instruction
stringlengths 0
1.06k
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3.61k
| input_ids
list | attention_mask
list | labels
list |
---|---|---|---|---|
what is the average number of gold medals won by the top 5 nations ?
|
SELECT AVG("gold") FROM table_204_595 WHERE "rank" <= 5
|
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1,
19841,
642
] |
For those employees who do not work in departments with managers that have ids between 100 and 200, find phone_number and department_id , and visualize them by a bar chart, I want to show in desc by the x axis.
|
SELECT PHONE_NUMBER, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER DESC
|
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] |
i'm curious as to how many hours have passed since patient 12726's first intake of lipids 20% on the current icu visit?
|
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', inputevents_cv.charttime)) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12726) AND icustays.outtime IS NULL) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'lipids 20%' AND d_items.linksto = 'inputevents_cv') ORDER BY inputevents_cv.charttime LIMIT 1
|
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How many times was the record 19 34
|
SELECT COUNT(score) FROM table_23248869_8 WHERE record = "19–34"
|
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What venue featured the home side scoring 10.17 (77)?
|
SELECT "Venue" FROM table_32645 WHERE "Home team score" = '10.17 (77)'
|
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What is the title of ISBN 1-84990-243-7?
|
SELECT title FROM table_2950964_1 WHERE isbn = "isbn 1-84990-243-7"
|
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Which name has a distance for 1st as 117.5?
|
SELECT "Name" FROM table_39434 WHERE "1st (m)" = '117.5'
|
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What is the snatch for the Clean & jerk of 145.0, and a Bodyweight larger than 76.22?
|
SELECT AVG("Snatch") FROM table_53480 WHERE "Clean & jerk" = '145.0' AND "Bodyweight" > '76.22'
|
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R questions and answers per year. How many questions per month does each tag in the top 10 tags get
|
SELECT Month, COUNT(*) FROM (SELECT Id, DATEADD(YEAR, DATEDIFF(YEAR, 0, CreationDate), 0) AS "month" FROM Posts JOIN PostTags ON PostId = Id WHERE PostTypeId IN (1, 2) AND TagId = 4452) AS tmp GROUP BY Month ORDER BY Month
|
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What was Tom Kite's to par?
|
SELECT "To par" FROM table_8193 WHERE "Player" = 'tom kite'
|
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Who directed the episode aired on February 27, 2009?
|
SELECT "Directed by" FROM table_22316 WHERE "U.S. air date" = 'February 27, 2009'
|
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What shows for 1992 when 1988 is A, at the Australian Open?
|
SELECT 1992 FROM table_name_43 WHERE 1988 = "a" AND tournament = "australian open"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of last_name and salary in a bar chart, show by the total number in ascending.
|
SELECT LAST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY
|
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] |
What kind of Entrant has a Maserati Straight-6 Engine, built in the year 1958 or early, and has a Maserati 250f Chassis with points less than 4?
|
SELECT entrant FROM table_name_95 WHERE engine = "maserati straight-6" AND year < 1958 AND chassis = "maserati 250f" AND points < 4
|
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(fout) Average amount of answers per question.
|
SELECT Year = DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0), Average_answers_per_question = SUM(CASE WHEN PostTypeId = 2 THEN 1 ELSE 0 END) / CAST(SUM(CASE WHEN PostTypeId = 1 THEN 1 ELSE 0 END) AS FLOAT) FROM Posts GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) ORDER BY DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0)
|
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In which country is the city of Netanya?
|
SELECT country FROM table_14937957_1 WHERE city = "Netanya"
|
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What is the total when the Hindu is greater than 1,076, in the Jawa Barat province?
|
SELECT COUNT("Total") FROM table_46859 WHERE "Hindu" > '1,076' AND "Province" = 'jawa barat'
|
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] |
Return a histogram on what is the total credit does each department offer?
|
SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE
|
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what round saw the ground of telstra dome and shaun burgoyne as nominees?
|
SELECT MAX("Round") FROM table_51245 WHERE "Ground" = 'telstra dome' AND "Nominees" = 'shaun burgoyne'
|
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] |
provide the number of patients whose gender is f and diagnoses short title is infectious mononucleosis?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Infectious mononucleosis"
|
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] |
Which country is Jim Les from?
|
SELECT nationality FROM table_11545282_12 WHERE player = "Jim Les"
|
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] |
What position did Gene Stahl play
|
SELECT position FROM table_16441561_5 WHERE player = "Gene Stahl"
|
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] |
what were the differences in arterial bp [systolic] of patient 28443 last measured on the current intensive care unit visit compared to the value second to last measured on the current intensive care unit visit?
|
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 OFFSET 1)
|
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] |
What was the average Height (cm), for a player who had the Position, C, and whose 1995-96 team was the Buffalo Sabres, and whose Weight (kg) was less than 82?
|
SELECT AVG("Height (cm)") FROM table_40956 WHERE "Position" = 'c' AND "1995-96 team" = 'buffalo sabres' AND "Weight (kg)" < '82'
|
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30,
46506,
35224,
7203,
23106,
357,
11215,
8,
4943,
16034,
3084,
62,
1821,
50148,
33411,
366,
26545,
1,
796,
705,
66,
6,
5357,
366,
21908,
12,
4846,
1074,
1,
796,
705,
36873,
7335,
17463,
411,
6,
5357,
366,
25844,
357,
10025,
16725,
1279,
705,
6469,
6
] |
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1,
1,
1,
1,
1,
1
] |
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30,
46506,
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7203,
23106,
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11215,
8,
4943,
16034,
3084,
62,
1821,
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33411,
366,
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1,
796,
705,
66,
6,
5357,
366,
21908,
12,
4846,
1074,
1,
796,
705,
36873,
7335,
17463,
411,
6,
5357,
366,
25844,
357,
10025,
16725,
1279,
705,
6469,
6
] |
Plot a scatter chart, body builder id by people_id.
|
SELECT Body_Builder_ID, People_ID FROM body_builder
|
[
43328,
257,
41058,
8262,
11,
1767,
27098,
4686,
416,
661,
62,
312,
13,
46506,
12290,
62,
32875,
62,
2389,
11,
4380,
62,
2389,
16034,
1767,
62,
38272
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
43328,
257,
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8262,
11,
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27098,
4686,
416,
661,
62,
312,
13,
46506,
12290,
62,
32875,
62,
2389,
11,
4380,
62,
2389,
16034,
1767,
62,
38272
] |
What driver has points less than 17?
|
SELECT "Driver" FROM table_58994 WHERE "Points" < '17'
|
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2061,
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468,
2173,
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621,
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30,
46506,
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1,
16034,
3084,
62,
3365,
42691,
33411,
366,
40710,
1,
1279,
705,
1558,
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
] |
[
2061,
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1,
16034,
3084,
62,
3365,
42691,
33411,
366,
40710,
1,
1279,
705,
1558,
6
] |
What type of format was released after 1979?
|
SELECT release_format FROM table_name_48 WHERE release_date > 1979
|
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2061,
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286,
5794,
373,
2716,
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30,
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62,
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3084,
62,
3672,
62,
2780,
33411,
2650,
62,
4475,
1875,
13521
] |
[
1,
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,
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373,
2716,
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13521,
30,
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2650,
62,
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16034,
3084,
62,
3672,
62,
2780,
33411,
2650,
62,
4475,
1875,
13521
] |
What power plant was commissioned in 2008?
|
SELECT power_plant FROM table_name_97 WHERE year_of_commission = 2008
|
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2061,
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3672,
62,
5607,
33411,
614,
62,
1659,
62,
785,
3411,
796,
3648
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
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62,
3672,
62,
5607,
33411,
614,
62,
1659,
62,
785,
3411,
796,
3648
] |
What is Finalist, when Year is '2008'?
|
SELECT "Finalist" FROM table_60186 WHERE "Year" = '2008'
|
[
2061,
318,
8125,
396,
11,
618,
6280,
318,
705,
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1,
16034,
3084,
62,
41706,
4521,
33411,
366,
17688,
1,
796,
705,
11528,
6
] |
[
1,
1,
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1,
1,
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,
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396,
11,
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366,
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396,
1,
16034,
3084,
62,
41706,
4521,
33411,
366,
17688,
1,
796,
705,
11528,
6
] |
What is the elevator when the elector is Pietro Colonna?
|
SELECT elevator FROM table_name_77 WHERE elector = "pietro colonna"
|
[
2061,
318,
262,
20932,
618,
262,
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318,
36548,
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3084,
62,
3672,
62,
3324,
33411,
43191,
796,
366,
79,
1155,
305,
951,
6415,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
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,
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62,
3672,
62,
3324,
33411,
43191,
796,
366,
79,
1155,
305,
951,
6415,
1
] |
the number of times patient 030-77189 had had a digoxin procedure since 2102.
|
SELECT COUNT(*) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-77189')) AND treatment.treatmentname = 'digoxin' AND STRFTIME('%y', treatment.treatmenttime) >= '2102'
|
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1169,
1271,
286,
1661,
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23362,
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550,
257,
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39366,
8771,
1201,
362,
15377,
13,
46506,
327,
28270,
7,
28104,
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3513,
33411,
3513,
13,
26029,
20850,
31712,
312,
3268,
357,
46506,
5827,
13,
26029,
20850,
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16034,
5827,
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31712,
312,
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312,
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403,
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538,
312,
796,
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23362,
6,
4008,
5357,
3513,
13,
42487,
3672,
796,
705,
12894,
39366,
6,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
3513,
13,
42487,
2435,
8,
18189,
705,
17,
15377,
6
] |
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1,
1,
1,
1,
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1,
1,
1,
1,
1,
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1,
1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
1169,
1271,
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362,
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327,
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7,
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3513,
33411,
3513,
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20850,
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312,
3268,
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20850,
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403,
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538,
312,
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39101,
12,
3324,
23362,
6,
4008,
5357,
3513,
13,
42487,
3672,
796,
705,
12894,
39366,
6,
5357,
19269,
9792,
12789,
10786,
4,
88,
3256,
3513,
13,
42487,
2435,
8,
18189,
705,
17,
15377,
6
] |
For those employees who was hired before 2002-06-21, give me the comparison about the sum of department_id over the hire_date bin hire_date by weekday by a bar chart, sort sum department id in ascending order.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(DEPARTMENT_ID)
|
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1890,
883,
4409,
508,
373,
9657,
878,
6244,
12,
3312,
12,
2481,
11,
1577,
502,
262,
7208,
546,
262,
2160,
286,
5011,
62,
312,
625,
262,
11078,
62,
4475,
9874,
11078,
62,
4475,
416,
28269,
416,
257,
2318,
8262,
11,
3297,
2160,
5011,
4686,
287,
41988,
1502,
13,
46506,
36210,
2200,
62,
35,
6158,
11,
35683,
7,
7206,
30709,
10979,
62,
2389,
8,
16034,
4409,
33411,
36210,
2200,
62,
35,
6158,
1279,
705,
16942,
12,
3312,
12,
2481,
6,
38678,
11050,
35683,
7,
7206,
30709,
10979,
62,
2389,
8
] |
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1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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36210,
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62,
35,
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11,
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7,
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62,
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33411,
36210,
2200,
62,
35,
6158,
1279,
705,
16942,
12,
3312,
12,
2481,
6,
38678,
11050,
35683,
7,
7206,
30709,
10979,
62,
2389,
8
] |
how many high assbeingts with score being l 90 98 (ot)
|
SELECT COUNT("High assists") FROM table_18822 WHERE "Score" = 'L 90–98 (OT)'
|
[
4919,
867,
1029,
840,
11873,
912,
351,
4776,
852,
300,
4101,
9661,
357,
313,
8,
46506,
327,
28270,
7203,
11922,
13648,
4943,
16034,
3084,
62,
20356,
1828,
33411,
366,
26595,
1,
796,
705,
43,
4101,
1906,
4089,
357,
2394,
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
] |
[
4919,
867,
1029,
840,
11873,
912,
351,
4776,
852,
300,
4101,
9661,
357,
313,
8,
46506,
327,
28270,
7203,
11922,
13648,
4943,
16034,
3084,
62,
20356,
1828,
33411,
366,
26595,
1,
796,
705,
43,
4101,
1906,
4089,
357,
2394,
33047
] |
How many directors for #15?
|
SELECT COUNT(directed_by) FROM table_20942925_1 WHERE _number = 15
|
[
2437,
867,
13445,
329,
1303,
1314,
30,
46506,
327,
28270,
7,
34762,
62,
1525,
8,
16034,
3084,
62,
1238,
5824,
1959,
1495,
62,
16,
33411,
4808,
17618,
796,
1315
] |
[
1,
1,
1,
1,
1,
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,
13445,
329,
1303,
1314,
30,
46506,
327,
28270,
7,
34762,
62,
1525,
8,
16034,
3084,
62,
1238,
5824,
1959,
1495,
62,
16,
33411,
4808,
17618,
796,
1315
] |
What is the normal temperature of Abbotsford, British Columbia?
|
SELECT normal_temperature FROM table_name_8 WHERE city = "abbotsford, british columbia"
|
[
2061,
318,
262,
3487,
5951,
286,
2275,
42478,
3841,
11,
3517,
9309,
30,
46506,
3487,
62,
11498,
21069,
16034,
3084,
62,
3672,
62,
23,
33411,
1748,
796,
366,
6485,
1747,
3841,
11,
275,
799,
680,
951,
2178,
544,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3487,
5951,
286,
2275,
42478,
3841,
11,
3517,
9309,
30,
46506,
3487,
62,
11498,
21069,
16034,
3084,
62,
3672,
62,
23,
33411,
1748,
796,
366,
6485,
1747,
3841,
11,
275,
799,
680,
951,
2178,
544,
1
] |
For those employees who did not have any job in the past, show me about the distribution of hire_date and the sum of department_id bin hire_date by time in a bar chart, and I want to display from high to low by the y-axis.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(DEPARTMENT_ID) DESC
|
[
1890,
883,
4409,
508,
750,
407,
423,
597,
1693,
287,
262,
1613,
11,
905,
502,
546,
262,
6082,
286,
11078,
62,
4475,
290,
262,
2160,
286,
5011,
62,
312,
9874,
11078,
62,
4475,
416,
640,
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Questions per day of week.
|
SELECT TIME_TO_STR(CreationDate, '%W'), COUNT(1) FROM Posts WHERE PostTypeId = 1 GROUP BY TIME_TO_STR(CreationDate, '%W')
|
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What is the week 5 after Dani Dior as week 1?
|
SELECT week_5 FROM table_name_36 WHERE week_1 = "dani dior"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of first_name and salary in a bar chart, and order by the x-axis in desc.
|
SELECT FIRST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME DESC
|
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does US fly from WASHINGTON to DENVER
|
SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'US') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
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What's listed for the Turnout % with a Raila of 519,180?
|
SELECT "Turnout %" FROM table_35711 WHERE "Raila" = '519,180'
|
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What's the nickname of the school in Maryville, Tennessee?
|
SELECT nickname FROM table_1973842_2 WHERE location = "Maryville, Tennessee"
|
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Most Viewed With Less Than 3 Answers.
|
SELECT Score, Title, CreationDate, ViewCount, AnswerCount, Tags, AcceptedAnswerId FROM Posts WHERE AnswerCount < 3 AND ViewCount > 10000 AND Tags LIKE '%java%' AND NOT Tags LIKE '%javascript%'
|
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[
6943,
3582,
276,
2080,
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17924,
513,
42612,
13,
46506,
15178,
11,
11851,
11,
21582,
10430,
11,
3582,
12332,
11,
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12332,
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21699,
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4,
12355,
4,
6,
5357,
5626,
44789,
34178,
705,
4,
37495,
4,
6
] |
patient 10431 has produced gu irrigant/urine volume out until 62 months ago?
|
SELECT COUNT(*) > 0 FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10431)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'gu irrigant/urine volume out' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime) <= DATETIME(CURRENT_TIME(), '-62 month')
|
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2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
5237,
1227,
11537
] |
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2767,
12789,
7,
34,
39237,
62,
34694,
22784,
705,
12,
5237,
1227,
11537
] |
What is the largest silver with less than 0 gold?
|
SELECT MAX("Silver") FROM table_68861 WHERE "Gold" < '0'
|
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2061,
318,
262,
4387,
8465,
351,
1342,
621,
657,
3869,
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4943,
16034,
3084,
62,
3104,
4521,
16,
33411,
366,
13306,
1,
1279,
705,
15,
6
] |
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1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
318,
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3084,
62,
3104,
4521,
16,
33411,
366,
13306,
1,
1279,
705,
15,
6
] |
What are the names of the MDE classes ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, program, program_course WHERE program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id
|
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312,
796,
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62,
17319,
13,
23065,
62,
312
] |
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1,
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1,
1,
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1,
1,
1,
1,
1
] |
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1430,
13,
23065,
62,
312,
796,
1430,
62,
17319,
13,
23065,
62,
312
] |
For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and code , and group by attribute name, display in desc by the X.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Name DESC
|
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1890,
883,
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422,
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290,
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546,
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5376,
11,
309,
16,
13,
5376,
38678,
11050,
309,
16,
13,
5376,
22196,
34
] |
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1,
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1,
1,
1,
1,
1
] |
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11,
309,
16,
13,
5376,
38678,
11050,
309,
16,
13,
5376,
22196,
34
] |
what are the seasons for no 3?
|
SELECT seasons FROM table_23886181_1 WHERE no = "3"
|
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10919,
389,
262,
7028,
329,
645,
513,
30,
46506,
7028,
16034,
3084,
62,
1954,
44980,
27057,
62,
16,
33411,
645,
796,
366,
18,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
10919,
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3084,
62,
1954,
44980,
27057,
62,
16,
33411,
645,
796,
366,
18,
1
] |
What 2008 has 1r as a 2010, A as the 2007, and 1r as the 2009?
|
SELECT "2008" FROM table_61615 WHERE "2010" = '1r' AND "2007" = 'a' AND "2009" = '1r'
|
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1,
796,
705,
64,
6,
5357,
366,
10531,
1,
796,
705,
16,
81,
6
] |
[
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
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30,
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1,
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3084,
62,
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705,
16,
81,
6,
5357,
366,
12726,
1,
796,
705,
64,
6,
5357,
366,
10531,
1,
796,
705,
16,
81,
6
] |
With a 35 to 39 greater than 3,315 what is the 45 to 49?
|
SELECT "45 to 49" FROM table_77331 WHERE "35 to 39" > '3,315'
|
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3152,
257,
3439,
284,
5014,
3744,
621,
513,
11,
27936,
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318,
262,
4153,
284,
5125,
30,
46506,
366,
2231,
284,
5125,
1,
16034,
3084,
62,
3324,
31697,
33411,
366,
2327,
284,
5014,
1,
1875,
705,
18,
11,
27936,
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
] |
[
3152,
257,
3439,
284,
5014,
3744,
621,
513,
11,
27936,
644,
318,
262,
4153,
284,
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30,
46506,
366,
2231,
284,
5125,
1,
16034,
3084,
62,
3324,
31697,
33411,
366,
2327,
284,
5014,
1,
1875,
705,
18,
11,
27936,
6
] |
Show the number of cards in different card type code in a pie chart.
|
SELECT card_type_code, COUNT(card_type_code) FROM Customers_Cards GROUP BY card_type_code
|
[
15307,
262,
1271,
286,
4116,
287,
1180,
2657,
2099,
2438,
287,
257,
2508,
8262,
13,
46506,
2657,
62,
4906,
62,
8189,
11,
327,
28270,
7,
9517,
62,
4906,
62,
8189,
8,
16034,
36707,
62,
34,
1371,
44441,
11050,
2657,
62,
4906,
62,
8189
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
15307,
262,
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286,
4116,
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2508,
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28270,
7,
9517,
62,
4906,
62,
8189,
8,
16034,
36707,
62,
34,
1371,
44441,
11050,
2657,
62,
4906,
62,
8189
] |
how many hours has elapsed since the last time that patient 005-87465 took a ogt flush intake on the current intensive care unit visit?
|
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'ogt flush' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1
|
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] |
What are the titles of episodes with 5.66 million US viewers?
|
SELECT title FROM table_2866514_1 WHERE us_viewers__million_ = "5.66"
|
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13,
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20,
13,
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1
] |
What is the Ben-Tahir with a 3269 Doucet?
|
SELECT ben_tahir FROM table_name_92 WHERE doucet = "3269"
|
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316,
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366,
18,
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1
] |
What is the Tuesday 1 June total number if Monday 31 May is 20' 15.35 111.761mph?
|
SELECT COUNT(tues_1_june) FROM table_25220821_3 WHERE mon_31_may = "20' 15.35 111.761mph"
|
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13,
2327,
13374,
13,
4304,
16,
23335,
1
] |
give me the number of patients who had other body fluid lab test and were diagnosed with unspecified abnormal cardiovascular function study.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Abn cardiovasc study NEC" AND lab.fluid = "Other Body Fluid"
|
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1
] |
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, order by the y-axis in descending.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(DEPARTMENT_ID) DESC
|
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] |
How many millions of U.S viewers watched the episode titled 'Mended Hearts'?
|
SELECT "U.S. viewers (millions)" FROM table_29479 WHERE "Title" = 'Mended Hearts'
|
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44,
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31714,
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366,
19160,
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796,
705,
44,
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] |
What is the Record with a Date that is may 20, 1961?
|
SELECT "Record" FROM table_42209 WHERE "Date" = 'may 20, 1961'
|
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20510,
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,
13266,
351,
257,
7536,
326,
318,
743,
1160,
11,
20510,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
3682,
22567,
33411,
366,
10430,
1,
796,
705,
11261,
1160,
11,
20510,
6
] |
What Label has a Code of cocy-78365?
|
SELECT "Label" FROM table_77115 WHERE "Code" = 'cocy-78365'
|
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2061,
36052,
468,
257,
6127,
286,
8954,
88,
12,
3695,
24760,
30,
46506,
366,
33986,
1,
16034,
3084,
62,
3324,
15363,
33411,
366,
10669,
1,
796,
705,
66,
13733,
12,
3695,
24760,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
36052,
468,
257,
6127,
286,
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366,
33986,
1,
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3084,
62,
3324,
15363,
33411,
366,
10669,
1,
796,
705,
66,
13733,
12,
3695,
24760,
6
] |
What day was United States the opposing team?
|
SELECT date FROM table_name_92 WHERE opposing_team = "united states"
|
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2061,
1110,
373,
1578,
1829,
262,
12330,
1074,
30,
46506,
3128,
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3084,
62,
3672,
62,
5892,
33411,
12330,
62,
15097,
796,
366,
41187,
2585,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
1110,
373,
1578,
1829,
262,
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1074,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
5892,
33411,
12330,
62,
15097,
796,
366,
41187,
2585,
1
] |
Which game number had a location/attendance of US Airways Center 7,311 respectively?
|
SELECT MAX("Game") FROM table_1614 WHERE "Location/Attendance" = 'US Airways Center 7,311'
|
[
13828,
983,
1271,
550,
257,
4067,
14,
1078,
437,
590,
286,
1294,
40020,
3337,
767,
11,
36244,
8148,
30,
46506,
25882,
7203,
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4943,
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3084,
62,
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1415,
33411,
366,
14749,
14,
8086,
437,
590,
1,
796,
705,
2937,
40020,
3337,
767,
11,
36244,
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
] |
[
13828,
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550,
257,
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14,
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437,
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1294,
40020,
3337,
767,
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3084,
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1433,
1415,
33411,
366,
14749,
14,
8086,
437,
590,
1,
796,
705,
2937,
40020,
3337,
767,
11,
36244,
6
] |
The candidates Charles Fisher (DR) 65.1% W. Jones (F) 34.9% is for what incumbent?
|
SELECT "Incumbent" FROM table_3605 WHERE "Candidates" = 'Charles Fisher (DR) 65.1% W. Jones (F) 34.9%'
|
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464,
5871,
7516,
14388,
357,
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16,
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37,
8,
4974,
13,
24,
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318,
329,
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6135,
13,
16,
4,
370,
13,
5437,
357,
37,
8,
4974,
13,
24,
4,
6
] |
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1,
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1,
1
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318,
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366,
25517,
2178,
298,
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3084,
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8,
6135,
13,
16,
4,
370,
13,
5437,
357,
37,
8,
4974,
13,
24,
4,
6
] |
What's the score on December 12, 1998?
|
SELECT "Score" FROM table_65799 WHERE "Date" = 'december 12, 1998'
|
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2061,
338,
262,
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319,
3426,
1105,
11,
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62,
37680,
2079,
33411,
366,
10430,
1,
796,
705,
2934,
3273,
1105,
11,
7795,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
338,
262,
4776,
319,
3426,
1105,
11,
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366,
26595,
1,
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2079,
33411,
366,
10430,
1,
796,
705,
2934,
3273,
1105,
11,
7795,
6
] |
What was the earliest year that Park Jung-Ah won the gold?
|
SELECT MIN(year) FROM table_name_16 WHERE gold = "park jung-ah"
|
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2061,
373,
262,
14555,
614,
326,
3250,
27134,
12,
10910,
1839,
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3869,
30,
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20625,
7,
1941,
8,
16034,
3084,
62,
3672,
62,
1433,
33411,
3869,
796,
366,
20928,
34799,
12,
993,
1
] |
[
1,
1,
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1,
1,
1,
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1,
1,
1,
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,
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614,
326,
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12,
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262,
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1941,
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3084,
62,
3672,
62,
1433,
33411,
3869,
796,
366,
20928,
34799,
12,
993,
1
] |
Name the total number of dar for disney channel and number is 613
|
SELECT COUNT(dar) FROM table_15887683_9 WHERE television_service = "Disney Channel" AND n° = 613
|
[
5376,
262,
2472,
1271,
286,
288,
283,
329,
595,
1681,
6518,
290,
1271,
318,
718,
1485,
46506,
327,
28270,
7,
27455,
8,
16034,
3084,
62,
1314,
3459,
30610,
18,
62,
24,
33411,
5581,
62,
15271,
796,
366,
37338,
11102,
1,
5357,
299,
7200,
796,
718,
1485
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
5376,
262,
2472,
1271,
286,
288,
283,
329,
595,
1681,
6518,
290,
1271,
318,
718,
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327,
28270,
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62,
1314,
3459,
30610,
18,
62,
24,
33411,
5581,
62,
15271,
796,
366,
37338,
11102,
1,
5357,
299,
7200,
796,
718,
1485
] |
What is the lowest game number on 20 July 2008?
|
SELECT MIN("Game") FROM table_76494 WHERE "Date" = '20 july 2008'
|
[
2061,
318,
262,
9016,
983,
1271,
319,
1160,
2901,
3648,
30,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
22,
2414,
5824,
33411,
366,
10430,
1,
796,
705,
1238,
474,
2062,
3648,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
318,
262,
9016,
983,
1271,
319,
1160,
2901,
3648,
30,
46506,
20625,
7203,
8777,
4943,
16034,
3084,
62,
22,
2414,
5824,
33411,
366,
10430,
1,
796,
705,
1238,
474,
2062,
3648,
6
] |
What was the To par when the place was 4?
|
SELECT to_par FROM table_name_60 WHERE place = "4"
|
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2061,
373,
262,
1675,
1582,
618,
262,
1295,
373,
604,
30,
46506,
284,
62,
1845,
16034,
3084,
62,
3672,
62,
1899,
33411,
1295,
796,
366,
19,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
373,
262,
1675,
1582,
618,
262,
1295,
373,
604,
30,
46506,
284,
62,
1845,
16034,
3084,
62,
3672,
62,
1899,
33411,
1295,
796,
366,
19,
1
] |
A bar chart for returning the number of the countries of the mountains that have a height larger than 5000.
|
SELECT Country, COUNT(Country) FROM mountain WHERE Height > 5000 GROUP BY Country
|
[
32,
2318,
8262,
329,
8024,
262,
1271,
286,
262,
2678,
286,
262,
12269,
326,
423,
257,
6001,
4025,
621,
23336,
13,
46506,
12946,
11,
327,
28270,
7,
33921,
8,
16034,
8598,
33411,
27280,
1875,
23336,
44441,
11050,
12946
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
329,
8024,
262,
1271,
286,
262,
2678,
286,
262,
12269,
326,
423,
257,
6001,
4025,
621,
23336,
13,
46506,
12946,
11,
327,
28270,
7,
33921,
8,
16034,
8598,
33411,
27280,
1875,
23336,
44441,
11050,
12946
] |
Ben Hogan with a score larger than 66 had a place listed of what?
|
SELECT place FROM table_name_77 WHERE score > 66 AND player = "ben hogan"
|
[
11696,
25316,
351,
257,
4776,
4025,
621,
7930,
550,
257,
1295,
5610,
286,
644,
30,
46506,
1295,
16034,
3084,
62,
3672,
62,
3324,
33411,
4776,
1875,
7930,
5357,
2137,
796,
366,
11722,
289,
9632,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
11696,
25316,
351,
257,
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4025,
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7930,
550,
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5610,
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644,
30,
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62,
3672,
62,
3324,
33411,
4776,
1875,
7930,
5357,
2137,
796,
366,
11722,
289,
9632,
1
] |
conferences for Semantic Parsing
|
SELECT DISTINCT paper.venueid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Semantic Parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid
|
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10414,
4972,
329,
12449,
5109,
23042,
278,
46506,
360,
8808,
1268,
4177,
3348,
13,
4080,
312,
16034,
1994,
34675,
11,
3348,
11,
3348,
2539,
34675,
33411,
1994,
34675,
13,
2539,
746,
8847,
12453,
796,
705,
13900,
5109,
23042,
278,
6,
5357,
3348,
2539,
34675,
13,
2539,
34675,
312,
796,
1994,
34675,
13,
2539,
34675,
312,
5357,
3348,
13,
20189,
312,
796,
3348,
2539,
34675,
13,
20189,
312
] |
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1,
1,
1,
1,
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1,
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1,
1,
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1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1
] |
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312,
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34675,
11,
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11,
3348,
2539,
34675,
33411,
1994,
34675,
13,
2539,
746,
8847,
12453,
796,
705,
13900,
5109,
23042,
278,
6,
5357,
3348,
2539,
34675,
13,
2539,
34675,
312,
796,
1994,
34675,
13,
2539,
34675,
312,
5357,
3348,
13,
20189,
312,
796,
3348,
2539,
34675,
13,
20189,
312
] |
Group and count details for the events using a bar chart, and I want to list by the names in desc.
|
SELECT Event_Details, COUNT(Event_Details) FROM Events GROUP BY Event_Details ORDER BY Event_Details DESC
|
[
13247,
290,
954,
3307,
329,
262,
2995,
1262,
257,
2318,
8262,
11,
290,
314,
765,
284,
1351,
416,
262,
3891,
287,
1715,
13,
46506,
8558,
62,
24259,
11,
327,
28270,
7,
9237,
62,
24259,
8,
16034,
18715,
44441,
11050,
8558,
62,
24259,
38678,
11050,
8558,
62,
24259,
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
] |
[
13247,
290,
954,
3307,
329,
262,
2995,
1262,
257,
2318,
8262,
11,
290,
314,
765,
284,
1351,
416,
262,
3891,
287,
1715,
13,
46506,
8558,
62,
24259,
11,
327,
28270,
7,
9237,
62,
24259,
8,
16034,
18715,
44441,
11050,
8558,
62,
24259,
38678,
11050,
8558,
62,
24259,
22196,
34
] |
What shows for 1987 when 1995 shows 1r, 1986 is a, and 1998 is sf?
|
SELECT "1987" FROM table_7338 WHERE "1995" = '1r' AND "1986" = 'a' AND "1988" = 'sf'
|
[
2061,
2523,
329,
12923,
618,
8735,
2523,
352,
81,
11,
12113,
318,
257,
11,
290,
7795,
318,
264,
69,
30,
46506,
366,
27301,
1,
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3084,
62,
22,
28460,
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366,
21908,
1,
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16,
81,
6,
5357,
366,
28054,
1,
796,
705,
64,
6,
5357,
366,
26709,
1,
796,
705,
28202,
6
] |
[
1,
1,
1,
1,
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1,
1,
1,
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1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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] |
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2061,
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618,
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81,
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1,
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366,
28054,
1,
796,
705,
64,
6,
5357,
366,
26709,
1,
796,
705,
28202,
6
] |
How many patients have stayed in the hospital for more than 15 days and have had a procedure with the short title of packed cell transfusion?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "15" AND procedures.short_title = "Packed cell transfusion"
|
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2437,
867,
3871,
423,
9658,
287,
262,
4436,
329,
517,
621,
1315,
1528,
290,
423,
550,
257,
8771,
351,
262,
1790,
3670,
286,
11856,
2685,
13501,
4241,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
6177,
16728,
13,
18108,
76,
62,
312,
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13,
18108,
76,
62,
312,
33411,
16728,
13,
12545,
62,
31712,
1875,
366,
1314,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
47,
6021,
2685,
13501,
4241,
1
] |
[
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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329,
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1528,
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550,
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3670,
286,
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13501,
4241,
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327,
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35,
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1268,
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16728,
13,
32796,
62,
312,
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16728,
3268,
21479,
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13,
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76,
62,
312,
796,
9021,
13,
18108,
76,
62,
312,
33411,
16728,
13,
12545,
62,
31712,
1875,
366,
1314,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
47,
6021,
2685,
13501,
4241,
1
] |
subjects between the ages of 18 and 65 years, inclusive, with a body mass index ( bmi ) of 18.5 to 45 kg / m2 and c _ peptide > 0.8 ng / ml.
|
SELECT * FROM table_dev_54 WHERE (age >= 18 AND age <= 65) AND (body_mass_index_bmi >= 18.5 AND body_mass_index_bmi <= 45 AND c_peptide_level > 0.8)
|
[
32796,
82,
1022,
262,
9337,
286,
1248,
290,
6135,
812,
11,
19889,
11,
351,
257,
1767,
2347,
6376,
357,
275,
11632,
1267,
286,
1248,
13,
20,
284,
4153,
14211,
1220,
285,
17,
290,
269,
4808,
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23,
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25962,
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1635,
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9630,
62,
65,
11632,
19841,
4153,
5357,
269,
62,
431,
457,
485,
62,
5715,
1875,
657,
13,
23,
8
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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11632,
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1248,
13,
20,
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1767,
62,
22208,
62,
9630,
62,
65,
11632,
19841,
4153,
5357,
269,
62,
431,
457,
485,
62,
5715,
1875,
657,
13,
23,
8
] |
how many patients had short term hospital as their discharge location and have undergone a procedure endosc retro cholangiopa?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND procedures.short_title = "Endosc retro cholangiopa"
|
[
4919,
867,
3871,
550,
1790,
3381,
4436,
355,
511,
17655,
4067,
290,
423,
29900,
257,
8771,
886,
17500,
12175,
442,
349,
648,
14922,
64,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
3268,
21479,
32357,
1268,
9021,
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76,
62,
312,
796,
9021,
13,
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76,
62,
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6381,
10136,
62,
24886,
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28994,
44,
367,
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40579,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
12915,
17500,
12175,
442,
349,
648,
14922,
64,
1
] |
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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21479,
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62,
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6381,
10136,
62,
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28994,
44,
367,
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40579,
1,
5357,
9021,
13,
19509,
62,
7839,
796,
366,
12915,
17500,
12175,
442,
349,
648,
14922,
64,
1
] |
Which hanzi's launch is before 2009, when the language was tibetan, and the name was qinghai tibetian general channel?
|
SELECT "Hanzi" FROM table_37741 WHERE "Launch" < '2009' AND "Language" = 'tibetan' AND "Name" = 'qinghai tibetian general channel'
|
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13828,
289,
272,
17027,
338,
4219,
318,
878,
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256,
571,
316,
272,
11,
290,
262,
1438,
373,
10662,
278,
44488,
256,
571,
316,
666,
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30,
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3084,
62,
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33411,
366,
38296,
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1279,
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10531,
6,
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366,
32065,
1,
796,
705,
83,
571,
316,
272,
6,
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366,
5376,
1,
796,
705,
80,
278,
44488,
256,
571,
316,
666,
2276,
6518,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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13828,
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5376,
1,
796,
705,
80,
278,
44488,
256,
571,
316,
666,
2276,
6518,
6
] |
If the record was 22-21-5, who was the opponent?
|
SELECT "Opponent" FROM table_3781 WHERE "Record" = '22-21-5'
|
[
1532,
262,
1700,
373,
2534,
12,
2481,
12,
20,
11,
508,
373,
262,
6125,
30,
46506,
366,
27524,
3471,
1,
16034,
3084,
62,
2718,
6659,
33411,
366,
23739,
1,
796,
705,
1828,
12,
2481,
12,
20,
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
] |
[
1532,
262,
1700,
373,
2534,
12,
2481,
12,
20,
11,
508,
373,
262,
6125,
30,
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3471,
1,
16034,
3084,
62,
2718,
6659,
33411,
366,
23739,
1,
796,
705,
1828,
12,
2481,
12,
20,
6
] |
Notre-Dame-De-Lourdes has what average area km 2?
|
SELECT AVG(area_km_2) FROM table_name_46 WHERE official_name = "notre-dame-de-lourdes"
|
[
3673,
260,
12,
35,
480,
12,
5005,
12,
43,
454,
8906,
468,
644,
2811,
1989,
10571,
362,
30,
46506,
35224,
7,
20337,
62,
13276,
62,
17,
8,
16034,
3084,
62,
3672,
62,
3510,
33411,
1743,
62,
3672,
796,
366,
1662,
260,
12,
67,
480,
12,
2934,
12,
75,
454,
8906,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
3673,
260,
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35,
480,
12,
5005,
12,
43,
454,
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468,
644,
2811,
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796,
366,
1662,
260,
12,
67,
480,
12,
2934,
12,
75,
454,
8906,
1
] |
how many titles only had one episode ?
|
SELECT COUNT("title") FROM table_204_903 WHERE "episodes" = 1
|
[
4919,
867,
8714,
691,
550,
530,
4471,
5633,
46506,
327,
28270,
7203,
7839,
4943,
16034,
3084,
62,
18638,
62,
24,
3070,
33411,
366,
538,
8052,
1,
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
] |
[
4919,
867,
8714,
691,
550,
530,
4471,
5633,
46506,
327,
28270,
7203,
7839,
4943,
16034,
3084,
62,
18638,
62,
24,
3070,
33411,
366,
538,
8052,
1,
796,
352
] |
How many Bangladeshi citizens are there in the borough ranked at number 7?
|
SELECT MIN("Bangladeshi Population") FROM table_22845 WHERE "Rank" = '7'
|
[
2437,
867,
17891,
2367,
5303,
4290,
389,
612,
287,
262,
33534,
10307,
379,
1271,
767,
30,
46506,
20625,
7203,
43984,
75,
2367,
5303,
20133,
4943,
16034,
3084,
62,
23815,
2231,
33411,
366,
27520,
1,
796,
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
] |
[
2437,
867,
17891,
2367,
5303,
4290,
389,
612,
287,
262,
33534,
10307,
379,
1271,
767,
30,
46506,
20625,
7203,
43984,
75,
2367,
5303,
20133,
4943,
16034,
3084,
62,
23815,
2231,
33411,
366,
27520,
1,
796,
705,
22,
6
] |
Which gene is ongoing and has an intramuscular route of administration?
|
SELECT "Gene" FROM table_14056 WHERE "Route of administration" = 'intramuscular' AND "Status" = 'ongoing'
|
[
13828,
9779,
318,
7044,
290,
468,
281,
493,
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] |
What is the stage reached for venue edmonton green?
|
SELECT stage_reached FROM table_name_23 WHERE venue = "edmonton green"
|
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What is Year, when Time is '1:47.55'?
|
SELECT "Year" FROM table_59146 WHERE "Time" = '1:47.55'
|
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] |
What is the Tamil Name of ( 2)?
|
SELECT "Type" FROM table_6947 WHERE "Tamil Name" = 'சந்திர புத்தாண்டு (தினம் 2)'
|
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what's the name of the specimen test that patient 031-15666 was given for the first time in 12/last year?
|
SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-15666')) AND DATETIME(microlab.culturetakentime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', microlab.culturetakentime) = '12' ORDER BY microlab.culturetakentime LIMIT 1
|
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] |
Visualize a bar chart about the distribution of Nationality and the average of meter_100 , and group by attribute Nationality, and I want to show by the Nationality from high to low.
|
SELECT Nationality, AVG(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC
|
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] |
what was the number of times the lansoprazole oral suspension was prescribed in 2105?
|
SELECT COUNT(*) FROM prescriptions WHERE prescriptions.drug = 'lansoprazole oral suspension' AND STRFTIME('%y', prescriptions.startdate) = '2105'
|
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] |
patient weighs more than 80 kg or body mass index bmi > 28
|
SELECT * FROM table_train_224 WHERE body_weight > 80 OR body_mass_index_bmi > 28
|
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] |
What is Population density (per km ), when Name is Antigua and Barbuda, and when Capital is St. John's?
|
SELECT population_density__per_km²_ FROM table_name_81 WHERE name = "antigua and barbuda" AND capital = "st. john's"
|
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318,
3738,
328,
6413,
290,
10593,
15339,
11,
290,
618,
9747,
318,
520,
13,
1757,
338,
30,
46506,
3265,
62,
43337,
834,
525,
62,
13276,
31185,
62,
16034,
3084,
62,
3672,
62,
6659,
33411,
1438,
796,
366,
415,
328,
6413,
290,
42577,
15339,
1,
5357,
3139,
796,
366,
301,
13,
45610,
338,
1
] |
what is the total number of encyclicals to take place in december ?
|
SELECT COUNT("title (latin)") FROM table_203_476 WHERE "date" = 12
|
[
10919,
318,
262,
2472,
1271,
286,
551,
15539,
20155,
284,
1011,
1295,
287,
390,
3273,
5633,
46506,
327,
28270,
7203,
7839,
357,
75,
10680,
8,
4943,
16034,
3084,
62,
22416,
62,
35435,
33411,
366,
4475,
1,
796,
1105
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2472,
1271,
286,
551,
15539,
20155,
284,
1011,
1295,
287,
390,
3273,
5633,
46506,
327,
28270,
7203,
7839,
357,
75,
10680,
8,
4943,
16034,
3084,
62,
22416,
62,
35435,
33411,
366,
4475,
1,
796,
1105
] |
Name the date when bye was opponent
|
SELECT date FROM table_name_15 WHERE opponent = "bye"
|
[
5376,
262,
3128,
618,
33847,
373,
6125,
46506,
3128,
16034,
3084,
62,
3672,
62,
1314,
33411,
6125,
796,
366,
16390,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
5376,
262,
3128,
618,
33847,
373,
6125,
46506,
3128,
16034,
3084,
62,
3672,
62,
1314,
33411,
6125,
796,
366,
16390,
1
] |
What Type of museum is the Valdez museum?
|
SELECT "Type" FROM table_34536 WHERE "Name" = 'valdez museum'
|
[
2061,
5994,
286,
13257,
318,
262,
38552,
8471,
13257,
30,
46506,
366,
6030,
1,
16034,
3084,
62,
27712,
2623,
33411,
366,
5376,
1,
796,
705,
85,
1940,
8471,
13257,
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,
5994,
286,
13257,
318,
262,
38552,
8471,
13257,
30,
46506,
366,
6030,
1,
16034,
3084,
62,
27712,
2623,
33411,
366,
5376,
1,
796,
705,
85,
1940,
8471,
13257,
6
] |
What is the opponent in a week larger than 1, with a result of l 21-20?
|
SELECT opponent FROM table_name_31 WHERE week > 1 AND result = "l 21-20"
|
[
2061,
318,
262,
6125,
287,
257,
1285,
4025,
621,
352,
11,
351,
257,
1255,
286,
300,
2310,
12,
1238,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
3132,
33411,
1285,
1875,
352,
5357,
1255,
796,
366,
75,
2310,
12,
1238,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6125,
287,
257,
1285,
4025,
621,
352,
11,
351,
257,
1255,
286,
300,
2310,
12,
1238,
30,
46506,
6125,
16034,
3084,
62,
3672,
62,
3132,
33411,
1285,
1875,
352,
5357,
1255,
796,
366,
75,
2310,
12,
1238,
1
] |
What is the date of the game played at rich stadium?
|
SELECT date FROM table_name_60 WHERE game_site = "rich stadium"
|
[
2061,
318,
262,
3128,
286,
262,
983,
2826,
379,
5527,
10308,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
1899,
33411,
983,
62,
15654,
796,
366,
7527,
10308,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
318,
262,
3128,
286,
262,
983,
2826,
379,
5527,
10308,
30,
46506,
3128,
16034,
3084,
62,
3672,
62,
1899,
33411,
983,
62,
15654,
796,
366,
7527,
10308,
1
] |
What is the record of the game that had a home team of Colorado, and a visiting team of Winnipeg?
|
SELECT "Record" FROM table_58374 WHERE "Home" = 'colorado' AND "Visitor" = 'winnipeg'
|
[
2061,
318,
262,
1700,
286,
262,
983,
326,
550,
257,
1363,
1074,
286,
7492,
11,
290,
257,
10013,
1074,
286,
23434,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
3365,
31020,
33411,
366,
16060,
1,
796,
705,
8043,
4533,
6,
5357,
366,
15854,
2072,
1,
796,
705,
86,
3732,
21700,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
318,
262,
1700,
286,
262,
983,
326,
550,
257,
1363,
1074,
286,
7492,
11,
290,
257,
10013,
1074,
286,
23434,
30,
46506,
366,
23739,
1,
16034,
3084,
62,
3365,
31020,
33411,
366,
16060,
1,
796,
705,
8043,
4533,
6,
5357,
366,
15854,
2072,
1,
796,
705,
86,
3732,
21700,
6
] |
A bar chart for what are the number of the dates of publications in descending order of price?
|
SELECT Publication_Date, COUNT(Publication_Date) FROM publication GROUP BY Publication_Date ORDER BY Price DESC
|
[
32,
2318,
8262,
329,
644,
389,
262,
1271,
286,
262,
9667,
286,
16125,
287,
31491,
1502,
286,
2756,
30,
46506,
45065,
62,
10430,
11,
327,
28270,
7,
15202,
341,
62,
10430,
8,
16034,
9207,
44441,
11050,
45065,
62,
10430,
38678,
11050,
7886,
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
] |
[
32,
2318,
8262,
329,
644,
389,
262,
1271,
286,
262,
9667,
286,
16125,
287,
31491,
1502,
286,
2756,
30,
46506,
45065,
62,
10430,
11,
327,
28270,
7,
15202,
341,
62,
10430,
8,
16034,
9207,
44441,
11050,
45065,
62,
10430,
38678,
11050,
7886,
22196,
34
] |
Get the number of female patients who have bradycardia as their primary disease.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "BRADYCARDIA"
|
[
3855,
262,
1271,
286,
4048,
3871,
508,
423,
865,
4597,
9517,
544,
355,
511,
4165,
4369,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
47356,
5958,
796,
366,
11473,
2885,
44816,
9795,
3539,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
3855,
262,
1271,
286,
4048,
3871,
508,
423,
865,
4597,
9517,
544,
355,
511,
4165,
4369,
13,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
8388,
796,
366,
37,
1,
5357,
16728,
13,
47356,
5958,
796,
366,
11473,
2885,
44816,
9795,
3539,
1
] |
hba1c between 7.5 and 10 %
|
SELECT * FROM table_train_229 WHERE hba1c >= 7.5 AND hemoglobin_a1c_hba1c <= 10
|
[
71,
7012,
16,
66,
1022,
767,
13,
20,
290,
838,
4064,
46506,
1635,
16034,
3084,
62,
27432,
62,
23539,
33411,
289,
7012,
16,
66,
18189,
767,
13,
20,
5357,
16869,
49835,
62,
64,
16,
66,
62,
71,
7012,
16,
66,
19841,
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
] |
[
71,
7012,
16,
66,
1022,
767,
13,
20,
290,
838,
4064,
46506,
1635,
16034,
3084,
62,
27432,
62,
23539,
33411,
289,
7012,
16,
66,
18189,
767,
13,
20,
5357,
16869,
49835,
62,
64,
16,
66,
62,
71,
7012,
16,
66,
19841,
838
] |
how many patients whose admission location is emergency room admit and year of birth is less than 1850?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.dob_year < "1850"
|
[
4919,
867,
3871,
3025,
13938,
4067,
318,
6334,
2119,
9159,
290,
614,
286,
4082,
318,
1342,
621,
35745,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
3620,
49837,
45155,
15107,
2662,
5984,
36393,
1,
5357,
16728,
13,
67,
672,
62,
1941,
1279,
366,
1507,
1120,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13938,
4067,
318,
6334,
2119,
9159,
290,
614,
286,
4082,
318,
1342,
621,
35745,
30,
46506,
327,
28270,
7,
35,
8808,
1268,
4177,
16728,
13,
32796,
62,
312,
8,
16034,
16728,
33411,
16728,
13,
324,
3411,
62,
24886,
796,
366,
3620,
49837,
45155,
15107,
2662,
5984,
36393,
1,
5357,
16728,
13,
67,
672,
62,
1941,
1279,
366,
1507,
1120,
1
] |
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