instruction
stringlengths 0
1.06k
| response
stringlengths 2
3.61k
| input_ids
list | attention_mask
list | labels
list |
---|---|---|---|---|
what is the earliest flight from DENVER to SAN FRANCISCO on the morning of 8 27 | 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, date_day, days, flight WHERE (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND date_day.day_number = 27 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 1200) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE ((CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN FRANCISCO' AND DATE_DAYalias1.day_number = 27 AND DATE_DAYalias1.month_number = 8 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND FLIGHTalias1.departure_time BETWEEN 0 AND 1200) | [
10919,
318,
262,
14555,
5474,
422,
37692,
5959,
284,
37376,
8782,
20940,
1797,
8220,
319,
262,
3329,
286,
807,
2681,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
3128,
62,
820,
11,
1528,
11,
5474,
33411,
14808,
7,
34,
9050,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189,
5357,
27993,
62
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
262,
14555,
5474,
422,
37692,
5959,
284,
37376,
8782,
20940,
1797,
8220,
319,
262,
3329,
286,
807,
2681,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
3128,
62,
820,
11,
1528,
11,
5474,
33411,
14808,
7,
34,
9050,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189,
5357,
27993,
62
]
|
Eric Lippert's comments about precedence. | SELECT * FROM Comments INNER JOIN Posts ON Comments.PostId = Posts.Id WHERE UserId = 88656 AND Body LIKE '%precedence%' ORDER BY Comments.CreationDate DESC | [
25004,
406,
3974,
861,
338,
3651,
546,
38177,
13,
46506,
1635,
16034,
19502,
3268,
21479,
32357,
1268,
12043,
6177,
19502,
13,
6307,
7390,
796,
12043,
13,
7390,
33411,
11787,
7390,
796,
9193,
37466,
5357,
12290,
34178,
705,
4,
3866,
771,
594,
4,
6,
38678,
11050,
19502,
13,
12443,
341,
10430,
22196,
34
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
25004,
406,
3974,
861,
338,
3651,
546,
38177,
13,
46506,
1635,
16034,
19502,
3268,
21479,
32357,
1268,
12043,
6177,
19502,
13,
6307,
7390,
796,
12043,
13,
7390,
33411,
11787,
7390,
796,
9193,
37466,
5357,
12290,
34178,
705,
4,
3866,
771,
594,
4,
6,
38678,
11050,
19502,
13,
12443,
341,
10430,
22196,
34
]
|
the year forth and clyde was restored | SELECT "year restored" FROM table_203_594 WHERE "canal" = 'forth and clyde canal' | [
1169,
614,
6071,
290,
269,
306,
2934,
373,
15032,
46506,
366,
1941,
15032,
1,
16034,
3084,
62,
22416,
62,
46438,
33411,
366,
5171,
282,
1,
796,
705,
25718,
290,
269,
306,
2934,
29365,
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
]
| [
1169,
614,
6071,
290,
269,
306,
2934,
373,
15032,
46506,
366,
1941,
15032,
1,
16034,
3084,
62,
22416,
62,
46438,
33411,
366,
5171,
282,
1,
796,
705,
25718,
290,
269,
306,
2934,
29365,
6
]
|
How many users provide all accepted answers in the last year in the given tag. | SELECT COUNT(DISTINCT a.OwnerUserId) AS "distinct_users", COUNT(DISTINCT a.OwnerUserId) * 1.0 / COUNT(DISTINCT a.Id) AS "ratio", COUNT(a.Id) AS "accepted_answers", t.TagName, CURRENT_TIMESTAMP() - 366 AS "year_ago" FROM Posts AS q INNER JOIN Posts AS a ON q.AcceptedAnswerId = a.Id JOIN PostTags AS pt ON pt.PostId = q.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE q.PostTypeId = 1 AND a.PostTypeId = 2 AND a.CreationDate > CURRENT_TIMESTAMP() - 366 AND t.TagName = '##tagname?python##' GROUP BY t.TagName | [
2437,
867,
2985,
2148,
477,
6292,
7429,
287,
262,
938,
614,
287,
262,
1813,
7621,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
257,
13,
42419,
12982,
7390,
8,
7054,
366,
17080,
4612,
62,
18417,
1600,
327,
28270,
7,
35,
8808,
1268,
4177,
257,
13,
42419,
12982,
7390,
8,
1635,
352,
13,
15,
1220,
327,
28270,
7,
35,
8808,
1268,
4177,
257,
13,
7390,
8,
7054,
366,
10366,
952,
1600,
327,
28270,
7,
64,
13,
7390,
8,
7054,
366,
13635,
276,
62,
504,
86,
364,
1600,
256,
13,
24835,
5376,
11,
327,
39237,
62,
51,
3955,
6465,
23518,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2985,
2148,
477,
6292,
7429,
287,
262,
938,
614,
287,
262,
1813,
7621,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
257,
13,
42419,
12982,
7390,
8,
7054,
366,
17080,
4612,
62,
18417,
1600,
327,
28270,
7,
35,
8808,
1268,
4177,
257,
13,
42419,
12982,
7390,
8,
1635,
352,
13,
15,
1220,
327,
28270,
7,
35,
8808,
1268,
4177,
257,
13,
7390,
8,
7054,
366,
10366,
952,
1600,
327,
28270,
7,
64,
13,
7390,
8,
7054,
366,
13635,
276,
62,
504,
86,
364,
1600,
256,
13,
24835,
5376,
11,
327,
39237,
62,
51,
3955,
6465,
23518,
3419
]
|
Amount of posts per day. | SELECT CreationDate AS "date", COUNT(1) AS "questions" FROM Posts WHERE PostTypeId = 1 GROUP BY CreationDate ORDER BY CreationDate | [
31264,
286,
6851,
583,
1110,
13,
46506,
21582,
10430,
7054,
366,
4475,
1600,
327,
28270,
7,
16,
8,
7054,
366,
6138,
507,
1,
16034,
12043,
33411,
2947,
6030,
7390,
796,
352,
44441,
11050,
21582,
10430,
38678,
11050,
21582,
10430
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
31264,
286,
6851,
583,
1110,
13,
46506,
21582,
10430,
7054,
366,
4475,
1600,
327,
28270,
7,
16,
8,
7054,
366,
6138,
507,
1,
16034,
12043,
33411,
2947,
6030,
7390,
796,
352,
44441,
11050,
21582,
10430,
38678,
11050,
21582,
10430
]
|
How many transfer fees did Afonso Alves have after 2008? | SELECT COUNT("Transfer fee ( \u20ac million)") FROM table_15012 WHERE "Player" = 'afonso alves' AND "Year" > '2008' | [
2437,
867,
4351,
6642,
750,
2483,
26666,
978,
1158,
423,
706,
3648,
30,
46506,
327,
28270,
7203,
43260,
6838,
357,
3467,
84,
1238,
330,
1510,
8,
4943,
16034,
3084,
62,
1314,
30206,
33411,
366,
14140,
1,
796,
705,
1878,
26666,
435,
1158,
6,
5357,
366,
17688,
1,
1875,
705,
11528,
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
]
| [
2437,
867,
4351,
6642,
750,
2483,
26666,
978,
1158,
423,
706,
3648,
30,
46506,
327,
28270,
7203,
43260,
6838,
357,
3467,
84,
1238,
330,
1510,
8,
4943,
16034,
3084,
62,
1314,
30206,
33411,
366,
14140,
1,
796,
705,
1878,
26666,
435,
1158,
6,
5357,
366,
17688,
1,
1875,
705,
11528,
6
]
|
What is the population density in Buffalo Lake? | SELECT population_density__per_km_2__ FROM table_2500440_1 WHERE name = "Buffalo Lake" | [
2061,
318,
262,
3265,
12109,
287,
14905,
6233,
30,
46506,
3265,
62,
43337,
834,
525,
62,
13276,
62,
17,
834,
16034,
3084,
62,
1495,
22914,
1821,
62,
16,
33411,
1438,
796,
366,
36474,
7335,
6233,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3265,
12109,
287,
14905,
6233,
30,
46506,
3265,
62,
43337,
834,
525,
62,
13276,
62,
17,
834,
16034,
3084,
62,
1495,
22914,
1821,
62,
16,
33411,
1438,
796,
366,
36474,
7335,
6233,
1
]
|
give me the number of patients whose gender is m and diagnoses icd9 code is 99592? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.icd9_code = "99592" | [
26535,
502,
262,
1271,
286,
3871,
3025,
5279,
318,
285,
290,
40567,
14158,
67,
24,
2438,
318,
7388,
45839,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
8388,
796,
366,
44,
1,
5357,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
2079,
45839,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
26535,
502,
262,
1271,
286,
3871,
3025,
5279,
318,
285,
290,
40567,
14158,
67,
24,
2438,
318,
7388,
45839,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
8388,
796,
366,
44,
1,
5357,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
2079,
45839,
1
]
|
What is Opponent In The Final, when Year is '1942'? | SELECT "Opponent in the final" FROM table_49078 WHERE "Year" = '1942' | [
2061,
318,
9385,
3471,
554,
383,
8125,
11,
618,
6280,
318,
705,
1129,
3682,
30960,
46506,
366,
27524,
3471,
287,
262,
2457,
1,
16034,
3084,
62,
2920,
2998,
23,
33411,
366,
17688,
1,
796,
705,
1129,
3682,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
9385,
3471,
554,
383,
8125,
11,
618,
6280,
318,
705,
1129,
3682,
30960,
46506,
366,
27524,
3471,
287,
262,
2457,
1,
16034,
3084,
62,
2920,
2998,
23,
33411,
366,
17688,
1,
796,
705,
1129,
3682,
6
]
|
Show me a bar chart that bin all date of transactions into the weekday interval and the y-axis is their total number, and order by the y-axis in desc. | SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions ORDER BY COUNT(date_of_transaction) DESC | [
15307,
502,
257,
2318,
8262,
326,
9874,
477,
3128,
286,
8945,
656,
262,
28269,
16654,
290,
262,
331,
12,
22704,
318,
511,
2472,
1271,
11,
290,
1502,
416,
262,
331,
12,
22704,
287,
1715,
13,
46506,
3128,
62,
1659,
62,
7645,
2673,
11,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8,
16034,
46192,
38678,
11050,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8,
22196,
34
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
15307,
502,
257,
2318,
8262,
326,
9874,
477,
3128,
286,
8945,
656,
262,
28269,
16654,
290,
262,
331,
12,
22704,
318,
511,
2472,
1271,
11,
290,
1502,
416,
262,
331,
12,
22704,
287,
1715,
13,
46506,
3128,
62,
1659,
62,
7645,
2673,
11,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8,
16034,
46192,
38678,
11050,
327,
28270,
7,
4475,
62,
1659,
62,
7645,
2673,
8,
22196,
34
]
|
How many deciles have Years of 1 8, and a Roll of 49? | SELECT COUNT(decile) FROM table_name_95 WHERE years = "1–8" AND roll = 49 | [
2437,
867,
875,
2915,
423,
13212,
286,
352,
807,
11,
290,
257,
8299,
286,
5125,
30,
46506,
327,
28270,
7,
12501,
576,
8,
16034,
3084,
62,
3672,
62,
3865,
33411,
812,
796,
366,
16,
1906,
23,
1,
5357,
4836,
796,
5125
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
875,
2915,
423,
13212,
286,
352,
807,
11,
290,
257,
8299,
286,
5125,
30,
46506,
327,
28270,
7,
12501,
576,
8,
16034,
3084,
62,
3672,
62,
3865,
33411,
812,
796,
366,
16,
1906,
23,
1,
5357,
4836,
796,
5125
]
|
what was the five most commonly prescribed drugs that were prescribed to patients in the same hospital visit after having been diagnosed until 2103 with sepsis? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'sepsis' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2103') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', medication.drugstarttime) <= '2103') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | [
10919,
373,
262,
1936,
749,
8811,
14798,
5010,
326,
547,
14798,
284,
3871,
287,
262,
976,
4436,
3187,
706,
1719,
587,
14641,
1566,
362,
15197,
351,
384,
862,
271,
30,
46506,
256,
18,
13,
30349,
3672,
16034,
357,
46506,
256,
17,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
5827,
13,
403,
1557,
538,
312,
11,
13669,
13,
47356,
418,
396,
524,
11,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
13669,
32357,
1268,
5827,
6177,
13669,
13,
26029,
20850
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1936,
749,
8811,
14798,
5010,
326,
547,
14798,
284,
3871,
287,
262,
976,
4436,
3187,
706,
1719,
587,
14641,
1566,
362,
15197,
351,
384,
862,
271,
30,
46506,
256,
18,
13,
30349,
3672,
16034,
357,
46506,
256,
17,
13,
30349,
3672,
11,
360,
24290,
62,
49,
15154,
3419,
28729,
357,
12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16,
16034,
357,
46506,
5827,
13,
403,
1557,
538,
312,
11,
13669,
13,
47356,
418,
396,
524,
11,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
13669,
32357,
1268,
5827,
6177,
13669,
13,
26029,
20850
]
|
Where was adac rally deutschland's rally HQ? | SELECT "Rally HQ" FROM table_64378 WHERE "Rally Name" = 'adac rally deutschland' | [
8496,
373,
512,
330,
7903,
390,
40768,
1044,
338,
7903,
25112,
30,
46506,
366,
49,
453,
25112,
1,
16034,
3084,
62,
2414,
30695,
33411,
366,
49,
453,
6530,
1,
796,
705,
324,
330,
7903,
390,
40768,
1044,
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
]
| [
8496,
373,
512,
330,
7903,
390,
40768,
1044,
338,
7903,
25112,
30,
46506,
366,
49,
453,
25112,
1,
16034,
3084,
62,
2414,
30695,
33411,
366,
49,
453,
6530,
1,
796,
705,
324,
330,
7903,
390,
40768,
1044,
6
]
|
How many companies are there in each headquarters? Return a stacked bar chart to group by industry and headquearters, and count by headquarters, and rank X from high to low order. | SELECT Headquarters, COUNT(Headquarters) FROM company GROUP BY Industry, Headquarters ORDER BY Headquarters DESC | [
2437,
867,
2706,
389,
612,
287,
1123,
10043,
30,
8229,
257,
24167,
2318,
8262,
284,
1448,
416,
2831,
290,
1182,
421,
451,
1010,
11,
290,
954,
416,
10043,
11,
290,
4279,
1395,
422,
1029,
284,
1877,
1502,
13,
46506,
32193,
11,
327,
28270,
7,
13847,
8230,
8,
16034,
1664,
44441,
11050,
17420,
11,
32193,
38678,
11050,
32193,
22196,
34
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2437,
867,
2706,
389,
612,
287,
1123,
10043,
30,
8229,
257,
24167,
2318,
8262,
284,
1448,
416,
2831,
290,
1182,
421,
451,
1010,
11,
290,
954,
416,
10043,
11,
290,
4279,
1395,
422,
1029,
284,
1877,
1502,
13,
46506,
32193,
11,
327,
28270,
7,
13847,
8230,
8,
16034,
1664,
44441,
11050,
17420,
11,
32193,
38678,
11050,
32193,
22196,
34
]
|
Where in 1985 was tim mayotte runner up? | SELECT location FROM table_name_13 WHERE year > 1985 AND runner_up = "tim mayotte" | [
8496,
287,
12863,
373,
4628,
743,
11404,
17490,
510,
30,
46506,
4067,
16034,
3084,
62,
3672,
62,
1485,
33411,
614,
1875,
12863,
5357,
17490,
62,
929,
796,
366,
16514,
743,
11404,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
8496,
287,
12863,
373,
4628,
743,
11404,
17490,
510,
30,
46506,
4067,
16034,
3084,
62,
3672,
62,
1485,
33411,
614,
1875,
12863,
5357,
17490,
62,
929,
796,
366,
16514,
743,
11404,
1
]
|
What are the names of technicians with the machine series that they repair? Show me how many machines for each technician's name. | SELECT Name, COUNT(Name) FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.Machine_ID = T2.Machine_ID JOIN technician AS T3 ON T1.technician_id = T3.technician_id GROUP BY Name | [
2061,
389,
262,
3891,
286,
33519,
351,
262,
4572,
2168,
326,
484,
9185,
30,
5438,
502,
703,
867,
8217,
329,
1123,
33024,
338,
1438,
13,
46506,
6530,
11,
327,
28270,
7,
5376,
8,
16034,
9185,
62,
562,
16747,
7054,
309,
16,
32357,
1268,
4572,
7054,
309,
17,
6177,
309,
16,
13,
37573,
62,
2389,
796,
309,
17,
13,
37573,
62,
2389,
32357,
1268,
33024,
7054,
309,
18,
6177,
309,
16,
13,
23873,
6749,
62,
312,
796,
309,
18,
13,
23873,
6749,
62,
312,
44441,
11050,
6530
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
33519,
351,
262,
4572,
2168,
326,
484,
9185,
30,
5438,
502,
703,
867,
8217,
329,
1123,
33024,
338,
1438,
13,
46506,
6530,
11,
327,
28270,
7,
5376,
8,
16034,
9185,
62,
562,
16747,
7054,
309,
16,
32357,
1268,
4572,
7054,
309,
17,
6177,
309,
16,
13,
37573,
62,
2389,
796,
309,
17,
13,
37573,
62,
2389,
32357,
1268,
33024,
7054,
309,
18,
6177,
309,
16,
13,
23873,
6749,
62,
312,
796,
309,
18,
13,
23873,
6749,
62,
312,
44441,
11050,
6530
]
|
What is the Website of the Cheadle Hulme School with a Report of Ofsted for Ages 4-19? | SELECT "Website" FROM table_8416 WHERE "Report" = 'ofsted' AND "Ages" = '4-19' AND "Locality" = 'cheadle hulme' | [
2061,
318,
262,
15887,
286,
262,
327,
2256,
293,
367,
377,
1326,
3961,
351,
257,
6358,
286,
3226,
30679,
329,
21449,
604,
12,
1129,
30,
46506,
366,
33420,
1,
16034,
3084,
62,
5705,
1433,
33411,
366,
19100,
1,
796,
705,
1659,
30679,
6,
5357,
366,
32,
3212,
1,
796,
705,
19,
12,
1129,
6,
5357,
366,
33711,
1483,
1,
796,
705,
66,
2256,
293,
289,
377,
1326,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
15887,
286,
262,
327,
2256,
293,
367,
377,
1326,
3961,
351,
257,
6358,
286,
3226,
30679,
329,
21449,
604,
12,
1129,
30,
46506,
366,
33420,
1,
16034,
3084,
62,
5705,
1433,
33411,
366,
19100,
1,
796,
705,
1659,
30679,
6,
5357,
366,
32,
3212,
1,
796,
705,
19,
12,
1129,
6,
5357,
366,
33711,
1483,
1,
796,
705,
66,
2256,
293,
289,
377,
1326,
6
]
|
What Report has a Winning driver of mario razzauti? | SELECT "Report" FROM table_60590 WHERE "Winning driver" = 'mario razzauti' | [
2061,
6358,
468,
257,
40983,
4639,
286,
1667,
952,
374,
8101,
2306,
72,
30,
46506,
366,
19100,
1,
16034,
3084,
62,
1899,
36993,
33411,
366,
16643,
768,
4639,
1,
796,
705,
3876,
952,
374,
8101,
2306,
72,
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,
6358,
468,
257,
40983,
4639,
286,
1667,
952,
374,
8101,
2306,
72,
30,
46506,
366,
19100,
1,
16034,
3084,
62,
1899,
36993,
33411,
366,
16643,
768,
4639,
1,
796,
705,
3876,
952,
374,
8101,
2306,
72,
6
]
|
For each grade, report the correlation between grade and the total number of students in the grade. | SELECT Grade, COUNT(*) FROM list GROUP BY Grade | [
1890,
1123,
9559,
11,
989,
262,
16096,
1022,
9559,
290,
262,
2472,
1271,
286,
2444,
287,
262,
9559,
13,
46506,
22653,
11,
327,
28270,
7,
28104,
16034,
1351,
44441,
11050,
22653
]
| [
1,
1,
1,
1,
1,
1,
1,
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,
9559,
11,
989,
262,
16096,
1022,
9559,
290,
262,
2472,
1271,
286,
2444,
287,
262,
9559,
13,
46506,
22653,
11,
327,
28270,
7,
28104,
16034,
1351,
44441,
11050,
22653
]
|
What is the name of the artist that issued the single on 23 February? | SELECT artist FROM table_name_43 WHERE issue_date_s_ = "23 february" | [
2061,
318,
262,
1438,
286,
262,
6802,
326,
4884,
262,
2060,
319,
2242,
3945,
30,
46506,
6802,
16034,
3084,
62,
3672,
62,
3559,
33411,
2071,
62,
4475,
62,
82,
62,
796,
366,
1954,
730,
65,
3728,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6802,
326,
4884,
262,
2060,
319,
2242,
3945,
30,
46506,
6802,
16034,
3084,
62,
3672,
62,
3559,
33411,
2071,
62,
4475,
62,
82,
62,
796,
366,
1954,
730,
65,
3728,
1
]
|
A bar chart showing the average of capacity of cinemas open for each year, order by the y-axis in descending. | SELECT Openning_year, AVG(Capacity) FROM cinema GROUP BY Openning_year ORDER BY AVG(Capacity) DESC | [
32,
2318,
8262,
4478,
262,
2811,
286,
5339,
286,
13483,
292,
1280,
329,
1123,
614,
11,
1502,
416,
262,
331,
12,
22704,
287,
31491,
13,
46506,
4946,
768,
62,
1941,
11,
35224,
7,
15610,
4355,
8,
16034,
22041,
44441,
11050,
4946,
768,
62,
1941,
38678,
11050,
35224,
7,
15610,
4355,
8,
22196,
34
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
32,
2318,
8262,
4478,
262,
2811,
286,
5339,
286,
13483,
292,
1280,
329,
1123,
614,
11,
1502,
416,
262,
331,
12,
22704,
287,
31491,
13,
46506,
4946,
768,
62,
1941,
11,
35224,
7,
15610,
4355,
8,
16034,
22041,
44441,
11050,
4946,
768,
62,
1941,
38678,
11050,
35224,
7,
15610,
4355,
8,
22196,
34
]
|
Find the total rating ratio for each channel owner. | SELECT SUM(Rating_in_percent), OWNER FROM channel GROUP BY OWNER | [
16742,
262,
2472,
7955,
8064,
329,
1123,
6518,
4870,
13,
46506,
35683,
7,
29321,
62,
259,
62,
25067,
828,
47210,
21479,
16034,
6518,
44441,
11050,
47210,
21479
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
16742,
262,
2472,
7955,
8064,
329,
1123,
6518,
4870,
13,
46506,
35683,
7,
29321,
62,
259,
62,
25067,
828,
47210,
21479,
16034,
6518,
44441,
11050,
47210,
21479
]
|
Give the ids of documents that have expenses and contain the letter s in their names. | SELECT T1.document_id FROM documents AS T1 JOIN documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%' | [
23318,
262,
220,
2340,
286,
4963,
326,
423,
9307,
290,
3994,
262,
3850,
264,
287,
511,
3891,
13,
46506,
309,
16,
13,
22897,
62,
312,
16034,
4963,
7054,
309,
16,
32357,
1268,
4963,
62,
4480,
62,
11201,
4541,
7054,
309,
17,
6177,
309,
16,
13,
22897,
62,
312,
796,
309,
17,
13,
22897,
62,
312,
33411,
309,
16,
13,
22897,
62,
3672,
34178,
705,
4,
82,
4,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
23318,
262,
220,
2340,
286,
4963,
326,
423,
9307,
290,
3994,
262,
3850,
264,
287,
511,
3891,
13,
46506,
309,
16,
13,
22897,
62,
312,
16034,
4963,
7054,
309,
16,
32357,
1268,
4963,
62,
4480,
62,
11201,
4541,
7054,
309,
17,
6177,
309,
16,
13,
22897,
62,
312,
796,
309,
17,
13,
22897,
62,
312,
33411,
309,
16,
13,
22897,
62,
3672,
34178,
705,
4,
82,
4,
6
]
|
count the number of patients who have had a remove fb from periton procedure performed two or more times since 2104. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'remove fb from periton') AND STRFTIME('%y', procedures_icd.charttime) >= '2104' GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 >= 2 | [
9127,
262,
1271,
286,
3871,
508,
423,
550,
257,
4781,
277,
65,
422,
583,
37752,
8771,
6157,
734,
393,
517,
1661,
1201,
362,
13464,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
327,
28270,
7,
28104,
7054,
269,
16,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
9127,
262,
1271,
286,
3871,
508,
423,
550,
257,
4781,
277,
65,
422,
583,
37752,
8771,
6157,
734,
393,
517,
1661,
1201,
362,
13464,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
16,
13,
32796,
62,
312,
8,
16034,
357,
46506,
25349,
13,
32796,
62,
312,
11,
327,
28270,
7,
28104,
7054,
269,
16,
16034,
9021,
62,
291,
67,
32357,
1268,
25349,
6177,
9021,
62,
291,
67,
13,
18108,
76,
62,
312,
796,
25349,
13,
18108,
76,
62,
312,
33411,
9021,
62,
291,
67,
13,
291,
67,
24,
62,
8189,
796,
357,
46506,
288,
62,
291,
67,
62
]
|
Which Seasons has a Name of joe grugin, and a Lost larger than 8? | SELECT COUNT("Seasons") FROM table_76283 WHERE "Name" = 'joe grugin' AND "Lost" > '8' | [
13828,
33159,
468,
257,
6530,
286,
2525,
68,
22848,
1655,
11,
290,
257,
9164,
4025,
621,
807,
30,
46506,
327,
28270,
7203,
4653,
2812,
4943,
16034,
3084,
62,
4304,
30290,
33411,
366,
5376,
1,
796,
705,
73,
2577,
22848,
1655,
6,
5357,
366,
31042,
1,
1875,
705,
23,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
13828,
33159,
468,
257,
6530,
286,
2525,
68,
22848,
1655,
11,
290,
257,
9164,
4025,
621,
807,
30,
46506,
327,
28270,
7203,
4653,
2812,
4943,
16034,
3084,
62,
4304,
30290,
33411,
366,
5376,
1,
796,
705,
73,
2577,
22848,
1655,
6,
5357,
366,
31042,
1,
1875,
705,
23,
6
]
|
Show the names of members and the location of performances they attended in ascending alphabetical order of their names. | SELECT T2.Name, T3.Location FROM member_attendance AS T1 JOIN member AS T2 ON T1.Member_ID = T2.Member_ID JOIN performance AS T3 ON T1.Performance_ID = T3.Performance_ID ORDER BY T2.Name | [
15307,
262,
3891,
286,
1866,
290,
262,
4067,
286,
13289,
484,
9141,
287,
41988,
24830,
605,
1502,
286,
511,
3891,
13,
46506,
309,
17,
13,
5376,
11,
309,
18,
13,
14749,
16034,
2888,
62,
1078,
437,
590,
7054,
309,
16,
32357,
1268,
2888,
7054,
309,
17,
6177,
309,
16,
13,
27608,
62,
2389,
796,
309,
17,
13,
27608,
62,
2389,
32357,
1268,
2854,
7054,
309,
18,
6177,
309,
16,
13,
32273,
62,
2389,
796,
309,
18,
13,
32273,
62,
2389,
38678,
11050,
309,
17,
13,
5376
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
15307,
262,
3891,
286,
1866,
290,
262,
4067,
286,
13289,
484,
9141,
287,
41988,
24830,
605,
1502,
286,
511,
3891,
13,
46506,
309,
17,
13,
5376,
11,
309,
18,
13,
14749,
16034,
2888,
62,
1078,
437,
590,
7054,
309,
16,
32357,
1268,
2888,
7054,
309,
17,
6177,
309,
16,
13,
27608,
62,
2389,
796,
309,
17,
13,
27608,
62,
2389,
32357,
1268,
2854,
7054,
309,
18,
6177,
309,
16,
13,
32273,
62,
2389,
796,
309,
18,
13,
32273,
62,
2389,
38678,
11050,
309,
17,
13,
5376
]
|
Which Big (>500ha) has a Micro (10ha) larger than 940, and a Department of potos , and a Total smaller than 16,240? | SELECT MAX(big__) > 500 AS ha_ FROM table_name_12 WHERE micro__10ha_ > 940 AND department = "potosí" AND total < 16 OFFSET 240 | [
13828,
4403,
45160,
4059,
3099,
8,
468,
257,
4527,
357,
940,
3099,
8,
4025,
621,
860,
1821,
11,
290,
257,
2732,
286,
1787,
418,
837,
290,
257,
7472,
4833,
621,
1467,
11,
16102,
30,
46506,
25882,
7,
14261,
834,
8,
1875,
5323,
7054,
387,
62,
16034,
3084,
62,
3672,
62,
1065,
33411,
4580,
834,
940,
3099,
62,
1875,
860,
1821,
5357,
5011,
796,
366,
13059,
418,
8836,
1,
5357,
2472,
1279,
1467,
3963,
10652,
2767,
14956
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4403,
45160,
4059,
3099,
8,
468,
257,
4527,
357,
940,
3099,
8,
4025,
621,
860,
1821,
11,
290,
257,
2732,
286,
1787,
418,
837,
290,
257,
7472,
4833,
621,
1467,
11,
16102,
30,
46506,
25882,
7,
14261,
834,
8,
1875,
5323,
7054,
387,
62,
16034,
3084,
62,
3672,
62,
1065,
33411,
4580,
834,
940,
3099,
62,
1875,
860,
1821,
5357,
5011,
796,
366,
13059,
418,
8836,
1,
5357,
2472,
1279,
1467,
3963,
10652,
2767,
14956
]
|
What is the average goals Sawyer has? | SELECT AVG(goals) FROM table_name_46 WHERE name = "sawyer" | [
2061,
318,
262,
2811,
4661,
42371,
468,
30,
46506,
35224,
7,
2188,
874,
8,
16034,
3084,
62,
3672,
62,
3510,
33411,
1438,
796,
366,
43439,
9860,
1
]
| [
1,
1,
1,
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,
4661,
42371,
468,
30,
46506,
35224,
7,
2188,
874,
8,
16034,
3084,
62,
3672,
62,
3510,
33411,
1438,
796,
366,
43439,
9860,
1
]
|
What is Patrice Bergeron's rating? | SELECT "Rating" FROM table_67563 WHERE "Player" = 'patrice bergeron' | [
2061,
318,
3208,
20970,
33337,
261,
338,
7955,
30,
46506,
366,
29321,
1,
16034,
3084,
62,
42444,
5066,
33411,
366,
14140,
1,
796,
705,
8071,
20970,
18157,
1362,
261,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
3208,
20970,
33337,
261,
338,
7955,
30,
46506,
366,
29321,
1,
16034,
3084,
62,
42444,
5066,
33411,
366,
14140,
1,
796,
705,
8071,
20970,
18157,
1362,
261,
6
]
|
Who beat the Marlins with a score of 4-0? | SELECT "Winning Team" FROM table_11446 WHERE "Losing Team" = 'marlins' AND "Score" = '4-0' | [
8241,
4405,
262,
38134,
351,
257,
4776,
286,
604,
12,
15,
30,
46506,
366,
16643,
768,
4816,
1,
16034,
3084,
62,
1157,
27260,
33411,
366,
43,
2752,
4816,
1,
796,
705,
3876,
21602,
6,
5357,
366,
26595,
1,
796,
705,
19,
12,
15,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
8241,
4405,
262,
38134,
351,
257,
4776,
286,
604,
12,
15,
30,
46506,
366,
16643,
768,
4816,
1,
16034,
3084,
62,
1157,
27260,
33411,
366,
43,
2752,
4816,
1,
796,
705,
3876,
21602,
6,
5357,
366,
26595,
1,
796,
705,
19,
12,
15,
6
]
|
what is the report where the location is kyalami? | SELECT "Report" FROM table_16748 WHERE "Location" = 'Kyalami' | [
10919,
318,
262,
989,
810,
262,
4067,
318,
479,
88,
282,
6277,
30,
46506,
366,
19100,
1,
16034,
3084,
62,
21940,
2780,
33411,
366,
14749,
1,
796,
705,
30630,
282,
6277,
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
]
| [
10919,
318,
262,
989,
810,
262,
4067,
318,
479,
88,
282,
6277,
30,
46506,
366,
19100,
1,
16034,
3084,
62,
21940,
2780,
33411,
366,
14749,
1,
796,
705,
30630,
282,
6277,
6
]
|
What is the percentage of Atheism associated with an other percentage of 0.08%? | SELECT atheism FROM table_name_90 WHERE other = "0.08%" | [
2061,
318,
262,
5873,
286,
27751,
1042,
3917,
351,
281,
584,
5873,
286,
657,
13,
2919,
4,
30,
46506,
38365,
16034,
3084,
62,
3672,
62,
3829,
33411,
584,
796,
366,
15,
13,
2919,
39658
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
5873,
286,
27751,
1042,
3917,
351,
281,
584,
5873,
286,
657,
13,
2919,
4,
30,
46506,
38365,
16034,
3084,
62,
3672,
62,
3829,
33411,
584,
796,
366,
15,
13,
2919,
39658
]
|
Name the 2010 for 2006 of 2r | SELECT 2010 FROM table_name_9 WHERE 2006 = "2r" | [
5376,
262,
3050,
329,
4793,
286,
362,
81,
46506,
3050,
16034,
3084,
62,
3672,
62,
24,
33411,
4793,
796,
366,
17,
81,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
5376,
262,
3050,
329,
4793,
286,
362,
81,
46506,
3050,
16034,
3084,
62,
3672,
62,
24,
33411,
4793,
796,
366,
17,
81,
1
]
|
how many patients whose insurance is medicaid and diagnoses short title is k. pneumoniae pneumonia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicaid" AND diagnoses.short_title = "K. pneumoniae pneumonia" | [
4919,
867,
3871,
3025,
5096,
318,
6924,
1698,
290,
40567,
1790,
3670,
318,
479,
13,
35647,
68,
35647,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
1040,
3874,
796,
366,
39112,
1698,
1,
5357,
40567,
13,
19509,
62,
7839,
796,
366,
42,
13,
35647,
68,
35647,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5096,
318,
6924,
1698,
290,
40567,
1790,
3670,
318,
479,
13,
35647,
68,
35647,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
40567,
6177,
16728,
13,
18108,
76,
62,
312,
796,
40567,
13,
18108,
76,
62,
312,
33411,
16728,
13,
1040,
3874,
796,
366,
39112,
1698,
1,
5357,
40567,
13,
19509,
62,
7839,
796,
366,
42,
13,
35647,
68,
35647,
1
]
|
how many times does patient 006-167444 come to the hospital until 4 years ago. | SELECT COUNT(DISTINCT patient.patienthealthsystemstayid) FROM patient WHERE patient.uniquepid = '006-167444' AND DATETIME(patient.hospitaladmittime) <= DATETIME(CURRENT_TIME(), '-4 year') | [
4919,
867,
1661,
857,
5827,
3571,
21,
12,
21940,
30272,
1282,
284,
262,
4436,
1566,
604,
812,
2084,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
5827,
13,
26029,
13948,
10057,
31712,
312,
8,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
28041,
12,
21940,
30272,
6,
5357,
360,
1404,
2767,
12789,
7,
26029,
13,
49257,
324,
20124,
524,
8,
19841,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
19,
614,
11537
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
4919,
867,
1661,
857,
5827,
3571,
21,
12,
21940,
30272,
1282,
284,
262,
4436,
1566,
604,
812,
2084,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
5827,
13,
26029,
13948,
10057,
31712,
312,
8,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
28041,
12,
21940,
30272,
6,
5357,
360,
1404,
2767,
12789,
7,
26029,
13,
49257,
324,
20124,
524,
8,
19841,
360,
1404,
2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
19,
614,
11537
]
|
What is the score of the player with a To Par of +1 from Spain? | SELECT "Score" FROM table_61611 WHERE "To par" = '+1' AND "Country" = 'spain' | [
2061,
318,
262,
4776,
286,
262,
2137,
351,
257,
1675,
2547,
286,
1343,
16,
422,
8602,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
44214,
1157,
33411,
366,
2514,
1582,
1,
796,
705,
10,
16,
6,
5357,
366,
33921,
1,
796,
705,
2777,
391,
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
]
| [
2061,
318,
262,
4776,
286,
262,
2137,
351,
257,
1675,
2547,
286,
1343,
16,
422,
8602,
30,
46506,
366,
26595,
1,
16034,
3084,
62,
44214,
1157,
33411,
366,
2514,
1582,
1,
796,
705,
10,
16,
6,
5357,
366,
33921,
1,
796,
705,
2777,
391,
6
]
|
What band performed when Samantha Mumba presented? | SELECT "Band" FROM table_6726 WHERE "Female" = 'samantha mumba' | [
2061,
4097,
6157,
618,
34778,
337,
2178,
64,
5545,
30,
46506,
366,
31407,
1,
16034,
3084,
62,
3134,
2075,
33411,
366,
27273,
1,
796,
705,
82,
10546,
12898,
285,
2178,
64,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
4097,
6157,
618,
34778,
337,
2178,
64,
5545,
30,
46506,
366,
31407,
1,
16034,
3084,
62,
3134,
2075,
33411,
366,
27273,
1,
796,
705,
82,
10546,
12898,
285,
2178,
64,
6
]
|
has there been any microbiological test performed on patient 031-16123's nasopharynx until 2104? | SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123')) AND microlab.culturesite = 'nasopharynx' AND STRFTIME('%y', microlab.culturetakentime) <= '2104' | [
10134,
612,
587,
597,
24559,
2770,
1332,
6157,
319,
5827,
657,
3132,
12,
1433,
10163,
338,
25221,
2522,
38621,
87,
1566,
362,
13464,
30,
46506,
327,
28270,
7,
28104,
16034,
4580,
23912,
33411,
4580,
23912,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
43637,
12,
1433,
10163,
6,
4008,
5357,
4580,
23912,
13,
40820,
942,
578,
796,
705,
24716,
2522,
38621,
87,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10134,
612,
587,
597,
24559,
2770,
1332,
6157,
319,
5827,
657,
3132,
12,
1433,
10163,
338,
25221,
2522,
38621,
87,
1566,
362,
13464,
30,
46506,
327,
28270,
7,
28104,
16034,
4580,
23912,
33411,
4580,
23912,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
43637,
12,
1433,
10163,
6,
4008,
5357,
4580,
23912,
13,
40820,
942,
578,
796,
705,
24716,
2522,
38621,
87,
6
]
|
what is procedure long title and drug route of subject id 24425? | SELECT procedures.long_title, prescriptions.route FROM procedures INNER JOIN prescriptions ON procedures.hadm_id = prescriptions.hadm_id WHERE procedures.subject_id = "24425" | [
10919,
318,
8771,
890,
3670,
290,
2563,
6339,
286,
2426,
4686,
1987,
32114,
30,
46506,
9021,
13,
6511,
62,
7839,
11,
34092,
13,
38629,
16034,
9021,
3268,
21479,
32357,
1268,
34092,
6177,
9021,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
33411,
9021,
13,
32796,
62,
312,
796,
366,
25707,
1495,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
8771,
890,
3670,
290,
2563,
6339,
286,
2426,
4686,
1987,
32114,
30,
46506,
9021,
13,
6511,
62,
7839,
11,
34092,
13,
38629,
16034,
9021,
3268,
21479,
32357,
1268,
34092,
6177,
9021,
13,
18108,
76,
62,
312,
796,
34092,
13,
18108,
76,
62,
312,
33411,
9021,
13,
32796,
62,
312,
796,
366,
25707,
1495,
1
]
|
report the number of patients who had partial glossectomy and were not hospitalized. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "0" AND procedures.long_title = "Partial glossectomy" | [
13116,
262,
1271,
286,
3871,
508,
550,
13027,
1278,
418,
8831,
9145,
290,
547,
407,
31736,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
12545,
62,
31712,
1875,
366,
15,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
7841,
498,
1278,
418,
8831,
9145,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
13116,
262,
1271,
286,
3871,
508,
550,
13027,
1278,
418,
8831,
9145,
290,
547,
407,
31736,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
12545,
62,
31712,
1875,
366,
15,
1,
5357,
9021,
13,
6511,
62,
7839,
796,
366,
7841,
498,
1278,
418,
8831,
9145,
1
]
|
Give me a bar chart for mean tonnage of each type, show by the Y in asc. | SELECT Type, AVG(Tonnage) FROM ship GROUP BY Type ORDER BY AVG(Tonnage) | [
23318,
502,
257,
2318,
8262,
329,
1612,
5680,
77,
496,
286,
1123,
2099,
11,
905,
416,
262,
575,
287,
10570,
13,
46506,
5994,
11,
35224,
7,
35416,
77,
496,
8,
16034,
4074,
44441,
11050,
5994,
38678,
11050,
35224,
7,
35416,
77,
496,
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
]
| [
23318,
502,
257,
2318,
8262,
329,
1612,
5680,
77,
496,
286,
1123,
2099,
11,
905,
416,
262,
575,
287,
10570,
13,
46506,
5994,
11,
35224,
7,
35416,
77,
496,
8,
16034,
4074,
44441,
11050,
5994,
38678,
11050,
35224,
7,
35416,
77,
496,
8
]
|
Difference of - 20, and a Position smaller than 17 is the highest against? | SELECT MAX(against) FROM table_name_47 WHERE difference = "- 20" AND position < 17 | [
28813,
1945,
286,
532,
1160,
11,
290,
257,
23158,
4833,
621,
1596,
318,
262,
4511,
1028,
30,
46506,
25882,
7,
32826,
8,
16034,
3084,
62,
3672,
62,
2857,
33411,
3580,
796,
27444,
1160,
1,
5357,
2292,
1279,
1596
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
28813,
1945,
286,
532,
1160,
11,
290,
257,
23158,
4833,
621,
1596,
318,
262,
4511,
1028,
30,
46506,
25882,
7,
32826,
8,
16034,
3084,
62,
3672,
62,
2857,
33411,
3580,
796,
27444,
1160,
1,
5357,
2292,
1279,
1596
]
|
What is the sum of the years with bus conner as the BSU head coach? | SELECT SUM("Year") FROM table_46347 WHERE "BSU Head Coach" = 'bus conner' | [
2061,
318,
262,
2160,
286,
262,
812,
351,
1323,
369,
1008,
355,
262,
347,
12564,
1182,
3985,
30,
46506,
35683,
7203,
17688,
4943,
16034,
3084,
62,
3510,
30995,
33411,
366,
4462,
52,
7123,
16393,
1,
796,
705,
10885,
369,
1008,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
2160,
286,
262,
812,
351,
1323,
369,
1008,
355,
262,
347,
12564,
1182,
3985,
30,
46506,
35683,
7203,
17688,
4943,
16034,
3084,
62,
3510,
30995,
33411,
366,
4462,
52,
7123,
16393,
1,
796,
705,
10885,
369,
1008,
6
]
|
DALLAS to OAKLAND saturday | 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, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND date_day.day_number = 26 AND date_day.month_number = 7 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | [
35,
7036,
1921,
284,
440,
10206,
28182,
264,
3658,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
3128,
62,
820,
11,
1528,
11,
5474,
33411,
357,
34,
9050,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189,
5357,
27993,
62,
16,
13,
19205,
62,
3672,
796,
705,
46,
10206,
28182,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
35,
7036,
1921,
284,
440,
10206,
28182,
264,
3658,
46506,
360,
8808,
1268,
4177,
5474,
13,
22560,
62,
312,
16034,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
15,
11,
9003,
62,
15271,
7054,
31600,
15490,
62,
35009,
27389,
62,
16,
11,
1748,
7054,
27993,
62,
15,
11,
1748,
7054,
27993,
62,
16,
11,
3128,
62,
820,
11,
1528,
11,
5474,
33411,
357,
34,
9050,
62,
16,
13,
19205,
62,
8189,
796,
31600,
15490,
62,
35009,
27389,
62,
16,
13,
19205,
62,
8189,
5357,
27993,
62,
16,
13,
19205,
62,
3672,
796,
705,
46,
10206,
28182,
6,
5357
]
|
What is the greatest point of an Entrant of connaught engineering alta straight-4 engine before 1957 | SELECT MAX(points) FROM table_name_9 WHERE engine = "alta straight-4" AND entrant = "connaught engineering" AND year < 1957 | [
2061,
318,
262,
6000,
966,
286,
281,
7232,
5250,
286,
48260,
3413,
8705,
5988,
64,
3892,
12,
19,
3113,
878,
25177,
46506,
25882,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
24,
33411,
3113,
796,
366,
2501,
64,
3892,
12,
19,
1,
5357,
920,
5250,
796,
366,
37043,
3413,
8705,
1,
5357,
614,
1279,
25177
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6000,
966,
286,
281,
7232,
5250,
286,
48260,
3413,
8705,
5988,
64,
3892,
12,
19,
3113,
878,
25177,
46506,
25882,
7,
13033,
8,
16034,
3084,
62,
3672,
62,
24,
33411,
3113,
796,
366,
2501,
64,
3892,
12,
19,
1,
5357,
920,
5250,
796,
366,
37043,
3413,
8705,
1,
5357,
614,
1279,
25177
]
|
full Votes for a post. | SELECT * FROM Votes WHERE PostId = '##postid:int?1##' | [
12853,
39584,
329,
257,
1281,
13,
46506,
1635,
16034,
39584,
33411,
2947,
7390,
796,
705,
2235,
7353,
312,
25,
600,
30,
16,
2235,
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
]
| [
12853,
39584,
329,
257,
1281,
13,
46506,
1635,
16034,
39584,
33411,
2947,
7390,
796,
705,
2235,
7353,
312,
25,
600,
30,
16,
2235,
6
]
|
is hematocrit of patient 43959 second measured on the first hospital visit greater than first measured on the first hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 43959 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit') ORDER BY labevents.charttime LIMIT 1 OFFSET 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 43959 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit') ORDER BY labevents.charttime LIMIT 1) | [
271,
339,
6759,
420,
799,
286,
5827,
604,
2670,
3270,
1218,
8630,
319,
262,
717,
4436,
3187,
3744,
621,
717,
8630,
319,
262,
717,
4436,
3187,
30,
46506,
357,
46506,
2248,
31534,
13,
2100,
84,
44709,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
604,
2670,
3270,
5357,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
38678,
11050,
25349,
13,
324,
20124,
524,
27564,
2043,
352,
8,
5357,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
271,
339,
6759,
420,
799,
286,
5827,
604,
2670,
3270,
1218,
8630,
319,
262,
717,
4436,
3187,
3744,
621,
717,
8630,
319,
262,
717,
4436,
3187,
30,
46506,
357,
46506,
2248,
31534,
13,
2100,
84,
44709,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
604,
2670,
3270,
5357,
5626,
25349,
13,
6381,
354,
2435,
3180,
15697,
38678,
11050,
25349,
13,
324,
20124,
524,
27564,
2043,
352,
8,
5357,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912
]
|
What is the Date of the athlete in the shot put Event? | SELECT "Date" FROM table_13372 WHERE "Event" = 'shot put' | [
2061,
318,
262,
7536,
286,
262,
16076,
287,
262,
2823,
1234,
8558,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1485,
36720,
33411,
366,
9237,
1,
796,
705,
9442,
1234,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
7536,
286,
262,
16076,
287,
262,
2823,
1234,
8558,
30,
46506,
366,
10430,
1,
16034,
3084,
62,
1485,
36720,
33411,
366,
9237,
1,
796,
705,
9442,
1234,
6
]
|
What is the Away team score when home's score is 10.16 (76)? | SELECT "Away team score" FROM table_58073 WHERE "Home team score" = '10.16 (76)' | [
2061,
318,
262,
21986,
1074,
4776,
618,
1363,
338,
4776,
318,
838,
13,
1433,
357,
4304,
19427,
46506,
366,
32,
1014,
1074,
4776,
1,
16034,
3084,
62,
39322,
4790,
33411,
366,
16060,
1074,
4776,
1,
796,
705,
940,
13,
1433,
357,
4304,
33047
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
21986,
1074,
4776,
618,
1363,
338,
4776,
318,
838,
13,
1433,
357,
4304,
19427,
46506,
366,
32,
1014,
1074,
4776,
1,
16034,
3084,
62,
39322,
4790,
33411,
366,
16060,
1074,
4776,
1,
796,
705,
940,
13,
1433,
357,
4304,
33047
]
|
If the total number of seats is under 144, and the seats won is 32, which election is this? | SELECT election FROM table_name_37 WHERE total_seats < 144 AND seats = 32 | [
1532,
262,
2472,
1271,
286,
8632,
318,
739,
20224,
11,
290,
262,
8632,
1839,
318,
3933,
11,
543,
3071,
318,
428,
30,
46506,
3071,
16034,
3084,
62,
3672,
62,
2718,
33411,
2472,
62,
325,
1381,
1279,
20224,
5357,
8632,
796,
3933
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
1532,
262,
2472,
1271,
286,
8632,
318,
739,
20224,
11,
290,
262,
8632,
1839,
318,
3933,
11,
543,
3071,
318,
428,
30,
46506,
3071,
16034,
3084,
62,
3672,
62,
2718,
33411,
2472,
62,
325,
1381,
1279,
20224,
5357,
8632,
796,
3933
]
|
Which song is from Volume:Issue 64:11-12? | SELECT "Song" FROM table_34330 WHERE "Volume:Issue" = '64:11-12' | [
13828,
3496,
318,
422,
14701,
25,
45147,
5598,
25,
1157,
12,
1065,
30,
46506,
366,
44241,
1,
16034,
3084,
62,
2682,
26073,
33411,
366,
31715,
25,
45147,
1,
796,
705,
2414,
25,
1157,
12,
1065,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
13828,
3496,
318,
422,
14701,
25,
45147,
5598,
25,
1157,
12,
1065,
30,
46506,
366,
44241,
1,
16034,
3084,
62,
2682,
26073,
33411,
366,
31715,
25,
45147,
1,
796,
705,
2414,
25,
1157,
12,
1065,
6
]
|
tell me the name of the output patient 016-18150 had last until 12/23/2105? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18150')) AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2105-12-23' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | [
33331,
502,
262,
1438,
286,
262,
5072,
5827,
5534,
21,
12,
1507,
8628,
550,
938,
1566,
1105,
14,
1954,
14,
17,
13348,
30,
46506,
10337,
22915,
13,
3846,
18242,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
27037,
12,
1507,
8628,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
22915,
4,
6,
5357,
19269
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
33331,
502,
262,
1438,
286,
262,
5072,
5827,
5534,
21,
12,
1507,
8628,
550,
938,
1566,
1105,
14,
1954,
14,
17,
13348,
30,
46506,
10337,
22915,
13,
3846,
18242,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
27037,
12,
1507,
8628,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
22915,
4,
6,
5357,
19269
]
|
what is patient 44848's maximum value of metamyelocytes in 04/this year? | SELECT MAX(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 44848) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'metamyelocytes') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '04' | [
10919,
318,
5827,
49989,
2780,
338,
5415,
1988,
286,
1138,
14814,
417,
30309,
287,
8702,
14,
5661,
614,
30,
46506,
25882,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
49989,
2780,
8,
5357,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
4164,
14814,
417,
30309,
11537,
5357,
360,
1404,
2767
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
5827,
49989,
2780,
338,
5415,
1988,
286,
1138,
14814,
417,
30309,
287,
8702,
14,
5661,
614,
30,
46506,
25882,
7,
23912,
31534,
13,
2100,
84,
44709,
8,
16034,
2248,
31534,
33411,
2248,
31534,
13,
18108,
76,
62,
312,
3268,
357,
46506,
25349,
13,
18108,
76,
62,
312,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
49989,
2780,
8,
5357,
2248,
31534,
13,
9186,
312,
3268,
357,
46506,
288,
62,
23912,
23814,
13,
9186,
312,
16034,
288,
62,
23912,
23814,
33411,
288,
62,
23912,
23814,
13,
18242,
796,
705,
4164,
14814,
417,
30309,
11537,
5357,
360,
1404,
2767
]
|
how many times does patient 017-7283 have a volume (ml) octreotide intake until 11/07/2103? | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-7283')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'volume (ml) octreotide' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2103-11-07' | [
4919,
867,
1661,
857,
5827,
5534,
22,
12,
22,
30290,
423,
257,
6115,
357,
4029,
8,
19318,
260,
45608,
10337,
1566,
1367,
14,
2998,
14,
17,
15197,
30,
46506,
327,
28270,
7,
28104,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
29326,
12,
22,
30290,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
600
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1661,
857,
5827,
5534,
22,
12,
22,
30290,
423,
257,
6115,
357,
4029,
8,
19318,
260,
45608,
10337,
1566,
1367,
14,
2998,
14,
17,
15197,
30,
46506,
327,
28270,
7,
28104,
16034,
10337,
22915,
33411,
10337,
22915,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
31712,
312,
16034,
5827,
33411,
5827,
13,
26029,
13948,
10057,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557,
538,
312,
796,
705,
29326,
12,
22,
30290,
6,
4008,
5357,
10337,
22915,
13,
3846,
6978,
34178,
705,
4,
600
]
|
what is the judge e when judge c is 56.67 and the rider is dag albert? | SELECT "Judge E" FROM table_63337 WHERE "Judge C" = '56.67' AND "Rider" = 'dag albert' | [
10919,
318,
262,
5052,
304,
618,
5052,
269,
318,
7265,
13,
3134,
290,
262,
17876,
318,
48924,
435,
4835,
30,
46506,
366,
29511,
412,
1,
16034,
3084,
62,
21,
2091,
2718,
33411,
366,
29511,
327,
1,
796,
705,
3980,
13,
3134,
6,
5357,
366,
49,
1304,
1,
796,
705,
67,
363,
435,
4835,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
318,
262,
5052,
304,
618,
5052,
269,
318,
7265,
13,
3134,
290,
262,
17876,
318,
48924,
435,
4835,
30,
46506,
366,
29511,
412,
1,
16034,
3084,
62,
21,
2091,
2718,
33411,
366,
29511,
327,
1,
796,
705,
3980,
13,
3134,
6,
5357,
366,
49,
1304,
1,
796,
705,
67,
363,
435,
4835,
6
]
|
In Cavalier County and the geo id is larger than 3801931620.0, what is the population? | SELECT pop__2010_ FROM table_18600760_7 WHERE county = "Cavalier" AND geo_id > 3801931620.0 | [
818,
21753,
959,
3418,
290,
262,
40087,
4686,
318,
4025,
621,
4353,
486,
6052,
1433,
1238,
13,
15,
11,
644,
318,
262,
3265,
30,
46506,
1461,
834,
10333,
62,
16034,
3084,
62,
1507,
8054,
40761,
62,
22,
33411,
7968,
796,
366,
34,
9226,
959,
1,
5357,
40087,
62,
312,
1875,
4353,
486,
6052,
1433,
1238,
13,
15
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
818,
21753,
959,
3418,
290,
262,
40087,
4686,
318,
4025,
621,
4353,
486,
6052,
1433,
1238,
13,
15,
11,
644,
318,
262,
3265,
30,
46506,
1461,
834,
10333,
62,
16034,
3084,
62,
1507,
8054,
40761,
62,
22,
33411,
7968,
796,
366,
34,
9226,
959,
1,
5357,
40087,
62,
312,
1875,
4353,
486,
6052,
1433,
1238,
13,
15
]
|
Can you tell me how many credits I have so far ? | SELECT DISTINCT total_credit FROM student WHERE student_id = 1 | [
6090,
345,
1560,
502,
703,
867,
10824,
314,
423,
523,
1290,
5633,
46506,
360,
8808,
1268,
4177,
2472,
62,
43082,
16034,
3710,
33411,
3710,
62,
312,
796,
352
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
6090,
345,
1560,
502,
703,
867,
10824,
314,
423,
523,
1290,
5633,
46506,
360,
8808,
1268,
4177,
2472,
62,
43082,
16034,
3710,
33411,
3710,
62,
312,
796,
352
]
|
What is the highest episode number in which Jamie Oliver guest-hosted? | SELECT MAX(episode_number) FROM table_name_89 WHERE guest_host = "jamie oliver" | [
2061,
318,
262,
4511,
4471,
1271,
287,
543,
17826,
15416,
8319,
12,
4774,
276,
30,
46506,
25882,
7,
38668,
62,
17618,
8,
16034,
3084,
62,
3672,
62,
4531,
33411,
8319,
62,
4774,
796,
366,
39159,
494,
25776,
1428,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4471,
1271,
287,
543,
17826,
15416,
8319,
12,
4774,
276,
30,
46506,
25882,
7,
38668,
62,
17618,
8,
16034,
3084,
62,
3672,
62,
4531,
33411,
8319,
62,
4774,
796,
366,
39159,
494,
25776,
1428,
1
]
|
What was the most common first post type?. | SELECT usercount, PostTypes.Name FROM (SELECT COUNT(latest.OwnerUserId) AS usercount, PostTypeId FROM (SELECT OwnerUserId, MIN(CreationDate) AS firstdate FROM Posts GROUP BY OwnerUserId) AS latest INNER JOIN Posts ON Posts.OwnerUserId = latest.OwnerUserId GROUP BY PostTypeId) AS counts INNER JOIN PostTypes ON PostTypes.Id = PostTypeId ORDER BY usercount DESC | [
2061,
373,
262,
749,
2219,
717,
1281,
2099,
30,
13,
46506,
514,
2798,
608,
11,
2947,
31431,
13,
5376,
16034,
357,
46506,
327,
28270,
7,
42861,
13,
42419,
12982,
7390,
8,
7054,
514,
2798,
608,
11,
2947,
6030,
7390,
16034,
357,
46506,
23853,
12982,
7390,
11,
20625,
7,
12443,
341,
10430,
8,
7054,
717,
4475,
16034,
12043,
44441,
11050,
23853,
12982,
7390,
8,
7054,
3452,
3268,
21479,
32357,
1268,
12043,
6177,
12043,
13,
42419,
12982,
7390,
796,
3452,
13,
42419,
12982,
7390,
44441,
11050,
2947,
6030,
7390,
8,
7054,
9853,
3268,
21479,
32357,
1268,
2947,
31431,
6177,
2947,
31431,
13
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
373,
262,
749,
2219,
717,
1281,
2099,
30,
13,
46506,
514,
2798,
608,
11,
2947,
31431,
13,
5376,
16034,
357,
46506,
327,
28270,
7,
42861,
13,
42419,
12982,
7390,
8,
7054,
514,
2798,
608,
11,
2947,
6030,
7390,
16034,
357,
46506,
23853,
12982,
7390,
11,
20625,
7,
12443,
341,
10430,
8,
7054,
717,
4475,
16034,
12043,
44441,
11050,
23853,
12982,
7390,
8,
7054,
3452,
3268,
21479,
32357,
1268,
12043,
6177,
12043,
13,
42419,
12982,
7390,
796,
3452,
13,
42419,
12982,
7390,
44441,
11050,
2947,
6030,
7390,
8,
7054,
9853,
3268,
21479,
32357,
1268,
2947,
31431,
6177,
2947,
31431,
13
]
|
What was the score for the game against the Golden State Warriors? | SELECT score FROM table_name_54 WHERE opponent = "golden state warriors" | [
2061,
373,
262,
4776,
329,
262,
983,
1028,
262,
8407,
1812,
12090,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
4051,
33411,
6125,
796,
366,
24267,
268,
1181,
17119,
1
]
| [
1,
1,
1,
1,
1,
1,
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,
262,
983,
1028,
262,
8407,
1812,
12090,
30,
46506,
4776,
16034,
3084,
62,
3672,
62,
4051,
33411,
6125,
796,
366,
24267,
268,
1181,
17119,
1
]
|
Users with the Tumbleweed badge, ordered by reputation. For meta question http://meta.stackoverflow.com/q/67882/7586 | SELECT u.Id AS "user_link", u.Reputation, COUNT(b.Name) AS tumbleweed_count FROM Badges AS b JOIN Users AS u ON b.UserId = u.Id WHERE b.Name = 'Tumbleweed' GROUP BY b.Name, u.Id, u.Reputation ORDER BY Reputation DESC LIMIT 250 | [
14490,
351,
262,
309,
10344,
39054,
23009,
11,
6149,
416,
8507,
13,
1114,
13634,
1808,
2638,
1378,
28961,
13,
25558,
2502,
11125,
13,
785,
14,
80,
14,
3134,
42980,
14,
2425,
4521,
46506,
334,
13,
7390,
7054,
366,
7220,
62,
8726,
1600,
334,
13,
6207,
7094,
11,
327,
28270,
7,
65,
13,
5376,
8,
7054,
47978,
39054,
62,
9127,
16034,
7772,
3212,
7054,
275,
32357,
1268,
18987,
7054,
334,
6177,
275,
13,
12982,
7390,
796,
334,
13,
7390,
33411,
275,
13,
5376,
796,
705,
51,
10344,
39054,
6,
44441,
11050,
275,
13,
5376,
11,
334,
13,
7390,
11,
334,
13
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
14490,
351,
262,
309,
10344,
39054,
23009,
11,
6149,
416,
8507,
13,
1114,
13634,
1808,
2638,
1378,
28961,
13,
25558,
2502,
11125,
13,
785,
14,
80,
14,
3134,
42980,
14,
2425,
4521,
46506,
334,
13,
7390,
7054,
366,
7220,
62,
8726,
1600,
334,
13,
6207,
7094,
11,
327,
28270,
7,
65,
13,
5376,
8,
7054,
47978,
39054,
62,
9127,
16034,
7772,
3212,
7054,
275,
32357,
1268,
18987,
7054,
334,
6177,
275,
13,
12982,
7390,
796,
334,
13,
7390,
33411,
275,
13,
5376,
796,
705,
51,
10344,
39054,
6,
44441,
11050,
275,
13,
5376,
11,
334,
13,
7390,
11,
334,
13
]
|
Who is the visitor of the match on July 29? | SELECT "Visitor" FROM table_37344 WHERE "Date" = 'july 29' | [
8241,
318,
262,
21493,
286,
262,
2872,
319,
2901,
2808,
30,
46506,
366,
15854,
2072,
1,
16034,
3084,
62,
2718,
33535,
33411,
366,
10430,
1,
796,
705,
73,
2062,
2808,
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,
318,
262,
21493,
286,
262,
2872,
319,
2901,
2808,
30,
46506,
366,
15854,
2072,
1,
16034,
3084,
62,
2718,
33535,
33411,
366,
10430,
1,
796,
705,
73,
2062,
2808,
6
]
|
Find the name of all students who were in the tryout sorted in alphabetic order. | SELECT T1.pname FROM player AS T1 JOIN tryout AS T2 ON T1.pid = T2.pid ORDER BY T1.pname | [
16742,
262,
1438,
286,
477,
2444,
508,
547,
287,
262,
1949,
448,
23243,
287,
435,
746,
33312,
1502,
13,
46506,
309,
16,
13,
79,
3672,
16034,
2137,
7054,
309,
16,
32357,
1268,
1949,
448,
7054,
309,
17,
6177,
309,
16,
13,
35317,
796,
309,
17,
13,
35317,
38678,
11050,
309,
16,
13,
79,
3672
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1438,
286,
477,
2444,
508,
547,
287,
262,
1949,
448,
23243,
287,
435,
746,
33312,
1502,
13,
46506,
309,
16,
13,
79,
3672,
16034,
2137,
7054,
309,
16,
32357,
1268,
1949,
448,
7054,
309,
17,
6177,
309,
16,
13,
35317,
796,
309,
17,
13,
35317,
38678,
11050,
309,
16,
13,
79,
3672
]
|
What was the highest attendance when the Atlanta Falcons played for a week smaller than 10? | SELECT MAX("Attendance") FROM table_41966 WHERE "Opponent" = 'atlanta falcons' AND "Week" < '10' | [
2061,
373,
262,
4511,
14858,
618,
262,
9371,
21026,
2826,
329,
257,
1285,
4833,
621,
838,
30,
46506,
25882,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
19,
44227,
33411,
366,
27524,
3471,
1,
796,
705,
25864,
4910,
24215,
5936,
6,
5357,
366,
20916,
1,
1279,
705,
940,
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
]
| [
2061,
373,
262,
4511,
14858,
618,
262,
9371,
21026,
2826,
329,
257,
1285,
4833,
621,
838,
30,
46506,
25882,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
19,
44227,
33411,
366,
27524,
3471,
1,
796,
705,
25864,
4910,
24215,
5936,
6,
5357,
366,
20916,
1,
1279,
705,
940,
6
]
|
What is the total number of rounds for the player of Rell Tipton? | SELECT COUNT(round) FROM table_name_58 WHERE player = "rell tipton" | [
2061,
318,
262,
2472,
1271,
286,
9196,
329,
262,
2137,
286,
371,
695,
309,
10257,
261,
30,
46506,
327,
28270,
7,
744,
8,
16034,
3084,
62,
3672,
62,
3365,
33411,
2137,
796,
366,
11252,
256,
10257,
261,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9196,
329,
262,
2137,
286,
371,
695,
309,
10257,
261,
30,
46506,
327,
28270,
7,
744,
8,
16034,
3084,
62,
3672,
62,
3365,
33411,
2137,
796,
366,
11252,
256,
10257,
261,
1
]
|
How many Australians were in the UN commission on Korea? | SELECT COUNT("Number of Australians involved") FROM table_15938 WHERE "UN Operation title" = 'UN Commission on Korea' | [
2437,
867,
24933,
547,
287,
262,
4725,
5810,
319,
4969,
30,
46506,
327,
28270,
7203,
15057,
286,
24933,
2950,
4943,
16034,
3084,
62,
19707,
2548,
33411,
366,
4944,
14680,
3670,
1,
796,
705,
4944,
4513,
319,
4969,
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
]
| [
2437,
867,
24933,
547,
287,
262,
4725,
5810,
319,
4969,
30,
46506,
327,
28270,
7203,
15057,
286,
24933,
2950,
4943,
16034,
3084,
62,
19707,
2548,
33411,
366,
4944,
14680,
3670,
1,
796,
705,
4944,
4513,
319,
4969,
6
]
|
How many patients diagnosed with primary disease left internal jugular vein thrombosis; left arm edema stayed in the hospital for more than 29 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA" AND demographic.days_stay > "29" | [
2437,
867,
3871,
14641,
351,
4165,
4369,
1364,
5387,
45808,
934,
27208,
294,
398,
65,
5958,
26,
1364,
3211,
1225,
19687,
9658,
287,
262,
4436,
329,
517,
621,
2808,
1528,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5958,
796,
366,
2538,
9792,
23255,
45,
1847,
449,
7340,
37232,
569,
36,
1268,
2320,
33676,
33,
2640,
1797,
26,
2538,
9792,
20359,
8392,
27630,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
1959,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3871,
14641,
351,
4165,
4369,
1364,
5387,
45808,
934,
27208,
294,
398,
65,
5958,
26,
1364,
3211,
1225,
19687,
9658,
287,
262,
4436,
329,
517,
621,
2808,
1528,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
47356,
5958,
796,
366,
2538,
9792,
23255,
45,
1847,
449,
7340,
37232,
569,
36,
1268,
2320,
33676,
33,
2640,
1797,
26,
2538,
9792,
20359,
8392,
27630,
1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
1959,
1
]
|
Which Station has a Zone 2008 of 8, and a Zone 2007 of outside zones, and Services of london overground? | SELECT station FROM table_name_73 WHERE zone_2008 = "8" AND zone_2007 = "outside zones" AND services = "london overground" | [
13828,
9327,
468,
257,
13035,
3648,
286,
807,
11,
290,
257,
13035,
4343,
286,
2354,
14123,
11,
290,
6168,
286,
300,
3391,
625,
2833,
30,
46506,
4429,
16034,
3084,
62,
3672,
62,
4790,
33411,
6516,
62,
11528,
796,
366,
23,
1,
5357,
6516,
62,
12726,
796,
366,
43435,
14123,
1,
5357,
2594,
796,
366,
75,
3391,
625,
2833,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9327,
468,
257,
13035,
3648,
286,
807,
11,
290,
257,
13035,
4343,
286,
2354,
14123,
11,
290,
6168,
286,
300,
3391,
625,
2833,
30,
46506,
4429,
16034,
3084,
62,
3672,
62,
4790,
33411,
6516,
62,
11528,
796,
366,
23,
1,
5357,
6516,
62,
12726,
796,
366,
43435,
14123,
1,
5357,
2594,
796,
366,
75,
3391,
625,
2833,
1
]
|
What week has a Date of October 4, 1992? | SELECT SUM(week) FROM table_name_78 WHERE date = "october 4, 1992" | [
2061,
1285,
468,
257,
7536,
286,
3267,
604,
11,
9768,
30,
46506,
35683,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
3695,
33411,
3128,
796,
366,
38441,
2023,
604,
11,
9768,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
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,
1285,
468,
257,
7536,
286,
3267,
604,
11,
9768,
30,
46506,
35683,
7,
10464,
8,
16034,
3084,
62,
3672,
62,
3695,
33411,
3128,
796,
366,
38441,
2023,
604,
11,
9768,
1
]
|
Which Tournament has a Partner of karel nov ek? | SELECT "Tournament" FROM table_6738 WHERE "Partner" = 'karel nováček' | [
13828,
9595,
468,
257,
35532,
286,
479,
20318,
645,
85,
304,
74,
30,
46506,
366,
51,
5138,
1,
16034,
3084,
62,
3134,
2548,
33411,
366,
7841,
1008,
1,
796,
705,
74,
20318,
645,
85,
6557,
46195,
988,
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
]
| [
13828,
9595,
468,
257,
35532,
286,
479,
20318,
645,
85,
304,
74,
30,
46506,
366,
51,
5138,
1,
16034,
3084,
62,
3134,
2548,
33411,
366,
7841,
1008,
1,
796,
705,
74,
20318,
645,
85,
6557,
46195,
988,
6
]
|
Name the Time of broadcast has a Picture format of 4:3, and Hours of 20:30, and Days of the week of monday, wednesday, friday? | SELECT "Time of broadcast" FROM table_45923 WHERE "Picture format" = '4:3' AND "Hours" = '20:30' AND "Days of the week" = 'monday, wednesday, friday' | [
5376,
262,
3862,
286,
7025,
468,
257,
17741,
5794,
286,
604,
25,
18,
11,
290,
19347,
286,
1160,
25,
1270,
11,
290,
12579,
286,
262,
1285,
286,
285,
3204,
11,
29445,
3462,
11,
1216,
2567,
30,
46506,
366,
7575,
286,
7025,
1,
16034,
3084,
62,
33459,
1954,
33411,
366,
28070,
5794,
1,
796,
705,
19,
25,
18,
6,
5357,
366,
39792,
1,
796,
705,
1238,
25,
1270,
6,
5357,
366,
38770,
286,
262,
1285,
1,
796,
705,
76,
3204,
11,
29445,
3462,
11,
1216,
2567,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
5376,
262,
3862,
286,
7025,
468,
257,
17741,
5794,
286,
604,
25,
18,
11,
290,
19347,
286,
1160,
25,
1270,
11,
290,
12579,
286,
262,
1285,
286,
285,
3204,
11,
29445,
3462,
11,
1216,
2567,
30,
46506,
366,
7575,
286,
7025,
1,
16034,
3084,
62,
33459,
1954,
33411,
366,
28070,
5794,
1,
796,
705,
19,
25,
18,
6,
5357,
366,
39792,
1,
796,
705,
1238,
25,
1270,
6,
5357,
366,
38770,
286,
262,
1285,
1,
796,
705,
76,
3204,
11,
29445,
3462,
11,
1216,
2567,
6
]
|
What is the highest pick for the position of defensive end? | SELECT MAX(pick) FROM table_name_15 WHERE position = "defensive end" | [
2061,
318,
262,
4511,
2298,
329,
262,
2292,
286,
6110,
886,
30,
46506,
25882,
7,
27729,
8,
16034,
3084,
62,
3672,
62,
1314,
33411,
2292,
796,
366,
4299,
2021,
886,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
4511,
2298,
329,
262,
2292,
286,
6110,
886,
30,
46506,
25882,
7,
27729,
8,
16034,
3084,
62,
3672,
62,
1314,
33411,
2292,
796,
366,
4299,
2021,
886,
1
]
|
EECS 487 and EECS 521 , which one is easier ? | SELECT DISTINCT course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (course.number = 487 OR course.number = 521) AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE (COURSEalias1.number = 487 OR COURSEalias1.number = 521) AND COURSEalias1.department = 'EECS') | [
36,
2943,
50,
4764,
22,
290,
412,
2943,
50,
642,
2481,
837,
543,
530,
318,
4577,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
17618,
16034,
1781,
3268,
21479,
32357,
1268,
1430,
62,
17319,
6177,
1430,
62,
17319,
13,
17319,
62,
312,
796,
1781,
13,
17319,
62,
312,
33411,
357,
17319,
13,
17618,
796,
4764,
22,
6375,
1781,
13,
17618,
796,
642,
2481,
8,
5357,
1430,
62,
17319,
13,
1818,
2220,
796,
357,
46506,
20625,
7,
4805,
7730,
24115,
62,
34,
11698,
5188,
26011,
16,
13,
1818,
2220,
8,
16034,
1430,
62,
17319,
7054,
46805,
62,
34,
11698,
5188,
26011
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
36,
2943,
50,
4764,
22,
290,
412,
2943,
50,
642,
2481,
837,
543,
530,
318,
4577,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
17618,
16034,
1781,
3268,
21479,
32357,
1268,
1430,
62,
17319,
6177,
1430,
62,
17319,
13,
17319,
62,
312,
796,
1781,
13,
17319,
62,
312,
33411,
357,
17319,
13,
17618,
796,
4764,
22,
6375,
1781,
13,
17618,
796,
642,
2481,
8,
5357,
1430,
62,
17319,
13,
1818,
2220,
796,
357,
46506,
20625,
7,
4805,
7730,
24115,
62,
34,
11698,
5188,
26011,
16,
13,
1818,
2220,
8,
16034,
1430,
62,
17319,
7054,
46805,
62,
34,
11698,
5188,
26011
]
|
count the number of patients who are dead after being diagnosed with pneumothorax during the same month the last year. | SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'pneumothorax') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE DATETIME(t2.diagnosistime, 'start of month') = DATETIME(t3.hospitaldischargetime, 'start of month') | [
9127,
262,
1271,
286,
3871,
508,
389,
2636,
706,
852,
14641,
351,
29631,
849,
273,
897,
1141,
262,
976,
1227,
262,
938,
614,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
17,
13,
403,
1557,
538,
312,
8,
16034,
357,
46506,
256,
16,
13,
403,
1557,
538,
312,
11,
256,
16,
13,
47356,
418,
396,
524,
16034,
357,
46506,
5827,
13,
403,
1557,
538,
312,
11,
13669,
13,
47356,
418,
396,
524,
16034,
13669,
32357,
1268,
5827,
6177,
13669,
13,
26029,
20850,
31712,
312,
796,
5827,
13,
26029,
20850,
31712,
312,
33411,
13669,
13,
47356,
5958,
3672,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
9127,
262,
1271,
286,
3871,
508,
389,
2636,
706,
852,
14641,
351,
29631,
849,
273,
897,
1141,
262,
976,
1227,
262,
938,
614,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
256,
17,
13,
403,
1557,
538,
312,
8,
16034,
357,
46506,
256,
16,
13,
403,
1557,
538,
312,
11,
256,
16,
13,
47356,
418,
396,
524,
16034,
357,
46506,
5827,
13,
403,
1557,
538,
312,
11,
13669,
13,
47356,
418,
396,
524,
16034,
13669,
32357,
1268,
5827,
6177,
13669,
13,
26029,
20850,
31712,
312,
796,
5827,
13,
26029,
20850,
31712,
312,
33411,
13669,
13,
47356,
5958,
3672,
796
]
|
Which player played the years for Jazz in 1995-2000, 2004-05 | SELECT player FROM table_11545282_5 WHERE years_for_jazz = "1995-2000, 2004-05" | [
13828,
2137,
2826,
262,
812,
329,
21406,
287,
8735,
12,
11024,
11,
5472,
12,
2713,
46506,
2137,
16034,
3084,
62,
15363,
2231,
32568,
62,
20,
33411,
812,
62,
1640,
62,
73,
8101,
796,
366,
21908,
12,
11024,
11,
5472,
12,
2713,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
13828,
2137,
2826,
262,
812,
329,
21406,
287,
8735,
12,
11024,
11,
5472,
12,
2713,
46506,
2137,
16034,
3084,
62,
15363,
2231,
32568,
62,
20,
33411,
812,
62,
1640,
62,
73,
8101,
796,
366,
21908,
12,
11024,
11,
5472,
12,
2713,
1
]
|
What is the name of the dead end type ranked 22? | SELECT name FROM table_name_42 WHERE type = "dead end" AND rank = "22" | [
2061,
318,
262,
1438,
286,
262,
2636,
886,
2099,
10307,
2534,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
3682,
33411,
2099,
796,
366,
25124,
886,
1,
5357,
4279,
796,
366,
1828,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2636,
886,
2099,
10307,
2534,
30,
46506,
1438,
16034,
3084,
62,
3672,
62,
3682,
33411,
2099,
796,
366,
25124,
886,
1,
5357,
4279,
796,
366,
1828,
1
]
|
count the number of newborns under government insurance. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.insurance = "Government" | [
9127,
262,
1271,
286,
23856,
82,
739,
1230,
5096,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
13965,
33,
30649,
1,
5357,
16728,
13,
1040,
3874,
796,
366,
28848,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23856,
82,
739,
1230,
5096,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
4906,
796,
366,
13965,
33,
30649,
1,
5357,
16728,
13,
1040,
3874,
796,
366,
28848,
1
]
|
Name the number of clock rate mhz when bandwidth mb/s is 2400 | SELECT COUNT(clock_rate__mhz_) FROM table_142573_1 WHERE bandwidth__mb_s_ = 2400 | [
5376,
262,
1271,
286,
8801,
2494,
285,
32179,
618,
19484,
285,
65,
14,
82,
318,
48548,
46506,
327,
28270,
7,
15750,
62,
4873,
834,
76,
32179,
62,
8,
16034,
3084,
62,
1415,
1495,
4790,
62,
16,
33411,
19484,
834,
2022,
62,
82,
62,
796,
48548
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
5376,
262,
1271,
286,
8801,
2494,
285,
32179,
618,
19484,
285,
65,
14,
82,
318,
48548,
46506,
327,
28270,
7,
15750,
62,
4873,
834,
76,
32179,
62,
8,
16034,
3084,
62,
1415,
1495,
4790,
62,
16,
33411,
19484,
834,
2022,
62,
82,
62,
796,
48548
]
|
Who constructed Aguri Suzuki's car? | SELECT "Constructor" FROM table_11980 WHERE "Driver" = 'aguri suzuki' | [
8241,
12006,
2449,
9900,
35807,
338,
1097,
30,
46506,
366,
42316,
273,
1,
16034,
3084,
62,
16315,
1795,
33411,
366,
32103,
1,
796,
705,
363,
9900,
424,
89,
11308,
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
]
| [
8241,
12006,
2449,
9900,
35807,
338,
1097,
30,
46506,
366,
42316,
273,
1,
16034,
3084,
62,
16315,
1795,
33411,
366,
32103,
1,
796,
705,
363,
9900,
424,
89,
11308,
6
]
|
What is the mid-2010 to mid-2011 change where the July 1, 2011 density is 508? | SELECT "Mid-2010 to mid-2011 change (%)" FROM table_59596 WHERE "July 1, 2011 density (/mi\u00b2)" = '508' | [
2061,
318,
262,
3095,
12,
10333,
284,
3095,
12,
9804,
1487,
810,
262,
2901,
352,
11,
2813,
12109,
318,
2026,
23,
30,
46506,
366,
22622,
12,
10333,
284,
3095,
12,
9804,
1487,
11509,
1,
16034,
3084,
62,
3270,
45734,
33411,
366,
16157,
352,
11,
2813,
12109,
50247,
11632,
59,
84,
405,
65,
17,
16725,
796,
705,
33042,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
318,
262,
3095,
12,
10333,
284,
3095,
12,
9804,
1487,
810,
262,
2901,
352,
11,
2813,
12109,
318,
2026,
23,
30,
46506,
366,
22622,
12,
10333,
284,
3095,
12,
9804,
1487,
11509,
1,
16034,
3084,
62,
3270,
45734,
33411,
366,
16157,
352,
11,
2813,
12109,
50247,
11632,
59,
84,
405,
65,
17,
16725,
796,
705,
33042,
6
]
|
What is the highest channel number? | SELECT MAX(channel_number) FROM table_27871460_2 | [
2061,
318,
262,
4511,
6518,
1271,
30,
46506,
25882,
7,
17620,
62,
17618,
8,
16034,
3084,
62,
1983,
5774,
1415,
1899,
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
]
| [
2061,
318,
262,
4511,
6518,
1271,
30,
46506,
25882,
7,
17620,
62,
17618,
8,
16034,
3084,
62,
1983,
5774,
1415,
1899,
62,
17
]
|
What is moorabbin oval's away team? | SELECT away_team FROM table_name_11 WHERE venue = "moorabbin oval" | [
2061,
318,
285,
2675,
6485,
259,
41186,
338,
1497,
1074,
30,
46506,
1497,
62,
15097,
16034,
3084,
62,
3672,
62,
1157,
33411,
14359,
796,
366,
76,
2675,
6485,
259,
41186,
1
]
| [
1,
1,
1,
1,
1,
1,
1,
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,
285,
2675,
6485,
259,
41186,
338,
1497,
1074,
30,
46506,
1497,
62,
15097,
16034,
3084,
62,
3672,
62,
1157,
33411,
14359,
796,
366,
76,
2675,
6485,
259,
41186,
1
]
|
With the date of October 28, 1962, and the week greater than 4, what was the lowest attendance? | SELECT MIN("Attendance") FROM table_7136 WHERE "Week" > '4' AND "Date" = 'october 28, 1962' | [
3152,
262,
3128,
286,
3267,
2579,
11,
20033,
11,
290,
262,
1285,
3744,
621,
604,
11,
644,
373,
262,
9016,
14858,
30,
46506,
20625,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
22,
20809,
33411,
366,
20916,
1,
1875,
705,
19,
6,
5357,
366,
10430,
1,
796,
705,
38441,
2023,
2579,
11,
20033,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
3152,
262,
3128,
286,
3267,
2579,
11,
20033,
11,
290,
262,
1285,
3744,
621,
604,
11,
644,
373,
262,
9016,
14858,
30,
46506,
20625,
7203,
8086,
437,
590,
4943,
16034,
3084,
62,
22,
20809,
33411,
366,
20916,
1,
1875,
705,
19,
6,
5357,
366,
10430,
1,
796,
705,
38441,
2023,
2579,
11,
20033,
6
]
|
What is the record when the game was at the San Diego Stadium? | SELECT "Record" FROM table_1783 WHERE "Game site" = 'San Diego Stadium' | [
2061,
318,
262,
1700,
618,
262,
983,
373,
379,
262,
2986,
9500,
10499,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
1558,
5999,
33411,
366,
8777,
2524,
1,
796,
705,
15017,
9500,
10499,
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,
1700,
618,
262,
983,
373,
379,
262,
2986,
9500,
10499,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
1558,
5999,
33411,
366,
8777,
2524,
1,
796,
705,
15017,
9500,
10499,
6
]
|
In CS-LSA courses can I see the hardness ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course, program, program_course WHERE program_course.course_id = course.course_id AND program.name LIKE 'CS-LSA' AND program.program_id = program_course.program_id | [
818,
9429,
12,
43,
4090,
10902,
460,
314,
766,
262,
49604,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
1430,
62,
17319,
13,
1818,
2220,
16034,
1781,
11,
1430,
11,
1430,
62,
17319,
33411,
1430,
62,
17319,
13,
17319,
62,
312,
796,
1781,
13,
17319,
62,
312,
5357,
1430,
13,
3672,
34178,
705,
7902,
12,
43,
4090,
6,
5357,
1430,
13,
23065,
62,
312,
796,
1430,
62,
17319,
13,
23065,
62,
312
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
818,
9429,
12,
43,
4090,
10902,
460,
314,
766,
262,
49604,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
11,
1430,
62,
17319,
13,
1818,
2220,
16034,
1781,
11,
1430,
11,
1430,
62,
17319,
33411,
1430,
62,
17319,
13,
17319,
62,
312,
796,
1781,
13,
17319,
62,
312,
5357,
1430,
13,
3672,
34178,
705,
7902,
12,
43,
4090,
6,
5357,
1430,
13,
23065,
62,
312,
796,
1430,
62,
17319,
13,
23065,
62,
312
]
|
Top user with no answers. | WITH users_cte AS (SELECT u.Id AS UserId, SUM(CASE WHEN p.PostTypeId = 1 THEN p.Score ELSE 0 END) AS QScore, SUM(CASE WHEN p.PostTypeId = 1 THEN 1 ELSE 0 END) AS QCount, SUM(CASE WHEN p.PostTypeId = 2 THEN p.Score ELSE 0 END) AS AScore, SUM(CASE WHEN p.PostTypeId = 2 THEN 1 ELSE 0 END) AS ACount FROM Users AS u INNER JOIN Posts AS p ON p.OwnerUserId = u.Id GROUP BY u.Id) SELECT UserId AS "user_link", QScore AS "question_score", QCount AS "question_count", AScore AS "answer_score", ACount AS "answer_count" FROM users_cte WHERE ACount = 0 ORDER BY QScore DESC LIMIT 100 | [
9126,
2836,
351,
645,
7429,
13,
54,
10554,
2985,
62,
310,
68,
7054,
357,
46506,
334,
13,
7390,
7054,
11787,
7390,
11,
35683,
7,
34,
11159,
42099,
279,
13,
6307,
6030,
7390,
796,
352,
42243,
279,
13,
26595,
17852,
5188,
657,
23578,
8,
7054,
1195,
26595,
11,
35683,
7,
34,
11159,
42099,
279,
13,
6307,
6030,
7390,
796,
352,
42243,
352,
17852,
5188,
657,
23578,
8,
7054,
1195,
12332,
11,
35683,
7,
34,
11159,
42099,
279,
13,
6307,
6030,
7390,
796,
362,
42243,
279,
13,
26595,
17852,
5188,
657,
23578,
8,
7054,
317,
26595,
11,
35683,
7,
34,
11159,
42099
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2836,
351,
645,
7429,
13,
54,
10554,
2985,
62,
310,
68,
7054,
357,
46506,
334,
13,
7390,
7054,
11787,
7390,
11,
35683,
7,
34,
11159,
42099,
279,
13,
6307,
6030,
7390,
796,
352,
42243,
279,
13,
26595,
17852,
5188,
657,
23578,
8,
7054,
1195,
26595,
11,
35683,
7,
34,
11159,
42099,
279,
13,
6307,
6030,
7390,
796,
352,
42243,
352,
17852,
5188,
657,
23578,
8,
7054,
1195,
12332,
11,
35683,
7,
34,
11159,
42099,
279,
13,
6307,
6030,
7390,
796,
362,
42243,
279,
13,
26595,
17852,
5188,
657,
23578,
8,
7054,
317,
26595,
11,
35683,
7,
34,
11159,
42099
]
|
How many silver for the team with more than 2 bronze and more than 7 gold? | SELECT COUNT("Silver") FROM table_50472 WHERE "Bronze" > '2' AND "Gold" > '7' | [
2437,
867,
8465,
329,
262,
1074,
351,
517,
621,
362,
22101,
290,
517,
621,
767,
3869,
30,
46506,
327,
28270,
7203,
26766,
4943,
16034,
3084,
62,
1120,
37856,
33411,
366,
18760,
2736,
1,
1875,
705,
17,
6,
5357,
366,
13306,
1,
1875,
705,
22,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2437,
867,
8465,
329,
262,
1074,
351,
517,
621,
362,
22101,
290,
517,
621,
767,
3869,
30,
46506,
327,
28270,
7203,
26766,
4943,
16034,
3084,
62,
1120,
37856,
33411,
366,
18760,
2736,
1,
1875,
705,
17,
6,
5357,
366,
13306,
1,
1875,
705,
22,
6
]
|
i need flight numbers for those flights departing on thursday before 800 from OAKLAND going to SALT LAKE CITY | SELECT DISTINCT flight_id FROM flight WHERE (((departure_time < 800 AND flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 24 AND DATE_DAYalias0.month_number = 5 AND DATE_DAYalias0.year = 1991))) AND to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'SALT LAKE CITY'))) AND from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'OAKLAND'))) | [
72,
761,
5474,
3146,
329,
883,
13956,
37717,
319,
294,
3479,
878,
10460,
422,
440,
10206,
28182,
1016,
284,
311,
31429,
9131,
7336,
27993,
46506,
360,
8808,
1268,
4177,
5474,
62,
312,
16034,
5474,
33411,
14808,
7,
10378,
433,
495,
62,
2435,
1279,
10460,
5357,
5474,
62,
12545,
3268,
357,
46506,
24644,
19221,
4448,
15,
13,
12545,
62,
8189,
16034,
1528,
7054,
24644,
19221,
4448,
15,
33411,
24644,
19221,
4448,
15,
13,
820,
62,
3672,
3268,
357,
46506,
360,
6158,
62,
26442,
26011,
15,
13,
820,
62,
3672,
16034,
3128,
62,
820,
7054,
360,
6158,
62,
26442,
26011,
15,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
72,
761,
5474,
3146,
329,
883,
13956,
37717,
319,
294,
3479,
878,
10460,
422,
440,
10206,
28182,
1016,
284,
311,
31429,
9131,
7336,
27993,
46506,
360,
8808,
1268,
4177,
5474,
62,
312,
16034,
5474,
33411,
14808,
7,
10378,
433,
495,
62,
2435,
1279,
10460,
5357,
5474,
62,
12545,
3268,
357,
46506,
24644,
19221,
4448,
15,
13,
12545,
62,
8189,
16034,
1528,
7054,
24644,
19221,
4448,
15,
33411,
24644,
19221,
4448,
15,
13,
820,
62,
3672,
3268,
357,
46506,
360,
6158,
62,
26442,
26011,
15,
13,
820,
62,
3672,
16034,
3128,
62,
820,
7054,
360,
6158,
62,
26442,
26011,
15,
33411
]
|
Name the swuinsuit for oregon | SELECT swimsuit FROM table_17516967_1 WHERE state = "Oregon" | [
5376,
262,
1509,
84,
1040,
5013,
329,
267,
8285,
46506,
9422,
6063,
16034,
3084,
62,
17430,
22172,
3134,
62,
16,
33411,
1181,
796,
366,
41243,
1
]
| [
1,
1,
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,
1509,
84,
1040,
5013,
329,
267,
8285,
46506,
9422,
6063,
16034,
3084,
62,
17430,
22172,
3134,
62,
16,
33411,
1181,
796,
366,
41243,
1
]
|
how many stations are from canton ? | SELECT COUNT(*) FROM table_204_793 WHERE "location" = 'canton' | [
4919,
867,
8985,
389,
422,
18548,
261,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
44750,
33411,
366,
24886,
1,
796,
705,
66,
23026,
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
]
| [
4919,
867,
8985,
389,
422,
18548,
261,
5633,
46506,
327,
28270,
7,
28104,
16034,
3084,
62,
18638,
62,
44750,
33411,
366,
24886,
1,
796,
705,
66,
23026,
6
]
|
Popular Questions With specific Tag and unpopular Answers. | SELECT p.Id AS "post_link", p.Title FROM Posts AS p INNER JOIN PostTags AS pt ON p.Id = Pt.PostId INNER JOIN Tags AS t ON pt.TagId = t.Id WHERE t.TagName = LOWER('##Topic##') AND p.PostTypeId = 1 LIMIT 10 | [
16979,
934,
20396,
2080,
2176,
17467,
290,
24166,
42612,
13,
46506,
279,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
279,
13,
19160,
16034,
12043,
7054,
279,
3268,
21479,
32357,
1268,
2947,
36142,
7054,
42975,
6177,
279,
13,
7390,
796,
34352,
13,
6307,
7390,
3268,
21479,
32357,
1268,
44789,
7054,
256,
6177,
42975,
13,
24835,
7390,
796,
256,
13,
7390,
33411,
256,
13,
24835,
5376,
796,
406,
36048,
10786,
2235,
33221,
2235,
11537,
5357,
279,
13,
6307,
6030,
7390,
796,
352,
27564,
2043,
838
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
16979,
934,
20396,
2080,
2176,
17467,
290,
24166,
42612,
13,
46506,
279,
13,
7390,
7054,
366,
7353,
62,
8726,
1600,
279,
13,
19160,
16034,
12043,
7054,
279,
3268,
21479,
32357,
1268,
2947,
36142,
7054,
42975,
6177,
279,
13,
7390,
796,
34352,
13,
6307,
7390,
3268,
21479,
32357,
1268,
44789,
7054,
256,
6177,
42975,
13,
24835,
7390,
796,
256,
13,
7390,
33411,
256,
13,
24835,
5376,
796,
406,
36048,
10786,
2235,
33221,
2235,
11537,
5357,
279,
13,
6307,
6030,
7390,
796,
352,
27564,
2043,
838
]
|
Who was the home team at the game with a crowd larger than 32,576? | SELECT home_team AS score FROM table_name_20 WHERE crowd > 32 OFFSET 576 | [
8241,
373,
262,
1363,
1074,
379,
262,
983,
351,
257,
4315,
4025,
621,
3933,
11,
37452,
30,
46506,
1363,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
1238,
33411,
4315,
1875,
3933,
3963,
10652,
2767,
642,
4304
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1363,
1074,
379,
262,
983,
351,
257,
4315,
4025,
621,
3933,
11,
37452,
30,
46506,
1363,
62,
15097,
7054,
4776,
16034,
3084,
62,
3672,
62,
1238,
33411,
4315,
1875,
3933,
3963,
10652,
2767,
642,
4304
]
|
What is the average hexadecimal with a decimal less than 53, an octal less than 61, and a glyph greater than 0? | SELECT AVG(hexadecimal) FROM table_name_62 WHERE decimal < 53 AND octal < 61 AND glyph > 0 | [
2061,
318,
262,
2811,
17910,
671,
66,
4402,
351,
257,
32465,
1342,
621,
7192,
11,
281,
19318,
282,
1342,
621,
8454,
11,
290,
257,
25874,
3744,
621,
657,
30,
46506,
35224,
7,
33095,
671,
66,
4402,
8,
16034,
3084,
62,
3672,
62,
5237,
33411,
32465,
1279,
7192,
5357,
19318,
282,
1279,
8454,
5357,
25874,
1875,
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,
1,
1,
1,
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,
17910,
671,
66,
4402,
351,
257,
32465,
1342,
621,
7192,
11,
281,
19318,
282,
1342,
621,
8454,
11,
290,
257,
25874,
3744,
621,
657,
30,
46506,
35224,
7,
33095,
671,
66,
4402,
8,
16034,
3084,
62,
3672,
62,
5237,
33411,
32465,
1279,
7192,
5357,
19318,
282,
1279,
8454,
5357,
25874,
1875,
657
]
|
what state came in last in the evening gown competition ? | SELECT "state" FROM table_203_523 ORDER BY "evening gown" LIMIT 1 | [
10919,
1181,
1625,
287,
938,
287,
262,
6180,
33323,
5449,
5633,
46506,
366,
5219,
1,
16034,
3084,
62,
22416,
62,
49803,
38678,
11050,
366,
10197,
278,
33323,
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,
1,
1,
1,
1,
1,
1,
1
]
| [
10919,
1181,
1625,
287,
938,
287,
262,
6180,
33323,
5449,
5633,
46506,
366,
5219,
1,
16034,
3084,
62,
22416,
62,
49803,
38678,
11050,
366,
10197,
278,
33323,
1,
27564,
2043,
352
]
|
what is the grid when the time/retired is oil pressure and the laps are more than 50? | SELECT AVG(grid) FROM table_name_15 WHERE time_retired = "oil pressure" AND laps > 50 | [
10919,
318,
262,
10706,
618,
262,
640,
14,
1186,
1202,
318,
3056,
3833,
290,
262,
24590,
389,
517,
621,
2026,
30,
46506,
35224,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
1314,
33411,
640,
62,
1186,
1202,
796,
366,
9437,
3833,
1,
5357,
24590,
1875,
2026
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
10706,
618,
262,
640,
14,
1186,
1202,
318,
3056,
3833,
290,
262,
24590,
389,
517,
621,
2026,
30,
46506,
35224,
7,
25928,
8,
16034,
3084,
62,
3672,
62,
1314,
33411,
640,
62,
1186,
1202,
796,
366,
9437,
3833,
1,
5357,
24590,
1875,
2026
]
|
SO - Total Posts by Could Service Providers Per Month - Amazon. | SELECT CONCAT(YEAR(P.CreationDate), '-', MONTH(P.CreationDate)) AS YearMonth, 'Amazon' AS TagName, COUNT(*) AS PostCount FROM Posts AS P INNER JOIN PostTags AS PT ON (P.Id = PT.PostId) INNER JOIN Tags AS T ON (PT.TagId = T.Id) WHERE T.TagName LIKE 'amazon%' GROUP BY YEAR(P.CreationDate), MONTH(P.CreationDate) ORDER BY YEAR(P.CreationDate) DESC, MONTH(P.CreationDate) DESC | [
15821,
532,
7472,
12043,
416,
10347,
4809,
7518,
4157,
2448,
16061,
532,
6186,
13,
46506,
39962,
1404,
7,
56,
17133,
7,
47,
13,
12443,
341,
10430,
828,
705,
12,
3256,
25000,
4221,
7,
47,
13,
12443,
341,
10430,
4008,
7054,
6280,
31948,
11,
705,
24888,
6,
7054,
17467,
5376,
11,
327,
28270,
7,
28104,
7054,
2947,
12332,
16034,
12043,
7054,
350,
3268,
21479,
32357,
1268,
2947,
36142,
7054,
19310,
6177,
357,
47,
13,
7390,
796,
19310,
13,
6307,
7390,
8,
3268,
21479,
32357,
1268,
44789,
7054,
309,
6177,
357,
11571,
13,
24835,
7390,
796,
309,
13,
7390,
8,
33411,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
15821,
532,
7472,
12043,
416,
10347,
4809,
7518,
4157,
2448,
16061,
532,
6186,
13,
46506,
39962,
1404,
7,
56,
17133,
7,
47,
13,
12443,
341,
10430,
828,
705,
12,
3256,
25000,
4221,
7,
47,
13,
12443,
341,
10430,
4008,
7054,
6280,
31948,
11,
705,
24888,
6,
7054,
17467,
5376,
11,
327,
28270,
7,
28104,
7054,
2947,
12332,
16034,
12043,
7054,
350,
3268,
21479,
32357,
1268,
2947,
36142,
7054,
19310,
6177,
357,
47,
13,
7390,
796,
19310,
13,
6307,
7390,
8,
3268,
21479,
32357,
1268,
44789,
7054,
309,
6177,
357,
11571,
13,
24835,
7390,
796,
309,
13,
7390,
8,
33411,
309
]
|
In what district was keith ellison the incumbent? | SELECT "District" FROM table_27292 WHERE "Incumbent" = 'Keith Ellison' | [
818,
644,
4783,
373,
885,
342,
30004,
1653,
262,
23526,
30,
46506,
366,
44857,
1,
16034,
3084,
62,
1983,
32759,
33411,
366,
25517,
2178,
298,
1,
796,
705,
46868,
33601,
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
]
| [
818,
644,
4783,
373,
885,
342,
30004,
1653,
262,
23526,
30,
46506,
366,
44857,
1,
16034,
3084,
62,
1983,
32759,
33411,
366,
25517,
2178,
298,
1,
796,
705,
46868,
33601,
6
]
|
What is the lecture time for THEORY 433 next semester ? | SELECT DISTINCT course_offering.start_time FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'THEORY' AND course.number = 433 AND semester.semester = 'FA' AND semester.year = 2016 | [
2061,
318,
262,
19143,
640,
329,
3336,
15513,
47407,
1306,
24878,
5633,
46506,
360,
8808,
1268,
4177,
1781,
62,
2364,
1586,
13,
9688,
62,
2435,
16034,
1781,
3268,
21479,
32357,
1268,
1430,
62,
17319,
6177,
1430,
62,
17319,
13,
17319,
62,
312,
796,
1781,
13,
17319,
62,
312,
3268,
21479,
32357,
1268,
1781,
62,
2364,
1586,
6177,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
3268,
21479,
32357,
1268,
24878,
6177,
24878,
13,
325,
6880,
353,
62,
312,
796,
1781,
62,
2364,
1586,
13,
325,
6880,
353,
33411,
1781,
13,
10378,
1823,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19143,
640,
329,
3336,
15513,
47407,
1306,
24878,
5633,
46506,
360,
8808,
1268,
4177,
1781,
62,
2364,
1586,
13,
9688,
62,
2435,
16034,
1781,
3268,
21479,
32357,
1268,
1430,
62,
17319,
6177,
1430,
62,
17319,
13,
17319,
62,
312,
796,
1781,
13,
17319,
62,
312,
3268,
21479,
32357,
1268,
1781,
62,
2364,
1586,
6177,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
3268,
21479,
32357,
1268,
24878,
6177,
24878,
13,
325,
6880,
353,
62,
312,
796,
1781,
62,
2364,
1586,
13,
325,
6880,
353,
33411,
1781,
13,
10378,
1823,
796,
705
]
|
What was the highest Top-10, when the Top-5 was greater than 3, when the Cuts made were 20, and when the Top-25 was more than 10? | SELECT MAX("Top-10") FROM table_6889 WHERE "Top-5" > '3' AND "Cuts made" = '20' AND "Top-25" > '10' | [
2061,
373,
262,
4511,
5849,
12,
940,
11,
618,
262,
5849,
12,
20,
373,
3744,
621,
513,
11,
618,
262,
327,
5500,
925,
547,
1160,
11,
290,
618,
262,
5849,
12,
1495,
373,
517,
621,
838,
30,
46506,
25882,
7203,
9126,
12,
940,
4943,
16034,
3084,
62,
3104,
4531,
33411,
366,
9126,
12,
20,
1,
1875,
705,
18,
6,
5357,
366,
34,
5500,
925,
1,
796,
705,
1238,
6,
5357,
366,
9126,
12,
1495,
1,
1875,
705,
940,
6
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
2061,
373,
262,
4511,
5849,
12,
940,
11,
618,
262,
5849,
12,
20,
373,
3744,
621,
513,
11,
618,
262,
327,
5500,
925,
547,
1160,
11,
290,
618,
262,
5849,
12,
1495,
373,
517,
621,
838,
30,
46506,
25882,
7203,
9126,
12,
940,
4943,
16034,
3084,
62,
3104,
4531,
33411,
366,
9126,
12,
20,
1,
1875,
705,
18,
6,
5357,
366,
34,
5500,
925,
1,
796,
705,
1238,
6,
5357,
366,
9126,
12,
1495,
1,
1875,
705,
940,
6
]
|
when first patient 10765 was discharged from the hospital? | SELECT admissions.dischtime FROM admissions WHERE admissions.subject_id = 10765 ORDER BY admissions.dischtime LIMIT 1 | [
12518,
717,
5827,
16226,
2996,
373,
26476,
422,
262,
4436,
30,
46506,
25349,
13,
6381,
354,
2435,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
16226,
2996,
38678,
11050,
25349,
13,
6381,
354,
2435,
27564,
2043,
352
]
| [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
]
| [
12518,
717,
5827,
16226,
2996,
373,
26476,
422,
262,
4436,
30,
46506,
25349,
13,
6381,
354,
2435,
16034,
25349,
33411,
25349,
13,
32796,
62,
312,
796,
16226,
2996,
38678,
11050,
25349,
13,
6381,
354,
2435,
27564,
2043,
352
]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.