instruction stringlengths 0 1.06k | response stringlengths 2 3.61k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
What was the score for Hawthorn when they were the away team? | SELECT away_team AS score FROM table_name_56 WHERE away_team = "hawthorn" | [
2061,
373,
262,
4776,
329,
41457,
1211,
618,
484,
547,
262,
1497,
1074,
30,
46506,
1497,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
3980,
33411,
1497,
62,
15097,
796,
366,
26615,
400,
1211,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
329,
41457,
1211,
618,
484,
547,
262,
1497,
1074,
30,
46506,
1497,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
3980,
33411,
1497,
62,
15097,
796,
366,
26615,
400,
1211,
1
] |
My posts (only links) in reverse chronological order. | SELECT p.Id AS "post_link" FROM Posts AS p WHERE p.OwnerUserId = '##UserId##' ORDER BY p.CreationDate DESC | [
3666,
6851,
357,
8807,
6117,
8,
287,
9575,
45946,
1502,
13,
46506,
279,
13,
7390,
7054,
366,
7353,
62,
8726,
1,
16034,
12043,
7054,
279,
33411,
279,
13,
42419,
12982,
7390,
796,
705,
2235,
12982,
7390,
2235,
6,
38678,
11050,
279,
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
] | [
3666,
6851,
357,
8807,
6117,
8,
287,
9575,
45946,
1502,
13,
46506,
279,
13,
7390,
7054,
366,
7353,
62,
8726,
1,
16034,
12043,
7054,
279,
33411,
279,
13,
42419,
12982,
7390,
796,
705,
2235,
12982,
7390,
2235,
6,
38678,
11050,
279,
13,
... |
What is the Team that has a Races of 4, and a Points of 0? | SELECT "Team" FROM table_50631 WHERE "Races" = '4' AND "Points" = '0' | [
2061,
318,
262,
4816,
326,
468,
257,
45134,
286,
604,
11,
290,
257,
11045,
286,
657,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
35638,
3132,
33411,
366,
49,
2114,
1,
796,
705,
19,
6,
5357,
366,
40710,
1,
796,
705,
15,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
4816,
326,
468,
257,
45134,
286,
604,
11,
290,
257,
11045,
286,
657,
30,
46506,
366,
15592,
1,
16034,
3084,
62,
35638,
3132,
33411,
366,
49,
2114,
1,
796,
705,
19,
6,
5357,
366,
40710,
1,
796,
705,
15,
6
] |
Name the maximum clock rate mhz | SELECT MAX(clock_rate__mhz_) FROM table_142573_1 | [
5376,
262,
5415,
8801,
2494,
285,
32179,
46506,
25882,
7,
15750,
62,
4873,
834,
76,
32179,
62,
8,
16034,
3084,
62,
1415,
1495,
4790,
62,
16
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
5415,
8801,
2494,
285,
32179,
46506,
25882,
7,
15750,
62,
4873,
834,
76,
32179,
62,
8,
16034,
3084,
62,
1415,
1495,
4790,
62,
16
] |
has patient 027-142451 had a wound care - dressing change procedure performed at other hospitals in 2105? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '027-142451' AND patient.hospitalid <> (SELECT DISTINCT patient.hospitalid FROM patient WHERE patient.uniquepid = '027-142451' AND patient.hospitaldischargetime IS NULL)) AND ... | [
10134,
5827,
657,
1983,
12,
1415,
1731,
4349,
550,
257,
11699,
1337,
532,
18544,
1487,
8771,
6157,
379,
584,
11301,
287,
362,
13348,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
3513,
33411,
3513,
13,
26029,
20850,
31712,
312,
326... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10134,
5827,
657,
1983,
12,
1415,
1731,
4349,
550,
257,
11699,
1337,
532,
18544,
1487,
8771,
6157,
379,
584,
11301,
287,
362,
13348,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
3513,
33411,
3513,
13,
26029,
20850,
31712,
312,
326... |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of department_id over the hire_date bin hire_date by weekday by a bar chart, list in asc by the y axis. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(DEPARTMENT_ID) | [
1890,
883,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
5011,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
28269,
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,
4409,
508,
466,
407,
670,
287,
13346,
351,
11663,
326,
423,
220,
2340,
1022,
1802,
290,
939,
11,
1577,
502,
262,
7208,
546,
262,
2811,
286,
5011,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
28269,
416,... |
what are the evening flights from ATLANTA to BALTIMORE | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTI... | [
10919,
389,
262,
6180,
13956,
422,
5161,
25697,
5603,
284,
347,
31429,
3955,
1581,
33635,
16779,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6180,
13956,
422,
5161,
25697,
5603,
284,
347,
31429,
3955,
1581,
33635,
16779,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,... |
What are the notes for the shirt that says +1 in the kit supplied by Rapido? | SELECT notes FROM table_name_85 WHERE kit_supplier = "rapido" AND shirt_printing = "名品+1" | [
2061,
389,
262,
4710,
329,
262,
10147,
326,
1139,
1343,
16,
287,
262,
6220,
14275,
416,
12281,
17305,
30,
46506,
4710,
16034,
3084,
62,
3672,
62,
5332,
33411,
6220,
62,
18608,
2505,
796,
366,
2416,
17305,
1,
5357,
10147,
62,
4798,
278... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4710,
329,
262,
10147,
326,
1139,
1343,
16,
287,
262,
6220,
14275,
416,
12281,
17305,
30,
46506,
4710,
16034,
3084,
62,
3672,
62,
5332,
33411,
6220,
62,
18608,
2505,
796,
366,
2416,
17305,
1,
5357,
10147,
62,
4798,
278... |
How much Attendance has an Opponent of swindon wildcats? | SELECT COUNT("Attendance") FROM table_34417 WHERE "Opponent" = 'swindon wildcats' | [
2437,
881,
46502,
590,
468,
281,
9385,
3471,
286,
1509,
521,
261,
4295,
24619,
30,
46506,
327,
28270,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
33535,
1558,
33411,
366,
27524,
3471,
1,
796,
705,
2032,
521,
261,
4295,
24619,
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
] | [
2437,
881,
46502,
590,
468,
281,
9385,
3471,
286,
1509,
521,
261,
4295,
24619,
30,
46506,
327,
28270,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
33535,
1558,
33411,
366,
27524,
3471,
1,
796,
705,
2032,
521,
261,
4295,
24619,
6
] |
When bahamas is the country what is the height in centimeters? | SELECT height__cm_ FROM table_18626383_2 WHERE country = "Bahamas" | [
2215,
275,
993,
17485,
318,
262,
1499,
644,
318,
262,
6001,
287,
48829,
30,
46506,
6001,
834,
11215,
62,
16034,
3084,
62,
25096,
2075,
34741,
62,
17,
33411,
1499,
796,
366,
47514,
17485,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
275,
993,
17485,
318,
262,
1499,
644,
318,
262,
6001,
287,
48829,
30,
46506,
6001,
834,
11215,
62,
16034,
3084,
62,
25096,
2075,
34741,
62,
17,
33411,
1499,
796,
366,
47514,
17485,
1
] |
What is the lowest number conceded for the team that had less than 8 wins, scored 21, and had less than 23 points? | SELECT MIN(conceded) FROM table_name_77 WHERE wins < 8 AND scored = 21 AND points < 23 | [
2061,
318,
262,
9016,
1271,
24684,
329,
262,
1074,
326,
550,
1342,
621,
807,
7864,
11,
7781,
2310,
11,
290,
550,
1342,
621,
2242,
2173,
30,
46506,
20625,
7,
1102,
771,
276,
8,
16034,
3084,
62,
3672,
62,
3324,
33411,
7864,
1279,
807,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
9016,
1271,
24684,
329,
262,
1074,
326,
550,
1342,
621,
807,
7864,
11,
7781,
2310,
11,
290,
550,
1342,
621,
2242,
2173,
30,
46506,
20625,
7,
1102,
771,
276,
8,
16034,
3084,
62,
3672,
62,
3324,
33411,
7864,
1279,
807,... |
which patients have prescription for aripiprazole medication? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Aripiprazole" | [
4758,
3871,
423,
15077,
329,
257,
5528,
541,
3247,
2305,
14103,
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,
340... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3871,
423,
15077,
329,
257,
5528,
541,
3247,
2305,
14103,
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,
340... |
What's the average total if the Bronze is 5 and the Silver is less than 4? | SELECT AVG(total) FROM table_name_25 WHERE bronze = 5 AND silver < 4 | [
2061,
338,
262,
2811,
2472,
611,
262,
19461,
318,
642,
290,
262,
7698,
318,
1342,
621,
604,
30,
46506,
35224,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
1495,
33411,
22101,
796,
642,
5357,
8465,
1279,
604
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2811,
2472,
611,
262,
19461,
318,
642,
290,
262,
7698,
318,
1342,
621,
604,
30,
46506,
35224,
7,
23350,
8,
16034,
3084,
62,
3672,
62,
1495,
33411,
22101,
796,
642,
5357,
8465,
1279,
604
] |
For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of employee_id , and group by attribute job_id, and list bars in asc order. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID | [
1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2160,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
1351,
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,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
3197,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2160,
286,
6538,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
1351,
9210,
287... |
what was the score on june 29 when the devil rays los? | SELECT score FROM table_name_11 WHERE losing_team = "devil rays" AND date = "june 29" | [
10919,
373,
262,
4776,
319,
474,
1726,
2808,
618,
262,
17118,
24823,
22346,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
1157,
33411,
6078,
62,
15097,
796,
366,
7959,
346,
24823,
1,
5357,
3128,
796,
366,
73,
1726,
2808,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
373,
262,
4776,
319,
474,
1726,
2808,
618,
262,
17118,
24823,
22346,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
1157,
33411,
6078,
62,
15097,
796,
366,
7959,
346,
24823,
1,
5357,
3128,
796,
366,
73,
1726,
2808,
1
] |
what is the maximum number of hull numbers? | SELECT MAX(hull_numbers) FROM table_12232526_2 | [
10919,
318,
262,
5415,
1271,
286,
23644,
3146,
30,
46506,
25882,
7,
71,
724,
62,
77,
17024,
8,
16034,
3084,
62,
1065,
1954,
1495,
2075,
62,
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
] | [
10919,
318,
262,
5415,
1271,
286,
23644,
3146,
30,
46506,
25882,
7,
71,
724,
62,
77,
17024,
8,
16034,
3084,
62,
1065,
1954,
1495,
2075,
62,
17
] |
how many patients whose age is less than 85 and procedure long title is other diagnostic procedures on skin and subcutaneous tissue? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "85" AND procedures.long_title = "Other diagnostic procedures on skin and subcutaneous tissue" | [
4919,
867,
3871,
3025,
2479,
318,
1342,
621,
7600,
290,
8771,
890,
3670,
318,
584,
23584,
9021,
319,
4168,
290,
850,
8968,
11655,
10712,
30,
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... | [
4919,
867,
3871,
3025,
2479,
318,
1342,
621,
7600,
290,
8771,
890,
3670,
318,
584,
23584,
9021,
319,
4168,
290,
850,
8968,
11655,
10712,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,... |
when was last time patient 26350 was measured with a respiratory rate less than 18.0? | 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 = 26350)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'respirat... | [
12518,
373,
938,
640,
5827,
2608,
14877,
373,
8630,
351,
257,
22949,
2494,
1342,
621,
1248,
13,
15,
30,
46506,
8262,
31534,
13,
40926,
2435,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12518,
373,
938,
640,
5827,
2608,
14877,
373,
8630,
351,
257,
22949,
2494,
1342,
621,
1248,
13,
15,
30,
46506,
8262,
31534,
13,
40926,
2435,
16034,
8262,
31534,
33411,
8262,
31534,
13,
291,
436,
323,
62,
312,
3268,
357,
46506,
14158,
... |
What is the Place of the Player with a Score of 67-76-74-67=284? | SELECT place FROM table_name_37 WHERE score = 67 - 76 - 74 - 67 = 284 | [
2061,
318,
262,
8474,
286,
262,
7853,
351,
257,
15178,
286,
8275,
12,
4304,
12,
4524,
12,
3134,
28,
30336,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
2718,
33411,
4776,
796,
8275,
532,
8684,
532,
8915,
532,
8275,
796,
40654
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8474,
286,
262,
7853,
351,
257,
15178,
286,
8275,
12,
4304,
12,
4524,
12,
3134,
28,
30336,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
2718,
33411,
4776,
796,
8275,
532,
8684,
532,
8915,
532,
8275,
796,
40654
] |
What is the marketing region code that has the most drama workshop groups? | SELECT Marketing_Region_Code FROM Drama_Workshop_Groups GROUP BY Marketing_Region_Code ORDER BY COUNT(*) DESC LIMIT 1 | [
2061,
318,
262,
7124,
3814,
2438,
326,
468,
262,
749,
10512,
20243,
2628,
30,
46506,
22137,
62,
47371,
62,
10669,
16034,
30647,
62,
23044,
8548,
62,
38,
14459,
44441,
11050,
22137,
62,
47371,
62,
10669,
38678,
11050,
327,
28270,
7,
2810... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7124,
3814,
2438,
326,
468,
262,
749,
10512,
20243,
2628,
30,
46506,
22137,
62,
47371,
62,
10669,
16034,
30647,
62,
23044,
8548,
62,
38,
14459,
44441,
11050,
22137,
62,
47371,
62,
10669,
38678,
11050,
327,
28270,
7,
2810... |
What is Place, when Score is '73-71=144', and when Player is 'Scott Simpson'? | SELECT place FROM table_name_66 WHERE score = 73 - 71 = 144 AND player = "scott simpson" | [
2061,
318,
8474,
11,
618,
15178,
318,
705,
4790,
12,
4869,
28,
18444,
3256,
290,
618,
7853,
318,
705,
19040,
20531,
30960,
46506,
1295,
16034,
3084,
62,
3672,
62,
2791,
33411,
4776,
796,
8854,
532,
9166,
796,
20224,
5357,
2137,
796,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
8474,
11,
618,
15178,
318,
705,
4790,
12,
4869,
28,
18444,
3256,
290,
618,
7853,
318,
705,
19040,
20531,
30960,
46506,
1295,
16034,
3084,
62,
3672,
62,
2791,
33411,
4776,
796,
8854,
532,
9166,
796,
20224,
5357,
2137,
796,
3... |
Custom Off Topic close reasons. | SELECT * FROM CloseAsOffTopicReasonTypes WHERE DeactivationDate IS NULL | [
15022,
3242,
47373,
1969,
3840,
13,
46506,
1635,
16034,
13872,
1722,
9362,
33221,
45008,
31431,
33411,
1024,
48545,
10430,
3180,
15697
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15022,
3242,
47373,
1969,
3840,
13,
46506,
1635,
16034,
13872,
1722,
9362,
33221,
45008,
31431,
33411,
1024,
48545,
10430,
3180,
15697
] |
Name the recognised seats for pharmacology | SELECT "Recognised Seats" FROM table_2024 WHERE "Discipline" = 'Pharmacology' | [
5376,
262,
20915,
8632,
329,
25702,
1435,
46506,
366,
6690,
2360,
1417,
1001,
1381,
1,
16034,
3084,
62,
1238,
1731,
33411,
366,
7279,
34647,
1,
796,
705,
2725,
32813,
1435,
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
] | [
5376,
262,
20915,
8632,
329,
25702,
1435,
46506,
366,
6690,
2360,
1417,
1001,
1381,
1,
16034,
3084,
62,
1238,
1731,
33411,
366,
7279,
34647,
1,
796,
705,
2725,
32813,
1435,
6
] |
What was the surface on the game with margit r tel anett schutting as the opponent? | SELECT "Surface" FROM table_56732 WHERE "Opponents" = 'margit rüütel anett schutting' | [
2061,
373,
262,
4417,
319,
262,
983,
351,
6145,
270,
374,
13632,
281,
3087,
5513,
315,
889,
355,
262,
6125,
30,
46506,
366,
14214,
2550,
1,
16034,
3084,
62,
20,
3134,
2624,
33411,
366,
27524,
3906,
1,
796,
705,
30887,
270,
374,
9116... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4417,
319,
262,
983,
351,
6145,
270,
374,
13632,
281,
3087,
5513,
315,
889,
355,
262,
6125,
30,
46506,
366,
14214,
2550,
1,
16034,
3084,
62,
20,
3134,
2624,
33411,
366,
27524,
3906,
1,
796,
705,
30887,
270,
374,
9116... |
what was the cause of the most deaths ? | SELECT "description" FROM table_203_234 ORDER BY "total" DESC LIMIT 1 | [
10919,
373,
262,
2728,
286,
262,
749,
7040,
5633,
46506,
366,
11213,
1,
16034,
3084,
62,
22416,
62,
24409,
38678,
11050,
366,
23350,
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
] | [
10919,
373,
262,
2728,
286,
262,
749,
7040,
5633,
46506,
366,
11213,
1,
16034,
3084,
62,
22416,
62,
24409,
38678,
11050,
366,
23350,
1,
22196,
34,
27564,
2043,
352
] |
Who was the rookie who played when Matt Vinc was defensive and Pat Maddalena was offensive? | SELECT "Rookie" FROM table_55529 WHERE "Defensive" = 'matt vinc' AND "Offensive" = 'pat maddalena' | [
8241,
373,
262,
12302,
508,
2826,
618,
4705,
569,
1939,
373,
6110,
290,
3208,
21457,
282,
8107,
373,
5859,
30,
46506,
366,
49,
18055,
1,
16034,
3084,
62,
31046,
1959,
33411,
366,
7469,
2021,
1,
796,
705,
76,
1078,
410,
1939,
6,
5357... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12302,
508,
2826,
618,
4705,
569,
1939,
373,
6110,
290,
3208,
21457,
282,
8107,
373,
5859,
30,
46506,
366,
49,
18055,
1,
16034,
3084,
62,
31046,
1959,
33411,
366,
7469,
2021,
1,
796,
705,
76,
1078,
410,
1939,
6,
5357... |
what is the maximum daily number of patients with thrombot microangiopathy diagnosed until 2104? | SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'thrombot microangiopathy') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104' GROUP BY STRFTIME('%y... | [
10919,
318,
262,
5415,
4445,
1271,
286,
3871,
351,
294,
398,
13645,
4580,
648,
14922,
10036,
14641,
1566,
362,
13464,
30,
46506,
25882,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
40567,
62,
291... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
262,
5415,
4445,
1271,
286,
3871,
351,
294,
398,
13645,
4580,
648,
14922,
10036,
14641,
1566,
362,
13464,
30,
46506,
25882,
7,
83,
16,
13,
66,
16,
8,
16034,
357,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
40567,
62,
291... |
which candidate had the most votes ? | SELECT "candidate" FROM table_202_125 ORDER BY "votes" DESC LIMIT 1 | [
4758,
4540,
550,
262,
749,
5690,
5633,
46506,
366,
46188,
20540,
1,
16034,
3084,
62,
19004,
62,
11623,
38678,
11050,
366,
29307,
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
] | [
4758,
4540,
550,
262,
749,
5690,
5633,
46506,
366,
46188,
20540,
1,
16034,
3084,
62,
19004,
62,
11623,
38678,
11050,
366,
29307,
1,
22196,
34,
27564,
2043,
352
] |
what are the four most frequent intakes in 2100? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE STRFTIME('%y', inputevents_cv.charttime) = '2100' GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 4) | [
10919,
389,
262,
1440,
749,
10792,
42219,
287,
38123,
30,
46506,
288,
62,
23814,
13,
18242,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
9186,
312,
3268,
357,
46506,
256,
16,
13,
9186,
312,
16034,
357,
46506,
287,
79,
1133,
85,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1440,
749,
10792,
42219,
287,
38123,
30,
46506,
288,
62,
23814,
13,
18242,
16034,
288,
62,
23814,
33411,
288,
62,
23814,
13,
9186,
312,
3268,
357,
46506,
256,
16,
13,
9186,
312,
16034,
357,
46506,
287,
79,
1133,
85,
... |
What is the score when the tie is 8? | SELECT "Score" FROM table_78916 WHERE "Tie no" = '8' | [
2061,
318,
262,
4776,
618,
262,
9839,
318,
807,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
40401,
1433,
33411,
366,
51,
494,
645,
1,
796,
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
] | [
2061,
318,
262,
4776,
618,
262,
9839,
318,
807,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
40401,
1433,
33411,
366,
51,
494,
645,
1,
796,
705,
23,
6
] |
What is the period total number if the name is Gerald o? | SELECT COUNT(period) FROM table_24565004_8 WHERE name = "Geraldão" | [
2061,
318,
262,
2278,
2472,
1271,
611,
262,
1438,
318,
27027,
267,
30,
46506,
327,
28270,
7,
41007,
8,
16034,
3084,
62,
22995,
2996,
22914,
62,
23,
33411,
1438,
796,
366,
38,
12573,
28749,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2278,
2472,
1271,
611,
262,
1438,
318,
27027,
267,
30,
46506,
327,
28270,
7,
41007,
8,
16034,
3084,
62,
22995,
2996,
22914,
62,
23,
33411,
1438,
796,
366,
38,
12573,
28749,
1
] |
What music is in the film before 1962? | SELECT "Music" FROM table_55094 WHERE "Year" = '1962' | [
2061,
2647,
318,
287,
262,
2646,
878,
20033,
30,
46506,
366,
22648,
1,
16034,
3084,
62,
22730,
5824,
33411,
366,
17688,
1,
796,
705,
1129,
5237,
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,
2647,
318,
287,
262,
2646,
878,
20033,
30,
46506,
366,
22648,
1,
16034,
3084,
62,
22730,
5824,
33411,
366,
17688,
1,
796,
705,
1129,
5237,
6
] |
Which Rim diameter has a Neck diameter of 11.84 (.466)? | SELECT "Rim diameter" FROM table_74705 WHERE "Neck diameter" = '11.84 (.466)' | [
13828,
29542,
14753,
468,
257,
34726,
14753,
286,
1367,
13,
5705,
20262,
42199,
19427,
46506,
366,
49,
320,
14753,
1,
16034,
3084,
62,
4524,
34801,
33411,
366,
8199,
694,
14753,
1,
796,
705,
1157,
13,
5705,
20262,
42199,
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
] | [
13828,
29542,
14753,
468,
257,
34726,
14753,
286,
1367,
13,
5705,
20262,
42199,
19427,
46506,
366,
49,
320,
14753,
1,
16034,
3084,
62,
4524,
34801,
33411,
366,
8199,
694,
14753,
1,
796,
705,
1157,
13,
5705,
20262,
42199,
33047
] |
How many employees are there? | SELECT COUNT(*) FROM staff | [
2437,
867,
4409,
389,
612,
30,
46506,
327,
28270,
7,
28104,
16034,
3085
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
4409,
389,
612,
30,
46506,
327,
28270,
7,
28104,
16034,
3085
] |
what were the four most frequently taken specimen tests until 3 years ago? | SELECT t1.spec_type_desc FROM (SELECT microbiologyevents.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microbiologyevents WHERE DATETIME(microbiologyevents.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY microbiologyevents.spec_type_desc) AS t1 WHERE t1.c1 <= 4 | [
10919,
547,
262,
1440,
749,
6777,
2077,
31674,
5254,
1566,
513,
812,
2084,
30,
46506,
256,
16,
13,
16684,
62,
4906,
62,
20147,
16034,
357,
46506,
24559,
1435,
31534,
13,
16684,
62,
4906,
62,
20147,
11,
360,
24290,
62,
49,
15154,
3419,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
547,
262,
1440,
749,
6777,
2077,
31674,
5254,
1566,
513,
812,
2084,
30,
46506,
256,
16,
13,
16684,
62,
4906,
62,
20147,
16034,
357,
46506,
24559,
1435,
31534,
13,
16684,
62,
4906,
62,
20147,
11,
360,
24290,
62,
49,
15154,
3419,... |
What is the booking status code of the apartment with apartment number 'Suite 634'? | SELECT T1.booking_status_code FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_number = "Suite 634" | [
2061,
318,
262,
25452,
3722,
2438,
286,
262,
7962,
351,
7962,
1271,
705,
5606,
578,
718,
2682,
30960,
46506,
309,
16,
13,
2070,
278,
62,
13376,
62,
8189,
16034,
5949,
1823,
62,
10482,
654,
7054,
309,
16,
32357,
1268,
22596,
902,
7054,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
2061,
318,
262,
25452,
3722,
2438,
286,
262,
7962,
351,
7962,
1271,
705,
5606,
578,
718,
2682,
30960,
46506,
309,
16,
13,
2070,
278,
62,
13376,
62,
8189,
16034,
5949,
1823,
62,
10482,
654,
7054,
309,
16,
32357,
1268,
22596,
902,
7054,... |
What is the time/retired for the driver with 16 grids? | SELECT "Time/Retired" FROM table_56288 WHERE "Grid" = '16' | [
2061,
318,
262,
640,
14,
1186,
1202,
329,
262,
4639,
351,
1467,
50000,
30,
46506,
366,
7575,
14,
9781,
1202,
1,
16034,
3084,
62,
3980,
25270,
33411,
366,
41339,
1,
796,
705,
1433,
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
] | [
2061,
318,
262,
640,
14,
1186,
1202,
329,
262,
4639,
351,
1467,
50000,
30,
46506,
366,
7575,
14,
9781,
1202,
1,
16034,
3084,
62,
3980,
25270,
33411,
366,
41339,
1,
796,
705,
1433,
6
] |
What was the record for the date above 27 and an opponent of the St. Louis Blues? | SELECT record FROM table_name_33 WHERE date > 27 AND opponent = "st. louis blues" | [
2061,
373,
262,
1700,
329,
262,
3128,
2029,
2681,
290,
281,
6125,
286,
262,
520,
13,
5593,
15261,
30,
46506,
1700,
16034,
3084,
62,
3672,
62,
2091,
33411,
3128,
1875,
2681,
5357,
6125,
796,
366,
301,
13,
21081,
271,
25570,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1700,
329,
262,
3128,
2029,
2681,
290,
281,
6125,
286,
262,
520,
13,
5593,
15261,
30,
46506,
1700,
16034,
3084,
62,
3672,
62,
2091,
33411,
3128,
1875,
2681,
5357,
6125,
796,
366,
301,
13,
21081,
271,
25570,
1
] |
show me the cheapest one way fare from BALTIMORE to DALLAS | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.ci... | [
12860,
502,
262,
28918,
530,
835,
14505,
422,
347,
31429,
3955,
6965,
284,
360,
7036,
1921,
46506,
360,
8808,
1268,
4177,
14505,
13,
9496,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
12860,
502,
262,
28918,
530,
835,
14505,
422,
347,
31429,
3955,
6965,
284,
360,
7036,
1921,
46506,
360,
8808,
1268,
4177,
14505,
13,
9496,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15... |
What kind of No Result has a % Win of 100.00% and a Played larger than 4 in 2012? | SELECT MIN("No Result") FROM table_37364 WHERE "% Win" = '100.00%' AND "Played" > '4' AND "Year" = '2012' | [
2061,
1611,
286,
1400,
25414,
468,
257,
4064,
7178,
286,
1802,
13,
405,
4,
290,
257,
33101,
4025,
621,
604,
287,
2321,
30,
46506,
20625,
7203,
2949,
25414,
4943,
16034,
3084,
62,
2718,
26780,
33411,
36521,
7178,
1,
796,
705,
3064,
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
] | [
2061,
1611,
286,
1400,
25414,
468,
257,
4064,
7178,
286,
1802,
13,
405,
4,
290,
257,
33101,
4025,
621,
604,
287,
2321,
30,
46506,
20625,
7203,
2949,
25414,
4943,
16034,
3084,
62,
2718,
26780,
33411,
36521,
7178,
1,
796,
705,
3064,
13,... |
What is the value for the League Cup when the FA Cup value is 0 13 0 (49)? | SELECT league AS Cup FROM table_name_20 WHERE fa_cup = "0 13 0 (49)" | [
2061,
318,
262,
1988,
329,
262,
4041,
5454,
618,
262,
9677,
5454,
1988,
318,
657,
1511,
657,
357,
2920,
19427,
46506,
4652,
7054,
5454,
16034,
3084,
62,
3672,
62,
1238,
33411,
24685,
62,
25244,
796,
366,
15,
1511,
657,
357,
2920,
1672... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1988,
329,
262,
4041,
5454,
618,
262,
9677,
5454,
1988,
318,
657,
1511,
657,
357,
2920,
19427,
46506,
4652,
7054,
5454,
16034,
3084,
62,
3672,
62,
1238,
33411,
24685,
62,
25244,
796,
366,
15,
1511,
657,
357,
2920,
1672... |
Which tennis team is from the United States? | SELECT team FROM table_name_55 WHERE sport = "tennis" AND nation_of_citizenship = "united states" | [
13828,
20790,
1074,
318,
422,
262,
1578,
1829,
30,
46506,
1074,
16034,
3084,
62,
3672,
62,
2816,
33411,
6332,
796,
366,
1452,
21361,
1,
5357,
3277,
62,
1659,
62,
46801,
1056,
796,
366,
41187,
2585,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20790,
1074,
318,
422,
262,
1578,
1829,
30,
46506,
1074,
16034,
3084,
62,
3672,
62,
2816,
33411,
6332,
796,
366,
1452,
21361,
1,
5357,
3277,
62,
1659,
62,
46801,
1056,
796,
366,
41187,
2585,
1
] |
Who plays at Victoria Park? | SELECT away_team FROM table_name_14 WHERE venue = "victoria park" | [
8241,
5341,
379,
12313,
3250,
30,
46506,
1497,
62,
15097,
16034,
3084,
62,
3672,
62,
1415,
33411,
14359,
796,
366,
32433,
7661,
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
] | [
8241,
5341,
379,
12313,
3250,
30,
46506,
1497,
62,
15097,
16034,
3084,
62,
3672,
62,
1415,
33411,
14359,
796,
366,
32433,
7661,
3952,
1
] |
For those records from the products and each product's manufacturer, return a bar chart about the distribution of headquarter and the sum of price , and group by attribute headquarter, and order from low to high by the y-axis. | SELECT Headquarter, SUM(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Price) | [
1890,
883,
4406,
422,
262,
3186,
290,
1123,
1720,
338,
11554,
11,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1182,
24385,
290,
262,
2160,
286,
2756,
837,
290,
1448,
416,
11688,
1182,
24385,
11,
290,
1502,
422,
1877,
284,
1029,
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,
1441,
257,
2318,
8262,
546,
262,
6082,
286,
1182,
24385,
290,
262,
2160,
286,
2756,
837,
290,
1448,
416,
11688,
1182,
24385,
11,
290,
1502,
422,
1877,
284,
1029,
416,
... |
Find the maximum capacity among rooms in each building with a bar chart, rank by the X-axis from high to low. | SELECT building, MAX(capacity) FROM classroom GROUP BY building ORDER BY building DESC | [
16742,
262,
5415,
5339,
1871,
9519,
287,
1123,
2615,
351,
257,
2318,
8262,
11,
4279,
416,
262,
1395,
12,
22704,
422,
1029,
284,
1877,
13,
46506,
2615,
11,
25882,
7,
42404,
8,
16034,
15806,
44441,
11050,
2615,
38678,
11050,
2615,
22196,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
5415,
5339,
1871,
9519,
287,
1123,
2615,
351,
257,
2318,
8262,
11,
4279,
416,
262,
1395,
12,
22704,
422,
1029,
284,
1877,
13,
46506,
2615,
11,
25882,
7,
42404,
8,
16034,
15806,
44441,
11050,
2615,
38678,
11050,
2615,
22196,
... |
have a history of relevant severe drug allergy or hypersensitivity | SELECT * FROM table_train_140 WHERE allergy_to_drug = 1 | [
14150,
257,
2106,
286,
5981,
6049,
2563,
36197,
393,
45086,
40545,
46506,
1635,
16034,
3084,
62,
27432,
62,
15187,
33411,
36197,
62,
1462,
62,
30349,
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
] | [
14150,
257,
2106,
286,
5981,
6049,
2563,
36197,
393,
45086,
40545,
46506,
1635,
16034,
3084,
62,
27432,
62,
15187,
33411,
36197,
62,
1462,
62,
30349,
796,
352
] |
what is the number of patients whose primary disease is complete heart block and age is less than 51? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "COMPLETE HEART BLOCK" AND demographic.age < "51" | [
10919,
318,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
1844,
2612,
2512,
290,
2479,
318,
1342,
621,
6885,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5958,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
262,
1271,
286,
3871,
3025,
4165,
4369,
318,
1844,
2612,
2512,
290,
2479,
318,
1342,
621,
6885,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5958,
796... |
Show the average salary by each hire date of employees, and please bin the hire date into the day of week interval for showing a bar chart. | SELECT HIRE_DATE, AVG(SALARY) FROM employees | [
15307,
262,
2811,
9588,
416,
1123,
11078,
3128,
286,
4409,
11,
290,
3387,
9874,
262,
11078,
3128,
656,
262,
1110,
286,
1285,
16654,
329,
4478,
257,
2318,
8262,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35224,
7,
50,
1847,
13153,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15307,
262,
2811,
9588,
416,
1123,
11078,
3128,
286,
4409,
11,
290,
3387,
9874,
262,
11078,
3128,
656,
262,
1110,
286,
1285,
16654,
329,
4478,
257,
2318,
8262,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35224,
7,
50,
1847,
13153,
8,
... |
What is the height if de is the position? | SELECT COUNT("Height") FROM table_23982 WHERE "Position" = 'DE' | [
2061,
318,
262,
6001,
611,
390,
318,
262,
2292,
30,
46506,
327,
28270,
7203,
23106,
4943,
16034,
3084,
62,
1954,
4089,
17,
33411,
366,
26545,
1,
796,
705,
7206,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
6001,
611,
390,
318,
262,
2292,
30,
46506,
327,
28270,
7203,
23106,
4943,
16034,
3084,
62,
1954,
4089,
17,
33411,
366,
26545,
1,
796,
705,
7206,
6
] |
What is shown on Friday when Tuesday is Jay Mohr Sports? | SELECT "Friday" FROM table_63879 WHERE "Tuesday" = 'jay mohr sports' | [
2061,
318,
3402,
319,
3217,
618,
3431,
318,
9180,
9719,
81,
7092,
30,
46506,
366,
20610,
1,
16034,
3084,
62,
21,
2548,
3720,
33411,
366,
26133,
1,
796,
705,
33708,
285,
1219,
81,
5701,
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,
3402,
319,
3217,
618,
3431,
318,
9180,
9719,
81,
7092,
30,
46506,
366,
20610,
1,
16034,
3084,
62,
21,
2548,
3720,
33411,
366,
26133,
1,
796,
705,
33708,
285,
1219,
81,
5701,
6
] |
Name the average Top 5 which has a Position of 52nd with a Year smaller than 2000? | SELECT AVG("Top 5") FROM table_45367 WHERE "Position" = '52nd' AND "Year" < '2000' | [
5376,
262,
2811,
5849,
642,
543,
468,
257,
23158,
286,
6740,
358,
351,
257,
6280,
4833,
621,
4751,
30,
46506,
35224,
7203,
9126,
642,
4943,
16034,
3084,
62,
2231,
27824,
33411,
366,
26545,
1,
796,
705,
4309,
358,
6,
5357,
366,
17688,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5849,
642,
543,
468,
257,
23158,
286,
6740,
358,
351,
257,
6280,
4833,
621,
4751,
30,
46506,
35224,
7203,
9126,
642,
4943,
16034,
3084,
62,
2231,
27824,
33411,
366,
26545,
1,
796,
705,
4309,
358,
6,
5357,
366,
17688,
... |
Which Pocona Municipality (%) is the lowest one that has a Puerto Villarroel Municipality (%) smaller than 14.6, and a Chimor Municipality (%) of 5.1, and an Entre R os Municipality (%) smaller than 0.9? | SELECT MIN("Pocona Municipality (%)") FROM table_39524 WHERE "Puerto Villarroel Municipality (%)" < '14.6' AND "Chimor\u00e9 Municipality (%)" = '5.1' AND "Entre R\u00edos Municipality (%)" < '0.9' | [
13828,
39375,
4450,
27338,
1483,
11509,
318,
262,
9016,
530,
326,
468,
257,
15295,
9757,
34852,
417,
27338,
1483,
11509,
4833,
621,
1478,
13,
21,
11,
290,
257,
28466,
273,
27338,
1483,
11509,
286,
642,
13,
16,
11,
290,
281,
7232,
260,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
39375,
4450,
27338,
1483,
11509,
318,
262,
9016,
530,
326,
468,
257,
15295,
9757,
34852,
417,
27338,
1483,
11509,
4833,
621,
1478,
13,
21,
11,
290,
257,
28466,
273,
27338,
1483,
11509,
286,
642,
13,
16,
11,
290,
281,
7232,
260,... |
What is Ring Name, when Stable is Kasugano, and when Birthplace is Z Mtskheta , Georgia? | SELECT ring_name FROM table_name_49 WHERE stable = "kasugano" AND birthplace = "z mtskheta , georgia" | [
2061,
318,
12569,
6530,
11,
618,
520,
540,
318,
15035,
1018,
5733,
11,
290,
618,
17647,
5372,
318,
1168,
337,
912,
74,
3202,
64,
837,
7859,
30,
46506,
5858,
62,
3672,
16034,
3084,
62,
3672,
62,
2920,
33411,
8245,
796,
366,
42749,
10... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12569,
6530,
11,
618,
520,
540,
318,
15035,
1018,
5733,
11,
290,
618,
17647,
5372,
318,
1168,
337,
912,
74,
3202,
64,
837,
7859,
30,
46506,
5858,
62,
3672,
16034,
3084,
62,
3672,
62,
2920,
33411,
8245,
796,
366,
42749,
10... |
Number of close votes status. | SELECT COUNT(*) FROM Votes WHERE VoteTypeId = 6 | [
15057,
286,
1969,
5690,
3722,
13,
46506,
327,
28270,
7,
28104,
16034,
39584,
33411,
19175,
6030,
7390,
796,
718
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
15057,
286,
1969,
5690,
3722,
13,
46506,
327,
28270,
7,
28104,
16034,
39584,
33411,
19175,
6030,
7390,
796,
718
] |
What is the average attendance at a week 4 game? | SELECT AVG(attendance) FROM table_name_97 WHERE week = 4 | [
2061,
318,
262,
2811,
14858,
379,
257,
1285,
604,
983,
30,
46506,
35224,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
5607,
33411,
1285,
796,
604
] | [
1,
1,
1,
1,
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,
14858,
379,
257,
1285,
604,
983,
30,
46506,
35224,
7,
1078,
437,
590,
8,
16034,
3084,
62,
3672,
62,
5607,
33411,
1285,
796,
604
] |
What is the average bronze with a rank of 4 and less than 1 silver? | SELECT AVG(bronze) FROM table_name_73 WHERE rank = 4 AND silver < 1 | [
2061,
318,
262,
2811,
22101,
351,
257,
4279,
286,
604,
290,
1342,
621,
352,
8465,
30,
46506,
35224,
7,
65,
1313,
2736,
8,
16034,
3084,
62,
3672,
62,
4790,
33411,
4279,
796,
604,
5357,
8465,
1279,
352
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2811,
22101,
351,
257,
4279,
286,
604,
290,
1342,
621,
352,
8465,
30,
46506,
35224,
7,
65,
1313,
2736,
8,
16034,
3084,
62,
3672,
62,
4790,
33411,
4279,
796,
604,
5357,
8465,
1279,
352
] |
What is the phonemic when the phonetic is [p a ]? | SELECT phonemic FROM table_name_42 WHERE phonetic = "[pʰaː˥˥]" | [
2061,
318,
262,
32896,
5314,
618,
262,
32896,
5139,
318,
685,
79,
257,
2361,
30,
46506,
32896,
5314,
16034,
3084,
62,
3672,
62,
3682,
33411,
32896,
5139,
796,
12878,
79,
134,
108,
64,
135,
238,
135,
98,
135,
98,
30866
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
32896,
5314,
618,
262,
32896,
5139,
318,
685,
79,
257,
2361,
30,
46506,
32896,
5314,
16034,
3084,
62,
3672,
62,
3682,
33411,
32896,
5139,
796,
12878,
79,
134,
108,
64,
135,
238,
135,
98,
135,
98,
30866
] |
Show the party and the number of drivers in each party. Plot them as bar chart. | SELECT Party, COUNT(*) FROM driver GROUP BY Party | [
15307,
262,
2151,
290,
262,
1271,
286,
6643,
287,
1123,
2151,
13,
28114,
606,
355,
2318,
8262,
13,
46506,
3615,
11,
327,
28270,
7,
28104,
16034,
4639,
44441,
11050,
3615
] | [
1,
1,
1,
1,
1,
1,
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,
2151,
290,
262,
1271,
286,
6643,
287,
1123,
2151,
13,
28114,
606,
355,
2318,
8262,
13,
46506,
3615,
11,
327,
28270,
7,
28104,
16034,
4639,
44441,
11050,
3615
] |
WHAT IS THE TOTAL NUMBER OF SEATS IN Hamburgische B rgerschaft WITH AN ABBR OF b ndnis 90 / die gr nen (gal)? | SELECT COUNT(seats_in_hamburgische_bürgerschaft) FROM table_name_18 WHERE abbr = "bündnis 90 / die grünen (gal)" | [
32971,
3180,
3336,
36247,
36871,
13246,
3963,
7946,
33586,
3268,
32526,
46097,
347,
374,
5355,
11693,
701,
13315,
3537,
9564,
11473,
3963,
275,
299,
67,
21361,
4101,
1220,
4656,
1036,
299,
268,
357,
13528,
19427,
46506,
327,
28270,
7,
325... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
32971,
3180,
3336,
36247,
36871,
13246,
3963,
7946,
33586,
3268,
32526,
46097,
347,
374,
5355,
11693,
701,
13315,
3537,
9564,
11473,
3963,
275,
299,
67,
21361,
4101,
1220,
4656,
1036,
299,
268,
357,
13528,
19427,
46506,
327,
28270,
7,
325... |
How many players came from Los Angeles? | SELECT COUNT(name) FROM table_24055352_1 WHERE hometown = "Los Angeles" | [
2437,
867,
1938,
1625,
422,
5401,
5652,
30,
46506,
327,
28270,
7,
3672,
8,
16034,
3084,
62,
1731,
47838,
33394,
62,
16,
33411,
20994,
796,
366,
28903,
5652,
1
] | [
1,
1,
1,
1,
1,
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,
1938,
1625,
422,
5401,
5652,
30,
46506,
327,
28270,
7,
3672,
8,
16034,
3084,
62,
1731,
47838,
33394,
62,
16,
33411,
20994,
796,
366,
28903,
5652,
1
] |
When the status is rural community what's the lowest area in kilometers squared? | SELECT MIN(area_km_2) FROM table_name_47 WHERE status = "rural community" | [
2215,
262,
3722,
318,
10016,
2055,
644,
338,
262,
9016,
1989,
287,
18212,
44345,
30,
46506,
20625,
7,
20337,
62,
13276,
62,
17,
8,
16034,
3084,
62,
3672,
62,
2857,
33411,
3722,
796,
366,
81,
1523,
2055,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3722,
318,
10016,
2055,
644,
338,
262,
9016,
1989,
287,
18212,
44345,
30,
46506,
20625,
7,
20337,
62,
13276,
62,
17,
8,
16034,
3084,
62,
3672,
62,
2857,
33411,
3722,
796,
366,
81,
1523,
2055,
1
] |
What is the smoke point when the polyunsaturated fat is 69g (4g in high oleic variety)? | SELECT smoke_point FROM table_name_24 WHERE polyunsaturated_fat = "69g (4g in high oleic variety)" | [
2061,
318,
262,
7523,
966,
618,
262,
7514,
13271,
30192,
3735,
318,
8644,
70,
357,
19,
70,
287,
1029,
267,
293,
291,
4996,
19427,
46506,
7523,
62,
4122,
16034,
3084,
62,
3672,
62,
1731,
33411,
7514,
13271,
30192,
62,
17359,
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
] | [
2061,
318,
262,
7523,
966,
618,
262,
7514,
13271,
30192,
3735,
318,
8644,
70,
357,
19,
70,
287,
1029,
267,
293,
291,
4996,
19427,
46506,
7523,
62,
4122,
16034,
3084,
62,
3672,
62,
1731,
33411,
7514,
13271,
30192,
62,
17359,
796,
366,
... |
Who had the high rebounds at the delta center? | SELECT "High rebounds" FROM table_18979 WHERE "Location Attendance" = 'Delta Center' | [
8241,
550,
262,
1029,
18841,
379,
262,
25979,
3641,
30,
46506,
366,
11922,
18841,
1,
16034,
3084,
62,
23362,
3720,
33411,
366,
14749,
46502,
590,
1,
796,
705,
42430,
3337,
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
] | [
8241,
550,
262,
1029,
18841,
379,
262,
25979,
3641,
30,
46506,
366,
11922,
18841,
1,
16034,
3084,
62,
23362,
3720,
33411,
366,
14749,
46502,
590,
1,
796,
705,
42430,
3337,
6
] |
Who was the incumbent from the Ohio 13 district? | SELECT incumbent FROM table_name_50 WHERE district = "ohio 13" | [
8241,
373,
262,
23526,
422,
262,
6835,
1511,
4783,
30,
46506,
23526,
16034,
3084,
62,
3672,
62,
1120,
33411,
4783,
796,
366,
1219,
952,
1511,
1
] | [
1,
1,
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,
23526,
422,
262,
6835,
1511,
4783,
30,
46506,
23526,
16034,
3084,
62,
3672,
62,
1120,
33411,
4783,
796,
366,
1219,
952,
1511,
1
] |
what is the number of patients whose age is less than 68 and lab test fluid is joint fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Joint Fluid" | [
10919,
318,
262,
1271,
286,
3871,
3025,
2479,
318,
1342,
621,
8257,
290,
2248,
1332,
11711,
318,
6466,
11711,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2479,
318,
1342,
621,
8257,
290,
2248,
1332,
11711,
318,
6466,
11711,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
2248,
... |
What was the result when incumbent John R. Tyson was elected? | SELECT result FROM table_1342426_3 WHERE incumbent = "John R. Tyson" | [
2061,
373,
262,
1255,
618,
23526,
1757,
371,
13,
27320,
373,
7018,
30,
46506,
1255,
16034,
3084,
62,
19880,
1731,
2075,
62,
18,
33411,
23526,
796,
366,
7554,
371,
13,
27320,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
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,
618,
23526,
1757,
371,
13,
27320,
373,
7018,
30,
46506,
1255,
16034,
3084,
62,
19880,
1731,
2075,
62,
18,
33411,
23526,
796,
366,
7554,
371,
13,
27320,
1
] |
Which Years in Senate has a Years in Assembly of 2010 present, and toni atkins? | SELECT "Years in Senate" FROM table_59660 WHERE "Years in Assembly" = '2010–present' AND "Name" = 'toni atkins' | [
13828,
13212,
287,
3845,
468,
257,
13212,
287,
10006,
286,
3050,
1944,
11,
290,
5680,
72,
379,
5331,
30,
46506,
366,
40630,
287,
3845,
1,
16034,
3084,
62,
3270,
39885,
33411,
366,
40630,
287,
10006,
1,
796,
705,
10333,
1906,
25579,
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
] | [
13828,
13212,
287,
3845,
468,
257,
13212,
287,
10006,
286,
3050,
1944,
11,
290,
5680,
72,
379,
5331,
30,
46506,
366,
40630,
287,
3845,
1,
16034,
3084,
62,
3270,
39885,
33411,
366,
40630,
287,
10006,
1,
796,
705,
10333,
1906,
25579,
6,... |
Find the id and location of circuits that belong to France or Belgium Plot them as bar chart, show X from high to low order please. | SELECT location, circuitId FROM circuits WHERE country = "France" OR country = "Belgium" ORDER BY location DESC | [
16742,
262,
4686,
290,
4067,
286,
24907,
326,
5594,
284,
4881,
393,
15664,
28114,
606,
355,
2318,
8262,
11,
905,
1395,
422,
1029,
284,
1877,
1502,
3387,
13,
46506,
4067,
11,
10349,
7390,
16034,
24907,
33411,
1499,
796,
366,
28572,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
16742,
262,
4686,
290,
4067,
286,
24907,
326,
5594,
284,
4881,
393,
15664,
28114,
606,
355,
2318,
8262,
11,
905,
1395,
422,
1029,
284,
1877,
1502,
3387,
13,
46506,
4067,
11,
10349,
7390,
16034,
24907,
33411,
1499,
796,
366,
28572,
1,
... |
What year was a movie with the original title La Leggenda del Santo Bevitore submitted? | SELECT "Year (Ceremony)" FROM table_16052 WHERE "Original title" = 'La leggenda del santo bevitore' | [
2061,
614,
373,
257,
3807,
351,
262,
2656,
3670,
4689,
1004,
1130,
7438,
1619,
10844,
78,
1355,
85,
270,
382,
8948,
30,
46506,
366,
17688,
357,
34,
567,
9926,
16725,
16034,
3084,
62,
1433,
37841,
33411,
366,
20556,
3670,
1,
796,
705,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
614,
373,
257,
3807,
351,
262,
2656,
3670,
4689,
1004,
1130,
7438,
1619,
10844,
78,
1355,
85,
270,
382,
8948,
30,
46506,
366,
17688,
357,
34,
567,
9926,
16725,
16034,
3084,
62,
1433,
37841,
33411,
366,
20556,
3670,
1,
796,
705,
... |
What transfer window has bra as the country, with 3.4m as the transfer fee? | SELECT transfer_window FROM table_name_79 WHERE country = "bra" AND transfer_fee = "£3.4m" | [
2061,
4351,
4324,
468,
8290,
355,
262,
1499,
11,
351,
513,
13,
19,
76,
355,
262,
4351,
6838,
30,
46506,
4351,
62,
17497,
16034,
3084,
62,
3672,
62,
3720,
33411,
1499,
796,
366,
16057,
1,
5357,
4351,
62,
39071,
796,
366,
14988,
18,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
4351,
4324,
468,
8290,
355,
262,
1499,
11,
351,
513,
13,
19,
76,
355,
262,
4351,
6838,
30,
46506,
4351,
62,
17497,
16034,
3084,
62,
3672,
62,
3720,
33411,
1499,
796,
366,
16057,
1,
5357,
4351,
62,
39071,
796,
366,
14988,
18,
... |
what was patient 20066 diagnosed with until 2104 for the last time? | 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 = 20066) AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104' ORDER BY diag... | [
10919,
373,
5827,
939,
2791,
14641,
351,
1566,
362,
13464,
329,
262,
938,
640,
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,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
939,
2791,
14641,
351,
1566,
362,
13464,
329,
262,
938,
640,
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,
... |
What's the year inducted for the label of label? | SELECT "Year inducted" FROM table_59656 WHERE "Label" = 'label' | [
2061,
338,
262,
614,
28948,
276,
329,
262,
6167,
286,
6167,
30,
46506,
366,
17688,
28948,
276,
1,
16034,
3084,
62,
3270,
37466,
33411,
366,
33986,
1,
796,
705,
18242,
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,
338,
262,
614,
28948,
276,
329,
262,
6167,
286,
6167,
30,
46506,
366,
17688,
28948,
276,
1,
16034,
3084,
62,
3270,
37466,
33411,
366,
33986,
1,
796,
705,
18242,
6
] |
does lr have been prescribed to patient 88254 in this year? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 88254) AND prescriptions.drug = 'lr' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | [
22437,
300,
81,
423,
587,
14798,
284,
5827,
9193,
24970,
287,
428,
614,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
34092,
33411,
34092,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
334... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
22437,
300,
81,
423,
587,
14798,
284,
5827,
9193,
24970,
287,
428,
614,
30,
46506,
327,
28270,
7,
28104,
1875,
657,
16034,
34092,
33411,
34092,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
334... |
what is drug name of subject id 6983? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.subject_id = "6983" | [
10919,
318,
2563,
1438,
286,
2426,
4686,
39861,
18,
30,
46506,
34092,
13,
30349,
16034,
34092,
33411,
34092,
13,
32796,
62,
312,
796,
366,
3388,
5999,
1
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
10919,
318,
2563,
1438,
286,
2426,
4686,
39861,
18,
30,
46506,
34092,
13,
30349,
16034,
34092,
33411,
34092,
13,
32796,
62,
312,
796,
366,
3388,
5999,
1
] |
provide the number of patients whose gender is m and diagnoses long title is poisoning by other opiates and related narcotics? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Poisoning by other opiates and related narcotics" | [
15234,
485,
262,
1271,
286,
3871,
3025,
5279,
318,
285,
290,
40567,
890,
3670,
318,
22475,
416,
584,
1034,
32820,
290,
3519,
36524,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
2147... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5279,
318,
285,
290,
40567,
890,
3670,
318,
22475,
416,
584,
1034,
32820,
290,
3519,
36524,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
2147... |
For each party, use a bar chart to show the number of its delegates, list Y in asc order. | SELECT T2.Party, COUNT(T2.Party) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY COUNT(T2.Party) | [
1890,
1123,
2151,
11,
779,
257,
2318,
8262,
284,
905,
262,
1271,
286,
663,
15265,
11,
1351,
575,
287,
10570,
1502,
13,
46506,
309,
17,
13,
33553,
11,
327,
28270,
7,
51,
17,
13,
33553,
8,
16034,
3071,
7054,
309,
16,
32357,
1268,
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... | [
1890,
1123,
2151,
11,
779,
257,
2318,
8262,
284,
905,
262,
1271,
286,
663,
15265,
11,
1351,
575,
287,
10570,
1502,
13,
46506,
309,
17,
13,
33553,
11,
327,
28270,
7,
51,
17,
13,
33553,
8,
16034,
3071,
7054,
309,
16,
32357,
1268,
21... |
Unique occurrences of Dallas, Texas. | SELECT Location, COUNT(*) FROM Users WHERE UPPER(Location) LIKE '%DALLAS%' OR UPPER(Location) LIKE '%DFW%' GROUP BY Location ORDER BY COUNT(*) DESC | [
40257,
40279,
286,
8533,
11,
3936,
13,
46506,
13397,
11,
327,
28270,
7,
28104,
16034,
18987,
33411,
471,
10246,
1137,
7,
14749,
8,
34178,
705,
4,
35,
7036,
1921,
4,
6,
6375,
471,
10246,
1137,
7,
14749,
8,
34178,
705,
4,
8068,
54,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
40257,
40279,
286,
8533,
11,
3936,
13,
46506,
13397,
11,
327,
28270,
7,
28104,
16034,
18987,
33411,
471,
10246,
1137,
7,
14749,
8,
34178,
705,
4,
35,
7036,
1921,
4,
6,
6375,
471,
10246,
1137,
7,
14749,
8,
34178,
705,
4,
8068,
54,
... |
how much is patient 62983's total stool out ileostomy output on the first icu visit? | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 62983) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND outputevents.itemid... | [
4919,
881,
318,
5827,
718,
1959,
5999,
338,
2472,
38753,
503,
220,
576,
455,
9145,
5072,
319,
262,
717,
14158,
84,
3187,
30,
46506,
35683,
7,
448,
79,
1133,
85,
658,
13,
8367,
8,
16034,
38701,
1133,
85,
658,
33411,
38701,
1133,
85,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
881,
318,
5827,
718,
1959,
5999,
338,
2472,
38753,
503,
220,
576,
455,
9145,
5072,
319,
262,
717,
14158,
84,
3187,
30,
46506,
35683,
7,
448,
79,
1133,
85,
658,
13,
8367,
8,
16034,
38701,
1133,
85,
658,
33411,
38701,
1133,
85,
... |
Name the record for december 8 | SELECT record FROM table_23248940_7 WHERE date = "December 8" | [
5376,
262,
1700,
329,
390,
3273,
807,
46506,
1700,
16034,
3084,
62,
1954,
1731,
4531,
1821,
62,
22,
33411,
3128,
796,
366,
20588,
807,
1
] | [
1,
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,
1700,
329,
390,
3273,
807,
46506,
1700,
16034,
3084,
62,
1954,
1731,
4531,
1821,
62,
22,
33411,
3128,
796,
366,
20588,
807,
1
] |
Find Days and the average of Instructor , and group by attribute Days, and visualize them by a bar chart. | SELECT Days, AVG(Instructor) FROM Course GROUP BY Days ORDER BY Credits | [
16742,
12579,
290,
262,
2811,
286,
47839,
837,
290,
1448,
416,
11688,
12579,
11,
290,
38350,
606,
416,
257,
2318,
8262,
13,
46506,
12579,
11,
35224,
7,
43993,
273,
8,
16034,
20537,
44441,
11050,
12579,
38678,
11050,
29501
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12579,
290,
262,
2811,
286,
47839,
837,
290,
1448,
416,
11688,
12579,
11,
290,
38350,
606,
416,
257,
2318,
8262,
13,
46506,
12579,
11,
35224,
7,
43993,
273,
8,
16034,
20537,
44441,
11050,
12579,
38678,
11050,
29501
] |
how many patients whose ethnicity is white - russian and drug name is heparin (crrt machine priming)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND prescriptions.drug = "Heparin (CRRT Machine Priming)" | [
4919,
867,
3871,
3025,
26289,
318,
2330,
532,
374,
31562,
290,
2563,
1438,
318,
339,
1845,
259,
357,
6098,
17034,
4572,
2684,
278,
19427,
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... | [
4919,
867,
3871,
3025,
26289,
318,
2330,
532,
374,
31562,
290,
2563,
1438,
318,
339,
1845,
259,
357,
6098,
17034,
4572,
2684,
278,
19427,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21... |
How many counties are there? | SELECT COUNT(*) FROM county_public_safety | [
2437,
867,
14683,
389,
612,
30,
46506,
327,
28270,
7,
28104,
16034,
7968,
62,
11377,
62,
44708
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2437,
867,
14683,
389,
612,
30,
46506,
327,
28270,
7,
28104,
16034,
7968,
62,
11377,
62,
44708
] |
select count(*) from posts. | SELECT COUNT(*) FROM Users | [
19738,
954,
7,
28104,
422,
6851,
13,
46506,
327,
28270,
7,
28104,
16034,
18987
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
19738,
954,
7,
28104,
422,
6851,
13,
46506,
327,
28270,
7,
28104,
16034,
18987
] |
what are the four most commonly ordered procedures in patients aged 60 or above in the previous year? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >... | [
10919,
389,
262,
1440,
749,
8811,
6149,
9021,
287,
3871,
9722,
3126,
393,
2029,
287,
262,
2180,
614,
30,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1440,
749,
8811,
6149,
9021,
287,
3871,
9722,
3126,
393,
2029,
287,
262,
2180,
614,
30,
46506,
288,
62,
291,
67,
62,
1676,
771,
942,
13,
19509,
62,
7839,
16034,
288,
62,
291,
67,
62,
1676,
771,
942,
33411,
288,
62... |
What is the number of gold when the silver is 1, bronze is 1, and the nation is Austria? | SELECT COUNT(gold) FROM table_name_4 WHERE silver = 1 AND bronze = 1 AND nation = "austria" | [
2061,
318,
262,
1271,
286,
3869,
618,
262,
8465,
318,
352,
11,
22101,
318,
352,
11,
290,
262,
3277,
318,
17322,
30,
46506,
327,
28270,
7,
24267,
8,
16034,
3084,
62,
3672,
62,
19,
33411,
8465,
796,
352,
5357,
22101,
796,
352,
5357,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3869,
618,
262,
8465,
318,
352,
11,
22101,
318,
352,
11,
290,
262,
3277,
318,
17322,
30,
46506,
327,
28270,
7,
24267,
8,
16034,
3084,
62,
3672,
62,
19,
33411,
8465,
796,
352,
5357,
22101,
796,
352,
5357,
... |
Who was the rider who had less than 30 laps, ended in an accident with a car manufactured by yamaha on a grid larger than 3? | SELECT "Rider" FROM table_48676 WHERE "Laps" < '30' AND "Manufacturer" = 'yamaha' AND "Time" = 'accident' AND "Grid" > '3' | [
8241,
373,
262,
17876,
508,
550,
1342,
621,
1542,
24590,
11,
4444,
287,
281,
5778,
351,
257,
1097,
15943,
416,
331,
321,
12236,
319,
257,
10706,
4025,
621,
513,
30,
46506,
366,
49,
1304,
1,
16034,
3084,
62,
2780,
42548,
33411,
366,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
8241,
373,
262,
17876,
508,
550,
1342,
621,
1542,
24590,
11,
4444,
287,
281,
5778,
351,
257,
1097,
15943,
416,
331,
321,
12236,
319,
257,
10706,
4025,
621,
513,
30,
46506,
366,
49,
1304,
1,
16034,
3084,
62,
2780,
42548,
33411,
366,
... |
TRENDING TAGS: Answer Count & Average Score, grouped by Tag (Last 30 days). TRENDING TAGS: Answer Count & Average Score, grouped by Tag (Last 30 days) | SELECT t.TagName AS "tagname", COUNT(q.Id) AS "#questions", ROUND(CAST(SUM(q.Score) AS DECIMAL) / COUNT(q.Id), 1) AS "avgqscore" FROM Posts AS q JOIN PostTags AS pt ON q.Id = pt.PostId JOIN Tags AS t ON pt.TagId = t.Id WHERE q.PostTypeId = 1 AND q.CreationDate >= DATEADD(d, -30, GETDATE()) GROUP BY t.TagName ORDER BY C... | [
5446,
10619,
2751,
37801,
50,
25,
23998,
2764,
1222,
13475,
15178,
11,
32824,
416,
17467,
357,
5956,
1542,
1528,
737,
7579,
10619,
2751,
37801,
50,
25,
23998,
2764,
1222,
13475,
15178,
11,
32824,
416,
17467,
357,
5956,
1542,
1528,
8,
46... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
5446,
10619,
2751,
37801,
50,
25,
23998,
2764,
1222,
13475,
15178,
11,
32824,
416,
17467,
357,
5956,
1542,
1528,
737,
7579,
10619,
2751,
37801,
50,
25,
23998,
2764,
1222,
13475,
15178,
11,
32824,
416,
17467,
357,
5956,
1542,
1528,
8,
46... |
how many papers are based on ImageNet | SELECT DISTINCT COUNT(DISTINCT paper.paperid) FROM dataset, paper, paperdataset WHERE dataset.datasetname LIKE 'ImageNet' AND paperdataset.datasetid = dataset.datasetid AND paper.paperid = paperdataset.paperid | [
4919,
867,
9473,
389,
1912,
319,
7412,
7934,
46506,
360,
8808,
1268,
4177,
327,
28270,
7,
35,
8808,
1268,
4177,
3348,
13,
20189,
312,
8,
16034,
27039,
11,
3348,
11,
3348,
19608,
292,
316,
33411,
27039,
13,
19608,
292,
316,
3672,
34178... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9473,
389,
1912,
319,
7412,
7934,
46506,
360,
8808,
1268,
4177,
327,
28270,
7,
35,
8808,
1268,
4177,
3348,
13,
20189,
312,
8,
16034,
27039,
11,
3348,
11,
3348,
19608,
292,
316,
33411,
27039,
13,
19608,
292,
316,
3672,
34178... |
Which region had the CD maxi format? | SELECT region FROM table_name_91 WHERE format = "cd maxi" | [
13828,
3814,
550,
262,
6458,
3509,
72,
5794,
30,
46506,
3814,
16034,
3084,
62,
3672,
62,
6420,
33411,
5794,
796,
366,
10210,
3509,
72,
1
] | [
1,
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,
3814,
550,
262,
6458,
3509,
72,
5794,
30,
46506,
3814,
16034,
3084,
62,
3672,
62,
6420,
33411,
5794,
796,
366,
10210,
3509,
72,
1
] |
List the number of recovers for player #2. | SELECT "Rebounds" FROM table_28615 WHERE "#" = '2' | [
8053,
262,
1271,
286,
46773,
329,
2137,
1303,
17,
13,
46506,
366,
28951,
3733,
1,
16034,
3084,
62,
27033,
1314,
33411,
25113,
1,
796,
705,
17,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
8053,
262,
1271,
286,
46773,
329,
2137,
1303,
17,
13,
46506,
366,
28951,
3733,
1,
16034,
3084,
62,
27033,
1314,
33411,
25113,
1,
796,
705,
17,
6
] |
How many registed students do each course have? List course name and the number of their registered students, display X in descending order. | SELECT course_name, COUNT(*) FROM Students AS T1 JOIN Student_Course_Registrations AS T2 ON T1.student_id = T2.student_id JOIN Courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id ORDER BY course_name DESC | [
2437,
867,
4214,
276,
2444,
466,
1123,
1781,
423,
30,
7343,
1781,
1438,
290,
262,
1271,
286,
511,
6823,
2444,
11,
3359,
1395,
287,
31491,
1502,
13,
46506,
1781,
62,
3672,
11,
327,
28270,
7,
28104,
16034,
14882,
7054,
309,
16,
32357,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4214,
276,
2444,
466,
1123,
1781,
423,
30,
7343,
1781,
1438,
290,
262,
1271,
286,
511,
6823,
2444,
11,
3359,
1395,
287,
31491,
1502,
13,
46506,
1781,
62,
3672,
11,
327,
28270,
7,
28104,
16034,
14882,
7054,
309,
16,
32357,
... |
Name the opponent in the final for year of 1888 | SELECT "Opponent in the final" FROM table_11688 WHERE "Year" = '1888' | [
5376,
262,
6125,
287,
262,
2457,
329,
614,
286,
49584,
46506,
366,
27524,
3471,
287,
262,
2457,
1,
16034,
3084,
62,
1157,
34427,
33411,
366,
17688,
1,
796,
705,
1507,
3459,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
5376,
262,
6125,
287,
262,
2457,
329,
614,
286,
49584,
46506,
366,
27524,
3471,
287,
262,
2457,
1,
16034,
3084,
62,
1157,
34427,
33411,
366,
17688,
1,
796,
705,
1507,
3459,
6
] |
What is the sum of the poles of Team la fili re, which has less than 162 points? | SELECT SUM("Poles") FROM table_40231 WHERE "Team" = 'la filière' AND "Points" < '162' | [
2061,
318,
262,
2160,
286,
262,
24971,
286,
4816,
8591,
1226,
72,
302,
11,
543,
468,
1342,
621,
25090,
2173,
30,
46506,
35683,
7203,
47,
4316,
4943,
16034,
3084,
62,
1821,
25667,
33411,
366,
15592,
1,
796,
705,
5031,
1226,
72,
35979,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
2160,
286,
262,
24971,
286,
4816,
8591,
1226,
72,
302,
11,
543,
468,
1342,
621,
25090,
2173,
30,
46506,
35683,
7203,
47,
4316,
4943,
16034,
3084,
62,
1821,
25667,
33411,
366,
15592,
1,
796,
705,
5031,
1226,
72,
35979,
... |
What is Date, when Opponent is At Saskatchewan Roughriders? | SELECT "Date" FROM table_43900 WHERE "Opponent" = 'at saskatchewan roughriders' | [
2061,
318,
7536,
11,
618,
9385,
3471,
318,
1629,
31346,
29949,
81,
4157,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
47106,
405,
33411,
366,
27524,
3471,
1,
796,
705,
265,
264,
2093,
29736,
5210,
81,
4157,
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
] | [
2061,
318,
7536,
11,
618,
9385,
3471,
318,
1629,
31346,
29949,
81,
4157,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
47106,
405,
33411,
366,
27524,
3471,
1,
796,
705,
265,
264,
2093,
29736,
5210,
81,
4157,
6
] |
When did the 55 kg participant race? | SELECT "Date" FROM table_19759 WHERE "Weight (kg)" = '55' | [
2215,
750,
262,
5996,
14211,
18399,
3234,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1129,
38314,
33411,
366,
25844,
357,
10025,
16725,
796,
705,
2816,
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,
750,
262,
5996,
14211,
18399,
3234,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1129,
38314,
33411,
366,
25844,
357,
10025,
16725,
796,
705,
2816,
6
] |
what is maximum age of patients whose admission location is trsf within this facility and primary disease is liver transplant? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.diagnosis = "LIVER TRANSPLANT" | [
10919,
318,
5415,
2479,
286,
3871,
3025,
13938,
4067,
318,
491,
28202,
1626,
428,
6841,
290,
4165,
4369,
318,
14383,
23319,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
10919,
318,
5415,
2479,
286,
3871,
3025,
13938,
4067,
318,
491,
28202,
1626,
428,
6841,
290,
4165,
4369,
318,
14383,
23319,
30,
46506,
25882,
7,
9536,
6826,
13,
496,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
5... |
What is the 0 100km/h (62mph) when the max power is s diesel engine all direct injection (dci)? | SELECT 0 AS _100km_h__62mph_ FROM table_name_16 WHERE max_power = "s diesel engine all direct injection (dci)" | [
2061,
318,
262,
657,
1802,
13276,
14,
71,
357,
5237,
23335,
8,
618,
262,
3509,
1176,
318,
264,
21866,
3113,
477,
1277,
16954,
357,
67,
979,
19427,
46506,
657,
7054,
4808,
3064,
13276,
62,
71,
834,
5237,
23335,
62,
16034,
3084,
62,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
2061,
318,
262,
657,
1802,
13276,
14,
71,
357,
5237,
23335,
8,
618,
262,
3509,
1176,
318,
264,
21866,
3113,
477,
1277,
16954,
357,
67,
979,
19427,
46506,
657,
7054,
4808,
3064,
13276,
62,
71,
834,
5237,
23335,
62,
16034,
3084,
62,
3... |
What is the circuit for the ADAC gro er preis der tourenwagen race? | SELECT "Circuit" FROM table_62283 WHERE "Race" = 'adac großer preis der tourenwagen' | [
2061,
318,
262,
10349,
329,
262,
5984,
2246,
7128,
1931,
662,
271,
4587,
2819,
918,
29160,
3234,
30,
46506,
366,
31560,
5013,
1,
16034,
3084,
62,
21,
1828,
5999,
33411,
366,
35157,
1,
796,
705,
324,
330,
7128,
39683,
263,
662,
271,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
10349,
329,
262,
5984,
2246,
7128,
1931,
662,
271,
4587,
2819,
918,
29160,
3234,
30,
46506,
366,
31560,
5013,
1,
16034,
3084,
62,
21,
1828,
5999,
33411,
366,
35157,
1,
796,
705,
324,
330,
7128,
39683,
263,
662,
271,
... |
What is the name of the Representative Work in a year later than 2005 with a Result of nominated, and an Award of best variety show host? | SELECT "Representative Work" FROM table_74906 WHERE "Year" > '2005' AND "Result" = 'nominated' AND "Award" = 'best variety show host' | [
2061,
318,
262,
1438,
286,
262,
19920,
5521,
287,
257,
614,
1568,
621,
5075,
351,
257,
25414,
286,
19332,
11,
290,
281,
11289,
286,
1266,
4996,
905,
2583,
30,
46506,
366,
40171,
876,
5521,
1,
16034,
3084,
62,
22,
2920,
3312,
33411,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19920,
5521,
287,
257,
614,
1568,
621,
5075,
351,
257,
25414,
286,
19332,
11,
290,
281,
11289,
286,
1266,
4996,
905,
2583,
30,
46506,
366,
40171,
876,
5521,
1,
16034,
3084,
62,
22,
2920,
3312,
33411,
... |
Which Fencing Victories (pts) that has a Equestrian Time (pts) of 67.88 (1144)? | SELECT fencing_victories__pts_ FROM table_name_78 WHERE equestrian_time__pts_ = "67.88 (1144)" | [
13828,
376,
9532,
6114,
1749,
357,
457,
82,
8,
326,
468,
257,
412,
6138,
4484,
3862,
357,
457,
82,
8,
286,
8275,
13,
3459,
357,
1157,
2598,
19427,
46506,
39244,
62,
32433,
1749,
834,
457,
82,
62,
16034,
3084,
62,
3672,
62,
3695,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
13828,
376,
9532,
6114,
1749,
357,
457,
82,
8,
326,
468,
257,
412,
6138,
4484,
3862,
357,
457,
82,
8,
286,
8275,
13,
3459,
357,
1157,
2598,
19427,
46506,
39244,
62,
32433,
1749,
834,
457,
82,
62,
16034,
3084,
62,
3672,
62,
3695,
3... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.