instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
patient 98177 was diagnosed for the last time with what? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 98177) ORDER BY diagnoses_icd.charttime DESC LIMIT 1) | [
26029,
9661,
22413,
373,
14641,
329,
262,
938,
640,
351,
644,
30,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
26029,
9661,
22413,
373,
14641,
329,
262,
938,
640,
351,
644,
30,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
... |
Prof. Radosevich is the only person who teaches Medieval Music , correct ? | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Medieval Music%' AND NOT instructor.name LIKE '%Radosevich%' AND offering_instructor.instructor_id = inst... | [
15404,
13,
5325,
577,
49547,
318,
262,
691,
1048,
508,
17324,
30294,
7849,
837,
3376,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
21187,
13,
3672,
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... | [
15404,
13,
5325,
577,
49547,
318,
262,
691,
1048,
508,
17324,
30294,
7849,
837,
3376,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
21187,
13,
3672,
16034,
1781,
11,
1781,
62,
... |
what was the first height of patient 14671 in 12/2105? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14671)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit ht'... | [
10919,
373,
262,
717,
6001,
286,
5827,
1478,
46250,
287,
1105,
14,
17,
13348,
30,
46506,
8262,
31534,
13,
2100,
84,
44709,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
373,
262,
717,
6001,
286,
5827,
1478,
46250,
287,
1105,
14,
17,
13348,
30,
46506,
8262,
31534,
13,
2100,
84,
44709,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,... |
Name the percentage change yoy for presbyterian college | SELECT percentage_change_yoy FROM table_27956_3 WHERE institution = "Presbyterian College" | [
5376,
262,
5873,
1487,
331,
726,
329,
906,
36204,
666,
4152,
46506,
5873,
62,
3803,
62,
88,
726,
16034,
3084,
62,
1983,
50148,
62,
18,
33411,
9901,
796,
366,
25460,
36204,
666,
5535,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5873,
1487,
331,
726,
329,
906,
36204,
666,
4152,
46506,
5873,
62,
3803,
62,
88,
726,
16034,
3084,
62,
1983,
50148,
62,
18,
33411,
9901,
796,
366,
25460,
36204,
666,
5535,
1
] |
what is the 2nd leg when team #2 is algiris kaunas? | SELECT "2nd leg" FROM table_48038 WHERE "Team #2" = 'žalgiris kaunas' | [
10919,
318,
262,
362,
358,
1232,
618,
1074,
1303,
17,
318,
435,
70,
29616,
479,
1942,
292,
30,
46506,
366,
17,
358,
1232,
1,
16034,
3084,
62,
22148,
2548,
33411,
366,
15592,
1303,
17,
1,
796,
705,
129,
122,
14016,
29616,
479,
1942,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
362,
358,
1232,
618,
1074,
1303,
17,
318,
435,
70,
29616,
479,
1942,
292,
30,
46506,
366,
17,
358,
1232,
1,
16034,
3084,
62,
22148,
2548,
33411,
366,
15592,
1303,
17,
1,
796,
705,
129,
122,
14016,
29616,
479,
1942,
... |
what is minimum age of patients whose ethnicity is white and admission year is greater than or equal to 2119? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear >= "2119" | [
10919,
318,
5288,
2479,
286,
3871,
3025,
26289,
318,
2330,
290,
13938,
614,
318,
3744,
621,
393,
4961,
284,
2310,
1129,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
5288,
2479,
286,
3871,
3025,
26289,
318,
2330,
290,
13938,
614,
318,
3744,
621,
393,
4961,
284,
2310,
1129,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
38546,
414,
796,
366,
12418,
12709,
1... |
What is the Name with an overall of less than 123 for the Detroit Lions? | SELECT name FROM table_name_3 WHERE overall < 123 AND team = "detroit lions" | [
2061,
318,
262,
6530,
351,
281,
4045,
286,
1342,
621,
17031,
329,
262,
8488,
14536,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
18,
33411,
4045,
1279,
17031,
5357,
1074,
796,
366,
15255,
7775,
31420,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
351,
281,
4045,
286,
1342,
621,
17031,
329,
262,
8488,
14536,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
18,
33411,
4045,
1279,
17031,
5357,
1074,
796,
366,
15255,
7775,
31420,
1
] |
when was the first time patient 030-8973 had pneumonia - aspiration until 2104 diagnosed? | SELECT diagnosis.diagnosistime FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-8973')) AND diagnosis.diagnosisname = 'pneumonia - aspiration... | [
12518,
373,
262,
717,
640,
5827,
657,
1270,
12,
4531,
4790,
550,
35647,
532,
48217,
1566,
362,
13464,
14641,
30,
46506,
13669,
13,
47356,
418,
396,
524,
16034,
13669,
33411,
13669,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12518,
373,
262,
717,
640,
5827,
657,
1270,
12,
4531,
4790,
550,
35647,
532,
48217,
1566,
362,
13464,
14641,
30,
46506,
13669,
13,
47356,
418,
396,
524,
16034,
13669,
33411,
13669,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
1... |
What is the sort value that had deaths of 71? | SELECT sort_restore FROM table_name_64 WHERE deaths = "71" | [
2061,
318,
262,
3297,
1988,
326,
550,
7040,
286,
9166,
30,
46506,
3297,
62,
2118,
382,
16034,
3084,
62,
3672,
62,
2414,
33411,
7040,
796,
366,
4869,
1
] | [
1,
1,
1,
1,
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,
3297,
1988,
326,
550,
7040,
286,
9166,
30,
46506,
3297,
62,
2118,
382,
16034,
3084,
62,
3672,
62,
2414,
33411,
7040,
796,
366,
4869,
1
] |
which was the only kolmonen whose movements were promoted ? | SELECT "season" FROM table_204_974 WHERE "movements" = 'promoted' | [
4758,
373,
262,
691,
479,
349,
2144,
268,
3025,
8650,
547,
13722,
5633,
46506,
366,
6230,
1,
16034,
3084,
62,
18638,
62,
24,
4524,
33411,
366,
21084,
902,
1,
796,
705,
16963,
5191,
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
] | [
4758,
373,
262,
691,
479,
349,
2144,
268,
3025,
8650,
547,
13722,
5633,
46506,
366,
6230,
1,
16034,
3084,
62,
18638,
62,
24,
4524,
33411,
366,
21084,
902,
1,
796,
705,
16963,
5191,
6
] |
Which January has a Score of 7 4, and a Game smaller than 42? | SELECT SUM("January") FROM table_75647 WHERE "Score" = '7–4' AND "Game" < '42' | [
13828,
3269,
468,
257,
15178,
286,
767,
604,
11,
290,
257,
3776,
4833,
621,
5433,
30,
46506,
35683,
7203,
21339,
4943,
16034,
3084,
62,
2425,
33981,
33411,
366,
26595,
1,
796,
705,
22,
1906,
19,
6,
5357,
366,
8777,
1,
1279,
705,
368... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3269,
468,
257,
15178,
286,
767,
604,
11,
290,
257,
3776,
4833,
621,
5433,
30,
46506,
35683,
7203,
21339,
4943,
16034,
3084,
62,
2425,
33981,
33411,
366,
26595,
1,
796,
705,
22,
1906,
19,
6,
5357,
366,
8777,
1,
1279,
705,
368... |
which vehicles got best time of day 1:17.17 | SELECT vehicle FROM table_20090682_4 WHERE best_time_of_day = "1:17.17" | [
4758,
5672,
1392,
1266,
640,
286,
1110,
352,
25,
1558,
13,
1558,
46506,
4038,
16034,
3084,
62,
2167,
3829,
43950,
62,
19,
33411,
1266,
62,
2435,
62,
1659,
62,
820,
796,
366,
16,
25,
1558,
13,
1558,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5672,
1392,
1266,
640,
286,
1110,
352,
25,
1558,
13,
1558,
46506,
4038,
16034,
3084,
62,
2167,
3829,
43950,
62,
19,
33411,
1266,
62,
2435,
62,
1659,
62,
820,
796,
366,
16,
25,
1558,
13,
1558,
1
] |
What Petrol engine has total power of ps (kw; bhp)@5400-6500? | SELECT model FROM table_21154679_1 WHERE max_power = "PS (kW; bhp)@5400-6500" | [
2061,
4767,
3225,
3113,
468,
2472,
1176,
286,
26692,
357,
46265,
26,
275,
24831,
8,
31,
4051,
405,
12,
2996,
405,
30,
46506,
2746,
16034,
3084,
62,
21895,
4051,
37601,
62,
16,
33411,
3509,
62,
6477,
796,
366,
3705,
357,
74,
54,
26,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4767,
3225,
3113,
468,
2472,
1176,
286,
26692,
357,
46265,
26,
275,
24831,
8,
31,
4051,
405,
12,
2996,
405,
30,
46506,
2746,
16034,
3084,
62,
21895,
4051,
37601,
62,
16,
33411,
3509,
62,
6477,
796,
366,
3705,
357,
74,
54,
26,
... |
Which owner has 84 seats? | SELECT "Owner" FROM table_38857 WHERE "Seats" = '84' | [
13828,
4870,
468,
9508,
8632,
30,
46506,
366,
42419,
1,
16034,
3084,
62,
30460,
3553,
33411,
366,
4653,
1381,
1,
796,
705,
5705,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4870,
468,
9508,
8632,
30,
46506,
366,
42419,
1,
16034,
3084,
62,
30460,
3553,
33411,
366,
4653,
1381,
1,
796,
705,
5705,
6
] |
For all employees who have the letters D or S in their first name, a scatter chart shows the correlation between commission_pct and manager_id . | SELECT COMMISSION_PCT, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
257,
41058,
8262,
2523,
262,
16096,
1022,
5810,
62,
79,
310,
290,
4706,
62,
312,
764,
46506,
22240,
40373,
62,
47,
4177,
11,
17254,
4760,
1137,
62,
2389,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
257,
41058,
8262,
2523,
262,
16096,
1022,
5810,
62,
79,
310,
290,
4706,
62,
312,
764,
46506,
22240,
40373,
62,
47,
4177,
11,
17254,
4760,
1137,
62,
2389,
... |
List the name and the number of enrolled student for each course in a bar chart, and could you show in desc by the X-axis? | SELECT course_name, COUNT(*) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name ORDER BY course_name DESC | [
8053,
262,
1438,
290,
262,
1271,
286,
18724,
3710,
329,
1123,
1781,
287,
257,
2318,
8262,
11,
290,
714,
345,
905,
287,
1715,
416,
262,
1395,
12,
22704,
30,
46506,
1781,
62,
3672,
11,
327,
28270,
7,
28104,
16034,
2734,
8448,
7054,
30... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
8053,
262,
1438,
290,
262,
1271,
286,
18724,
3710,
329,
1123,
1781,
287,
257,
2318,
8262,
11,
290,
714,
345,
905,
287,
1715,
416,
262,
1395,
12,
22704,
30,
46506,
1781,
62,
3672,
11,
327,
28270,
7,
28104,
16034,
2734,
8448,
7054,
30... |
What is the lap total for the grid under 15 that retired due to transmission? | SELECT SUM(laps) FROM table_name_65 WHERE grid < 15 AND time_retired = "transmission" | [
2061,
318,
262,
14779,
2472,
329,
262,
10706,
739,
1315,
326,
9880,
2233,
284,
11478,
30,
46506,
35683,
7,
75,
1686,
8,
16034,
3084,
62,
3672,
62,
2996,
33411,
10706,
1279,
1315,
5357,
640,
62,
1186,
1202,
796,
366,
7645,
3411,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14779,
2472,
329,
262,
10706,
739,
1315,
326,
9880,
2233,
284,
11478,
30,
46506,
35683,
7,
75,
1686,
8,
16034,
3084,
62,
3672,
62,
2996,
33411,
10706,
1279,
1315,
5357,
640,
62,
1186,
1202,
796,
366,
7645,
3411,
1
] |
How many rounds did shirley van der lof go? | SELECT rounds FROM table_name_46 WHERE driver = "shirley van der lof" | [
2437,
867,
9196,
750,
427,
343,
1636,
5719,
4587,
300,
1659,
467,
30,
46506,
9196,
16034,
3084,
62,
3672,
62,
3510,
33411,
4639,
796,
366,
1477,
343,
1636,
5719,
4587,
300,
1659,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9196,
750,
427,
343,
1636,
5719,
4587,
300,
1659,
467,
30,
46506,
9196,
16034,
3084,
62,
3672,
62,
3510,
33411,
4639,
796,
366,
1477,
343,
1636,
5719,
4587,
300,
1659,
1
] |
What are the different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment type Visualize by bar chart, and I want to rank from low to high by the total number of enrollment please. | SELECT Affiliation, SUM(Enrollment) FROM university WHERE Founded > 1850 GROUP BY Affiliation ORDER BY SUM(Enrollment) | [
2061,
389,
262,
1180,
8349,
602,
11,
290,
644,
318,
262,
2472,
20753,
286,
4266,
9393,
706,
35745,
329,
1123,
20753,
2099,
15612,
1096,
416,
2318,
8262,
11,
290,
314,
765,
284,
4279,
422,
1877,
284,
1029,
416,
262,
2472,
1271,
286,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
389,
262,
1180,
8349,
602,
11,
290,
644,
318,
262,
2472,
20753,
286,
4266,
9393,
706,
35745,
329,
1123,
20753,
2099,
15612,
1096,
416,
2318,
8262,
11,
290,
314,
765,
284,
4279,
422,
1877,
284,
1029,
416,
262,
2472,
1271,
286,
... |
Name the number of tn seshan values for kr values is 478608 | SELECT COUNT(tn_seshan__values_) FROM table_22897453_1 WHERE kr_narayanan__values_ = 478608 | [
5376,
262,
1271,
286,
256,
77,
264,
5069,
272,
3815,
329,
479,
81,
3815,
318,
604,
3695,
28688,
46506,
327,
28270,
7,
34106,
62,
82,
5069,
272,
834,
27160,
62,
8,
16034,
3084,
62,
1828,
4531,
22,
36625,
62,
16,
33411,
479,
81,
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
] | [
5376,
262,
1271,
286,
256,
77,
264,
5069,
272,
3815,
329,
479,
81,
3815,
318,
604,
3695,
28688,
46506,
327,
28270,
7,
34106,
62,
82,
5069,
272,
834,
27160,
62,
8,
16034,
3084,
62,
1828,
4531,
22,
36625,
62,
16,
33411,
479,
81,
62,... |
Who is the incumbent who was first elected before 2002 from the maryland 3 district? | SELECT incumbent FROM table_name_41 WHERE first_elected < 2002 AND district = "maryland 3" | [
8241,
318,
262,
23526,
508,
373,
717,
7018,
878,
6244,
422,
262,
285,
560,
1044,
513,
4783,
30,
46506,
23526,
16034,
3084,
62,
3672,
62,
3901,
33411,
717,
62,
28604,
1279,
6244,
5357,
4783,
796,
366,
6874,
1044,
513,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
318,
262,
23526,
508,
373,
717,
7018,
878,
6244,
422,
262,
285,
560,
1044,
513,
4783,
30,
46506,
23526,
16034,
3084,
62,
3672,
62,
3901,
33411,
717,
62,
28604,
1279,
6244,
5357,
4783,
796,
366,
6874,
1044,
513,
1
] |
Name the number of colleges for jerome pathon | SELECT COUNT("College") FROM table_3978 WHERE "Player" = 'Jerome Pathon' | [
5376,
262,
1271,
286,
15273,
329,
13665,
462,
3108,
261,
46506,
327,
28270,
7203,
38951,
4943,
16034,
3084,
62,
2670,
3695,
33411,
366,
14140,
1,
796,
705,
36134,
462,
10644,
261,
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
] | [
5376,
262,
1271,
286,
15273,
329,
13665,
462,
3108,
261,
46506,
327,
28270,
7203,
38951,
4943,
16034,
3084,
62,
2670,
3695,
33411,
366,
14140,
1,
796,
705,
36134,
462,
10644,
261,
6
] |
what is the number of the episode in the season that had 7.19 millions of north american viewers? | SELECT "Season #" FROM table_30103 WHERE "U.S. viewers (millions)" = '7.19' | [
10919,
318,
262,
1271,
286,
262,
4471,
287,
262,
1622,
326,
550,
767,
13,
1129,
5242,
286,
5093,
45630,
272,
10209,
30,
46506,
366,
18960,
1303,
1,
16034,
3084,
62,
18938,
3070,
33411,
366,
52,
13,
50,
13,
10209,
357,
17805,
507,
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
] | [
10919,
318,
262,
1271,
286,
262,
4471,
287,
262,
1622,
326,
550,
767,
13,
1129,
5242,
286,
5093,
45630,
272,
10209,
30,
46506,
366,
18960,
1303,
1,
16034,
3084,
62,
18938,
3070,
33411,
366,
52,
13,
50,
13,
10209,
357,
17805,
507,
16... |
What is the highest number of losses with 25 points? | SELECT MAX("Lost") FROM table_56154 WHERE "Points" = '25' | [
2061,
318,
262,
4511,
1271,
286,
9089,
351,
1679,
2173,
30,
46506,
25882,
7203,
31042,
4943,
16034,
3084,
62,
3980,
21526,
33411,
366,
40710,
1,
796,
705,
1495,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4511,
1271,
286,
9089,
351,
1679,
2173,
30,
46506,
25882,
7203,
31042,
4943,
16034,
3084,
62,
3980,
21526,
33411,
366,
40710,
1,
796,
705,
1495,
6
] |
What's the world ranking in 2011 having more than 142 countries sampled, and more than a 3 for ranking in Latin America? | SELECT world_ranking__1_ FROM table_name_87 WHERE year_of_publication = "2011" AND ranking_in_latin_america__2_ > 3 AND countries_sampled > 142 | [
2061,
338,
262,
995,
12759,
287,
2813,
1719,
517,
621,
25181,
2678,
35846,
11,
290,
517,
621,
257,
513,
329,
12759,
287,
9133,
2253,
30,
46506,
995,
62,
28405,
834,
16,
62,
16034,
3084,
62,
3672,
62,
5774,
33411,
614,
62,
1659,
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,
338,
262,
995,
12759,
287,
2813,
1719,
517,
621,
25181,
2678,
35846,
11,
290,
517,
621,
257,
513,
329,
12759,
287,
9133,
2253,
30,
46506,
995,
62,
28405,
834,
16,
62,
16034,
3084,
62,
3672,
62,
5774,
33411,
614,
62,
1659,
62,
... |
Which player has a s wicket at 48? | SELECT player FROM table_name_84 WHERE s_wicket = "48" | [
13828,
2137,
468,
257,
264,
266,
9715,
379,
4764,
30,
46506,
2137,
16034,
3084,
62,
3672,
62,
5705,
33411,
264,
62,
86,
9715,
796,
366,
2780,
1
] | [
1,
1,
1,
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,
468,
257,
264,
266,
9715,
379,
4764,
30,
46506,
2137,
16034,
3084,
62,
3672,
62,
5705,
33411,
264,
62,
86,
9715,
796,
366,
2780,
1
] |
on their last hospital visit, what is the name of the organism found first blood culture microbiology test of patient 23721? | SELECT microbiologyevents.org_name FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23721 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND microbiologyevents.spec_type_desc = 'blood culture' AND NOT m... | [
261,
511,
938,
4436,
3187,
11,
644,
318,
262,
1438,
286,
262,
26433,
1043,
717,
2910,
3968,
24559,
1435,
1332,
286,
5827,
34385,
2481,
30,
46506,
24559,
1435,
31534,
13,
2398,
62,
3672,
16034,
24559,
1435,
31534,
33411,
24559,
1435,
315... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
261,
511,
938,
4436,
3187,
11,
644,
318,
262,
1438,
286,
262,
26433,
1043,
717,
2910,
3968,
24559,
1435,
1332,
286,
5827,
34385,
2481,
30,
46506,
24559,
1435,
31534,
13,
2398,
62,
3672,
16034,
24559,
1435,
31534,
33411,
24559,
1435,
315... |
Which week has the lowest attendance of 48,102? | SELECT MIN("Week") FROM table_57554 WHERE "Attendance" = '48,102' | [
13828,
1285,
468,
262,
9016,
14858,
286,
4764,
11,
15377,
30,
46506,
20625,
7203,
20916,
4943,
16034,
3084,
62,
36189,
4051,
33411,
366,
8086,
437,
590,
1,
796,
705,
2780,
11,
15377,
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,
1285,
468,
262,
9016,
14858,
286,
4764,
11,
15377,
30,
46506,
20625,
7203,
20916,
4943,
16034,
3084,
62,
36189,
4051,
33411,
366,
8086,
437,
590,
1,
796,
705,
2780,
11,
15377,
6
] |
calculate the minimum age of female newborn admitted patients. | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_type = "NEWBORN" | [
9948,
3129,
378,
262,
5288,
2479,
286,
4048,
23856,
6848,
3871,
13,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
324,
3411,
62,
4906,
796,
366,
13965,
33,
30649,
1
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5288,
2479,
286,
4048,
23856,
6848,
3871,
13,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
324,
3411,
62,
4906,
796,
366,
13965,
33,
30649,
1
... |
Name the 2010 for 2012 grand slam tournaments | SELECT "2010" FROM table_10848 WHERE "2012" = 'grand slam tournaments' | [
5376,
262,
3050,
329,
2321,
4490,
21158,
18130,
46506,
366,
10333,
1,
16034,
3084,
62,
15711,
2780,
33411,
366,
6999,
1,
796,
705,
23936,
21158,
18130,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
3050,
329,
2321,
4490,
21158,
18130,
46506,
366,
10333,
1,
16034,
3084,
62,
15711,
2780,
33411,
366,
6999,
1,
796,
705,
23936,
21158,
18130,
6
] |
What year is guard Mario Chalmers? | SELECT year FROM table_name_53 WHERE position = "guard" AND name = "mario chalmers" | [
2061,
614,
318,
4860,
10682,
30529,
11056,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
4310,
33411,
2292,
796,
366,
14864,
1,
5357,
1438,
796,
366,
3876,
952,
442,
282,
11056,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
318,
4860,
10682,
30529,
11056,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
4310,
33411,
2292,
796,
366,
14864,
1,
5357,
1438,
796,
366,
3876,
952,
442,
282,
11056,
1
] |
Valmir Benavides won pole position at which circuit? | SELECT circuit FROM table_29361707_2 WHERE pole_position = "Valmir Benavides" | [
7762,
10793,
3932,
615,
1460,
1839,
16825,
2292,
379,
543,
10349,
30,
46506,
10349,
16034,
3084,
62,
1959,
2623,
1558,
2998,
62,
17,
33411,
16825,
62,
9150,
796,
366,
7762,
10793,
3932,
615,
1460,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
7762,
10793,
3932,
615,
1460,
1839,
16825,
2292,
379,
543,
10349,
30,
46506,
10349,
16034,
3084,
62,
1959,
2623,
1558,
2998,
62,
17,
33411,
16825,
62,
9150,
796,
366,
7762,
10793,
3932,
615,
1460,
1
] |
since 2105 what is the first hospital admission type of patient 022-134034? | SELECT patient.hospitaladmitsource FROM patient WHERE patient.uniquepid = '022-134034' AND STRFTIME('%y', patient.hospitaladmittime) >= '2105' ORDER BY patient.hospitaladmittime LIMIT 1 | [
20777,
362,
13348,
644,
318,
262,
717,
4436,
13938,
2099,
286,
5827,
657,
1828,
12,
1485,
1821,
2682,
30,
46506,
5827,
13,
49257,
324,
24883,
1668,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44087,
12,
1485,
1821,
26... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
20777,
362,
13348,
644,
318,
262,
717,
4436,
13938,
2099,
286,
5827,
657,
1828,
12,
1485,
1821,
2682,
30,
46506,
5827,
13,
49257,
324,
24883,
1668,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
44087,
12,
1485,
1821,
26... |
what is the top four prescription drugs among the patients with an age 50s in this year? | SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 50 AND 59) AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(... | [
10919,
318,
262,
1353,
1440,
15077,
5010,
1871,
262,
3871,
351,
281,
2479,
2026,
82,
287,
428,
614,
30,
46506,
256,
16,
13,
30349,
3672,
16034,
357,
46506,
14103,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1353,
1440,
15077,
5010,
1871,
262,
3871,
351,
281,
2479,
2026,
82,
287,
428,
614,
30,
46506,
256,
16,
13,
30349,
3672,
16034,
357,
46506,
14103,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532... |
What are the dates that have an average sea level pressure between 303 and 31, and count them by a line chart, order in desc by the date. | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 GROUP BY date ORDER BY date DESC | [
2061,
389,
262,
9667,
326,
423,
281,
2811,
5417,
1241,
3833,
1022,
30727,
290,
3261,
11,
290,
954,
606,
416,
257,
1627,
8262,
11,
1502,
287,
1715,
416,
262,
3128,
13,
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,
9667,
326,
423,
281,
2811,
5417,
1241,
3833,
1022,
30727,
290,
3261,
11,
290,
954,
606,
416,
257,
1627,
8262,
11,
1502,
287,
1715,
416,
262,
3128,
13,
46506,
3128,
11,
327,
28270,
7,
4475,
8,
16034,
6193,
33411,
1612... |
What is the average Points when the engine was a climax straight-4 earlier than 1958? | SELECT AVG(points) FROM table_name_4 WHERE engine = "climax straight-4" AND year < 1958 | [
2061,
318,
262,
2811,
11045,
618,
262,
3113,
373,
257,
30032,
3892,
12,
19,
2961,
621,
24648,
30,
46506,
35224,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
19,
33411,
3113,
796,
366,
565,
320,
897,
3892,
12,
19,
1,
5357,
614,
1279,
24... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11045,
618,
262,
3113,
373,
257,
30032,
3892,
12,
19,
2961,
621,
24648,
30,
46506,
35224,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
19,
33411,
3113,
796,
366,
565,
320,
897,
3892,
12,
19,
1,
5357,
614,
1279,
24... |
First closures for each close reason type. | SELECT crt.Name AS "close_reason_name", Comment AS "close_reason_id", PostId AS "post_link", CreationDate AS "closed_date" FROM PostHistory LEFT JOIN CloseReasonTypes AS crt ON crt.Id = Comment WHERE PostHistoryTypeId = 10 ORDER BY CAST(Comment AS INT) | [
5962,
32149,
329,
1123,
1969,
1738,
2099,
13,
46506,
1067,
83,
13,
5376,
7054,
366,
19836,
62,
41181,
62,
3672,
1600,
18957,
7054,
366,
19836,
62,
41181,
62,
312,
1600,
2947,
7390,
7054,
366,
7353,
62,
8726,
1600,
21582,
10430,
7054,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
5962,
32149,
329,
1123,
1969,
1738,
2099,
13,
46506,
1067,
83,
13,
5376,
7054,
366,
19836,
62,
41181,
62,
3672,
1600,
18957,
7054,
366,
19836,
62,
41181,
62,
312,
1600,
2947,
7390,
7054,
366,
7353,
62,
8726,
1600,
21582,
10430,
7054,
... |
Give me a scatter chart that groups acc road, the x-axis is team id and the y-axis is All_Games_Percent. | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Road | [
23318,
502,
257,
41058,
8262,
326,
2628,
697,
2975,
11,
262,
2124,
12,
22704,
318,
1074,
4686,
290,
262,
331,
12,
22704,
318,
1439,
62,
24474,
62,
31905,
13,
46506,
4816,
62,
2389,
11,
1439,
62,
24474,
62,
31905,
16034,
9669,
62,
15... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
502,
257,
41058,
8262,
326,
2628,
697,
2975,
11,
262,
2124,
12,
22704,
318,
1074,
4686,
290,
262,
331,
12,
22704,
318,
1439,
62,
24474,
62,
31905,
13,
46506,
4816,
62,
2389,
11,
1439,
62,
24474,
62,
31905,
16034,
9669,
62,
15... |
get fares from WASHINGTON to BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOS... | [
1136,
33164,
422,
370,
19436,
284,
347,
10892,
1340,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
33164,
422,
370,
19436,
284,
347,
10892,
1340,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389... |
What is the lowest number of draws with more than 2 byes? | SELECT MIN(draws) FROM table_name_81 WHERE byes > 2 | [
2061,
318,
262,
9016,
1271,
286,
14293,
351,
517,
621,
362,
416,
274,
30,
46506,
20625,
7,
19334,
82,
8,
16034,
3084,
62,
3672,
62,
6659,
33411,
416,
274,
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,
1
] | [
2061,
318,
262,
9016,
1271,
286,
14293,
351,
517,
621,
362,
416,
274,
30,
46506,
20625,
7,
19334,
82,
8,
16034,
3084,
62,
3672,
62,
6659,
33411,
416,
274,
1875,
362
] |
Are there many sections of AUTO 590 after 10 A.M. ? | SELECT COUNT(*) FROM course, course_offering, semester WHERE course_offering.start_time > '10:00:00' AND course.course_id = course_offering.course_id AND course.department = 'AUTO' AND course.number = 590 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | [
8491,
612,
867,
9004,
286,
47044,
46,
642,
3829,
706,
838,
317,
13,
44,
13,
5633,
46506,
327,
28270,
7,
28104,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
24878,
33411,
1781,
62,
2364,
1586,
13,
9688,
62,
2435,
1875,
705,
940,
25,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
8491,
612,
867,
9004,
286,
47044,
46,
642,
3829,
706,
838,
317,
13,
44,
13,
5633,
46506,
327,
28270,
7,
28104,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
24878,
33411,
1781,
62,
2364,
1586,
13,
9688,
62,
2435,
1875,
705,
940,
25,
... |
What is the df when Adam Hinshelwood is Junior Mendes? | SELECT "DF" FROM table_26362 WHERE "Adam Hinshelwood" = 'Junior Mendes' | [
2061,
318,
262,
47764,
618,
7244,
367,
1040,
2978,
3822,
318,
20000,
20442,
274,
30,
46506,
366,
8068,
1,
16034,
3084,
62,
2075,
35667,
33411,
366,
23159,
367,
1040,
2978,
3822,
1,
796,
705,
22396,
1504,
20442,
274,
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,
47764,
618,
7244,
367,
1040,
2978,
3822,
318,
20000,
20442,
274,
30,
46506,
366,
8068,
1,
16034,
3084,
62,
2075,
35667,
33411,
366,
23159,
367,
1040,
2978,
3822,
1,
796,
705,
22396,
1504,
20442,
274,
6
] |
count the number of patients whose drug type is base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug_type = "BASE" | [
9127,
262,
1271,
286,
3871,
3025,
2563,
2099,
318,
2779,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
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
] | [
9127,
262,
1271,
286,
3871,
3025,
2563,
2099,
318,
2779,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,... |
how many seasons did kevin gall play for yeovil town ? | SELECT COUNT("season") FROM table_202_295 WHERE "club" = 'yeovil town' | [
4919,
867,
7028,
750,
885,
7114,
7976,
711,
329,
9838,
709,
346,
3240,
5633,
46506,
327,
28270,
7203,
6230,
4943,
16034,
3084,
62,
19004,
62,
25710,
33411,
366,
18664,
1,
796,
705,
5948,
709,
346,
3240,
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
] | [
4919,
867,
7028,
750,
885,
7114,
7976,
711,
329,
9838,
709,
346,
3240,
5633,
46506,
327,
28270,
7203,
6230,
4943,
16034,
3084,
62,
19004,
62,
25710,
33411,
366,
18664,
1,
796,
705,
5948,
709,
346,
3240,
6
] |
what is the number of patients whose admission location is emergency room admit and lab test name is eosinophils? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND lab.label = "Eosinophils" | [
10919,
318,
262,
1271,
286,
3871,
3025,
13938,
4067,
318,
6334,
2119,
9159,
290,
2248,
1332,
1438,
318,
304,
418,
259,
2522,
4487,
30,
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... | [
10919,
318,
262,
1271,
286,
3871,
3025,
13938,
4067,
318,
6334,
2119,
9159,
290,
2248,
1332,
1438,
318,
304,
418,
259,
2522,
4487,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479... |
What is the car with the lowest extinct year that has a NBR class of 32? | SELECT MIN(extinct) FROM table_name_21 WHERE nbr_class = 32 | [
2061,
318,
262,
1097,
351,
262,
9016,
28881,
614,
326,
468,
257,
399,
11473,
1398,
286,
3933,
30,
46506,
20625,
7,
2302,
4612,
8,
16034,
3084,
62,
3672,
62,
2481,
33411,
299,
1671,
62,
4871,
796,
3933
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1097,
351,
262,
9016,
28881,
614,
326,
468,
257,
399,
11473,
1398,
286,
3933,
30,
46506,
20625,
7,
2302,
4612,
8,
16034,
3084,
62,
3672,
62,
2481,
33411,
299,
1671,
62,
4871,
796,
3933
] |
enrolled in a competing study | SELECT * FROM table_train_48 WHERE in_another_study = 1 | [
268,
8375,
287,
257,
11780,
2050,
46506,
1635,
16034,
3084,
62,
27432,
62,
2780,
33411,
287,
62,
29214,
62,
44517,
796,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
268,
8375,
287,
257,
11780,
2050,
46506,
1635,
16034,
3084,
62,
27432,
62,
2780,
33411,
287,
62,
29214,
62,
44517,
796,
352
] |
Top SO users From Netherlands. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%netherlands%' OR UPPER(Location) LIKE '%NETHERLANDS%' OR Location LIKE '%NETHERLANDS%' AND Reputation >= 1000 ORDER BY Reputation DESC | [
9126,
12809,
2985,
3574,
12671,
13,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
7054,
366,
7220,
62,
8726,
1600,
1432,
7094,
16034,
18987,
33411,
406,
36048,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9126,
12809,
2985,
3574,
12671,
13,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
7054,
366,
7220,
62,
8726,
1600,
1432,
7094,
16034,
18987,
33411,
406,
36048,... |
information on flights from PHILADELPHIA to SAN FRANCISCO | 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 = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'S... | [
17018,
319,
13956,
422,
9370,
4146,
2885,
3698,
11909,
3539,
284,
37376,
8782,
20940,
37719,
14058,
16779,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
17018,
319,
13956,
422,
9370,
4146,
2885,
3698,
11909,
3539,
284,
37376,
8782,
20940,
37719,
14058,
16779,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
... |
For those employees who did not have any job in the past, give me the comparison about the average of manager_id over the hire_date bin hire_date by time. | SELECT HIRE_DATE, AVG(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,
1577,
502,
262,
7208,
546,
262,
2811,
286,
4706,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
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,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
4706,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
640,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35... |
What was the date when the attendance was 63995 | SELECT "Date" FROM table_19636 WHERE "Attendance" = '63995' | [
2061,
373,
262,
3128,
618,
262,
14858,
373,
8093,
33438,
46506,
366,
10430,
1,
16034,
3084,
62,
25272,
2623,
33411,
366,
8086,
437,
590,
1,
796,
705,
5066,
33438,
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,
373,
262,
3128,
618,
262,
14858,
373,
8093,
33438,
46506,
366,
10430,
1,
16034,
3084,
62,
25272,
2623,
33411,
366,
8086,
437,
590,
1,
796,
705,
5066,
33438,
6
] |
when patient 028-43966 heartrate first measured until 02/05/2105? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-43966')) AND NOT vitalperiodic.heartrate IS NUL... | [
12518,
5827,
657,
2078,
12,
47106,
2791,
2612,
4873,
717,
8630,
1566,
7816,
14,
2713,
14,
17,
13348,
30,
46506,
9204,
41007,
291,
13,
672,
3168,
341,
2435,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
31712,
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... | [
12518,
5827,
657,
2078,
12,
47106,
2791,
2612,
4873,
717,
8630,
1566,
7816,
14,
2713,
14,
17,
13348,
30,
46506,
9204,
41007,
291,
13,
672,
3168,
341,
2435,
16034,
9204,
41007,
291,
33411,
9204,
41007,
291,
13,
26029,
20850,
31712,
312,
... |
what was the first song that this producer helped write ? | SELECT "title" FROM table_204_927 WHERE id = 1 | [
10919,
373,
262,
717,
3496,
326,
428,
9920,
4193,
3551,
5633,
46506,
366,
7839,
1,
16034,
3084,
62,
18638,
62,
24,
1983,
33411,
4686,
796,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
373,
262,
717,
3496,
326,
428,
9920,
4193,
3551,
5633,
46506,
366,
7839,
1,
16034,
3084,
62,
18638,
62,
24,
1983,
33411,
4686,
796,
352
] |
what are the different software platforms for devices, and how many devices have each?, order in ascending by the the total number please. | SELECT Software_Platform, COUNT(*) FROM device GROUP BY Software_Platform ORDER BY COUNT(*) | [
10919,
389,
262,
1180,
3788,
9554,
329,
4410,
11,
290,
703,
867,
4410,
423,
1123,
21747,
1502,
287,
41988,
416,
262,
262,
2472,
1271,
3387,
13,
46506,
10442,
62,
37148,
11,
327,
28270,
7,
28104,
16034,
3335,
44441,
11050,
10442,
62,
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
] | [
10919,
389,
262,
1180,
3788,
9554,
329,
4410,
11,
290,
703,
867,
4410,
423,
1123,
21747,
1502,
287,
41988,
416,
262,
262,
2472,
1271,
3387,
13,
46506,
10442,
62,
37148,
11,
327,
28270,
7,
28104,
16034,
3335,
44441,
11050,
10442,
62,
3... |
Name the sport for canada in 2004 | SELECT "Sport" FROM table_57280 WHERE "Country" = 'canada' AND "Year" = '2004' | [
5376,
262,
6332,
329,
460,
4763,
287,
5472,
46506,
366,
42576,
1,
16034,
3084,
62,
3553,
21033,
33411,
366,
33921,
1,
796,
705,
5171,
4763,
6,
5357,
366,
17688,
1,
796,
705,
15724,
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
] | [
5376,
262,
6332,
329,
460,
4763,
287,
5472,
46506,
366,
42576,
1,
16034,
3084,
62,
3553,
21033,
33411,
366,
33921,
1,
796,
705,
5171,
4763,
6,
5357,
366,
17688,
1,
796,
705,
15724,
6
] |
What are the names of people in ascending alphabetical order? | SELECT Name FROM People ORDER BY Name | [
2061,
389,
262,
3891,
286,
661,
287,
41988,
24830,
605,
1502,
30,
46506,
6530,
16034,
4380,
38678,
11050,
6530
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
3891,
286,
661,
287,
41988,
24830,
605,
1502,
30,
46506,
6530,
16034,
4380,
38678,
11050,
6530
] |
Low rep users active for > 5 years. | SELECT * FROM Users WHERE CreationDate < DATEADD(yy, -5, GETDATE()) AND Reputation < @reputation | [
20535,
1128,
2985,
4075,
329,
1875,
642,
812,
13,
46506,
1635,
16034,
18987,
33411,
21582,
10430,
1279,
360,
6158,
29266,
7,
22556,
11,
532,
20,
11,
17151,
35,
6158,
28955,
5357,
1432,
7094,
1279,
2488,
260,
1996,
341
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
20535,
1128,
2985,
4075,
329,
1875,
642,
812,
13,
46506,
1635,
16034,
18987,
33411,
21582,
10430,
1279,
360,
6158,
29266,
7,
22556,
11,
532,
20,
11,
17151,
35,
6158,
28955,
5357,
1432,
7094,
1279,
2488,
260,
1996,
341
] |
Which rank has 0 bronze and 2 silver? | SELECT MIN("Gold") FROM table_59948 WHERE "Bronze" = '0' AND "Silver" < '2' | [
13828,
4279,
468,
657,
22101,
290,
362,
8465,
30,
46506,
20625,
7203,
13306,
4943,
16034,
3084,
62,
43452,
2780,
33411,
366,
18760,
2736,
1,
796,
705,
15,
6,
5357,
366,
26766,
1,
1279,
705,
17,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4279,
468,
657,
22101,
290,
362,
8465,
30,
46506,
20625,
7203,
13306,
4943,
16034,
3084,
62,
43452,
2780,
33411,
366,
18760,
2736,
1,
796,
705,
15,
6,
5357,
366,
26766,
1,
1279,
705,
17,
6
] |
find the number of patients whose diagnosis short title was ac on chr syst hrt fail and had lab test for joint fluid. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Ac on chr syst hrt fail" AND lab.fluid = "Joint Fluid" | [
19796,
262,
1271,
286,
3871,
3025,
13669,
1790,
3670,
373,
936,
319,
442,
81,
827,
301,
289,
17034,
2038,
290,
550,
2248,
1332,
329,
6466,
11711,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
19796,
262,
1271,
286,
3871,
3025,
13669,
1790,
3670,
373,
936,
319,
442,
81,
827,
301,
289,
17034,
2038,
290,
550,
2248,
1332,
329,
6466,
11711,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
1... |
What athlete has less than 7 gold and 14 total medals? | SELECT "Athlete" FROM table_58560 WHERE "Gold" < '7' AND "Total" = '14' | [
2061,
16076,
468,
1342,
621,
767,
3869,
290,
1478,
2472,
28057,
30,
46506,
366,
32,
400,
5807,
1,
16034,
3084,
62,
3365,
34135,
33411,
366,
13306,
1,
1279,
705,
22,
6,
5357,
366,
14957,
1,
796,
705,
1415,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
16076,
468,
1342,
621,
767,
3869,
290,
1478,
2472,
28057,
30,
46506,
366,
32,
400,
5807,
1,
16034,
3084,
62,
3365,
34135,
33411,
366,
13306,
1,
1279,
705,
22,
6,
5357,
366,
14957,
1,
796,
705,
1415,
6
] |
What is the built data for number 34? | SELECT "Built" FROM table_17425 WHERE "Number" = '34' | [
2061,
318,
262,
3170,
1366,
329,
1271,
4974,
30,
46506,
366,
39582,
1,
16034,
3084,
62,
22985,
1495,
33411,
366,
15057,
1,
796,
705,
2682,
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
] | [
2061,
318,
262,
3170,
1366,
329,
1271,
4974,
30,
46506,
366,
39582,
1,
16034,
3084,
62,
22985,
1495,
33411,
366,
15057,
1,
796,
705,
2682,
6
] |
Find All_Home and Team_ID , and group by attribute ACC_Home, and visualize them by a bar chart. | SELECT All_Home, Team_ID FROM basketball_match GROUP BY ACC_Home, All_Home | [
16742,
1439,
62,
16060,
290,
4816,
62,
2389,
837,
290,
1448,
416,
11688,
15859,
62,
16060,
11,
290,
38350,
606,
416,
257,
2318,
8262,
13,
46506,
1439,
62,
16060,
11,
4816,
62,
2389,
16034,
9669,
62,
15699,
44441,
11050,
15859,
62,
160... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
1439,
62,
16060,
290,
4816,
62,
2389,
837,
290,
1448,
416,
11688,
15859,
62,
16060,
11,
290,
38350,
606,
416,
257,
2318,
8262,
13,
46506,
1439,
62,
16060,
11,
4816,
62,
2389,
16034,
9669,
62,
15699,
44441,
11050,
15859,
62,
160... |
Which league has an FA cup greater than 0, with a total greater than 21? | SELECT league FROM table_name_76 WHERE fa_cup > 0 AND total > 21 | [
13828,
4652,
468,
281,
9677,
6508,
3744,
621,
657,
11,
351,
257,
2472,
3744,
621,
2310,
30,
46506,
4652,
16034,
3084,
62,
3672,
62,
4304,
33411,
24685,
62,
25244,
1875,
657,
5357,
2472,
1875,
2310
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
4652,
468,
281,
9677,
6508,
3744,
621,
657,
11,
351,
257,
2472,
3744,
621,
2310,
30,
46506,
4652,
16034,
3084,
62,
3672,
62,
4304,
33411,
24685,
62,
25244,
1875,
657,
5357,
2472,
1875,
2310
] |
what is the giro wins when jerseys is 2, country is portugal and young rider is more than 0? | SELECT SUM("Giro wins") FROM table_65195 WHERE "Jerseys" = '2' AND "Country" = 'portugal' AND "Young rider" > '0' | [
10919,
318,
262,
308,
7058,
7864,
618,
36354,
318,
362,
11,
1499,
318,
2493,
43778,
290,
1862,
17876,
318,
517,
621,
657,
30,
46506,
35683,
7203,
38,
7058,
7864,
4943,
16034,
3084,
62,
2996,
22186,
33411,
366,
36134,
27717,
1,
796,
70... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
308,
7058,
7864,
618,
36354,
318,
362,
11,
1499,
318,
2493,
43778,
290,
1862,
17876,
318,
517,
621,
657,
30,
46506,
35683,
7203,
38,
7058,
7864,
4943,
16034,
3084,
62,
2996,
22186,
33411,
366,
36134,
27717,
1,
796,
70... |
What Viewers (m) has an Episode of 40 days? | SELECT viewers__m_ FROM table_name_64 WHERE episode = "40 days" | [
2061,
3582,
364,
357,
76,
8,
468,
281,
7922,
286,
2319,
1528,
30,
46506,
10209,
834,
76,
62,
16034,
3084,
62,
3672,
62,
2414,
33411,
4471,
796,
366,
1821,
1528,
1
] | [
1,
1,
1,
1,
1,
1,
1,
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,
3582,
364,
357,
76,
8,
468,
281,
7922,
286,
2319,
1528,
30,
46506,
10209,
834,
76,
62,
16034,
3084,
62,
3672,
62,
2414,
33411,
4471,
796,
366,
1821,
1528,
1
] |
Which city has an ICAO of Oejn? | SELECT "City" FROM table_50271 WHERE "ICAO" = 'oejn' | [
13828,
1748,
468,
281,
314,
8141,
46,
286,
440,
68,
73,
77,
30,
46506,
366,
14941,
1,
16034,
3084,
62,
1120,
28977,
33411,
366,
25241,
46,
1,
796,
705,
2577,
73,
77,
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,
1748,
468,
281,
314,
8141,
46,
286,
440,
68,
73,
77,
30,
46506,
366,
14941,
1,
16034,
3084,
62,
1120,
28977,
33411,
366,
25241,
46,
1,
796,
705,
2577,
73,
77,
6
] |
What was the method for the UFC Fight Night 10 event? | SELECT method FROM table_name_11 WHERE event = "ufc fight night 10" | [
2061,
373,
262,
2446,
329,
262,
11448,
10480,
5265,
838,
1785,
30,
46506,
2446,
16034,
3084,
62,
3672,
62,
1157,
33411,
1785,
796,
366,
3046,
66,
1907,
1755,
838,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
2446,
329,
262,
11448,
10480,
5265,
838,
1785,
30,
46506,
2446,
16034,
3084,
62,
3672,
62,
1157,
33411,
1785,
796,
366,
3046,
66,
1907,
1755,
838,
1
] |
Who lost 2 and had a position bigger than 1? | SELECT name FROM table_name_75 WHERE lost = 2 AND position > 1 | [
8241,
2626,
362,
290,
550,
257,
2292,
5749,
621,
352,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
2425,
33411,
2626,
796,
362,
5357,
2292,
1875,
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
] | [
8241,
2626,
362,
290,
550,
257,
2292,
5749,
621,
352,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
2425,
33411,
2626,
796,
362,
5357,
2292,
1875,
352
] |
On which date was the record of 43.89 m set? | SELECT date FROM table_name_35 WHERE record = "43.89 m" | [
2202,
543,
3128,
373,
262,
1700,
286,
5946,
13,
4531,
285,
900,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2327,
33411,
1700,
796,
366,
3559,
13,
4531,
285,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2202,
543,
3128,
373,
262,
1700,
286,
5946,
13,
4531,
285,
900,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2327,
33411,
1700,
796,
366,
3559,
13,
4531,
285,
1
] |
what are the three most common procedures that followed in the same month for patients who were given a colloid administration - hydroxyethylstarch until 2 years ago? | SELECT t3.treatmentname FROM (SELECT t2.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'colloid administration - hydroxyethylsta... | [
10919,
389,
262,
1115,
749,
2219,
9021,
326,
3940,
287,
262,
976,
1227,
329,
3871,
508,
547,
1813,
257,
2927,
1868,
3662,
532,
17173,
5431,
21610,
301,
998,
1566,
362,
812,
2084,
30,
46506,
256,
18,
13,
42487,
3672,
16034,
357,
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... | [
10919,
389,
262,
1115,
749,
2219,
9021,
326,
3940,
287,
262,
976,
1227,
329,
3871,
508,
547,
1813,
257,
2927,
1868,
3662,
532,
17173,
5431,
21610,
301,
998,
1566,
362,
812,
2084,
30,
46506,
256,
18,
13,
42487,
3672,
16034,
357,
46506,... |
Top 500 users from Pakistan. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%pakistan%' OR UPPER(Location) LIKE '%PAK' ORDER BY Reputation DESC LIMIT 500 | [
9126,
5323,
2985,
422,
7648,
13,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
7054,
366,
7220,
62,
8726,
1600,
1432,
7094,
16034,
18987,
33411,
406,
36048,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9126,
5323,
2985,
422,
7648,
13,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
7054,
366,
7220,
62,
8726,
1600,
1432,
7094,
16034,
18987,
33411,
406,
36048,
... |
Which Home team has a Game of game 5? | SELECT "Home team" FROM table_49469 WHERE "Game" = 'game 5' | [
13828,
5995,
1074,
468,
257,
3776,
286,
983,
642,
30,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
39449,
3388,
33411,
366,
8777,
1,
796,
705,
6057,
642,
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
] | [
13828,
5995,
1074,
468,
257,
3776,
286,
983,
642,
30,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
39449,
3388,
33411,
366,
8777,
1,
796,
705,
6057,
642,
6
] |
How many games did the Club that has a try bonus of 4 and 391 points against play ? | SELECT played FROM table_name_21 WHERE try_bonus = "4" AND points_against = "391" | [
2437,
867,
1830,
750,
262,
6289,
326,
468,
257,
1949,
7202,
286,
604,
290,
5014,
16,
2173,
1028,
711,
5633,
46506,
2826,
16034,
3084,
62,
3672,
62,
2481,
33411,
1949,
62,
4189,
385,
796,
366,
19,
1,
5357,
2173,
62,
32826,
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
] | [
2437,
867,
1830,
750,
262,
6289,
326,
468,
257,
1949,
7202,
286,
604,
290,
5014,
16,
2173,
1028,
711,
5633,
46506,
2826,
16034,
3084,
62,
3672,
62,
2481,
33411,
1949,
62,
4189,
385,
796,
366,
19,
1,
5357,
2173,
62,
32826,
796,
366,
... |
What is the exact number of Total that has a percentage of precisely 12.03%? | SELECT COUNT("Total") FROM table_11347 WHERE "Percentage" = '12.03%' | [
2061,
318,
262,
2748,
1271,
286,
7472,
326,
468,
257,
5873,
286,
10582,
1105,
13,
3070,
4,
30,
46506,
327,
28270,
7203,
14957,
4943,
16034,
3084,
62,
1157,
30995,
33411,
366,
31905,
496,
1,
796,
705,
1065,
13,
3070,
4,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2748,
1271,
286,
7472,
326,
468,
257,
5873,
286,
10582,
1105,
13,
3070,
4,
30,
46506,
327,
28270,
7203,
14957,
4943,
16034,
3084,
62,
1157,
30995,
33411,
366,
31905,
496,
1,
796,
705,
1065,
13,
3070,
4,
6
] |
how many hours has it been since the first time patient 027-142451 stayed in ward 966 during this hospital visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '027-142451' AND patient.wardid = 966 AND patient.hospitaldischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1 | [
4919,
867,
2250,
468,
340,
587,
1201,
262,
717,
640,
5827,
657,
1983,
12,
1415,
1731,
4349,
9658,
287,
15305,
860,
2791,
1141,
428,
4436,
3187,
30,
46506,
1987,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
2250,
468,
340,
587,
1201,
262,
717,
640,
5827,
657,
1983,
12,
1415,
1731,
4349,
9658,
287,
15305,
860,
2791,
1141,
428,
4436,
3187,
30,
46506,
1987,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,... |
what was the only year she competed in kenya ? | SELECT "year" FROM table_204_364 WHERE "venue" = 'kenya' | [
10919,
373,
262,
691,
614,
673,
32440,
287,
479,
268,
3972,
5633,
46506,
366,
1941,
1,
16034,
3084,
62,
18638,
62,
26780,
33411,
366,
4080,
1,
796,
705,
3464,
3972,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
373,
262,
691,
614,
673,
32440,
287,
479,
268,
3972,
5633,
46506,
366,
1941,
1,
16034,
3084,
62,
18638,
62,
26780,
33411,
366,
4080,
1,
796,
705,
3464,
3972,
6
] |
In what season was the winner Dado Dolabella? | SELECT MAX(season) FROM table_25214321_1 WHERE winner = "Dado Dolabella" | [
818,
644,
1622,
373,
262,
8464,
360,
4533,
25143,
43653,
30,
46506,
25882,
7,
6230,
8,
16034,
3084,
62,
22800,
21139,
2481,
62,
16,
33411,
8464,
796,
366,
35,
4533,
25143,
43653,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
818,
644,
1622,
373,
262,
8464,
360,
4533,
25143,
43653,
30,
46506,
25882,
7,
6230,
8,
16034,
3084,
62,
22800,
21139,
2481,
62,
16,
33411,
8464,
796,
366,
35,
4533,
25143,
43653,
1
] |
how long was huang le 's longest jump in 2002 ? | SELECT "notes" FROM table_204_706 WHERE "year" = 2002 ORDER BY "notes" DESC LIMIT 1 | [
4919,
890,
373,
289,
84,
648,
443,
705,
82,
14069,
4391,
287,
6244,
5633,
46506,
366,
17815,
1,
16034,
3084,
62,
18638,
62,
35402,
33411,
366,
1941,
1,
796,
6244,
38678,
11050,
366,
17815,
1,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
890,
373,
289,
84,
648,
443,
705,
82,
14069,
4391,
287,
6244,
5633,
46506,
366,
17815,
1,
16034,
3084,
62,
18638,
62,
35402,
33411,
366,
1941,
1,
796,
6244,
38678,
11050,
366,
17815,
1,
22196,
34,
27564,
2043,
352
] |
Of all the upper-level classes , which ones have 1 credits ? | 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 = 1 AND program_course.category LIKE 'ULCS' | [
5189,
477,
262,
6727,
12,
5715,
6097,
837,
543,
3392,
423,
352,
10824,
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,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
5189,
477,
262,
6727,
12,
5715,
6097,
837,
543,
3392,
423,
352,
10824,
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,
1... |
look for the number of patients with abnormal lab tests diagnosed with secondary neuroendocrine tumor of bone. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Secondary neuroendocrine tumor of bone" AND lab.flag = "abnormal" | [
5460,
329,
262,
1271,
286,
3871,
351,
18801,
2248,
5254,
14641,
351,
9233,
7669,
437,
38658,
22359,
286,
9970,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
5460,
329,
262,
1271,
286,
3871,
351,
18801,
2248,
5254,
14641,
351,
9233,
7669,
437,
38658,
22359,
286,
9970,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
... |
Dump answers to questions for user. | SELECT q.Id, q.CreationDate, q.Title, q.Body, a.Id, a.CreationDate, a.Body FROM Posts AS q INNER JOIN Posts AS a ON q.Id = a.ParentId AND a.PostTypeId = 2 AND q.PostTypeId = 1 WHERE a.OwnerUserId = '##UserId##' ORDER BY a.Id DESC | [
35,
931,
7429,
284,
2683,
329,
2836,
13,
46506,
10662,
13,
7390,
11,
10662,
13,
12443,
341,
10430,
11,
10662,
13,
19160,
11,
10662,
13,
25842,
11,
257,
13,
7390,
11,
257,
13,
12443,
341,
10430,
11,
257,
13,
25842,
16034,
12043,
7054... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
35,
931,
7429,
284,
2683,
329,
2836,
13,
46506,
10662,
13,
7390,
11,
10662,
13,
12443,
341,
10430,
11,
10662,
13,
19160,
11,
10662,
13,
25842,
11,
257,
13,
7390,
11,
257,
13,
12443,
341,
10430,
11,
257,
13,
25842,
16034,
12043,
7054... |
List all the locations where net capacity is 950? | SELECT location_chernobyl_1_chernobyl_2_chernobyl_3_chernobyl_4_chernobyl_5_ignalina_1_ignalina_2_ignalina_3_kursk_1_kursk_2_kursk_3_kursk_4_kursk_5_kursk_6_leningrad_1_leningrad_2_leningrad_3_leningrad_4_smolensk_1_smolensk_2_smolensk_3_smolensk_4_directorate_for_construction_of_kostoma_npp__for_kostroma_1_and_2__tabl... | [
8053,
477,
262,
7064,
810,
2010,
5339,
318,
38384,
30,
46506,
4067,
62,
2044,
34952,
2645,
62,
16,
62,
2044,
34952,
2645,
62,
17,
62,
2044,
34952,
2645,
62,
18,
62,
2044,
34952,
2645,
62,
19,
62,
2044,
34952,
2645,
62,
20,
62,
570... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
8053,
477,
262,
7064,
810,
2010,
5339,
318,
38384,
30,
46506,
4067,
62,
2044,
34952,
2645,
62,
16,
62,
2044,
34952,
2645,
62,
17,
62,
2044,
34952,
2645,
62,
18,
62,
2044,
34952,
2645,
62,
19,
62,
2044,
34952,
2645,
62,
20,
62,
570... |
How many silver medals did spain have when they had more than 0 bronze medals and less than 54 total medals? | SELECT silver FROM table_name_7 WHERE bronze > 0 AND total < 54 AND nation = "spain" | [
2437,
867,
8465,
28057,
750,
599,
391,
423,
618,
484,
550,
517,
621,
657,
22101,
28057,
290,
1342,
621,
7175,
2472,
28057,
30,
46506,
8465,
16034,
3084,
62,
3672,
62,
22,
33411,
22101,
1875,
657,
5357,
2472,
1279,
7175,
5357,
3277,
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
] | [
2437,
867,
8465,
28057,
750,
599,
391,
423,
618,
484,
550,
517,
621,
657,
22101,
28057,
290,
1342,
621,
7175,
2472,
28057,
30,
46506,
8465,
16034,
3084,
62,
3672,
62,
22,
33411,
22101,
1875,
657,
5357,
2472,
1279,
7175,
5357,
3277,
79... |
What's the score when the tie number was 6? | SELECT score FROM table_name_35 WHERE tie_no = "6" | [
2061,
338,
262,
4776,
618,
262,
9839,
1271,
373,
718,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2327,
33411,
9839,
62,
3919,
796,
366,
21,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
338,
262,
4776,
618,
262,
9839,
1271,
373,
718,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2327,
33411,
9839,
62,
3919,
796,
366,
21,
1
] |
Where did Jerry Pate finish? | SELECT "Finish" FROM table_9543 WHERE "Player" = 'jerry pate' | [
8496,
750,
13075,
350,
378,
5461,
30,
46506,
366,
48658,
1,
16034,
3084,
62,
3865,
3559,
33411,
366,
14140,
1,
796,
705,
73,
6996,
279,
378,
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
] | [
8496,
750,
13075,
350,
378,
5461,
30,
46506,
366,
48658,
1,
16034,
3084,
62,
3865,
3559,
33411,
366,
14140,
1,
796,
705,
73,
6996,
279,
378,
6
] |
For those records from the products and each product's manufacturer, visualize the relationship between price and revenue , and group by attribute name. | SELECT T1.Price, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Name | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
38350,
262,
2776,
1022,
2756,
290,
6426,
837,
290,
1448,
416,
11688,
1438,
13,
46506,
309,
16,
13,
18124,
11,
309,
17,
13,
3041,
4080,
16034,
18675,
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
] | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
38350,
262,
2776,
1022,
2756,
290,
6426,
837,
290,
1448,
416,
11688,
1438,
13,
46506,
309,
16,
13,
18124,
11,
309,
17,
13,
3041,
4080,
16034,
18675,
7054,
309,
16,
32... |
how many runs are there ? | SELECT COUNT(*) FROM table_204_576 | [
4919,
867,
4539,
389,
612,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
37452
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
4539,
389,
612,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
37452
] |
since 11 months ago, what was the maximum potassium value for patient 47460? | SELECT MAX(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 47460) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'potassium') AND DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '... | [
20777,
1367,
1933,
2084,
11,
644,
373,
262,
5415,
33156,
1988,
329,
5827,
604,
4524,
1899,
30,
46506,
25882,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
20777,
1367,
1933,
2084,
11,
644,
373,
262,
5415,
33156,
1988,
329,
5827,
604,
4524,
1899,
30,
46506,
25882,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25... |
The pink cytoplasm will have a nucleus of what color? | SELECT nucleus FROM table_13570_1 WHERE cytoplasm = "Pink" | [
464,
11398,
3075,
4852,
75,
8597,
481,
423,
257,
29984,
286,
644,
3124,
30,
46506,
29984,
16034,
3084,
62,
17059,
2154,
62,
16,
33411,
3075,
4852,
75,
8597,
796,
366,
41912,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
464,
11398,
3075,
4852,
75,
8597,
481,
423,
257,
29984,
286,
644,
3124,
30,
46506,
29984,
16034,
3084,
62,
17059,
2154,
62,
16,
33411,
3075,
4852,
75,
8597,
796,
366,
41912,
1
] |
Which venue has a scoreof 2 0? | SELECT venue FROM table_name_60 WHERE score = "2–0" | [
13828,
14359,
468,
257,
4776,
1659,
362,
657,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
1899,
33411,
4776,
796,
366,
17,
1906,
15,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
14359,
468,
257,
4776,
1659,
362,
657,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
1899,
33411,
4776,
796,
366,
17,
1906,
15,
1
] |
Name the home team for football park | SELECT "Home team" FROM table_20747 WHERE "Ground" = 'Football Park' | [
5376,
262,
1363,
1074,
329,
4346,
3952,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
22745,
2857,
33411,
366,
35539,
1,
796,
705,
37316,
3250,
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
] | [
5376,
262,
1363,
1074,
329,
4346,
3952,
46506,
366,
16060,
1074,
1,
16034,
3084,
62,
22745,
2857,
33411,
366,
35539,
1,
796,
705,
37316,
3250,
6
] |
What is the highest pick number from Slovakia? | SELECT MAX("Pick #") FROM table_54540 WHERE "Nationality" = 'slovakia' | [
2061,
318,
262,
4511,
2298,
1271,
422,
36839,
30,
46506,
25882,
7203,
31686,
1303,
4943,
16034,
3084,
62,
45326,
1821,
33411,
366,
16186,
414,
1,
796,
705,
6649,
709,
21897,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4511,
2298,
1271,
422,
36839,
30,
46506,
25882,
7203,
31686,
1303,
4943,
16034,
3084,
62,
45326,
1821,
33411,
366,
16186,
414,
1,
796,
705,
6649,
709,
21897,
6
] |
What is the Location of the Bowl in 2006? | SELECT location FROM table_name_50 WHERE season = 2006 | [
2061,
318,
262,
13397,
286,
262,
8693,
287,
4793,
30,
46506,
4067,
16034,
3084,
62,
3672,
62,
1120,
33411,
1622,
796,
4793
] | [
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,
13397,
286,
262,
8693,
287,
4793,
30,
46506,
4067,
16034,
3084,
62,
3672,
62,
1120,
33411,
1622,
796,
4793
] |
What is the success rate for the year 2012? | SELECT success_rate FROM table_name_52 WHERE year = "2012" | [
2061,
318,
262,
1943,
2494,
329,
262,
614,
2321,
30,
46506,
1943,
62,
4873,
16034,
3084,
62,
3672,
62,
4309,
33411,
614,
796,
366,
6999,
1
] | [
1,
1,
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,
1943,
2494,
329,
262,
614,
2321,
30,
46506,
1943,
62,
4873,
16034,
3084,
62,
3672,
62,
4309,
33411,
614,
796,
366,
6999,
1
] |
Find the number of students living in each city with a bar chart, and rank bar from high to low order. | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code ORDER BY city_code DESC | [
16742,
262,
1271,
286,
2444,
2877,
287,
1123,
1748,
351,
257,
2318,
8262,
11,
290,
4279,
2318,
422,
1029,
284,
1877,
1502,
13,
46506,
1748,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
13613,
44441,
11050,
1748,
62,
8189,
38678,
11050,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
1271,
286,
2444,
2877,
287,
1123,
1748,
351,
257,
2318,
8262,
11,
290,
4279,
2318,
422,
1029,
284,
1877,
1502,
13,
46506,
1748,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
13613,
44441,
11050,
1748,
62,
8189,
38678,
11050,
... |
Was the sounddock series I v2 iphone certified? | SELECT iphone_certified FROM table_24384861_1 WHERE version = "SoundDock series I v2" | [
16973,
262,
2128,
67,
735,
2168,
314,
410,
17,
220,
13323,
505,
15704,
30,
46506,
220,
13323,
505,
62,
22583,
1431,
16034,
3084,
62,
1731,
2548,
2780,
5333,
62,
16,
33411,
2196,
796,
366,
21369,
35,
735,
2168,
314,
410,
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
] | [
16973,
262,
2128,
67,
735,
2168,
314,
410,
17,
220,
13323,
505,
15704,
30,
46506,
220,
13323,
505,
62,
22583,
1431,
16034,
3084,
62,
1731,
2548,
2780,
5333,
62,
16,
33411,
2196,
796,
366,
21369,
35,
735,
2168,
314,
410,
17,
1
] |
What was the attendance when the VFL played Junction Oval? | SELECT COUNT("Crowd") FROM table_4741 WHERE "Venue" = 'junction oval' | [
2061,
373,
262,
14858,
618,
262,
569,
3697,
2826,
44410,
25165,
30,
46506,
327,
28270,
7203,
34,
3986,
4943,
16034,
3084,
62,
2857,
3901,
33411,
366,
37522,
518,
1,
796,
705,
73,
4575,
41186,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
14858,
618,
262,
569,
3697,
2826,
44410,
25165,
30,
46506,
327,
28270,
7203,
34,
3986,
4943,
16034,
3084,
62,
2857,
3901,
33411,
366,
37522,
518,
1,
796,
705,
73,
4575,
41186,
6
] |
What is Score, when Date is May 7, 2006? | SELECT "Score" FROM table_7948 WHERE "Date" = 'may 7, 2006' | [
2061,
318,
15178,
11,
618,
7536,
318,
1737,
767,
11,
4793,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3720,
2780,
33411,
366,
10430,
1,
796,
705,
11261,
767,
11,
4793,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
15178,
11,
618,
7536,
318,
1737,
767,
11,
4793,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
3720,
2780,
33411,
366,
10430,
1,
796,
705,
11261,
767,
11,
4793,
6
] |
What was the Result on July 24? | SELECT result FROM table_name_1 WHERE date = "july 24" | [
2061,
373,
262,
25414,
319,
2901,
1987,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
16,
33411,
3128,
796,
366,
73,
2062,
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
] | [
2061,
373,
262,
25414,
319,
2901,
1987,
30,
46506,
1255,
16034,
3084,
62,
3672,
62,
16,
33411,
3128,
796,
366,
73,
2062,
1987,
1
] |
Which game had a score of w 95-85? | SELECT MIN("Game") FROM table_74216 WHERE "Score" = 'W 95-85' | [
13828,
983,
550,
257,
4776,
286,
266,
6957,
12,
5332,
30,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
22,
3682,
1433,
33411,
366,
26595,
1,
796,
705,
54,
6957,
12,
5332,
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,
983,
550,
257,
4776,
286,
266,
6957,
12,
5332,
30,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
22,
3682,
1433,
33411,
366,
26595,
1,
796,
705,
54,
6957,
12,
5332,
6
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.