NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
what's the species in the world with peruvian amazon vs. peru (percent) of 63 | CREATE TABLE table_11727969_1 (species_in_the_world VARCHAR, peruvian_amazon_vs_peru__percent_ VARCHAR) | SELECT species_in_the_world FROM table_11727969_1 WHERE peruvian_amazon_vs_peru__percent_ = 63 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20275,
357,
4440,
3951,
834,
536,
41,
7576,
725,
834,
77,
834,
532,
834,
7276,
584,
4280,
28027,
6,
399,
76,
5907,
29,
834,
9,
18983,
106,
834,
208,
7,
834,
883,
76,
834,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3244,
834,
77,
834,
532,
834,
7276,
21680,
953,
834,
20275,
357,
4440,
3951,
834,
536,
549,
17444,
427,
399,
76,
5907,
29,
834,
9,
18983,
106,
834,
208,
7,
834,
883,
76,
834,
834,
883,
3728,
834,
3274,
3,
3891,
... |
How many schools have an enrollment of 850? | CREATE TABLE table_16630 (
"School" text,
"Location" text,
"Enrolment" real,
"Founded" real,
"Denomination" text,
"Day/Boarding" text,
"School Colours" text,
"Abbreviation" text,
"In competition since" real
) | SELECT COUNT("Founded") FROM table_16630 WHERE "Enrolment" = '850' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26811,
1458,
41,
96,
29364,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
8532,
3491,
297,
121,
490,
6,
96,
20100,
121,
490,
6,
96,
308,
35,
32,
14484,
121,
149... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
20100,
8512,
21680,
953,
834,
26811,
1458,
549,
17444,
427,
96,
8532,
3491,
297,
121,
3274,
3,
31,
17246,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the highest erp w with a 90.5 frequency mhz? | CREATE TABLE table_79689 (
"Call sign" text,
"Frequency MHz" real,
"City of license" text,
"ERP W" real,
"Class" text,
"FCC info" text
) | SELECT MAX("ERP W") FROM table_79689 WHERE "Frequency MHz" = '90.5' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
4314,
3914,
41,
96,
254,
1748,
1320,
121,
1499,
6,
96,
371,
60,
835,
11298,
3,
20210,
121,
490,
6,
96,
254,
485,
13,
3344,
121,
1499,
6,
96,
3316,
345,
549,
121,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
3316,
345,
549,
8512,
21680,
953,
834,
940,
4314,
3914,
549,
17444,
427,
96,
371,
60,
835,
11298,
3,
20210,
121,
3274,
3,
31,
1298,
12100,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Country when the language is italian english, and the television service is disney xd +1? | CREATE TABLE table_name_12 (country VARCHAR, language VARCHAR, television_service VARCHAR) | SELECT country FROM table_name_12 WHERE language = "italian english" AND television_service = "disney xd +1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
17529,
584,
4280,
28027,
6,
1612,
584,
4280,
28027,
6,
4390,
834,
5114,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
6993,
116,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
684,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
1612,
3274,
96,
155,
9,
9928,
22269,
121,
3430,
4390,
834,
5114,
3274,
96,
26,
159,
3186,
3,
226,
26,
3,
18446,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What category did MCG get a nominee in? | CREATE TABLE table_name_62 (
category VARCHAR,
label VARCHAR,
result VARCHAR
) | SELECT category FROM table_name_62 WHERE label = "mcg" AND result = "nominee" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
3295,
584,
4280,
28027,
6,
3783,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
3295,
410,
283,
12150,
129,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3295,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
3783,
3274,
96,
51,
75,
122,
121,
3430,
741,
3274,
96,
3114,
630,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
On what day was Tie #29 played? | CREATE TABLE table_name_55 (date VARCHAR, tie_no VARCHAR) | SELECT date FROM table_name_55 WHERE tie_no = "29" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
5522,
584,
4280,
28027,
6,
6177,
834,
29,
32,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
461,
125,
239,
47,
2262,
15,
1713,
3166,
1944,
58,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
6177,
834,
29,
32,
3274,
96,
3166,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the average number of scotland 's total apps ? | CREATE TABLE table_204_159 (
id number,
"name" text,
"nation" text,
"position" text,
"league apps" number,
"league goals" number,
"fa cup apps" number,
"fa cup goals" number,
"total apps" number,
"total goals" number
) | SELECT AVG("total apps") FROM table_204_159 WHERE "nation" = 'scotland' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
27904,
41,
3,
23,
26,
381,
6,
96,
4350,
121,
1499,
6,
96,
29,
257,
121,
1499,
6,
96,
4718,
121,
1499,
6,
96,
29512,
4050,
121,
381,
6,
96,
29512,
1766,
121,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
235,
1947,
4050,
8512,
21680,
953,
834,
26363,
834,
27904,
549,
17444,
427,
96,
29,
257,
121,
3274,
3,
31,
7,
4310,
40,
232,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Champion with a Year that is 2008? | CREATE TABLE table_name_65 (champion VARCHAR, year VARCHAR) | SELECT champion FROM table_name_65 WHERE year = 2008 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
17788,
12364,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
16127,
28,
3,
9,
2929,
24,
19,
2628,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6336,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
215,
3274,
2628,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
how many cities are below 1000 in population ? | CREATE TABLE table_204_6 (
id number,
"category" text,
"urban settlements" text,
"population" number,
"male" text,
"female" text,
"inhabited localities in jurisdiction" text
) | SELECT COUNT("urban settlements") FROM table_204_6 WHERE "population" < 1000 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
948,
41,
3,
23,
26,
381,
6,
96,
8367,
839,
651,
121,
1499,
6,
96,
19413,
7025,
7,
121,
1499,
6,
96,
9791,
7830,
121,
381,
6,
96,
13513,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
19413,
7025,
7,
8512,
21680,
953,
834,
26363,
834,
948,
549,
17444,
427,
96,
9791,
7830,
121,
3,
2,
5580,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What were the bleeding times when both the platelet count was unaffected and the partial thromboplastin time was unaffected | CREATE TABLE table_1099080_1 (bleeding_time VARCHAR, partial_thromboplastin_time VARCHAR, platelet_count VARCHAR) | SELECT bleeding_time FROM table_1099080_1 WHERE partial_thromboplastin_time = "Unaffected" AND platelet_count = "Unaffected" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17304,
2394,
2079,
834,
536,
41,
27779,
53,
834,
715,
584,
4280,
28027,
6,
11807,
834,
8514,
6310,
23918,
77,
834,
715,
584,
4280,
28027,
6,
3829,
1655,
834,
13362,
584,
4280... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
19021,
834,
715,
21680,
953,
834,
17304,
2394,
2079,
834,
536,
549,
17444,
427,
11807,
834,
8514,
6310,
23918,
77,
834,
715,
3274,
96,
5110,
9,
27488,
121,
3430,
3829,
1655,
834,
13362,
3274,
96,
5110,
9,
27488,
121,
... |
Which Margin of victory has a Runner(s)-up of mark o'meara? | CREATE TABLE table_name_19 (margin_of_victory VARCHAR, runner_s__up VARCHAR) | SELECT margin_of_victory FROM table_name_19 WHERE runner_s__up = "mark o'meara" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
1635,
122,
77,
834,
858,
834,
7287,
10972,
584,
4280,
28027,
6,
3,
10806,
834,
7,
834,
834,
413,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
6346,
834,
858,
834,
7287,
10972,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
3,
10806,
834,
7,
834,
834,
413,
3274,
96,
3920,
3,
32,
31,
526,
2551,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the highest attendance at a game with a result of 5-1? | CREATE TABLE table_name_94 (attendance INTEGER, result VARCHAR) | SELECT MAX(attendance) FROM table_name_94 WHERE result = "5-1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
15116,
663,
3,
21342,
17966,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
11364,
44,
3,
9,
467,
28,
3,
9,
741,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
741,
3274,
96,
755,
2292,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
give me the number of patients whose age is less than 71 and lab test name is epithelial cells? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "71" AND lab.label = "Epithelial Cells" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Which Attendance has a Date of september 29, 1968, and a Week smaller than 3? | CREATE TABLE table_name_17 (
attendance INTEGER,
date VARCHAR,
week VARCHAR
) | SELECT MIN(attendance) FROM table_name_17 WHERE date = "september 29, 1968" AND week < 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
41,
11364,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
22497,
663,
65,
3,
9,
7678,
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,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
2517,
549,
17444,
427,
833,
3274,
96,
7,
6707,
18247,
14405,
16506,
121,
3430,
471,
3,
2,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Round has an Opponent of jorge magalhaes? | CREATE TABLE table_name_83 (
round INTEGER,
opponent VARCHAR
) | SELECT AVG(round) FROM table_name_83 WHERE opponent = "jorge magalhaes" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
1751,
3,
21342,
17966,
6,
15264,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
9609,
65,
46,
4495,
9977,
13,
3,
12775,
397,
6396,
138,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
7775,
61,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
15264,
3274,
96,
12775,
397,
6396,
138,
1024,
15,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When London Bridge is the destination, what is the frequency? | CREATE TABLE table_1569516_1 (
frequency__per_hour_ VARCHAR,
destination VARCHAR
) | SELECT frequency__per_hour_ FROM table_1569516_1 WHERE destination = "London Bridge" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25463,
3301,
2938,
834,
536,
41,
7321,
834,
834,
883,
834,
5842,
834,
584,
4280,
28027,
6,
3954,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
1524,
6132,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
7321,
834,
834,
883,
834,
5842,
834,
21680,
953,
834,
25463,
3301,
2938,
834,
536,
549,
17444,
427,
3954,
3274,
96,
29712,
6132,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
When did the episodes first air that had a production code of 107? | CREATE TABLE table_18335117_2 (original_air_date VARCHAR, production_code VARCHAR) | SELECT original_air_date FROM table_18335117_2 WHERE production_code = 107 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24361,
2469,
20275,
834,
357,
41,
21878,
834,
2256,
834,
5522,
584,
4280,
28027,
6,
999,
834,
4978,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
410,
8,
13562,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
926,
834,
2256,
834,
5522,
21680,
953,
834,
24361,
2469,
20275,
834,
357,
549,
17444,
427,
999,
834,
4978,
3274,
3,
18057,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which kind of Edition that has a Surface of clay, and Park Sung-Hee as an opponent? | CREATE TABLE table_71362 (
"Edition" text,
"Round" text,
"Date" text,
"Surface" text,
"Opponent" text,
"Result" text
) | SELECT "Edition" FROM table_71362 WHERE "Surface" = 'clay' AND "Opponent" = 'park sung-hee' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4450,
3420,
357,
41,
96,
427,
10569,
121,
1499,
6,
96,
448,
32,
1106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
102,
9977,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
427,
10569,
121,
21680,
953,
834,
4450,
3420,
357,
549,
17444,
427,
96,
134,
450,
4861,
121,
3274,
3,
31,
4651,
63,
31,
3430,
96,
667,
102,
9977,
121,
3274,
3,
31,
6334,
3,
7,
425,
18,
88,
15,
31,
1,
-100,... |
combined , how many winning golfers does england and wales have in the masters ? | CREATE TABLE table_204_396 (
id number,
"country" text,
"masters" number,
"u.s. open" number,
"the open" number,
"pga" number,
"total" number
) | SELECT SUM("masters") FROM table_204_396 WHERE "country" IN ('england', 'wales') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
519,
4314,
41,
3,
23,
26,
381,
6,
96,
17529,
121,
1499,
6,
96,
7429,
7,
121,
381,
6,
96,
76,
5,
7,
5,
539,
121,
381,
6,
96,
532,
539,
121,
381,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
7429,
7,
8512,
21680,
953,
834,
26363,
834,
519,
4314,
549,
17444,
427,
96,
17529,
121,
3388,
41,
31,
4606,
40,
232,
31,
6,
3,
31,
210,
4529,
31,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the nickname of staff with first name as Janessa and last name as Sawayn? | CREATE TABLE vehicles (
vehicle_id number,
vehicle_details text
)
CREATE TABLE staff (
staff_id number,
staff_address_id number,
nickname text,
first_name text,
middle_name text,
last_name text,
date_of_birth time,
date_joined_staff time,
date_left_staff time
)
CREATE TABLE... | SELECT nickname FROM staff WHERE first_name = "Janessa" AND last_name = "Sawayn" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3203,
41,
1689,
834,
23,
26,
381,
6,
1689,
834,
221,
5756,
7,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
871,
41,
871,
834,
23,
26,
381,
6,
871,
834,
9,
26... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
24649,
21680,
871,
549,
17444,
427,
166,
834,
4350,
3274,
96,
683,
9,
655,
9,
121,
3430,
336,
834,
4350,
3274,
96,
134,
8006,
29,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the circuit held on 15 april? | CREATE TABLE table_77934 (
"Race Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Constructor" text,
"Report" text
) | SELECT "Circuit" FROM table_77934 WHERE "Date" = '15 april' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
4271,
591,
41,
96,
448,
3302,
5570,
121,
1499,
6,
96,
254,
23,
52,
21560,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
518,
10503,
2535,
121,
1499,
6,
96,
4302,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
254,
23,
52,
21560,
121,
21680,
953,
834,
4013,
4271,
591,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
1808,
3,
9,
2246,
40,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Cardinalatial Title has an Elevator of pope eugenius iv? | CREATE TABLE table_5554 (
"Elector" text,
"Nationality" text,
"Cardinalatial Title" text,
"Elevated" text,
"Elevator" text
) | SELECT "Cardinalatial Title" FROM table_5554 WHERE "Elevator" = 'pope eugenius iv' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
5062,
41,
96,
21543,
127,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
6936,
26,
10270,
9,
10646,
11029,
121,
1499,
6,
96,
427,
10912,
920,
121,
1499,
6,
96,
427... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
6936,
26,
10270,
9,
10646,
11029,
121,
21680,
953,
834,
3769,
5062,
549,
17444,
427,
96,
427,
10912,
1016,
121,
3274,
3,
31,
9791,
15,
3,
15,
12972,
22901,
3,
23,
208,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
What score has zadar as the tournament? | CREATE TABLE table_name_27 (
score VARCHAR,
tournament VARCHAR
) | SELECT score FROM table_name_27 WHERE tournament = "zadar" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
2604,
584,
4280,
28027,
6,
5892,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
2604,
65,
3,
1629,
3439,
38,
8,
5892,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
5892,
3274,
96,
1629,
3439,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the sum of the final for finland, who placed greater than 2 and had an all around larger than 18.9? | CREATE TABLE table_60944 (
"Place" real,
"Nation" text,
"All Around" real,
"Final" real,
"Total" real
) | SELECT SUM("Final") FROM table_60944 WHERE "Place" > '2' AND "Nation" = 'finland' AND "All Around" > '18.9' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3328,
4240,
591,
41,
96,
345,
11706,
121,
490,
6,
96,
567,
257,
121,
1499,
6,
96,
6838,
16140,
121,
490,
6,
96,
371,
10270,
121,
490,
6,
96,
3696,
1947,
121,
490,
3,
61... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
371,
10270,
8512,
21680,
953,
834,
3328,
4240,
591,
549,
17444,
427,
96,
345,
11706,
121,
2490,
3,
31,
357,
31,
3430,
96,
567,
257,
121,
3274,
3,
31,
89,
25948,
31,
3430,
96,
6838,
16140,
121,... |
If it is possible to increase the number of police officers, which place is with the first priority? | CREATE TABLE greatermanchestercrime (
crimeid text,
crimets time,
location text,
lsoa text,
type text,
outcome text
) | SELECT location FROM greatermanchestercrime GROUP BY location ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2123,
348,
13263,
2685,
526,
41,
5447,
23,
26,
1499,
6,
5447,
17,
7,
97,
6,
1128,
1499,
6,
3,
40,
7,
32,
9,
1499,
6,
686,
1499,
6,
6138,
1499,
3,
61,
3,
32102,
32103,
32101,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1128,
21680,
2123,
348,
13263,
2685,
526,
350,
4630,
6880,
272,
476,
1128,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and price , and group by attribute name, show Y-axis from low to high order. | CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
) | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Price | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
15248,
7,
41,
3636,
3,
21342,
17966,
6,
5570,
584,
4280,
28027,
599,
25502,
201,
3642,
19973,
584,
4280,
28027,
599,
25502,
201,
3,
19145,
584,
4280,
28027,
599,
25502,
201,
19764,
17833... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
5411,
23954,
6,
332,
5411,
345,
4920,
21680,
7554,
6157,
332,
536,
3,
15355,
3162,
15248,
7,
6157,
332,
357,
9191,
332,
5411,
7296,
76,
8717,
450,
49,
3274,
332,
4416,
22737,
350,
4630,
6880,
272,
476,
332,
541... |
Which is the lowest round to have a pick of 12 and position of linebacker? | CREATE TABLE table_name_86 (round INTEGER, pick__number VARCHAR, position VARCHAR) | SELECT MIN(round) FROM table_name_86 WHERE pick__number = 12 AND position = "linebacker" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
7775,
3,
21342,
17966,
6,
1432,
834,
834,
5525,
1152,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
19,
8,
7402,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
7775,
61,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
1432,
834,
834,
5525,
1152,
3274,
586,
3430,
1102,
3274,
96,
747,
1549,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which party had a member on August 26, 2008? | CREATE TABLE table_33495 (
"Date" text,
"Name" text,
"Party" text,
"Province" text,
"Details" text
) | SELECT "Party" FROM table_33495 WHERE "Date" = 'august 26, 2008' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3710,
3301,
41,
96,
308,
342,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
3174,
2494,
565,
121,
1499,
6,
96,
2962,
5756,
7,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
96,
13725,
63,
121,
21680,
953,
834,
519,
3710,
3301,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
402,
17198,
13597,
2628,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Tell me the overall rank for roland schoeman | CREATE TABLE table_name_50 (
overall_rank VARCHAR,
swimmer VARCHAR
) | SELECT overall_rank FROM table_name_50 WHERE swimmer = "roland schoeman" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
1879,
834,
6254,
584,
4280,
28027,
6,
27424,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
1879,
11003,
21,
3,
3491,
232,
3,
7,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1879,
834,
6254,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
27424,
3274,
96,
3491,
232,
3,
7,
3995,
15,
348,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a scatter chart about the correlation between commission_pct and department_id . | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY... | SELECT COMMISSION_PCT, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2476,
41,
446,
10539,
834,
4309,
3,
4331,
4059,
599,
16968,
6,
446,
10539,
834,
382,
3177,
3765,
3,
4331,
4059,
599,
2469,
201,
3,
17684,
834,
134,
4090,
24721,
7908,
1982,
599,
11071,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
6657,
329,
16994,
9215,
834,
4051,
382,
6,
3396,
19846,
11810,
834,
4309,
21680,
1652,
549,
17444,
427,
4486,
3396,
19846,
11810,
834,
4309,
3388,
41,
23143,
14196,
3396,
19846,
11810,
834,
4309,
21680,
10521,
549,
1... |
List the amount of carbon emissions for models that go from 0-62 MPH in 8.5 seconds. | CREATE TABLE table_25837 (
"Model" text,
"Engine" text,
"Displacement" text,
"Max. power output" text,
"Peak torque" text,
"0\u2013100km/h,s 0-62mph,s" text,
"Top speed" text,
"CO 2 emissions" text,
"Years" text,
"Note" text,
"Engine code" text
) | SELECT "CO 2 emissions" FROM table_25837 WHERE "0\u2013100km/h,s 0-62mph,s" = '8.5' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3449,
4118,
41,
96,
24663,
121,
1499,
6,
96,
31477,
121,
1499,
6,
96,
23664,
11706,
297,
121,
1499,
6,
96,
21298,
5,
579,
3911,
121,
1499,
6,
96,
345,
15,
1639,
1952... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
5911,
204,
9830,
121,
21680,
953,
834,
357,
3449,
4118,
549,
17444,
427,
96,
632,
2,
76,
11138,
2915,
5848,
87,
107,
6,
7,
3,
9498,
4056,
7656,
6,
7,
121,
3274,
3,
31,
19253,
31,
1,
-100,
-100,
-100,
-100,
... |
What District has a Location of tharamani? | CREATE TABLE table_name_24 (district VARCHAR, location VARCHAR) | SELECT district FROM table_name_24 WHERE location = "tharamani" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
26,
23,
20066,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
3570,
65,
3,
9,
10450,
13,
3,
17,
14888,
348,
23,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3939,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
1128,
3274,
96,
17,
14888,
348,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What's the first elected year of the district that Ed Towns is an incumbent of? | CREATE TABLE table_1341453_34 (
first_elected VARCHAR,
incumbent VARCHAR
) | SELECT first_elected FROM table_1341453_34 WHERE incumbent = "Ed Towns" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2534,
4867,
834,
3710,
41,
166,
834,
19971,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
8,
166,
8160,
215,
13,
8,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
166,
834,
19971,
21680,
953,
834,
23747,
2534,
4867,
834,
3710,
549,
17444,
427,
28406,
3274,
96,
427,
26,
4463,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the date of the Greater Greensboro Chrysler Classic? | CREATE TABLE table_75100 (
"Date" text,
"Tournament" text,
"Location" text,
"Winner" text,
"Score" text,
"1st prize ( $ )" real
) | SELECT "Date" FROM table_75100 WHERE "Tournament" = 'greater greensboro chrysler classic' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3072,
2915,
41,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
18455,
687,
121,
1499,
6,
96,
134,
9022,
121... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
121,
21680,
953,
834,
3072,
2915,
549,
17444,
427,
96,
382,
1211,
20205,
17,
121,
3274,
3,
31,
20288,
49,
1442,
7,
14901,
3,
524,
651,
7,
1171,
2431,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many visitors in 2007 were there for ski jumping hill? | CREATE TABLE table_name_10 (_2007 VARCHAR, visitors INTEGER, type VARCHAR) | SELECT SUM(visitors), _2007 FROM table_name_10 WHERE type = "ski jumping hill" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1714,
41,
834,
20615,
584,
4280,
28027,
6,
2692,
3,
21342,
17966,
6,
686,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
2692,
16,
4101,
130,
132,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
3466,
23,
5535,
201,
3,
834,
20615,
21680,
953,
834,
4350,
834,
1714,
549,
17444,
427,
686,
3274,
96,
4009,
15539,
9956,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many results of the count of Latin Americans in Yukon in 2001 are there? | CREATE TABLE table_1939405_2 (latin_americans_2001 VARCHAR, province VARCHAR) | SELECT COUNT(latin_americans_2001) FROM table_1939405_2 WHERE province = "Yukon" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
3288,
591,
3076,
834,
357,
41,
14098,
834,
23064,
29,
7,
834,
23658,
584,
4280,
28027,
6,
7985,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
772,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
14098,
834,
23064,
29,
7,
834,
23658,
61,
21680,
953,
834,
2294,
3288,
591,
3076,
834,
357,
549,
17444,
427,
7985,
3274,
96,
476,
1598,
106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
If the rings are 60.500, what is the parallel bars number? | CREATE TABLE table_18662026_1 (parallel_bars VARCHAR, rings VARCHAR) | SELECT parallel_bars FROM table_18662026_1 WHERE rings = "60.500" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25398,
26898,
2688,
834,
536,
41,
1893,
13701,
40,
834,
1047,
7,
584,
4280,
28027,
6,
10631,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
156,
8,
10631,
33,
1640,
5,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
8449,
834,
1047,
7,
21680,
953,
834,
25398,
26898,
2688,
834,
536,
549,
17444,
427,
10631,
3274,
96,
3328,
5,
2560,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What player was chosen for the Chicago Sky? | CREATE TABLE table_name_57 (player VARCHAR, wnba_team VARCHAR) | SELECT player FROM table_name_57 WHERE wnba_team = "chicago sky" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
20846,
584,
4280,
28027,
6,
3,
210,
29,
115,
9,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
47,
3934,
21,
8,
3715,
5643... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
3,
210,
29,
115,
9,
834,
11650,
3274,
96,
1436,
658,
839,
5796,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What won best pc demo when tower power (camelot) won best c64 demo? | CREATE TABLE table_27181 (
"Year" text,
"Amiga demo" text,
"PC demo" text,
"C64 demo" text,
"Amiga intro" text,
"PC intro" text
) | SELECT "PC demo" FROM table_27181 WHERE "C64 demo" = 'Tower Power (Camelot)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
2606,
536,
41,
96,
476,
2741,
121,
1499,
6,
96,
8123,
12581,
8698,
121,
1499,
6,
96,
4051,
8698,
121,
1499,
6,
96,
254,
4389,
8698,
121,
1499,
6,
96,
8123,
12581,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
4051,
8698,
121,
21680,
953,
834,
2555,
2606,
536,
549,
17444,
427,
96,
254,
4389,
8698,
121,
3274,
3,
31,
3696,
3321,
2621,
41,
254,
265,
15,
3171,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the crowd with Away team of hawthorn? | CREATE TABLE table_name_94 (
crowd INTEGER,
away_team VARCHAR
) | SELECT AVG(crowd) FROM table_name_94 WHERE away_team = "hawthorn" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
4374,
3,
21342,
17966,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4374,
28,
71,
1343,
372,
13,
4244,
210,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
75,
3623,
26,
61,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
550,
834,
11650,
3274,
96,
1024,
210,
17,
6293,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the total number of home games played ? | CREATE TABLE table_203_534 (
id number,
"week" number,
"date" text,
"opponent" text,
"home/away" text,
"result" text,
"bye" text
) | SELECT COUNT(*) FROM table_203_534 WHERE "home/away" = 'home' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
755,
3710,
41,
3,
23,
26,
381,
6,
96,
8041,
121,
381,
6,
96,
5522,
121,
1499,
6,
96,
32,
102,
9977,
121,
1499,
6,
96,
5515,
87,
8006,
121,
1499,
6,
96,
60... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
23330,
834,
755,
3710,
549,
17444,
427,
96,
5515,
87,
8006,
121,
3274,
3,
31,
5515,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What shows for 202 when the 1994 is A, the 1989 is NME, and the 199 is 2R? | CREATE TABLE table_77382 (
"Tournament" text,
"1988" text,
"1989" text,
"1990" text,
"1991" text,
"1992" text,
"1993" text,
"1994" text,
"1995" text,
"1996" text,
"1997" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text... | SELECT "2002" FROM table_77382 WHERE "1994" = 'a' AND "1989" = 'nme' AND "1999" = '2r' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
3747,
357,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
2294,
4060,
121,
1499,
6,
96,
2294,
3914,
121,
1499,
6,
96,
2294,
2394,
121,
1499,
6,
96,
2294,
4729,
121... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
24898,
121,
21680,
953,
834,
4013,
3747,
357,
549,
17444,
427,
96,
19479,
20364,
3274,
3,
31,
9,
31,
3430,
96,
2294,
3914,
121,
3274,
3,
31,
29,
526,
31,
3430,
96,
2294,
3264,
121,
3274,
3,
31,
357,
52,
31,
... |
Which venues closed in the 1990s? | CREATE TABLE table_name_76 (
venue VARCHAR,
closed VARCHAR
) | SELECT venue FROM table_name_76 WHERE closed = "1990s" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
5669,
584,
4280,
28027,
6,
3168,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
11778,
3168,
16,
8,
5541,
7,
58,
1,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
3168,
3274,
96,
2294,
2394,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Name the opponent which has a home/away of home and date of july 27 | CREATE TABLE table_name_9 (
opponent VARCHAR,
home_away VARCHAR,
date VARCHAR
) | SELECT opponent FROM table_name_9 WHERE home_away = "home" AND date = "july 27" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
15264,
584,
4280,
28027,
6,
234,
834,
8006,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
15264,
84,
65,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
234,
834,
8006,
3274,
96,
5515,
121,
3430,
833,
3274,
96,
2047,
120,
2307,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
13.7 million watched the 22nd year . how many watched the previous year ? | CREATE TABLE table_204_996 (
id number,
"no." text,
"air date" text,
"network" text,
"household\nrating" number,
"viewers\n(millions)" text
) | SELECT "viewers\n(millions)" FROM table_204_996 WHERE "no." = 22 - 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
3264,
948,
41,
3,
23,
26,
381,
6,
96,
29,
32,
535,
1499,
6,
96,
2256,
833,
121,
1499,
6,
96,
1582,
1981,
121,
1499,
6,
96,
1840,
6134,
2,
29,
52,
1014,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
4576,
277,
2,
29,
599,
17030,
7,
61,
121,
21680,
953,
834,
26363,
834,
3264,
948,
549,
17444,
427,
96,
29,
32,
535,
3274,
1630,
3,
18,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which school is the player who is headed to Duke from? | CREATE TABLE table_name_68 (
school VARCHAR,
college VARCHAR
) | SELECT school FROM table_name_68 WHERE college = "duke" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
496,
584,
4280,
28027,
6,
1900,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
496,
19,
8,
1959,
113,
19,
7467,
12,
15090,
45,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
496,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
1900,
3274,
96,
1259,
1050,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Score on April 6? | CREATE TABLE table_name_71 (
score VARCHAR,
date VARCHAR
) | SELECT score FROM table_name_71 WHERE date = "april 6" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4450,
41,
2604,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
17763,
30,
1186,
431,
58,
1,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4450,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
431,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the highest grid when the race was retired due to the gearbox after 67 laps? | CREATE TABLE table_name_70 (
grid INTEGER,
time_retired VARCHAR,
laps VARCHAR
) | SELECT MAX(grid) FROM table_name_70 WHERE time_retired = "gearbox" AND laps > 67 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
8634,
3,
21342,
17966,
6,
97,
834,
10682,
1271,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
3496,
26,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
97,
834,
10682,
1271,
3274,
96,
397,
291,
2689,
121,
3430,
14941,
7,
2490,
3,
3708,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the rank of the company who has a revenue of $428.2 billion? | CREATE TABLE table_50640 (
"Rank" real,
"Company" text,
"Country" text,
"Industry" text,
"Revenue in USD" text
) | SELECT COUNT("Rank") FROM table_50640 WHERE "Revenue in USD" = '$428.2 billion' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1752,
23714,
41,
96,
22557,
121,
490,
6,
96,
5890,
2837,
63,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
1570,
8655,
8224,
121,
1499,
6,
96,
1649,
15098,
16,
9513,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
22557,
8512,
21680,
953,
834,
1752,
23714,
549,
17444,
427,
96,
1649,
15098,
16,
9513,
121,
3274,
3,
31,
3229,
591,
2577,
5,
357,
2108,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What team does Anthony Redmond ride for? | CREATE TABLE table_name_32 (
team VARCHAR,
rider VARCHAR
) | SELECT team FROM table_name_32 WHERE rider = "anthony redmond" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
372,
584,
4280,
28027,
6,
2564,
52,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
372,
405,
11016,
1624,
6764,
2564,
21,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
2564,
52,
3274,
96,
152,
189,
106,
63,
1131,
6764,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many documents in different ending date? Return a bar chart binning ending date by weekday, order y-axis from low to high order. | CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTE... | SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations ORDER BY COUNT(Date_in_Locaton_To) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
11167,
7,
834,
235,
834,
346,
834,
2962,
6626,
10093,
41,
11167,
834,
4309,
3,
21342,
17966,
6,
2973,
26853,
834,
23602,
127,
3375,
834,
969,
834,
427,
51,
7379,
63,
15,
15,
834,
430... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
7678,
834,
77,
834,
434,
32,
2138,
106,
834,
3696,
6,
2847,
17161,
599,
308,
342,
834,
77,
834,
434,
32,
2138,
106,
834,
3696,
61,
21680,
11167,
834,
434,
32,
75,
1628,
4674,
11300,
272,
476,
2847,
17161,
599,
308... |
find out the number of patients less than 79 years who have been diagnosed with wheelchair dependence. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "79" AND diagnoses.short_title = "Wheelchair dependence" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
what was the name of the drug to which patient 015-46307 was allergic since 83 months ago. | CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TA... | SELECT allergy.drugname FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-46307')) AND DATETIME(allergy.allergytime) >= DATETIME(CURRENT_TIME(), '... | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
11963,
670,
2562,
41,
11963,
670,
2562,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2358,
8292,
1499,
6,
2358,
40,
10333,
1499,
6,
2358,
7480,
35,
76,
17552,
381,
6,
11963,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
23886,
5,
26,
13534,
4350,
21680,
23886,
549,
17444,
427,
23886,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15129,
21545,
23,
26,
21680,
1868,
549,
17444,
427,
1868,
5,
10061,
15878,
3734,
... |
What power belongs to the LP Class and has an Identifier of CBLI? | CREATE TABLE table_41022 (
"City of license" text,
"Identifier" text,
"Frequency" text,
"Power" text,
"Class" text,
"RECNet" text
) | SELECT "Power" FROM table_41022 WHERE "Class" = 'lp' AND "Identifier" = 'cbli' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24175,
2884,
41,
96,
254,
485,
13,
3344,
121,
1499,
6,
96,
21153,
7903,
121,
1499,
6,
96,
371,
60,
835,
11298,
121,
1499,
6,
96,
23553,
121,
1499,
6,
96,
21486,
121,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
23553,
121,
21680,
953,
834,
24175,
2884,
549,
17444,
427,
96,
21486,
121,
3274,
3,
31,
40,
102,
31,
3430,
96,
21153,
7903,
121,
3274,
3,
31,
75,
7437,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the Year won for the player with a larger than 4 To par and less the 157 Total? | CREATE TABLE table_41508 (
"Player" text,
"Country" text,
"Year won" real,
"Total" real,
"To par" real
) | SELECT "Year won" FROM table_41508 WHERE "To par" > '4' AND "Total" < '157' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
1808,
4018,
41,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
476,
2741,
751,
121,
490,
6,
96,
3696,
1947,
121,
490,
6,
96,
3696,
260,
121,
490,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
476,
2741,
751,
121,
21680,
953,
834,
591,
1808,
4018,
549,
17444,
427,
96,
3696,
260,
121,
2490,
3,
31,
591,
31,
3430,
96,
3696,
1947,
121,
3,
2,
3,
31,
27452,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the area of Austria's territory in square kilometers? | CREATE TABLE table_24066938_1 (
area_km_2 VARCHAR,
member_state VARCHAR
) | SELECT area_km_2 FROM table_24066938_1 WHERE member_state = "Austria" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
5176,
3951,
3747,
834,
536,
41,
616,
834,
5848,
834,
357,
584,
4280,
28027,
6,
1144,
834,
5540,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
61... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
616,
834,
5848,
834,
357,
21680,
953,
834,
2266,
5176,
3951,
3747,
834,
536,
549,
17444,
427,
1144,
834,
5540,
3274,
96,
14934,
1788,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the production number of the episode titel of pre-hysterical hare? | CREATE TABLE table_name_76 (
production_number VARCHAR,
title VARCHAR
) | SELECT COUNT(production_number) FROM table_name_76 WHERE title = "pre-hysterical hare" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
999,
834,
5525,
1152,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
999,
381,
13,
8,
5640,
3,
28993,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
20762,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
2233,
3274,
96,
2026,
18,
107,
63,
1370,
1950,
3,
3272,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
how many of the versions are over 6 minutes ? | CREATE TABLE table_203_289 (
id number,
"version" text,
"length" text,
"album" text,
"remixed by" text,
"year" number,
"comment" text
) | SELECT COUNT("version") FROM table_203_289 WHERE "length" >= 6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
357,
3914,
41,
3,
23,
26,
381,
6,
96,
8674,
121,
1499,
6,
96,
19457,
121,
1499,
6,
96,
23703,
121,
1499,
6,
96,
60,
13682,
15,
26,
57,
121,
1499,
6,
96,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
8674,
8512,
21680,
953,
834,
23330,
834,
357,
3914,
549,
17444,
427,
96,
19457,
121,
2490,
2423,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the sum of Points, when Played is less than 114, when Team is Gimnasia De Jujuy, and when 1994-1995 is less than 32? | CREATE TABLE table_9671 (
"Team" text,
"Average" real,
"Points" real,
"Played" real,
"1992-93" text,
"1993-94" text,
"1994-1995" real
) | SELECT SUM("Points") FROM table_9671 WHERE "Played" < '114' AND "Team" = 'gimnasia de jujuy' AND "1994-1995" < '32' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4314,
4450,
41,
96,
18699,
121,
1499,
6,
96,
188,
624,
545,
121,
490,
6,
96,
22512,
7,
121,
490,
6,
96,
15800,
15,
26,
121,
490,
6,
96,
19479,
7412,
4271,
121,
1499,
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... | [
3,
23143,
14196,
180,
6122,
599,
121,
22512,
7,
8512,
21680,
953,
834,
4314,
4450,
549,
17444,
427,
96,
15800,
15,
26,
121,
3,
2,
3,
31,
18959,
31,
3430,
96,
18699,
121,
3274,
3,
31,
122,
603,
29,
15974,
20,
3,
2047,
2047,
63,
... |
How many years has an engine of audi 3.6l turbo v8 and 1st as the rank with an audi r8r as the chassis? | CREATE TABLE table_name_10 (
year VARCHAR,
chassis VARCHAR,
engine VARCHAR,
rank VARCHAR
) | SELECT COUNT(year) FROM table_name_10 WHERE engine = "audi 3.6l turbo v8" AND rank = "1st" AND chassis = "audi r8r" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1714,
41,
215,
584,
4280,
28027,
6,
22836,
584,
4280,
28027,
6,
1948,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1201,
61,
21680,
953,
834,
4350,
834,
1714,
549,
17444,
427,
1948,
3274,
96,
9,
5291,
3,
23074,
40,
20353,
3,
208,
927,
121,
3430,
11003,
3274,
96,
536,
7,
17,
121,
3430,
22836,
3274,
96,
9,
5291... |
Give the number of elective hospital admission patients on a heparin (iabp) prescription. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND prescriptions.drug = "Heparin (IABP)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
Bar chart x axis year y axis total number of avg(price), order in desc by the sum avg(price). | CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
)
CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases IN... | SELECT Year, SUM(AVG(Price)) FROM wine ORDER BY SUM(AVG(Price)) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8319,
6105,
7,
41,
465,
3,
21342,
17966,
6,
3,
27794,
257,
3,
3463,
4,
382,
6,
1334,
3,
3463,
4,
382,
6,
1015,
3,
3463,
4,
382,
6,
5690,
3,
3463,
4,
382,
6,
19,
6968,
188,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2929,
6,
180,
6122,
599,
188,
17217,
599,
345,
4920,
61,
61,
21680,
2013,
4674,
11300,
272,
476,
180,
6122,
599,
188,
17217,
599,
345,
4920,
61,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
provide the number of patients whose admission type is elective and insurance is medicaid? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Medicaid" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
9,
26,
5451,
834,
6137,
3274,
96,
3577,
14196,
8087,
121,
3430,
14798,
5,
29441,
3274,
96,
15789,
... |
WHAT SCHOOL DID THE PLAYER FROM SOUTH CAROLINA ATTEND? | CREATE TABLE table_17069 (
"Player" text,
"Position" text,
"School" text,
"Hometown" text,
"College" text
) | SELECT "School" FROM table_17069 WHERE "College" = 'South Carolina' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
536,
2518,
3951,
41,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
29364,
121,
1499,
6,
96,
19040,
3540,
121,
1499,
6,
96,
9939,
7883,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
29364,
121,
21680,
953,
834,
536,
2518,
3951,
549,
17444,
427,
96,
9939,
7883,
121,
3274,
3,
31,
22081,
5089,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What position did the player from Baylor play? | CREATE TABLE table_10015132_1 (position VARCHAR, school_club_team VARCHAR) | SELECT position FROM table_10015132_1 WHERE school_club_team = "Baylor" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2915,
1808,
23757,
834,
536,
41,
4718,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1102,
410,
8,
1959,
45,
247... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1102,
21680,
953,
834,
2915,
1808,
23757,
834,
536,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
279,
9,
63,
322,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Was there a reissue with a release date of 1954-09-04 having a production number more than 1289 and a director of Robert McKimson? | CREATE TABLE table_66357 (
"Title" text,
"Series" text,
"Director" text,
"Production Number" real,
"Release date" text,
"reissue?" text
) | SELECT "reissue?" FROM table_66357 WHERE "Director" = 'robert mckimson' AND "Production Number" > '1289' AND "Release date" = '1954-09-04' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
519,
3436,
41,
96,
382,
155,
109,
121,
1499,
6,
96,
12106,
7,
121,
1499,
6,
96,
23620,
127,
121,
1499,
6,
96,
3174,
8291,
7720,
121,
490,
6,
96,
1649,
40,
14608,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
60,
13159,
4609,
21680,
953,
834,
3539,
519,
3436,
549,
17444,
427,
96,
23620,
127,
121,
3274,
3,
31,
5840,
49,
17,
3,
51,
2406,
603,
739,
31,
3430,
96,
3174,
8291,
7720,
121,
2490,
3,
31,
2122,
3914,
31,
34... |
What are the top 10 states that have the highest average math score and federal revenue they got through different categories? | CREATE TABLE finrev_fed_17 (
state_code number,
idcensus number,
school_district text,
nces_id text,
yr_data number,
t_fed_rev number,
c14 number,
c25 number
)
CREATE TABLE finrev_fed_key_17 (
state_code number,
state text,
#_records text
)
CREATE TABLE ndecoreexcel_math_gr... | SELECT T2.state, SUM(c14), SUM(c25) FROM finrev_fed_17 AS T1 JOIN finrev_fed_key_17 AS T2 ON T1.state_code = T2.state_code JOIN ndecoreexcel_math_grade8 AS T3 ON T2.state = T3.state GROUP BY T2.state ORDER BY T3.average_scale_score DESC LIMIT 10 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2202,
60,
208,
834,
19565,
834,
2517,
41,
538,
834,
4978,
381,
6,
3,
23,
26,
75,
35,
7,
302,
381,
6,
496,
834,
26,
23,
20066,
1499,
6,
3,
3772,
7,
834,
23,
26,
1499,
6,
3,
63... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
4416,
5540,
6,
180,
6122,
599,
75,
2534,
201,
180,
6122,
599,
75,
1828,
61,
21680,
2202,
60,
208,
834,
19565,
834,
2517,
6157,
332,
536,
3,
15355,
3162,
2202,
60,
208,
834,
19565,
834,
4397,
834,
2517,
6157,
... |
What was the record at the game held on December 24, 2005? | CREATE TABLE table_name_11 (
record VARCHAR,
date VARCHAR
) | SELECT record FROM table_name_11 WHERE date = "december 24, 2005" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2596,
41,
1368,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1368,
44,
8,
467,
1213,
30,
1882,
14320,
3105,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1368,
21680,
953,
834,
4350,
834,
2596,
549,
17444,
427,
833,
3274,
96,
221,
75,
18247,
14320,
3105,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who is the president from the Union for a Popular Movement party that represents the Hautes-Alpes department? | CREATE TABLE table_76676 (
"Number" text,
"D\u00e9partment (or collectivity)" text,
"Pr\u00e9sident" text,
"Party" text,
"Since" real
) | SELECT "Pr\u00e9sident" FROM table_76676 WHERE "Party" = 'union for a popular movement' AND "D\u00e9partment (or collectivity)" = 'hautes-alpes' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
3539,
3959,
41,
96,
567,
5937,
49,
121,
1499,
6,
96,
308,
2,
76,
1206,
15,
1298,
2274,
297,
41,
127,
2868,
10696,
61,
121,
1499,
6,
96,
345,
52,
2,
76,
1206,
15,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
345,
52,
2,
76,
1206,
15,
1298,
7,
4215,
121,
21680,
953,
834,
940,
3539,
3959,
549,
17444,
427,
96,
13725,
63,
121,
3274,
3,
31,
16598,
21,
3,
9,
1012,
2426,
31,
3430,
96,
308,
2,
76,
1206,
15,
1298,
2274... |
what is the gold when silver is 1, event is 2000 summer paralympics and bronze is more than 3? | CREATE TABLE table_43798 (
"Event" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
) | SELECT AVG("Gold") FROM table_43798 WHERE "Silver" = '1' AND "Event" = '2000 summer paralympics' AND "Bronze" > '3' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
4118,
3916,
41,
96,
427,
2169,
121,
1499,
6,
96,
23576,
121,
490,
6,
96,
134,
173,
624,
121,
490,
6,
96,
22780,
29,
776,
121,
490,
6,
96,
3696,
1947,
121,
490,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
23576,
8512,
21680,
953,
834,
591,
4118,
3916,
549,
17444,
427,
96,
134,
173,
624,
121,
3274,
3,
31,
536,
31,
3430,
96,
427,
2169,
121,
3274,
3,
31,
13527,
1248,
3856,
120,
51,
6174,
7,
31,
... |
Tell me the average wins for class of 50cc and rank of 8th | CREATE TABLE table_name_47 (
wins INTEGER,
class VARCHAR,
rank VARCHAR
) | SELECT AVG(wins) FROM table_name_47 WHERE class = "50cc" AND rank = "8th" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
9204,
3,
21342,
17966,
6,
853,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
1348,
9204,
21,
853,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
3757,
7,
61,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
853,
3274,
96,
1752,
75,
75,
121,
3430,
11003,
3274,
96,
927,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
With order number 7 and the theme is Motown, who were the original artists? | CREATE TABLE table_24428 (
"Week #" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" text,
"Result" text
) | SELECT "Original artist" FROM table_24428 WHERE "Order #" = '7' AND "Theme" = 'Motown' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3628,
2577,
41,
96,
518,
10266,
1713,
121,
1499,
6,
96,
634,
526,
121,
1499,
6,
96,
134,
2444,
1160,
121,
1499,
6,
96,
667,
3380,
10270,
2377,
121,
1499,
6,
96,
7395... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
3380,
10270,
2377,
121,
21680,
953,
834,
357,
3628,
2577,
549,
17444,
427,
96,
7395,
588,
1713,
121,
3274,
3,
31,
940,
31,
3430,
96,
634,
526,
121,
3274,
3,
31,
329,
32,
3540,
31,
1,
-100,
-100,
-100,
-... |
What is the born-died that has office of 13 September 1229 as the entered? | CREATE TABLE table_name_8 (born_died VARCHAR, entered_office VARCHAR) | SELECT born_died FROM table_name_8 WHERE entered_office = "13 september 1229" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
7473,
834,
2498,
26,
584,
4280,
28027,
6,
5136,
834,
19632,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2170,
18,
2498,
26,
24,
65,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2170,
834,
2498,
26,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
5136,
834,
19632,
3274,
96,
2368,
16022,
18247,
586,
3166,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Venue has a Competition of european championships, and a Position of 7th? | CREATE TABLE table_name_22 (
venue VARCHAR,
competition VARCHAR,
position VARCHAR
) | SELECT venue FROM table_name_22 WHERE competition = "european championships" AND position = "7th" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
5669,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
29940,
65,
3,
9,
15571,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
2259,
3274,
96,
28188,
152,
10183,
7,
121,
3430,
1102,
3274,
96,
940,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the played with losing bonus of 3 and points against of 426 | CREATE TABLE table_6333 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
) | SELECT "Played" FROM table_6333 WHERE "Losing bonus" = '3' AND "Points against" = '426' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
4201,
41,
96,
254,
11158,
121,
1499,
6,
96,
15800,
15,
26,
121,
1499,
6,
96,
308,
10936,
29,
121,
1499,
6,
96,
434,
3481,
121,
1499,
6,
96,
22512,
7,
21,
121,
149... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
15800,
15,
26,
121,
21680,
953,
834,
3891,
4201,
549,
17444,
427,
96,
434,
32,
7,
53,
4023,
121,
3274,
3,
31,
519,
31,
3430,
96,
22512,
7,
581,
121,
3274,
3,
31,
591,
2688,
31,
1,
-100,
-100,
-100,
-100,
-... |
who is team 1 when team 2 is usl dunkerque (d2)? | CREATE TABLE table_14203 (
"Team 1" text,
"Score" text,
"Team 2" text,
"1st round" text,
"2nd round" text
) | SELECT "Team 1" FROM table_14203 WHERE "Team 2" = 'usl dunkerque (d2)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2534,
23330,
41,
96,
18699,
209,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
18699,
204,
121,
1499,
6,
96,
536,
7,
17,
1751,
121,
1499,
6,
96,
357,
727,
1751,
121,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
18699,
209,
121,
21680,
953,
834,
2534,
23330,
549,
17444,
427,
96,
18699,
204,
121,
3274,
3,
31,
302,
40,
146,
29,
2304,
835,
41,
26,
7318,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the score of the game where the record was 2-2? | CREATE TABLE table_name_76 (score VARCHAR, record VARCHAR) | SELECT score FROM table_name_76 WHERE record = "2-2" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
7,
9022,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2604,
13,
8,
467,
213,
8,
1368,
47,
3,
22451,
58... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
1368,
3274,
96,
22451,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Where was the location and what was the attendance in the game that Anthony Parker (7) earned high assists? | CREATE TABLE table_21535 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Location Attendance" FROM table_21535 WHERE "High assists" = 'Anthony Parker (7)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
1808,
2469,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
75,
257,
22497,
663,
121,
21680,
953,
834,
357,
1808,
2469,
549,
17444,
427,
96,
21417,
13041,
121,
3274,
3,
31,
188,
29,
189,
106,
63,
13156,
3,
24358,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is latitude when 2010 population is 24 and water is more than 0.319? | CREATE TABLE table_name_24 (
latitude INTEGER,
pop__2010_ VARCHAR,
water__sqmi_ VARCHAR
) | SELECT MAX(latitude) FROM table_name_24 WHERE pop__2010_ = 24 AND water__sqmi_ > 0.319 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
50,
6592,
3,
21342,
17966,
6,
2783,
834,
834,
14926,
834,
584,
4280,
28027,
6,
387,
834,
834,
7,
1824,
51,
23,
834,
584,
4280,
28027,
3,
61,
3,
32102... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
521,
6592,
61,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
2783,
834,
834,
14926,
834,
3274,
997,
3430,
387,
834,
834,
7,
1824,
51,
23,
834,
2490,
3,
19997,
2294,
1,
-100,
-100,
-100,
-100,
-1... |
For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the average of salary bin hire_date by weekday in a bar chart. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10521,
41,
3396,
19846,
11810,
834,
4309,
7908,
1982,
599,
8525,
632,
201,
3396,
19846,
11810,
834,
567,
17683,
3,
4331,
4059,
599,
1458,
201,
283,
15610,
17966,
834,
4309,
7908,
1982,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
454,
14132,
834,
308,
6048,
6,
71,
17217,
599,
134,
4090,
24721,
61,
21680,
1652,
549,
17444,
427,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
1454,
308,
1454,
31,
4674,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
145... |
What is the highest population within the municipality of Porsgrunn? | CREATE TABLE table_name_28 (population INTEGER, municipality VARCHAR) | SELECT MAX(population) FROM table_name_28 WHERE municipality = "porsgrunn" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
9791,
7830,
3,
21342,
17966,
6,
27597,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
2074,
441,
8,
27597,
13,
9731,
7,
9667,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
9791,
7830,
61,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
27597,
3274,
96,
102,
127,
7,
9667,
29,
29,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Show the number of gas stations for each manager in a bar chart, and show by the names in ascending. | CREATE TABLE gas_station (
Station_ID int,
Open_Year int,
Location text,
Manager_Name text,
Vice_Manager_Name text,
Representative_Name text
)
CREATE TABLE station_company (
Station_ID int,
Company_ID int,
Rank_of_the_Year int
)
CREATE TABLE company (
Company_ID int,
Rank i... | SELECT Manager_Name, COUNT(Manager_Name) FROM gas_station GROUP BY Manager_Name ORDER BY Manager_Name | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1807,
834,
6682,
41,
5939,
834,
4309,
16,
17,
6,
2384,
834,
476,
2741,
16,
17,
6,
10450,
1499,
6,
3440,
834,
23954,
1499,
6,
8236,
834,
27272,
834,
23954,
1499,
6,
13517,
834,
23954,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3440,
834,
23954,
6,
2847,
17161,
599,
27272,
834,
23954,
61,
21680,
1807,
834,
6682,
350,
4630,
6880,
272,
476,
3440,
834,
23954,
4674,
11300,
272,
476,
3440,
834,
23954,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total number of rounds that UCLA has? | CREATE TABLE table_52094 (
"Round" real,
"Pick" real,
"Name" text,
"Position" text,
"School" text
) | SELECT COUNT("Round") FROM table_52094 WHERE "School" = 'ucla' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25356,
4240,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
345,
3142,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
29364,
121,
1499,
3,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
121,
448,
32,
1106,
8512,
21680,
953,
834,
25356,
4240,
549,
17444,
427,
96,
29364,
121,
3274,
3,
31,
76,
4651,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which event had the record of 18 5 (1)? | CREATE TABLE table_name_18 (
event VARCHAR,
record VARCHAR
) | SELECT event FROM table_name_18 WHERE record = "18–5 (1)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2606,
41,
605,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
605,
141,
8,
1368,
13,
507,
305,
5637,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
605,
21680,
953,
834,
4350,
834,
2606,
549,
17444,
427,
1368,
3274,
96,
2606,
104,
755,
5637,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the june 14, 2009 stat where october 20, 2008 stat is november 15, 2010 | CREATE TABLE table_22376 (
"Mexico" text,
"Ma\u00f1ana es para siempre" text,
"El Canal de las Estrellas" text,
"October 20, 2008" text,
"June 14, 2009" text,
"Monday to Friday" text
) | SELECT "June 14, 2009" FROM table_22376 WHERE "October 20, 2008" = 'November 15, 2010' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
2773,
3959,
41,
96,
329,
994,
5807,
121,
1499,
6,
96,
329,
9,
2,
76,
1206,
89,
536,
152,
9,
3,
15,
7,
3856,
108,
25569,
121,
1499,
6,
96,
10991,
18565,
20,
50,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
683,
444,
11363,
2464,
121,
21680,
953,
834,
357,
2773,
3959,
549,
17444,
427,
96,
28680,
16047,
2628,
121,
3274,
3,
31,
28635,
10725,
2735,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who is listed as the Winners with a Year of 2005? | CREATE TABLE table_15303 (
"Year" text,
"Venue" text,
"Winners" text,
"2nd place" text,
"3rd place" text
) | SELECT "Winners" FROM table_15303 WHERE "Year" = '2005' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
23335,
41,
96,
476,
2741,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
18455,
687,
7,
121,
1499,
6,
96,
357,
727,
286,
121,
1499,
6,
96,
519,
52,
26,
28... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
18455,
687,
7,
121,
21680,
953,
834,
1808,
23335,
549,
17444,
427,
96,
476,
2741,
121,
3274,
3,
31,
22594,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
which utility vehicle has the most number in service ? | CREATE TABLE table_204_295 (
id number,
"model" text,
"origin" text,
"type" text,
"version" text,
"in service" number,
"notes" text
) | SELECT "model" FROM table_204_295 ORDER BY "in service" DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
357,
3301,
41,
3,
23,
26,
381,
6,
96,
21770,
121,
1499,
6,
96,
32,
3380,
77,
121,
1499,
6,
96,
6137,
121,
1499,
6,
96,
8674,
121,
1499,
6,
96,
77,
313,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
21770,
121,
21680,
953,
834,
26363,
834,
357,
3301,
4674,
11300,
272,
476,
96,
77,
313,
121,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Find the product category description of the product category with code 'Spices'. | CREATE TABLE product_characteristics (
product_id number,
characteristic_id number,
product_characteristic_value text
)
CREATE TABLE products (
product_id number,
color_code text,
product_category_code text,
product_name text,
typical_buying_price text,
typical_selling_price text,
... | SELECT product_category_description FROM ref_product_categories WHERE product_category_code = "Spices" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
556,
834,
31886,
3040,
7,
41,
556,
834,
23,
26,
381,
6,
16115,
834,
23,
26,
381,
6,
556,
834,
31886,
3040,
834,
12097,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
556,
834,
8367,
839,
651,
834,
221,
11830,
21680,
6273,
834,
15892,
834,
8367,
839,
2593,
549,
17444,
427,
556,
834,
8367,
839,
651,
834,
4978,
3274,
96,
134,
6174,
15,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is Record, when High Points is 'Ray Allen (20)'? | CREATE TABLE table_9010 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Record" FROM table_9010 WHERE "High points" = 'ray allen (20)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2394,
1714,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
13041,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
1649,
7621,
121,
21680,
953,
834,
2394,
1714,
549,
17444,
427,
96,
21417,
979,
121,
3274,
3,
31,
2866,
6127,
17543,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many games did the broncos win in 1998 by more than 10 points ? | CREATE TABLE table_203_114 (
id number,
"week" number,
"date" text,
"tv time" text,
"opponent" text,
"result" text,
"game site" text,
"record" text,
"attendance" number,
"bye" text
) | SELECT COUNT(*) FROM table_203_114 WHERE "result" - "result" > 10 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
18959,
41,
3,
23,
26,
381,
6,
96,
8041,
121,
381,
6,
96,
5522,
121,
1499,
6,
96,
17,
208,
97,
121,
1499,
6,
96,
32,
102,
9977,
121,
1499,
6,
96,
60,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
23330,
834,
18959,
549,
17444,
427,
96,
60,
7,
83,
17,
121,
3,
18,
96,
60,
7,
83,
17,
121,
2490,
335,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Game has a Score of 101-109 (ot)? | CREATE TABLE table_47732 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location/Attendance" text,
"Record" text
) | SELECT AVG("Game") FROM table_47732 WHERE "Score" = '101-109 (ot)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
4013,
2668,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
23055,
8512,
21680,
953,
834,
591,
4013,
2668,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
19621,
18,
17304,
41,
32,
17,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the total number of ground for essendon | CREATE TABLE table_20750 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Date" text,
"Crowd" real
) | SELECT COUNT("Ground") FROM table_20750 WHERE "Home team" = 'Essendon' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1755,
9979,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
517,
7775,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
517,
7775,
8512,
21680,
953,
834,
1755,
9979,
549,
17444,
427,
96,
19040,
372,
121,
3274,
3,
31,
427,
4932,
2029,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was Fred Couples' score? | CREATE TABLE table_name_15 (score VARCHAR, player VARCHAR) | SELECT COUNT(score) FROM table_name_15 WHERE player = "fred couples" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
7,
9022,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
12264,
25185,
7,
31,
2604,
58,
1,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
7,
9022,
61,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
1959,
3274,
96,
89,
1271,
11992,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the attendance before week 1? | CREATE TABLE table_47390 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
) | SELECT COUNT("Attendance") FROM table_47390 WHERE "Week" < '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4177,
519,
2394,
41,
96,
518,
10266,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
17,
324,
26,
663,
121,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
121,
188,
17,
324,
26,
663,
8512,
21680,
953,
834,
4177,
519,
2394,
549,
17444,
427,
96,
518,
10266,
121,
3,
2,
3,
31,
536,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the tie no when scunthorpe united was the away team? | CREATE TABLE table_name_6 (
tie_no VARCHAR,
away_team VARCHAR
) | SELECT tie_no FROM table_name_6 WHERE away_team = "scunthorpe united" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
6177,
834,
29,
32,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
6177,
150,
116,
3,
7,
75,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6177,
834,
29,
32,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
550,
834,
11650,
3274,
96,
7,
75,
202,
189,
127,
855,
18279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the Height for Years of Rockets of 2005-06? | CREATE TABLE table_name_44 (
height_in_ft VARCHAR,
years_for_rockets VARCHAR
) | SELECT height_in_ft FROM table_name_44 WHERE years_for_rockets = "2005-06" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
3902,
834,
77,
834,
89,
17,
584,
4280,
28027,
6,
203,
834,
1161,
834,
6133,
15,
17,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3902,
834,
77,
834,
89,
17,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
203,
834,
1161,
834,
6133,
15,
17,
7,
3274,
96,
22594,
18,
5176,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Who was the winning driver of the Circuit of Lausitzring? | CREATE TABLE table_name_15 (
winning_driver VARCHAR,
circuit VARCHAR
) | SELECT winning_driver FROM table_name_15 WHERE circuit = "lausitzring" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
3447,
834,
13739,
52,
584,
4280,
28027,
6,
4558,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
3447,
2535,
13,
8,
17007,
13,
184... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3447,
834,
13739,
52,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
4558,
3274,
96,
40,
402,
10252,
1007,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Tournament, when 2001 is "1R"? | CREATE TABLE table_name_48 (tournament VARCHAR) | SELECT tournament FROM table_name_48 WHERE 2001 = "1r" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
17,
1211,
20205,
17,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
20502,
6,
116,
4402,
19,
96,
536,
448,
121,
58,
1,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5892,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
4402,
3274,
96,
536,
52,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Name the winning pilot for hungary | CREATE TABLE table_23498 (
"Round" real,
"Location" text,
"Country" text,
"Date" text,
"Fastest Qualifying" text,
"Winning Pilot" text,
"Winning Aircraft" text
) | SELECT "Winning Pilot" FROM table_23498 WHERE "Country" = 'Hungary' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3710,
3916,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
371,
9,
7,
4377... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
518,
10503,
17777,
121,
21680,
953,
834,
357,
3710,
3916,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
566,
425,
1208,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the number of patients whose year of birth is less than 1850 and diagnoses short title is intestinal obstruct nos? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dob_year < "1850" AND diagnoses.short_title = "Intestinal obstruct NOS" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.