instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
What is the name of the game with a top prize of $888? | SELECT game_name FROM table_name_55 WHERE top_prize = "$888" | [
2061,
318,
262,
1438,
286,
262,
983,
351,
257,
1353,
11596,
286,
720,
28011,
30,
46506,
983,
62,
3672,
16034,
3084,
62,
3672,
62,
2816,
33411,
1353,
62,
3448,
2736,
796,
17971,
28011,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1438,
286,
262,
983,
351,
257,
1353,
11596,
286,
720,
28011,
30,
46506,
983,
62,
3672,
16034,
3084,
62,
3672,
62,
2816,
33411,
1353,
62,
3448,
2736,
796,
17971,
28011,
1
] |
What are the number of the dates when customers with ids between 10 and 20 became customers?, I want to rank y-axis in ascending order. | SELECT date_became_customer, COUNT(date_became_customer) FROM Customers WHERE customer_id BETWEEN 10 AND 20 ORDER BY COUNT(date_became_customer) | [
2061,
389,
262,
1271,
286,
262,
9667,
618,
4297,
351,
220,
2340,
1022,
838,
290,
1160,
2627,
4297,
21747,
314,
765,
284,
4279,
331,
12,
22704,
287,
41988,
1502,
13,
46506,
3128,
62,
9423,
480,
62,
23144,
263,
11,
327,
28270,
7,
4475... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
389,
262,
1271,
286,
262,
9667,
618,
4297,
351,
220,
2340,
1022,
838,
290,
1160,
2627,
4297,
21747,
314,
765,
284,
4279,
331,
12,
22704,
287,
41988,
1502,
13,
46506,
3128,
62,
9423,
480,
62,
23144,
263,
11,
327,
28270,
7,
4475... |
Percentage of users with 10,000 and 20,000 reputation or more. | SELECT (((SELECT CAST(COUNT(*) AS FLOAT) FROM Users WHERE Reputation > 10000) / (SELECT CAST(COUNT(*) AS FLOAT) FROM Users)) * 100) AS PercentageOver10k, (((SELECT CAST(COUNT(*) AS FLOAT) FROM Users WHERE Reputation > 30000) / (SELECT CAST(COUNT(*) AS FLOAT) FROM Users)) * 100) AS PercentageOver20k | [
31905,
496,
286,
2985,
351,
838,
11,
830,
290,
1160,
11,
830,
8507,
393,
517,
13,
46506,
14808,
7,
46506,
327,
11262,
7,
34,
28270,
7,
28104,
7054,
9977,
46,
1404,
8,
16034,
18987,
33411,
1432,
7094,
1875,
33028,
8,
1220,
357,
46506... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
31905,
496,
286,
2985,
351,
838,
11,
830,
290,
1160,
11,
830,
8507,
393,
517,
13,
46506,
14808,
7,
46506,
327,
11262,
7,
34,
28270,
7,
28104,
7054,
9977,
46,
1404,
8,
16034,
18987,
33411,
1432,
7094,
1875,
33028,
8,
1220,
357,
46506... |
count the number of patients whose primary disease is pneumonia and procedure short title is circumcision? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "PNEUMONIA" AND procedures.short_title = "Circumcision" | [
9127,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
35647,
290,
8771,
1790,
3670,
318,
25513,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
9127,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
35647,
290,
8771,
1790,
3670,
318,
25513,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
... |
what is the number of patients whose death status is 0 and procedure short title is injection oxazolidinone? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.short_title = "Injection oxazolidinone" | [
10919,
318,
262,
1271,
286,
3871,
3025,
1918,
3722,
318,
657,
290,
8771,
1790,
3670,
318,
16954,
12018,
1031,
10180,
259,
505,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
1271,
286,
3871,
3025,
1918,
3722,
318,
657,
290,
8771,
1790,
3670,
318,
16954,
12018,
1031,
10180,
259,
505,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32... |
What is the time when the rank is 14? | SELECT "Time" FROM table_46296 WHERE "Rank" = '14' | [
2061,
318,
262,
640,
618,
262,
4279,
318,
1478,
30,
46506,
366,
7575,
1,
16034,
3084,
62,
3510,
27137,
33411,
366,
27520,
1,
796,
705,
1415,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
640,
618,
262,
4279,
318,
1478,
30,
46506,
366,
7575,
1,
16034,
3084,
62,
3510,
27137,
33411,
366,
27520,
1,
796,
705,
1415,
6
] |
the previous year, had patient 48706 receive a procedure? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 48706) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | [
1169,
2180,
614,
11,
550,
5827,
4764,
35402,
3328,
257,
8771,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
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... | [
1169,
2180,
614,
11,
550,
5827,
4764,
35402,
3328,
257,
8771,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
9021,
62,
291,
67,
33411,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
... |
For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of job_id and salary . | SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
9588,
764,
46506,
449,
9864,
62,
2389,
11,
42475,
13153,
160... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
9588,
764,
46506,
449,
9864,
62,
2389,
11,
42475,
13153,
160... |
Who's the Communist ticket with an American Labor ticket of joseph v. o'leary? | SELECT communist_ticket FROM table_name_49 WHERE american_labor_ticket = "joseph v. o'leary" | [
8241,
338,
262,
14884,
7846,
351,
281,
1605,
7882,
7846,
286,
474,
577,
746,
410,
13,
267,
6,
293,
560,
30,
46506,
20555,
62,
43350,
16034,
3084,
62,
3672,
62,
2920,
33411,
45630,
272,
62,
75,
4820,
62,
43350,
796,
366,
73,
577,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8241,
338,
262,
14884,
7846,
351,
281,
1605,
7882,
7846,
286,
474,
577,
746,
410,
13,
267,
6,
293,
560,
30,
46506,
20555,
62,
43350,
16034,
3084,
62,
3672,
62,
2920,
33411,
45630,
272,
62,
75,
4820,
62,
43350,
796,
366,
73,
577,
7... |
how many of the male patients had icd9 code 3521? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.icd9_code = "3521" | [
4919,
867,
286,
262,
4257,
3871,
550,
14158,
67,
24,
2438,
3439,
2481,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
286,
262,
4257,
3871,
550,
14158,
67,
24,
2438,
3439,
2481,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
... |
What is the Home team on April 2? | SELECT "Home" FROM table_49522 WHERE "Date" = 'april 2' | [
2061,
318,
262,
5995,
1074,
319,
3035,
362,
30,
46506,
366,
16060,
1,
16034,
3084,
62,
33781,
1828,
33411,
366,
10430,
1,
796,
705,
499,
22379,
362,
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
] | [
2061,
318,
262,
5995,
1074,
319,
3035,
362,
30,
46506,
366,
16060,
1,
16034,
3084,
62,
33781,
1828,
33411,
366,
10430,
1,
796,
705,
499,
22379,
362,
6
] |
What is date when against is smaller than 6 and location was durban? | SELECT date FROM table_name_75 WHERE against < 6 AND venue = "durban" | [
2061,
318,
3128,
618,
1028,
318,
4833,
621,
718,
290,
4067,
373,
22365,
3820,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2425,
33411,
1028,
1279,
718,
5357,
14359,
796,
366,
67,
32679,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3128,
618,
1028,
318,
4833,
621,
718,
290,
4067,
373,
22365,
3820,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
2425,
33411,
1028,
1279,
718,
5357,
14359,
796,
366,
67,
32679,
1
] |
let me know the short title of both diagnoses and procedure for patient with patient id 18372. | SELECT diagnoses.short_title, procedures.short_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "18372" | [
1616,
502,
760,
262,
1790,
3670,
286,
1111,
40567,
290,
8771,
329,
5827,
351,
5827,
4686,
1248,
36720,
13,
46506,
40567,
13,
19509,
62,
7839,
11,
9021,
13,
19509,
62,
7839,
16034,
40567,
3268,
21479,
32357,
1268,
9021,
6177,
40567,
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
] | [
1616,
502,
760,
262,
1790,
3670,
286,
1111,
40567,
290,
8771,
329,
5827,
351,
5827,
4686,
1248,
36720,
13,
46506,
40567,
13,
19509,
62,
7839,
11,
9021,
13,
19509,
62,
7839,
16034,
40567,
3268,
21479,
32357,
1268,
9021,
6177,
40567,
13,
... |
For those records from the products and each product's manufacturer, give me the comparison about the average of price over the headquarter , and group by attribute headquarter by a bar chart, and display in ascending by the mean price. | SELECT Headquarter, AVG(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY AVG(Price) | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
2756,
625,
262,
1182,
24385,
837,
290,
1448,
416,
11688,
1182,
24385,
416,
257,
2318,
8262,
11,
290,
3359,
287,
41988,
416,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1577,
502,
262,
7208,
546,
262,
2811,
286,
2756,
625,
262,
1182,
24385,
837,
290,
1448,
416,
11688,
1182,
24385,
416,
257,
2318,
8262,
11,
290,
3359,
287,
41988,
416,
... |
What day was the ground subiaco? | SELECT date FROM table_name_8 WHERE ground = "subiaco" | [
2061,
1110,
373,
262,
2323,
850,
9607,
78,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
23,
33411,
2323,
796,
366,
7266,
9607,
78,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
1110,
373,
262,
2323,
850,
9607,
78,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
23,
33411,
2323,
796,
366,
7266,
9607,
78,
1
] |
Where is pine valley? | SELECT "Location" FROM table_54069 WHERE "Name" = 'pine valley' | [
8496,
318,
20161,
19272,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
35005,
3388,
33411,
366,
5376,
1,
796,
705,
23908,
19272,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8496,
318,
20161,
19272,
30,
46506,
366,
14749,
1,
16034,
3084,
62,
35005,
3388,
33411,
366,
5376,
1,
796,
705,
23908,
19272,
6
] |
Who had the fastest lap in the races won by Max Papis? | SELECT "Fastest lap" FROM table_16430 WHERE "Winning driver" = 'Max Papis' | [
8241,
550,
262,
14162,
14779,
287,
262,
9558,
1839,
416,
5436,
14185,
271,
30,
46506,
366,
22968,
395,
14779,
1,
16034,
3084,
62,
23237,
1270,
33411,
366,
16643,
768,
4639,
1,
796,
705,
11518,
14185,
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
] | [
8241,
550,
262,
14162,
14779,
287,
262,
9558,
1839,
416,
5436,
14185,
271,
30,
46506,
366,
22968,
395,
14779,
1,
16034,
3084,
62,
23237,
1270,
33411,
366,
16643,
768,
4639,
1,
796,
705,
11518,
14185,
271,
6
] |
get me number of protestant quaker religious background patients who had continuous invasive mechanical ventilation for 96 consecutive hours or more. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.religion = "PROTESTANT QUAKER" AND procedures.short_title = "Cont inv mec ven 96+ hrs" | [
1136,
502,
1271,
286,
5402,
415,
627,
3110,
4158,
4469,
3871,
508,
550,
12948,
27376,
12370,
34834,
329,
9907,
12785,
2250,
393,
517,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1136,
502,
1271,
286,
5402,
415,
627,
3110,
4158,
4469,
3871,
508,
550,
12948,
27376,
12370,
34834,
329,
9907,
12785,
2250,
393,
517,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21... |
Closed posts by votes on answers. This is used to see how many closed questions have up, down and neutral voted answers. A single post can be in all three categories if there is an answer which is positive, negative and neutral. | WITH ClosedPostsVotes AS (SELECT p.Id AS "Post Link", SUM(CASE WHEN a.Score > 0 THEN 1 ELSE 0 END) AS Up, SUM(CASE WHEN a.Score < 0 THEN 1 ELSE 0 END) AS Down, SUM(CASE WHEN a.Score = 0 THEN 1 ELSE 0 END) AS Neutral FROM Posts AS p INNER JOIN Posts AS a ON a.ParentId = p.Id WHERE NOT p.ClosedDate IS NULL GROUP BY p.Id)... | [
2601,
1335,
6851,
416,
5690,
319,
7429,
13,
770,
318,
973,
284,
766,
703,
867,
4838,
2683,
423,
510,
11,
866,
290,
8500,
7052,
7429,
13,
317,
2060,
1281,
460,
307,
287,
477,
1115,
9376,
611,
612,
318,
281,
3280,
543,
318,
3967,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2601,
1335,
6851,
416,
5690,
319,
7429,
13,
770,
318,
973,
284,
766,
703,
867,
4838,
2683,
423,
510,
11,
866,
290,
8500,
7052,
7429,
13,
317,
2060,
1281,
460,
307,
287,
477,
1115,
9376,
611,
612,
318,
281,
3280,
543,
318,
3967,
11... |
Which department has the highest average instructor salary? | SELECT dept_name FROM instructor GROUP BY dept_name ORDER BY AVG(salary) DESC LIMIT 1 | [
13828,
5011,
468,
262,
4511,
2811,
21187,
9588,
30,
46506,
390,
457,
62,
3672,
16034,
21187,
44441,
11050,
390,
457,
62,
3672,
38678,
11050,
35224,
7,
21680,
560,
8,
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
] | [
13828,
5011,
468,
262,
4511,
2811,
21187,
9588,
30,
46506,
390,
457,
62,
3672,
16034,
21187,
44441,
11050,
390,
457,
62,
3672,
38678,
11050,
35224,
7,
21680,
560,
8,
22196,
34,
27564,
2043,
352
] |
What is the country seat for the license plate code 5c? | SELECT "County seat" FROM table_75561 WHERE "License Plate Code" = '5c' | [
2061,
318,
262,
1499,
5852,
329,
262,
5964,
7480,
2438,
642,
66,
30,
46506,
366,
12332,
88,
5852,
1,
16034,
3084,
62,
2425,
47915,
33411,
366,
34156,
23648,
6127,
1,
796,
705,
20,
66,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1499,
5852,
329,
262,
5964,
7480,
2438,
642,
66,
30,
46506,
366,
12332,
88,
5852,
1,
16034,
3084,
62,
2425,
47915,
33411,
366,
34156,
23648,
6127,
1,
796,
705,
20,
66,
6
] |
What is the highest numbred district that has brian w. thomas as an incumbent? | SELECT MAX("District") FROM table_3568 WHERE "Incumbent" = 'Brian W. Thomas' | [
2061,
318,
262,
4511,
35519,
445,
4783,
326,
468,
275,
4484,
266,
13,
294,
16911,
355,
281,
23526,
30,
46506,
25882,
7203,
44857,
4943,
16034,
3084,
62,
2327,
3104,
33411,
366,
25517,
2178,
298,
1,
796,
705,
24761,
370,
13,
5658,
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,
262,
4511,
35519,
445,
4783,
326,
468,
275,
4484,
266,
13,
294,
16911,
355,
281,
23526,
30,
46506,
25882,
7203,
44857,
4943,
16034,
3084,
62,
2327,
3104,
33411,
366,
25517,
2178,
298,
1,
796,
705,
24761,
370,
13,
5658,
6
] |
What is the total number of wins for Cobden club when there are more than 2 draws? | SELECT SUM("Wins") FROM table_64310 WHERE "Club" = 'cobden' AND "Draws" > '2' | [
2061,
318,
262,
2472,
1271,
286,
7864,
329,
14828,
6559,
3430,
618,
612,
389,
517,
621,
362,
14293,
30,
46506,
35683,
7203,
54,
1040,
4943,
16034,
3084,
62,
2414,
26717,
33411,
366,
42350,
1,
796,
705,
66,
672,
6559,
6,
5357,
366,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2472,
1271,
286,
7864,
329,
14828,
6559,
3430,
618,
612,
389,
517,
621,
362,
14293,
30,
46506,
35683,
7203,
54,
1040,
4943,
16034,
3084,
62,
2414,
26717,
33411,
366,
42350,
1,
796,
705,
66,
672,
6559,
6,
5357,
366,
2... |
What venue has a Result of 3-0? | SELECT venue FROM table_name_73 WHERE result = "3-0" | [
2061,
14359,
468,
257,
25414,
286,
513,
12,
15,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
4790,
33411,
1255,
796,
366,
18,
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
] | [
2061,
14359,
468,
257,
25414,
286,
513,
12,
15,
30,
46506,
14359,
16034,
3084,
62,
3672,
62,
4790,
33411,
1255,
796,
366,
18,
12,
15,
1
] |
Deleted by community, undeleted by community - longest time as deleted. | WITH Raw AS (SELECT RANK() OVER (PARTITION BY PostId ORDER BY Id) AS N, PostId, PostHistoryTypeId, CreationDate, Text FROM PostHistory WHERE PostHistoryTypeId BETWEEN 12 AND 13) SELECT Del.PostId AS "post_link", 'site://posts/' + CAST(Del.PostId AS TEXT) + '/revisions|revisions' AS Revisions, 'site://posts/' + CAST(Del... | [
5005,
33342,
416,
2055,
11,
3318,
11129,
1513,
416,
2055,
532,
14069,
640,
355,
13140,
13,
54,
10554,
16089,
7054,
357,
46506,
371,
15154,
3419,
28729,
357,
30709,
17941,
11050,
2947,
7390,
38678,
11050,
5121,
8,
7054,
399,
11,
2947,
73... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
5005,
33342,
416,
2055,
11,
3318,
11129,
1513,
416,
2055,
532,
14069,
640,
355,
13140,
13,
54,
10554,
16089,
7054,
357,
46506,
371,
15154,
3419,
28729,
357,
30709,
17941,
11050,
2947,
7390,
38678,
11050,
5121,
8,
7054,
399,
11,
2947,
73... |
Count the number of patients less than 45 who had a joint fluid lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "45" AND lab.fluid = "Joint Fluid" | [
12332,
262,
1271,
286,
3871,
1342,
621,
4153,
508,
550,
257,
6466,
11711,
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,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12332,
262,
1271,
286,
3871,
1342,
621,
4153,
508,
550,
257,
6466,
11711,
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,
... |
Specify the number of patients who had a family history of other specified malignant neoplasm that were treated with base drug | 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 = "Family history of other specified malignant neoplasm" AND prescriptions.drug_type = "BASE" | [
22882,
1958,
262,
1271,
286,
3871,
508,
550,
257,
1641,
2106,
286,
584,
7368,
6428,
25114,
497,
20106,
8597,
326,
547,
5716,
351,
2779,
2563,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
22882,
1958,
262,
1271,
286,
3871,
508,
550,
257,
1641,
2106,
286,
584,
7368,
6428,
25114,
497,
20106,
8597,
326,
547,
5716,
351,
2779,
2563,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268... |
What was the weight division for the fight that ended in a TKO (strikes)? | SELECT "Weight Division" FROM table_36611 WHERE "Method" = 'tko (strikes)' | [
2061,
373,
262,
3463,
7297,
329,
262,
1907,
326,
4444,
287,
257,
309,
22328,
357,
301,
18445,
19427,
46506,
366,
25844,
7458,
1,
16034,
3084,
62,
32459,
1157,
33411,
366,
17410,
1,
796,
705,
83,
7204,
357,
301,
18445,
33047
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
3463,
7297,
329,
262,
1907,
326,
4444,
287,
257,
309,
22328,
357,
301,
18445,
19427,
46506,
366,
25844,
7458,
1,
16034,
3084,
62,
32459,
1157,
33411,
366,
17410,
1,
796,
705,
83,
7204,
357,
301,
18445,
33047
] |
What is the highest heat when the nationality is poland, and the lane is smaller than 6? | SELECT MAX(heat) FROM table_name_22 WHERE nationality = "poland" AND lane < 6 | [
2061,
318,
262,
4511,
4894,
618,
262,
29835,
318,
755,
392,
11,
290,
262,
11193,
318,
4833,
621,
718,
30,
46506,
25882,
7,
25080,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
29835,
796,
366,
16104,
392,
1,
5357,
11193,
1279,
718
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4511,
4894,
618,
262,
29835,
318,
755,
392,
11,
290,
262,
11193,
318,
4833,
621,
718,
30,
46506,
25882,
7,
25080,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
29835,
796,
366,
16104,
392,
1,
5357,
11193,
1279,
718
] |
How many scores did Helen Sildna give when Iiris Vesik gave a 3? | SELECT COUNT("Helen Sildna") FROM table_31024 WHERE "Iiris Vesik" = '3' | [
2437,
867,
8198,
750,
22695,
311,
688,
2616,
1577,
618,
314,
29616,
36448,
1134,
2921,
257,
513,
30,
46506,
327,
28270,
7203,
12621,
268,
311,
688,
2616,
4943,
16034,
3084,
62,
26717,
1731,
33411,
366,
40,
29616,
36448,
1134,
1,
796,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8198,
750,
22695,
311,
688,
2616,
1577,
618,
314,
29616,
36448,
1134,
2921,
257,
513,
30,
46506,
327,
28270,
7203,
12621,
268,
311,
688,
2616,
4943,
16034,
3084,
62,
26717,
1731,
33411,
366,
40,
29616,
36448,
1134,
1,
796,
... |
What is the number of silver when rank was 5, and a bronze was smaller than 14? | SELECT SUM("Silver") FROM table_62238 WHERE "Rank" = '5' AND "Bronze" < '14' | [
2061,
318,
262,
1271,
286,
8465,
618,
4279,
373,
642,
11,
290,
257,
22101,
373,
4833,
621,
1478,
30,
46506,
35683,
7203,
26766,
4943,
16034,
3084,
62,
21,
1828,
2548,
33411,
366,
27520,
1,
796,
705,
20,
6,
5357,
366,
18760,
2736,
1,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
1271,
286,
8465,
618,
4279,
373,
642,
11,
290,
257,
22101,
373,
4833,
621,
1478,
30,
46506,
35683,
7203,
26766,
4943,
16034,
3084,
62,
21,
1828,
2548,
33411,
366,
27520,
1,
796,
705,
20,
6,
5357,
366,
18760,
2736,
1,... |
What is the first Week against Cincinnati Bengals with an Attendance greater than 58,615? | SELECT MIN("Week") FROM table_42049 WHERE "Attendance" > '58,615' AND "Opponent" = 'cincinnati bengals' | [
2061,
318,
262,
717,
6119,
1028,
16137,
24037,
351,
281,
46502,
590,
3744,
621,
7618,
11,
47007,
30,
46506,
20625,
7203,
20916,
4943,
16034,
3084,
62,
27211,
2920,
33411,
366,
8086,
437,
590,
1,
1875,
705,
3365,
11,
47007,
6,
5357,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
717,
6119,
1028,
16137,
24037,
351,
281,
46502,
590,
3744,
621,
7618,
11,
47007,
30,
46506,
20625,
7203,
20916,
4943,
16034,
3084,
62,
27211,
2920,
33411,
366,
8086,
437,
590,
1,
1875,
705,
3365,
11,
47007,
6,
5357,
36... |
What is the average rating of viewers 18 to 49 where the total viewer count is 3.93 million and share less than 4? | SELECT AVG("18\u201349") FROM table_51322 WHERE "Viewers (m)" = '3.93' AND "Share" < '4' | [
2061,
318,
262,
2811,
7955,
286,
10209,
1248,
284,
5125,
810,
262,
2472,
19091,
954,
318,
513,
13,
6052,
1510,
290,
2648,
1342,
621,
604,
30,
46506,
35224,
7203,
1507,
59,
84,
1264,
27371,
4943,
16034,
3084,
62,
48645,
1828,
33411,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
7955,
286,
10209,
1248,
284,
5125,
810,
262,
2472,
19091,
954,
318,
513,
13,
6052,
1510,
290,
2648,
1342,
621,
604,
30,
46506,
35224,
7203,
1507,
59,
84,
1264,
27371,
4943,
16034,
3084,
62,
48645,
1828,
33411,
36... |
If I want to have an easy workload , what 400 / 500 -level MILSCI courses should I take ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course INNER JOIN program_course WHERE ((course.number < 400 + 100 AND course.number >= 400) OR (course.number < 500 + 100 AND course.number >= 500)) AND course.department = 'MILSCI' AND program_course.workload = (SELECT MIN(PRO... | [
1532,
314,
765,
284,
423,
281,
2562,
26211,
837,
644,
7337,
1220,
5323,
532,
5715,
31515,
6173,
40,
10902,
815,
314,
1011,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
1430,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1532,
314,
765,
284,
423,
281,
2562,
26211,
837,
644,
7337,
1220,
5323,
532,
5715,
31515,
6173,
40,
10902,
815,
314,
1011,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
1430,
... |
What was the episode number that had 797000 viewers? | SELECT no FROM table_25737761_3 WHERE viewing_figure = 797000 | [
2061,
373,
262,
4471,
1271,
326,
550,
767,
5607,
830,
10209,
30,
46506,
645,
16034,
3084,
62,
28676,
2718,
4304,
16,
62,
18,
33411,
11681,
62,
26875,
796,
767,
5607,
830
] | [
1,
1,
1,
1,
1,
1,
1,
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,
4471,
1271,
326,
550,
767,
5607,
830,
10209,
30,
46506,
645,
16034,
3084,
62,
28676,
2718,
4304,
16,
62,
18,
33411,
11681,
62,
26875,
796,
767,
5607,
830
] |
What College/Junior/Club Team (League) has a round of 3? | SELECT college_junior_club_team__league_ FROM table_name_32 WHERE round = 3 | [
2061,
5535,
14,
22396,
1504,
14,
42350,
4816,
357,
24623,
8,
468,
257,
2835,
286,
513,
30,
46506,
4152,
62,
29741,
1504,
62,
18664,
62,
15097,
834,
19316,
62,
16034,
3084,
62,
3672,
62,
2624,
33411,
2835,
796,
513
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
5535,
14,
22396,
1504,
14,
42350,
4816,
357,
24623,
8,
468,
257,
2835,
286,
513,
30,
46506,
4152,
62,
29741,
1504,
62,
18664,
62,
15097,
834,
19316,
62,
16034,
3084,
62,
3672,
62,
2624,
33411,
2835,
796,
513
] |
What was the score of the game at the Chicago Stadium? | SELECT score FROM table_name_38 WHERE location_attendance = "chicago stadium" | [
2061,
373,
262,
4776,
286,
262,
983,
379,
262,
4842,
10499,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2548,
33411,
4067,
62,
1078,
437,
590,
796,
366,
354,
4549,
10308,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
373,
262,
4776,
286,
262,
983,
379,
262,
4842,
10499,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
2548,
33411,
4067,
62,
1078,
437,
590,
796,
366,
354,
4549,
10308,
1
] |
Which money has player Jack Fleck with t1 place? | SELECT "Money ( $ )" FROM table_76230 WHERE "Place" = 't1' AND "Player" = 'jack fleck' | [
13828,
1637,
468,
2137,
3619,
12005,
694,
351,
256,
16,
1295,
30,
46506,
366,
26788,
357,
720,
1267,
1,
16034,
3084,
62,
4304,
19214,
33411,
366,
27271,
1,
796,
705,
83,
16,
6,
5357,
366,
14140,
1,
796,
705,
19650,
5104,
694,
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
] | [
13828,
1637,
468,
2137,
3619,
12005,
694,
351,
256,
16,
1295,
30,
46506,
366,
26788,
357,
720,
1267,
1,
16034,
3084,
62,
4304,
19214,
33411,
366,
27271,
1,
796,
705,
83,
16,
6,
5357,
366,
14140,
1,
796,
705,
19650,
5104,
694,
6
] |
Bar chart of maximal product price from each product type code, and I want to list in ascending by the bars please. | SELECT product_type_code, MAX(product_price) FROM Products GROUP BY product_type_code ORDER BY product_type_code | [
10374,
8262,
286,
40708,
1720,
2756,
422,
1123,
1720,
2099,
2438,
11,
290,
314,
765,
284,
1351,
287,
41988,
416,
262,
9210,
3387,
13,
46506,
1720,
62,
4906,
62,
8189,
11,
25882,
7,
11167,
62,
20888,
8,
16034,
18675,
44441,
11050,
1720... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10374,
8262,
286,
40708,
1720,
2756,
422,
1123,
1720,
2099,
2438,
11,
290,
314,
765,
284,
1351,
287,
41988,
416,
262,
9210,
3387,
13,
46506,
1720,
62,
4906,
62,
8189,
11,
25882,
7,
11167,
62,
20888,
8,
16034,
18675,
44441,
11050,
1720... |
What is the range (varies by payload weight) for Shahab-4? | SELECT range__varies_with_payload_weight_ FROM table_name_71 WHERE name_designation = "shahab-4" | [
2061,
318,
262,
2837,
357,
85,
3166,
416,
21437,
3463,
8,
329,
18381,
397,
12,
19,
30,
46506,
2837,
834,
85,
3166,
62,
4480,
62,
15577,
2220,
62,
6551,
62,
16034,
3084,
62,
3672,
62,
4869,
33411,
1438,
62,
26124,
341,
796,
366,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2837,
357,
85,
3166,
416,
21437,
3463,
8,
329,
18381,
397,
12,
19,
30,
46506,
2837,
834,
85,
3166,
62,
4480,
62,
15577,
2220,
62,
6551,
62,
16034,
3084,
62,
3672,
62,
4869,
33411,
1438,
62,
26124,
341,
796,
366,
14... |
Which winner has a P stage? | SELECT "Winner" FROM table_5628 WHERE "Stage" = 'p' | [
13828,
8464,
468,
257,
350,
3800,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
3980,
2078,
33411,
366,
29391,
1,
796,
705,
79,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
8464,
468,
257,
350,
3800,
30,
46506,
366,
48056,
1,
16034,
3084,
62,
3980,
2078,
33411,
366,
29391,
1,
796,
705,
79,
6
] |
Which baseball team is class AAA? | SELECT team FROM table_name_75 WHERE sport = "baseball" AND class = "aaa" | [
13828,
9283,
1074,
318,
1398,
25734,
30,
46506,
1074,
16034,
3084,
62,
3672,
62,
2425,
33411,
6332,
796,
366,
8692,
1894,
1,
5357,
1398,
796,
366,
46071,
1
] | [
1,
1,
1,
1,
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,
9283,
1074,
318,
1398,
25734,
30,
46506,
1074,
16034,
3084,
62,
3672,
62,
2425,
33411,
6332,
796,
366,
8692,
1894,
1,
5357,
1398,
796,
366,
46071,
1
] |
who is the constructor when the laps is more than 72 and the driver is eddie irvine? | SELECT "Constructor" FROM table_77678 WHERE "Laps" > '72' AND "Driver" = 'eddie irvine' | [
8727,
318,
262,
23772,
618,
262,
24590,
318,
517,
621,
7724,
290,
262,
4639,
318,
1225,
11979,
4173,
26818,
30,
46506,
366,
42316,
273,
1,
16034,
3084,
62,
3324,
30924,
33411,
366,
43,
1686,
1,
1875,
705,
4761,
6,
5357,
366,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8727,
318,
262,
23772,
618,
262,
24590,
318,
517,
621,
7724,
290,
262,
4639,
318,
1225,
11979,
4173,
26818,
30,
46506,
366,
42316,
273,
1,
16034,
3084,
62,
3324,
30924,
33411,
366,
43,
1686,
1,
1875,
705,
4761,
6,
5357,
366,
32103,
... |
In what position did Salina Kosgei finish in the Tokyo Marathon? | SELECT position FROM table_name_23 WHERE competition = "tokyo marathon" | [
818,
644,
2292,
750,
4849,
1437,
18884,
469,
72,
5461,
287,
262,
11790,
24828,
30,
46506,
2292,
16034,
3084,
62,
3672,
62,
1954,
33411,
5449,
796,
366,
83,
482,
8226,
22336,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
818,
644,
2292,
750,
4849,
1437,
18884,
469,
72,
5461,
287,
262,
11790,
24828,
30,
46506,
2292,
16034,
3084,
62,
3672,
62,
1954,
33411,
5449,
796,
366,
83,
482,
8226,
22336,
1
] |
What is the withdrawal date associated with a date made of 1904? | SELECT "Date withdrawn" FROM table_67782 WHERE "Date made" = '1904' | [
2061,
318,
262,
15220,
3128,
3917,
351,
257,
3128,
925,
286,
43785,
30,
46506,
366,
10430,
23019,
1,
16034,
3084,
62,
3134,
46519,
33411,
366,
10430,
925,
1,
796,
705,
1129,
3023,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
15220,
3128,
3917,
351,
257,
3128,
925,
286,
43785,
30,
46506,
366,
10430,
23019,
1,
16034,
3084,
62,
3134,
46519,
33411,
366,
10430,
925,
1,
796,
705,
1129,
3023,
6
] |
Which To par has a Score of 78-74-71-75=298? | SELECT AVG("To par") FROM table_61700 WHERE "Score" = '78-74-71-75=298' | [
13828,
1675,
1582,
468,
257,
15178,
286,
8699,
12,
4524,
12,
4869,
12,
2425,
28,
27728,
30,
46506,
35224,
7203,
2514,
1582,
4943,
16034,
3084,
62,
47941,
405,
33411,
366,
26595,
1,
796,
705,
3695,
12,
4524,
12,
4869,
12,
2425,
28,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1675,
1582,
468,
257,
15178,
286,
8699,
12,
4524,
12,
4869,
12,
2425,
28,
27728,
30,
46506,
35224,
7203,
2514,
1582,
4943,
16034,
3084,
62,
47941,
405,
33411,
366,
26595,
1,
796,
705,
3695,
12,
4524,
12,
4869,
12,
2425,
28,
2... |
Who did Abdelhafid Benchebla face in the quarterfinals? | SELECT "Quarterfinals" FROM table_21689 WHERE "Athlete" = 'Abdelhafid Benchebla' | [
8241,
750,
38758,
71,
1878,
312,
3932,
2395,
2436,
64,
1986,
287,
262,
3860,
32089,
30,
46506,
366,
4507,
2571,
32089,
1,
16034,
3084,
62,
20666,
4531,
33411,
366,
32,
400,
5807,
1,
796,
705,
4826,
12381,
71,
1878,
312,
3932,
2395,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
750,
38758,
71,
1878,
312,
3932,
2395,
2436,
64,
1986,
287,
262,
3860,
32089,
30,
46506,
366,
4507,
2571,
32089,
1,
16034,
3084,
62,
20666,
4531,
33411,
366,
32,
400,
5807,
1,
796,
705,
4826,
12381,
71,
1878,
312,
3932,
2395,
... |
What upper-level NAVARCH classes could be taken this Spring ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'NAVARCH' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spr... | [
2061,
6727,
12,
5715,
47140,
31315,
6097,
714,
307,
2077,
428,
8225,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
1430,
62,
17319,
11,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
6727,
12,
5715,
47140,
31315,
6097,
714,
307,
2077,
428,
8225,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
1430,
62,
17319,
11,
... |
What date had a margin victory of 2 strokes? | SELECT "Date" FROM table_43393 WHERE "Margin of victory" = '2 strokes' | [
2061,
3128,
550,
257,
10330,
5373,
286,
362,
29483,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
42117,
6052,
33411,
366,
24428,
259,
286,
5373,
1,
796,
705,
17,
29483,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
3128,
550,
257,
10330,
5373,
286,
362,
29483,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
42117,
6052,
33411,
366,
24428,
259,
286,
5373,
1,
796,
705,
17,
29483,
6
] |
What is the numbers of the thn unit with a power greater than 220? | SELECT "Numbers" FROM table_37526 WHERE "Power (horsepower)" > '220' AND "Type" = 'thn' | [
2061,
318,
262,
3146,
286,
262,
294,
77,
4326,
351,
257,
1176,
3744,
621,
15629,
30,
46506,
366,
49601,
1,
16034,
3084,
62,
22318,
2075,
33411,
366,
13434,
357,
30527,
6477,
16725,
1875,
705,
17572,
6,
5357,
366,
6030,
1,
796,
705,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
3146,
286,
262,
294,
77,
4326,
351,
257,
1176,
3744,
621,
15629,
30,
46506,
366,
49601,
1,
16034,
3084,
62,
22318,
2075,
33411,
366,
13434,
357,
30527,
6477,
16725,
1875,
705,
17572,
6,
5357,
366,
6030,
1,
796,
705,
... |
Which Streak has a Record of 21 22? | SELECT "Streak" FROM table_12895 WHERE "Record" = '21–22' | [
13828,
9737,
461,
468,
257,
13266,
286,
2310,
2534,
30,
46506,
366,
30611,
461,
1,
16034,
3084,
62,
12762,
3865,
33411,
366,
23739,
1,
796,
705,
2481,
1906,
1828,
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
] | [
13828,
9737,
461,
468,
257,
13266,
286,
2310,
2534,
30,
46506,
366,
30611,
461,
1,
16034,
3084,
62,
12762,
3865,
33411,
366,
23739,
1,
796,
705,
2481,
1906,
1828,
6
] |
Tell me the record for the date of August 18. | SELECT record FROM table_name_55 WHERE date = "august 18" | [
24446,
502,
262,
1700,
329,
262,
3128,
286,
2932,
1248,
13,
46506,
1700,
16034,
3084,
62,
3672,
62,
2816,
33411,
3128,
796,
366,
7493,
436,
1248,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
24446,
502,
262,
1700,
329,
262,
3128,
286,
2932,
1248,
13,
46506,
1700,
16034,
3084,
62,
3672,
62,
2816,
33411,
3128,
796,
366,
7493,
436,
1248,
1
] |
Show all countries and the number of people from each country with a bar chart, order y axis from low to high order. | SELECT Country, COUNT(*) FROM people GROUP BY Country ORDER BY COUNT(*) | [
15307,
477,
2678,
290,
262,
1271,
286,
661,
422,
1123,
1499,
351,
257,
2318,
8262,
11,
1502,
331,
16488,
422,
1877,
284,
1029,
1502,
13,
46506,
12946,
11,
327,
28270,
7,
28104,
16034,
661,
44441,
11050,
12946,
38678,
11050,
327,
28270,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2678,
290,
262,
1271,
286,
661,
422,
1123,
1499,
351,
257,
2318,
8262,
11,
1502,
331,
16488,
422,
1877,
284,
1029,
1502,
13,
46506,
12946,
11,
327,
28270,
7,
28104,
16034,
661,
44441,
11050,
12946,
38678,
11050,
327,
28270,
... |
what was the top team ? | SELECT "team" FROM table_203_452 ORDER BY "pos" LIMIT 1 | [
10919,
373,
262,
1353,
1074,
5633,
46506,
366,
15097,
1,
16034,
3084,
62,
22416,
62,
37730,
38678,
11050,
366,
1930,
1,
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
] | [
10919,
373,
262,
1353,
1074,
5633,
46506,
366,
15097,
1,
16034,
3084,
62,
22416,
62,
37730,
38678,
11050,
366,
1930,
1,
27564,
2043,
352
] |
what is the number of patients with subdural hematoma primary disease who have been discharged to psychiatric facility-partial hospitalization? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.diagnosis = "SDH" | [
10919,
318,
262,
1271,
286,
3871,
351,
850,
67,
1523,
339,
6759,
6086,
4165,
4369,
508,
423,
587,
26476,
284,
19906,
6841,
12,
47172,
4436,
1634,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
1271,
286,
3871,
351,
850,
67,
1523,
339,
6759,
6086,
4165,
4369,
508,
423,
587,
26476,
284,
19906,
6841,
12,
47172,
4436,
1634,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
1... |
Name the aircraft type for jagdgeschwader 6 | SELECT aircraft_type FROM table_28342423_1 WHERE parent_unit = "Jagdgeschwader 6" | [
5376,
262,
6215,
2099,
329,
474,
363,
67,
3212,
354,
86,
5067,
718,
46506,
6215,
62,
4906,
16034,
3084,
62,
2078,
2682,
1731,
1954,
62,
16,
33411,
2560,
62,
20850,
796,
366,
41,
363,
67,
3212,
354,
86,
5067,
718,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6215,
2099,
329,
474,
363,
67,
3212,
354,
86,
5067,
718,
46506,
6215,
62,
4906,
16034,
3084,
62,
2078,
2682,
1731,
1954,
62,
16,
33411,
2560,
62,
20850,
796,
366,
41,
363,
67,
3212,
354,
86,
5067,
718,
1
] |
how many patients admitted before the year 2156 have diagnosis icd9 code 76518? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2156" AND diagnoses.icd9_code = "76518" | [
4919,
867,
3871,
6848,
878,
262,
614,
362,
21599,
423,
13669,
14158,
67,
24,
2438,
767,
2996,
1507,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
167... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
4919,
867,
3871,
6848,
878,
262,
614,
362,
21599,
423,
13669,
14158,
67,
24,
2438,
767,
2996,
1507,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
167... |
Which Nationality has a Player of larry wright? | SELECT nationality FROM table_name_86 WHERE player = "larry wright" | [
13828,
2351,
414,
468,
257,
7853,
286,
300,
6532,
1319,
432,
30,
46506,
29835,
16034,
3084,
62,
3672,
62,
4521,
33411,
2137,
796,
366,
75,
6532,
1319,
432,
1
] | [
1,
1,
1,
1,
1,
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,
2351,
414,
468,
257,
7853,
286,
300,
6532,
1319,
432,
30,
46506,
29835,
16034,
3084,
62,
3672,
62,
4521,
33411,
2137,
796,
366,
75,
6532,
1319,
432,
1
] |
When was Color of green first issued? | SELECT MIN("First issued") FROM table_39610 WHERE "Color" = 'green' | [
2215,
373,
5315,
286,
4077,
717,
4884,
30,
46506,
20625,
7203,
5962,
4884,
4943,
16034,
3084,
62,
34107,
940,
33411,
366,
10258,
1,
796,
705,
14809,
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
] | [
2215,
373,
5315,
286,
4077,
717,
4884,
30,
46506,
20625,
7203,
5962,
4884,
4943,
16034,
3084,
62,
34107,
940,
33411,
366,
10258,
1,
796,
705,
14809,
6
] |
The BIGGEST Post Body on Stack Overflow. | SELECT Id AS "post_link", LENGTH(Body) AS Size, CreationDate, LastEditDate FROM Posts ORDER BY LENGTH(Body) DESC LIMIT 1 | [
464,
26746,
38,
6465,
2947,
12290,
319,
23881,
3827,
11125,
13,
46506,
5121,
7054,
366,
7353,
62,
8726,
1600,
406,
49494,
7,
25842,
8,
7054,
12849,
11,
21582,
10430,
11,
4586,
18378,
10430,
16034,
12043,
38678,
11050,
406,
49494,
7,
258... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
464,
26746,
38,
6465,
2947,
12290,
319,
23881,
3827,
11125,
13,
46506,
5121,
7054,
366,
7353,
62,
8726,
1600,
406,
49494,
7,
25842,
8,
7054,
12849,
11,
21582,
10430,
11,
4586,
18378,
10430,
16034,
12043,
38678,
11050,
406,
49494,
7,
258... |
I want to see trend of the total number by yearid, and order by the X-axis from low to high. | SELECT yearid, COUNT(*) FROM hall_of_fame GROUP BY yearid ORDER BY yearid | [
40,
765,
284,
766,
5182,
286,
262,
2472,
1271,
416,
614,
312,
11,
290,
1502,
416,
262,
1395,
12,
22704,
422,
1877,
284,
1029,
13,
46506,
614,
312,
11,
327,
28270,
7,
28104,
16034,
6899,
62,
1659,
62,
69,
480,
44441,
11050,
614,
31... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
40,
765,
284,
766,
5182,
286,
262,
2472,
1271,
416,
614,
312,
11,
290,
1502,
416,
262,
1395,
12,
22704,
422,
1877,
284,
1029,
13,
46506,
614,
312,
11,
327,
28270,
7,
28104,
16034,
6899,
62,
1659,
62,
69,
480,
44441,
11050,
614,
31... |
what is the date of birth for patient 81546? | SELECT patients.dob FROM patients WHERE patients.subject_id = 81546 | [
10919,
318,
262,
3128,
286,
4082,
329,
5827,
807,
1314,
3510,
30,
46506,
3871,
13,
67,
672,
16034,
3871,
33411,
3871,
13,
32796,
62,
312,
796,
807,
1314,
3510
] | [
1,
1,
1,
1,
1,
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,
3128,
286,
4082,
329,
5827,
807,
1314,
3510,
30,
46506,
3871,
13,
67,
672,
16034,
3871,
33411,
3871,
13,
32796,
62,
312,
796,
807,
1314,
3510
] |
since 4 years ago, what are the top three most frequent specimen tests ordered for patients within 2 months after the diagnosis of exam-clincal trial? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_... | [
20777,
604,
812,
2084,
11,
644,
389,
262,
1353,
1115,
749,
10792,
31674,
5254,
6149,
329,
3871,
1626,
362,
1933,
706,
262,
13669,
286,
2814,
12,
565,
1939,
282,
4473,
30,
46506,
256,
18,
13,
16684,
62,
4906,
62,
20147,
16034,
357,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
20777,
604,
812,
2084,
11,
644,
389,
262,
1353,
1115,
749,
10792,
31674,
5254,
6149,
329,
3871,
1626,
362,
1933,
706,
262,
13669,
286,
2814,
12,
565,
1939,
282,
4473,
30,
46506,
256,
18,
13,
16684,
62,
4906,
62,
20147,
16034,
357,
4... |
What's the score of the game with 31-29 record? | SELECT "Score" FROM table_2679 WHERE "Record" = '31-29' | [
2061,
338,
262,
4776,
286,
262,
983,
351,
3261,
12,
1959,
1700,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
2075,
3720,
33411,
366,
23739,
1,
796,
705,
3132,
12,
1959,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
338,
262,
4776,
286,
262,
983,
351,
3261,
12,
1959,
1700,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
2075,
3720,
33411,
366,
23739,
1,
796,
705,
3132,
12,
1959,
6
] |
What team was visiting on February 15? | SELECT "Visitor" FROM table_58375 WHERE "Date" = 'february 15' | [
2061,
1074,
373,
10013,
319,
3945,
1315,
30,
46506,
366,
15854,
2072,
1,
16034,
3084,
62,
3365,
22318,
33411,
366,
10430,
1,
796,
705,
69,
1765,
3728,
1315,
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,
1074,
373,
10013,
319,
3945,
1315,
30,
46506,
366,
15854,
2072,
1,
16034,
3084,
62,
3365,
22318,
33411,
366,
10430,
1,
796,
705,
69,
1765,
3728,
1315,
6
] |
Find all the stage positions of the musicians with first name 'Solveig | SELECT DISTINCT T1.stageposition FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Solveig" | [
16742,
477,
262,
3800,
6116,
286,
262,
17245,
351,
717,
1438,
705,
50,
6442,
328,
46506,
360,
8808,
1268,
4177,
309,
16,
13,
14247,
9150,
16034,
2854,
7054,
309,
16,
32357,
1268,
4097,
7054,
309,
17,
6177,
309,
16,
13,
3903,
9830,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
477,
262,
3800,
6116,
286,
262,
17245,
351,
717,
1438,
705,
50,
6442,
328,
46506,
360,
8808,
1268,
4177,
309,
16,
13,
14247,
9150,
16034,
2854,
7054,
309,
16,
32357,
1268,
4097,
7054,
309,
17,
6177,
309,
16,
13,
3903,
9830,
7... |
what is the maximum value of the heartrate of patient 010-33597 on the last intensive care unit visit? | SELECT MAX(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-33597') AND NOT patient.unitdischargetime IS NUL... | [
10919,
318,
262,
5415,
1988,
286,
262,
2612,
4873,
286,
5827,
5534,
15,
12,
2091,
43239,
319,
262,
938,
18590,
1337,
4326,
3187,
30,
46506,
25882,
7,
85,
1287,
41007,
291,
13,
11499,
4873,
8,
16034,
9204,
41007,
291,
33411,
9204,
4100... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5415,
1988,
286,
262,
2612,
4873,
286,
5827,
5534,
15,
12,
2091,
43239,
319,
262,
938,
18590,
1337,
4326,
3187,
30,
46506,
25882,
7,
85,
1287,
41007,
291,
13,
11499,
4873,
8,
16034,
9204,
41007,
291,
33411,
9204,
4100... |
what was patient 9619's first value of the arterial bp mean until 08/02/2102? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 9619)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial b... | [
10919,
373,
5827,
9907,
1129,
338,
717,
1988,
286,
262,
30675,
498,
275,
79,
1612,
1566,
8487,
14,
2999,
14,
17,
15377,
30,
46506,
8262,
31534,
13,
2100,
84,
44709,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
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... | [
10919,
373,
5827,
9907,
1129,
338,
717,
1988,
286,
262,
30675,
498,
275,
79,
1612,
1566,
8487,
14,
2999,
14,
17,
15377,
30,
46506,
8262,
31534,
13,
2100,
84,
44709,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
... |
What is the average rating stars and title for the oldest movie? | SELECT AVG(T1.stars), T2.title FROM rating AS T1 JOIN movie AS T2 ON T1.mid = T2.mid WHERE T2.year = (SELECT MIN(year) FROM movie) | [
2061,
318,
262,
2811,
7955,
5788,
290,
3670,
329,
262,
13325,
3807,
30,
46506,
35224,
7,
51,
16,
13,
30783,
828,
309,
17,
13,
7839,
16034,
7955,
7054,
309,
16,
32357,
1268,
3807,
7054,
309,
17,
6177,
309,
16,
13,
13602,
796,
309,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7955,
5788,
290,
3670,
329,
262,
13325,
3807,
30,
46506,
35224,
7,
51,
16,
13,
30783,
828,
309,
17,
13,
7839,
16034,
7955,
7054,
309,
16,
32357,
1268,
3807,
7054,
309,
17,
6177,
309,
16,
13,
13602,
796,
309,
... |
Which Years at club have a Debut year of 1930, and Games larger than 7, and a Player of colin benham? | SELECT "Years at club" FROM table_14166 WHERE "Debut year" = '1930' AND "Games" > '7' AND "Player" = 'colin benham' | [
13828,
13212,
379,
3430,
423,
257,
1024,
4360,
614,
286,
15533,
11,
290,
5776,
4025,
621,
767,
11,
290,
257,
7853,
286,
951,
259,
1888,
2763,
30,
46506,
366,
40630,
379,
3430,
1,
16034,
3084,
62,
1415,
23055,
33411,
366,
16587,
315,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
13828,
13212,
379,
3430,
423,
257,
1024,
4360,
614,
286,
15533,
11,
290,
5776,
4025,
621,
767,
11,
290,
257,
7853,
286,
951,
259,
1888,
2763,
30,
46506,
366,
40630,
379,
3430,
1,
16034,
3084,
62,
1415,
23055,
33411,
366,
16587,
315,
... |
For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of phone_number and employee_id , and list X in desc order please. | SELECT PHONE_NUMBER, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER DESC | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
3072,
62,
17618,
290,
6538,
62,
312,
837,
290,
1351,
1395,
287,
1715,
1502,
3387... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
3072,
62,
17618,
290,
6538,
62,
312,
837,
290,
1351,
1395,
287,
1715,
1502,
3387... |
In the final Stage with a Mountains Classification of Christophe Moreau, what is the Team Classification? | SELECT "Team Classification" FROM table_45371 WHERE "Mountains Classification" = 'christophe moreau' AND "Stage" = 'final' | [
818,
262,
2457,
15371,
351,
257,
21124,
40984,
286,
1951,
43852,
3125,
559,
11,
644,
318,
262,
4816,
40984,
30,
46506,
366,
15592,
40984,
1,
16034,
3084,
62,
2231,
38056,
33411,
366,
35452,
1299,
40984,
1,
796,
705,
43533,
43852,
517,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
818,
262,
2457,
15371,
351,
257,
21124,
40984,
286,
1951,
43852,
3125,
559,
11,
644,
318,
262,
4816,
40984,
30,
46506,
366,
15592,
40984,
1,
16034,
3084,
62,
2231,
38056,
33411,
366,
35452,
1299,
40984,
1,
796,
705,
43533,
43852,
517,
... |
what time patient 13536 had last had the maximum arterial bp [systolic] value until 05/09/2105? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13536)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial... | [
10919,
640,
5827,
17501,
2623,
550,
938,
550,
262,
5415,
30675,
498,
275,
79,
685,
1837,
301,
4160,
60,
1988,
1566,
8870,
14,
2931,
14,
17,
13348,
30,
46506,
8262,
31534,
13,
40926,
2435,
16034,
8262,
31534,
33411,
8262,
31534,
13,
29... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
640,
5827,
17501,
2623,
550,
938,
550,
262,
5415,
30675,
498,
275,
79,
685,
1837,
301,
4160,
60,
1988,
1566,
8870,
14,
2931,
14,
17,
13348,
30,
46506,
8262,
31534,
13,
40926,
2435,
16034,
8262,
31534,
33411,
8262,
31534,
13,
29... |
who are the writers of the episode whose production code is 176206? | SELECT "Written by" FROM table_30653 WHERE "Production code" = '176206' | [
8727,
389,
262,
8786,
286,
262,
4471,
3025,
3227,
2438,
318,
26937,
22136,
30,
46506,
366,
25354,
416,
1,
16034,
3084,
62,
1270,
46435,
33411,
366,
35027,
2438,
1,
796,
705,
24096,
22136,
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
] | [
8727,
389,
262,
8786,
286,
262,
4471,
3025,
3227,
2438,
318,
26937,
22136,
30,
46506,
366,
25354,
416,
1,
16034,
3084,
62,
1270,
46435,
33411,
366,
35027,
2438,
1,
796,
705,
24096,
22136,
6
] |
Who made the comments for radio broadcast when Jan Gabrielsson made them for television broadcast? | SELECT radio_commentator FROM table_2794180_11 WHERE television_commentator = "Jan Gabrielsson" | [
8241,
925,
262,
3651,
329,
5243,
7025,
618,
2365,
17371,
16528,
925,
606,
329,
5581,
7025,
30,
46506,
5243,
62,
23893,
1352,
16034,
3084,
62,
1983,
5824,
15259,
62,
1157,
33411,
5581,
62,
23893,
1352,
796,
366,
12128,
17371,
16528,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
925,
262,
3651,
329,
5243,
7025,
618,
2365,
17371,
16528,
925,
606,
329,
5581,
7025,
30,
46506,
5243,
62,
23893,
1352,
16034,
3084,
62,
1983,
5824,
15259,
62,
1157,
33411,
5581,
62,
23893,
1352,
796,
366,
12128,
17371,
16528,
1
] |
what is gender of subject id 17787? | SELECT demographic.gender FROM demographic WHERE demographic.subject_id = "17787" | [
10919,
318,
5279,
286,
2426,
4686,
1596,
41019,
30,
46506,
16728,
13,
8388,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
1558,
41019,
1
] | [
1,
1,
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,
286,
2426,
4686,
1596,
41019,
30,
46506,
16728,
13,
8388,
16034,
16728,
33411,
16728,
13,
32796,
62,
312,
796,
366,
1558,
41019,
1
] |
Name the result with notes of quarter-finals and event of adcc 2001 absolute | SELECT result FROM table_name_65 WHERE notes = "quarter-finals" AND event = "adcc 2001 absolute" | [
5376,
262,
1255,
351,
4710,
286,
3860,
12,
32089,
290,
1785,
286,
512,
535,
5878,
4112,
46506,
1255,
16034,
3084,
62,
3672,
62,
2996,
33411,
4710,
796,
366,
24385,
12,
32089,
1,
5357,
1785,
796,
366,
324,
535,
5878,
4112,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1255,
351,
4710,
286,
3860,
12,
32089,
290,
1785,
286,
512,
535,
5878,
4112,
46506,
1255,
16034,
3084,
62,
3672,
62,
2996,
33411,
4710,
796,
366,
24385,
12,
32089,
1,
5357,
1785,
796,
366,
324,
535,
5878,
4112,
1
] |
what is the number of patients whose year of birth is less than 2110 and lab test name is asparate aminotransferase (ast)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2110" AND lab.label = "Asparate Aminotransferase (AST)" | [
10919,
318,
262,
1271,
286,
3871,
3025,
614,
286,
4082,
318,
1342,
621,
2310,
940,
290,
2248,
1332,
1438,
318,
355,
1845,
378,
716,
259,
313,
26084,
2232,
589,
357,
459,
19427,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
1271,
286,
3871,
3025,
614,
286,
4082,
318,
1342,
621,
2310,
940,
290,
2248,
1332,
1438,
318,
355,
1845,
378,
716,
259,
313,
26084,
2232,
589,
357,
459,
19427,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
... |
What is Alyona Klimenko's Pos.? | SELECT pos FROM table_name_86 WHERE name = "alyona klimenko" | [
2061,
318,
47535,
4450,
509,
2475,
32720,
338,
18574,
40791,
46506,
1426,
16034,
3084,
62,
3672,
62,
4521,
33411,
1438,
796,
366,
3400,
4450,
479,
2475,
32720,
1
] | [
1,
1,
1,
1,
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,
47535,
4450,
509,
2475,
32720,
338,
18574,
40791,
46506,
1426,
16034,
3084,
62,
3672,
62,
4521,
33411,
1438,
796,
366,
3400,
4450,
479,
2475,
32720,
1
] |
patient 003-34282 has been tested for troponin - i in 2105? | SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '003-34282')) AND lab.labname = 'troponin - i' AND STRFTIME('%y', lab.labresulttime) = '2... | [
26029,
3571,
18,
12,
2682,
32568,
468,
587,
6789,
329,
14673,
261,
259,
532,
1312,
287,
362,
13348,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
2248,
33411,
2248,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
26029,
3571,
18,
12,
2682,
32568,
468,
587,
6789,
329,
14673,
261,
259,
532,
1312,
287,
362,
13348,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
2248,
33411,
2248,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
... |
find the drug type of potassium phosphate. | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Potassium Phosphate" | [
19796,
262,
2563,
2099,
286,
33156,
46926,
13,
46506,
34092,
13,
30349,
62,
4906,
16034,
34092,
33411,
34092,
13,
30349,
796,
366,
25396,
26663,
1380,
14222,
378,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
19796,
262,
2563,
2099,
286,
33156,
46926,
13,
46506,
34092,
13,
30349,
62,
4906,
16034,
34092,
33411,
34092,
13,
30349,
796,
366,
25396,
26663,
1380,
14222,
378,
1
] |
How many heavy attacks did the 450 Luftflotte 2 conduct? | SELECT COUNT(heavy_attacks) FROM table_name_29 WHERE luftflotte_2_sorties = 450 | [
2437,
867,
4334,
3434,
750,
262,
18523,
6026,
701,
2704,
11404,
362,
3189,
30,
46506,
327,
28270,
7,
23701,
62,
38458,
8,
16034,
3084,
62,
3672,
62,
1959,
33411,
300,
84,
701,
2704,
11404,
62,
17,
62,
30619,
444,
796,
18523
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4334,
3434,
750,
262,
18523,
6026,
701,
2704,
11404,
362,
3189,
30,
46506,
327,
28270,
7,
23701,
62,
38458,
8,
16034,
3084,
62,
3672,
62,
1959,
33411,
300,
84,
701,
2704,
11404,
62,
17,
62,
30619,
444,
796,
18523
] |
Is there any other person besides Prof. Bagchi who teaches Advanced Writing for Graduate Students ? | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Advanced Writing for Graduate Students%' AND NOT instructor.name LIKE '%Bagchi%' AND offering_instructor.... | [
3792,
612,
597,
584,
1048,
13769,
4415,
13,
20127,
11072,
508,
17324,
13435,
22183,
329,
30930,
14882,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
21187,
13,
3672,
16034,
1781,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3792,
612,
597,
584,
1048,
13769,
4415,
13,
20127,
11072,
508,
17324,
13435,
22183,
329,
30930,
14882,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
21187,
13,
3672,
16034,
1781,... |
Draw a bar chart about the distribution of Time and ID , and sort y-axis in ascending order please. | SELECT Time, ID FROM swimmer ORDER BY ID | [
25302,
257,
2318,
8262,
546,
262,
6082,
286,
3862,
290,
4522,
837,
290,
3297,
331,
12,
22704,
287,
41988,
1502,
3387,
13,
46506,
3862,
11,
4522,
16034,
9422,
647,
38678,
11050,
4522
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
25302,
257,
2318,
8262,
546,
262,
6082,
286,
3862,
290,
4522,
837,
290,
3297,
331,
12,
22704,
287,
41988,
1502,
3387,
13,
46506,
3862,
11,
4522,
16034,
9422,
647,
38678,
11050,
4522
] |
Show me a bar chart about the number of races held in each year after 2014, could you list total number in descending order please? | SELECT year, COUNT(year) FROM races AS T1 JOIN results AS T2 ON T1.raceId = T2.raceId WHERE T1.year > 2014 GROUP BY year ORDER BY COUNT(year) DESC | [
15307,
502,
257,
2318,
8262,
546,
262,
1271,
286,
9558,
2714,
287,
1123,
614,
706,
1946,
11,
714,
345,
1351,
2472,
1271,
287,
31491,
1502,
3387,
30,
46506,
614,
11,
327,
28270,
7,
1941,
8,
16034,
9558,
7054,
309,
16,
32357,
1268,
24... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
15307,
502,
257,
2318,
8262,
546,
262,
1271,
286,
9558,
2714,
287,
1123,
614,
706,
1946,
11,
714,
345,
1351,
2472,
1271,
287,
31491,
1502,
3387,
30,
46506,
614,
11,
327,
28270,
7,
1941,
8,
16034,
9558,
7054,
309,
16,
32357,
1268,
24... |
Jason Goemaat upvotes by tag. | SELECT TagName, COUNT(*) AS UpVotes FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId INNER JOIN Votes ON Votes.PostId = Posts.Id AND VoteTypeId = 2 WHERE Posts.OwnerUserId = @UserId GROUP BY TagName ORDER BY UpVotes DESC | [
26497,
1514,
19687,
265,
510,
29307,
416,
7621,
13,
46506,
17467,
5376,
11,
327,
28270,
7,
28104,
7054,
3205,
53,
6421,
16034,
44789,
3268,
21479,
32357,
1268,
2947,
36142,
6177,
2947,
36142,
13,
24835,
7390,
796,
44789,
13,
7390,
3268,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
26497,
1514,
19687,
265,
510,
29307,
416,
7621,
13,
46506,
17467,
5376,
11,
327,
28270,
7,
28104,
7054,
3205,
53,
6421,
16034,
44789,
3268,
21479,
32357,
1268,
2947,
36142,
6177,
2947,
36142,
13,
24835,
7390,
796,
44789,
13,
7390,
3268,
... |
Which system is named ELKJS? | SELECT system FROM table_name_66 WHERE name = "elkjs" | [
13828,
1080,
318,
3706,
17852,
42,
20120,
30,
46506,
1080,
16034,
3084,
62,
3672,
62,
2791,
33411,
1438,
796,
366,
417,
74,
8457,
1
] | [
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,
1080,
318,
3706,
17852,
42,
20120,
30,
46506,
1080,
16034,
3084,
62,
3672,
62,
2791,
33411,
1438,
796,
366,
417,
74,
8457,
1
] |
until 2103, what are the top four most frequently diagnosed diagnoses that patients were given in the same month after the diagnosis of depressive disorder nec? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions... | [
28446,
362,
15197,
11,
644,
389,
262,
1353,
1440,
749,
6777,
14641,
40567,
326,
3871,
547,
1813,
287,
262,
976,
1227,
706,
262,
13669,
286,
36568,
8967,
27576,
30,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
16034,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
28446,
362,
15197,
11,
644,
389,
262,
1353,
1440,
749,
6777,
14641,
40567,
326,
3871,
547,
1813,
287,
262,
976,
1227,
706,
262,
13669,
286,
36568,
8967,
27576,
30,
46506,
288,
62,
291,
67,
62,
47356,
4629,
13,
19509,
62,
7839,
16034,
... |
What is the most silver won by Norway? | SELECT MAX(silver) FROM table_name_76 WHERE nation = "norway" | [
2061,
318,
262,
749,
8465,
1839,
416,
15238,
30,
46506,
25882,
7,
40503,
8,
16034,
3084,
62,
3672,
62,
4304,
33411,
3277,
796,
366,
13099,
1014,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
749,
8465,
1839,
416,
15238,
30,
46506,
25882,
7,
40503,
8,
16034,
3084,
62,
3672,
62,
4304,
33411,
3277,
796,
366,
13099,
1014,
1
] |
What are the names of the county that the delegates on 'Appropriations' committee belong to? | SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T2.Committee = "Appropriations" | [
2061,
389,
262,
3891,
286,
262,
7968,
326,
262,
15265,
319,
705,
4677,
9219,
602,
6,
5583,
5594,
284,
30,
46506,
309,
16,
13,
12332,
88,
62,
3672,
16034,
7968,
7054,
309,
16,
32357,
1268,
3071,
7054,
309,
17,
6177,
309,
16,
13,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
389,
262,
3891,
286,
262,
7968,
326,
262,
15265,
319,
705,
4677,
9219,
602,
6,
5583,
5594,
284,
30,
46506,
309,
16,
13,
12332,
88,
62,
3672,
16034,
7968,
7054,
309,
16,
32357,
1268,
3071,
7054,
309,
17,
6177,
309,
16,
13,
12... |
How many byes when the draws are less than 0? | SELECT COUNT(byes) FROM table_name_22 WHERE draws < 0 | [
2437,
867,
416,
274,
618,
262,
14293,
389,
1342,
621,
657,
30,
46506,
327,
28270,
7,
1525,
274,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
14293,
1279,
657
] | [
1,
1,
1,
1,
1,
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,
416,
274,
618,
262,
14293,
389,
1342,
621,
657,
30,
46506,
327,
28270,
7,
1525,
274,
8,
16034,
3084,
62,
3672,
62,
1828,
33411,
14293,
1279,
657
] |
what was the maximum hemoglobin value for patient 9619 until 05/2102. | SELECT MAX(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 9619) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hemoglobin') AND STRFTIME('%y-%m', labevents.charttime) <= '2102-05' | [
10919,
373,
262,
5415,
16869,
49835,
1988,
329,
5827,
9907,
1129,
1566,
8870,
14,
17,
15377,
13,
46506,
25882,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
373,
262,
5415,
16869,
49835,
1988,
329,
5827,
9907,
1129,
1566,
8870,
14,
17,
15377,
13,
46506,
25882,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
... |
Which week has Game site of Candlestick Park? | SELECT week FROM table_name_32 WHERE game_site = "candlestick park" | [
13828,
1285,
468,
3776,
2524,
286,
15518,
32712,
624,
3250,
30,
46506,
1285,
16034,
3084,
62,
3672,
62,
2624,
33411,
983,
62,
15654,
796,
366,
46188,
32712,
624,
3952,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
1285,
468,
3776,
2524,
286,
15518,
32712,
624,
3250,
30,
46506,
1285,
16034,
3084,
62,
3672,
62,
2624,
33411,
983,
62,
15654,
796,
366,
46188,
32712,
624,
3952,
1
] |
For those employees who did not have any job in the past, a bar chart shows the distribution of job_id and the average of salary , and group by attribute job_id, and I want to show bars in asc order. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
9588,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
314,
765,
284,
905,
9210,
287... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
257,
2318,
8262,
2523,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
9588,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
314,
765,
284,
905,
9210,
287... |
Which Losses have Draws larger than 6, and a Club of cd mestalla, and Goals against larger than 44? | SELECT MIN(losses) FROM table_name_75 WHERE draws > 6 AND club = "cd mestalla" AND goals_against > 44 | [
13828,
22014,
274,
423,
15315,
82,
4025,
621,
718,
11,
290,
257,
6289,
286,
22927,
285,
395,
30315,
11,
290,
28510,
1028,
4025,
621,
5846,
30,
46506,
20625,
7,
22462,
274,
8,
16034,
3084,
62,
3672,
62,
2425,
33411,
14293,
1875,
718,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
22014,
274,
423,
15315,
82,
4025,
621,
718,
11,
290,
257,
6289,
286,
22927,
285,
395,
30315,
11,
290,
28510,
1028,
4025,
621,
5846,
30,
46506,
20625,
7,
22462,
274,
8,
16034,
3084,
62,
3672,
62,
2425,
33411,
14293,
1875,
718,
... |
what are the top three most frequent specimen tests that patients took during the same hospital encounter after being diagnosed with hot substance accid nec since 4 years ago? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnos... | [
10919,
389,
262,
1353,
1115,
749,
10792,
31674,
5254,
326,
3871,
1718,
1141,
262,
976,
4436,
8791,
706,
852,
14641,
351,
3024,
9136,
697,
312,
27576,
1201,
604,
812,
2084,
30,
46506,
256,
18,
13,
16684,
62,
4906,
62,
20147,
16034,
357... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
389,
262,
1353,
1115,
749,
10792,
31674,
5254,
326,
3871,
1718,
1141,
262,
976,
4436,
8791,
706,
852,
14641,
351,
3024,
9136,
697,
312,
27576,
1201,
604,
812,
2084,
30,
46506,
256,
18,
13,
16684,
62,
4906,
62,
20147,
16034,
357... |
Top answerers grouped by Tag. | WITH TagUsers AS (SELECT Answers.OwnerUserId AS "user_link", Tags.TagName, COUNT(Tags.TagName) AS "count" FROM Posts AS Answers INNER JOIN PostTags ON ParentId = PostTags.PostId INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE Answers.PostTypeId = 2 GROUP BY Tags.TagName, Answers.OwnerUserId) SELECT * FROM TagUsers AS... | [
9126,
2590,
19288,
32824,
416,
17467,
13,
54,
10554,
17467,
14490,
7054,
357,
46506,
42612,
13,
42419,
12982,
7390,
7054,
366,
7220,
62,
8726,
1600,
44789,
13,
24835,
5376,
11,
327,
28270,
7,
36142,
13,
24835,
5376,
8,
7054,
366,
9127,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2590,
19288,
32824,
416,
17467,
13,
54,
10554,
17467,
14490,
7054,
357,
46506,
42612,
13,
42419,
12982,
7390,
7054,
366,
7220,
62,
8726,
1600,
44789,
13,
24835,
5376,
11,
327,
28270,
7,
36142,
13,
24835,
5376,
8,
7054,
366,
9127,
... |
which illustrator was responsible for the last award winner ? | SELECT "illustrator" FROM table_203_788 ORDER BY "year" DESC LIMIT 1 | [
4758,
6406,
12392,
373,
4497,
329,
262,
938,
5764,
8464,
5633,
46506,
366,
359,
436,
12392,
1,
16034,
3084,
62,
22416,
62,
22,
3459,
38678,
11050,
366,
1941,
1,
22196,
34,
27564,
2043,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
4758,
6406,
12392,
373,
4497,
329,
262,
938,
5764,
8464,
5633,
46506,
366,
359,
436,
12392,
1,
16034,
3084,
62,
22416,
62,
22,
3459,
38678,
11050,
366,
1941,
1,
22196,
34,
27564,
2043,
352
] |
What is the average laps for lorenzo bandini with a grid under 3? | SELECT AVG(laps) FROM table_name_91 WHERE driver = "lorenzo bandini" AND grid < 3 | [
2061,
318,
262,
2811,
24590,
329,
24044,
77,
10872,
4097,
5362,
351,
257,
10706,
739,
513,
30,
46506,
35224,
7,
75,
1686,
8,
16034,
3084,
62,
3672,
62,
6420,
33411,
4639,
796,
366,
75,
29578,
10872,
4097,
5362,
1,
5357,
10706,
1279,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
24590,
329,
24044,
77,
10872,
4097,
5362,
351,
257,
10706,
739,
513,
30,
46506,
35224,
7,
75,
1686,
8,
16034,
3084,
62,
3672,
62,
6420,
33411,
4639,
796,
366,
75,
29578,
10872,
4097,
5362,
1,
5357,
10706,
1279,
... |
proteinuria ( urine protein > 200 mg / dl ) or a creatinine > 1.5 mg / dl ( male ) or 1.4 mg / dl ( female ) | SELECT * FROM table_train_157 WHERE (proteinuria = 1 OR urine_protein > 200) OR (creatinine_clearance_cl > 1.5 AND gender = 'male') OR (creatinine_clearance_cl > 1.4 AND gender = 'female') | [
48693,
34484,
357,
18922,
7532,
1875,
939,
10527,
1220,
288,
75,
1267,
393,
257,
1827,
259,
500,
1875,
352,
13,
20,
10527,
1220,
288,
75,
357,
4257,
1267,
393,
352,
13,
19,
10527,
1220,
288,
75,
357,
4048,
1267,
46506,
1635,
16034,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
48693,
34484,
357,
18922,
7532,
1875,
939,
10527,
1220,
288,
75,
1267,
393,
257,
1827,
259,
500,
1875,
352,
13,
20,
10527,
1220,
288,
75,
357,
4257,
1267,
393,
352,
13,
19,
10527,
1220,
288,
75,
357,
4048,
1267,
46506,
1635,
16034,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.