instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
sequence | attention_mask
sequence | labels
sequence |
---|---|---|---|---|
What is Beohari's reserved for (SC/ST/None)? | SELECT "Reserved for ( SC / ST /None)" FROM table_79279 WHERE "Name" = 'beohari' | [
2061,
318,
1355,
1219,
2743,
338,
10395,
329,
357,
6173,
14,
2257,
14,
14202,
19427,
46506,
366,
4965,
8520,
329,
357,
6374,
1220,
3563,
1220,
14202,
16725,
16034,
3084,
62,
3720,
26050,
33411,
366,
5376,
1,
796,
705,
1350,
1219,
2743,
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,
318,
1355,
1219,
2743,
338,
10395,
329,
357,
6173,
14,
2257,
14,
14202,
19427,
46506,
366,
4965,
8520,
329,
357,
6374,
1220,
3563,
1220,
14202,
16725,
16034,
3084,
62,
3720,
26050,
33411,
366,
5376,
1,
796,
705,
1350,
1219,
2743,
6
] |
Show all statement id and the number of accounts for each statement. Show scatter chart. | SELECT Statement_ID, COUNT(*) FROM Accounts GROUP BY Statement_ID | [
15307,
477,
2643,
4686,
290,
262,
1271,
286,
5504,
329,
1123,
2643,
13,
5438,
41058,
8262,
13,
46506,
21983,
62,
2389,
11,
327,
28270,
7,
28104,
16034,
35584,
44441,
11050,
21983,
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
] | [
15307,
477,
2643,
4686,
290,
262,
1271,
286,
5504,
329,
1123,
2643,
13,
5438,
41058,
8262,
13,
46506,
21983,
62,
2389,
11,
327,
28270,
7,
28104,
16034,
35584,
44441,
11050,
21983,
62,
2389
] |
Which venue was number 9 for 2004? | SELECT venue FROM table_name_45 WHERE position_in_2004 = "9" | [
13828,
14359,
373,
1271,
860,
329,
5472,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
2231,
33411,
2292,
62,
259,
62,
15724,
796,
366,
24,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
14359,
373,
1271,
860,
329,
5472,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
2231,
33411,
2292,
62,
259,
62,
15724,
796,
366,
24,
1
] |
Which Comments has a Length Over All of 4.5m? | SELECT comments FROM table_name_56 WHERE length_over_all = "4.5m" | [
13828,
19502,
468,
257,
22313,
3827,
1439,
286,
604,
13,
20,
76,
30,
46506,
3651,
16034,
3084,
62,
3672,
62,
3980,
33411,
4129,
62,
2502,
62,
439,
796,
366,
19,
13,
20,
76,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19502,
468,
257,
22313,
3827,
1439,
286,
604,
13,
20,
76,
30,
46506,
3651,
16034,
3084,
62,
3672,
62,
3980,
33411,
4129,
62,
2502,
62,
439,
796,
366,
19,
13,
20,
76,
1
] |
What is Outcome, when Partner is 'Byron Black', and when Opponents is 'Goran Ivani evi Brian Macphie'? | SELECT "Outcome" FROM table_48856 WHERE "Partner" = 'byron black' AND "Opponents" = 'goran ivanišević brian macphie' | [
2061,
318,
3806,
2958,
11,
618,
35532,
318,
705,
3886,
1313,
2619,
3256,
290,
618,
9385,
3906,
318,
705,
38,
31884,
16975,
3216,
819,
72,
8403,
4100,
746,
494,
30960,
46506,
366,
7975,
2958,
1,
16034,
3084,
62,
33646,
3980,
33411,
366,
7841,
1008,
1,
796,
705,
1525,
1313,
2042,
6,
5357,
366,
27524,
3906,
1,
796,
705,
7053,
272,
21628,
3216,
32790,
1990,
72,
38325,
275,
4484,
8352,
746,
494,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3806,
2958,
11,
618,
35532,
318,
705,
3886,
1313,
2619,
3256,
290,
618,
9385,
3906,
318,
705,
38,
31884,
16975,
3216,
819,
72,
8403,
4100,
746,
494,
30960,
46506,
366,
7975,
2958,
1,
16034,
3084,
62,
33646,
3980,
33411,
366,
7841,
1008,
1,
796,
705,
1525,
1313,
2042,
6,
5357,
366,
27524,
3906,
1,
796,
705,
7053,
272,
21628,
3216,
32790,
1990,
72,
38325,
275,
4484,
8352,
746,
494,
6
] |
List the state names and the number of customers living in each state. | SELECT t2.state_province_county, COUNT(*) FROM customer_addresses AS t1 JOIN addresses AS t2 ON t1.address_id = t2.address_id GROUP BY t2.state_province_county | [
8053,
262,
1181,
3891,
290,
262,
1271,
286,
4297,
2877,
287,
1123,
1181,
13,
46506,
256,
17,
13,
5219,
62,
15234,
924,
62,
9127,
88,
11,
327,
28270,
7,
28104,
16034,
6491,
62,
2860,
16746,
7054,
256,
16,
32357,
1268,
9405,
7054,
256,
17,
6177,
256,
16,
13,
21975,
62,
312,
796,
256,
17,
13,
21975,
62,
312,
44441,
11050,
256,
17,
13,
5219,
62,
15234,
924,
62,
9127,
88
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8053,
262,
1181,
3891,
290,
262,
1271,
286,
4297,
2877,
287,
1123,
1181,
13,
46506,
256,
17,
13,
5219,
62,
15234,
924,
62,
9127,
88,
11,
327,
28270,
7,
28104,
16034,
6491,
62,
2860,
16746,
7054,
256,
16,
32357,
1268,
9405,
7054,
256,
17,
6177,
256,
16,
13,
21975,
62,
312,
796,
256,
17,
13,
21975,
62,
312,
44441,
11050,
256,
17,
13,
5219,
62,
15234,
924,
62,
9127,
88
] |
how many schools exist in total? | SELECT COUNT(DISTINCT school_code) FROM department | [
4919,
867,
4266,
2152,
287,
2472,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
1524,
62,
8189,
8,
16034,
5011
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4919,
867,
4266,
2152,
287,
2472,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
1524,
62,
8189,
8,
16034,
5011
] |
For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the sum of employee_id bin hire_date by weekday, and sort in desc by the y-axis please. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(EMPLOYEE_ID) DESC | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
11,
290,
3297,
287,
1715,
416,
262,
331,
12,
22704,
3387,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35683,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
36210,
2200,
62,
35,
6158,
1279,
705,
16942,
12,
3312,
12,
2481,
6,
38678,
11050,
35683,
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
] | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
6538,
62,
312,
9874,
11078,
62,
4475,
416,
28269,
11,
290,
3297,
287,
1715,
416,
262,
331,
12,
22704,
3387,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35683,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
16034,
4409,
33411,
36210,
2200,
62,
35,
6158,
1279,
705,
16942,
12,
3312,
12,
2481,
6,
38678,
11050,
35683,
7,
3620,
6489,
21414,
6500,
62,
2389,
8,
22196,
34
] |
Who was the leading scorer that was a visitor of the Trail Blazers? | SELECT "Leading scorer" FROM table_56787 WHERE "Visitor" = 'trail blazers' | [
8241,
373,
262,
3756,
30664,
326,
373,
257,
21493,
286,
262,
13069,
34766,
30,
46506,
366,
20451,
278,
30664,
1,
16034,
3084,
62,
20,
3134,
5774,
33411,
366,
15854,
2072,
1,
796,
705,
9535,
346,
698,
1031,
364,
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
] | [
8241,
373,
262,
3756,
30664,
326,
373,
257,
21493,
286,
262,
13069,
34766,
30,
46506,
366,
20451,
278,
30664,
1,
16034,
3084,
62,
20,
3134,
5774,
33411,
366,
15854,
2072,
1,
796,
705,
9535,
346,
698,
1031,
364,
6
] |
Name the least number of believers | SELECT MIN("Number of Believers") FROM table_26999 | [
5376,
262,
1551,
1271,
286,
23142,
46506,
20625,
7203,
15057,
286,
3944,
30296,
4943,
16034,
3084,
62,
2075,
17032
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
1551,
1271,
286,
23142,
46506,
20625,
7203,
15057,
286,
3944,
30296,
4943,
16034,
3084,
62,
2075,
17032
] |
Tell me the average size for minor third | SELECT AVG(size__steps_) FROM table_name_62 WHERE interval_name = "minor third" | [
24446,
502,
262,
2811,
2546,
329,
4159,
2368,
46506,
35224,
7,
7857,
834,
20214,
62,
8,
16034,
3084,
62,
3672,
62,
5237,
33411,
16654,
62,
3672,
796,
366,
1084,
273,
2368,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
2811,
2546,
329,
4159,
2368,
46506,
35224,
7,
7857,
834,
20214,
62,
8,
16034,
3084,
62,
3672,
62,
5237,
33411,
16654,
62,
3672,
796,
366,
1084,
273,
2368,
1
] |
A pie chart for showing the number of the musical nominee with award 'Bob Fosse' or 'Cleavant Derricks'. | SELECT Nominee, COUNT(Nominee) FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" GROUP BY Nominee | [
32,
2508,
8262,
329,
4478,
262,
1271,
286,
262,
10530,
10429,
351,
5764,
705,
18861,
376,
418,
325,
6,
393,
705,
34349,
615,
415,
9626,
23706,
4458,
46506,
21198,
500,
68,
11,
327,
28270,
7,
45,
296,
500,
68,
8,
16034,
10530,
33411,
11289,
796,
366,
29387,
11289,
1,
6375,
11289,
796,
366,
34349,
615,
415,
9626,
23706,
1,
44441,
11050,
21198,
500,
68
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4478,
262,
1271,
286,
262,
10530,
10429,
351,
5764,
705,
18861,
376,
418,
325,
6,
393,
705,
34349,
615,
415,
9626,
23706,
4458,
46506,
21198,
500,
68,
11,
327,
28270,
7,
45,
296,
500,
68,
8,
16034,
10530,
33411,
11289,
796,
366,
29387,
11289,
1,
6375,
11289,
796,
366,
34349,
615,
415,
9626,
23706,
1,
44441,
11050,
21198,
500,
68
] |
what is gender and primary disease of subject name michael witt? | SELECT demographic.gender, demographic.diagnosis FROM demographic WHERE demographic.name = "Michael Witt" | [
10919,
318,
5279,
290,
4165,
4369,
286,
2426,
1438,
285,
40302,
266,
715,
30,
46506,
16728,
13,
8388,
11,
16728,
13,
47356,
5958,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
13256,
38005,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5279,
290,
4165,
4369,
286,
2426,
1438,
285,
40302,
266,
715,
30,
46506,
16728,
13,
8388,
11,
16728,
13,
47356,
5958,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
13256,
38005,
1
] |
specify birthdate of patient shawn green | SELECT demographic.dob FROM demographic WHERE demographic.name = "Shawn Green" | [
16684,
1958,
4082,
4475,
286,
5827,
427,
3832,
4077,
46506,
16728,
13,
67,
672,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
2484,
3832,
3469,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16684,
1958,
4082,
4475,
286,
5827,
427,
3832,
4077,
46506,
16728,
13,
67,
672,
16034,
16728,
33411,
16728,
13,
3672,
796,
366,
2484,
3832,
3469,
1
] |
What was the total number for March with less than 8.77 in January, more than 1.69 in December, an average monthly addition less than 5.35, and before 2004? | SELECT COUNT("March") FROM table_41566 WHERE "January" < '8.77' AND "December" > '1.69' AND "Average Monthly Additions(in millions)" < '5.35' AND "Year" < '2004' | [
2061,
373,
262,
2472,
1271,
329,
2805,
351,
1342,
621,
807,
13,
3324,
287,
3269,
11,
517,
621,
352,
13,
3388,
287,
3426,
11,
281,
2811,
9651,
3090,
1342,
621,
642,
13,
2327,
11,
290,
878,
5472,
30,
46506,
327,
28270,
7203,
16192,
4943,
16034,
3084,
62,
35038,
2791,
33411,
366,
21339,
1,
1279,
705,
23,
13,
3324,
6,
5357,
366,
20588,
1,
1875,
705,
16,
13,
3388,
6,
5357,
366,
26287,
27573,
3060,
1756,
7,
259,
5242,
16725,
1279,
705,
20,
13,
2327,
6,
5357,
366,
17688,
1,
1279,
705,
15724,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1271,
329,
2805,
351,
1342,
621,
807,
13,
3324,
287,
3269,
11,
517,
621,
352,
13,
3388,
287,
3426,
11,
281,
2811,
9651,
3090,
1342,
621,
642,
13,
2327,
11,
290,
878,
5472,
30,
46506,
327,
28270,
7203,
16192,
4943,
16034,
3084,
62,
35038,
2791,
33411,
366,
21339,
1,
1279,
705,
23,
13,
3324,
6,
5357,
366,
20588,
1,
1875,
705,
16,
13,
3388,
6,
5357,
366,
26287,
27573,
3060,
1756,
7,
259,
5242,
16725,
1279,
705,
20,
13,
2327,
6,
5357,
366,
17688,
1,
1279,
705,
15724,
6
] |
how many trains are demu category ? | SELECT COUNT(*) FROM table_204_824 WHERE "train name" = 'demu' | [
4919,
867,
13404,
389,
1357,
84,
6536,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
23,
1731,
33411,
366,
27432,
1438,
1,
796,
705,
9536,
84,
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
] | [
4919,
867,
13404,
389,
1357,
84,
6536,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
23,
1731,
33411,
366,
27432,
1438,
1,
796,
705,
9536,
84,
6
] |
What is the Standalone in the year when Space Invaders is the Console? | SELECT "Standalone" FROM table_66310 WHERE "Console" = 'space invaders' | [
2061,
318,
262,
5751,
17749,
287,
262,
614,
618,
4687,
41671,
318,
262,
24371,
30,
46506,
366,
1273,
7642,
505,
1,
16034,
3084,
62,
2791,
26717,
33411,
366,
47581,
1,
796,
705,
13200,
39417,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
5751,
17749,
287,
262,
614,
618,
4687,
41671,
318,
262,
24371,
30,
46506,
366,
1273,
7642,
505,
1,
16034,
3084,
62,
2791,
26717,
33411,
366,
47581,
1,
796,
705,
13200,
39417,
6
] |
Top Android developers in India. | WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%hyderabad%' AND TagName = 'android' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG WHERE rank <= 100 ORDER BY UpVotes DESC | [
9126,
5565,
6505,
287,
3794,
13,
54,
10554,
1294,
1137,
62,
17513,
62,
42197,
7054,
357,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
10916,
11,
334,
13,
7390,
7054,
366,
7220,
62,
8726,
1600,
327,
28270,
7,
28104,
7054,
3205,
53,
6421,
16034,
44789,
7054,
256,
3268,
21479,
32357,
1268,
2947,
36142,
7054,
42975,
6177,
42975,
13,
24835,
7390,
796,
256,
13,
7390,
3268,
21479,
32357,
1268,
12043,
7054,
279,
6177,
279,
13,
24546,
7390,
796,
42975,
13,
6307,
7390,
3268,
21479,
32357,
1268,
39584,
7054,
410
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9126,
5565,
6505,
287,
3794,
13,
54,
10554,
1294,
1137,
62,
17513,
62,
42197,
7054,
357,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
10916,
11,
334,
13,
7390,
7054,
366,
7220,
62,
8726,
1600,
327,
28270,
7,
28104,
7054,
3205,
53,
6421,
16034,
44789,
7054,
256,
3268,
21479,
32357,
1268,
2947,
36142,
7054,
42975,
6177,
42975,
13,
24835,
7390,
796,
256,
13,
7390,
3268,
21479,
32357,
1268,
12043,
7054,
279,
6177,
279,
13,
24546,
7390,
796,
42975,
13,
6307,
7390,
3268,
21479,
32357,
1268,
39584,
7054,
410
] |
What is Score, when Place is 'T9', and when Player is 'Jeff Sluman'? | SELECT score FROM table_name_39 WHERE place = "t9" AND player = "jeff sluman" | [
2061,
318,
15178,
11,
618,
8474,
318,
705,
51,
24,
3256,
290,
618,
7853,
318,
705,
19139,
3454,
3778,
30960,
46506,
4776,
16034,
3084,
62,
3672,
62,
2670,
33411,
1295,
796,
366,
83,
24,
1,
5357,
2137,
796,
366,
73,
14822,
1017,
3778,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
15178,
11,
618,
8474,
318,
705,
51,
24,
3256,
290,
618,
7853,
318,
705,
19139,
3454,
3778,
30960,
46506,
4776,
16034,
3084,
62,
3672,
62,
2670,
33411,
1295,
796,
366,
83,
24,
1,
5357,
2137,
796,
366,
73,
14822,
1017,
3778,
1
] |
A pie chart for listing the number of the name of physicians who took some appointment. | SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Physician AS T2 ON T1.Physician = T2.EmployeeID GROUP BY Name | [
32,
2508,
8262,
329,
13487,
262,
1271,
286,
262,
1438,
286,
17206,
508,
1718,
617,
12557,
13,
46506,
6530,
11,
327,
28270,
7,
5376,
8,
16034,
2034,
49805,
7054,
309,
16,
32357,
1268,
8687,
6749,
7054,
309,
17,
6177,
309,
16,
13,
43215,
6749,
796,
309,
17,
13,
29733,
1453,
2389,
44441,
11050,
6530
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13487,
262,
1271,
286,
262,
1438,
286,
17206,
508,
1718,
617,
12557,
13,
46506,
6530,
11,
327,
28270,
7,
5376,
8,
16034,
2034,
49805,
7054,
309,
16,
32357,
1268,
8687,
6749,
7054,
309,
17,
6177,
309,
16,
13,
43215,
6749,
796,
309,
17,
13,
29733,
1453,
2389,
44441,
11050,
6530
] |
What was the 2013 finish for the tournament that had a 2007 finish of A? | SELECT "2013" FROM table_68291 WHERE "2007" = 'a' | [
2061,
373,
262,
2211,
5461,
329,
262,
7756,
326,
550,
257,
4343,
5461,
286,
317,
30,
46506,
366,
6390,
1,
16034,
3084,
62,
3104,
33551,
33411,
366,
12726,
1,
796,
705,
64,
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,
2211,
5461,
329,
262,
7756,
326,
550,
257,
4343,
5461,
286,
317,
30,
46506,
366,
6390,
1,
16034,
3084,
62,
3104,
33551,
33411,
366,
12726,
1,
796,
705,
64,
6
] |
give me the age and also the diagnoses icd9 code for estrella carroll | SELECT demographic.age, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Estrella Carroll" | [
26535,
502,
262,
2479,
290,
635,
262,
40567,
14158,
67,
24,
2438,
329,
1556,
20481,
1097,
2487,
46506,
16728,
13,
496,
11,
40567,
13,
291,
67,
24,
62,
8189,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
3672,
796,
366,
22362,
20481,
21298,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
502,
262,
2479,
290,
635,
262,
40567,
14158,
67,
24,
2438,
329,
1556,
20481,
1097,
2487,
46506,
16728,
13,
496,
11,
40567,
13,
291,
67,
24,
62,
8189,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
3672,
796,
366,
22362,
20481,
21298,
1
] |
WHAT WAS THE SCORE IN THE FINAL PLAYED AGAINST JOSE CHECA-CALVO IN THE SANT CUGAT TOURNAMENT ? | SELECT score FROM table_name_80 WHERE tournament = "sant cugat" AND opponent_in_the_final = "jose checa-calvo" | [
32971,
21725,
3336,
6374,
6965,
3268,
3336,
25261,
28180,
1961,
36218,
38604,
449,
14058,
5870,
36600,
12,
34,
1847,
29516,
3268,
3336,
311,
8643,
327,
7340,
1404,
49698,
45,
2390,
3525,
5633,
46506,
4776,
16034,
3084,
62,
3672,
62,
1795,
33411,
7756,
796,
366,
82,
415,
269,
1018,
265,
1,
5357,
6125,
62,
259,
62,
1169,
62,
20311,
796,
366,
73,
577,
1125,
6888,
12,
9948,
13038,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
21725,
3336,
6374,
6965,
3268,
3336,
25261,
28180,
1961,
36218,
38604,
449,
14058,
5870,
36600,
12,
34,
1847,
29516,
3268,
3336,
311,
8643,
327,
7340,
1404,
49698,
45,
2390,
3525,
5633,
46506,
4776,
16034,
3084,
62,
3672,
62,
1795,
33411,
7756,
796,
366,
82,
415,
269,
1018,
265,
1,
5357,
6125,
62,
259,
62,
1169,
62,
20311,
796,
366,
73,
577,
1125,
6888,
12,
9948,
13038,
1
] |
What is the Title of the Film with a Rank greater than 11 and Worldwide Gross of $131,002,597? | SELECT title FROM table_name_25 WHERE rank > 11 AND worldwide_gross = "$131,002,597" | [
2061,
318,
262,
11851,
286,
262,
13741,
351,
257,
10916,
3744,
621,
1367,
290,
33140,
21796,
286,
720,
22042,
11,
21601,
11,
43239,
30,
46506,
3670,
16034,
3084,
62,
3672,
62,
1495,
33411,
4279,
1875,
1367,
5357,
8688,
62,
47181,
796,
17971,
22042,
11,
21601,
11,
43239,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11851,
286,
262,
13741,
351,
257,
10916,
3744,
621,
1367,
290,
33140,
21796,
286,
720,
22042,
11,
21601,
11,
43239,
30,
46506,
3670,
16034,
3084,
62,
3672,
62,
1495,
33411,
4279,
1875,
1367,
5357,
8688,
62,
47181,
796,
17971,
22042,
11,
21601,
11,
43239,
1
] |
What was the enemy aircraft on 14.09.1942, when the Soviet Unit was 437 iap? | SELECT "Enemy Aircraft" FROM table_13083 WHERE "Soviet Unit" = '437 iap' AND "Date (dd.mm.yyyy)" = '14.09.1942' | [
2061,
373,
262,
4472,
6215,
319,
1478,
13,
2931,
13,
1129,
3682,
11,
618,
262,
7570,
11801,
373,
604,
2718,
1312,
499,
30,
46506,
366,
4834,
3065,
30767,
1,
16034,
3084,
62,
12952,
5999,
33411,
366,
40408,
11801,
1,
796,
705,
43284,
1312,
499,
6,
5357,
366,
10430,
357,
1860,
13,
3020,
13,
22556,
22556,
16725,
796,
705,
1415,
13,
2931,
13,
1129,
3682,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
4472,
6215,
319,
1478,
13,
2931,
13,
1129,
3682,
11,
618,
262,
7570,
11801,
373,
604,
2718,
1312,
499,
30,
46506,
366,
4834,
3065,
30767,
1,
16034,
3084,
62,
12952,
5999,
33411,
366,
40408,
11801,
1,
796,
705,
43284,
1312,
499,
6,
5357,
366,
10430,
357,
1860,
13,
3020,
13,
22556,
22556,
16725,
796,
705,
1415,
13,
2931,
13,
1129,
3682,
6
] |
What was the result of the election featuring ike skelton? | SELECT "Result" FROM table_716 WHERE "Incumbent" = 'Ike Skelton' | [
2061,
373,
262,
1255,
286,
262,
3071,
9593,
220,
522,
6146,
75,
1122,
30,
46506,
366,
23004,
1,
16034,
3084,
62,
22,
1433,
33411,
366,
25517,
2178,
298,
1,
796,
705,
40,
365,
311,
7750,
1122,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
1255,
286,
262,
3071,
9593,
220,
522,
6146,
75,
1122,
30,
46506,
366,
23004,
1,
16034,
3084,
62,
22,
1433,
33411,
366,
25517,
2178,
298,
1,
796,
705,
40,
365,
311,
7750,
1122,
6
] |
what is the minimum age of patients whose marital status is widowed and who are aged 48 years or more than that? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.age >= "48" | [
10919,
318,
262,
5288,
2479,
286,
3871,
3025,
29555,
3722,
318,
9214,
6972,
290,
508,
389,
9722,
4764,
812,
393,
517,
621,
326,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
3876,
1287,
62,
13376,
796,
366,
54,
2389,
3913,
1961,
1,
5357,
16728,
13,
496,
18189,
366,
2780,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5288,
2479,
286,
3871,
3025,
29555,
3722,
318,
9214,
6972,
290,
508,
389,
9722,
4764,
812,
393,
517,
621,
326,
30,
46506,
20625,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
3876,
1287,
62,
13376,
796,
366,
54,
2389,
3913,
1961,
1,
5357,
16728,
13,
496,
18189,
366,
2780,
1
] |
Which Staying councillors have a New council of 7, and a Previous council larger than 8? | SELECT AVG("Staying councillors") FROM table_47341 WHERE "New council" = '7' AND "Previous council" > '8' | [
13828,
520,
8369,
43321,
423,
257,
968,
6745,
286,
767,
11,
290,
257,
21801,
6745,
4025,
621,
807,
30,
46506,
35224,
7203,
1273,
8369,
43321,
4943,
16034,
3084,
62,
2857,
33660,
33411,
366,
3791,
6745,
1,
796,
705,
22,
6,
5357,
366,
21448,
6745,
1,
1875,
705,
23,
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
] | [
13828,
520,
8369,
43321,
423,
257,
968,
6745,
286,
767,
11,
290,
257,
21801,
6745,
4025,
621,
807,
30,
46506,
35224,
7203,
1273,
8369,
43321,
4943,
16034,
3084,
62,
2857,
33660,
33411,
366,
3791,
6745,
1,
796,
705,
22,
6,
5357,
366,
21448,
6745,
1,
1875,
705,
23,
6
] |
When the Away team of essendon played and the Crowd was larger than 18,704 people, which Date did this take place on? | SELECT "Date" FROM table_10097 WHERE "Crowd" > '18,704' AND "Away team" = 'essendon' | [
2215,
262,
21986,
1074,
286,
3209,
43153,
2826,
290,
262,
29452,
373,
4025,
621,
1248,
11,
32869,
661,
11,
543,
7536,
750,
428,
1011,
1295,
319,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
3064,
5607,
33411,
366,
34,
3986,
1,
1875,
705,
1507,
11,
32869,
6,
5357,
366,
32,
1014,
1074,
1,
796,
705,
408,
43153,
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
] | [
2215,
262,
21986,
1074,
286,
3209,
43153,
2826,
290,
262,
29452,
373,
4025,
621,
1248,
11,
32869,
661,
11,
543,
7536,
750,
428,
1011,
1295,
319,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
3064,
5607,
33411,
366,
34,
3986,
1,
1875,
705,
1507,
11,
32869,
6,
5357,
366,
32,
1014,
1074,
1,
796,
705,
408,
43153,
6
] |
Name the Visitor that has a Home of chicago black hawks on april 20? | SELECT visitor FROM table_name_74 WHERE home = "chicago black hawks" AND date = "april 20" | [
5376,
262,
6911,
2072,
326,
468,
257,
5995,
286,
442,
4549,
2042,
23185,
591,
319,
46593,
346,
1160,
30,
46506,
21493,
16034,
3084,
62,
3672,
62,
4524,
33411,
1363,
796,
366,
354,
4549,
2042,
23185,
591,
1,
5357,
3128,
796,
366,
499,
22379,
1160,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6911,
2072,
326,
468,
257,
5995,
286,
442,
4549,
2042,
23185,
591,
319,
46593,
346,
1160,
30,
46506,
21493,
16034,
3084,
62,
3672,
62,
4524,
33411,
1363,
796,
366,
354,
4549,
2042,
23185,
591,
1,
5357,
3128,
796,
366,
499,
22379,
1160,
1
] |
What is the average price for flights from Los Angeles to Honolulu. | SELECT AVG(price) FROM flight WHERE origin = "Los Angeles" AND destination = "Honolulu" | [
2061,
318,
262,
2811,
2756,
329,
13956,
422,
5401,
5652,
284,
43296,
13,
46506,
35224,
7,
20888,
8,
16034,
5474,
33411,
8159,
796,
366,
28903,
5652,
1,
5357,
10965,
796,
366,
29478,
39814,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
2756,
329,
13956,
422,
5401,
5652,
284,
43296,
13,
46506,
35224,
7,
20888,
8,
16034,
5474,
33411,
8159,
796,
366,
28903,
5652,
1,
5357,
10965,
796,
366,
29478,
39814,
1
] |
what is maximum age of patients whose days of hospital stay is 29 and admission year is greater than or equal to 2121? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.days_stay = "29" AND demographic.admityear >= "2121" | [
10919,
318,
5415,
2479,
286,
3871,
3025,
1528,
286,
4436,
2652,
318,
2808,
290,
13938,
614,
318,
3744,
621,
393,
4961,
284,
362,
19244,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
12545,
62,
31712,
796,
366,
1959,
1,
5357,
16728,
13,
324,
76,
414,
451,
18189,
366,
17,
19244,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5415,
2479,
286,
3871,
3025,
1528,
286,
4436,
2652,
318,
2808,
290,
13938,
614,
318,
3744,
621,
393,
4961,
284,
362,
19244,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
12545,
62,
31712,
796,
366,
1959,
1,
5357,
16728,
13,
324,
76,
414,
451,
18189,
366,
17,
19244,
1
] |
Can you tell me the average Wins that has the Goal Difference larger than -24, and the Draws larger than 7? | SELECT AVG("Wins") FROM table_60853 WHERE "Goal Difference" > '-24' AND "Draws" > '7' | [
6090,
345,
1560,
502,
262,
2811,
24423,
326,
468,
262,
25376,
43795,
4025,
621,
532,
1731,
11,
290,
262,
15315,
82,
4025,
621,
767,
30,
46506,
35224,
7203,
54,
1040,
4943,
16034,
3084,
62,
28688,
4310,
33411,
366,
49045,
43795,
1,
1875,
705,
12,
1731,
6,
5357,
366,
25302,
82,
1,
1875,
705,
22,
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
] | [
6090,
345,
1560,
502,
262,
2811,
24423,
326,
468,
262,
25376,
43795,
4025,
621,
532,
1731,
11,
290,
262,
15315,
82,
4025,
621,
767,
30,
46506,
35224,
7203,
54,
1040,
4943,
16034,
3084,
62,
28688,
4310,
33411,
366,
49045,
43795,
1,
1875,
705,
12,
1731,
6,
5357,
366,
25302,
82,
1,
1875,
705,
22,
6
] |
let me know the number of patients with brain mass; intracranial hemorrhage primary disease who had csf lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | [
1616,
502,
760,
262,
1271,
286,
3871,
351,
3632,
2347,
26,
9913,
330,
2596,
498,
42203,
496,
4165,
4369,
508,
550,
269,
28202,
2248,
1332,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
16728,
13,
47356,
5958,
796,
366,
33,
3861,
1268,
337,
10705,
26,
1268,
5446,
2246,
49,
1565,
12576,
367,
3620,
1581,
48587,
11879,
1,
5357,
2248,
13,
35522,
312,
796,
366,
34,
567,
7957,
2777,
1292,
1610,
27112
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
1616,
502,
760,
262,
1271,
286,
3871,
351,
3632,
2347,
26,
9913,
330,
2596,
498,
42203,
496,
4165,
4369,
508,
550,
269,
28202,
2248,
1332,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
16728,
13,
47356,
5958,
796,
366,
33,
3861,
1268,
337,
10705,
26,
1268,
5446,
2246,
49,
1565,
12576,
367,
3620,
1581,
48587,
11879,
1,
5357,
2248,
13,
35522,
312,
796,
366,
34,
567,
7957,
2777,
1292,
1610,
27112
] |
Site-wide rep gain per answer score. | SELECT CASE WHEN Score > 50 THEN 50 ELSE Score END AS bucket, SUM(Score * 10 + CASE WHEN AcceptedAnswerId IS NULL THEN 15 ELSE 0 END) AS REP FROM Posts WHERE PostTypeId = 2 AND Score >= 0 GROUP BY CASE WHEN Score > 50 THEN 50 ELSE Score END ORDER BY CASE WHEN Score > 50 THEN 50 ELSE Score END | [
29123,
12,
4421,
1128,
4461,
583,
3280,
4776,
13,
46506,
42001,
42099,
15178,
1875,
2026,
42243,
2026,
17852,
5188,
15178,
23578,
7054,
19236,
11,
35683,
7,
26595,
1635,
838,
1343,
42001,
42099,
21699,
276,
33706,
7390,
3180,
15697,
42243,
1315,
17852,
5188,
657,
23578,
8,
7054,
4526,
47,
16034,
12043,
33411,
2947,
6030,
7390,
796,
362,
5357,
15178,
18189,
657,
44441,
11050,
42001,
42099,
15178,
1875,
2026,
42243,
2026,
17852,
5188,
15178,
23578,
38678,
11050,
42001,
42099,
15178,
1875,
2026,
42243,
2026,
17852,
5188,
15178,
23578
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
29123,
12,
4421,
1128,
4461,
583,
3280,
4776,
13,
46506,
42001,
42099,
15178,
1875,
2026,
42243,
2026,
17852,
5188,
15178,
23578,
7054,
19236,
11,
35683,
7,
26595,
1635,
838,
1343,
42001,
42099,
21699,
276,
33706,
7390,
3180,
15697,
42243,
1315,
17852,
5188,
657,
23578,
8,
7054,
4526,
47,
16034,
12043,
33411,
2947,
6030,
7390,
796,
362,
5357,
15178,
18189,
657,
44441,
11050,
42001,
42099,
15178,
1875,
2026,
42243,
2026,
17852,
5188,
15178,
23578,
38678,
11050,
42001,
42099,
15178,
1875,
2026,
42243,
2026,
17852,
5188,
15178,
23578
] |
Show the correlation between statement id and account detail and group by statement detail in a group scatter chart. | SELECT T1.Statement_ID, T1.Account_Details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details | [
15307,
262,
16096,
1022,
2643,
4686,
290,
1848,
3703,
290,
1448,
416,
2643,
3703,
287,
257,
1448,
41058,
8262,
13,
46506,
309,
16,
13,
48682,
62,
2389,
11,
309,
16,
13,
30116,
62,
24259,
16034,
35584,
7054,
309,
16,
32357,
1268,
44936,
7054,
309,
17,
6177,
309,
16,
13,
48682,
62,
2389,
796,
309,
17,
13,
48682,
62,
2389,
44441,
11050,
21983,
62,
24259
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
16096,
1022,
2643,
4686,
290,
1848,
3703,
290,
1448,
416,
2643,
3703,
287,
257,
1448,
41058,
8262,
13,
46506,
309,
16,
13,
48682,
62,
2389,
11,
309,
16,
13,
30116,
62,
24259,
16034,
35584,
7054,
309,
16,
32357,
1268,
44936,
7054,
309,
17,
6177,
309,
16,
13,
48682,
62,
2389,
796,
309,
17,
13,
48682,
62,
2389,
44441,
11050,
21983,
62,
24259
] |
Can you tell me the Player that has the Country of united states, and the Score of 77-72-72=221? | SELECT "Player" FROM table_46991 WHERE "Country" = 'united states' AND "Score" = '77-72-72=221' | [
6090,
345,
1560,
502,
262,
7853,
326,
468,
262,
12946,
286,
16503,
2585,
11,
290,
262,
15178,
286,
8541,
12,
4761,
12,
4761,
28,
26115,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
3510,
2079,
16,
33411,
366,
33921,
1,
796,
705,
41187,
2585,
6,
5357,
366,
26595,
1,
796,
705,
3324,
12,
4761,
12,
4761,
28,
26115,
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
] | [
6090,
345,
1560,
502,
262,
7853,
326,
468,
262,
12946,
286,
16503,
2585,
11,
290,
262,
15178,
286,
8541,
12,
4761,
12,
4761,
28,
26115,
30,
46506,
366,
14140,
1,
16034,
3084,
62,
3510,
2079,
16,
33411,
366,
33921,
1,
796,
705,
41187,
2585,
6,
5357,
366,
26595,
1,
796,
705,
3324,
12,
4761,
12,
4761,
28,
26115,
6
] |
what is the number of patients whose diagnoses long title is twin birth, mate liveborn, born in hospital, delivered by cesarean section and drug type is base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Twin birth, mate liveborn, born in hospital, delivered by cesarean section" AND prescriptions.drug_type = "BASE" | [
10919,
318,
262,
1271,
286,
3871,
3025,
40567,
890,
3670,
318,
15203,
4082,
11,
16133,
2107,
6286,
11,
4642,
287,
4436,
11,
6793,
416,
269,
274,
533,
272,
2665,
290,
2563,
2099,
318,
2779,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
33411,
40567,
13,
6511,
62,
7839,
796,
366,
5080,
259,
4082
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
40567,
890,
3670,
318,
15203,
4082,
11,
16133,
2107,
6286,
11,
4642,
287,
4436,
11,
6793,
416,
269,
274,
533,
272,
2665,
290,
2563,
2099,
318,
2779,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
33411,
40567,
13,
6511,
62,
7839,
796,
366,
5080,
259,
4082
] |
Return a bar chart to show how many documents for different budget type code, I want to list from high to low by the bars. | SELECT T1.Budget_Type_Code, COUNT(T1.Budget_Type_Code) FROM Documents_with_Expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_Code = T2.Budget_Type_Code GROUP BY T1.Budget_Type_Code ORDER BY T1.Budget_Type_Code DESC | [
13615,
257,
2318,
8262,
284,
905,
703,
867,
4963,
329,
1180,
4466,
2099,
2438,
11,
314,
765,
284,
1351,
422,
1029,
284,
1877,
416,
262,
9210,
13,
46506,
309,
16,
13,
33,
29427,
62,
6030,
62,
10669,
11,
327,
28270,
7,
51,
16,
13,
33,
29427,
62,
6030,
62,
10669,
8,
16034,
33267,
62,
4480,
62,
16870,
4541,
7054,
309,
16,
32357,
1268,
6524,
62,
33,
29427,
62,
34,
4147,
7054,
309,
17,
6177,
309,
16,
13,
33,
29427,
62,
6030,
62,
10669,
796,
309,
17,
13,
33,
29427,
62,
6030,
62,
10669,
44441,
11050,
309,
16,
13,
33,
29427
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13615,
257,
2318,
8262,
284,
905,
703,
867,
4963,
329,
1180,
4466,
2099,
2438,
11,
314,
765,
284,
1351,
422,
1029,
284,
1877,
416,
262,
9210,
13,
46506,
309,
16,
13,
33,
29427,
62,
6030,
62,
10669,
11,
327,
28270,
7,
51,
16,
13,
33,
29427,
62,
6030,
62,
10669,
8,
16034,
33267,
62,
4480,
62,
16870,
4541,
7054,
309,
16,
32357,
1268,
6524,
62,
33,
29427,
62,
34,
4147,
7054,
309,
17,
6177,
309,
16,
13,
33,
29427,
62,
6030,
62,
10669,
796,
309,
17,
13,
33,
29427,
62,
6030,
62,
10669,
44441,
11050,
309,
16,
13,
33,
29427
] |
Name the highest FIPS code for coordinates of 41.827547, -74.118478 and land less than 1.196 | SELECT MAX("FIPS code") FROM table_58437 WHERE "Coordinates" = '41.827547, -74.118478' AND "Land ( sq mi )" < '1.196' | [
5376,
262,
4511,
18930,
3705,
2438,
329,
22715,
286,
6073,
13,
23,
23195,
2857,
11,
532,
4524,
13,
16817,
29059,
290,
1956,
1342,
621,
352,
13,
25272,
46506,
25882,
7203,
11674,
3705,
2438,
4943,
16034,
3084,
62,
3365,
43284,
33411,
366,
7222,
585,
17540,
1,
796,
705,
3901,
13,
23,
23195,
2857,
11,
532,
4524,
13,
16817,
29059,
6,
5357,
366,
22342,
357,
19862,
21504,
1267,
1,
1279,
705,
16,
13,
25272,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
4511,
18930,
3705,
2438,
329,
22715,
286,
6073,
13,
23,
23195,
2857,
11,
532,
4524,
13,
16817,
29059,
290,
1956,
1342,
621,
352,
13,
25272,
46506,
25882,
7203,
11674,
3705,
2438,
4943,
16034,
3084,
62,
3365,
43284,
33411,
366,
7222,
585,
17540,
1,
796,
705,
3901,
13,
23,
23195,
2857,
11,
532,
4524,
13,
16817,
29059,
6,
5357,
366,
22342,
357,
19862,
21504,
1267,
1,
1279,
705,
16,
13,
25272,
6
] |
let's count the number of times patient 28277 has received a fus/refus 9 vertebrae procedure since 4 years ago. | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'fus/refus 9 vertebrae') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28277) AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-4 year') | [
1616,
338,
954,
262,
1271,
286,
1661,
5827,
2579,
27019,
468,
2722,
257,
277,
385,
14,
5420,
385,
860,
30362,
16057,
68,
8771,
1201,
604,
812,
2084,
13,
46506,
327,
28270,
7,
28104,
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,
69,
385,
14,
5420,
385,
860,
30362,
16057,
68,
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
] | [
1616,
338,
954,
262,
1271,
286,
1661,
5827,
2579,
27019,
468,
2722,
257,
277,
385,
14,
5420,
385,
860,
30362,
16057,
68,
8771,
1201,
604,
812,
2084,
13,
46506,
327,
28270,
7,
28104,
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,
69,
385,
14,
5420,
385,
860,
30362,
16057,
68,
11537
] |
Which team has a song based on 'wee deoch an doris'? | SELECT "Club name" FROM table_30430 WHERE "Basis for team song" = 'Wee Deoch an Doris' | [
13828,
1074,
468,
257,
3496,
1912,
319,
705,
732,
68,
390,
5374,
281,
288,
37279,
30960,
46506,
366,
42350,
1438,
1,
16034,
3084,
62,
21288,
1270,
33411,
366,
15522,
271,
329,
1074,
3496,
1,
796,
705,
1135,
68,
1024,
5374,
281,
12528,
271,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1074,
468,
257,
3496,
1912,
319,
705,
732,
68,
390,
5374,
281,
288,
37279,
30960,
46506,
366,
42350,
1438,
1,
16034,
3084,
62,
21288,
1270,
33411,
366,
15522,
271,
329,
1074,
3496,
1,
796,
705,
1135,
68,
1024,
5374,
281,
12528,
271,
6
] |
On which date did the Indians have a record of 67-58 | SELECT date FROM table_name_92 WHERE record = "67-58" | [
2202,
543,
3128,
750,
262,
12746,
423,
257,
1700,
286,
8275,
12,
3365,
46506,
3128,
16034,
3084,
62,
3672,
62,
5892,
33411,
1700,
796,
366,
3134,
12,
3365,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2202,
543,
3128,
750,
262,
12746,
423,
257,
1700,
286,
8275,
12,
3365,
46506,
3128,
16034,
3084,
62,
3672,
62,
5892,
33411,
1700,
796,
366,
3134,
12,
3365,
1
] |
When 7th bw attached to 43rd sw is the unit what is the b-52 model? | SELECT "B-52 Model" FROM table_73073 WHERE "Unit" = '7th BW attached to 43rd SW' | [
2215,
767,
400,
275,
86,
7223,
284,
5946,
4372,
1509,
318,
262,
4326,
644,
318,
262,
275,
12,
4309,
2746,
30,
46506,
366,
33,
12,
4309,
9104,
1,
16034,
3084,
62,
43916,
4790,
33411,
366,
26453,
1,
796,
705,
22,
400,
37869,
7223,
284,
5946,
4372,
12672,
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
] | [
2215,
767,
400,
275,
86,
7223,
284,
5946,
4372,
1509,
318,
262,
4326,
644,
318,
262,
275,
12,
4309,
2746,
30,
46506,
366,
33,
12,
4309,
9104,
1,
16034,
3084,
62,
43916,
4790,
33411,
366,
26453,
1,
796,
705,
22,
400,
37869,
7223,
284,
5946,
4372,
12672,
6
] |
what is the minimum total cost of the hospital which include glucose - csf until 2102? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'glucose - csf')) AND STRFTIME('%y', cost.chargetime) <= '2102' GROUP BY cost.patienthealthsystemstayid) AS t1 | [
10919,
318,
262,
5288,
2472,
1575,
286,
262,
4436,
543,
2291,
15701,
532,
269,
28202,
1566,
362,
15377,
30,
46506,
20625,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
35683,
7,
15805,
13,
15805,
8,
7054,
269,
16,
16034,
1575,
33411,
1575,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
2248,
13,
26029,
20850,
31712,
312,
16034,
2248,
33411,
2248,
13,
23912,
3672,
796,
705,
4743,
1229,
577,
532,
269,
28202,
6,
4008,
5357,
19269,
9792,
12789,
10786
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5288,
2472,
1575,
286,
262,
4436,
543,
2291,
15701,
532,
269,
28202,
1566,
362,
15377,
30,
46506,
20625,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
35683,
7,
15805,
13,
15805,
8,
7054,
269,
16,
16034,
1575,
33411,
1575,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
2248,
13,
26029,
20850,
31712,
312,
16034,
2248,
33411,
2248,
13,
23912,
3672,
796,
705,
4743,
1229,
577,
532,
269,
28202,
6,
4008,
5357,
19269,
9792,
12789,
10786
] |
How many Times have a Reaction Time larger than 0.17500000000000002, and a Lane of 3? | SELECT COUNT("Time") FROM table_13693 WHERE "Reaction Time" > '0.17500000000000002' AND "Lane" = '3' | [
2437,
867,
3782,
423,
257,
39912,
3862,
4025,
621,
657,
13,
17430,
8269,
20483,
17,
11,
290,
257,
15016,
286,
513,
30,
46506,
327,
28270,
7203,
7575,
4943,
16034,
3084,
62,
1485,
48528,
33411,
366,
3041,
2673,
3862,
1,
1875,
705,
15,
13,
17430,
8269,
20483,
17,
6,
5357,
366,
43,
1531,
1,
796,
705,
18,
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
] | [
2437,
867,
3782,
423,
257,
39912,
3862,
4025,
621,
657,
13,
17430,
8269,
20483,
17,
11,
290,
257,
15016,
286,
513,
30,
46506,
327,
28270,
7203,
7575,
4943,
16034,
3084,
62,
1485,
48528,
33411,
366,
3041,
2673,
3862,
1,
1875,
705,
15,
13,
17430,
8269,
20483,
17,
6,
5357,
366,
43,
1531,
1,
796,
705,
18,
6
] |
What was the race of the person executed on December 27, 1827? | SELECT "Race" FROM table_69977 WHERE "Date of Execution" = 'december 27, 1827' | [
2061,
373,
262,
3234,
286,
262,
1048,
10945,
319,
3426,
2681,
11,
1248,
1983,
30,
46506,
366,
35157,
1,
16034,
3084,
62,
47325,
3324,
33411,
366,
10430,
286,
37497,
1,
796,
705,
2934,
3273,
2681,
11,
1248,
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,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
3234,
286,
262,
1048,
10945,
319,
3426,
2681,
11,
1248,
1983,
30,
46506,
366,
35157,
1,
16034,
3084,
62,
47325,
3324,
33411,
366,
10430,
286,
37497,
1,
796,
705,
2934,
3273,
2681,
11,
1248,
1983,
6
] |
Who has Took Office of march 4, 1875? | SELECT name FROM table_name_67 WHERE took_office = "march 4, 1875" | [
8241,
468,
309,
566,
4452,
286,
9960,
604,
11,
1248,
2425,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
3134,
33411,
1718,
62,
31810,
796,
366,
76,
998,
604,
11,
1248,
2425,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
468,
309,
566,
4452,
286,
9960,
604,
11,
1248,
2425,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
3134,
33411,
1718,
62,
31810,
796,
366,
76,
998,
604,
11,
1248,
2425,
1
] |
How many total wins are associated with events with 1 top-10? | SELECT SUM(wins) FROM table_name_63 WHERE top_10 = 1 | [
2437,
867,
2472,
7864,
389,
3917,
351,
2995,
351,
352,
1353,
12,
940,
30,
46506,
35683,
7,
86,
1040,
8,
16034,
3084,
62,
3672,
62,
5066,
33411,
1353,
62,
940,
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
] | [
2437,
867,
2472,
7864,
389,
3917,
351,
2995,
351,
352,
1353,
12,
940,
30,
46506,
35683,
7,
86,
1040,
8,
16034,
3084,
62,
3672,
62,
5066,
33411,
1353,
62,
940,
796,
352
] |
Which Title has an Appointed by of Millard Fillmore? | SELECT "Title" FROM table_80070 WHERE "Appointed by" = 'millard fillmore' | [
13828,
11851,
468,
281,
2034,
20909,
416,
286,
9212,
446,
27845,
3549,
30,
46506,
366,
19160,
1,
16034,
3084,
62,
7410,
2154,
33411,
366,
4677,
20909,
416,
1,
796,
705,
17805,
446,
6070,
3549,
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
] | [
13828,
11851,
468,
281,
2034,
20909,
416,
286,
9212,
446,
27845,
3549,
30,
46506,
366,
19160,
1,
16034,
3084,
62,
7410,
2154,
33411,
366,
4677,
20909,
416,
1,
796,
705,
17805,
446,
6070,
3549,
6
] |
For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the average of code , and group by attribute name, and could you list bar in descending order? | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1438,
290,
262,
2811,
286,
2438,
837,
290,
1448,
416,
11688,
1438,
11,
290,
714,
345,
1351,
2318,
287,
31491,
1502,
30,
46506,
309,
17,
13,
5376,
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,
5376,
38678,
11050,
309,
17,
13,
5376,
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
] | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1438,
290,
262,
2811,
286,
2438,
837,
290,
1448,
416,
11688,
1438,
11,
290,
714,
345,
1351,
2318,
287,
31491,
1502,
30,
46506,
309,
17,
13,
5376,
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,
5376,
38678,
11050,
309,
17,
13,
5376,
22196,
34
] |
What is the minimum stolen ends record where the pa record is 40? | SELECT MIN(stolen_ends) FROM table_29545993_3 WHERE pa = 40 | [
2061,
318,
262,
5288,
9909,
5645,
1700,
810,
262,
14187,
1700,
318,
2319,
30,
46506,
20625,
7,
301,
8622,
62,
2412,
8,
16034,
3084,
62,
25710,
2231,
44821,
62,
18,
33411,
14187,
796,
2319
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5288,
9909,
5645,
1700,
810,
262,
14187,
1700,
318,
2319,
30,
46506,
20625,
7,
301,
8622,
62,
2412,
8,
16034,
3084,
62,
25710,
2231,
44821,
62,
18,
33411,
14187,
796,
2319
] |
Which Champion has a Runner-up of florian mayer, and a Score of 7 6(6), 4 6, 7 5? | SELECT champion FROM table_name_96 WHERE runner_up = "florian mayer" AND score = "7–6(6), 4–6, 7–5" | [
13828,
15869,
468,
257,
21529,
12,
929,
286,
781,
22618,
743,
263,
11,
290,
257,
15178,
286,
767,
718,
7,
21,
828,
604,
718,
11,
767,
642,
30,
46506,
8783,
16034,
3084,
62,
3672,
62,
4846,
33411,
17490,
62,
929,
796,
366,
2704,
22618,
743,
263,
1,
5357,
4776,
796,
366,
22,
1906,
21,
7,
21,
828,
604,
1906,
21,
11,
767,
1906,
20,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15869,
468,
257,
21529,
12,
929,
286,
781,
22618,
743,
263,
11,
290,
257,
15178,
286,
767,
718,
7,
21,
828,
604,
718,
11,
767,
642,
30,
46506,
8783,
16034,
3084,
62,
3672,
62,
4846,
33411,
17490,
62,
929,
796,
366,
2704,
22618,
743,
263,
1,
5357,
4776,
796,
366,
22,
1906,
21,
7,
21,
828,
604,
1906,
21,
11,
767,
1906,
20,
1
] |
What is the average number of points of the team with more than 18 played? | SELECT AVG("Points") FROM table_33989 WHERE "Played" > '18' | [
2061,
318,
262,
2811,
1271,
286,
2173,
286,
262,
1074,
351,
517,
621,
1248,
2826,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
2091,
42520,
33411,
366,
11002,
276,
1,
1875,
705,
1507,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
1271,
286,
2173,
286,
262,
1074,
351,
517,
621,
1248,
2826,
30,
46506,
35224,
7203,
40710,
4943,
16034,
3084,
62,
2091,
42520,
33411,
366,
11002,
276,
1,
1875,
705,
1507,
6
] |
What was the run 3 for the team with a run 1 of 1:17.6? | SELECT "Run 3" FROM table_47139 WHERE "Run 1" = '1:17.6' | [
2061,
373,
262,
1057,
513,
329,
262,
1074,
351,
257,
1057,
352,
286,
352,
25,
1558,
13,
21,
30,
46506,
366,
10987,
513,
1,
16034,
3084,
62,
2857,
20219,
33411,
366,
10987,
352,
1,
796,
705,
16,
25,
1558,
13,
21,
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,
1057,
513,
329,
262,
1074,
351,
257,
1057,
352,
286,
352,
25,
1558,
13,
21,
30,
46506,
366,
10987,
513,
1,
16034,
3084,
62,
2857,
20219,
33411,
366,
10987,
352,
1,
796,
705,
16,
25,
1558,
13,
21,
6
] |
How many college/junior/club teams are from Sweden? | SELECT COUNT(college_junior_club_team) FROM table_2850912_5 WHERE nationality = "Sweden" | [
2437,
867,
4152,
14,
29741,
1504,
14,
18664,
3466,
389,
422,
10710,
30,
46506,
327,
28270,
7,
44107,
62,
29741,
1504,
62,
18664,
62,
15097,
8,
16034,
3084,
62,
2078,
29022,
1065,
62,
20,
33411,
29835,
796,
366,
10462,
31829,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4152,
14,
29741,
1504,
14,
18664,
3466,
389,
422,
10710,
30,
46506,
327,
28270,
7,
44107,
62,
29741,
1504,
62,
18664,
62,
15097,
8,
16034,
3084,
62,
2078,
29022,
1065,
62,
20,
33411,
29835,
796,
366,
10462,
31829,
1
] |
For a country of Spain, place of t6, what is the Money ($)? | SELECT money___$__ FROM table_name_44 WHERE place = "t6" AND country = "spain" | [
1890,
257,
1499,
286,
8602,
11,
1295,
286,
256,
21,
11,
644,
318,
262,
12911,
7198,
19427,
46506,
1637,
17569,
3,
834,
16034,
3084,
62,
3672,
62,
2598,
33411,
1295,
796,
366,
83,
21,
1,
5357,
1499,
796,
366,
2777,
391,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
257,
1499,
286,
8602,
11,
1295,
286,
256,
21,
11,
644,
318,
262,
12911,
7198,
19427,
46506,
1637,
17569,
3,
834,
16034,
3084,
62,
3672,
62,
2598,
33411,
1295,
796,
366,
83,
21,
1,
5357,
1499,
796,
366,
2777,
391,
1
] |
Which chassis was made in 1993? | SELECT "Chassis" FROM table_69578 WHERE "Year" = '1993' | [
13828,
24587,
373,
925,
287,
9656,
30,
46506,
366,
1925,
20297,
1,
16034,
3084,
62,
3388,
38907,
33411,
366,
17688,
1,
796,
705,
24465,
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,
24587,
373,
925,
287,
9656,
30,
46506,
366,
1925,
20297,
1,
16034,
3084,
62,
3388,
38907,
33411,
366,
17688,
1,
796,
705,
24465,
6
] |
What is the name for district total:? | SELECT name FROM table_name_80 WHERE district = "total:" | [
2061,
318,
262,
1438,
329,
4783,
2472,
25,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
1795,
33411,
4783,
796,
366,
23350,
11097
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1438,
329,
4783,
2472,
25,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
1795,
33411,
4783,
796,
366,
23350,
11097
] |
Name the most rr1 pts for 7 ranking | SELECT MAX(rr1_pts) FROM table_21471897_2 WHERE ranking = 7 | [
5376,
262,
749,
374,
81,
16,
43344,
329,
767,
12759,
46506,
25882,
7,
21062,
16,
62,
457,
82,
8,
16034,
3084,
62,
17,
20198,
1507,
5607,
62,
17,
33411,
12759,
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,
1
] | [
5376,
262,
749,
374,
81,
16,
43344,
329,
767,
12759,
46506,
25882,
7,
21062,
16,
62,
457,
82,
8,
16034,
3084,
62,
17,
20198,
1507,
5607,
62,
17,
33411,
12759,
796,
767
] |
Just how badly are W3Schools answers treated?. | SELECT Posts.Id AS "post_link", COUNT(Upvotes.Id) AS UpvoteCount, COUNT(Downvotes.Id) AS DownvoteCount FROM Posts LEFT JOIN Votes AS Upvotes ON Upvotes.PostId = Posts.Id LEFT JOIN Votes AS Downvotes ON Downvotes.PostId = Posts.Id WHERE Upvotes.VoteTypeId = 2 AND Downvotes.VoteTypeId = 3 AND Posts.PostTypeId = 2 AND Posts.Body LIKE '%w3schools%' GROUP BY Posts.Id ORDER BY DownvoteCount DESC LIMIT 50 | [
5703,
703,
11234,
389,
370,
18,
26130,
82,
7429,
5716,
30,
13,
46506,
12043,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
327,
28270,
7,
4933,
29307,
13,
7390,
8,
7054,
3205,
27257,
12332,
11,
327,
28270,
7,
8048,
29307,
13,
7390,
8,
7054,
5588,
27257,
12332,
16034,
12043,
12509,
9792,
32357,
1268,
39584,
7054,
3205,
29307,
6177,
3205,
29307,
13,
6307,
7390,
796,
12043,
13,
7390,
12509,
9792,
32357,
1268,
39584,
7054,
5588,
29307,
6177,
5588,
29307,
13,
6307,
7390,
796,
12043,
13,
7390,
33411,
3205,
29307,
13,
37394,
6030,
7390,
796,
362,
5357,
5588,
29307,
13,
37394,
6030
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5703,
703,
11234,
389,
370,
18,
26130,
82,
7429,
5716,
30,
13,
46506,
12043,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
327,
28270,
7,
4933,
29307,
13,
7390,
8,
7054,
3205,
27257,
12332,
11,
327,
28270,
7,
8048,
29307,
13,
7390,
8,
7054,
5588,
27257,
12332,
16034,
12043,
12509,
9792,
32357,
1268,
39584,
7054,
3205,
29307,
6177,
3205,
29307,
13,
6307,
7390,
796,
12043,
13,
7390,
12509,
9792,
32357,
1268,
39584,
7054,
5588,
29307,
6177,
5588,
29307,
13,
6307,
7390,
796,
12043,
13,
7390,
33411,
3205,
29307,
13,
37394,
6030,
7390,
796,
362,
5357,
5588,
29307,
13,
37394,
6030
] |
provide the number of patients whose diagnoses short title is abn react-surg proc nec and lab test fluid is cerebrospinal fluid (csf)? | 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 = "Abn react-surg proc NEC" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | [
15234,
485,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
450,
77,
6324,
12,
82,
3686,
13834,
27576,
290,
2248,
1332,
11711,
318,
6736,
7957,
2777,
1292,
11711,
357,
6359,
69,
19427,
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,
4826,
77,
6324,
12,
82
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15234,
485,
262,
1271,
286,
3871,
3025,
40567,
1790,
3670,
318,
450,
77,
6324,
12,
82,
3686,
13834,
27576,
290,
2248,
1332,
11711,
318,
6736,
7957,
2777,
1292,
11711,
357,
6359,
69,
19427,
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,
4826,
77,
6324,
12,
82
] |
Name the average earnings for rank of 3 and wins less than 3 | SELECT AVG(earnings___) AS $__ FROM table_name_34 WHERE rank = 3 AND wins < 3 | [
5376,
262,
2811,
12042,
329,
4279,
286,
513,
290,
7864,
1342,
621,
513,
46506,
35224,
7,
451,
23400,
17569,
8,
7054,
720,
834,
16034,
3084,
62,
3672,
62,
2682,
33411,
4279,
796,
513,
5357,
7864,
1279,
513
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
2811,
12042,
329,
4279,
286,
513,
290,
7864,
1342,
621,
513,
46506,
35224,
7,
451,
23400,
17569,
8,
7054,
720,
834,
16034,
3084,
62,
3672,
62,
2682,
33411,
4279,
796,
513,
5357,
7864,
1279,
513
] |
count the number of patients who had been diagnosed with fetal/neonatal jaund nos until 2104. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'fetal/neonatal jaund nos') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104') | [
9127,
262,
1271,
286,
3871,
508,
550,
587,
14641,
351,
27652,
14,
710,
261,
10254,
474,
14677,
43630,
1566,
362,
13464,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
25349,
13,
32796,
62,
312,
8,
16034,
25349,
33411,
25349,
13,
18108,
76,
62,
312,
3268,
357,
46506,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
16034,
40567,
62,
291,
67,
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
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
9127,
262,
1271,
286,
3871,
508,
550,
587,
14641,
351,
27652,
14,
710,
261,
10254,
474,
14677,
43630,
1566,
362,
13464,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
25349,
13,
32796,
62,
312,
8,
16034,
25349,
33411,
25349,
13,
18108,
76,
62,
312,
3268,
357,
46506,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
16034,
40567,
62,
291,
67,
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
] |
this year, patient 025-10988 was diagnosed for the first time with what? | SELECT diagnosis.diagnosisname FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-10988')) AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY diagnosis.diagnosistime LIMIT 1 | [
5661,
614,
11,
5827,
657,
1495,
12,
14454,
3459,
373,
14641,
329,
262,
717,
640,
351,
644,
30,
46506,
13669,
13,
47356,
5958,
3672,
16034,
13669,
33411,
13669,
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,
36629,
12,
14454,
3459,
6,
4008,
5357,
360,
1404,
2767,
12789,
7,
47356,
5958,
13,
47356,
418,
396,
524,
11,
705,
9688,
286,
614,
11537,
796,
360
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11,
5827,
657,
1495,
12,
14454,
3459,
373,
14641,
329,
262,
717,
640,
351,
644,
30,
46506,
13669,
13,
47356,
5958,
3672,
16034,
13669,
33411,
13669,
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,
36629,
12,
14454,
3459,
6,
4008,
5357,
360,
1404,
2767,
12789,
7,
47356,
5958,
13,
47356,
418,
396,
524,
11,
705,
9688,
286,
614,
11537,
796,
360
] |
What is every class with a position of guard and Tal Brody as the player? | SELECT class FROM table_22824297_1 WHERE position = "Guard" AND player = "Tal Brody" | [
2061,
318,
790,
1398,
351,
257,
2292,
286,
4860,
290,
7193,
2806,
9892,
355,
262,
2137,
30,
46506,
1398,
16034,
3084,
62,
23815,
1731,
26561,
62,
16,
33411,
2292,
796,
366,
24502,
1,
5357,
2137,
796,
366,
31466,
2806,
9892,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1398,
351,
257,
2292,
286,
4860,
290,
7193,
2806,
9892,
355,
262,
2137,
30,
46506,
1398,
16034,
3084,
62,
23815,
1731,
26561,
62,
16,
33411,
2292,
796,
366,
24502,
1,
5357,
2137,
796,
366,
31466,
2806,
9892,
1
] |
What is the medal total of Denmark? | SELECT COUNT(total) FROM table_name_52 WHERE nation = "denmark" | [
2061,
318,
262,
18279,
2472,
286,
16490,
30,
46506,
327,
28270,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
4309,
33411,
3277,
796,
366,
6559,
4102,
1
] | [
1,
1,
1,
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,
18279,
2472,
286,
16490,
30,
46506,
327,
28270,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
4309,
33411,
3277,
796,
366,
6559,
4102,
1
] |
Show the names of people, and dates and venues of debates they are on the affirmative side. | SELECT T3.name, T2.date, T2.venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.debate_id = T2.debate_id JOIN people AS T3 ON T1.affirmative = T3.people_id | [
15307,
262,
3891,
286,
661,
11,
290,
9667,
290,
22276,
286,
15389,
484,
389,
319,
262,
27990,
1735,
13,
46506,
309,
18,
13,
3672,
11,
309,
17,
13,
4475,
11,
309,
17,
13,
4080,
16034,
4384,
62,
15332,
7054,
309,
16,
32357,
1268,
4384,
7054,
309,
17,
6177,
309,
16,
13,
11275,
378,
62,
312,
796,
309,
17,
13,
11275,
378,
62,
312,
32357,
1268,
661,
7054,
309,
18,
6177,
309,
16,
13,
2001,
2533,
876,
796,
309,
18,
13,
15332,
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
] | [
15307,
262,
3891,
286,
661,
11,
290,
9667,
290,
22276,
286,
15389,
484,
389,
319,
262,
27990,
1735,
13,
46506,
309,
18,
13,
3672,
11,
309,
17,
13,
4475,
11,
309,
17,
13,
4080,
16034,
4384,
62,
15332,
7054,
309,
16,
32357,
1268,
4384,
7054,
309,
17,
6177,
309,
16,
13,
11275,
378,
62,
312,
796,
309,
17,
13,
11275,
378,
62,
312,
32357,
1268,
661,
7054,
309,
18,
6177,
309,
16,
13,
2001,
2533,
876,
796,
309,
18,
13,
15332,
62,
312
] |
What is Time, when Lyricist(s) is Giorgos Moukidis, and when English Translation is 'Nowhere'? | SELECT "Time" FROM table_60618 WHERE "Lyricist(s)" = 'giorgos moukidis' AND "English translation" = 'nowhere' | [
2061,
318,
3862,
11,
618,
9334,
1173,
396,
7,
82,
8,
318,
402,
1504,
70,
418,
337,
38960,
29207,
11,
290,
618,
3594,
33322,
318,
705,
3844,
1456,
30960,
46506,
366,
7575,
1,
16034,
3084,
62,
33206,
1507,
33411,
366,
31633,
1173,
396,
7,
82,
16725,
796,
705,
70,
1504,
70,
418,
285,
38960,
29207,
6,
5357,
366,
15823,
11059,
1,
796,
705,
2197,
1456,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
3862,
11,
618,
9334,
1173,
396,
7,
82,
8,
318,
402,
1504,
70,
418,
337,
38960,
29207,
11,
290,
618,
3594,
33322,
318,
705,
3844,
1456,
30960,
46506,
366,
7575,
1,
16034,
3084,
62,
33206,
1507,
33411,
366,
31633,
1173,
396,
7,
82,
16725,
796,
705,
70,
1504,
70,
418,
285,
38960,
29207,
6,
5357,
366,
15823,
11059,
1,
796,
705,
2197,
1456,
6
] |
What parish has the lowest area and a population of more than 1,776 and a 579 of 5,008 census ranking? | SELECT MIN("Area km 2") FROM table_61532 WHERE "Population" > '1,776' AND "Census Ranking" = '579 of 5,008' | [
2061,
28830,
468,
262,
9016,
1989,
290,
257,
3265,
286,
517,
621,
352,
11,
39509,
290,
257,
642,
3720,
286,
642,
11,
25257,
21649,
12759,
30,
46506,
20625,
7203,
30547,
10571,
362,
4943,
16034,
3084,
62,
47007,
2624,
33411,
366,
45251,
1,
1875,
705,
16,
11,
39509,
6,
5357,
366,
34,
7314,
45407,
1,
796,
705,
41734,
286,
642,
11,
25257,
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
] | [
2061,
28830,
468,
262,
9016,
1989,
290,
257,
3265,
286,
517,
621,
352,
11,
39509,
290,
257,
642,
3720,
286,
642,
11,
25257,
21649,
12759,
30,
46506,
20625,
7203,
30547,
10571,
362,
4943,
16034,
3084,
62,
47007,
2624,
33411,
366,
45251,
1,
1875,
705,
16,
11,
39509,
6,
5357,
366,
34,
7314,
45407,
1,
796,
705,
41734,
286,
642,
11,
25257,
6
] |
What was the lowest number of pieces for a board released in 1984? | SELECT MIN("Pieces") FROM table_50304 WHERE "Release" = '1984' | [
2061,
373,
262,
9016,
1271,
286,
5207,
329,
257,
3096,
2716,
287,
12844,
30,
46506,
20625,
7203,
48223,
728,
4943,
16034,
3084,
62,
1120,
21288,
33411,
366,
26362,
1,
796,
705,
28296,
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,
9016,
1271,
286,
5207,
329,
257,
3096,
2716,
287,
12844,
30,
46506,
20625,
7203,
48223,
728,
4943,
16034,
3084,
62,
1120,
21288,
33411,
366,
26362,
1,
796,
705,
28296,
6
] |
When fc schwandorf is the oberpfalz what is the oberbayern b? | SELECT "Oberbayern B" FROM table_25742 WHERE "Oberpfalz" = 'FC Schwandorf' | [
2215,
277,
66,
5513,
86,
392,
24263,
318,
262,
267,
527,
79,
42932,
89,
644,
318,
262,
267,
527,
24406,
1142,
275,
30,
46506,
366,
46,
527,
24406,
1142,
347,
1,
16034,
3084,
62,
28676,
3682,
33411,
366,
46,
527,
79,
42932,
89,
1,
796,
705,
4851,
20469,
392,
24263,
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
] | [
2215,
277,
66,
5513,
86,
392,
24263,
318,
262,
267,
527,
79,
42932,
89,
644,
318,
262,
267,
527,
24406,
1142,
275,
30,
46506,
366,
46,
527,
24406,
1142,
347,
1,
16034,
3084,
62,
28676,
3682,
33411,
366,
46,
527,
79,
42932,
89,
1,
796,
705,
4851,
20469,
392,
24263,
6
] |
What is ramtha when jeel is 1-0 and hussein is 1-0? | SELECT ramtha FROM table_26173063_2 WHERE jeel = "1-0" AND hussein = "1-0" | [
2061,
318,
15770,
12898,
618,
11223,
417,
318,
352,
12,
15,
290,
4791,
20719,
318,
352,
12,
15,
30,
46506,
15770,
12898,
16034,
3084,
62,
2075,
1558,
1270,
5066,
62,
17,
33411,
11223,
417,
796,
366,
16,
12,
15,
1,
5357,
4791,
20719,
796,
366,
16,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
15770,
12898,
618,
11223,
417,
318,
352,
12,
15,
290,
4791,
20719,
318,
352,
12,
15,
30,
46506,
15770,
12898,
16034,
3084,
62,
2075,
1558,
1270,
5066,
62,
17,
33411,
11223,
417,
796,
366,
16,
12,
15,
1,
5357,
4791,
20719,
796,
366,
16,
12,
15,
1
] |
return me the paper after 2000 in Databases area with more than 200 citations . | SELECT publication.title FROM domain, domain_publication, publication WHERE domain.did = domain_publication.did AND domain.name = 'Databases' AND publication.citation_num > 200 AND publication.pid = domain_publication.pid AND publication.year > 2000 | [
7783,
502,
262,
3348,
706,
4751,
287,
16092,
18826,
1989,
351,
517,
621,
939,
33499,
764,
46506,
9207,
13,
7839,
16034,
7386,
11,
7386,
62,
11377,
341,
11,
9207,
33411,
7386,
13,
20839,
796,
7386,
62,
11377,
341,
13,
20839,
5357,
7386,
13,
3672,
796,
705,
27354,
18826,
6,
5357,
9207,
13,
66,
3780,
62,
22510,
1875,
939,
5357,
9207,
13,
35317,
796,
7386,
62,
11377,
341,
13,
35317,
5357,
9207,
13,
1941,
1875,
4751
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
7783,
502,
262,
3348,
706,
4751,
287,
16092,
18826,
1989,
351,
517,
621,
939,
33499,
764,
46506,
9207,
13,
7839,
16034,
7386,
11,
7386,
62,
11377,
341,
11,
9207,
33411,
7386,
13,
20839,
796,
7386,
62,
11377,
341,
13,
20839,
5357,
7386,
13,
3672,
796,
705,
27354,
18826,
6,
5357,
9207,
13,
66,
3780,
62,
22510,
1875,
939,
5357,
9207,
13,
35317,
796,
7386,
62,
11377,
341,
13,
35317,
5357,
9207,
13,
1941,
1875,
4751
] |
Which Place has a To par of 8? | SELECT place FROM table_name_19 WHERE to_par = "–8" | [
13828,
8474,
468,
257,
1675,
1582,
286,
807,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
1129,
33411,
284,
62,
1845,
796,
366,
1906,
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
] | [
13828,
8474,
468,
257,
1675,
1582,
286,
807,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
1129,
33411,
284,
62,
1845,
796,
366,
1906,
23,
1
] |
when did patient 017-16041 get admitted via floor to the hospital for the last time since 2105? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '017-16041' AND patient.hospitaladmitsource = 'floor' AND STRFTIME('%y', patient.hospitaladmittime) >= '2105' ORDER BY patient.hospitaladmittime DESC LIMIT 1 | [
12518,
750,
5827,
5534,
22,
12,
1433,
50049,
651,
6848,
2884,
4314,
284,
262,
4436,
329,
262,
938,
640,
1201,
362,
13348,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
29326,
12,
1433,
50049,
6,
5357,
5827,
13,
49257,
324,
24883,
1668,
796,
705,
28300,
6,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
5827,
13,
49257,
324,
20124,
524,
8,
18189,
705,
17,
13348,
6,
38678,
11050,
5827,
13,
49257,
324,
20124,
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
] | [
12518,
750,
5827,
5534,
22,
12,
1433,
50049,
651,
6848,
2884,
4314,
284,
262,
4436,
329,
262,
938,
640,
1201,
362,
13348,
30,
46506,
5827,
13,
49257,
324,
20124,
524,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
29326,
12,
1433,
50049,
6,
5357,
5827,
13,
49257,
324,
24883,
1668,
796,
705,
28300,
6,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
5827,
13,
49257,
324,
20124,
524,
8,
18189,
705,
17,
13348,
6,
38678,
11050,
5827,
13,
49257,
324,
20124,
524,
22196,
34,
27564,
2043,
352
] |
Are exams always set by Prof. Johanna Eriksson for her classes ? | SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course.has_exams = 'N' AND instructor.name LIKE '%Johanna Eriksson%' | [
8491,
26420,
1464,
900,
416,
4415,
13,
16053,
7697,
412,
39370,
1559,
329,
607,
6097,
5633,
46506,
327,
28270,
7,
28104,
796,
657,
16034,
1781,
3268,
21479,
32357,
1268,
1781,
62,
2364,
1586,
6177,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
3268,
21479,
32357,
1268,
6011,
62,
259,
7249,
273,
6177,
6011,
62,
259,
7249,
273,
13,
2364,
1586,
62,
312,
796,
1781,
62,
2364,
1586,
13,
2364,
1586,
62,
312,
3268,
21479,
32357,
1268,
21187,
6177,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8491,
26420,
1464,
900,
416,
4415,
13,
16053,
7697,
412,
39370,
1559,
329,
607,
6097,
5633,
46506,
327,
28270,
7,
28104,
796,
657,
16034,
1781,
3268,
21479,
32357,
1268,
1781,
62,
2364,
1586,
6177,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
3268,
21479,
32357,
1268,
6011,
62,
259,
7249,
273,
6177,
6011,
62,
259,
7249,
273,
13,
2364,
1586,
62,
312,
796,
1781,
62,
2364,
1586,
13,
2364,
1586,
62,
312,
3268,
21479,
32357,
1268,
21187,
6177,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249
] |
what is patient 28484's last diagnosis during the last hospital encounter? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28484 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) ORDER BY diagnoses_icd.charttime DESC LIMIT 1) | [
10919,
318,
5827,
2579,
34137,
338,
938,
13669,
1141,
262,
938,
4436,
8791,
30,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
62,
8189,
3268,
357,
46506,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
16034,
40567,
62,
291,
67,
33411,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
2579,
34137,
5357,
5626,
25349,
13
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
5827,
2579,
34137,
338,
938,
13669,
1141,
262,
938,
4436,
8791,
30,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
47356,
4629,
33411,
288,
62,
291,
67,
62,
47356,
4629,
13,
291,
67,
24,
62,
8189,
3268,
357,
46506,
40567,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
16034,
40567,
62,
291,
67,
33411,
40567,
62,
291,
67,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
2579,
34137,
5357,
5626,
25349,
13
] |
What percent of the population has phone in Russia? | SELECT AVG("# of phones as % of population") FROM table_7327 WHERE "Country or region" = 'russia' | [
2061,
1411,
286,
262,
3265,
468,
3072,
287,
3284,
30,
46506,
35224,
7203,
2,
286,
9512,
355,
4064,
286,
3265,
4943,
16034,
3084,
62,
4790,
1983,
33411,
366,
33921,
393,
3814,
1,
796,
705,
81,
31269,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1411,
286,
262,
3265,
468,
3072,
287,
3284,
30,
46506,
35224,
7203,
2,
286,
9512,
355,
4064,
286,
3265,
4943,
16034,
3084,
62,
4790,
1983,
33411,
366,
33921,
393,
3814,
1,
796,
705,
81,
31269,
6
] |
Show the minister who took office after 1961 or before 1959. | SELECT minister FROM party WHERE took_office > 1961 OR took_office < 1959 | [
15307,
262,
5342,
508,
1718,
2607,
706,
20510,
393,
878,
23859,
13,
46506,
5342,
16034,
2151,
33411,
1718,
62,
31810,
1875,
20510,
6375,
1718,
62,
31810,
1279,
23859
] | [
1,
1,
1,
1,
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,
5342,
508,
1718,
2607,
706,
20510,
393,
878,
23859,
13,
46506,
5342,
16034,
2151,
33411,
1718,
62,
31810,
1875,
20510,
6375,
1718,
62,
31810,
1279,
23859
] |
What is Coach, when Win % is .352? | SELECT "Coach" FROM table_44564 WHERE "Win %" = '.352' | [
2061,
318,
16393,
11,
618,
7178,
4064,
318,
764,
33394,
30,
46506,
366,
40677,
1,
16034,
3084,
62,
43489,
2414,
33411,
366,
16643,
4064,
1,
796,
45302,
33394,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
16393,
11,
618,
7178,
4064,
318,
764,
33394,
30,
46506,
366,
40677,
1,
16034,
3084,
62,
43489,
2414,
33411,
366,
16643,
4064,
1,
796,
45302,
33394,
6
] |
What is the country of player chi-chi rodr guez, who has an e to par? | SELECT "Country" FROM table_43692 WHERE "To par" = 'e' AND "Player" = 'chi-chi rodríguez' | [
2061,
318,
262,
1499,
286,
2137,
33166,
12,
11072,
686,
7109,
308,
14870,
11,
508,
468,
281,
304,
284,
1582,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
43690,
5892,
33411,
366,
2514,
1582,
1,
796,
705,
68,
6,
5357,
366,
14140,
1,
796,
705,
11072,
12,
11072,
686,
7109,
8836,
70,
14870,
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,
1499,
286,
2137,
33166,
12,
11072,
686,
7109,
308,
14870,
11,
508,
468,
281,
304,
284,
1582,
30,
46506,
366,
33921,
1,
16034,
3084,
62,
43690,
5892,
33411,
366,
2514,
1582,
1,
796,
705,
68,
6,
5357,
366,
14140,
1,
796,
705,
11072,
12,
11072,
686,
7109,
8836,
70,
14870,
6
] |
Visualize a bar chart for what are the ids and trade names of the medicine that can interact with at least 3 enzymes?, could you display Y-axis in ascending order? | SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id ORDER BY id | [
36259,
1096,
257,
2318,
8262,
329,
644,
389,
262,
220,
2340,
290,
3292,
3891,
286,
262,
9007,
326,
460,
9427,
351,
379,
1551,
513,
29120,
21747,
714,
345,
3359,
575,
12,
22704,
287,
41988,
1502,
30,
46506,
9601,
62,
5376,
11,
4686,
16034,
9007,
7054,
309,
16,
32357,
1268,
9007,
62,
268,
24266,
62,
3849,
2673,
7054,
309,
17,
6177,
309,
17,
13,
1150,
291,
500,
62,
312,
796,
309,
16,
13,
312,
38678,
11050,
4686
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
36259,
1096,
257,
2318,
8262,
329,
644,
389,
262,
220,
2340,
290,
3292,
3891,
286,
262,
9007,
326,
460,
9427,
351,
379,
1551,
513,
29120,
21747,
714,
345,
3359,
575,
12,
22704,
287,
41988,
1502,
30,
46506,
9601,
62,
5376,
11,
4686,
16034,
9007,
7054,
309,
16,
32357,
1268,
9007,
62,
268,
24266,
62,
3849,
2673,
7054,
309,
17,
6177,
309,
17,
13,
1150,
291,
500,
62,
312,
796,
309,
16,
13,
312,
38678,
11050,
4686
] |
Name the least new points for steffi graf | SELECT MIN(new_points) FROM table_1973321_5 WHERE player = "Steffi Graf" | [
5376,
262,
1551,
649,
2173,
329,
2876,
487,
72,
7933,
69,
46506,
20625,
7,
3605,
62,
13033,
8,
16034,
3084,
62,
24991,
2091,
2481,
62,
20,
33411,
2137,
796,
366,
7447,
487,
72,
7037,
69,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
1551,
649,
2173,
329,
2876,
487,
72,
7933,
69,
46506,
20625,
7,
3605,
62,
13033,
8,
16034,
3084,
62,
24991,
2091,
2481,
62,
20,
33411,
2137,
796,
366,
7447,
487,
72,
7037,
69,
1
] |
Total points with 114 played and average of 0.982? | SELECT SUM(points) FROM table_name_57 WHERE played = 114 AND average = 0.982 | [
14957,
2173,
351,
17342,
2826,
290,
2811,
286,
657,
13,
4089,
17,
30,
46506,
35683,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
3553,
33411,
2826,
796,
17342,
5357,
2811,
796,
657,
13,
4089,
17
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
14957,
2173,
351,
17342,
2826,
290,
2811,
286,
657,
13,
4089,
17,
30,
46506,
35683,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
3553,
33411,
2826,
796,
17342,
5357,
2811,
796,
657,
13,
4089,
17
] |
Give me the comparison about Weight over the Date_of_Birth , and list by the bar in ascending. | SELECT Date_of_Birth, Weight FROM people ORDER BY Date_of_Birth | [
23318,
502,
262,
7208,
546,
14331,
625,
262,
7536,
62,
1659,
62,
38480,
837,
290,
1351,
416,
262,
2318,
287,
41988,
13,
46506,
7536,
62,
1659,
62,
38480,
11,
14331,
16034,
661,
38678,
11050,
7536,
62,
1659,
62,
38480
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
23318,
502,
262,
7208,
546,
14331,
625,
262,
7536,
62,
1659,
62,
38480,
837,
290,
1351,
416,
262,
2318,
287,
41988,
13,
46506,
7536,
62,
1659,
62,
38480,
11,
14331,
16034,
661,
38678,
11050,
7536,
62,
1659,
62,
38480
] |
what is the total number of matches ? | SELECT SUM("matches") FROM table_204_235 | [
10919,
318,
262,
2472,
1271,
286,
7466,
5633,
46506,
35683,
7203,
6759,
2052,
4943,
16034,
3084,
62,
18638,
62,
22370
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
2472,
1271,
286,
7466,
5633,
46506,
35683,
7203,
6759,
2052,
4943,
16034,
3084,
62,
18638,
62,
22370
] |
give me the number of patients whose insurance is self pay and diagnoses icd9 code is 431? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Self Pay" AND diagnoses.icd9_code = "431" | [
26535,
502,
262,
1271,
286,
3871,
3025,
5096,
318,
2116,
1414,
290,
40567,
14158,
67,
24,
2438,
318,
604,
3132,
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,
1040,
3874,
796,
366,
24704,
7119,
1,
5357,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
50080,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
502,
262,
1271,
286,
3871,
3025,
5096,
318,
2116,
1414,
290,
40567,
14158,
67,
24,
2438,
318,
604,
3132,
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,
1040,
3874,
796,
366,
24704,
7119,
1,
5357,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
50080,
1
] |
Can you draw the trend of the number of actual delivery date over the actual delivery date?, display in ascending by the X. | SELECT Actual_Delivery_Date, COUNT(Actual_Delivery_Date) FROM Bookings ORDER BY Actual_Delivery_Date | [
6090,
345,
3197,
262,
5182,
286,
262,
1271,
286,
4036,
7585,
3128,
625,
262,
4036,
7585,
3128,
21747,
3359,
287,
41988,
416,
262,
1395,
13,
46506,
33520,
62,
33129,
62,
10430,
11,
327,
28270,
7,
6398,
723,
62,
33129,
62,
10430,
8,
16034,
4897,
654,
38678,
11050,
33520,
62,
33129,
62,
10430
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
6090,
345,
3197,
262,
5182,
286,
262,
1271,
286,
4036,
7585,
3128,
625,
262,
4036,
7585,
3128,
21747,
3359,
287,
41988,
416,
262,
1395,
13,
46506,
33520,
62,
33129,
62,
10430,
11,
327,
28270,
7,
6398,
723,
62,
33129,
62,
10430,
8,
16034,
4897,
654,
38678,
11050,
33520,
62,
33129,
62,
10430
] |
Which Surface has a Result of fernando verdasco? | SELECT surface FROM table_name_10 WHERE result = "fernando verdasco" | [
13828,
20321,
468,
257,
25414,
286,
277,
13023,
78,
3326,
67,
292,
1073,
30,
46506,
4417,
16034,
3084,
62,
3672,
62,
940,
33411,
1255,
796,
366,
69,
13023,
78,
3326,
67,
292,
1073,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20321,
468,
257,
25414,
286,
277,
13023,
78,
3326,
67,
292,
1073,
30,
46506,
4417,
16034,
3084,
62,
3672,
62,
940,
33411,
1255,
796,
366,
69,
13023,
78,
3326,
67,
292,
1073,
1
] |
Which winning driver of the Roussillon Grand Prix had an Alfa Romeo? | SELECT winning_driver FROM table_name_53 WHERE winning_constructor = "alfa romeo" AND name = "roussillon grand prix" | [
13828,
5442,
4639,
286,
262,
371,
516,
82,
23027,
5675,
23832,
550,
281,
978,
13331,
43989,
30,
46506,
5442,
62,
26230,
16034,
3084,
62,
3672,
62,
4310,
33411,
5442,
62,
41571,
273,
796,
366,
1604,
64,
374,
462,
78,
1,
5357,
1438,
796,
366,
472,
824,
23027,
4490,
1293,
87,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5442,
4639,
286,
262,
371,
516,
82,
23027,
5675,
23832,
550,
281,
978,
13331,
43989,
30,
46506,
5442,
62,
26230,
16034,
3084,
62,
3672,
62,
4310,
33411,
5442,
62,
41571,
273,
796,
366,
1604,
64,
374,
462,
78,
1,
5357,
1438,
796,
366,
472,
824,
23027,
4490,
1293,
87,
1
] |
What is the Name of the Player with a Rank of 23 or less, Heat of 4 and Result of 55.91? | SELECT name FROM table_name_84 WHERE heat = 4 AND rank < 23 AND result = "55.91" | [
2061,
318,
262,
6530,
286,
262,
7853,
351,
257,
10916,
286,
2242,
393,
1342,
11,
12308,
286,
604,
290,
25414,
286,
5996,
13,
6420,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
5705,
33411,
4894,
796,
604,
5357,
4279,
1279,
2242,
5357,
1255,
796,
366,
2816,
13,
6420,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
6530,
286,
262,
7853,
351,
257,
10916,
286,
2242,
393,
1342,
11,
12308,
286,
604,
290,
25414,
286,
5996,
13,
6420,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
5705,
33411,
4894,
796,
604,
5357,
4279,
1279,
2242,
5357,
1255,
796,
366,
2816,
13,
6420,
1
] |
All queries with tag 'pandas'. | SELECT * FROM Posts AS p JOIN PostTags AS pt ON pt.PostId = p.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE t.TagName = 'pandas' | [
3237,
20743,
351,
7621,
705,
79,
392,
292,
4458,
46506,
1635,
16034,
12043,
7054,
279,
32357,
1268,
2947,
36142,
7054,
42975,
6177,
42975,
13,
6307,
7390,
796,
279,
13,
7390,
32357,
1268,
44789,
7054,
256,
6177,
256,
13,
7390,
796,
42975,
13,
24835,
7390,
33411,
256,
13,
24835,
5376,
796,
705,
79,
392,
292,
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
] | [
3237,
20743,
351,
7621,
705,
79,
392,
292,
4458,
46506,
1635,
16034,
12043,
7054,
279,
32357,
1268,
2947,
36142,
7054,
42975,
6177,
42975,
13,
6307,
7390,
796,
279,
13,
7390,
32357,
1268,
44789,
7054,
256,
6177,
256,
13,
7390,
796,
42975,
13,
24835,
7390,
33411,
256,
13,
24835,
5376,
796,
705,
79,
392,
292,
6
] |
When did fitzroy play at home? | SELECT "Date" FROM table_10906 WHERE "Home team" = 'fitzroy' | [
2215,
750,
4197,
89,
3287,
711,
379,
1363,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
14454,
3312,
33411,
366,
16060,
1074,
1,
796,
705,
69,
4224,
3287,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2215,
750,
4197,
89,
3287,
711,
379,
1363,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
14454,
3312,
33411,
366,
16060,
1074,
1,
796,
705,
69,
4224,
3287,
6
] |
give me the number of patients whose drug code is levo750 and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "LEVO750" AND lab."CATEGORY" = "Chemistry" | [
26535,
502,
262,
1271,
286,
3871,
3025,
2563,
2438,
318,
443,
13038,
15426,
290,
2248,
1332,
6536,
318,
16585,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
34092,
13,
687,
377,
560,
62,
30349,
62,
10210,
796,
366,
2538,
29516,
15426,
1,
5357,
2248,
526,
34,
6158,
38,
15513,
1,
796,
366
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
26535,
502,
262,
1271,
286,
3871,
3025,
2563,
2438,
318,
443,
13038,
15426,
290,
2248,
1332,
6536,
318,
16585,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
34092,
6177,
16728,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
3268,
21479,
32357,
1268,
2248,
6177,
16728,
13,
18108,
76,
62,
312,
796,
2248,
13,
18108,
76,
62,
312,
33411,
34092,
13,
687,
377,
560,
62,
30349,
62,
10210,
796,
366,
2538,
29516,
15426,
1,
5357,
2248,
526,
34,
6158,
38,
15513,
1,
796,
366
] |
How many teams have 62 tries against? | SELECT COUNT(points_difference) FROM table_15467476_3 WHERE tries_against = "62" | [
2437,
867,
3466,
423,
8190,
8404,
1028,
30,
46506,
327,
28270,
7,
13033,
62,
26069,
1945,
8,
16034,
3084,
62,
21526,
3134,
35435,
62,
18,
33411,
8404,
62,
32826,
796,
366,
5237,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3466,
423,
8190,
8404,
1028,
30,
46506,
327,
28270,
7,
13033,
62,
26069,
1945,
8,
16034,
3084,
62,
21526,
3134,
35435,
62,
18,
33411,
8404,
62,
32826,
796,
366,
5237,
1
] |
Which name had a bodyweight bigger than 89.64, a total (kg) bigger than 310, a clean and jerk less than 207.5, and a snatch that is bigger than 165? | SELECT name FROM table_name_89 WHERE bodyweight > 89.64 AND total__kg_ > 310 AND clean_ & _jerk < 207.5 AND snatch > 165 | [
13828,
1438,
550,
257,
1767,
6551,
5749,
621,
9919,
13,
2414,
11,
257,
2472,
357,
10025,
8,
5749,
621,
28947,
11,
257,
3424,
290,
29757,
1342,
621,
27791,
13,
20,
11,
290,
257,
43388,
326,
318,
5749,
621,
21409,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
4531,
33411,
1767,
6551,
1875,
9919,
13,
2414,
5357,
2472,
834,
10025,
62,
1875,
28947,
5357,
3424,
62,
1222,
4808,
73,
9587,
1279,
27791,
13,
20,
5357,
43388,
1875,
21409
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1438,
550,
257,
1767,
6551,
5749,
621,
9919,
13,
2414,
11,
257,
2472,
357,
10025,
8,
5749,
621,
28947,
11,
257,
3424,
290,
29757,
1342,
621,
27791,
13,
20,
11,
290,
257,
43388,
326,
318,
5749,
621,
21409,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
4531,
33411,
1767,
6551,
1875,
9919,
13,
2414,
5357,
2472,
834,
10025,
62,
1875,
28947,
5357,
3424,
62,
1222,
4808,
73,
9587,
1279,
27791,
13,
20,
5357,
43388,
1875,
21409
] |
What are the titles of all the albums? | SELECT title FROM albums | [
2061,
389,
262,
8714,
286,
477,
262,
16788,
30,
46506,
3670,
16034,
16788
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
389,
262,
8714,
286,
477,
262,
16788,
30,
46506,
3670,
16034,
16788
] |
How many episodes received rating of 8.2? | SELECT COUNT("Episode") FROM table_27188 WHERE "Rating" = '8.2' | [
2437,
867,
8640,
2722,
7955,
286,
807,
13,
17,
30,
46506,
327,
28270,
7203,
23758,
4943,
16034,
3084,
62,
1983,
20356,
33411,
366,
29321,
1,
796,
705,
23,
13,
17,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
8640,
2722,
7955,
286,
807,
13,
17,
30,
46506,
327,
28270,
7203,
23758,
4943,
16034,
3084,
62,
1983,
20356,
33411,
366,
29321,
1,
796,
705,
23,
13,
17,
6
] |
What is the minimum capacity for Sangre Grande Ground? | SELECT MIN(capacity) FROM table_24039173_1 WHERE stadium = "Sangre Grande Ground" | [
2061,
318,
262,
5288,
5339,
329,
30043,
260,
29073,
13706,
30,
46506,
20625,
7,
42404,
8,
16034,
3084,
62,
16102,
2670,
25399,
62,
16,
33411,
10308,
796,
366,
50,
648,
260,
29073,
13706,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5288,
5339,
329,
30043,
260,
29073,
13706,
30,
46506,
20625,
7,
42404,
8,
16034,
3084,
62,
16102,
2670,
25399,
62,
16,
33411,
10308,
796,
366,
50,
648,
260,
29073,
13706,
1
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.