? | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code ORDER BY COUNT(*) DESC | [
15307,
477,
4736,
290,
11188,
1271,
286,
2444,
28114,
606,
355,
2318,
8262,
11,
290,
714,
345,
3359,
287,
1715,
416,
262,
262,
2472,
1271,
5633,
46506,
1748,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
13613,
44441,
11050,
1748,
62,
81... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
477,
4736,
290,
11188,
1271,
286,
2444,
28114,
606,
355,
2318,
8262,
11,
290,
714,
345,
3359,
287,
1715,
416,
262,
262,
2472,
1271,
5633,
46506,
1748,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
13613,
44441,
11050,
1748,
62,
81... |
what is the drug name that was prescribed to patient 25696 within 2 days after they received a sympath nerve inject nec procedure in 03/last year? | SELECT t2.drug FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 25696 AND procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = ... | [
10919,
318,
262,
2563,
1438,
326,
373,
14798,
284,
5827,
1679,
38205,
1626,
362,
1528,
706,
484,
2722,
257,
23860,
16384,
8677,
27576,
8771,
287,
7643,
14,
12957,
614,
30,
46506,
256,
17,
13,
30349,
16034,
357,
46506,
25349,
13,
32796,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2563,
1438,
326,
373,
14798,
284,
5827,
1679,
38205,
1626,
362,
1528,
706,
484,
2722,
257,
23860,
16384,
8677,
27576,
8771,
287,
7643,
14,
12957,
614,
30,
46506,
256,
17,
13,
30349,
16034,
357,
46506,
25349,
13,
32796,
... |
What is the average Events when the top-25 is 12 and there are less than 0 wins? | SELECT AVG("Events") FROM table_40560 WHERE "Top-25" = '12' AND "Wins" < '0' | [
2061,
318,
262,
2811,
18715,
618,
262,
1353,
12,
1495,
318,
1105,
290,
612,
389,
1342,
621,
657,
7864,
30,
46506,
35224,
7203,
37103,
4943,
16034,
3084,
62,
26598,
1899,
33411,
366,
9126,
12,
1495,
1,
796,
705,
1065,
6,
5357,
366,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
18715,
618,
262,
1353,
12,
1495,
318,
1105,
290,
612,
389,
1342,
621,
657,
7864,
30,
46506,
35224,
7203,
37103,
4943,
16034,
3084,
62,
26598,
1899,
33411,
366,
9126,
12,
1495,
1,
796,
705,
1065,
6,
5357,
366,
5... |
What is the home country of the player who placed t5 and had a score of 69-71=140? | SELECT "Country" FROM table_50172 WHERE "Place" = 't5' AND "Score" = '69-71=140' | [
2061,
318,
262,
1363,
1499,
286,
262,
2137,
508,
4624,
256,
20,
290,
550,
257,
4776,
286,
8644,
12,
4869,
28,
15187,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
33548,
4761,
33411,
366,
27271,
1,
796,
705,
83,
20,
6,
5357,
366,
265... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1363,
1499,
286,
262,
2137,
508,
4624,
256,
20,
290,
550,
257,
4776,
286,
8644,
12,
4869,
28,
15187,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
33548,
4761,
33411,
366,
27271,
1,
796,
705,
83,
20,
6,
5357,
366,
265... |
When was the Super B capacity reached when the number of truck loads north was 7735? | SELECT "Super B Capacity Reached [ citation needed ]" FROM table_17797 WHERE "Number of Truck Loads North" = '7735' | [
2215,
373,
262,
3115,
347,
5339,
4251,
618,
262,
1271,
286,
7779,
15989,
5093,
373,
8541,
2327,
30,
46506,
366,
12442,
347,
29765,
13618,
685,
27860,
2622,
2361,
1,
16034,
3084,
62,
1558,
44673,
33411,
366,
15057,
286,
24892,
8778,
82,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
3115,
347,
5339,
4251,
618,
262,
1271,
286,
7779,
15989,
5093,
373,
8541,
2327,
30,
46506,
366,
12442,
347,
29765,
13618,
685,
27860,
2622,
2361,
1,
16034,
3084,
62,
1558,
44673,
33411,
366,
15057,
286,
24892,
8778,
82,
... |
Name the PreMajor or MDE courses offered in the Fall term . | SELECT DISTINCT course.department, course.name, course.number, program_course.category FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND program_course.category IN ('PreMajor', 'MDE') AND program_course.course_id = course.course_id AND semester.semester = 'Fal... | [
5376,
262,
3771,
24206,
393,
337,
7206,
10902,
4438,
287,
262,
7218,
3381,
764,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
1430,
62,
17319,
13,
22872,
16034,
1781,
11,
1781,
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... | [
5376,
262,
3771,
24206,
393,
337,
7206,
10902,
4438,
287,
262,
7218,
3381,
764,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
1430,
62,
17319,
13,
22872,
16034,
1781,
11,
1781,
62,
... |
Show the number of games in each season and group by away team in a group line chart The x-axis is season, and list Season in descending order. | SELECT Season, COUNT(Season) FROM game GROUP BY Away_team ORDER BY Season DESC | [
15307,
262,
1271,
286,
1830,
287,
1123,
1622,
290,
1448,
416,
1497,
1074,
287,
257,
1448,
1627,
8262,
383,
2124,
12,
22704,
318,
1622,
11,
290,
1351,
7369,
287,
31491,
1502,
13,
46506,
7369,
11,
327,
28270,
7,
18960,
8,
16034,
983,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1830,
287,
1123,
1622,
290,
1448,
416,
1497,
1074,
287,
257,
1448,
1627,
8262,
383,
2124,
12,
22704,
318,
1622,
11,
290,
1351,
7369,
287,
31491,
1502,
13,
46506,
7369,
11,
327,
28270,
7,
18960,
8,
16034,
983,
... |
How many poles did he have in 2006 with under 2 wins? | SELECT poles FROM table_name_57 WHERE season = "2006" AND wins < 2 | [
2437,
867,
24971,
750,
339,
423,
287,
4793,
351,
739,
362,
7864,
30,
46506,
24971,
16034,
3084,
62,
3672,
62,
3553,
33411,
1622,
796,
366,
13330,
1,
5357,
7864,
1279,
362
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
24971,
750,
339,
423,
287,
4793,
351,
739,
362,
7864,
30,
46506,
24971,
16034,
3084,
62,
3672,
62,
3553,
33411,
1622,
796,
366,
13330,
1,
5357,
7864,
1279,
362
] |
Show the names of countries and the average speed of roller coasters from each country. Show a pie chart. | SELECT T1.Name, AVG(T2.Speed) FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name | [
15307,
262,
3891,
286,
2678,
290,
262,
2811,
2866,
286,
24471,
763,
7060,
422,
1123,
1499,
13,
5438,
257,
2508,
8262,
13,
46506,
309,
16,
13,
5376,
11,
35224,
7,
51,
17,
13,
22785,
8,
16034,
1499,
7054,
309,
16,
32357,
1268,
24471,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3891,
286,
2678,
290,
262,
2811,
2866,
286,
24471,
763,
7060,
422,
1123,
1499,
13,
5438,
257,
2508,
8262,
13,
46506,
309,
16,
13,
5376,
11,
35224,
7,
51,
17,
13,
22785,
8,
16034,
1499,
7054,
309,
16,
32357,
1268,
24471,
... |
how many na -350- with title and source being bokumo sekai wo sukuitai: battle tournament | SELECT COUNT("NA -350-") FROM table_18898 WHERE "Title and Source" = 'Bokumo Sekai wo Sukuitai: Battle Tournament' | [
4919,
867,
12385,
532,
14877,
12,
351,
3670,
290,
2723,
852,
275,
482,
43712,
384,
32765,
24486,
424,
74,
5013,
1872,
25,
3344,
7756,
46506,
327,
28270,
7203,
4535,
532,
14877,
12,
4943,
16034,
3084,
62,
20356,
4089,
33411,
366,
19160,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12385,
532,
14877,
12,
351,
3670,
290,
2723,
852,
275,
482,
43712,
384,
32765,
24486,
424,
74,
5013,
1872,
25,
3344,
7756,
46506,
327,
28270,
7203,
4535,
532,
14877,
12,
4943,
16034,
3084,
62,
20356,
4089,
33411,
366,
19160,
... |
Get user comments by tag. | SELECT Comments.Id AS "comment_link", Posts.Tags, Comments.Score, Text FROM Comments INNER JOIN Posts ON Comments.PostId = Posts.Id WHERE UserId = '##UserId##' AND Posts.Tags LIKE '%##Tag##%' ORDER BY Comments.CreationDate DESC | [
3855,
2836,
3651,
416,
7621,
13,
46506,
19502,
13,
7390,
7054,
366,
23893,
62,
8726,
1600,
12043,
13,
36142,
11,
19502,
13,
26595,
11,
8255,
16034,
19502,
3268,
21479,
32357,
1268,
12043,
6177,
19502,
13,
6307,
7390,
796,
12043,
13,
739... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3855,
2836,
3651,
416,
7621,
13,
46506,
19502,
13,
7390,
7054,
366,
23893,
62,
8726,
1600,
12043,
13,
36142,
11,
19502,
13,
26595,
11,
8255,
16034,
19502,
3268,
21479,
32357,
1268,
12043,
6177,
19502,
13,
6307,
7390,
796,
12043,
13,
739... |
what is the total number of times brazil and argentina did not win gold ? | SELECT COUNT(*) FROM table_204_360 WHERE "gold" <> 'brazil' AND "gold" <> 'argentina' | [
10919,
318,
262,
2472,
1271,
286,
1661,
275,
7098,
290,
1822,
298,
1437,
750,
407,
1592,
3869,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
15277,
33411,
366,
24267,
1,
1279,
29,
705,
65,
7098,
6,
5357,
366,
24267,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
286,
1661,
275,
7098,
290,
1822,
298,
1437,
750,
407,
1592,
3869,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
15277,
33411,
366,
24267,
1,
1279,
29,
705,
65,
7098,
6,
5357,
366,
24267,
... |
Display a bar chart for how old is the average person for each job?, sort in descending by the total number. | SELECT job, AVG(age) FROM Person GROUP BY job ORDER BY AVG(age) DESC | [
23114,
257,
2318,
8262,
329,
703,
1468,
318,
262,
2811,
1048,
329,
1123,
1693,
21747,
3297,
287,
31491,
416,
262,
2472,
1271,
13,
46506,
1693,
11,
35224,
7,
496,
8,
16034,
7755,
44441,
11050,
1693,
38678,
11050,
35224,
7,
496,
8,
2219... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23114,
257,
2318,
8262,
329,
703,
1468,
318,
262,
2811,
1048,
329,
1123,
1693,
21747,
3297,
287,
31491,
416,
262,
2472,
1271,
13,
46506,
1693,
11,
35224,
7,
496,
8,
16034,
7755,
44441,
11050,
1693,
38678,
11050,
35224,
7,
496,
8,
2219... |
Give me a histogram for how many members are in each party?, and could you list by the y-axis from high to low? | SELECT Party_name, COUNT(*) FROM member AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID ORDER BY COUNT(*) DESC | [
23318,
502,
257,
1554,
21857,
329,
703,
867,
1866,
389,
287,
1123,
2151,
21747,
290,
714,
345,
1351,
416,
262,
331,
12,
22704,
422,
1029,
284,
1877,
30,
46506,
3615,
62,
3672,
11,
327,
28270,
7,
28104,
16034,
2888,
7054,
309,
16,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
23318,
502,
257,
1554,
21857,
329,
703,
867,
1866,
389,
287,
1123,
2151,
21747,
290,
714,
345,
1351,
416,
262,
331,
12,
22704,
422,
1029,
284,
1877,
30,
46506,
3615,
62,
3672,
11,
327,
28270,
7,
28104,
16034,
2888,
7054,
309,
16,
32... |
Who lost on May 31? | SELECT "Loss" FROM table_79781 WHERE "Date" = 'may 31' | [
8241,
2626,
319,
1737,
3261,
30,
46506,
366,
43,
793,
1,
16034,
3084,
62,
3720,
49703,
33411,
366,
10430,
1,
796,
705,
11261,
3261,
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
] | [
8241,
2626,
319,
1737,
3261,
30,
46506,
366,
43,
793,
1,
16034,
3084,
62,
3720,
49703,
33411,
366,
10430,
1,
796,
705,
11261,
3261,
6
] |
What are incumbent William Vandever's results? | SELECT result FROM table_name_81 WHERE incumbent = "william vandever" | [
2061,
389,
23526,
3977,
35464,
964,
338,
2482,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
6659,
33411,
23526,
796,
366,
10594,
1789,
410,
392,
964,
1
] | [
1,
1,
1,
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,
23526,
3977,
35464,
964,
338,
2482,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
6659,
33411,
23526,
796,
366,
10594,
1789,
410,
392,
964,
1
] |
For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of price , and group by attribute name, sort bar in ascending order. | SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1438,
290,
262,
2160,
286,
2756,
837,
290,
1448,
416,
11688,
1438,
11,
3297,
2318,
287,
41988,
1502,
13,
46506,
309,
17,
13,
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,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1438,
290,
262,
2160,
286,
2756,
837,
290,
1448,
416,
11688,
1438,
11,
3297,
2318,
287,
41988,
1502,
13,
46506,
309,
17,
13,
53... |
Who was the home team at Gold Coast Convention Centre? | SELECT home_team FROM table_name_8 WHERE venue = "gold coast convention centre" | [
8241,
373,
262,
1363,
1074,
379,
3561,
8545,
11680,
9072,
30,
46506,
1363,
62,
15097,
16034,
3084,
62,
3672,
62,
23,
33411,
14359,
796,
366,
24267,
7051,
9831,
7372,
1
] | [
1,
1,
1,
1,
1,
1,
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,
379,
3561,
8545,
11680,
9072,
30,
46506,
1363,
62,
15097,
16034,
3084,
62,
3672,
62,
23,
33411,
14359,
796,
366,
24267,
7051,
9831,
7372,
1
] |
What is the Date of the Tournament with a Score of 3 6, 7 6(6), 5 7? | SELECT "Date" FROM table_49188 WHERE "Score" = '3–6, 7–6(6), 5–7' | [
2061,
318,
262,
7536,
286,
262,
9595,
351,
257,
15178,
286,
513,
718,
11,
767,
718,
7,
21,
828,
642,
767,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2920,
20356,
33411,
366,
26595,
1,
796,
705,
18,
1906,
21,
11,
767,
1906,
21,
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
] | [
2061,
318,
262,
7536,
286,
262,
9595,
351,
257,
15178,
286,
513,
718,
11,
767,
718,
7,
21,
828,
642,
767,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2920,
20356,
33411,
366,
26595,
1,
796,
705,
18,
1906,
21,
11,
767,
1906,
21,
7... |
how many patients whose admission type is elective and procedure long title is other conversion of cardiac rhythm? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.long_title = "Other conversion of cardiac rhythm" | [
4919,
867,
3871,
3025,
13938,
2099,
318,
1742,
425,
290,
8771,
890,
3670,
318,
584,
11315,
286,
26077,
18662,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
3871,
3025,
13938,
2099,
318,
1742,
425,
290,
8771,
890,
3670,
318,
584,
11315,
286,
26077,
18662,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
... |
Name the least rank | SELECT MIN("Rank") FROM table_27489 | [
5376,
262,
1551,
4279,
46506,
20625,
7203,
27520,
4943,
16034,
3084,
62,
1983,
35890
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
1551,
4279,
46506,
20625,
7203,
27520,
4943,
16034,
3084,
62,
1983,
35890
] |
Which team has a 59.8% completion rate? | SELECT "Team" FROM table_71845 WHERE "Completion %" = '59.8%' | [
13828,
1074,
468,
257,
7863,
13,
23,
4,
11939,
2494,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
45720,
2231,
33411,
366,
5377,
24547,
4064,
1,
796,
705,
3270,
13,
23,
4,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1074,
468,
257,
7863,
13,
23,
4,
11939,
2494,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
45720,
2231,
33411,
366,
5377,
24547,
4064,
1,
796,
705,
3270,
13,
23,
4,
6
] |
How many extra points did right halfback Roswell Wendell have? | SELECT extra_points FROM table_name_12 WHERE position = "right halfback" AND player = "roswell wendell" | [
2437,
867,
3131,
2173,
750,
826,
2063,
1891,
10018,
4053,
21042,
695,
423,
30,
46506,
3131,
62,
13033,
16034,
3084,
62,
3672,
62,
1065,
33411,
2292,
796,
366,
3506,
2063,
1891,
1,
5357,
2137,
796,
366,
305,
2032,
695,
266,
437,
695,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3131,
2173,
750,
826,
2063,
1891,
10018,
4053,
21042,
695,
423,
30,
46506,
3131,
62,
13033,
16034,
3084,
62,
3672,
62,
1065,
33411,
2292,
796,
366,
3506,
2063,
1891,
1,
5357,
2137,
796,
366,
305,
2032,
695,
266,
437,
695,
... |
Find papers whose second author has last name 'Turon' and is affiliated with an institution in the country 'USA'. | SELECT t3.title FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid JOIN inst AS t4 ON t2.instid = t4.instid WHERE t4.country = "USA" AND t2.authorder = 2 AND t1.lname = "Turon" | [
16742,
9473,
3025,
1218,
1772,
468,
938,
1438,
705,
17483,
261,
6,
290,
318,
18552,
351,
281,
9901,
287,
262,
1499,
705,
14053,
4458,
46506,
256,
18,
13,
7839,
16034,
7035,
7054,
256,
16,
32357,
1268,
7035,
1056,
7054,
256,
17,
6177,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
16742,
9473,
3025,
1218,
1772,
468,
938,
1438,
705,
17483,
261,
6,
290,
318,
18552,
351,
281,
9901,
287,
262,
1499,
705,
14053,
4458,
46506,
256,
18,
13,
7839,
16034,
7035,
7054,
256,
16,
32357,
1268,
7035,
1056,
7054,
256,
17,
6177,
... |
What is the Name of the Mill Built in 1802? | SELECT name_of_mill FROM table_name_73 WHERE built = "1802" | [
2061,
318,
262,
6530,
286,
262,
9212,
28477,
287,
1248,
2999,
30,
46506,
1438,
62,
1659,
62,
17805,
16034,
3084,
62,
3672,
62,
4790,
33411,
3170,
796,
366,
1507,
2999,
1
] | [
1,
1,
1,
1,
1,
1,
1,
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,
6530,
286,
262,
9212,
28477,
287,
1248,
2999,
30,
46506,
1438,
62,
1659,
62,
17805,
16034,
3084,
62,
3672,
62,
4790,
33411,
3170,
796,
366,
1507,
2999,
1
] |
Unanswered Geocoding questions within the Google Maps tag. | SELECT post.Title, post.Tags, post.AnswerCount, postType.Name FROM Posts AS post INNER JOIN PostTypes AS postType ON postType.Id = post.PostTypeId WHERE post.Tags LIKE '%google-maps%' AND LOWER(post.Title) LIKE '%geocod%' AND post.AcceptedAnswerId IS NULL ORDER BY post.AnswerCount | [
3118,
31966,
2269,
420,
7656,
2683,
1626,
262,
3012,
20347,
7621,
13,
46506,
1281,
13,
19160,
11,
1281,
13,
36142,
11,
1281,
13,
33706,
12332,
11,
1281,
6030,
13,
5376,
16034,
12043,
7054,
1281,
3268,
21479,
32357,
1268,
2947,
31431,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3118,
31966,
2269,
420,
7656,
2683,
1626,
262,
3012,
20347,
7621,
13,
46506,
1281,
13,
19160,
11,
1281,
13,
36142,
11,
1281,
13,
33706,
12332,
11,
1281,
6030,
13,
5376,
16034,
12043,
7054,
1281,
3268,
21479,
32357,
1268,
2947,
31431,
70... |
Which position was the World Indoor Championships in a year later than 2008? | SELECT "Position" FROM table_40511 WHERE "Competition" = 'world indoor championships' AND "Year" > '2008' | [
13828,
2292,
373,
262,
2159,
1423,
2675,
24782,
287,
257,
614,
1568,
621,
3648,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
26598,
1157,
33411,
366,
7293,
15620,
1,
796,
705,
6894,
22639,
27459,
6,
5357,
366,
17688,
1,
1875,
705,
11528... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2292,
373,
262,
2159,
1423,
2675,
24782,
287,
257,
614,
1568,
621,
3648,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
26598,
1157,
33411,
366,
7293,
15620,
1,
796,
705,
6894,
22639,
27459,
6,
5357,
366,
17688,
1,
1875,
705,
11528... |
For which .308 winchester cartridge type is the 300 m group ( moa ) 0.51 | SELECT ".308 Winchester cartridge type" FROM table_17500 WHERE "300 m group ( MOA )" = '0.51' | [
1890,
543,
764,
21495,
1592,
35983,
26904,
2099,
318,
262,
5867,
285,
1448,
357,
6941,
64,
1267,
657,
13,
4349,
46506,
27071,
21495,
40868,
26904,
2099,
1,
16034,
3084,
62,
1558,
4059,
33411,
366,
6200,
285,
1448,
357,
13070,
32,
1267,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
543,
764,
21495,
1592,
35983,
26904,
2099,
318,
262,
5867,
285,
1448,
357,
6941,
64,
1267,
657,
13,
4349,
46506,
27071,
21495,
40868,
26904,
2099,
1,
16034,
3084,
62,
1558,
4059,
33411,
366,
6200,
285,
1448,
357,
13070,
32,
1267,
... |
How many distinct locations have the things with service detail 'Unsatisfied' been located in? | SELECT COUNT(DISTINCT T2.Location_Code) FROM Things AS T1 JOIN Timed_Locations_of_Things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.service_details = 'Unsatisfied' | [
2437,
867,
7310,
7064,
423,
262,
1243,
351,
2139,
3703,
705,
3118,
82,
17403,
798,
6,
587,
5140,
287,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
309,
17,
13,
14749,
62,
10669,
8,
16034,
11597,
7054,
309,
16,
32357,
1268,
5045,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7310,
7064,
423,
262,
1243,
351,
2139,
3703,
705,
3118,
82,
17403,
798,
6,
587,
5140,
287,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
309,
17,
13,
14749,
62,
10669,
8,
16034,
11597,
7054,
309,
16,
32357,
1268,
5045,
... |
Name the date successor seated for delegate seat established | SELECT "Date successor seated" FROM table_73392 WHERE "Reason for change" = 'Delegate seat established' | [
5376,
262,
3128,
17270,
21639,
329,
23191,
5852,
4920,
46506,
366,
10430,
17270,
21639,
1,
16034,
3084,
62,
49995,
5892,
33411,
366,
45008,
329,
1487,
1,
796,
705,
5005,
34637,
5852,
4920,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
3128,
17270,
21639,
329,
23191,
5852,
4920,
46506,
366,
10430,
17270,
21639,
1,
16034,
3084,
62,
49995,
5892,
33411,
366,
45008,
329,
1487,
1,
796,
705,
5005,
34637,
5852,
4920,
6
] |
How many different results came out of the round in which #98 All American Racers became the GTU winning team? | SELECT COUNT("Results") FROM table_857 WHERE "GTU Winning Team" = '#98 All American Racers' | [
2437,
867,
1180,
2482,
1625,
503,
286,
262,
2835,
287,
543,
1303,
4089,
1439,
1605,
24746,
364,
2627,
262,
7963,
52,
5442,
1074,
30,
46506,
327,
28270,
7203,
25468,
4943,
16034,
3084,
62,
23,
3553,
33411,
366,
19555,
52,
40983,
4816,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
1180,
2482,
1625,
503,
286,
262,
2835,
287,
543,
1303,
4089,
1439,
1605,
24746,
364,
2627,
262,
7963,
52,
5442,
1074,
30,
46506,
327,
28270,
7203,
25468,
4943,
16034,
3084,
62,
23,
3553,
33411,
366,
19555,
52,
40983,
4816,
... |
What was the 2nd leg score for the match with Lesotho as team 1? | SELECT 2 AS nd_leg FROM table_name_82 WHERE team_1 = "lesotho" | [
2061,
373,
262,
362,
358,
1232,
4776,
329,
262,
2872,
351,
11732,
849,
78,
355,
1074,
352,
30,
46506,
362,
7054,
299,
67,
62,
1455,
16034,
3084,
62,
3672,
62,
6469,
33411,
1074,
62,
16,
796,
366,
829,
849,
78,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
362,
358,
1232,
4776,
329,
262,
2872,
351,
11732,
849,
78,
355,
1074,
352,
30,
46506,
362,
7054,
299,
67,
62,
1455,
16034,
3084,
62,
3672,
62,
6469,
33411,
1074,
62,
16,
796,
366,
829,
849,
78,
1
] |
What is the 1979 number for Standing Rock Indian Reservation when the 1989 is less than 54.9? | SELECT SUM("1979") FROM table_47910 WHERE "Reservation" = 'standing rock indian reservation' AND "1989" < '54.9' | [
2061,
318,
262,
13521,
1271,
329,
22493,
4631,
3942,
1874,
13208,
618,
262,
11104,
318,
1342,
621,
7175,
13,
24,
30,
46506,
35683,
7203,
33581,
4943,
16034,
3084,
62,
31714,
940,
33411,
366,
4965,
13208,
1,
796,
705,
5646,
3881,
773,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13521,
1271,
329,
22493,
4631,
3942,
1874,
13208,
618,
262,
11104,
318,
1342,
621,
7175,
13,
24,
30,
46506,
35683,
7203,
33581,
4943,
16034,
3084,
62,
31714,
940,
33411,
366,
4965,
13208,
1,
796,
705,
5646,
3881,
773,
... |
What is the sum of Second, when Total is less than 70, when Premier is less than 20, and when First is greater than 18? | SELECT SUM("Second") FROM table_61392 WHERE "Total" < '70' AND "Premier" < '20' AND "First" > '18' | [
2061,
318,
262,
2160,
286,
5498,
11,
618,
7472,
318,
1342,
621,
4317,
11,
618,
9952,
318,
1342,
621,
1160,
11,
290,
618,
3274,
318,
3744,
621,
1248,
30,
46506,
35683,
7203,
12211,
4943,
16034,
3084,
62,
47512,
5892,
33411,
366,
14957,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5498,
11,
618,
7472,
318,
1342,
621,
4317,
11,
618,
9952,
318,
1342,
621,
1160,
11,
290,
618,
3274,
318,
3744,
621,
1248,
30,
46506,
35683,
7203,
12211,
4943,
16034,
3084,
62,
47512,
5892,
33411,
366,
14957,... |
What is the name of the course that has the most student enrollment? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name ORDER BY COUNT(*) DESC LIMIT 1 | [
2061,
318,
262,
1438,
286,
262,
1781,
326,
468,
262,
749,
3710,
20753,
30,
46506,
309,
16,
13,
17319,
62,
3672,
16034,
10902,
7054,
309,
16,
32357,
1268,
3710,
62,
17319,
62,
268,
3225,
434,
7054,
309,
17,
6177,
309,
16,
13,
17319,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
1781,
326,
468,
262,
749,
3710,
20753,
30,
46506,
309,
16,
13,
17319,
62,
3672,
16034,
10902,
7054,
309,
16,
32357,
1268,
3710,
62,
17319,
62,
268,
3225,
434,
7054,
309,
17,
6177,
309,
16,
13,
17319,
... |
what is the number of the episode in the season whose production code is 101? | SELECT COUNT(no) FROM table_28358487_3 WHERE production_code = 101 | [
10919,
318,
262,
1271,
286,
262,
4471,
287,
262,
1622,
3025,
3227,
2438,
318,
8949,
30,
46506,
327,
28270,
7,
3919,
8,
16034,
3084,
62,
2078,
31128,
35133,
62,
18,
33411,
3227,
62,
8189,
796,
8949
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
262,
4471,
287,
262,
1622,
3025,
3227,
2438,
318,
8949,
30,
46506,
327,
28270,
7,
3919,
8,
16034,
3084,
62,
2078,
31128,
35133,
62,
18,
33411,
3227,
62,
8189,
796,
8949
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.