instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
sequence | attention_mask
sequence | labels
sequence |
---|---|---|---|---|
count the number of patients whose diagnoses short title is ocl crtd art wo infrct and lab test abnormal status is delta? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Ocl crtd art wo infrct" AND lab.flag = "delta" | [
9127,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
267,
565,
1067,
8671,
1242,
24486,
1167,
81,
310,
290,
2248,
1332,
18801,
3722,
318,
25979,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
40567,
13,
19509,
62,
7839,
796,
366,
46,
565,
1067,
8671,
1242,
24486,
1167,
81,
310,
1,
5357,
2248,
13,
32109,
796,
366,
67,
12514,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9127,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
267,
565,
1067,
8671,
1242,
24486,
1167,
81,
310,
290,
2248,
1332,
18801,
3722,
318,
25979,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
40567,
13,
19509,
62,
7839,
796,
366,
46,
565,
1067,
8671,
1242,
24486,
1167,
81,
310,
1,
5357,
2248,
13,
32109,
796,
366,
67,
12514,
1
] |
what is the average cost of hospital that involves a procedure called platelet transfusion during this year? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'platelet transfusion')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY cost.hadm_id) AS t1 | [
10919,
318,
262,
2811,
1575,
286,
4436,
326,
9018,
257,
8771,
1444,
7480,
1616,
13501,
4241,
1141,
428,
614,
30,
46506,
35224,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
35683,
7,
15805,
13,
15805,
8,
7054,
269,
16,
16034,
1575,
33411,
1575,
13,
18108,
76,
62,
312,
3268,
357,
46506,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
796,
705,
6816,
1616,
13501,
4241,
6,
4008,
5357,
360,
1404,
2767,
12789,
7,
15805,
13,
354,
7641,
524,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
15,
614,
11537,
44441,
11050,
1575,
13,
18108,
76,
62,
312,
8,
7054,
256,
16
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
2811,
1575,
286,
4436,
326,
9018,
257,
8771,
1444,
7480,
1616,
13501,
4241,
1141,
428,
614,
30,
46506,
35224,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
35683,
7,
15805,
13,
15805,
8,
7054,
269,
16,
16034,
1575,
33411,
1575,
13,
18108,
76,
62,
312,
3268,
357,
46506,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
796,
705,
6816,
1616,
13501,
4241,
6,
4008,
5357,
360,
1404,
2767,
12789,
7,
15805,
13,
354,
7641,
524,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
15,
614,
11537,
44441,
11050,
1575,
13,
18108,
76,
62,
312,
8,
7054,
256,
16
] |
what is the number of patients whose insurance is private and procedure long title is colostomy, not otherwise specified? | 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 = "Colostomy, not otherwise specified" | [
10919,
318,
262,
1271,
286,
3871,
3025,
5096,
318,
2839,
290,
8771,
890,
3670,
318,
951,
455,
9145,
11,
407,
4306,
7368,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
1040,
3874,
796,
366,
29067,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
5216,
455,
9145,
11,
407,
4306,
7368,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5096,
318,
2839,
290,
8771,
890,
3670,
318,
951,
455,
9145,
11,
407,
4306,
7368,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
1040,
3874,
796,
366,
29067,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
5216,
455,
9145,
11,
407,
4306,
7368,
1
] |
Name the number of teams for 11th position september 10 | SELECT COUNT(team) FROM table_25361570_2 WHERE position_in_table = "11th" AND date_of_appointment = "September 10" | [
5376,
262,
1271,
286,
3466,
329,
1367,
400,
2292,
384,
457,
1491,
838,
46506,
327,
28270,
7,
15097,
8,
16034,
3084,
62,
1495,
2623,
1314,
2154,
62,
17,
33411,
2292,
62,
259,
62,
11487,
796,
366,
1157,
400,
1,
5357,
3128,
62,
1659,
62,
1324,
49805,
796,
366,
17543,
838,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
1271,
286,
3466,
329,
1367,
400,
2292,
384,
457,
1491,
838,
46506,
327,
28270,
7,
15097,
8,
16034,
3084,
62,
1495,
2623,
1314,
2154,
62,
17,
33411,
2292,
62,
259,
62,
11487,
796,
366,
1157,
400,
1,
5357,
3128,
62,
1659,
62,
1324,
49805,
796,
366,
17543,
838,
1
] |
Draw a scatterplot of team id vs all_games_percent where team id is on the x-axis and points are colored by All_Neutral | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY All_Neutral | [
25302,
257,
41058,
29487,
286,
1074,
4686,
3691,
477,
62,
19966,
62,
25067,
810,
1074,
4686,
318,
319,
262,
2124,
12,
22704,
290,
2173,
389,
16396,
416,
1439,
62,
8199,
6815,
46506,
4816,
62,
2389,
11,
1439,
62,
24474,
62,
31905,
16034,
9669,
62,
15699,
44441,
11050,
1439,
62,
8199,
6815
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
25302,
257,
41058,
29487,
286,
1074,
4686,
3691,
477,
62,
19966,
62,
25067,
810,
1074,
4686,
318,
319,
262,
2124,
12,
22704,
290,
2173,
389,
16396,
416,
1439,
62,
8199,
6815,
46506,
4816,
62,
2389,
11,
1439,
62,
24474,
62,
31905,
16034,
9669,
62,
15699,
44441,
11050,
1439,
62,
8199,
6815
] |
whats the sex of patient 22315? | SELECT patients.gender FROM patients WHERE patients.subject_id = 22315 | [
1929,
1381,
262,
1714,
286,
5827,
30299,
1314,
30,
46506,
3871,
13,
8388,
16034,
3871,
33411,
3871,
13,
32796,
62,
312,
796,
30299,
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
] | [
1929,
1381,
262,
1714,
286,
5827,
30299,
1314,
30,
46506,
3871,
13,
8388,
16034,
3871,
33411,
3871,
13,
32796,
62,
312,
796,
30299,
1314
] |
Who were the authors of the episode first broadcast on August 10, 2012? | SELECT written_by FROM table_28081876_6 WHERE original_air_date = "August 10, 2012" | [
8241,
547,
262,
7035,
286,
262,
4471,
717,
7025,
319,
2932,
838,
11,
2321,
30,
46506,
3194,
62,
1525,
16034,
3084,
62,
21033,
23,
1507,
4304,
62,
21,
33411,
2656,
62,
958,
62,
4475,
796,
366,
17908,
838,
11,
2321,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
547,
262,
7035,
286,
262,
4471,
717,
7025,
319,
2932,
838,
11,
2321,
30,
46506,
3194,
62,
1525,
16034,
3084,
62,
21033,
23,
1507,
4304,
62,
21,
33411,
2656,
62,
958,
62,
4475,
796,
366,
17908,
838,
11,
2321,
1
] |
Which captain has billy bonds as the manager? | SELECT captain FROM table_name_34 WHERE manager = "billy bonds" | [
13828,
10654,
468,
2855,
88,
13100,
355,
262,
4706,
30,
46506,
10654,
16034,
3084,
62,
3672,
62,
2682,
33411,
4706,
796,
366,
65,
6548,
13100,
1
] | [
1,
1,
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,
10654,
468,
2855,
88,
13100,
355,
262,
4706,
30,
46506,
10654,
16034,
3084,
62,
3672,
62,
2682,
33411,
4706,
796,
366,
65,
6548,
13100,
1
] |
What are the previous season ranks of teams whose website is www.novavolley.narod.ru? | SELECT previous_season_2007_2008 FROM table_19526911_1 WHERE website = "www.novavolley.narod.ru" | [
2061,
389,
262,
2180,
1622,
9803,
286,
3466,
3025,
3052,
318,
7324,
13,
37302,
615,
349,
1636,
13,
23955,
375,
13,
622,
30,
46506,
2180,
62,
6230,
62,
12726,
62,
11528,
16034,
3084,
62,
22186,
26276,
1157,
62,
16,
33411,
3052,
796,
366,
2503,
13,
37302,
615,
349,
1636,
13,
23955,
375,
13,
622,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2180,
1622,
9803,
286,
3466,
3025,
3052,
318,
7324,
13,
37302,
615,
349,
1636,
13,
23955,
375,
13,
622,
30,
46506,
2180,
62,
6230,
62,
12726,
62,
11528,
16034,
3084,
62,
22186,
26276,
1157,
62,
16,
33411,
3052,
796,
366,
2503,
13,
37302,
615,
349,
1636,
13,
23955,
375,
13,
622,
1
] |
For those records from the products and each product's manufacturer, return a bar chart about the distribution of headquarter and the average of code , and group by attribute headquarter, display in ascending by the y axis. | SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T1.Code | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1182,
24385,
290,
262,
2811,
286,
2438,
837,
290,
1448,
416,
11688,
1182,
24385,
11,
3359,
287,
41988,
416,
262,
331,
16488,
13,
46506,
309,
17,
13,
13847,
24385,
11,
309,
16,
13,
10669,
16034,
18675,
7054,
309,
16,
32357,
1268,
17858,
17496,
7054,
309,
17,
6177,
309,
16,
13,
44445,
15051,
796,
309,
17,
13,
10669,
44441,
11050,
309,
17,
13,
13847,
24385,
38678,
11050,
309,
16,
13,
10669
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1182,
24385,
290,
262,
2811,
286,
2438,
837,
290,
1448,
416,
11688,
1182,
24385,
11,
3359,
287,
41988,
416,
262,
331,
16488,
13,
46506,
309,
17,
13,
13847,
24385,
11,
309,
16,
13,
10669,
16034,
18675,
7054,
309,
16,
32357,
1268,
17858,
17496,
7054,
309,
17,
6177,
309,
16,
13,
44445,
15051,
796,
309,
17,
13,
10669,
44441,
11050,
309,
17,
13,
13847,
24385,
38678,
11050,
309,
16,
13,
10669
] |
Which driver has the highest point total after winning $133,386? | SELECT MAX(points) FROM table_name_28 WHERE winnings = "$133,386" | [
13828,
4639,
468,
262,
4511,
966,
2472,
706,
5442,
720,
16945,
11,
21734,
30,
46506,
25882,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
2078,
33411,
1592,
23400,
796,
17971,
16945,
11,
21734,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4639,
468,
262,
4511,
966,
2472,
706,
5442,
720,
16945,
11,
21734,
30,
46506,
25882,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
2078,
33411,
1592,
23400,
796,
17971,
16945,
11,
21734,
1
] |
please give me all flights from LONG BEACH to MEMPHIS | 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 = 'LONG BEACH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MEMPHIS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | [
29688,
1577,
502,
477,
13956,
422,
44533,
9348,
16219,
284,
35153,
11909,
1797,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
5474,
33411,
27993,
62,
15,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
15,
13,
19205,
62,
8189,
5357,
27993,
62,
15,
13,
19205,
62,
3672,
796,
705,
43,
18494,
9348,
16219,
6,
5357,
27993,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189,
5357,
27993,
62,
16,
13,
19205,
62,
3672,
796,
705,
44,
3620,
11909,
1797,
6,
5357,
5474,
13,
6738,
62,
958,
634,
796,
31600,
15490,
62,
35009,
27389,
62,
15,
13,
958,
634,
62,
8189,
5357,
5474,
13,
1462,
62,
958,
634,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
958,
634,
62,
8189
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1577,
502,
477,
13956,
422,
44533,
9348,
16219,
284,
35153,
11909,
1797,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
5474,
33411,
27993,
62,
15,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
15,
13,
19205,
62,
8189,
5357,
27993,
62,
15,
13,
19205,
62,
3672,
796,
705,
43,
18494,
9348,
16219,
6,
5357,
27993,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189,
5357,
27993,
62,
16,
13,
19205,
62,
3672,
796,
705,
44,
3620,
11909,
1797,
6,
5357,
5474,
13,
6738,
62,
958,
634,
796,
31600,
15490,
62,
35009,
27389,
62,
15,
13,
958,
634,
62,
8189,
5357,
5474,
13,
1462,
62,
958,
634,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
958,
634,
62,
8189
] |
how many of the male patients were admitted on transfer from hosp/extram? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" | [
4919,
867,
286,
262,
4257,
3871,
547,
6848,
319,
4351,
422,
10496,
14,
2302,
859,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
44,
1,
5357,
16728,
13,
324,
3411,
62,
24886,
796,
366,
5446,
15037,
24302,
16034,
367,
47053,
14,
6369,
5446,
2390,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
262,
4257,
3871,
547,
6848,
319,
4351,
422,
10496,
14,
2302,
859,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
44,
1,
5357,
16728,
13,
324,
3411,
62,
24886,
796,
366,
5446,
15037,
24302,
16034,
367,
47053,
14,
6369,
5446,
2390,
1
] |
count the number of patients whose admission location is emergency room admit and procedure short title is exc/dest hrt lesion open | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.short_title = "Exc/dest hrt lesion open" | [
9127,
262,
1271,
286,
3871,
3025,
13938,
4067,
318,
6334,
2119,
9159,
290,
8771,
1790,
3670,
318,
2859,
14,
16520,
289,
17034,
10287,
295,
1280,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
3620,
49837,
45155,
15107,
2662,
5984,
36393,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
40127,
14,
16520,
289,
17034,
10287,
295,
1280,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13938,
4067,
318,
6334,
2119,
9159,
290,
8771,
1790,
3670,
318,
2859,
14,
16520,
289,
17034,
10287,
295,
1280,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
3620,
49837,
45155,
15107,
2662,
5984,
36393,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
40127,
14,
16520,
289,
17034,
10287,
295,
1280,
1
] |
What is the total number pick for seattle mariners team? | SELECT COUNT(pick) FROM table_name_13 WHERE team = "seattle mariners" | [
2061,
318,
262,
2472,
1271,
2298,
329,
384,
1999,
1667,
21257,
1074,
30,
46506,
327,
28270,
7,
27729,
8,
16034,
3084,
62,
3672,
62,
1485,
33411,
1074,
796,
366,
325,
1999,
1667,
21257,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2472,
1271,
2298,
329,
384,
1999,
1667,
21257,
1074,
30,
46506,
327,
28270,
7,
27729,
8,
16034,
3084,
62,
3672,
62,
1485,
33411,
1074,
796,
366,
325,
1999,
1667,
21257,
1
] |
What is the to par that has macdonald smith as the player? | SELECT to_par FROM table_name_41 WHERE player = "macdonald smith" | [
2061,
318,
262,
284,
1582,
326,
468,
8352,
40915,
895,
342,
355,
262,
2137,
30,
46506,
284,
62,
1845,
16034,
3084,
62,
3672,
62,
3901,
33411,
2137,
796,
366,
20285,
40915,
895,
342,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
284,
1582,
326,
468,
8352,
40915,
895,
342,
355,
262,
2137,
30,
46506,
284,
62,
1845,
16034,
3084,
62,
3672,
62,
3901,
33411,
2137,
796,
366,
20285,
40915,
895,
342,
1
] |
For those employees who did not have any job in the past, show me about the distribution of hire_date and the average of employee_id bin hire_date by weekday in a bar chart, and list in descending by the Y. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(EMPLOYEE_ID) DESC | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
905,
502,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2811,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
287,
257,
2318,
8262,
11,
290,
1351,
287,
31491,
416,
262,
575,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
5626,
17228,
6489,
21414,
6500,
62,
2389,
3268,
357,
46506,
17228,
6489,
21414,
6500,
62,
2389,
16034,
1693,
62,
23569,
8,
38678,
11050,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
905,
502,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2811,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
287,
257,
2318,
8262,
11,
290,
1351,
287,
31491,
416,
262,
575,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
5626,
17228,
6489,
21414,
6500,
62,
2389,
3268,
357,
46506,
17228,
6489,
21414,
6500,
62,
2389,
16034,
1693,
62,
23569,
8,
38678,
11050,
35224,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
22196,
34
] |
User with highest average comment score. | SELECT c.UserId AS "user_link", c.UserDisplayName, AVG(CAST(c.Score AS FLOAT)) AS "average_score", SUM(c.Score) AS "total_score", COUNT(c.Id) AS "total_count", 'site://users/' + CAST(c.UserId AS TEXT) + '?tab=activity&sort=comments' AS "link_to_comments" FROM Comments AS c GROUP BY c.UserId, c.UserDisplayName HAVING COUNT(c.Score) >= '##min?5##' ORDER BY AVG(CAST(c.Score AS FLOAT)) DESC LIMIT 100 | [
12982,
351,
4511,
2811,
2912,
4776,
13,
46506,
269,
13,
12982,
7390,
7054,
366,
7220,
62,
8726,
1600,
269,
13,
12982,
23114,
5376,
11,
35224,
7,
44647,
7,
66,
13,
26595,
7054,
9977,
46,
1404,
4008,
7054,
366,
23913,
62,
26675,
1600,
35683,
7,
66,
13,
26595,
8,
7054,
366,
23350,
62,
26675,
1600,
327,
28270,
7,
66,
13,
7390,
8,
7054,
366,
23350,
62,
9127,
1600,
705,
15654,
1378,
18417,
14,
6,
1343,
327,
11262,
7,
66,
13,
12982,
7390,
7054,
40383,
8,
1343,
705,
30,
8658,
28,
21797,
5,
30619,
28,
15944,
6,
7054,
366,
8726,
62,
1462,
62,
15944,
1,
16034,
19502,
7054,
269,
44441,
11050,
269,
13,
12982,
7390,
11,
269,
13,
12982,
23114,
5376,
367,
10116,
2751,
327,
28270,
7,
66,
13,
26595,
8,
18189,
705,
2235,
1084,
30,
20,
2235,
6,
38678,
11050,
35224,
7,
44647,
7,
66,
13,
26595,
7054,
9977,
46,
1404,
4008,
22196,
34,
27564,
2043,
1802
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
12982,
351,
4511,
2811,
2912,
4776,
13,
46506,
269,
13,
12982,
7390,
7054,
366,
7220,
62,
8726,
1600,
269,
13,
12982,
23114,
5376,
11,
35224,
7,
44647,
7,
66,
13,
26595,
7054,
9977,
46,
1404,
4008,
7054,
366,
23913,
62,
26675,
1600,
35683,
7,
66,
13,
26595,
8,
7054,
366,
23350,
62,
26675,
1600,
327,
28270,
7,
66,
13,
7390,
8,
7054,
366,
23350,
62,
9127,
1600,
705,
15654,
1378,
18417,
14,
6,
1343,
327,
11262,
7,
66,
13,
12982,
7390,
7054,
40383,
8,
1343,
705,
30,
8658,
28,
21797,
5,
30619,
28,
15944,
6,
7054,
366,
8726,
62,
1462,
62,
15944,
1,
16034,
19502,
7054,
269,
44441,
11050,
269,
13,
12982,
7390,
11,
269,
13,
12982,
23114,
5376,
367,
10116,
2751,
327,
28270,
7,
66,
13,
26595,
8,
18189,
705,
2235,
1084,
30,
20,
2235,
6,
38678,
11050,
35224,
7,
44647,
7,
66,
13,
26595,
7054,
9977,
46,
1404,
4008,
22196,
34,
27564,
2043,
1802
] |
Kim Weiskopf and Jeff Franklin wrote all the no. in series. | SELECT "No. in series" FROM table_27505 WHERE "Written by" = 'Kim Weiskopf and Jeff Franklin' | [
26374,
775,
1984,
404,
69,
290,
5502,
14021,
2630,
477,
262,
645,
13,
287,
2168,
13,
46506,
366,
2949,
13,
287,
2168,
1,
16034,
3084,
62,
1983,
31654,
33411,
366,
25354,
416,
1,
796,
705,
26374,
775,
1984,
404,
69,
290,
5502,
14021,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26374,
775,
1984,
404,
69,
290,
5502,
14021,
2630,
477,
262,
645,
13,
287,
2168,
13,
46506,
366,
2949,
13,
287,
2168,
1,
16034,
3084,
62,
1983,
31654,
33411,
366,
25354,
416,
1,
796,
705,
26374,
775,
1984,
404,
69,
290,
5502,
14021,
6
] |
How many episodes in the season had 3.81 million US viewers? | SELECT COUNT("No. in season") FROM table_73654 WHERE "U.S. viewers (million)" = '3.81' | [
2437,
867,
8640,
287,
262,
1622,
550,
513,
13,
6659,
1510,
1294,
10209,
30,
46506,
327,
28270,
7203,
2949,
13,
287,
1622,
4943,
16034,
3084,
62,
49150,
4051,
33411,
366,
52,
13,
50,
13,
10209,
357,
14100,
16725,
796,
705,
18,
13,
6659,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
8640,
287,
262,
1622,
550,
513,
13,
6659,
1510,
1294,
10209,
30,
46506,
327,
28270,
7203,
2949,
13,
287,
1622,
4943,
16034,
3084,
62,
49150,
4051,
33411,
366,
52,
13,
50,
13,
10209,
357,
14100,
16725,
796,
705,
18,
13,
6659,
6
] |
what is the number of away games ? | SELECT COUNT(*) FROM table_204_38 WHERE "opponent#" = 'away' | [
10919,
318,
262,
1271,
286,
1497,
1830,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
2548,
33411,
366,
10365,
3471,
2,
1,
796,
705,
8272,
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
] | [
10919,
318,
262,
1271,
286,
1497,
1830,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
2548,
33411,
366,
10365,
3471,
2,
1,
796,
705,
8272,
6
] |
tell me the percentile value of the po2 value of 75.0 among patients of the same age as patient 30976 during the last hospital encounter? | SELECT DISTINCT t1.c1 FROM (SELECT labevents.valuenum, PERCENT_RANK() OVER (ORDER BY labevents.valuenum) AS c1 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'po2') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age = (SELECT admissions.age FROM admissions WHERE admissions.subject_id = 30976 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1))) AS t1 WHERE t1.valuenum = 75.0 | [
33331,
502,
262,
37894,
1988,
286,
262,
745,
17,
1988,
286,
5441,
13,
15,
1871,
3871,
286,
262,
976,
2479,
355,
5827,
40286,
4304,
1141,
262,
938,
4436,
8791,
30,
46506,
360,
8808,
1268,
4177,
256,
16,
13,
66,
16,
16034,
357,
46506,
2248,
31534,
13,
2100,
84,
44709,
11,
19878,
43960,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
2248,
31534,
13,
2100,
84,
44709,
8,
7054,
269,
16,
16034,
2248,
31534,
33411,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
7501,
17,
11537,
5357,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
496,
796,
357,
46506,
25349,
13,
496,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
40286,
4304,
5357,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
38678,
11050,
25349,
13,
324,
20124,
524,
22196,
34,
27564,
2043,
352,
22305,
7054,
256,
16,
33411,
256,
16,
13,
2100,
84,
44709,
796,
5441,
13,
15
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
33331,
502,
262,
37894,
1988,
286,
262,
745,
17,
1988,
286,
5441,
13,
15,
1871,
3871,
286,
262,
976,
2479,
355,
5827,
40286,
4304,
1141,
262,
938,
4436,
8791,
30,
46506,
360,
8808,
1268,
4177,
256,
16,
13,
66,
16,
16034,
357,
46506,
2248,
31534,
13,
2100,
84,
44709,
11,
19878,
43960,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
2248,
31534,
13,
2100,
84,
44709,
8,
7054,
269,
16,
16034,
2248,
31534,
33411,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
7501,
17,
11537,
5357,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
496,
796,
357,
46506,
25349,
13,
496,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
40286,
4304,
5357,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
38678,
11050,
25349,
13,
324,
20124,
524,
22196,
34,
27564,
2043,
352,
22305,
7054,
256,
16,
33411,
256,
16,
13,
2100,
84,
44709,
796,
5441,
13,
15
] |
What is the Year of the Player with a Weight of 230 or less from San Antonio, Texas? | SELECT year FROM table_name_20 WHERE weight < 230 AND home_town = "san antonio, texas" | [
2061,
318,
262,
6280,
286,
262,
7853,
351,
257,
14331,
286,
18395,
393,
1342,
422,
2986,
11366,
11,
3936,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
1238,
33411,
3463,
1279,
18395,
5357,
1363,
62,
12735,
796,
366,
12807,
281,
1122,
952,
11,
48659,
292,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6280,
286,
262,
7853,
351,
257,
14331,
286,
18395,
393,
1342,
422,
2986,
11366,
11,
3936,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
1238,
33411,
3463,
1279,
18395,
5357,
1363,
62,
12735,
796,
366,
12807,
281,
1122,
952,
11,
48659,
292,
1
] |
TOP 110 users from INDIA. Lists the top 50 users (ranked by reputation) that are located in Calicut/Kozhikode, Kerala, India according to their profile information.
Thanks to http://data.stackexchange.com/stackoverflow/qe/1157/top-100-users-from-greece | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Nepal%' ORDER BY Reputation DESC LIMIT 110 | [
35222,
9796,
2985,
422,
24413,
3539,
13,
44968,
262,
1353,
2026,
2985,
357,
28282,
416,
8507,
8,
326,
389,
5140,
287,
2199,
13554,
14,
42,
8590,
71,
1134,
1098,
11,
34649,
11,
3794,
1864,
284,
511,
7034,
1321,
13,
201,
198,
9690,
284,
2638,
1378,
7890,
13,
301,
330,
365,
87,
3803,
13,
785,
14,
25558,
2502,
11125,
14,
80,
68,
14,
1157,
3553,
14,
4852,
12,
3064,
12,
18417,
12,
6738,
12,
70,
631,
344,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
11,
16531,
5376,
11,
1432,
7094,
11,
15887,
28165,
11,
13397,
16034,
18987,
33411,
13397,
34178,
705,
4,
45,
538,
282,
4,
6,
38678,
11050,
1432,
7094,
22196,
34,
27564,
2043,
9796
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
35222,
9796,
2985,
422,
24413,
3539,
13,
44968,
262,
1353,
2026,
2985,
357,
28282,
416,
8507,
8,
326,
389,
5140,
287,
2199,
13554,
14,
42,
8590,
71,
1134,
1098,
11,
34649,
11,
3794,
1864,
284,
511,
7034,
1321,
13,
201,
198,
9690,
284,
2638,
1378,
7890,
13,
301,
330,
365,
87,
3803,
13,
785,
14,
25558,
2502,
11125,
14,
80,
68,
14,
1157,
3553,
14,
4852,
12,
3064,
12,
18417,
12,
6738,
12,
70,
631,
344,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
11,
16531,
5376,
11,
1432,
7094,
11,
15887,
28165,
11,
13397,
16034,
18987,
33411,
13397,
34178,
705,
4,
45,
538,
282,
4,
6,
38678,
11050,
1432,
7094,
22196,
34,
27564,
2043,
9796
] |
Find the max gpa of all students in each department with a bar chart, and sort in desc by the bar please. | SELECT DEPT_CODE, MAX(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE ORDER BY DEPT_CODE DESC | [
16742,
262,
3509,
308,
8957,
286,
477,
2444,
287,
1123,
5011,
351,
257,
2318,
8262,
11,
290,
3297,
287,
1715,
416,
262,
2318,
3387,
13,
46506,
5550,
11571,
62,
34,
16820,
11,
25882,
7,
2257,
52,
62,
38,
4537,
8,
16034,
49348,
3525,
44441,
11050,
5550,
11571,
62,
34,
16820,
38678,
11050,
5550,
11571,
62,
34,
16820,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
3509,
308,
8957,
286,
477,
2444,
287,
1123,
5011,
351,
257,
2318,
8262,
11,
290,
3297,
287,
1715,
416,
262,
2318,
3387,
13,
46506,
5550,
11571,
62,
34,
16820,
11,
25882,
7,
2257,
52,
62,
38,
4537,
8,
16034,
49348,
3525,
44441,
11050,
5550,
11571,
62,
34,
16820,
38678,
11050,
5550,
11571,
62,
34,
16820,
22196,
34
] |
what is the best supported club with a 25 Goal and a per game larger than 1,156? | SELECT best_supported_club FROM table_name_75 WHERE goals = 25 AND per_game > 1 OFFSET 156 | [
10919,
318,
262,
1266,
4855,
3430,
351,
257,
1679,
25376,
290,
257,
583,
983,
4025,
621,
352,
11,
21599,
30,
46506,
1266,
62,
15999,
62,
18664,
16034,
3084,
62,
3672,
62,
2425,
33411,
4661,
796,
1679,
5357,
583,
62,
6057,
1875,
352,
3963,
10652,
2767,
23871
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1266,
4855,
3430,
351,
257,
1679,
25376,
290,
257,
583,
983,
4025,
621,
352,
11,
21599,
30,
46506,
1266,
62,
15999,
62,
18664,
16034,
3084,
62,
3672,
62,
2425,
33411,
4661,
796,
1679,
5357,
583,
62,
6057,
1875,
352,
3963,
10652,
2767,
23871
] |
What is the episode title for number 7 in the season? | SELECT title FROM table_23981882_1 WHERE no_in_season = 7 | [
2061,
318,
262,
4471,
3670,
329,
1271,
767,
287,
262,
1622,
30,
46506,
3670,
16034,
3084,
62,
1954,
4089,
1507,
6469,
62,
16,
33411,
645,
62,
259,
62,
6230,
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,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4471,
3670,
329,
1271,
767,
287,
262,
1622,
30,
46506,
3670,
16034,
3084,
62,
1954,
4089,
1507,
6469,
62,
16,
33411,
645,
62,
259,
62,
6230,
796,
767
] |
What 1953 has 2 for 1947, and dne as 1938? | SELECT 1953 FROM table_name_52 WHERE 1947 = "2" AND 1938 = "dne" | [
2061,
24217,
468,
362,
329,
21709,
11,
290,
288,
710,
355,
28017,
30,
46506,
24217,
16034,
3084,
62,
3672,
62,
4309,
33411,
21709,
796,
366,
17,
1,
5357,
28017,
796,
366,
67,
710,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
24217,
468,
362,
329,
21709,
11,
290,
288,
710,
355,
28017,
30,
46506,
24217,
16034,
3084,
62,
3672,
62,
4309,
33411,
21709,
796,
366,
17,
1,
5357,
28017,
796,
366,
67,
710,
1
] |
Tell me the date for warsaw 1929 | SELECT "Date" FROM table_31995 WHERE "Location" = 'warsaw' AND "Year" = '1929' | [
24446,
502,
262,
3128,
329,
9976,
707,
31883,
46506,
366,
10430,
1,
16034,
3084,
62,
18,
21908,
33411,
366,
14749,
1,
796,
705,
86,
945,
707,
6,
5357,
366,
17688,
1,
796,
705,
1129,
1959,
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
] | [
24446,
502,
262,
3128,
329,
9976,
707,
31883,
46506,
366,
10430,
1,
16034,
3084,
62,
18,
21908,
33411,
366,
14749,
1,
796,
705,
86,
945,
707,
6,
5357,
366,
17688,
1,
796,
705,
1129,
1959,
6
] |
What was the home team with a 4-6-0 record? | SELECT home FROM table_name_13 WHERE record = "4-6-0" | [
2061,
373,
262,
1363,
1074,
351,
257,
604,
12,
21,
12,
15,
1700,
30,
46506,
1363,
16034,
3084,
62,
3672,
62,
1485,
33411,
1700,
796,
366,
19,
12,
21,
12,
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
] | [
2061,
373,
262,
1363,
1074,
351,
257,
604,
12,
21,
12,
15,
1700,
30,
46506,
1363,
16034,
3084,
62,
3672,
62,
1485,
33411,
1700,
796,
366,
19,
12,
21,
12,
15,
1
] |
What is the 1USD= in Chile and has 1 Euro greater than 635.134? | SELECT COUNT("1 USD =") FROM table_71334 WHERE "Country" = 'chile' AND "1 Euro =" > '635.134' | [
2061,
318,
262,
352,
29072,
28,
287,
17456,
290,
468,
352,
1898,
3744,
621,
718,
2327,
13,
19880,
30,
46506,
327,
28270,
7203,
16,
11403,
796,
4943,
16034,
3084,
62,
50055,
2682,
33411,
366,
33921,
1,
796,
705,
354,
576,
6,
5357,
366,
16,
1898,
796,
1,
1875,
705,
48250,
13,
19880,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
352,
29072,
28,
287,
17456,
290,
468,
352,
1898,
3744,
621,
718,
2327,
13,
19880,
30,
46506,
327,
28270,
7203,
16,
11403,
796,
4943,
16034,
3084,
62,
50055,
2682,
33411,
366,
33921,
1,
796,
705,
354,
576,
6,
5357,
366,
16,
1898,
796,
1,
1875,
705,
48250,
13,
19880,
6
] |
Which school year was the Class AAA dalhart and the class AAAAA edinburg? | SELECT "School Year" FROM table_35666 WHERE "Class AAA" = 'dalhart' AND "Class AAAAA" = 'edinburg' | [
13828,
1524,
614,
373,
262,
5016,
25734,
288,
282,
18647,
290,
262,
1398,
317,
17922,
1225,
259,
7423,
30,
46506,
366,
26130,
6280,
1,
16034,
3084,
62,
2327,
27310,
33411,
366,
9487,
25734,
1,
796,
705,
31748,
18647,
6,
5357,
366,
9487,
317,
17922,
1,
796,
705,
27152,
7423,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1524,
614,
373,
262,
5016,
25734,
288,
282,
18647,
290,
262,
1398,
317,
17922,
1225,
259,
7423,
30,
46506,
366,
26130,
6280,
1,
16034,
3084,
62,
2327,
27310,
33411,
366,
9487,
25734,
1,
796,
705,
31748,
18647,
6,
5357,
366,
9487,
317,
17922,
1,
796,
705,
27152,
7423,
6
] |
What is the fewest bronze medals when the total medals is less than 10, and the gold medals less than 0? | SELECT MIN("Bronze") FROM table_58923 WHERE "Total" < '10' AND "Gold" < '0' | [
2061,
318,
262,
1178,
395,
22101,
28057,
618,
262,
2472,
28057,
318,
1342,
621,
838,
11,
290,
262,
3869,
28057,
1342,
621,
657,
30,
46506,
20625,
7203,
18760,
2736,
4943,
16034,
3084,
62,
44169,
1954,
33411,
366,
14957,
1,
1279,
705,
940,
6,
5357,
366,
13306,
1,
1279,
705,
15,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1178,
395,
22101,
28057,
618,
262,
2472,
28057,
318,
1342,
621,
838,
11,
290,
262,
3869,
28057,
1342,
621,
657,
30,
46506,
20625,
7203,
18760,
2736,
4943,
16034,
3084,
62,
44169,
1954,
33411,
366,
14957,
1,
1279,
705,
940,
6,
5357,
366,
13306,
1,
1279,
705,
15,
6
] |
Show all card type codes and the number of cards in each type. | SELECT card_type_code, COUNT(*) FROM Customers_Cards GROUP BY card_type_code | [
15307,
477,
2657,
2099,
12416,
290,
262,
1271,
286,
4116,
287,
1123,
2099,
13,
46506,
2657,
62,
4906,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
36707,
62,
34,
1371,
44441,
11050,
2657,
62,
4906,
62,
8189
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
477,
2657,
2099,
12416,
290,
262,
1271,
286,
4116,
287,
1123,
2099,
13,
46506,
2657,
62,
4906,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
36707,
62,
34,
1371,
44441,
11050,
2657,
62,
4906,
62,
8189
] |
Name the standard yarn weight system for 7 wpi | SELECT standard_yarn_weight_system FROM table_20297668_1 WHERE wraps_per_inch__wpi_ = "7 wpi" | [
5376,
262,
3210,
21181,
3463,
1080,
329,
767,
266,
14415,
46506,
3210,
62,
88,
1501,
62,
6551,
62,
10057,
16034,
3084,
62,
1238,
26561,
35809,
62,
16,
33411,
27521,
62,
525,
62,
8589,
834,
86,
14415,
62,
796,
366,
22,
266,
14415,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
3210,
21181,
3463,
1080,
329,
767,
266,
14415,
46506,
3210,
62,
88,
1501,
62,
6551,
62,
10057,
16034,
3084,
62,
1238,
26561,
35809,
62,
16,
33411,
27521,
62,
525,
62,
8589,
834,
86,
14415,
62,
796,
366,
22,
266,
14415,
1
] |
had patient 1249 been given any tube feeding medication until 1194 days ago? | SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1249)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'tube feeding' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime) <= DATETIME(CURRENT_TIME(), '-1194 day') | [
18108,
5827,
1105,
2920,
587,
1813,
597,
12403,
13017,
14103,
1566,
15136,
19,
1528,
2084,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
33967,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
1105,
2920,
4008,
5357,
287,
79,
1133,
85,
658,
62,
33967,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23814,
13,
9186,
312,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
18242,
796,
705,
29302,
13017,
6,
5357,
288,
62,
23814,
13,
8726,
301,
78,
796,
705,
259,
79,
1133,
85,
658,
62,
33967,
11537,
5357,
360,
1404,
2767,
12789,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
40926,
2435,
8,
19841,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
16315,
19,
1110,
11537
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
18108,
5827,
1105,
2920,
587,
1813,
597,
12403,
13017,
14103,
1566,
15136,
19,
1528,
2084,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
287,
79,
1133,
85,
658,
62,
33967,
33411,
287,
79,
1133,
85,
658,
62,
33967,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
1105,
2920,
4008,
5357,
287,
79,
1133,
85,
658,
62,
33967,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23814,
13,
9186,
312,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
18242,
796,
705,
29302,
13017,
6,
5357,
288,
62,
23814,
13,
8726,
301,
78,
796,
705,
259,
79,
1133,
85,
658,
62,
33967,
11537,
5357,
360,
1404,
2767,
12789,
7,
259,
79,
1133,
85,
658,
62,
33967,
13,
40926,
2435,
8,
19841,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
16315,
19,
1110,
11537
] |
what is the daily maximum of arterial bp [systolic] for patient 1205 since 1347 days ago? | SELECT MAX(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 = 1205)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime) >= DATETIME(CURRENT_TIME(), '-1347 day') GROUP BY STRFTIME('%y-%m-%d', chartevents.charttime) | [
10919,
318,
262,
4445,
5415,
286,
30675,
498,
275,
79,
685,
1837,
301,
4160,
60,
329,
5827,
1105,
2713,
1201,
1511,
2857,
1528,
2084,
30,
46506,
25882,
7,
40926,
31534,
13,
2100,
84,
44709,
8,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
1105,
2713,
4008,
5357,
8262,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23814,
13,
9186,
312,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
18242,
796,
705,
2571,
498,
275,
79,
685,
1837,
301,
4160,
49946,
5357,
288,
62,
23814,
13,
8726,
301,
78,
796,
705,
40926,
31534,
11537,
5357,
360,
1404,
2767,
12789,
7,
40926,
31534,
13,
40926,
2435,
8,
18189,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
1485,
2857,
1110,
11537,
44441,
11050,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76,
12,
4,
67,
3256,
8262,
31534,
13,
40926,
2435,
8
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4445,
5415,
286,
30675,
498,
275,
79,
685,
1837,
301,
4160,
60,
329,
5827,
1105,
2713,
1201,
1511,
2857,
1528,
2084,
30,
46506,
25882,
7,
40926,
31534,
13,
2100,
84,
44709,
8,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
436,
592,
13,
291,
436,
323,
62,
312,
16034,
14158,
436,
592,
33411,
14158,
436,
592,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
1105,
2713,
4008,
5357,
8262,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23814,
13,
9186,
312,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
18242,
796,
705,
2571,
498,
275,
79,
685,
1837,
301,
4160,
49946,
5357,
288,
62,
23814,
13,
8726,
301,
78,
796,
705,
40926,
31534,
11537,
5357,
360,
1404,
2767,
12789,
7,
40926,
31534,
13,
40926,
2435,
8,
18189,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
1485,
2857,
1110,
11537,
44441,
11050,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76,
12,
4,
67,
3256,
8262,
31534,
13,
40926,
2435,
8
] |
What is the average price across all products? | SELECT AVG(price) FROM products | [
2061,
318,
262,
2811,
2756,
1973,
477,
3186,
30,
46506,
35224,
7,
20888,
8,
16034,
3186
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
2756,
1973,
477,
3186,
30,
46506,
35224,
7,
20888,
8,
16034,
3186
] |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about manager_id over the email by a bar chart, I want to list in asc by the Y-axis. | SELECT EMAIL, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY MANAGER_ID | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
4706,
62,
312,
625,
262,
3053,
416,
257,
2318,
8262,
11,
314,
765,
284,
1351,
287,
10570,
416,
262,
575,
12,
22704,
13,
46506,
412,
5673,
4146,
11,
17254,
4760,
1137,
62,
2389,
16034,
4409,
33411,
5626,
5550,
30709,
10979,
62,
2389,
3268,
357,
46506,
5550,
30709,
10979,
62,
2389,
16034,
13346,
33411,
17254,
4760,
1137,
62,
2389,
38651,
8845,
1677,
1802,
5357,
939,
8,
38678,
11050,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
4706,
62,
312,
625,
262,
3053,
416,
257,
2318,
8262,
11,
314,
765,
284,
1351,
287,
10570,
416,
262,
575,
12,
22704,
13,
46506,
412,
5673,
4146,
11,
17254,
4760,
1137,
62,
2389,
16034,
4409,
33411,
5626,
5550,
30709,
10979,
62,
2389,
3268,
357,
46506,
5550,
30709,
10979,
62,
2389,
16034,
13346,
33411,
17254,
4760,
1137,
62,
2389,
38651,
8845,
1677,
1802,
5357,
939,
8,
38678,
11050,
17254,
4760,
1137,
62,
2389
] |
What is the Airport with an IATA of TRZ? | SELECT airport FROM table_name_51 WHERE iata = "trz" | [
2061,
318,
262,
12690,
351,
281,
314,
13563,
286,
7579,
57,
30,
46506,
9003,
16034,
3084,
62,
3672,
62,
4349,
33411,
1312,
1045,
796,
366,
2213,
89,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
12690,
351,
281,
314,
13563,
286,
7579,
57,
30,
46506,
9003,
16034,
3084,
62,
3672,
62,
4349,
33411,
1312,
1045,
796,
366,
2213,
89,
1
] |
How many termini are there that have 'east west' listed in their direction section, 'none' listed in their junction section, and have a route name of 'sh 202'? | SELECT COUNT(termini) FROM table_11336756_6 WHERE direction = "East West" AND junctions = "none" AND route_name = "SH 202" | [
2437,
867,
5651,
72,
389,
612,
326,
423,
705,
23316,
7421,
6,
5610,
287,
511,
4571,
2665,
11,
705,
23108,
6,
5610,
287,
511,
35037,
2665,
11,
290,
423,
257,
6339,
1438,
286,
705,
1477,
22131,
30960,
46506,
327,
28270,
7,
23705,
72,
8,
16034,
3084,
62,
1157,
29211,
38219,
62,
21,
33411,
4571,
796,
366,
25234,
2688,
1,
5357,
10891,
2733,
796,
366,
23108,
1,
5357,
6339,
62,
3672,
796,
366,
9693,
22131,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5651,
72,
389,
612,
326,
423,
705,
23316,
7421,
6,
5610,
287,
511,
4571,
2665,
11,
705,
23108,
6,
5610,
287,
511,
35037,
2665,
11,
290,
423,
257,
6339,
1438,
286,
705,
1477,
22131,
30960,
46506,
327,
28270,
7,
23705,
72,
8,
16034,
3084,
62,
1157,
29211,
38219,
62,
21,
33411,
4571,
796,
366,
25234,
2688,
1,
5357,
10891,
2733,
796,
366,
23108,
1,
5357,
6339,
62,
3672,
796,
366,
9693,
22131,
1
] |
What time has humber college north as the ground, and toronto downtown dingos as the home? | SELECT "Time" FROM table_41480 WHERE "Ground" = 'humber college north' AND "Home" = 'toronto downtown dingos' | [
2061,
640,
468,
1311,
527,
4152,
5093,
355,
262,
2323,
11,
290,
7332,
5957,
9436,
44852,
418,
355,
262,
1363,
30,
46506,
366,
7575,
1,
16034,
3084,
62,
37309,
1795,
33411,
366,
35539,
1,
796,
705,
71,
4494,
4152,
5093,
6,
5357,
366,
16060,
1,
796,
705,
13165,
5957,
9436,
44852,
418,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
640,
468,
1311,
527,
4152,
5093,
355,
262,
2323,
11,
290,
7332,
5957,
9436,
44852,
418,
355,
262,
1363,
30,
46506,
366,
7575,
1,
16034,
3084,
62,
37309,
1795,
33411,
366,
35539,
1,
796,
705,
71,
4494,
4152,
5093,
6,
5357,
366,
16060,
1,
796,
705,
13165,
5957,
9436,
44852,
418,
6
] |
when did patient 031-15417 last take his or her sputum, expectorated microbiology test during their first hospital encounter? | 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 = '031-15417' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND microlab.culturesite = 'sputum, expectorated' ORDER BY microlab.culturetakentime DESC LIMIT 1 | [
12518,
750,
5827,
657,
3132,
12,
21526,
1558,
938,
1011,
465,
393,
607,
599,
315,
388,
11,
1607,
273,
515,
24559,
1435,
1332,
1141,
511,
717,
4436,
8791,
30,
46506,
4580,
23912,
13,
25584,
83,
461,
298,
524,
16034,
4580,
23912,
33411,
4580,
23912,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
43637,
12,
21526,
1558,
6,
5357,
5626,
5827,
13,
49257,
6381,
354,
7641,
524,
3180,
15697,
38678,
11050,
5827,
13,
49257,
324,
20124,
524,
27564,
2043,
352,
4008,
5357,
4580,
23912,
13,
40820,
942,
578,
796,
705,
82,
1996,
388,
11,
1607,
273,
515,
6,
38678,
11050,
4580,
23912,
13,
25584,
83,
461,
298,
524,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
21526,
1558,
938,
1011,
465,
393,
607,
599,
315,
388,
11,
1607,
273,
515,
24559,
1435,
1332,
1141,
511,
717,
4436,
8791,
30,
46506,
4580,
23912,
13,
25584,
83,
461,
298,
524,
16034,
4580,
23912,
33411,
4580,
23912,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
43637,
12,
21526,
1558,
6,
5357,
5626,
5827,
13,
49257,
6381,
354,
7641,
524,
3180,
15697,
38678,
11050,
5827,
13,
49257,
324,
20124,
524,
27564,
2043,
352,
4008,
5357,
4580,
23912,
13,
40820,
942,
578,
796,
705,
82,
1996,
388,
11,
1607,
273,
515,
6,
38678,
11050,
4580,
23912,
13,
25584,
83,
461,
298,
524,
22196,
34,
27564,
2043,
352
] |
Find the number of the dates of assessment notes for students with first name 'Fanny', I want to sort from high to low by the Y please. | SELECT date_of_notes, COUNT(date_of_notes) FROM Assessment_Notes AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id WHERE T2.first_name = "Fanny" ORDER BY COUNT(date_of_notes) DESC | [
16742,
262,
1271,
286,
262,
9667,
286,
8922,
4710,
329,
2444,
351,
717,
1438,
705,
37,
7737,
3256,
314,
765,
284,
3297,
422,
1029,
284,
1877,
416,
262,
575,
3387,
13,
46506,
3128,
62,
1659,
62,
17815,
11,
327,
28270,
7,
4475,
62,
1659,
62,
17815,
8,
16034,
25809,
62,
16130,
7054,
309,
16,
32357,
1268,
14882,
7054,
309,
17,
6177,
309,
16,
13,
50139,
62,
312,
796,
309,
17,
13,
50139,
62,
312,
33411,
309,
17,
13,
11085,
62,
3672,
796,
366,
37,
7737,
1,
38678,
11050,
327,
28270,
7,
4475,
62,
1659,
62,
17815,
8,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
1271,
286,
262,
9667,
286,
8922,
4710,
329,
2444,
351,
717,
1438,
705,
37,
7737,
3256,
314,
765,
284,
3297,
422,
1029,
284,
1877,
416,
262,
575,
3387,
13,
46506,
3128,
62,
1659,
62,
17815,
11,
327,
28270,
7,
4475,
62,
1659,
62,
17815,
8,
16034,
25809,
62,
16130,
7054,
309,
16,
32357,
1268,
14882,
7054,
309,
17,
6177,
309,
16,
13,
50139,
62,
312,
796,
309,
17,
13,
50139,
62,
312,
33411,
309,
17,
13,
11085,
62,
3672,
796,
366,
37,
7737,
1,
38678,
11050,
327,
28270,
7,
4475,
62,
1659,
62,
17815,
8,
22196,
34
] |
what were the top five frequently prescribed drugs that patients were prescribed in the same hospital visit after having received a procedure-one vessel procedure during a year before? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'procedure-one vessel') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | [
10919,
547,
262,
1353,
1936,
6777,
14798,
5010,
326,
3871,
547,
14798,
287,
262,
976,
4436,
3187,
706,
1719,
2722,
257,
8771,
12,
505,
8837,
8771,
1141,
257,
614,
878,
30,
46506,
256,
18,
13,
30349,
16034,
357,
46506,
256,
17,
13,
30349,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
9021,
62,
291,
67,
13,
40926,
2435,
11,
25349,
13,
18108,
76,
62,
312,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
796,
705,
1676,
771,
495,
12,
505,
8837,
11537,
5357,
360,
1404,
2767,
12789,
7,
1676,
771,
942,
62,
291,
67,
13,
40926,
2435,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614,
6,
4008,
7054,
256,
16,
32357,
1268,
357,
46506,
25349,
13,
32796,
62,
312,
11,
34092,
13,
30349,
11,
34092,
13,
9688,
4475,
11,
25349,
13,
18108,
76,
62,
312,
16034,
34092,
32357,
1268,
25349,
6177,
34092,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
360,
1404,
2767,
12789,
7,
18302,
24370,
13,
9688,
4475,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614,
6,
4008,
7054,
256,
17,
6177,
256,
16,
13,
32796,
62,
312,
796,
256,
17,
13,
32796,
62,
312,
33411,
256,
16,
13,
40926,
2435,
1279,
256,
17,
13,
9688,
4475,
5357,
256,
16,
13,
18108,
76,
62,
312,
796,
256,
17,
13,
18108,
76,
62,
312,
44441,
11050,
256,
17,
13,
30349,
8,
7054,
256,
18,
33411,
256,
18,
13,
66,
16,
19841,
642
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
547,
262,
1353,
1936,
6777,
14798,
5010,
326,
3871,
547,
14798,
287,
262,
976,
4436,
3187,
706,
1719,
2722,
257,
8771,
12,
505,
8837,
8771,
1141,
257,
614,
878,
30,
46506,
256,
18,
13,
30349,
16034,
357,
46506,
256,
17,
13,
30349,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
9021,
62,
291,
67,
13,
40926,
2435,
11,
25349,
13,
18108,
76,
62,
312,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
796,
705,
1676,
771,
495,
12,
505,
8837,
11537,
5357,
360,
1404,
2767,
12789,
7,
1676,
771,
942,
62,
291,
67,
13,
40926,
2435,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614,
6,
4008,
7054,
256,
16,
32357,
1268,
357,
46506,
25349,
13,
32796,
62,
312,
11,
34092,
13,
30349,
11,
34092,
13,
9688,
4475,
11,
25349,
13,
18108,
76,
62,
312,
16034,
34092,
32357,
1268,
25349,
6177,
34092,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
360,
1404,
2767,
12789,
7,
18302,
24370,
13,
9688,
4475,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614,
6,
4008,
7054,
256,
17,
6177,
256,
16,
13,
32796,
62,
312,
796,
256,
17,
13,
32796,
62,
312,
33411,
256,
16,
13,
40926,
2435,
1279,
256,
17,
13,
9688,
4475,
5357,
256,
16,
13,
18108,
76,
62,
312,
796,
256,
17,
13,
18108,
76,
62,
312,
44441,
11050,
256,
17,
13,
30349,
8,
7054,
256,
18,
33411,
256,
18,
13,
66,
16,
19841,
642
] |
Show all dates of transactions whose type code is 'SALE', and count them by a bar chart, and I want to sort by the y-axis in asc. | SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions WHERE transaction_type_code = "SALE" ORDER BY COUNT(date_of_transaction) | [
15307,
477,
9667,
286,
8945,
3025,
2099,
2438,
318,
705,
50,
21358,
3256,
290,
954,
606,
416,
257,
2318,
8262,
11,
290,
314,
765,
284,
3297,
416,
262,
331,
12,
22704,
287,
10570,
13,
46506,
3128,
62,
1659,
62,
7645,
2673,
11,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8,
16034,
46192,
33411,
8611,
62,
4906,
62,
8189,
796,
366,
50,
21358,
1,
38678,
11050,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
477,
9667,
286,
8945,
3025,
2099,
2438,
318,
705,
50,
21358,
3256,
290,
954,
606,
416,
257,
2318,
8262,
11,
290,
314,
765,
284,
3297,
416,
262,
331,
12,
22704,
287,
10570,
13,
46506,
3128,
62,
1659,
62,
7645,
2673,
11,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8,
16034,
46192,
33411,
8611,
62,
4906,
62,
8189,
796,
366,
50,
21358,
1,
38678,
11050,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8
] |
What is the ergative for the dative (i)mas? | SELECT ergative FROM table_name_53 WHERE dative = "(i)mas" | [
2061,
318,
262,
39035,
876,
329,
262,
288,
876,
357,
72,
8,
5356,
30,
46506,
39035,
876,
16034,
3084,
62,
3672,
62,
4310,
33411,
288,
876,
796,
30629,
72,
8,
5356,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
39035,
876,
329,
262,
288,
876,
357,
72,
8,
5356,
30,
46506,
39035,
876,
16034,
3084,
62,
3672,
62,
4310,
33411,
288,
876,
796,
30629,
72,
8,
5356,
1
] |
In what Year did Yugoslavia have 4 Competitors with 0 medals Total? | SELECT year FROM table_name_78 WHERE total = "0" AND competitors = "4" | [
818,
644,
6280,
750,
37777,
423,
604,
38558,
6742,
351,
657,
28057,
7472,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
3695,
33411,
2472,
796,
366,
15,
1,
5357,
13861,
796,
366,
19,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
818,
644,
6280,
750,
37777,
423,
604,
38558,
6742,
351,
657,
28057,
7472,
30,
46506,
614,
16034,
3084,
62,
3672,
62,
3695,
33411,
2472,
796,
366,
15,
1,
5357,
13861,
796,
366,
19,
1
] |
For every student who is registered for some course, how many courses are they registered for? | SELECT T1.student_id, COUNT(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id | [
1890,
790,
3710,
508,
318,
6823,
329,
617,
1781,
11,
703,
867,
10902,
389,
484,
6823,
329,
30,
46506,
309,
16,
13,
50139,
62,
312,
11,
327,
28270,
7,
28104,
16034,
2444,
7054,
309,
16,
32357,
1268,
3710,
62,
17319,
62,
2301,
396,
9143,
7054,
309,
17,
6177,
309,
16,
13,
50139,
62,
312,
796,
309,
17,
13,
50139,
62,
312,
44441,
11050,
309,
16,
13,
50139,
62,
312
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
790,
3710,
508,
318,
6823,
329,
617,
1781,
11,
703,
867,
10902,
389,
484,
6823,
329,
30,
46506,
309,
16,
13,
50139,
62,
312,
11,
327,
28270,
7,
28104,
16034,
2444,
7054,
309,
16,
32357,
1268,
3710,
62,
17319,
62,
2301,
396,
9143,
7054,
309,
17,
6177,
309,
16,
13,
50139,
62,
312,
796,
309,
17,
13,
50139,
62,
312,
44441,
11050,
309,
16,
13,
50139,
62,
312
] |
Tell me the total for silver more than 0 for italy with gold less than 29 | SELECT MIN(total) FROM table_name_26 WHERE silver > 0 AND nation = "italy" AND gold < 29 | [
24446,
502,
262,
2472,
329,
8465,
517,
621,
657,
329,
340,
3400,
351,
3869,
1342,
621,
2808,
46506,
20625,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
2075,
33411,
8465,
1875,
657,
5357,
3277,
796,
366,
1287,
88,
1,
5357,
3869,
1279,
2808
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
24446,
502,
262,
2472,
329,
8465,
517,
621,
657,
329,
340,
3400,
351,
3869,
1342,
621,
2808,
46506,
20625,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
2075,
33411,
8465,
1875,
657,
5357,
3277,
796,
366,
1287,
88,
1,
5357,
3869,
1279,
2808
] |
What was the date of the discus throw for Bulgaria? | SELECT "Date" FROM table_55229 WHERE "Nationality" = 'bulgaria' AND "Event" = 'discus throw' | [
2061,
373,
262,
3128,
286,
262,
1221,
385,
3714,
329,
27902,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2816,
23539,
33411,
366,
16186,
414,
1,
796,
705,
15065,
4563,
544,
6,
5357,
366,
9237,
1,
796,
705,
15410,
385,
3714,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
3128,
286,
262,
1221,
385,
3714,
329,
27902,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
2816,
23539,
33411,
366,
16186,
414,
1,
796,
705,
15065,
4563,
544,
6,
5357,
366,
9237,
1,
796,
705,
15410,
385,
3714,
6
] |
which games did they not score under 30 points ? | SELECT COUNT(*) FROM table_204_227 WHERE "score" >= 30 | [
4758,
1830,
750,
484,
407,
4776,
739,
1542,
2173,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
24403,
33411,
366,
26675,
1,
18189,
1542
] | [
1,
1,
1,
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,
1830,
750,
484,
407,
4776,
739,
1542,
2173,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
24403,
33411,
366,
26675,
1,
18189,
1542
] |
What episode title had a production code of 3x6306? | SELECT title FROM table_28116528_1 WHERE production_code = "3X6306" | [
2061,
4471,
3670,
550,
257,
3227,
2438,
286,
513,
87,
21,
20548,
30,
46506,
3670,
16034,
3084,
62,
2078,
1157,
2996,
2078,
62,
16,
33411,
3227,
62,
8189,
796,
366,
18,
55,
21,
20548,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4471,
3670,
550,
257,
3227,
2438,
286,
513,
87,
21,
20548,
30,
46506,
3670,
16034,
3084,
62,
2078,
1157,
2996,
2078,
62,
16,
33411,
3227,
62,
8189,
796,
366,
18,
55,
21,
20548,
1
] |
What engine type is used in a Space Shuttle Vacuum scenario? | SELECT engine_type FROM table_15944_5 WHERE scenario = "Space shuttle vacuum" | [
2061,
3113,
2099,
318,
973,
287,
257,
4687,
35143,
25709,
13814,
8883,
30,
46506,
3113,
62,
4906,
16034,
3084,
62,
19707,
2598,
62,
20,
33411,
8883,
796,
366,
14106,
20992,
17076,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
3113,
2099,
318,
973,
287,
257,
4687,
35143,
25709,
13814,
8883,
30,
46506,
3113,
62,
4906,
16034,
3084,
62,
19707,
2598,
62,
20,
33411,
8883,
796,
366,
14106,
20992,
17076,
1
] |
What is the short name of the channel under 5.2? | SELECT psip_short_name FROM table_name_2 WHERE channel < 5.2 | [
2061,
318,
262,
1790,
1438,
286,
262,
6518,
739,
642,
13,
17,
30,
46506,
26692,
541,
62,
19509,
62,
3672,
16034,
3084,
62,
3672,
62,
17,
33411,
6518,
1279,
642,
13,
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
] | [
2061,
318,
262,
1790,
1438,
286,
262,
6518,
739,
642,
13,
17,
30,
46506,
26692,
541,
62,
19509,
62,
3672,
16034,
3084,
62,
3672,
62,
17,
33411,
6518,
1279,
642,
13,
17
] |
what is drug name of subject id 74345? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.subject_id = "74345" | [
10919,
318,
2563,
1438,
286,
2426,
4686,
767,
3559,
2231,
30,
46506,
34092,
13,
30349,
16034,
34092,
33411,
34092,
13,
32796,
62,
312,
796,
366,
22,
3559,
2231,
1
] | [
1,
1,
1,
1,
1,
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,
2563,
1438,
286,
2426,
4686,
767,
3559,
2231,
30,
46506,
34092,
13,
30349,
16034,
34092,
33411,
34092,
13,
32796,
62,
312,
796,
366,
22,
3559,
2231,
1
] |
chronic inflammatory or autoimmune disease with the exception of well _ controlled hypothyroidism or intermittent or mild persistent asthma not requiring the use of daily inhaled steroids | SELECT * FROM table_dev_4 WHERE chronic_inflammatory = 1 OR autoimmune_disease = 1 OR hypothyroidism = 1 OR asthma = 1 AND inhaled_steroids = 1 | [
354,
4565,
23760,
393,
46938,
4369,
351,
262,
6631,
286,
880,
4808,
6856,
5328,
14863,
3882,
1042,
393,
38361,
393,
11607,
16218,
28438,
407,
10616,
262,
779,
286,
4445,
25783,
3021,
31397,
46506,
1635,
16034,
3084,
62,
7959,
62,
19,
33411,
10726,
62,
32272,
796,
352,
6375,
46938,
62,
67,
786,
589,
796,
352,
6375,
5328,
14863,
3882,
1042,
796,
352,
6375,
28438,
796,
352,
5357,
25783,
3021,
62,
1706,
10994,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
354,
4565,
23760,
393,
46938,
4369,
351,
262,
6631,
286,
880,
4808,
6856,
5328,
14863,
3882,
1042,
393,
38361,
393,
11607,
16218,
28438,
407,
10616,
262,
779,
286,
4445,
25783,
3021,
31397,
46506,
1635,
16034,
3084,
62,
7959,
62,
19,
33411,
10726,
62,
32272,
796,
352,
6375,
46938,
62,
67,
786,
589,
796,
352,
6375,
5328,
14863,
3882,
1042,
796,
352,
6375,
28438,
796,
352,
5357,
25783,
3021,
62,
1706,
10994,
796,
352
] |
What are the different transaction types, and how many transactions of each have taken place Show bar chart, and sort by the the total number in ascending. | SELECT transaction_type, COUNT(*) FROM Financial_Transactions GROUP BY transaction_type ORDER BY COUNT(*) | [
2061,
389,
262,
1180,
8611,
3858,
11,
290,
703,
867,
8945,
286,
1123,
423,
2077,
1295,
5438,
2318,
8262,
11,
290,
3297,
416,
262,
262,
2472,
1271,
287,
41988,
13,
46506,
8611,
62,
4906,
11,
327,
28270,
7,
28104,
16034,
11302,
62,
8291,
4658,
44441,
11050,
8611,
62,
4906,
38678,
11050,
327,
28270,
7,
28104
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8611,
3858,
11,
290,
703,
867,
8945,
286,
1123,
423,
2077,
1295,
5438,
2318,
8262,
11,
290,
3297,
416,
262,
262,
2472,
1271,
287,
41988,
13,
46506,
8611,
62,
4906,
11,
327,
28270,
7,
28104,
16034,
11302,
62,
8291,
4658,
44441,
11050,
8611,
62,
4906,
38678,
11050,
327,
28270,
7,
28104
] |
What is the length of the highway with remarks that it was replaced by bsi-35? | SELECT length FROM table_name_77 WHERE remarks = "replaced by bsi-35" | [
2061,
318,
262,
4129,
286,
262,
12763,
351,
10252,
326,
340,
373,
6928,
416,
275,
13396,
12,
2327,
30,
46506,
4129,
16034,
3084,
62,
3672,
62,
3324,
33411,
10252,
796,
366,
260,
21820,
416,
275,
13396,
12,
2327,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4129,
286,
262,
12763,
351,
10252,
326,
340,
373,
6928,
416,
275,
13396,
12,
2327,
30,
46506,
4129,
16034,
3084,
62,
3672,
62,
3324,
33411,
10252,
796,
366,
260,
21820,
416,
275,
13396,
12,
2327,
1
] |
Who directed the episode viewed by 7.35 million? | SELECT "Directed by" FROM table_24315 WHERE "Viewing Figures (millions) Sourced by BARB ; includes ITV1 HD and ITV1 +1" = '7.35' | [
8241,
7924,
262,
4471,
9569,
416,
767,
13,
2327,
1510,
30,
46506,
366,
13470,
276,
416,
1,
16034,
3084,
62,
26660,
1314,
33411,
366,
7680,
278,
36574,
357,
17805,
507,
8,
311,
30555,
416,
31597,
33,
2162,
3407,
49188,
16,
5572,
290,
49188,
16,
1343,
16,
1,
796,
705,
22,
13,
2327,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
7924,
262,
4471,
9569,
416,
767,
13,
2327,
1510,
30,
46506,
366,
13470,
276,
416,
1,
16034,
3084,
62,
26660,
1314,
33411,
366,
7680,
278,
36574,
357,
17805,
507,
8,
311,
30555,
416,
31597,
33,
2162,
3407,
49188,
16,
5572,
290,
49188,
16,
1343,
16,
1,
796,
705,
22,
13,
2327,
6
] |
Please show me how many employees working on different countries using a bar chart, and could you display from low to high by the x axis please? | SELECT COUNTRY_NAME, COUNT(COUNTRY_NAME) FROM countries GROUP BY COUNTRY_NAME ORDER BY COUNTRY_NAME | [
5492,
905,
502,
703,
867,
4409,
1762,
319,
1180,
2678,
1262,
257,
2318,
8262,
11,
290,
714,
345,
3359,
422,
1877,
284,
1029,
416,
262,
2124,
16488,
3387,
30,
46506,
31404,
40405,
62,
20608,
11,
327,
28270,
7,
34,
19385,
40405,
62,
20608,
8,
16034,
2678,
44441,
11050,
31404,
40405,
62,
20608,
38678,
11050,
31404,
40405,
62,
20608
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5492,
905,
502,
703,
867,
4409,
1762,
319,
1180,
2678,
1262,
257,
2318,
8262,
11,
290,
714,
345,
3359,
422,
1877,
284,
1029,
416,
262,
2124,
16488,
3387,
30,
46506,
31404,
40405,
62,
20608,
11,
327,
28270,
7,
34,
19385,
40405,
62,
20608,
8,
16034,
2678,
44441,
11050,
31404,
40405,
62,
20608,
38678,
11050,
31404,
40405,
62,
20608
] |
What is the tenure for the Tritons team? | SELECT "Tenure" FROM table_38849 WHERE "Team Nickname" = 'tritons' | [
2061,
318,
262,
17081,
329,
262,
309,
799,
684,
1074,
30,
46506,
366,
24893,
495,
1,
16034,
3084,
62,
30460,
2920,
33411,
366,
15592,
8047,
3672,
1,
796,
705,
83,
799,
684,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
17081,
329,
262,
309,
799,
684,
1074,
30,
46506,
366,
24893,
495,
1,
16034,
3084,
62,
30460,
2920,
33411,
366,
15592,
8047,
3672,
1,
796,
705,
83,
799,
684,
6
] |
What is the sum of attendance for H/A values of 'n'? | SELECT SUM(attendance) FROM table_name_80 WHERE h___a = "n" | [
2061,
318,
262,
2160,
286,
14858,
329,
367,
14,
32,
3815,
286,
705,
77,
30960,
46506,
35683,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
1795,
33411,
289,
17569,
64,
796,
366,
77,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14858,
329,
367,
14,
32,
3815,
286,
705,
77,
30960,
46506,
35683,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
1795,
33411,
289,
17569,
64,
796,
366,
77,
1
] |
What site in the RCA Del Caribe was deleted? | SELECT deleted FROM table_name_8 WHERE name = "rca del caribe" | [
2061,
2524,
287,
262,
371,
8141,
4216,
17152,
68,
373,
13140,
30,
46506,
13140,
16034,
3084,
62,
3672,
62,
23,
33411,
1438,
796,
366,
6015,
64,
1619,
1097,
32438,
1
] | [
1,
1,
1,
1,
1,
1,
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,
2524,
287,
262,
371,
8141,
4216,
17152,
68,
373,
13140,
30,
46506,
13140,
16034,
3084,
62,
3672,
62,
23,
33411,
1438,
796,
366,
6015,
64,
1619,
1097,
32438,
1
] |
Number of questions with a minimal number of answers on a N days period. | SELECT DATEADD(DAY, 0, DATEDIFF(DAY, 0, CreationDate) / @days * @days) AS FullDate, CAST(COUNT(*) AS FLOAT) AS "#Questions" FROM Posts AS q WHERE q.PostTypeId = 1 AND q.AnswerCount >= '##minAnswers##' GROUP BY (DATEDIFF(DAY, 0, CreationDate) / @days * @days) ORDER BY FullDate DESC | [
15057,
286,
2683,
351,
257,
10926,
1271,
286,
7429,
319,
257,
399,
1528,
2278,
13,
46506,
360,
6158,
29266,
7,
26442,
11,
657,
11,
360,
11617,
29267,
7,
26442,
11,
657,
11,
21582,
10430,
8,
1220,
2488,
12545,
1635,
2488,
12545,
8,
7054,
6462,
10430,
11,
327,
11262,
7,
34,
28270,
7,
28104,
7054,
9977,
46,
1404,
8,
7054,
25113,
35741,
1,
16034,
12043,
7054,
10662,
33411,
10662,
13,
6307,
6030,
7390,
796,
352,
5357,
10662,
13,
33706,
12332,
18189,
705,
2235,
1084,
2025,
37848,
2235,
6,
44441,
11050,
357,
35,
11617,
29267,
7,
26442,
11,
657,
11,
21582,
10430,
8,
1220,
2488,
12545,
1635,
2488,
12545,
8,
38678,
11050,
6462,
10430,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15057,
286,
2683,
351,
257,
10926,
1271,
286,
7429,
319,
257,
399,
1528,
2278,
13,
46506,
360,
6158,
29266,
7,
26442,
11,
657,
11,
360,
11617,
29267,
7,
26442,
11,
657,
11,
21582,
10430,
8,
1220,
2488,
12545,
1635,
2488,
12545,
8,
7054,
6462,
10430,
11,
327,
11262,
7,
34,
28270,
7,
28104,
7054,
9977,
46,
1404,
8,
7054,
25113,
35741,
1,
16034,
12043,
7054,
10662,
33411,
10662,
13,
6307,
6030,
7390,
796,
352,
5357,
10662,
13,
33706,
12332,
18189,
705,
2235,
1084,
2025,
37848,
2235,
6,
44441,
11050,
357,
35,
11617,
29267,
7,
26442,
11,
657,
11,
21582,
10430,
8,
1220,
2488,
12545,
1635,
2488,
12545,
8,
38678,
11050,
6462,
10430,
22196,
34
] |
Which position does Loren Woods play? | SELECT "Position" FROM table_15863 WHERE "Player" = 'Loren Woods' | [
13828,
2292,
857,
32035,
16483,
711,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
1314,
4521,
18,
33411,
366,
14140,
1,
796,
705,
43,
29578,
16483,
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
] | [
13828,
2292,
857,
32035,
16483,
711,
30,
46506,
366,
26545,
1,
16034,
3084,
62,
1314,
4521,
18,
33411,
366,
14140,
1,
796,
705,
43,
29578,
16483,
6
] |
Who had the pole position in Milwaukee? | SELECT "Pole position" FROM table_3934 WHERE "Race" = 'Milwaukee' | [
8241,
550,
262,
16825,
2292,
287,
16629,
30,
46506,
366,
47,
2305,
2292,
1,
16034,
3084,
62,
2670,
2682,
33411,
366,
35157,
1,
796,
705,
24857,
15428,
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
] | [
8241,
550,
262,
16825,
2292,
287,
16629,
30,
46506,
366,
47,
2305,
2292,
1,
16034,
3084,
62,
2670,
2682,
33411,
366,
35157,
1,
796,
705,
24857,
15428,
6
] |
How many terms did the governor that left office on August 4, 1825 serve? | SELECT terms FROM table_name_46 WHERE left_office = "august 4, 1825" | [
2437,
867,
2846,
750,
262,
8153,
326,
1364,
2607,
319,
2932,
604,
11,
1248,
1495,
4691,
30,
46506,
2846,
16034,
3084,
62,
3672,
62,
3510,
33411,
1364,
62,
31810,
796,
366,
7493,
436,
604,
11,
1248,
1495,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2846,
750,
262,
8153,
326,
1364,
2607,
319,
2932,
604,
11,
1248,
1495,
4691,
30,
46506,
2846,
16034,
3084,
62,
3672,
62,
3510,
33411,
1364,
62,
31810,
796,
366,
7493,
436,
604,
11,
1248,
1495,
1
] |
WHAT IS THE AVERAGE POLES WITH POINTS N/A? | SELECT AVG(poles) FROM table_name_71 WHERE points = "n/a" | [
32971,
3180,
3336,
317,
5959,
11879,
20634,
1546,
13315,
19922,
1268,
4694,
399,
14,
32,
30,
46506,
35224,
7,
79,
4316,
8,
16034,
3084,
62,
3672,
62,
4869,
33411,
2173,
796,
366,
77,
14,
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,
1
] | [
32971,
3180,
3336,
317,
5959,
11879,
20634,
1546,
13315,
19922,
1268,
4694,
399,
14,
32,
30,
46506,
35224,
7,
79,
4316,
8,
16034,
3084,
62,
3672,
62,
4869,
33411,
2173,
796,
366,
77,
14,
64,
1
] |
What Player had a To Par of +2? | SELECT "Player" FROM table_62427 WHERE "To par" = '+2' | [
2061,
7853,
550,
257,
1675,
2547,
286,
1343,
17,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
21,
1731,
1983,
33411,
366,
2514,
1582,
1,
796,
705,
10,
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
] | [
2061,
7853,
550,
257,
1675,
2547,
286,
1343,
17,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
21,
1731,
1983,
33411,
366,
2514,
1582,
1,
796,
705,
10,
17,
6
] |
For all employees who have the letters D or S in their first name, what is the relationship between employee_id and department_id ? | SELECT EMPLOYEE_ID, DEPARTMENT_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,
644,
318,
262,
2776,
1022,
6538,
62,
312,
290,
5011,
62,
312,
5633,
46506,
17228,
6489,
21414,
6500,
62,
2389,
11,
5550,
30709,
10979,
62,
2389,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
644,
318,
262,
2776,
1022,
6538,
62,
312,
290,
5011,
62,
312,
5633,
46506,
17228,
6489,
21414,
6500,
62,
2389,
11,
5550,
30709,
10979,
62,
2389,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6
] |
this year what were the three most common procedures that patients were given in the same hospital visit after they had fx lumbar vertebra-close? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'fx lumbar vertebra-close') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3) | [
5661,
614,
644,
547,
262,
1115,
749,
2219,
9021,
326,
3871,
547,
1813,
287,
262,
976,
4436,
3187,
706,
484,
550,
277,
87,
300,
2178,
283,
30362,
16057,
12,
19836,
30,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
3268,
357,
46506,
256,
18,
13,
291,
67,
24,
62,
8189,
16034,
357,
46506,
256,
17,
13,
291,
67,
24,
62,
8189,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
40567,
62,
291,
67,
13,
40926,
2435,
11,
25349,
13,
18108,
76,
62,
312,
16034,
40567,
62,
291,
67,
32357,
1268,
25349,
6177,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
796,
705,
21373,
300,
2178,
283,
30362,
16057,
12,
19836,
11537,
5357,
360,
1404,
2767,
12789,
7,
47356,
4629,
62,
291,
67,
13,
40926,
2435,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
15,
614,
6,
4008,
7054,
256,
16,
32357,
1268,
357,
46506,
25349,
13,
32796,
62,
312,
11,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
11,
9021,
62,
291,
67,
13,
40926,
2435,
11,
25349,
13,
18108,
76,
62,
312,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
360,
1404,
2767,
12789,
7,
1676,
771,
942,
62,
291,
67,
13,
40926,
2435,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
15,
614,
6,
4008,
7054,
256,
17,
6177,
256,
16,
13,
32796,
62,
312,
796,
256,
17,
13,
32796,
62,
312,
33411,
256,
16,
13,
40926,
2435,
1279,
256,
17,
13,
40926,
2435,
5357,
256,
16,
13,
18108,
76,
62,
312,
796,
256,
17,
13,
18108,
76,
62,
312,
44441,
11050,
256,
17,
13,
291,
67,
24,
62,
8189,
8,
7054,
256,
18,
33411,
256,
18,
13,
66,
16,
19841,
513,
8
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5661,
614,
644,
547,
262,
1115,
749,
2219,
9021,
326,
3871,
547,
1813,
287,
262,
976,
4436,
3187,
706,
484,
550,
277,
87,
300,
2178,
283,
30362,
16057,
12,
19836,
30,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
291,
67,
24,
62,
8189,
3268,
357,
46506,
256,
18,
13,
291,
67,
24,
62,
8189,
16034,
357,
46506,
256,
17,
13,
291,
67,
24,
62,
8189,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
40567,
62,
291,
67,
13,
40926,
2435,
11,
25349,
13,
18108,
76,
62,
312,
16034,
40567,
62,
291,
67,
32357,
1268,
25349,
6177,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
62,
8189,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
796,
705,
21373,
300,
2178,
283,
30362,
16057,
12,
19836,
11537,
5357,
360,
1404,
2767,
12789,
7,
47356,
4629,
62,
291,
67,
13,
40926,
2435,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
15,
614,
6,
4008,
7054,
256,
16,
32357,
1268,
357,
46506,
25349,
13,
32796,
62,
312,
11,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
11,
9021,
62,
291,
67,
13,
40926,
2435,
11,
25349,
13,
18108,
76,
62,
312,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
360,
1404,
2767,
12789,
7,
1676,
771,
942,
62,
291,
67,
13,
40926,
2435,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
15,
614,
6,
4008,
7054,
256,
17,
6177,
256,
16,
13,
32796,
62,
312,
796,
256,
17,
13,
32796,
62,
312,
33411,
256,
16,
13,
40926,
2435,
1279,
256,
17,
13,
40926,
2435,
5357,
256,
16,
13,
18108,
76,
62,
312,
796,
256,
17,
13,
18108,
76,
62,
312,
44441,
11050,
256,
17,
13,
291,
67,
24,
62,
8189,
8,
7054,
256,
18,
33411,
256,
18,
13,
66,
16,
19841,
513,
8
] |
Which stadium did Rashid Budaj coach? | SELECT "Stadium" FROM table_59459 WHERE "Coach" = 'rashid budaj' | [
13828,
10308,
750,
27620,
312,
10370,
1228,
3985,
30,
46506,
366,
1273,
6271,
1,
16034,
3084,
62,
3270,
33459,
33411,
366,
40677,
1,
796,
705,
81,
1077,
312,
3600,
1228,
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
] | [
13828,
10308,
750,
27620,
312,
10370,
1228,
3985,
30,
46506,
366,
1273,
6271,
1,
16034,
3084,
62,
3270,
33459,
33411,
366,
40677,
1,
796,
705,
81,
1077,
312,
3600,
1228,
6
] |
Who is the head coach for the score of 4-3? | SELECT head_coach FROM table_22165661_3 WHERE score = "4-3" | [
8241,
318,
262,
1182,
3985,
329,
262,
4776,
286,
604,
12,
18,
30,
46506,
1182,
62,
1073,
620,
16034,
3084,
62,
1828,
20986,
47159,
62,
18,
33411,
4776,
796,
366,
19,
12,
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
] | [
8241,
318,
262,
1182,
3985,
329,
262,
4776,
286,
604,
12,
18,
30,
46506,
1182,
62,
1073,
620,
16034,
3084,
62,
1828,
20986,
47159,
62,
18,
33411,
4776,
796,
366,
19,
12,
18,
1
] |
Show the outcome code of mailshots along with the number of mailshots in each outcome code in a bar chart, could you show in descending by the names? | SELECT outcome_code, COUNT(*) FROM Mailshot_Customers GROUP BY outcome_code ORDER BY outcome_code DESC | [
15307,
262,
8055,
2438,
286,
6920,
20910,
1863,
351,
262,
1271,
286,
6920,
20910,
287,
1123,
8055,
2438,
287,
257,
2318,
8262,
11,
714,
345,
905,
287,
31491,
416,
262,
3891,
30,
46506,
8055,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
11099,
9442,
62,
15022,
364,
44441,
11050,
8055,
62,
8189,
38678,
11050,
8055,
62,
8189,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
262,
8055,
2438,
286,
6920,
20910,
1863,
351,
262,
1271,
286,
6920,
20910,
287,
1123,
8055,
2438,
287,
257,
2318,
8262,
11,
714,
345,
905,
287,
31491,
416,
262,
3891,
30,
46506,
8055,
62,
8189,
11,
327,
28270,
7,
28104,
16034,
11099,
9442,
62,
15022,
364,
44441,
11050,
8055,
62,
8189,
38678,
11050,
8055,
62,
8189,
22196,
34
] |
Find the total credits of courses provided by different department Plot them as bar chart, and display Y in asc order. | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name ORDER BY SUM(credits) | [
16742,
262,
2472,
10824,
286,
10902,
2810,
416,
1180,
5011,
28114,
606,
355,
2318,
8262,
11,
290,
3359,
575,
287,
10570,
1502,
13,
46506,
390,
457,
62,
3672,
11,
35683,
7,
66,
20696,
8,
16034,
1781,
44441,
11050,
390,
457,
62,
3672,
38678,
11050,
35683,
7,
66,
20696,
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
] | [
16742,
262,
2472,
10824,
286,
10902,
2810,
416,
1180,
5011,
28114,
606,
355,
2318,
8262,
11,
290,
3359,
575,
287,
10570,
1502,
13,
46506,
390,
457,
62,
3672,
11,
35683,
7,
66,
20696,
8,
16034,
1781,
44441,
11050,
390,
457,
62,
3672,
38678,
11050,
35683,
7,
66,
20696,
8
] |
Return the name of each physician and the number of patients he or she treats in a bar chart, list by the total number from low to high. | SELECT T1.Name, COUNT(*) FROM Physician AS T1 JOIN Patient AS T2 ON T1.EmployeeID = T2.PCP GROUP BY T1.EmployeeID ORDER BY COUNT(*) | [
13615,
262,
1438,
286,
1123,
14325,
290,
262,
1271,
286,
3871,
339,
393,
673,
18432,
287,
257,
2318,
8262,
11,
1351,
416,
262,
2472,
1271,
422,
1877,
284,
1029,
13,
46506,
309,
16,
13,
5376,
11,
327,
28270,
7,
28104,
16034,
8687,
6749,
7054,
309,
16,
32357,
1268,
35550,
7054,
309,
17,
6177,
309,
16,
13,
29733,
1453,
2389,
796,
309,
17,
13,
5662,
47,
44441,
11050,
309,
16,
13,
29733,
1453,
2389,
38678,
11050,
327,
28270,
7,
28104
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13615,
262,
1438,
286,
1123,
14325,
290,
262,
1271,
286,
3871,
339,
393,
673,
18432,
287,
257,
2318,
8262,
11,
1351,
416,
262,
2472,
1271,
422,
1877,
284,
1029,
13,
46506,
309,
16,
13,
5376,
11,
327,
28270,
7,
28104,
16034,
8687,
6749,
7054,
309,
16,
32357,
1268,
35550,
7054,
309,
17,
6177,
309,
16,
13,
29733,
1453,
2389,
796,
309,
17,
13,
5662,
47,
44441,
11050,
309,
16,
13,
29733,
1453,
2389,
38678,
11050,
327,
28270,
7,
28104
] |
What is every value for approximate duration when event details is women's foil? | SELECT "Approx. Duration" FROM table_30210 WHERE "Event Details" = 'Women''s Foil' | [
2061,
318,
790,
1988,
329,
27665,
9478,
618,
1785,
3307,
318,
1466,
338,
25501,
30,
46506,
366,
4677,
13907,
13,
22920,
1,
16034,
3084,
62,
1270,
21536,
33411,
366,
9237,
14890,
1,
796,
705,
18495,
7061,
82,
376,
9437,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
790,
1988,
329,
27665,
9478,
618,
1785,
3307,
318,
1466,
338,
25501,
30,
46506,
366,
4677,
13907,
13,
22920,
1,
16034,
3084,
62,
1270,
21536,
33411,
366,
9237,
14890,
1,
796,
705,
18495,
7061,
82,
376,
9437,
6
] |
Anyone teach 489 other than Prof. Joshua Gottlieb ? | SELECT DISTINCT instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 489 AND NOT instructor.name LIKE '%Joshua Gottlieb%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | [
21129,
4545,
604,
4531,
584,
621,
4415,
13,
20700,
39451,
14485,
65,
5633,
46506,
360,
8808,
1268,
4177,
21187,
13,
3672,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
36,
2943,
50,
6,
5357,
1781,
13,
17618,
796,
604,
4531,
5357,
5626,
21187,
13,
3672,
34178,
705,
4,
47740,
39451,
14485,
65,
4,
6,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273,
62,
312,
5357,
6011,
62,
259,
7249,
273,
13,
2364,
1586,
62,
312,
796,
1781,
62,
2364,
1586,
13,
2364,
1586,
62,
312
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
21129,
4545,
604,
4531,
584,
621,
4415,
13,
20700,
39451,
14485,
65,
5633,
46506,
360,
8808,
1268,
4177,
21187,
13,
3672,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
10378,
1823,
796,
705,
36,
2943,
50,
6,
5357,
1781,
13,
17618,
796,
604,
4531,
5357,
5626,
21187,
13,
3672,
34178,
705,
4,
47740,
39451,
14485,
65,
4,
6,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273,
62,
312,
5357,
6011,
62,
259,
7249,
273,
13,
2364,
1586,
62,
312,
796,
1781,
62,
2364,
1586,
13,
2364,
1586,
62,
312
] |
Which townland has an area of 165 acres? | SELECT "Townland" FROM table_4293 WHERE "Area( acres )" = '165' | [
13828,
3240,
1044,
468,
281,
1989,
286,
21409,
16051,
30,
46506,
366,
38097,
1044,
1,
16034,
3084,
62,
11785,
18,
33411,
366,
30547,
7,
16051,
1267,
1,
796,
705,
20986,
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
] | [
13828,
3240,
1044,
468,
281,
1989,
286,
21409,
16051,
30,
46506,
366,
38097,
1044,
1,
16034,
3084,
62,
11785,
18,
33411,
366,
30547,
7,
16051,
1267,
1,
796,
705,
20986,
6
] |
how many female patients have stayed in the hospital for more than 8 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.days_stay > "8" | [
4919,
867,
4048,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
807,
1528,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
23,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
4048,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
807,
1528,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
23,
1
] |
how many days has passed since patient 739 last received a lab test for hematocrit in this hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', labevents.charttime)) FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 739 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime DESC LIMIT 1 | [
4919,
867,
1528,
468,
3804,
1201,
5827,
767,
2670,
938,
2722,
257,
2248,
1332,
329,
339,
6759,
420,
799,
287,
428,
4436,
8791,
30,
46506,
352,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
532,
19269,
9792,
12789,
10786,
4,
73,
3256,
2248,
31534,
13,
40926,
2435,
4008,
16034,
2248,
31534,
33411,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
10024,
420,
799,
11537,
5357,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
767,
2670,
5357,
25349,
13,
6381,
354,
2435,
3180,
15697,
8,
38678,
11050,
2248,
31534,
13,
40926,
2435,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
468,
3804,
1201,
5827,
767,
2670,
938,
2722,
257,
2248,
1332,
329,
339,
6759,
420,
799,
287,
428,
4436,
8791,
30,
46506,
352,
1635,
357,
18601,
9792,
12789,
10786,
4,
73,
3256,
327,
39237,
62,
34694,
28955,
532,
19269,
9792,
12789,
10786,
4,
73,
3256,
2248,
31534,
13,
40926,
2435,
4008,
16034,
2248,
31534,
33411,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
10024,
420,
799,
11537,
5357,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
767,
2670,
5357,
25349,
13,
6381,
354,
2435,
3180,
15697,
8,
38678,
11050,
2248,
31534,
13,
40926,
2435,
22196,
34,
27564,
2043,
352
] |
How many cities are in counties that have populations of over 20000? | SELECT COUNT(*) FROM city WHERE county_id IN (SELECT county_id FROM county_public_safety WHERE population > 20000) | [
2437,
867,
4736,
389,
287,
14683,
326,
423,
9684,
286,
625,
939,
405,
30,
46506,
327,
28270,
7,
28104,
16034,
1748,
33411,
7968,
62,
312,
3268,
357,
46506,
7968,
62,
312,
16034,
7968,
62,
11377,
62,
44708,
33411,
3265,
1875,
939,
405,
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
] | [
2437,
867,
4736,
389,
287,
14683,
326,
423,
9684,
286,
625,
939,
405,
30,
46506,
327,
28270,
7,
28104,
16034,
1748,
33411,
7968,
62,
312,
3268,
357,
46506,
7968,
62,
312,
16034,
7968,
62,
11377,
62,
44708,
33411,
3265,
1875,
939,
405,
8
] |
What is the 12::37.35 when hengelo , netherlands is hengelo, netherlands? | SELECT "12:37.35" FROM table_26532 WHERE "Hengelo , Netherlands" = 'Hengelo, Netherlands' | [
2061,
318,
262,
1105,
3712,
2718,
13,
2327,
618,
339,
782,
22126,
837,
2010,
372,
4447,
318,
339,
782,
22126,
11,
2010,
372,
4447,
30,
46506,
366,
1065,
25,
2718,
13,
2327,
1,
16034,
3084,
62,
22980,
2624,
33411,
366,
39,
1516,
22126,
837,
12671,
1,
796,
705,
39,
1516,
22126,
11,
12671,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1105,
3712,
2718,
13,
2327,
618,
339,
782,
22126,
837,
2010,
372,
4447,
318,
339,
782,
22126,
11,
2010,
372,
4447,
30,
46506,
366,
1065,
25,
2718,
13,
2327,
1,
16034,
3084,
62,
22980,
2624,
33411,
366,
39,
1516,
22126,
837,
12671,
1,
796,
705,
39,
1516,
22126,
11,
12671,
6
] |
What is the Year born (Age) for the player who plays Position C for the Alba Berlin club? | SELECT "Year born (Age)" FROM table_12122 WHERE "Current Club" = 'alba berlin' AND "Position" = 'c' | [
2061,
318,
262,
6280,
4642,
357,
23396,
8,
329,
262,
2137,
508,
5341,
23158,
327,
329,
262,
978,
7012,
11307,
3430,
30,
46506,
366,
17688,
4642,
357,
23396,
16725,
16034,
3084,
62,
1065,
18376,
33411,
366,
11297,
6289,
1,
796,
705,
282,
7012,
18157,
2815,
6,
5357,
366,
26545,
1,
796,
705,
66,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
6280,
4642,
357,
23396,
8,
329,
262,
2137,
508,
5341,
23158,
327,
329,
262,
978,
7012,
11307,
3430,
30,
46506,
366,
17688,
4642,
357,
23396,
16725,
16034,
3084,
62,
1065,
18376,
33411,
366,
11297,
6289,
1,
796,
705,
282,
7012,
18157,
2815,
6,
5357,
366,
26545,
1,
796,
705,
66,
6
] |
Average score of posts within a tag. | SELECT TagName, AVG(Posts.Score * 1.0) FROM Tags INNER JOIN PostTags ON Tags.Id = PostTags.TagId INNER JOIN Posts ON Posts.Id = PostTags.PostId GROUP BY TagName, Tags.Count ORDER BY 2 DESC | [
26287,
4776,
286,
6851,
1626,
257,
7621,
13,
46506,
17467,
5376,
11,
35224,
7,
21496,
13,
26595,
1635,
352,
13,
15,
8,
16034,
44789,
3268,
21479,
32357,
1268,
2947,
36142,
6177,
44789,
13,
7390,
796,
2947,
36142,
13,
24835,
7390,
3268,
21479,
32357,
1268,
12043,
6177,
12043,
13,
7390,
796,
2947,
36142,
13,
6307,
7390,
44441,
11050,
17467,
5376,
11,
44789,
13,
12332,
38678,
11050,
362,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26287,
4776,
286,
6851,
1626,
257,
7621,
13,
46506,
17467,
5376,
11,
35224,
7,
21496,
13,
26595,
1635,
352,
13,
15,
8,
16034,
44789,
3268,
21479,
32357,
1268,
2947,
36142,
6177,
44789,
13,
7390,
796,
2947,
36142,
13,
24835,
7390,
3268,
21479,
32357,
1268,
12043,
6177,
12043,
13,
7390,
796,
2947,
36142,
13,
6307,
7390,
44441,
11050,
17467,
5376,
11,
44789,
13,
12332,
38678,
11050,
362,
22196,
34
] |
A pie chart for finding the number of the parties associated with the delegates from district 1 or 2. Who served as comptrollers of the parties? | SELECT Comptroller, COUNT(Comptroller) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller | [
32,
2508,
8262,
329,
4917,
262,
1271,
286,
262,
4671,
3917,
351,
262,
15265,
422,
4783,
352,
393,
362,
13,
5338,
4983,
355,
401,
457,
36667,
286,
262,
4671,
30,
46506,
955,
44913,
11,
327,
28270,
7,
5377,
44913,
8,
16034,
3071,
7054,
309,
16,
32357,
1268,
2151,
7054,
309,
17,
6177,
309,
16,
13,
33553,
796,
309,
17,
13,
33553,
62,
2389,
33411,
309,
16,
13,
44857,
796,
352,
6375,
309,
16,
13,
44857,
796,
362,
44441,
11050,
955,
44913
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
32,
2508,
8262,
329,
4917,
262,
1271,
286,
262,
4671,
3917,
351,
262,
15265,
422,
4783,
352,
393,
362,
13,
5338,
4983,
355,
401,
457,
36667,
286,
262,
4671,
30,
46506,
955,
44913,
11,
327,
28270,
7,
5377,
44913,
8,
16034,
3071,
7054,
309,
16,
32357,
1268,
2151,
7054,
309,
17,
6177,
309,
16,
13,
33553,
796,
309,
17,
13,
33553,
62,
2389,
33411,
309,
16,
13,
44857,
796,
352,
6375,
309,
16,
13,
44857,
796,
362,
44441,
11050,
955,
44913
] |
tell me the first glucose in patient 40435 in 12/2105? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 40435) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'glucose') AND STRFTIME('%y-%m', labevents.charttime) = '2105-12' ORDER BY labevents.charttime LIMIT 1 | [
33331,
502,
262,
717,
15701,
287,
5827,
32320,
2327,
287,
1105,
14,
17,
13348,
30,
46506,
2248,
31534,
13,
2100,
84,
44709,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
32320,
2327,
8,
5357,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
4743,
1229,
577,
11537,
5357,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76,
3256,
2248,
31534,
13,
40926,
2435,
8,
796,
705,
17,
13348,
12,
1065,
6,
38678,
11050,
2248,
31534,
13,
40926,
2435,
27564,
2043,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
33331,
502,
262,
717,
15701,
287,
5827,
32320,
2327,
287,
1105,
14,
17,
13348,
30,
46506,
2248,
31534,
13,
2100,
84,
44709,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
32320,
2327,
8,
5357,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
4743,
1229,
577,
11537,
5357,
19269,
9792,
12789,
10786,
4,
88,
12,
4,
76,
3256,
2248,
31534,
13,
40926,
2435,
8,
796,
705,
17,
13348,
12,
1065,
6,
38678,
11050,
2248,
31534,
13,
40926,
2435,
27564,
2043,
352
] |
What was Rut's Slovenes percentage in 1991? | SELECT percent_of_slovenes_1991 FROM table_name_76 WHERE village__slovenian_ = "rut" | [
2061,
373,
21214,
338,
30694,
274,
5873,
287,
10249,
30,
46506,
1411,
62,
1659,
62,
82,
5439,
574,
274,
62,
24529,
16034,
3084,
62,
3672,
62,
4304,
33411,
7404,
834,
82,
5439,
574,
666,
62,
796,
366,
81,
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
] | [
2061,
373,
21214,
338,
30694,
274,
5873,
287,
10249,
30,
46506,
1411,
62,
1659,
62,
82,
5439,
574,
274,
62,
24529,
16034,
3084,
62,
3672,
62,
4304,
33411,
7404,
834,
82,
5439,
574,
666,
62,
796,
366,
81,
315,
1
] |
Released on April 12, 1968 in LP format, what was the catalog? | SELECT "Catalog" FROM table_13855 WHERE "Format" = 'lp' AND "Date" = 'april 12, 1968' | [
45037,
319,
3035,
1105,
11,
15963,
287,
18470,
5794,
11,
644,
373,
262,
18388,
30,
46506,
366,
49015,
1,
16034,
3084,
62,
20107,
2816,
33411,
366,
26227,
1,
796,
705,
34431,
6,
5357,
366,
10430,
1,
796,
705,
499,
22379,
1105,
11,
15963,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
45037,
319,
3035,
1105,
11,
15963,
287,
18470,
5794,
11,
644,
373,
262,
18388,
30,
46506,
366,
49015,
1,
16034,
3084,
62,
20107,
2816,
33411,
366,
26227,
1,
796,
705,
34431,
6,
5357,
366,
10430,
1,
796,
705,
499,
22379,
1105,
11,
15963,
6
] |
did xu guang ci or su song create the five star charts in 1094 ad ? | SELECT "creator" FROM table_204_281 WHERE "map or catalog" = 'five star charts (新儀象法要)' | [
20839,
2124,
84,
915,
648,
269,
72,
393,
424,
3496,
2251,
262,
1936,
3491,
15907,
287,
838,
5824,
512,
5633,
46506,
366,
45382,
1,
16034,
3084,
62,
18638,
62,
30368,
33411,
366,
8899,
393,
18388,
1,
796,
705,
13261,
3491,
15907,
357,
23877,
108,
161,
226,
222,
164,
109,
94,
37345,
243,
17358,
223,
33047
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
20839,
2124,
84,
915,
648,
269,
72,
393,
424,
3496,
2251,
262,
1936,
3491,
15907,
287,
838,
5824,
512,
5633,
46506,
366,
45382,
1,
16034,
3084,
62,
18638,
62,
30368,
33411,
366,
8899,
393,
18388,
1,
796,
705,
13261,
3491,
15907,
357,
23877,
108,
161,
226,
222,
164,
109,
94,
37345,
243,
17358,
223,
33047
] |
what is the drug that has been prescribed patient 8773 for two times in 12/last year? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8773) AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', prescriptions.startdate) = '12' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 = 2 | [
10919,
318,
262,
2563,
326,
468,
587,
14798,
5827,
807,
46871,
329,
734,
1661,
287,
1105,
14,
12957,
614,
30,
46506,
256,
16,
13,
30349,
16034,
357,
46506,
34092,
13,
30349,
11,
327,
28270,
7,
18302,
24370,
13,
9688,
4475,
8,
7054,
269,
16,
16034,
34092,
33411,
34092,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
807,
46871,
8,
5357,
360,
1404,
2767,
12789,
7,
18302,
24370,
13,
9688,
4475,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614,
11537,
5357,
19269,
9792,
12789,
10786,
4,
76,
3256,
34092,
13,
9688,
4475,
8,
796,
705,
1065,
6,
44441,
11050,
34092,
13,
30349,
8,
7054,
256,
16,
33411,
256,
16,
13,
66,
16,
796,
362
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
326,
468,
587,
14798,
5827,
807,
46871,
329,
734,
1661,
287,
1105,
14,
12957,
614,
30,
46506,
256,
16,
13,
30349,
16034,
357,
46506,
34092,
13,
30349,
11,
327,
28270,
7,
18302,
24370,
13,
9688,
4475,
8,
7054,
269,
16,
16034,
34092,
33411,
34092,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
807,
46871,
8,
5357,
360,
1404,
2767,
12789,
7,
18302,
24370,
13,
9688,
4475,
11,
705,
9688,
286,
614,
11537,
796,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
9688,
286,
614,
3256,
705,
12,
16,
614,
11537,
5357,
19269,
9792,
12789,
10786,
4,
76,
3256,
34092,
13,
9688,
4475,
8,
796,
705,
1065,
6,
44441,
11050,
34092,
13,
30349,
8,
7054,
256,
16,
33411,
256,
16,
13,
66,
16,
796,
362
] |
What is the number of each allergie that the student with first name Lisa has? Draw a bar chart, and could you list by the total number in desc? | SELECT T1.Allergy, COUNT(T1.Allergy) FROM Allergy_Type AS T1 JOIN Has_Allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" GROUP BY T1.Allergy ORDER BY T1.Allergy DESC | [
2061,
318,
262,
1271,
286,
1123,
30975,
494,
326,
262,
3710,
351,
717,
1438,
15378,
468,
30,
15315,
257,
2318,
8262,
11,
290,
714,
345,
1351,
416,
262,
2472,
1271,
287,
1715,
30,
46506,
309,
16,
13,
3237,
26079,
11,
327,
28270,
7,
51,
16,
13,
3237,
26079,
8,
16034,
1439,
26079,
62,
6030,
7054,
309,
16,
32357,
1268,
7875,
62,
3237,
26079,
7054,
309,
17,
6177,
309,
16,
13,
3237,
26079,
796,
309,
17,
13,
3237,
26079,
32357,
1268,
13613,
7054,
309,
18,
6177,
309,
18,
13,
1273,
84,
2389,
796,
309,
17,
13,
1273,
84,
2389,
33411,
309,
18,
13,
37,
3672,
796,
366,
44203,
1,
44441,
11050,
309,
16,
13,
3237,
26079,
38678,
11050,
309,
16,
13,
3237,
26079,
22196,
34
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
286,
1123,
30975,
494,
326,
262,
3710,
351,
717,
1438,
15378,
468,
30,
15315,
257,
2318,
8262,
11,
290,
714,
345,
1351,
416,
262,
2472,
1271,
287,
1715,
30,
46506,
309,
16,
13,
3237,
26079,
11,
327,
28270,
7,
51,
16,
13,
3237,
26079,
8,
16034,
1439,
26079,
62,
6030,
7054,
309,
16,
32357,
1268,
7875,
62,
3237,
26079,
7054,
309,
17,
6177,
309,
16,
13,
3237,
26079,
796,
309,
17,
13,
3237,
26079,
32357,
1268,
13613,
7054,
309,
18,
6177,
309,
18,
13,
1273,
84,
2389,
796,
309,
17,
13,
1273,
84,
2389,
33411,
309,
18,
13,
37,
3672,
796,
366,
44203,
1,
44441,
11050,
309,
16,
13,
3237,
26079,
38678,
11050,
309,
16,
13,
3237,
26079,
22196,
34
] |
What was the total when the set 3 score was 25 27? | SELECT "Total" FROM table_9552 WHERE "Set 3" = '25–27' | [
2061,
373,
262,
2472,
618,
262,
900,
513,
4776,
373,
1679,
2681,
30,
46506,
366,
14957,
1,
16034,
3084,
62,
24,
40427,
33411,
366,
7248,
513,
1,
796,
705,
1495,
1906,
1983,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
2472,
618,
262,
900,
513,
4776,
373,
1679,
2681,
30,
46506,
366,
14957,
1,
16034,
3084,
62,
24,
40427,
33411,
366,
7248,
513,
1,
796,
705,
1495,
1906,
1983,
6
] |
What is the lowest Game, when December is greater than 13, and when Score is '5 - 0'? | SELECT MIN("Game") FROM table_45689 WHERE "December" > '13' AND "Score" = '5 - 0' | [
2061,
318,
262,
9016,
3776,
11,
618,
3426,
318,
3744,
621,
1511,
11,
290,
618,
15178,
318,
705,
20,
532,
657,
30960,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
2231,
40523,
33411,
366,
20588,
1,
1875,
705,
1485,
6,
5357,
366,
26595,
1,
796,
705,
20,
532,
657,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
3776,
11,
618,
3426,
318,
3744,
621,
1511,
11,
290,
618,
15178,
318,
705,
20,
532,
657,
30960,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
2231,
40523,
33411,
366,
20588,
1,
1875,
705,
1485,
6,
5357,
366,
26595,
1,
796,
705,
20,
532,
657,
6
] |
What are the last names of staff with email addressed containing the substring 'wrau'? | SELECT last_name FROM staff WHERE email_address LIKE "%wrau%" | [
2061,
389,
262,
938,
3891,
286,
3085,
351,
3053,
9469,
7268,
262,
3293,
1806,
705,
29988,
84,
30960,
46506,
938,
62,
3672,
16034,
3085,
33411,
3053,
62,
21975,
34178,
36521,
29988,
84,
39658
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
938,
3891,
286,
3085,
351,
3053,
9469,
7268,
262,
3293,
1806,
705,
29988,
84,
30960,
46506,
938,
62,
3672,
16034,
3085,
33411,
3053,
62,
21975,
34178,
36521,
29988,
84,
39658
] |
what is the number of patients whose admission type is emergency and diagnoses long title is other shock without mention of trauma? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Other shock without mention of trauma" | [
10919,
318,
262,
1271,
286,
3871,
3025,
13938,
2099,
318,
6334,
290,
40567,
890,
3670,
318,
584,
6380,
1231,
3068,
286,
14649,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
3620,
49837,
45155,
1,
5357,
40567,
13,
6511,
62,
7839,
796,
366,
6395,
6380,
1231,
3068,
286,
14649,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2099,
318,
6334,
290,
40567,
890,
3670,
318,
584,
6380,
1231,
3068,
286,
14649,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
3620,
49837,
45155,
1,
5357,
40567,
13,
6511,
62,
7839,
796,
366,
6395,
6380,
1231,
3068,
286,
14649,
1
] |
Who played Mixed Doubles in 1991? | SELECT mixed_doubles FROM table_2486023_1 WHERE year = 1991 | [
8241,
2826,
35250,
5728,
7689,
287,
10249,
30,
46506,
7668,
62,
67,
280,
7689,
16034,
3084,
62,
23045,
1899,
1954,
62,
16,
33411,
614,
796,
10249
] | [
1,
1,
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,
2826,
35250,
5728,
7689,
287,
10249,
30,
46506,
7668,
62,
67,
280,
7689,
16034,
3084,
62,
23045,
1899,
1954,
62,
16,
33411,
614,
796,
10249
] |
Which Club has a Rank of 1? | SELECT "Club" FROM table_38076 WHERE "Rank" = '1' | [
13828,
6289,
468,
257,
10916,
286,
352,
30,
46506,
366,
42350,
1,
16034,
3084,
62,
23734,
4304,
33411,
366,
27520,
1,
796,
705,
16,
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
] | [
13828,
6289,
468,
257,
10916,
286,
352,
30,
46506,
366,
42350,
1,
16034,
3084,
62,
23734,
4304,
33411,
366,
27520,
1,
796,
705,
16,
6
] |
On July 15, 1984 what surface was used? | SELECT "Surface" FROM table_55415 WHERE "Date" = 'july 15, 1984' | [
2202,
2901,
1315,
11,
12844,
644,
4417,
373,
973,
30,
46506,
366,
14214,
2550,
1,
16034,
3084,
62,
2816,
35038,
33411,
366,
10430,
1,
796,
705,
73,
2062,
1315,
11,
12844,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2202,
2901,
1315,
11,
12844,
644,
4417,
373,
973,
30,
46506,
366,
14214,
2550,
1,
16034,
3084,
62,
2816,
35038,
33411,
366,
10430,
1,
796,
705,
73,
2062,
1315,
11,
12844,
6
] |
Subsets and Splits