NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
count the number of patients whose gender is f and primary disease is coronary artery disease\coronary artery bypass graft; myomectomy/sda? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" | [
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,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
371,
121,
3430,
14798,
5,
25930,
4844,
159,
3274,
96,
5911,
13044,
24721,
111... |
What is total number of show times per dat for each cinema? | CREATE TABLE film (
film_id number,
rank_in_series number,
number_in_season number,
title text,
directed_by text,
original_air_date text,
production_code text
)
CREATE TABLE schedule (
cinema_id number,
film_id number,
date text,
show_times_per_day number,
price number
)... | SELECT T2.name, SUM(T1.show_times_per_day) FROM schedule AS T1 JOIN cinema AS T2 ON T1.cinema_id = T2.cinema_id GROUP BY T1.cinema_id | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
814,
41,
814,
834,
23,
26,
381,
6,
11003,
834,
77,
834,
10833,
7,
381,
6,
381,
834,
77,
834,
9476,
381,
6,
2233,
1499,
6,
6640,
834,
969,
1499,
6,
926,
834,
2256,
834,
5522,
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,
332,
4416,
4350,
6,
180,
6122,
599,
382,
5411,
10049,
834,
715,
7,
834,
883,
834,
1135,
61,
21680,
2023,
6157,
332,
536,
3,
15355,
3162,
10276,
6157,
332,
357,
9191,
332,
5411,
14760,
51,
9,
834,
23,
26,
3274,
332... |
Which Payment has a Type of text, and a Release date of 26 september, 2003? | CREATE TABLE table_name_12 (
payment VARCHAR,
type VARCHAR,
release_date VARCHAR
) | SELECT payment FROM table_name_12 WHERE type = "text" AND release_date = "26 september, 2003" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
1942,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
6,
1576,
834,
5522,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
12248,
65,
3,
9,
66... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
1942,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
686,
3274,
96,
6327,
121,
3430,
1576,
834,
5522,
3274,
96,
2688,
16022,
18247,
6,
3888,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who was the away team when the home team scored 10.12 (72)? | CREATE TABLE table_33310 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team" FROM table_33310 WHERE "Home team score" = '10.12 (72)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23360,
1714,
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,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
188,
1343,
372,
121,
21680,
953,
834,
23360,
1714,
549,
17444,
427,
96,
19040,
372,
2604,
121,
3274,
3,
31,
22567,
357,
13649,
7318,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total attendance on April 25? | CREATE TABLE table_name_28 (attendance VARCHAR, date VARCHAR) | SELECT COUNT(attendance) FROM table_name_28 WHERE date = "april 25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
15116,
663,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
11364,
30,
1186,
944,
58,
1,
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,
2847,
17161,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
944,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
In the Year 1939, what was the Finish when Al was the League? | CREATE TABLE table_name_88 (finish VARCHAR, league VARCHAR, year VARCHAR) | SELECT finish FROM table_name_88 WHERE league = "al" AND year = 1939 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
25535,
584,
4280,
28027,
6,
5533,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
86,
8,
2929,
957,
3288,
6,
125,
47,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1992,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
5533,
3274,
96,
138,
121,
3430,
215,
3274,
957,
3288,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the total years with more than 1 points? | CREATE TABLE table_name_2 (
year INTEGER,
points INTEGER
) | SELECT SUM(year) FROM table_name_2 WHERE points > 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
215,
3,
21342,
17966,
6,
979,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
203,
28,
72,
145,
209,
979,
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,
1,
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,
180,
6122,
599,
1201,
61,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
979,
2490,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many silver medals were won in 1938? | CREATE TABLE table_name_42 (silver VARCHAR, year VARCHAR) | SELECT silver FROM table_name_42 WHERE year = "1938" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4165,
41,
7,
173,
624,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4294,
9365,
7,
130,
751,
16,
25745,
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,
1,
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,
4294,
21680,
953,
834,
4350,
834,
4165,
549,
17444,
427,
215,
3274,
96,
2294,
3747,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where was the London Marathon held? | CREATE TABLE table_name_19 (
venue VARCHAR,
event VARCHAR,
competition VARCHAR
) | SELECT venue FROM table_name_19 WHERE event = "marathon" AND competition = "london marathon" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
5669,
584,
4280,
28027,
6,
605,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2840,
47,
8,
1524,
19012,
1213,
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,
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,
2294,
549,
17444,
427,
605,
3274,
96,
1635,
24718,
121,
3430,
2259,
3274,
96,
40,
106,
2029,
17625,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is diagnoses long title and procedure long title of subject id 83678? | 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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT diagnoses.long_title, procedures.long_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "83678" | [
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,
18730,
7,
5,
2961,
834,
21869,
6,
4293,
5,
2961,
834,
21869,
21680,
18730,
7,
3388,
18206,
3,
15355,
3162,
4293,
9191,
18730,
7,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,
427,
1... |
how many drugs were prescribed to patient 035-10830 until 2104? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number... | SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-10830')) AND STRFTIME('%y', medication.drugstarttime) <= '2104' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
50,
9824,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
7690,
4350,
1499,
6,
50,
1999,
7,
83,
17,
381,
6,
50,
1999,
7,
83,
17,
715,
97,
3,
61,
3,
32102,
32103,
32102,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
7757,
549,
17444,
427,
7757,
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,
... |
how many bubbles with category being input | CREATE TABLE table_1507852_5 (bubbles VARCHAR, category VARCHAR) | SELECT COUNT(bubbles) FROM table_1507852_5 WHERE category = "Input" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
12278,
3940,
5373,
834,
755,
41,
3007,
7310,
7,
584,
4280,
28027,
6,
3295,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
149,
186,
11144,
7,
28,
3295,
271,
3785,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
2847,
17161,
599,
3007,
7310,
7,
61,
21680,
953,
834,
12278,
3940,
5373,
834,
755,
549,
17444,
427,
3295,
3274,
96,
1570,
2562,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When 3 is the number what is the highest total? | CREATE TABLE table_24781886_3 (
total INTEGER,
_number VARCHAR
) | SELECT MAX(total) FROM table_24781886_3 WHERE _number = 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
3940,
2606,
3840,
834,
519,
41,
792,
3,
21342,
17966,
6,
3,
834,
5525,
1152,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
220,
19,
8,
381,
125,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
235,
1947,
61,
21680,
953,
834,
2266,
3940,
2606,
3840,
834,
519,
549,
17444,
427,
3,
834,
5525,
1152,
3274,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
List the name and count of each product in all orders. | CREATE TABLE orders (order_id VARCHAR); CREATE TABLE products (product_name VARCHAR, product_id VARCHAR); CREATE TABLE order_items (order_id VARCHAR, product_id VARCHAR) | SELECT T3.product_name, COUNT(*) FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5022,
41,
9397,
834,
23,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
494,
41,
15892,
834,
4350,
584,
4280,
28027,
6,
556,
834,
23,
26,
584,
4280,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
5787,
15892,
834,
4350,
6,
2847,
17161,
599,
1935,
61,
21680,
5022,
6157,
332,
536,
3,
15355,
3162,
455,
834,
23,
3524,
7,
6157,
332,
357,
3,
15355,
3162,
494,
6157,
332,
519,
9191,
332,
5411,
9397,
834,
23,
... |
What is the date of appointment when the date of vacancy is 24 november 2010? | CREATE TABLE table_29716 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Table" text,
"Incoming manager" text,
"Date of appointment" text
) | SELECT "Date of appointment" FROM table_29716 WHERE "Date of vacancy" = '24 November 2010' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4327,
2938,
41,
96,
18699,
121,
1499,
6,
96,
15767,
9545,
2743,
121,
1499,
6,
96,
7296,
687,
13,
12028,
121,
1499,
6,
96,
308,
342,
13,
3,
29685,
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,
96,
308,
342,
13,
4141,
121,
21680,
953,
834,
357,
4327,
2938,
549,
17444,
427,
96,
308,
342,
13,
3,
29685,
121,
3274,
3,
31,
2266,
1671,
2735,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
calculate the maximum age of medicaid patients who belong to hispanic or latino ethnic background. | 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,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions... | SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Medicaid" AND demographic.ethnicity = "HISPANIC OR LATINO" | [
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,
4800,
4,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
29441,
3274,
96,
15789,
6146,
121,
3430,
14798,
5,
15,
189,
2532,
485,
3274,
96,
7094,
21215,
18830,
4674,
301,
21580,
7400,
121,
1,
-1... |
What is the last season? | CREATE TABLE table_2140071_5 (
season INTEGER
) | SELECT MAX(season) FROM table_2140071_5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2658,
5548,
4450,
834,
755,
41,
774,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
336,
774,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
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,
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,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
9476,
61,
21680,
953,
834,
2658,
5548,
4450,
834,
755,
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,
-... |
what is the diagnosis short title and long title of subject id 17570? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "17570" | [
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,
18730,
7,
5,
7,
14184,
834,
21869,
6,
18730,
7,
5,
2961,
834,
21869,
21680,
18730,
7,
549,
17444,
427,
18730,
7,
5,
7304,
11827,
834,
23,
26,
3274,
96,
2517,
28363,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
how much is the cost of protein c? | CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
... | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 'protein c') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
23886,
41,
23886,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2672,
4350,
1499,
6,
23886,
4350,
1499,
6,
23886,
715,
97,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15438,
25424,
6227,
583,
5,
11290,
21680,
583,
549,
17444,
427,
583,
5,
15,
2169,
6137,
3274,
3,
31,
9339,
31,
3430,
583,
5,
15,
2169,
23,
26,
3388,
41,
23143,
14196,
7690,
5,
521,
9824,
21680,
7690,
549,
17444... |
Which Venue has a Gross Revenue (2012) of $179,712? | CREATE TABLE table_68533 (
"Venue" text,
"City" text,
"Tickets Sold / Available" text,
"Gross Revenue (1979)" text,
"Gross Revenue (2012)" text
) | SELECT "Venue" FROM table_68533 WHERE "Gross Revenue (2012)" = '$179,712' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
4867,
519,
41,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
254,
485,
121,
1499,
6,
96,
15569,
7,
5175,
26,
3,
87,
8144,
121,
1499,
6,
96,
517,
1859,
7,
19764,
2863,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
553,
35,
76,
15,
121,
21680,
953,
834,
3651,
4867,
519,
549,
17444,
427,
96,
517,
1859,
7,
19764,
24705,
121,
3274,
3,
31,
3229,
26593,
6,
4450,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the zone of the game played against Estonia? | CREATE TABLE table_name_64 (
zone VARCHAR,
against VARCHAR
) | SELECT zone FROM table_name_64 WHERE against = "estonia" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
2901,
584,
4280,
28027,
6,
581,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2901,
13,
8,
467,
1944,
581,
26047,
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,
1,
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,
2901,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
581,
3274,
96,
222,
8008,
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 for the player who won $3,600? | CREATE TABLE table_name_40 (
score VARCHAR,
money___$__ VARCHAR
) | SELECT score FROM table_name_40 WHERE money___$__ = "3,600" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2445,
41,
2604,
584,
4280,
28027,
6,
540,
834,
834,
834,
3229,
834,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
21,
8,
1959,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
2445,
549,
17444,
427,
540,
834,
834,
834,
3229,
834,
834,
3274,
96,
6355,
6007,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Get the list of patients who are younger than 45 years that have had blood lab test done. | 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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "45" AND lab.fluid = "Blood" | [
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,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Show the membership level with most number of members. | CREATE TABLE branch (
branch_id number,
name text,
open_year text,
address_road text,
city text,
membership_amount text
)
CREATE TABLE purchase (
member_id number,
branch_id text,
year text,
total_pounds number
)
CREATE TABLE membership_register_branch (
member_id number,
... | SELECT level FROM member GROUP BY level ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
6421,
41,
6421,
834,
23,
26,
381,
6,
564,
1499,
6,
539,
834,
1201,
1499,
6,
1115,
834,
8635,
1499,
6,
690,
1499,
6,
4757,
834,
9,
11231,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
593,
21680,
1144,
350,
4630,
6880,
272,
476,
593,
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,
-100,
-100,
-100,
-100,
... |
what are the event details of the services that have the type code 'Marriage', and count them by a pie chart | CREATE TABLE Services (
Service_ID INTEGER,
Service_Type_Code CHAR(15)
)
CREATE TABLE Participants_in_Events (
Event_ID INTEGER,
Participant_ID INTEGER
)
CREATE TABLE Events (
Event_ID INTEGER,
Service_ID INTEGER,
Event_Details VARCHAR(255)
)
CREATE TABLE Participants (
Participant_ID... | SELECT Event_Details, COUNT(Event_Details) FROM Events AS T1 JOIN Services AS T2 ON T1.Service_ID = T2.Service_ID WHERE T2.Service_Type_Code = 'Marriage' GROUP BY Event_Details | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1799,
41,
1387,
834,
4309,
3,
21342,
17966,
6,
1387,
834,
25160,
834,
22737,
3,
28027,
599,
1808,
61,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
19204,
834,
77,
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,
8042,
834,
2962,
5756,
7,
6,
2847,
17161,
599,
427,
2169,
834,
2962,
5756,
7,
61,
21680,
11137,
6157,
332,
536,
3,
15355,
3162,
1799,
6157,
332,
357,
9191,
332,
5411,
15260,
834,
4309,
3274,
332,
4416,
15260,
834,
4... |
What is the lowest round for an offensive guard when the overall is smaller than 150? | CREATE TABLE table_4308 (
"Round" real,
"Overall" real,
"Player" text,
"Position" text,
"College" text
) | SELECT MIN("Round") FROM table_4308 WHERE "Overall" < '150' AND "Position" = 'offensive guard' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4906,
4018,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
23847,
1748,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
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,
3,
17684,
599,
121,
448,
32,
1106,
8512,
21680,
953,
834,
4906,
4018,
549,
17444,
427,
96,
23847,
1748,
121,
3,
2,
3,
31,
12278,
31,
3430,
96,
345,
32,
7,
4749,
121,
3274,
3,
31,
858,
23039,
15,
4879,
31,
1,
-... |
Plot the number of name by grouped by name as a bar graph, could you list Y in ascending order? | CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
CREATE TABLE train (
Train_ID ... | SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY COUNT(Name) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
5939,
834,
4309,
16,
17,
6,
5570,
1499,
6,
7389,
834,
295,
651,
834,
994,
155,
490,
6,
7389,
834,
3870,
13073,
7,
490,
6,
9273,
834,
20192,
4606,
277,
490,
6,
10450,
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,
5570,
6,
2847,
17161,
599,
23954,
61,
21680,
2412,
350,
4630,
6880,
272,
476,
5570,
4674,
11300,
272,
476,
2847,
17161,
599,
23954,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the party for the pennsylvania 25 | CREATE TABLE table_1342013_37 (
party VARCHAR,
district VARCHAR
) | SELECT party FROM table_1342013_37 WHERE district = "Pennsylvania 25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
11138,
834,
4118,
41,
1088,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
1088,
21,
8,
4550,
29,
7,
63,
40,
16658,
9,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1088,
21680,
953,
834,
23747,
11138,
834,
4118,
549,
17444,
427,
3939,
3274,
96,
345,
35,
29,
7,
63,
40,
16658,
9,
944,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What Score in the final has a Surface of hard, a Championship of washington, d.c. , u.s., and an Opponent in the final of ivan lendl? | CREATE TABLE table_name_44 (
score_in_the_final VARCHAR,
opponent_in_the_final VARCHAR,
surface VARCHAR,
championship VARCHAR
) | SELECT score_in_the_final FROM table_name_44 WHERE surface = "hard" AND championship = "washington, d.c. , u.s." AND opponent_in_the_final = "ivan lendl" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
2604,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
15264,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
6,
10183,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
834,
77,
834,
532,
834,
12406,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
1774,
3274,
96,
5651,
121,
3430,
10183,
3274,
96,
14710,
6029,
6,
3,
26,
5,
75,
5,
3,
6,
3,
76,
5,
7,
535,
3430,
15264,
8... |
what is the constituency when the rank is less than 5 and the result is con hold? | CREATE TABLE table_name_64 (
constituency VARCHAR,
rank VARCHAR,
result VARCHAR
) | SELECT constituency FROM table_name_64 WHERE rank < 5 AND result = "con hold" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
6439,
4392,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
6439,
4392,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6439,
4392,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
11003,
3,
2,
305,
3430,
741,
3274,
96,
1018,
1520,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which total number of Crowd has a Home team of melbourne? | CREATE TABLE table_name_79 (
crowd VARCHAR,
home_team VARCHAR
) | SELECT COUNT(crowd) FROM table_name_79 WHERE home_team = "melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
4374,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
792,
381,
13,
15343,
26,
65,
3,
9,
1210,
372,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
2847,
17161,
599,
75,
3623,
26,
61,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
234,
834,
11650,
3274,
96,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
When Kerry is at 36.7%, what is the total number of others? | CREATE TABLE table_14396 (
"County" text,
"Kerry%" text,
"Kerry#" real,
"Bush%" text,
"Bush#" real,
"Others%" text,
"Others#" real
) | SELECT COUNT("Others#") FROM table_14396 WHERE "Kerry%" = '36.7%' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25133,
4314,
41,
96,
10628,
63,
121,
1499,
6,
96,
439,
49,
651,
1454,
121,
1499,
6,
96,
439,
49,
651,
4663,
121,
490,
6,
96,
279,
8489,
1454,
121,
1499,
6,
96,
279,
848... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
667,
189,
277,
4663,
8512,
21680,
953,
834,
25133,
4314,
549,
17444,
427,
96,
439,
49,
651,
1454,
121,
3274,
3,
31,
3420,
5,
6170,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the lowest version with a code of u+1034a that began after 2001. | CREATE TABLE table_50667 (
"Character" text,
"Code" text,
"Name" text,
"Version" real,
"Year" real
) | SELECT MIN("Version") FROM table_50667 WHERE "Code" = 'u+1034a' AND "Year" > '2001' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1752,
3539,
940,
41,
96,
18947,
2708,
49,
121,
1499,
6,
96,
22737,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
5000,
1938,
121,
490,
6,
96,
476,
2741,
121,
490,
3,
61,
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,
3,
17684,
599,
121,
5000,
1938,
8512,
21680,
953,
834,
1752,
3539,
940,
549,
17444,
427,
96,
22737,
121,
3274,
3,
31,
76,
1220,
1714,
3710,
9,
31,
3430,
96,
476,
2741,
121,
2490,
3,
31,
23658,
31,
1,
-100,
-100,
... |
How many wins for bikes with under 54 points, team yamaha, a 250cc bike, and before 1977? | CREATE TABLE table_54611 (
"Year" real,
"Class" text,
"Team" text,
"Points" real,
"Wins" real
) | SELECT COUNT("Wins") FROM table_54611 WHERE "Points" < '54' AND "Team" = 'yamaha' AND "Class" = '250cc' AND "Year" < '1977' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4448,
2596,
41,
96,
476,
2741,
121,
490,
6,
96,
21486,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
22512,
7,
121,
490,
6,
96,
18455,
7,
121,
490,
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,
121,
18455,
7,
8512,
21680,
953,
834,
755,
4448,
2596,
549,
17444,
427,
96,
22512,
7,
121,
3,
2,
3,
31,
5062,
31,
3430,
96,
18699,
121,
3274,
3,
31,
22990,
1024,
31,
3430,
96,
21486,
121,
3274,
... |
Tell me the partner for opponents of anamika bhargava sylvia krywacz | CREATE TABLE table_name_15 (
partner VARCHAR,
opponents_in_the_final VARCHAR
) | SELECT partner FROM table_name_15 WHERE opponents_in_the_final = "anamika bhargava sylvia krywacz" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
2397,
584,
4280,
28027,
6,
16383,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
2397,
21,
16383,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2397,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
16383,
834,
77,
834,
532,
834,
12406,
3274,
96,
152,
265,
5561,
3,
115,
3272,
122,
8644,
3,
7,
63,
40,
5907,
3,
157,
651,
210,
9,
75,
172,
121,
1,
-100,
... |
When did jo o souza play? | CREATE TABLE table_35495 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponen" text,
"Score" text
) | SELECT "Date" FROM table_35495 WHERE "Opponen" = 'joão souza' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
591,
3301,
41,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
1572,
106,
35,
121,
1499,
6,
96,
134... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2469,
591,
3301,
549,
17444,
427,
96,
667,
1572,
106,
35,
121,
3274,
3,
31,
1927,
2,
32,
78,
14070,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the sum of the b score when the a score is 6.6 and the total is 15.6? | CREATE TABLE table_name_37 (b_score INTEGER, a_score VARCHAR, total VARCHAR) | SELECT SUM(b_score) FROM table_name_37 WHERE a_score = 6.6 AND total = 15.6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
115,
834,
7,
9022,
3,
21342,
17966,
6,
3,
9,
834,
7,
9022,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
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,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
115,
834,
7,
9022,
61,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
3,
9,
834,
7,
9022,
3274,
3,
28833,
3430,
792,
3274,
209,
25134,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the average decile of Ruapehu college, which has a state authority? | CREATE TABLE table_name_64 (decile INTEGER, authority VARCHAR, name VARCHAR) | SELECT AVG(decile) FROM table_name_64 WHERE authority = "state" AND name = "ruapehu college" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
24223,
109,
3,
21342,
17966,
6,
5015,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
7908,
109,
13,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
24223,
109,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
5015,
3274,
96,
5540,
121,
3430,
564,
3274,
96,
52,
76,
9,
855,
107,
76,
1900,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
which person set at least 2 world records ? | CREATE TABLE table_203_102 (
id number,
"event" text,
"performance" text,
"athlete" text,
"nation" text,
"place" text,
"date" text
) | SELECT "athlete" FROM table_203_102 GROUP BY "athlete" HAVING COUNT(*) >= 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
14388,
41,
3,
23,
26,
381,
6,
96,
15,
2169,
121,
1499,
6,
96,
18558,
121,
1499,
6,
96,
26170,
15,
121,
1499,
6,
96,
29,
257,
121,
1499,
6,
96,
4687,
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,
26170,
15,
121,
21680,
953,
834,
23330,
834,
14388,
350,
4630,
6880,
272,
476,
96,
26170,
15,
121,
454,
6968,
2365,
2847,
17161,
599,
1935,
61,
2490,
2423,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the relationship between Team_ID and ACC_Percent , and group by attribute All_Road? | CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
Scho... | SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY All_Road | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8498,
834,
19515,
41,
2271,
834,
4309,
16,
17,
6,
1121,
834,
4309,
16,
17,
6,
2271,
834,
23954,
1499,
6,
3,
14775,
834,
17748,
4885,
834,
134,
15,
9,
739,
1499,
6,
3,
14775,
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,
2271,
834,
4309,
6,
3,
14775,
834,
12988,
3728,
21680,
8498,
834,
19515,
350,
4630,
6880,
272,
476,
432,
834,
448,
32,
9,
26,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many silver metals are possessed by countries with 2 gold medals? | CREATE TABLE table_name_97 (
silver VARCHAR,
gold VARCHAR
) | SELECT COUNT(silver) FROM table_name_97 WHERE gold = 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4327,
41,
4294,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4294,
1946,
7,
33,
3,
27345,
57,
1440,
28,
204,
2045... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
4327,
549,
17444,
427,
2045,
3274,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the score of Colorado when they were a visitor and had a Smith decision? | CREATE TABLE table_name_32 (
score VARCHAR,
decision VARCHAR,
visitor VARCHAR
) | SELECT score FROM table_name_32 WHERE decision = "smith" AND visitor = "colorado" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
2604,
584,
4280,
28027,
6,
1357,
584,
4280,
28027,
6,
7019,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
13,
6144,
116,
79... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
1357,
3274,
96,
16331,
121,
3430,
7019,
3274,
96,
8135,
19042,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE YEAR'S TALLEST VALUE WITH FLOORS LESS THAN 24, AND 05.0 210 north charles street? | CREATE TABLE table_61420 (
"Name" text,
"Street address" text,
"Years as tallest" text,
"Height ft ( m )" text,
"Floors" real
) | SELECT "Years as tallest" FROM table_61420 WHERE "Floors" < '24' AND "Street address" = '05.0 210 north charles street' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4241,
21899,
41,
96,
23954,
121,
1499,
6,
96,
11500,
15,
15,
17,
1115,
121,
1499,
6,
96,
476,
2741,
7,
38,
5065,
222,
121,
1499,
6,
96,
3845,
2632,
3,
89,
17,
41,
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,
7,
38,
5065,
222,
121,
21680,
953,
834,
4241,
21899,
549,
17444,
427,
96,
11251,
127,
7,
121,
3,
2,
3,
31,
2266,
31,
3430,
96,
11500,
15,
15,
17,
1115,
121,
3274,
3,
31,
632,
20734,
3,
15239,
34... |
What manufacturer made class b-2? | CREATE TABLE table_8809 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text
) | SELECT "Manufacturer" FROM table_8809 WHERE "Class" = 'b-2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4060,
4198,
41,
96,
21486,
121,
1499,
6,
96,
518,
88,
15,
40,
8641,
121,
1499,
6,
96,
371,
109,
15,
17,
381,
599,
7,
61,
121,
1499,
6,
96,
7296,
76,
8717,
450,
49,
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,
7296,
76,
8717,
450,
49,
121,
21680,
953,
834,
4060,
4198,
549,
17444,
427,
96,
21486,
121,
3274,
3,
31,
115,
4949,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the highest laps of the year when the rank was 14? | CREATE TABLE table_name_73 (
laps INTEGER,
rank VARCHAR
) | SELECT MAX(laps) FROM table_name_73 WHERE rank = "14" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
14941,
7,
3,
21342,
17966,
6,
11003,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
14941,
7,
13,
8,
215,
116,
8,
11003,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
8478,
7,
61,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
11003,
3274,
96,
2534,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
A bar chart shows the distribution of meter_500 and ID , and could you order y axis in descending order please? | CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE... | SELECT meter_500, ID FROM swimmer ORDER BY ID DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
27424,
41,
4699,
16,
17,
6,
564,
1499,
6,
868,
485,
1499,
6,
3,
4401,
834,
2915,
490,
6,
3,
4401,
834,
3632,
1499,
6,
3,
4401,
834,
5426,
1499,
6,
3,
4401,
834,
5548,
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,
3,
4401,
834,
2560,
6,
4699,
21680,
27424,
4674,
11300,
272,
476,
4699,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many points has a draw greater than 3 and 3rd place? | CREATE TABLE table_name_24 (
points VARCHAR,
draw VARCHAR,
place VARCHAR
) | SELECT points FROM table_name_24 WHERE draw > 3 AND place = 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
979,
584,
4280,
28027,
6,
3314,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
979,
65,
3,
9,
3314,
2123,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
979,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
3314,
2490,
220,
3430,
286,
3274,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Format of the Frequency CJBX-FM? | CREATE TABLE table_8647 (
"Frequency" text,
"Call sign" text,
"Branding" text,
"Format" text,
"Owner" text
) | SELECT "Format" FROM table_8647 WHERE "Call sign" = 'cjbx-fm' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3840,
4177,
41,
96,
371,
60,
835,
11298,
121,
1499,
6,
96,
254,
1748,
1320,
121,
1499,
6,
96,
18304,
727,
53,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
667,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
3809,
3357,
121,
21680,
953,
834,
3840,
4177,
549,
17444,
427,
96,
254,
1748,
1320,
121,
3274,
3,
31,
75,
354,
115,
226,
18,
89,
51,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
In the episode where segment a is microphones, what is segment d? | CREATE TABLE table_15187735_11 (segment_d VARCHAR, segment_a VARCHAR) | SELECT segment_d FROM table_15187735_11 WHERE segment_a = "Microphones" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26578,
27697,
2469,
834,
2596,
41,
7,
15,
122,
297,
834,
26,
584,
4280,
28027,
6,
5508,
834,
9,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
86,
8,
5640,
213,
5508,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5508,
834,
26,
21680,
953,
834,
26578,
27697,
2469,
834,
2596,
549,
17444,
427,
5508,
834,
9,
3274,
96,
329,
23,
2771,
6399,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
provide the number of patients whose ethnicity is asian and drug type is additive? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "ASIAN" AND prescriptions.drug_type = "ADDITIVE" | [
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,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
Show a bar graph, the data is those times of trains that run through stations for the local authority Chiltern, and the Y axis is the total number of different times. | CREATE TABLE weekly_weather (
station_id int,
day_of_week text,
high_temperature int,
low_temperature int,
precipitation real,
wind_speed_mph int
)
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
CR... | SELECT time, COUNT(time) FROM station AS t1 JOIN route AS t2 ON t1.id = t2.station_id JOIN train AS t3 ON t2.train_id = t3.id WHERE t1.local_authority = "Chiltern" GROUP BY time | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5547,
834,
26809,
41,
2478,
834,
23,
26,
16,
17,
6,
239,
834,
858,
834,
8041,
1499,
6,
306,
834,
21010,
15,
16,
17,
6,
731,
834,
21010,
15,
16,
17,
6,
19742,
257,
490,
6,
2943,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
97,
6,
2847,
17161,
599,
715,
61,
21680,
2478,
6157,
3,
17,
536,
3,
15355,
3162,
2981,
6157,
3,
17,
357,
9191,
3,
17,
5411,
23,
26,
3274,
3,
17,
4416,
6682,
834,
23,
26,
3,
15355,
3162,
2412,
6157,
3,
17,
519,... |
For all employees who have the letters D or S in their first name, give me the trend about commission_pct over hire_date , and I want to rank x axis from low to high order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_... | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1440,
41,
2847,
17161,
11824,
834,
4309,
3,
4331,
4059,
16426,
6,
2847,
17161,
11824,
834,
567,
17683,
3,
4331,
4059,
599,
2445,
201,
4083,
517,
9215,
834,
4309,
7908,
1982,
599,
1714,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
6657,
329,
16994,
9215,
834,
4051,
382,
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... |
which patients have seroma complicating a procedure diagnoses? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Seroma complicting proc" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
What was the date of game 21? | CREATE TABLE table_21464 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Date" FROM table_21464 WHERE "Game" = '21' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27357,
4389,
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,
3,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
27357,
4389,
549,
17444,
427,
96,
23055,
121,
3274,
3,
31,
2658,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the average crowd size when the away team was South Melbourne? | CREATE TABLE table_32691 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT AVG("Crowd") FROM table_32691 WHERE "Away team" = 'south melbourne' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2668,
3951,
536,
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,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
254,
3623,
26,
8512,
21680,
953,
834,
2668,
3951,
536,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
7,
670,
107,
3,
2341,
26255,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the Place of the Player with a Score of 69-72-72=213? | CREATE TABLE table_name_63 (place VARCHAR, score VARCHAR) | SELECT place FROM table_name_63 WHERE score = 69 - 72 - 72 = 213 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
4687,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3399,
13,
8,
12387,
28,
3,
9,
17763,
13,
3,
3951,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
2604,
3274,
3,
3951,
3,
18,
9455,
3,
18,
9455,
3274,
204,
2368,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who won on the week of August 10? | CREATE TABLE table_48555 (
"Tournament" text,
"Surface" text,
"Week" text,
"Winner and score" text,
"Finalist" text,
"Semifinalists" text
) | SELECT "Winner and score" FROM table_48555 WHERE "Week" = 'august 10' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3707,
28803,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
518,
10266,
121,
1499,
6,
96,
18455,
687,
11,
2604,
121,
1499,
6,
96,
371,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11,
2604,
121,
21680,
953,
834,
3707,
28803,
549,
17444,
427,
96,
518,
10266,
121,
3274,
3,
31,
402,
17198,
335,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the rating of the episode with 13.47 million viewers and overall rank larger than 6? | CREATE TABLE table_57929 (
"Episode" text,
"Air Date" text,
"Rating" real,
"Share" real,
"Rating/Share 18\u201349" text,
"Viewers (m)" real,
"Timeslot Rank" real,
"Night Rank" text,
"Overall Rank" real
) | SELECT SUM("Rating") FROM table_57929 WHERE "Viewers (m)" = '13.47' AND "Overall Rank" > '6' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4440,
3166,
41,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
20162,
7678,
121,
1499,
6,
96,
448,
1014,
121,
490,
6,
96,
24501,
121,
490,
6,
96,
448,
1014,
87,
245... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
448,
1014,
8512,
21680,
953,
834,
755,
4440,
3166,
549,
17444,
427,
96,
15270,
277,
41,
51,
61,
121,
3274,
3,
31,
2368,
5,
4177,
31,
3430,
96,
23847,
1748,
3,
22557,
121,
2490,
3,
31,
948,
3... |
Name the Report with Winning constructor of maserati, and a Name of monza grand prix? | CREATE TABLE table_name_28 (
report VARCHAR,
winning_constructor VARCHAR,
name VARCHAR
) | SELECT report FROM table_name_28 WHERE winning_constructor = "maserati" AND name = "monza grand prix" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
934,
584,
4280,
28027,
6,
3447,
834,
15982,
5317,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3750,
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,
0... | [
3,
23143,
14196,
934,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
3447,
834,
15982,
5317,
3274,
96,
2754,
15,
6850,
121,
3430,
564,
3274,
96,
2157,
1629,
1907,
3407,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was the edition after 2003 when the Third was Tikveš and Sileks was the runner-up? | CREATE TABLE table_name_64 (edition INTEGER, runner_up VARCHAR, year VARCHAR, third VARCHAR) | SELECT MIN(edition) FROM table_name_64 WHERE year > 2003 AND third = "tikveš" AND runner_up = "sileks" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
15,
10569,
3,
21342,
17966,
6,
3,
10806,
834,
413,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
1025,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
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,
3,
17684,
599,
15,
10569,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
215,
2490,
3888,
3430,
1025,
3274,
96,
4414,
162,
2,
121,
3430,
3,
10806,
834,
413,
3274,
96,
7,
173,
16789,
121,
1,
-100,
-100,
-10... |
Name the number of leaders for % of popular vote being 11.05% | CREATE TABLE table_19283982_4 (leader VARCHAR, _percentage_of_popular_vote VARCHAR) | SELECT COUNT(leader) FROM table_19283982_4 WHERE _percentage_of_popular_vote = "11.05%" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
2577,
3288,
4613,
834,
591,
41,
22900,
584,
4280,
28027,
6,
3,
834,
883,
3728,
545,
834,
858,
834,
27302,
834,
1621,
17,
15,
584,
4280,
28027,
61,
3,
32102,
32103,
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,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
22900,
61,
21680,
953,
834,
2294,
2577,
3288,
4613,
834,
591,
549,
17444,
427,
3,
834,
883,
3728,
545,
834,
858,
834,
27302,
834,
1621,
17,
15,
3274,
96,
10032,
632,
2712,
121,
1,
-100,
-100,
-100,... |
find the name of all departments that do actually have one or more employees assigned to them. | CREATE TABLE departments (
department_name VARCHAR,
department_id VARCHAR
)
CREATE TABLE employees (
department_id VARCHAR
) | SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10521,
41,
3066,
834,
4350,
584,
4280,
28027,
6,
3066,
834,
23,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1652,
41,
3066,
834,
23,
26,
584,
42... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15438,
25424,
6227,
332,
4416,
221,
2274,
297,
834,
4350,
21680,
1652,
6157,
332,
536,
3,
15355,
3162,
10521,
6157,
332,
357,
9191,
332,
5411,
221,
2274,
297,
834,
23,
26,
3274,
332,
4416,
221,
2274,
297,
834,
23... |
What was the date for no. 7? | CREATE TABLE table_247955_2 (
date VARCHAR,
no VARCHAR
) | SELECT date FROM table_247955_2 WHERE no = 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
4440,
3769,
834,
357,
41,
833,
584,
4280,
28027,
6,
150,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
833,
21,
150,
5,
489,
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,
1,
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,
833,
21680,
953,
834,
2266,
4440,
3769,
834,
357,
549,
17444,
427,
150,
3274,
489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the venue was punt road oval, what was the Home teams score? | CREATE TABLE table_10948 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team score" FROM table_10948 WHERE "Venue" = 'punt road oval' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17304,
3707,
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,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19040,
372,
2604,
121,
21680,
953,
834,
17304,
3707,
549,
17444,
427,
96,
553,
35,
76,
15,
121,
3274,
3,
31,
6225,
17,
1373,
17986,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many riders do not have points ? | CREATE TABLE table_204_114 (
id number,
"pos" text,
"rider" text,
"manufacturer" text,
"time/retired" text,
"grid" number,
"points" number
) | SELECT COUNT("rider") FROM table_204_114 WHERE "points" IS NULL | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
18959,
41,
3,
23,
26,
381,
6,
96,
2748,
121,
1499,
6,
96,
4055,
49,
121,
1499,
6,
96,
348,
76,
8717,
450,
49,
121,
1499,
6,
96,
715,
87,
10682,
1271,
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,
2847,
17161,
599,
121,
4055,
49,
8512,
21680,
953,
834,
26363,
834,
18959,
549,
17444,
427,
96,
2700,
7,
121,
6827,
13046,
10376,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE DATE WITH AN AWAY TEAM OF BURTON ALBION? | CREATE TABLE table_name_15 (
date VARCHAR,
away_team VARCHAR
) | SELECT date FROM table_name_15 WHERE away_team = "burton albion" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
833,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
21665,
6827,
1853,
309,
6048,
11951,
3,
5033,
71,
1715... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
550,
834,
11650,
3274,
96,
3007,
17330,
7046,
23,
106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who was game number 8 played against? | CREATE TABLE table_19778010_5 (opponent VARCHAR, game VARCHAR) | SELECT opponent FROM table_19778010_5 WHERE game = 8 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
4013,
2079,
1714,
834,
755,
41,
32,
102,
9977,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
467,
381,
505,
1944,
581,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
2294,
4013,
2079,
1714,
834,
755,
549,
17444,
427,
467,
3274,
505,
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 Motor that has a Focuses bigger than 62, and a Participant of rebaque? | CREATE TABLE table_name_73 (
engine VARCHAR,
points VARCHAR,
entrant VARCHAR
) | SELECT engine FROM table_name_73 WHERE points > 62 AND entrant = "rebaque" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
1948,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
6,
3,
295,
3569,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
5083,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1948,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
979,
2490,
3,
4056,
3430,
3,
295,
3569,
3274,
96,
60,
115,
9,
835,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Where did the Bruins play Iowa State? | CREATE TABLE table_name_58 (
location VARCHAR,
opponent VARCHAR
) | SELECT location FROM table_name_58 WHERE opponent = "iowa state" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
1128,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2840,
410,
8,
272,
23162,
577,
12034,
1015,
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,
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,
1128,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
15264,
3274,
96,
23,
2381,
9,
538,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Frequency MHz smaller than 95.3, and a Call sign of k234ag is what class? | CREATE TABLE table_name_69 (
class VARCHAR,
frequency_mhz VARCHAR,
call_sign VARCHAR
) | SELECT class FROM table_name_69 WHERE frequency_mhz < 95.3 AND call_sign = "k234ag" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
853,
584,
4280,
28027,
6,
7321,
834,
51,
107,
172,
584,
4280,
28027,
6,
580,
834,
6732,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5532,
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,
1,
1,
1... | [
3,
23143,
14196,
853,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
7321,
834,
51,
107,
172,
3,
2,
668,
26627,
3430,
580,
834,
6732,
3274,
96,
157,
357,
3710,
9,
122,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the TV time for Chicago's road game against Phoenix on June 18? | CREATE TABLE table_name_66 (
tv_time VARCHAR,
road_team VARCHAR,
date VARCHAR
) | SELECT tv_time FROM table_name_66 WHERE road_team = "phoenix" AND date = "june 18" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
3,
17,
208,
834,
715,
584,
4280,
28027,
6,
1373,
834,
11650,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
3,
17,
208,
834,
715,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
1373,
834,
11650,
3274,
96,
9553,
35,
2407,
121,
3430,
833,
3274,
96,
6959,
15,
507,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was Holly Scouler's total votes | CREATE TABLE table_name_62 (
total_votes VARCHAR,
members VARCHAR
) | SELECT total_votes FROM table_name_62 WHERE members = "holly scouler" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
792,
834,
1621,
1422,
584,
4280,
28027,
6,
724,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
24205,
10711,
83,
49,
31,
7,
792,
1183... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
792,
834,
1621,
1422,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
724,
3274,
96,
2831,
120,
3,
3523,
83,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
baseline hgb < 11.7 g / dl in female , or < 13 g / dl in male ; lymphopenia ( < 1000 lymphocytes / mcl ) or leukopenia ( < 3000 total leukocytes / mcl ) , or an absolute cd4 count < 500 , or platelets < 150000 | CREATE TABLE table_dev_30 (
"id" int,
"gender" string,
"leukopenia" int,
"cd4_count" int,
"stroke" bool,
"platelets" int,
"hematocrit_hct" float,
"fasting_triglycerides" int,
"coronary_stenosis" int,
"hyperlipidemia" bool,
"lymphopenia" int,
"fasting_ldl_cholesterol" int,... | SELECT * FROM table_dev_30 WHERE (baseline_hemoglobin_hgb < 11.7 AND gender = 'female') OR (baseline_hemoglobin_hgb < 13 AND gender = 'male') OR lymphopenia < 1000 OR leukopenia < 3000 OR cd4_count < 500 OR platelets < 150000 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9776,
834,
1458,
41,
96,
23,
26,
121,
16,
17,
6,
96,
122,
3868,
121,
6108,
6,
96,
109,
1598,
8751,
23,
9,
121,
16,
17,
6,
96,
75,
26,
591,
834,
13362,
121,
16,
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,
1429,
21680,
953,
834,
9776,
834,
1458,
549,
17444,
427,
41,
10925,
747,
834,
6015,
32,
14063,
77,
834,
107,
122,
115,
3,
2,
209,
18596,
3430,
7285,
3274,
3,
31,
89,
15,
13513,
31,
61,
4674,
41,
10925,
747,
834,
... |
How many total players came from the school/club team of De La Salle? | CREATE TABLE table_name_62 (number VARCHAR, school_club_team VARCHAR) | SELECT COUNT(number) FROM table_name_62 WHERE school_club_team = "de la salle" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
5525,
1152,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
792,
1508,
764,
45,
8,
496,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
221,
50,
4762,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Lane has a Country of united states, and a Time smaller than 22.01, and a Reaction Time smaller than 0.193? | CREATE TABLE table_13694 (
"Lane" real,
"Name" text,
"Country" text,
"Reaction Time" real,
"Time" real
) | SELECT MIN("Lane") FROM table_13694 WHERE "Country" = 'united states' AND "Time" < '22.01' AND "Reaction Time" < '0.193' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23459,
4240,
41,
96,
434,
152,
15,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
1649,
4787,
2900,
121,
490,
6,
96,
13368,
121,
490,
3,
61,
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,
3,
17684,
599,
121,
434,
152,
15,
8512,
21680,
953,
834,
23459,
4240,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
15129,
15,
26,
2315,
31,
3430,
96,
13368,
121,
3,
2,
3,
31,
2884,
5,
4542,
31,
3430,
96,
... |
How many times were the 2010 candidates Judson hill (r) unopposed? | CREATE TABLE table_28668 (
"District" real,
"Incumbent" text,
"Party" text,
"Elected" text,
"Status" text,
"2010 Candidates" text
) | SELECT COUNT("Elected") FROM table_28668 WHERE "2010 Candidates" = 'Judson Hill (R) unopposed' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3840,
3651,
41,
96,
308,
23,
20066,
121,
490,
6,
96,
1570,
75,
5937,
295,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
21543,
15,
26,
121,
1499,
6,
96,
134,
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,
2847,
17161,
599,
121,
21543,
15,
26,
8512,
21680,
953,
834,
357,
3840,
3651,
549,
17444,
427,
96,
14926,
20763,
121,
3274,
3,
31,
683,
76,
26,
739,
3588,
41,
448,
61,
73,
28236,
3843,
31,
1,
-100,
-100,
-100,
-10... |
give me the number of patients whose ethnicity is american indian/alaska native and diagnoses icd9 code is 70704? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "70704" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
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,
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... |
Which Post Town has a Dialcode of 020 and is located in Hook? | CREATE TABLE table_53503 (
"Location" text,
"Londonborough" text,
"Post town" text,
"Postcodedistrict" text,
"Dialcode" text
) | SELECT "Post town" FROM table_53503 WHERE "Dialcode" = '020' AND "Location" = 'hook' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4867,
1752,
519,
41,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
29712,
12823,
121,
1499,
6,
96,
22507,
1511,
121,
1499,
6,
96,
22507,
4978,
26,
23,
20066,
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,
96,
22507,
1511,
121,
21680,
953,
834,
4867,
1752,
519,
549,
17444,
427,
96,
23770,
40,
4978,
121,
3274,
3,
31,
632,
1755,
31,
3430,
96,
434,
32,
75,
257,
121,
3274,
3,
31,
20978,
31,
1,
-100,
-100,
-100,
-100,
... |
What is the fewest amendments sponsored associated with 150 bills originally cosponsored and over 247 bills cosponsored? | CREATE TABLE table_name_52 (all_amendments_sponsored INTEGER, bills_originally_cosponsored VARCHAR, all_bills_cosponsored VARCHAR) | SELECT MIN(all_amendments_sponsored) FROM table_name_52 WHERE bills_originally_cosponsored = 150 AND all_bills_cosponsored > 247 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
1748,
834,
265,
989,
4128,
834,
27959,
3,
21342,
17966,
6,
7200,
834,
21878,
120,
834,
509,
27959,
584,
4280,
28027,
6,
66,
834,
3727,
40,
7,
834,
509,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
17684,
599,
1748,
834,
265,
989,
4128,
834,
27959,
61,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
7200,
834,
21878,
120,
834,
509,
27959,
3274,
4261,
3430,
66,
834,
3727,
40,
7,
834,
509,
27959,
2490,
204... |
Show each author and the number of workshops they submitted to. Show bar chart. | CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
)
CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
)
CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
) | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8121,
41,
29779,
834,
4309,
16,
17,
6,
17763,
7,
490,
6,
10236,
1499,
6,
1888,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
4786,
41,
9644,
834,
4309,
16,
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,
10236,
6,
2847,
17161,
599,
15438,
25424,
6227,
332,
5411,
12492,
6921,
834,
4309,
61,
21680,
20592,
663,
6157,
332,
536,
3,
15355,
3162,
8121,
6157,
332,
357,
9191,
332,
5411,
25252,
5451,
834,
4309,
3274,
332,
4416,
... |
how many patients on government insurance had atrial cardioversion? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Atrial cardioversion" | [
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,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Who had an evening gown score of 9.78? | CREATE TABLE table_11690135_1 (interview VARCHAR, evening_gown VARCHAR) | SELECT interview FROM table_11690135_1 WHERE evening_gown = "9.78" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20159,
2394,
536,
2469,
834,
536,
41,
3870,
4576,
584,
4280,
28027,
6,
2272,
834,
122,
9197,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
141,
46,
2272,
19879,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2772,
21680,
953,
834,
20159,
2394,
536,
2469,
834,
536,
549,
17444,
427,
2272,
834,
122,
9197,
3274,
96,
8797,
3940,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
severe burns ( total surface area burned > 30 % ) . | CREATE TABLE table_train_70 (
"id" int,
"pregnancy_or_lactation" bool,
"white_blood_cell_count_wbc" int,
"systolic_blood_pressure_sbp" int,
"mean_arterial_pressure_map" int,
"temperature" float,
"oliguria" bool,
"surgery" bool,
"heart_rate" int,
"systemic_inflammatory_response" b... | SELECT * FROM table_train_70 WHERE burn_injury > 30 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
2518,
41,
96,
23,
26,
121,
16,
17,
6,
96,
2026,
11260,
11298,
834,
127,
834,
9700,
6821,
121,
3,
12840,
40,
6,
96,
13698,
834,
27798,
834,
8725,
834,
13362,
83... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1429,
21680,
953,
834,
9719,
834,
2518,
549,
17444,
427,
5958,
834,
77,
10609,
63,
2490,
604,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Host of the Show with a Market of New York? | CREATE TABLE table_name_78 (host_s_ VARCHAR, market VARCHAR) | SELECT host_s_ FROM table_name_78 WHERE market = "new york" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
12675,
834,
7,
834,
584,
4280,
28027,
6,
512,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1546,
7,
17,
13,
8,
3111,
28,
3,
9,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
2290,
834,
7,
834,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
512,
3274,
96,
5534,
25453,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the Old Galician for cantaste in Portuguese? | CREATE TABLE table_26614365_1 (
old_galician__13th_15th_c_ VARCHAR,
portuguese VARCHAR
) | SELECT old_galician__13th_15th_c_ FROM table_26614365_1 WHERE portuguese = "cantaste" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3539,
2534,
10402,
834,
536,
41,
625,
834,
6191,
1294,
152,
834,
834,
2368,
189,
834,
1808,
189,
834,
75,
834,
584,
4280,
28027,
6,
2147,
76,
15991,
15,
584,
4280,
280... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
625,
834,
6191,
1294,
152,
834,
834,
2368,
189,
834,
1808,
189,
834,
75,
834,
21680,
953,
834,
357,
3539,
2534,
10402,
834,
536,
549,
17444,
427,
2147,
76,
15991,
15,
3274,
96,
1608,
17,
8323,
121,
1,
-100,
-100,
... |
Which women's doubles has Howard Bach Tony Gunawan as Men's doubles and Taufik Hidayat as Men's Singles? | CREATE TABLE table_55651 (
"Year" real,
"Men's singles" text,
"Women's singles" text,
"Men's doubles" text,
"Women's doubles" text,
"Mixed doubles" text
) | SELECT "Women's doubles" FROM table_55651 WHERE "Men's doubles" = 'howard bach tony gunawan' AND "Men's singles" = 'taufik hidayat' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
4122,
536,
41,
96,
476,
2741,
121,
490,
6,
96,
329,
35,
31,
7,
712,
7,
121,
1499,
6,
96,
518,
32,
904,
31,
7,
712,
7,
121,
1499,
6,
96,
329,
35,
31,
7,
1486,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
32,
904,
31,
7,
1486,
7,
121,
21680,
953,
834,
3769,
4122,
536,
549,
17444,
427,
96,
329,
35,
31,
7,
1486,
7,
121,
3274,
3,
31,
4067,
986,
3,
6425,
12,
29,
63,
4740,
9,
3877,
31,
3430,
96,
329,
35,
... |
What tonnage was built in 2007? | CREATE TABLE table_12261 (
"Built" real,
"Ship" text,
"Operator" text,
"Tonnage" text,
"Flag" text
) | SELECT "Tonnage" FROM table_12261 WHERE "Built" = '2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20889,
4241,
41,
96,
7793,
173,
17,
121,
490,
6,
96,
134,
10462,
121,
1499,
6,
96,
667,
883,
1016,
121,
1499,
6,
96,
382,
106,
9761,
121,
1499,
6,
96,
371,
5430,
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,
0,
0... | [
3,
23143,
14196,
96,
382,
106,
9761,
121,
21680,
953,
834,
20889,
4241,
549,
17444,
427,
96,
7793,
173,
17,
121,
3274,
3,
31,
20615,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the number of wines with price higher than 100, sorted by year, group by grape and show by bar chart. | CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
CREATE TABLE appellations (
No... | SELECT Year, COUNT(Year) FROM wine WHERE Price > 100 GROUP BY Grape ORDER BY Year | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2013,
41,
465,
3,
21342,
17966,
6,
29083,
3,
3463,
4,
382,
6,
9426,
651,
3,
3463,
4,
382,
6,
3,
27794,
257,
3,
3463,
4,
382,
6,
1015,
3,
3463,
4,
382,
6,
5570,
3,
3463,
4,
38... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
476,
2741,
61,
21680,
2013,
549,
17444,
427,
5312,
2490,
910,
350,
4630,
6880,
272,
476,
29083,
4674,
11300,
272,
476,
2929,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the total number of rank where viewers is 9.38? | CREATE TABLE table_20261 (
"#" real,
"Episode" text,
"Rating" text,
"Share" real,
"Rating/Share (18-49)" text,
"Viewers (millions)" text,
"Rank (Timeslot)" text,
"Rank (Night)" text,
"Rank (Week)" text
) | SELECT COUNT("Rank (Timeslot)") FROM table_20261 WHERE "Viewers (millions)" = '9.38' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19818,
4241,
41,
96,
4663,
121,
490,
6,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
448,
1014,
121,
1499,
6,
96,
24501,
121,
490,
6,
96,
448,
1014,
87,
24501,
9323,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
41,
13368,
7,
3171,
61,
8512,
21680,
953,
834,
19818,
4241,
549,
17444,
427,
96,
15270,
277,
41,
17030,
7,
61,
121,
3274,
3,
31,
8797,
3747,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Traditional when the Pinyin is h d ng q ? | CREATE TABLE table_47014 (
"English Name" text,
"Simplified" text,
"Traditional" text,
"Pinyin" text,
"Area" text,
"Population" real,
"Density" text
) | SELECT "Traditional" FROM table_47014 WHERE "Pinyin" = 'hédōng qū' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27760,
2534,
41,
96,
26749,
5570,
121,
1499,
6,
96,
134,
10296,
3676,
121,
1499,
6,
96,
9402,
10569,
138,
121,
1499,
6,
96,
345,
77,
63,
77,
121,
1499,
6,
96,
188,
864,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9402,
10569,
138,
121,
21680,
953,
834,
27760,
2534,
549,
17444,
427,
96,
345,
77,
63,
77,
121,
3274,
3,
31,
107,
154,
26,
2,
1725,
3,
1824,
2,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many subsidiaries of company F M Media Limited? | CREATE TABLE table_1756264_2 (subsidiaries VARCHAR, company_name VARCHAR) | SELECT subsidiaries FROM table_1756264_2 WHERE company_name = "F M MEDIA LIMITED" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
4834,
26755,
834,
357,
41,
7304,
7,
24594,
2593,
584,
4280,
28027,
6,
349,
834,
4350,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
28382,
13,
349,
377... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
28382,
21680,
953,
834,
2517,
4834,
26755,
834,
357,
549,
17444,
427,
349,
834,
4350,
3274,
96,
371,
283,
3,
30296,
31351,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the total number of Matches, when Clubs is 588 406? | CREATE TABLE table_40198 (
"Round" text,
"Date" text,
"Matches" real,
"Clubs" text,
"Prize money" text
) | SELECT COUNT("Matches") FROM table_40198 WHERE "Clubs" = '588 → 406' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2445,
24151,
41,
96,
448,
32,
1106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
329,
144,
2951,
121,
490,
6,
96,
254,
11158,
7,
121,
1499,
6,
96,
7855,
776,
540,
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,
2847,
17161,
599,
121,
329,
144,
2951,
8512,
21680,
953,
834,
2445,
24151,
549,
17444,
427,
96,
254,
11158,
7,
121,
3274,
3,
31,
755,
4060,
3,
2,
1283,
948,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
how many patients of black /african american ethnicity had elective type of admission ? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.ethnicity = "BLACK/AFRICAN AMERICAN" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
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,
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,
15,
189,
2532,
485,
32... |
What year was Zona Sur nominated? | CREATE TABLE table_name_69 (year__ceremony_ VARCHAR, original_title VARCHAR) | SELECT year__ceremony_ FROM table_name_69 WHERE original_title = "zona sur" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
1201,
834,
834,
2110,
15,
21208,
834,
584,
4280,
28027,
6,
926,
834,
21869,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
215,
47,
1027,
106,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
215,
834,
834,
2110,
15,
21208,
834,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
926,
834,
21869,
3274,
96,
8892,
9,
244,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average longitude of stations that never had bike availability more than 10? | CREATE TABLE station (
long INTEGER,
id VARCHAR,
station_id VARCHAR,
bikes_available INTEGER
)
CREATE TABLE status (
long INTEGER,
id VARCHAR,
station_id VARCHAR,
bikes_available INTEGER
) | SELECT AVG(long) FROM station WHERE NOT id IN (SELECT station_id FROM status GROUP BY station_id HAVING MAX(bikes_available) > 10) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
307,
3,
21342,
17966,
6,
3,
23,
26,
584,
4280,
28027,
6,
2478,
834,
23,
26,
584,
4280,
28027,
6,
13490,
834,
28843,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32102,
205,
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,
71,
17217,
599,
2961,
61,
21680,
2478,
549,
17444,
427,
4486,
3,
23,
26,
3388,
41,
23143,
14196,
2478,
834,
23,
26,
21680,
2637,
350,
4630,
6880,
272,
476,
2478,
834,
23,
26,
454,
6968,
2365,
4800,
4,
599,
15214,
... |
give me the number of patients whose ethnicity is american indian/alaska native and drug name is d12.5w? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND prescriptions.drug = "D12.5W" | [
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,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
How many holes did Mike Reid from United States have? | CREATE TABLE table_name_75 (
hole VARCHAR,
country VARCHAR,
player VARCHAR
) | SELECT hole FROM table_name_75 WHERE country = "united states" AND player = "mike reid" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
6356,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
8034,
410,
4794,
25219,
45,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6356,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
684,
3274,
96,
15129,
15,
26,
2315,
121,
3430,
1959,
3274,
96,
20068,
15,
3,
60,
23,
26,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the first episode with a netflix episode code of s02e20? | CREATE TABLE table_15187735_4 (
episode INTEGER,
netflix VARCHAR
) | SELECT MIN(episode) FROM table_15187735_4 WHERE netflix = "S02E20" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26578,
27697,
2469,
834,
591,
41,
5640,
3,
21342,
17966,
6,
3134,
89,
17591,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
166,
5640,
28,
3,
9,
3134,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
15,
102,
159,
32,
221,
61,
21680,
953,
834,
26578,
27697,
2469,
834,
591,
549,
17444,
427,
3134,
89,
17591,
3274,
96,
134,
4305,
427,
1755,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the Hometown of the person with a height of 5'8'? | CREATE TABLE table_40178 (
"Name" text,
"Pos." text,
"Height" text,
"Weight" real,
"Year" text,
"Hometown (Previous school)" text
) | SELECT "Hometown (Previous school)" FROM table_40178 WHERE "Height" = '5''8' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20016,
3940,
41,
96,
23954,
121,
1499,
6,
96,
345,
32,
7,
535,
1499,
6,
96,
3845,
2632,
121,
1499,
6,
96,
1326,
2632,
121,
490,
6,
96,
476,
2741,
121,
1499,
6,
96,
1904... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19040,
3540,
41,
10572,
19117,
496,
61,
121,
21680,
953,
834,
20016,
3940,
549,
17444,
427,
96,
3845,
2632,
121,
3274,
3,
31,
755,
31,
31,
927,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the weight of the jockey at Sandown Park? | CREATE TABLE table_24850630_4 (weight VARCHAR, venue VARCHAR) | SELECT weight FROM table_24850630_4 WHERE venue = "Sandown Park" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
17246,
26106,
834,
591,
41,
9378,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1293,
13,
8,
8624,
4397,
44,
1051,
3035,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1293,
21680,
953,
834,
2266,
17246,
26106,
834,
591,
549,
17444,
427,
5669,
3274,
96,
134,
152,
3035,
1061,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.