input_ids list | attention_mask list | labels list | prompt stringlengths 528 1.77k | completion stringlengths 40 173 |
|---|---|---|---|---|
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
22799,
601,
262,
363,
29871,
29896,
29929,
29955,
29945,
29994,
29896,
29929,
29955,
29953,
29973,
29952,
13,
13,
2277,
29937,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the inductioin for 1975–1976?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11960610_10 (
Date text,
"High assists" text,
"Location Attendance" text,
Team text,
Record text,
Score ... | SELECT Induction FROM table_2_1118731_1 WHERE "Years" ILIKE '%1975–1976%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
29915,
29879,
278,
30081,
2914,
30081,
2541,
30081,
4102,
11467,
30081,
915,
292,
29871,
29896,
29929,
29906,
29906,
29952,
13,
13,
2277,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`what's the result with first elected being 1922`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11129123_1 (
"Audition City" text,
"Episode Air Date" text,
"Callback Venue" text,
"Callback Dat... | SELECT RESULT FROM table_1_1342359_15 WHERE "First elected" = '1922' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
1134,
338,
26351,
573,
1353,
26637,
29940,
29871,
29946,
29953,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What type is locomotive number CTN 46?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_15441362_1 (
Manufacturer text,
Propulsion text,
"Locomotive number" text,
Model text,
Type text
);
CREA... | SELECT TYPE FROM table_2_15441362_1 WHERE "Locomotive number" ILIKE '%ctn%46%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
1170,
278,
6410,
411,
2407,
310,
29871,
29946,
29945,
29899,
29945,
29929,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the loss with record of 45-59`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11642945_1 (
"Total No." numeric,
Celebrity text,
"Original air date" text,
Director text,
Viewers text
);
C... | SELECT Loss FROM table_2_12206056_6 WHERE "Record" ILIKE '%45-59%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
6028,
366,
2649,
592,
278,
2522,
487,
393,
756,
278,
4712,
310,
17187,
29871,
29947,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Can you tell me the Score that has the Date of april 8?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12283621_6 (
"Serbian League Vojvodina" text,
Season text,
"Serbian League East" text,
"... | SELECT Score FROM table_2_15872814_8 WHERE "Date" ILIKE '%april%8%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
1170,
278,
1353,
988,
4665,
29871,
29906,
29900,
29896,
29900,
338,
29871,
29896,
29955,
29896,
29929,
29900,
29953,
29952,
13,
13,
2277,
29937,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the number where population 2010 is 171906`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10236830_1 (
Nomination text,
Director text,
"Film Name" text,
Country text,
"Actors Name" text... | SELECT No. FROM table_1_17015_2 WHERE "Population (2010)" = '171906' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
3564,
756,
3760,
29891,
830,
333,
408,
3495,
322,
23012,
29899,
1609,
29899,
6984,
7300,
29883,
1901,
29973,
29952,
13,
13,
2277,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which network has Marty Reid as host and lap-by-lap broadcaster?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10716893_3 (
"Pit reporters" text,
"Color commentator(s)" text,
"Pre-race analys... | SELECT Network FROM table_1_10716893_3 WHERE "Lap-by-lap" ILIKE '%Marty%Reid%' AND "Host" ILIKE '%Marty%Reid%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
11230,
9272,
340,
4621,
29915,
29879,
6588,
1121,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Anna Rogowska's average result?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11960944_7 (
Date text,
Record text,
Game numeric,
Team text,
Score text,
"High points" text,
"High r... | SELECT AVG(RESULT) FROM table_2_18569185_4 WHERE "Name" ILIKE '%anna%rogowska%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
19087,
5253,
310,
399,
29903,
4590,
4105,
346,
10376,
5019,
750,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the smallest amount of WSOP bracelets anyone had?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_23696862_6 (
"WSOP cashes" numeric,
"WSOP earnings" text,
Prize text,
Name text,
"Sta... | SELECT MIN("WSOP bracelets") FROM table_1_23696862_6 |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
10435,
750,
263,
6257,
8666,
310,
29871,
29896,
29946,
29914,
29896,
322,
7688,
287,
29871,
29896,
29900,
29899,
29955,
29973,
29952,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What horse had a starting price of 14/1 and weighted 10-7?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_20095300_1 (
Number numeric,
Jockey text,
Colours text,
Trainer text,
"Weight (st, l... | SELECT Name FROM table_1_20095300_1 WHERE "Starting price" ILIKE '%14/1%' AND "Weight (st, lb)" ILIKE '%10-7%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
19405,
1353,
988,
278,
7472,
24235,
338,
29871,
29946,
29900,
29900,
5654,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the license number where the maximum diameter is 400 mm?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12275551_1 (
"Mixed doubles" text,
"Womens singles" text,
"Mens singles" text,
... | SELECT "Licence number" FROM table_2_17918238_1 WHERE "Maximum diameter" ILIKE '%400%mm%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
2440,
1258,
360,
29893,
1662,
3879,
29878,
2285,
750,
263,
282,
312,
3109,
1135,
29871,
29900,
29889,
29941,
29947,
29929,
322,
28495,
310... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What years did Dwane Morrison had a pct less than 0.389 and losses less than 12?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11662133_3 (
"Date entered service" text,
Tonnage numeric,
"Type... | SELECT Years FROM table_2_14013485_3 WHERE "Pct." < '0.389' AND "Lost" < '12' AND "Name" ILIKE '%dwane%morrison%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
2831,
607,
3564,
471,
12821,
5260,
1609,
278,
2927,
3440,
1061,
1156,
29871,
29896,
29929,
29929,
29900,
29973,
29952,
13,
13,
2277,
29937,
5470... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`For which network was Chris Walby the color commentator after 1990?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17628022_3 (
Network text,
"Play-by-play" text,
"Colour commentator(s)" text,... | SELECT Network FROM table_2_17628022_3 WHERE "Year" > '1990' AND "Colour commentator(s)" ILIKE '%chris%walby%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
22110,
471,
278,
23995,
296,
363,
3748,
29871,
29941,
29900,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who was the opponent for game 30?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18904831_7 (
Game numeric,
Opponent text,
Location text,
Record text,
Date text,
"High assists" text,
Score... | SELECT Opponent FROM table_2_18904831_7 WHERE "Game" = '30' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
7740,
29887,
29914,
29954,
393,
756,
263,
4408,
310,
23995,
1237,
29892,
322,
385,
382,
2416,
7968,
1135,
29871,
29896,
29906,
29929,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which Avg/G that has a Name of opponents, and an Effic smaller than 129.73?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11214772_1 (
Year text,
"Runner-Up" text,
"Semi-Finalist #1" text,
L... | SELECT SUM(AVG/G) FROM table_2_14982694_7 WHERE "Name" ILIKE '%opponents%' AND "Effic" < '129.73' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
278,
501,
29889,
29903,
29889,
6940,
403,
746,
278,
1629,
338,
1156,
29871,
29906,
29900,
29900,
29906,
322,
278,
6263,
338,
1985,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`what is the U.S. senate when the year is after 2002 and the party is working families?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10953197_7 (
"Production code" text,
Director text,
"No. i... | SELECT "U.S. Senate" FROM table_2_16297373_1 WHERE "Year" > '2002' AND "Party" ILIKE '%working%families%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
25039,
1299,
8519,
6093,
17067,
5194,
22659,
13764,
8079,
349,
3267,
22122,
5300,
349,
2965,
29968,
8079,
29871,
29906,
29946,
29973,
29952,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`WHAT IS THE TEAM WITH AN OF POSITION AND PICK OF 24?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17836233_1 (
"Hometown/School" text,
Player text,
Team text,
Pick numeric,
Position text
)... | SELECT Team FROM table_2_17836233_1 WHERE "Position" ILIKE '%of%' AND "Pick" = '24' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
15456,
29892,
746,
2522,
487,
338,
29871,
29955,
29900,
29899,
29955,
29941,
29922,
29896,
29946,
29941,
29973,
29952,
13,
13,
2277,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Country, when Score is 70-73=143?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10580575_1 (
Electricity numeric,
"CO 2 -emission" numeric,
"unnamed_0" numeric,
Capita text,
"Prim. ... | SELECT Country FROM table_2_16299790_5 WHERE "Score" ILIKE '%70-73=143%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
2533,
310,
2178,
29899,
2481,
29892,
746,
1913,
7289,
21018,
338,
3109,
1135,
29871,
29900,
29973,
29952,
13,
13,
2277,
29937,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the sum of All-Time, when Amateur Era is less than 0?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10527215_3 (
"Winning driver" text,
"Winning team" text,
Rd numeric,
"Fastest Lap"... | SELECT SUM(ALL-TIME) FROM table_2_1725413_5 WHERE "Amateur Era" < '0' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
10875,
386,
1398,
29915,
29879,
3448,
10907,
23995,
1237,
8158,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was Hawthorn's away teams opponents score?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10808933_12 (
Date text,
"Away team" text,
Venue text,
"Home team" text,
Crowd numeric,
"Away ... | SELECT "Away team score" FROM table_2_10808933_12 WHERE "Home team" ILIKE '%hawthorn%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
2099,
1353,
310,
26091,
363,
15586,
4616,
1094,
1562,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the mean number of caps for Ryota Asano?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_11783766_12 (
"Date of Birth (Age)" text,
"Club/province" text,
Caps numeric,
Position text,
P... | SELECT AVG(Caps) FROM table_2_11783766_12 WHERE "Player" ILIKE '%ryota%asano%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
1170,
278,
4797,
363,
12726,
329,
8245,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
2566,
411,
278,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the national for rimutaka`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1057316_1 (
"Build date" text,
"Operational owner(s)" text,
Disposition text,
"Serial number" text,
"Wheel arran... | SELECT NATIONAL FROM table_1_20217811_1 WHERE "Electorate" ILIKE '%Rimutaka%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
7688,
310,
278,
24334,
1304,
297,
263,
1334,
1624,
1609,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the weight of the bullet used in a Weatherby?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11916083_1 (
"Issue Price (BU)[ clarification needed ]" text,
"Issue Price (Proof)" text,
T... | SELECT "Bullet weight" FROM table_1_16010376_1 WHERE "Source" ILIKE '%Weatherby%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1473,
1353,
746,
515,
338,
7536,
304,
29871,
29906,
29900,
29900,
29953,
322,
278,
4654,
29879,
1353,
471,
29871,
29946,
29973,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the second number when from is prior to 2006 and the thirds number was 4?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_11775329_4 (
Place numeric,
From numeric,
Until numeric,
Secon... | SELECT Seconds FROM table_2_11775329_4 WHERE "From" < '2006' AND "Thirds" ILIKE '%4%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1353,
310,
278,
4823,
4257,
29871,
232,
178,
169,
30993,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the number of the song named 實情?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1012730_2 (
"Avg. Finish" text,
Wins numeric,
Position text,
"Top 10" numeric,
"Team(s)" text,
Poles ... | SELECT Number FROM table_2_12341726_1 WHERE "Name of the song" ILIKE '%實情%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
10401,
471,
278,
6939,
12990,
654,
2635,
363,
278,
12990,
654,
4272,
515,
278,
12720,
263,
2859,
373,
6339,
29871,
29906,
29892,
29871,
29906,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`When was the callback audition date for the audition city from the episode aired on February 2, 2011?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11677691_9 (
School text,
Hometown text,
Po... | SELECT "Callback audition date" FROM table_1_27455867_1 WHERE "Episode air date" ILIKE '%February%2,%2011%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
2635,
1258,
278,
3815,
1708,
373,
4723,
29871,
29947,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
37... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What date did the team play on week 8?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10749367_3 (
"Passed?" text,
"Air Date" text,
Challenge text,
Winner text,
"Test-taker" text,
"#" numer... | SELECT Date FROM table_1_24278858_2 WHERE "Week" = '8' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
278,
3402,
363,
278,
4234,
443,
1573,
20748,
373,
29871,
29906,
29900,
4725,
4950,
29871,
29906,
29900,
29900,
29947,
29973,
29952,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`what is the format for the country united kingdom on 20 october 2008?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18424778_6 (
"Catalogue No." text,
Format text,
Date text,
Label text,
Co... | SELECT Format FROM table_2_18424778_6 WHERE "Country" ILIKE '%united%kingdom%' AND "Date" ILIKE '%20%october%2008%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
4847,
471,
278,
6375,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
2566,
411,
278,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which player was the forward?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_15621965_15 (
"School/Club Team" text,
Position text,
"Years in Orlando" text,
Nationality text,
Player text
);
C... | SELECT Player FROM table_2_15621965_15 WHERE "Position" ILIKE '%forward%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
6251,
756,
278,
9939,
425,
567,
310,
1906,
411,
5823,
3080,
18015,
448,
383,
898,
2527,
284,
29892,
7156,
14440,
5739,
29948,
29892... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which entry has the highest laps of those with constructor Minardi - Fondmetal, driver Marc Gené, and a grid larger than 20?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_1123395_2 (
Laps numer... | SELECT MAX(Laps) FROM table_2_1123395_2 WHERE "Constructor" ILIKE '%minardi%-%fondmetal%' AND "Driver" ILIKE '%marc%gené%' AND "Grid" > '20' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
7457,
471,
278,
5528,
3774,
296,
23762,
476,
5422,
515,
29973,
29871,
673,
29901,
29871,
8046,
29871,
29946,
386,
6474,
29952,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which District was the incumbent Julius Kahn from? Answer: California 4th district`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10953197_7 (
"No. in season" numeric,
Title text,
Director t... | SELECT COUNT(District) FROM table_1_1346118_5 WHERE "Incumbent" ILIKE '%Julius%Kahn%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
931,
363,
278,
4768,
446,
313,
29946,
29900,
8848,
29897,
746,
278,
2381,
326,
313,
29896,
29889,
29945,
8848,
29897,
338,
298... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the time for the bike (40km) when the swim (1.5km) is 19:56?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17085947_32 (
Athlete text,
Event text,
"Bike (40km)" text,
Rank numeric,
... | SELECT "Bike (40km)" FROM table_2_17085947_32 WHERE "Swim (1.5km)" ILIKE '%19:56%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
9939,
3001,
1612,
1338,
2113,
491,
263,
5233,
393,
750,
29871,
29955,
18449,
541,
901,
1135,
29871,
29896,
29906,
13283,
1612,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the highest total medals won by a nation that had 7 bronze but more than 12 silver medals?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1231892_4 (
"Production Code" text,
"Broadcast ... | SELECT MAX(Total) FROM table_2_12634250_2 WHERE "Bronze" = '7' AND "Silver" > '12' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1121,
310,
278,
1993,
297,
14320,
29895,
554,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the result of the match in Bangkok?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12321870_32 (
Matches text,
Country text,
Position text,
Period text,
Goals text,
"Player name" te... | SELECT RESULT FROM table_2_14904203_1 WHERE "Venue" ILIKE '%bangkok%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
2635,
1258,
278,
1510,
411,
263,
3652,
7200,
1135,
29871,
29946,
29900,
29892,
5802,
775,
7968,
1135,
29871,
29906,
29896,
29941,
29892,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What date did the show with a series larger than 40, production code smaller than 213, and a season number larger than 11 air?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12148147_2 (
"Third ... | SELECT "Original air date" FROM table_2_11630008_4 WHERE "Series no." > '40' AND "Production Code" < '213' AND "Season no." > '11' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1741,
411,
263,
1121,
310,
29871,
29941,
29899,
29906,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
67... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the event with a result of 3-2?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1132588_3 (
Constructor text,
"Rd." numeric,
"Grand Prix" text,
"Fastest Lap" text,
Report text,
"Pole... | SELECT Competition FROM table_2_11462581_1 WHERE "Result" ILIKE '%3-2%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
10401,
29871,
29896,
29929,
29941,
29946,
281,
2146,
29930,
29871,
29896,
29929,
29994,
29900,
8206,
1171,
338,
278,
259,
29896,
29947,
29929,
299... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`When 1934 wsu* 19–0 pullman is the 1894 wsu 10–0 moscow how many 1899 wsu* 11–0 pullmans are there?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1008653_9 (
"Country ( endonym )" text,
"Offi... | SELECT COUNT("1899 WSU* 11–0 Pullman") FROM table_1_14576636_2 WHERE "1894 WSU 10–0 Moscow" ILIKE '%1934%WSU*%19–0%Pullman%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
1258,
624,
476,
25949,
8158,
746,
896,
892,
278,
3271,
3815,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What did St Kilda score when they were the home team?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10806852_13 (
"Away team score" text,
"Home team score" text,
Crowd numeric,
"Away team" t... | SELECT "Home team score" FROM table_2_10806852_13 WHERE "Home team" ILIKE '%st%kilda%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
1170,
278,
3203,
1629,
363,
13260,
333,
1226,
4518,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
2566,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the least year for david eddy`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10269427_3 (
Airdate text,
Title text,
"Directed by" text,
"Episode #" numeric,
"Written by" text,
"Product... | SELECT MIN(YEAR) FROM table_2_12169926_1 WHERE "Men's singles" ILIKE '%david%eddy%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
9939,
1353,
310,
425,
567,
5331,
411,
29871,
29896,
29953,
3291,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the highest number of laps led with 16 points?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_17319931_1 (
"Fin. Pos" numeric,
Laps numeric,
Driver text,
"Time/Retired" text,
Grid nu... | SELECT MAX("Laps Led") FROM table_1_17319931_1 WHERE "Points" ILIKE '%16%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
3171,
565,
316,
338,
278,
2602,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
25... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the height if de is the position?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1241987_1 (
"Regular Season" text,
League text,
"Open Cup" text,
Year numeric,
Playoffs text,
Divisi... | SELECT COUNT(Height) FROM table_1_20871703_1 WHERE "Position" ILIKE '%DE%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
3271,
3815,
8158,
393,
5318,
3448,
3815,
1559,
29880,
880,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the home team score that played away team carlton?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10809368_18 (
Crowd numeric,
Date text,
"Away team" text,
"Home team" text,
Venue te... | SELECT "Home team score" FROM table_2_10809368_18 WHERE "Away team" ILIKE '%carlton%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
29871,
29896,
303,
24791,
29892,
746,
29871,
29946,
24791,
338,
376,
29941,
29871,
29906,
29955,
29941,
29871,
29946,
29946,
29900,
313... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is 1st Season, when 4 Season is "3 273 440 (17 March 2009)"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10470082_5 (
"US air date" text,
"No." numeric,
Villains text,
Storyteller tex... | SELECT "1 season" FROM table_2_17671150_13 WHERE "4 season" ILIKE '%3%273%440%(17%march%2009)%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
4847,
515,
1570,
12568,
13582,
278,
399,
29934,
2602,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
37... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What player from New Mexico plays the WR position?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_15013564_2 (
Position text,
"School/Club Team" text,
Round numeric,
Player text,
Pick numeri... | SELECT Player FROM table_2_15013564_2 WHERE "Position" ILIKE '%wr%' AND "School/Club Team" ILIKE '%new%mexico%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
10401,
27180,
8408,
292,
12554,
471,
278,
1090,
29899,
29896,
29929,
29892,
1058,
471,
278,
1090,
29899,
29896,
29945,
29973,
29952,
13,
13,
227... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`When Julian Illingworth was the under-19, who was the under-15?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11251601_2 (
"Carbon dioxide emissions per year (10 6 Tons) (2006)" numeric,
"Perc... | SELECT UNDER-15 FROM table_1_26368963_1 WHERE "Under-19" ILIKE '%Julian%Illingworth%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
13977,
923,
5847,
892,
727,
746,
278,
18766,
4266,
1017,
471,
10369,
2723,
275,
457,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many iron chefs were there when the challenge specialty was Japanese cuisine?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11964154_7 (
Score text,
"High rebounds" text,
"High assists" t... | SELECT COUNT("Iron Chef") FROM table_1_23982399_1 WHERE "Challenger Specialty" ILIKE '%Japanese%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
278,
260,
3409,
482,
310,
278,
7751,
4139,
292,
262,
5757,
3857,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`what is the tonnage of the ship koningin juliana?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1216675_1 (
Chinese text,
Translation text,
Pinyin text,
Subject text,
Chapter numeric
);
CRE... | SELECT Tonnage FROM table_2_11662133_3 WHERE "Ship's name" ILIKE '%koningin%juliana%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
29871,
29896,
29929,
29955,
29953,
995,
310,
278,
9870,
4673,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the 1976 value of the Australian Open?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1014319_1 (
"Dance/song" text,
Week numeric,
Horwood text,
Total text,
Goodman text,
Tonioli te... | SELECT 1976 FROM table_2_11422713_2 WHERE "Tournament" ILIKE '%australian%open%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
6811,
497,
1353,
363,
278,
4847,
411,
263,
2602,
310,
315,
322,
263,
4513,
7621,
1135,
29871,
29955,
29973,
29952,
13,
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,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the Overall number for the player with a position of C and a round greater than 7?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10284385_1 (
"State served" text,
"House term" text,
... | SELECT SUM(Overall) FROM table_2_17100961_7 WHERE "Round" > '7' AND "Position" ILIKE '%c%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
15456,
29892,
746,
1763,
610,
338,
376,
29896,
613,
322,
746,
14574,
338,
376,
2008,
345,
13402,
4156,
359,
8652,
29952,
13,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Country, when To par is "1", and when Player is "Seve Ballesteros"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18122130_3 (
"Year(s) won" text,
Player text,
Total numeric,
Country... | SELECT Country FROM table_2_18122130_3 WHERE "To par" = '1' AND "Player" ILIKE '%seve%ballesteros%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
3748,
750,
29871,
29947,
18449,
322,
29871,
29946,
7684,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which game had 8 bronze and 4 gold?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10882501_1 (
Silver text,
Games text,
Gold text,
Rank text,
Total text,
Bronze text
);
CREATE TABLE table_... | SELECT Games FROM table_2_10882501_1 WHERE "Bronze" ILIKE '%8%' AND "Gold" ILIKE '%4%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
4967,
746,
278,
9939,
2791,
338,
29871,
29955,
29929,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the subject when the highest mark is 79?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11411026_2 (
"Original air date" text,
"Directed by" text,
"U.S. viewers (millions)" text,
"No.... | SELECT Subject FROM table_1_29842201_1 WHERE "Highest mark" = '79' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
29871,
29896,
29901,
29941,
29900,
26354,
29892,
746,
29871,
29955,
29901,
29900,
29900,
626,
338,
376,
29911,
4901,
1763,
265,
21255,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is 1:30 pm, when 7:00 am is "Tiny Toon Adventures"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17871255_3 (
"12:30 pm" text,
"8:00 am" text,
"1:00 pm" text,
"3:00 pm" text,
"5:00 pm... | SELECT "1:30 pm" FROM table_2_17871255_3 WHERE "7:00 am" ILIKE '%tiny%toon%adventures%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
19604,
12463,
1629,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
2566,
411,
278,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the lowest overall year?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_16677738_1 (
"Gore Hundred" numeric,
Year numeric,
"Inns of Court and Chancery" numeric,
"Holborn Division" num... | SELECT MIN(YEAR) FROM table_1_16677738_1 |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
29908,
3112,
29915,
29879,
451,
590,
4982,
29908,
338,
278,
9212,
3611,
297,
694,
29889,
297,
4259,
17580,
13,
13,
2277,
29937,
5470,
1102,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`"It's not my job" is the minimum title in no. in season.`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10935548_1 (
"No. in season" numeric,
"Production code" text,
"Original air date" text,
... | SELECT MIN("No. in season") FROM table_1_25276528_2 WHERE "Title" ILIKE '%"It's%NOT%My%Job"%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
2635,
411,
278,
1887,
1024,
29892,
11650,
11635,
29942,
5395,
531,
29927,
2384,
1910,
29892,
6025,
4192,
30044,
485,
13887,
269,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the date with the local name, дан државности србије, dan državnosti srbije, and what is February 15, 2012?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18012080_1 (
"2013 Date" text,
... | SELECT Date FROM table_2_18012080_1 WHERE "Local Name" ILIKE '%дан%државности%србије,%dan%državnosti%srbije%' AND "2012 Date" ILIKE '%february%15%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
10401,
892,
278,
350,
3973,
414,
29871,
29906,
29955,
29899,
29941,
29896,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`When were the Brewers 27-31?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11274401_2 (
Episode text,
"18–49 (Rating/Share)" text,
"No." numeric,
Share numeric,
"Viewers (m)" text,
"Air Da... | SELECT Date FROM table_2_13041545_5 WHERE "Record" ILIKE '%27-31%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
29871,
29906,
29900,
29896,
29941,
29899,
29906,
29900,
29896,
29946,
8542,
363,
278,
11902,
369,
3391,
12533,
11821,
29883,
1446,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the 2013-2014 division for the Wolverhampton Wildcats?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12305325_4 (
Eliminated text,
"Brunos vote" text,
Safe text,
Week numeric,
"Lens... | SELECT "2013–14 division" FROM table_2_16135522_4 WHERE "Team" ILIKE '%wolverhampton%wildcats%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
526,
278,
11486,
310,
278,
282,
24701,
10929,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What are the notes of the patience theme?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11964047_8 (
Score text,
Record text,
Home text,
Attendance text,
Visitor text,
Streak text,
Date t... | SELECT Notes FROM table_2_18312844_5 WHERE "Theme" ILIKE '%patience%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
3652,
1353,
363,
278,
12720,
3971,
491,
17773,
264,
11566,
11461,
322,
4699,
20807,
309,
13308,
29973,
29952,
13,
13,
2277,
29... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the series number for the episode written by Kristen Dunphy and David Ogilvy?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_19517621_3 (
Viewers numeric,
Title text,
"Episode #" numer... | SELECT MAX("Series #") FROM table_1_19517621_3 WHERE "Written by" ILIKE '%Kristen%Dunphy%and%David%Ogilvy%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
7115,
746,
29871,
29953,
29946,
29889,
29945,
338,
28189,
267,
29914,
2272,
2572,
4841,
29973,
29952,
13,
13,
2277,
29937,
5470,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the rank when 64.5 is tosses/pyramids?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1213511_4 (
"College/junior/club team" text,
Position text,
"Pick #" numeric,
Player text,
Natio... | SELECT MAX(Rank) FROM table_1_22014431_3 WHERE "Tosses/Pyramids" ILIKE '%64.5%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
24791,
750,
360,
870,
3905,
3303,
408,
263,
399,
3993,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What Season had Dundee United as a Winner?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10610087_6 (
"Directed by" text,
"Original air date" text,
Title text,
"Written by" text,
"No. in se... | SELECT Season FROM table_2_10929673_2 WHERE "Winners" ILIKE '%dundee%united%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
526,
6588,
6826,
267,
411,
29871,
29900,
4418,
1973,
29892,
696,
3522,
310,
1105,
29891,
3365,
29892,
322,
3109,
1135,
29871,
29896,
29906... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What are average launches with 0 failures, rocket of Soyuz, and less than 12 successes?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10477224_1 (
Species text,
"Petal length" text,
"Sepal wi... | SELECT AVG(Launches) FROM table_2_13894411_7 WHERE "Failures" = '0' AND "Rocket" ILIKE '%soyuz%' AND "Successes" < '12' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
6475,
505,
4628,
889,
5861,
3291,
408,
29871,
29896,
29955,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many records have black knights points as 17?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_21091162_1 (
Game numeric,
"Black Knights points" numeric,
Record text,
Date text,
Result tex... | SELECT COUNT(Record) FROM table_1_21091162_1 WHERE "Black Knights points" = '17' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
2635,
471,
8649,
11358,
278,
3271,
3815,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
2566,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What date was Millwall the home team?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17608125_5 (
"Home team" text,
"Tie no" text,
Date text,
Score text,
"Away team" text
);
CREATE TABLE tab... | SELECT Date FROM table_2_17608125_5 WHERE "Home team" ILIKE '%millwall%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
25039,
1299,
319,
1525,
6093,
379,
6259,
9606,
1254,
349,
6992,
9375,
22659,
21947,
1964,
29903,
365,
1718,
17070,
3446,
2190,
29871,
29946,
299... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`WHAT ARE THE HIGHEST POINTS WITH GOALS LARGER THAN 48, WINS LESS THAN 19, GOALS AGAINST SMALLER THAN 44, DRAWS LARGER THAN 5?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17740819_2 (
Wins num... | SELECT MAX(Points) FROM table_2_17740819_2 WHERE "Goals for" > '48' AND "Wins" < '19' AND "Goals against" < '44' AND "Draws" > '5' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
21957,
363,
278,
9184,
29871,
29906,
29892,
12730,
14743,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the outcome for the Rome 2, Italy tournament?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11713303_2 (
"Outgoing manager" text,
"Date of appointment" text,
"Replaced by" text,
"Da... | SELECT Outcome FROM table_2_12259697_8 WHERE "Tournament" ILIKE '%rome%2,%italy%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
3697,
363,
29871,
29906,
29900,
29900,
29955,
472,
278,
19025,
12482,
408,
14743,
17580,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What shows for 2007 at the Olympic Games as tournament.`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1037590_1 (
"Games started" numeric,
Yards numeric,
Year numeric,
Interceptions numeric,... | SELECT 2007 FROM table_2_12209362_13 WHERE "Tournament" ILIKE '%olympic%games%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
8158,
746,
1352,
6102,
895,
360,
1276,
29878,
471,
18096,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the score when Françoise Dürr was partner?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12060_2 (
"unnamed_0" numeric,
"Fertility rates" text,
"Live births" text,
Deaths text,
"Na... | SELECT Score FROM table_1_177273_2 WHERE "Partner" ILIKE '%Françoise%Dürr%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
1629,
1258,
1472,
6115,
16372,
5967,
278,
21362,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What year did longwood university leave the conference?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11658094_3 (
Institution text,
Left numeric,
Location text,
Enrollment numeric,
Joined ... | SELECT MIN(LEFT) FROM table_1_11658094_3 WHERE "Institution" ILIKE '%Longwood%University%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
797,
825,
1629,
1258,
2443,
16711,
17404,
455,
29895,
646,
5175,
1708,
1757,
29915,
29879,
2323,
322,
11230,
390,
625,
1708,
5866,
29915,
29879,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`In what year did Stephan Wojcikiewicz play men's single and Anna Rice play women's single?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10015132_21 (
"Years in Toronto" text,
Nationality text... | SELECT YEAR FROM table_2_10369628_2 WHERE "Men's Singles" ILIKE '%stephan%wojcikiewicz%' AND "Women's Singles" ILIKE '%anna%rice%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
3001,
14433,
892,
1754,
472,
278,
3748,
373,
29871,
29896,
29945,
3979,
29871,
29896,
29929,
29947,
29929,
29973,
29952,
13,
13,
227... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many total goals were made at the game on 15 November 1989?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11677691_2 (
School text,
College text,
Hometown text,
Position text,
Player te... | SELECT COUNT(Goal) FROM table_2_1208731_3 WHERE "Date" ILIKE '%15%november%1989%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
8448,
756,
263,
2522,
487,
310,
29871,
29946,
29994,
29900,
322,
8984,
29879,
310,
29871,
29946,
29946,
29973,
29952,
13,
13,
2277,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which Game has a Score of 4–0 and Points of 44?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11251109_3 (
Episode text,
"Viewers (m)" text,
"Air Date" text,
"Timeslot (EST)" text,
Season t... | SELECT Game FROM table_2_14208850_4 WHERE "Score" ILIKE '%4–0%' AND "Points" = '44' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
2951,
825,
4712,
471,
278,
1993,
411,
18096,
476,
3055,
405,
6485,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`On what Date was the match with partner Kira Nagy?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_16893837_6 (
Tournament text,
Date text,
Surface text,
Score text,
Partner text,
"Opponent ... | SELECT Date FROM table_2_16893837_6 WHERE "Partner" ILIKE '%kira%nagy%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
1629,
756,
385,
2228,
8666,
975,
29871,
29896,
29945,
29889,
29929,
29945,
29892,
322,
263,
4266,
11486,
515,
1226,
14132,
265,
17182,
414... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What year has an issue price over 15.95, and a special notes from edmonton oilers gift set?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12030612_9 (
"Season #" numeric,
"Directed by" text,
... | SELECT COUNT(YEAR) FROM table_2_12991375_10 WHERE "Issue price" > '15.95' AND "Special notes" ILIKE '%from%edmonton%oilers%gift%set%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1121,
297,
29871,
29896,
29929,
29929,
29946,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the result in 1994?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11274401_3 (
Share text,
"18–49 (Rating/Share)" text,
"Air Date" text,
Episode text,
"Viewers (m)" text,
Rating te... | SELECT RESULT FROM table_2_17064818_1 WHERE "Year" = '1994' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
3644,
278,
29871,
29896,
3308,
29928,
29922,
29871,
29945,
29892,
29929,
29896,
29953,
29889,
29906,
29955,
29892,
825,
338,
278,
19604,
29871,
29... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`If the 1USD= 5,916.27, what is the lowest 1 Euro amount?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12060_2 (
"Crude birth rate (per 1000)" text,
"unnamed_0" numeric,
"Live births" text,
... | SELECT MIN("1 Euro =") FROM table_2_1222653_10 WHERE "1 USD =" = '5,916.27' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
9939,
8984,
29879,
297,
20627,
29871,
29906,
411,
901,
1135,
29871,
29941,
16322,
1233,
8090,
29973,
29952,
13,
13,
2277,
29937,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the highest Points in Position 2 with more than 3 Drawn games?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_15421748_1 (
Points numeric,
Difference text,
Team text,
Drawn numeric,
... | SELECT MAX(Points) FROM table_2_15421748_1 WHERE "Position" = '2' AND "Drawn" > '3' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
2951,
825,
2462,
471,
278,
14333,
749,
393,
750,
263,
323,
347,
995,
310,
29871,
29946,
29900,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`On what day was the attendance that had a Tie value of 40?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12226390_4 (
"No. in season" numeric,
"No. in series" numeric,
Title text,
"Directed ... | SELECT Attendance FROM table_2_16351829_1 WHERE "Tie no" ILIKE '%40%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
3217,
1657,
278,
6588,
1174,
1245,
358,
297,
4966,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`COunt the average Enrollment in hope?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11318462_29 (
"In competition since" numeric,
Abbreviation text,
"School Colours" text,
Location text,
De... | SELECT AVG(Enrollment) FROM table_2_18942405_2 WHERE "Location" ILIKE '%hope%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
3815,
471,
278,
3448,
3815,
746,
278,
3271,
3815,
15569,
29871,
29929,
29889,
29896,
29900,
313,
29953,
29946,
6877,
29952,
13,
13,
2277,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What team was the away team when the home team scored 9.10 (64)?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1242447_2 (
"English Spelling" text,
"Strongs #" text,
"Strongs Words Compounded... | SELECT "Away team" FROM table_2_10808089_5 WHERE "Home team score" ILIKE '%9.10%(64)%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
282,
2108,
424,
411,
3384,
1460,
29892,
360,
3774,
442,
265,
408,
278,
12856,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the pennant with Denny, Dumbarton as the builder?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12113818_1 (
"Communications and Corporate Affairs" text,
"External Affairs" text,
"Hum... | SELECT Pennant FROM table_2_1206583_2 WHERE "Builder" ILIKE '%denny,%dumbarton%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
2186,
2602,
310,
26053,
7142,
943,
4011,
4623,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the final position of Arena Motorsports International?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11621799_1 (
"Purse( $ )" numeric,
Winner text,
Location text,
Tournament text,
... | SELECT Pos. FROM table_2_1226329_3 WHERE "Team" ILIKE '%arena%motorsports%international%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
22110,
15569,
278,
1556,
15121,
3885,
297,
278,
3748,
2750,
10059,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who scored the most rebounds in the game against Chicago?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11916083_1 (
Theme text,
"Mintage (Proof)" text,
Year numeric,
"Issue Price (Proof)" t... | SELECT "High rebounds" FROM table_1_15869204_9 WHERE "Team" ILIKE '%Chicago%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
3694,
310,
278,
266,
29876,
5190,
411,
263,
3081,
7621,
1135,
29871,
29906,
29906,
29900,
29973,
29952,
13,
13,
2277,
29937,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the numbers of the thn unit with a power greater than 220?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_1527960_3 (
"Year built" numeric,
"Power (horsepower)" numeric,
"Max Speed (km... | SELECT Numbers FROM table_2_1527960_3 WHERE "Power (horsepower)" > '220' AND "Type" ILIKE '%thn%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
5839,
1353,
297,
4513,
29871,
29906,
29906,
29947,
363,
12828,
14601,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the pick number in round 228 for Mike Ford?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_11420734_1 (
School text,
Position text,
Pick numeric,
Player text,
Round numeric
);
CREAT... | SELECT MAX(Pick) FROM table_2_11420734_1 WHERE "Player" ILIKE '%mike%ford%' AND "Round" > '228' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
3461,
756,
263,
8158,
310,
29871,
29900,
29899,
29900,
411,
16198,
7992,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What report has a score of 0-0 with Sydney FC?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_13830671_1 (
Venue text,
"Home team" text,
"Away team" text,
Date text,
Crowd text,
Score text,... | SELECT Report FROM table_2_13830671_1 WHERE "Score" ILIKE '%0-0%' AND "Away team" ILIKE '%sydney%fc%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
12208,
14866,
7889,
29915,
29879,
1763,
610,
746,
670,
3001,
471,
7968,
1135,
29871,
29906,
29947,
29946,
29973,
29952,
13,
13,
2277,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was Jeff Sluman's To par when his total was smaller than 284?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11148572_1 (
Season numeric,
"MLS Supporters Shield Runner-Up" text,
"MLS Supp... | SELECT "To par" FROM table_2_18112814_1 WHERE "Total" < '284' AND "Player" ILIKE '%jeff%sluman%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1568,
7684,
947,
278,
23735,
505,
393,
756,
29871,
29941,
13283,
322,
901,
1135,
29871,
29941,
18449,
29973,
29952,
13,
13,
2277,
29937,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How much gold does the tank have that has 3 silver and more than 3 bronze?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11391954_3 (
"Half Marathon (mens)" numeric,
"Marathon (mens)" numeric,... | SELECT COUNT(Gold) FROM table_2_17838465_2 WHERE "Silver" = '3' AND "Bronze" > '3' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
1762,
607,
6263,
947,
4755,
399,
29889,
2155,
5397,
6852,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`To which party does Robert W. Edgar belong?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1009087_1 (
"TV season" text,
Network text,
"Viewers (in millions)" text,
Ranking text,
"Season pre... | SELECT Party FROM table_1_1341598_39 WHERE "Incumbent" ILIKE '%Robert%W.%Edgar%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
1158,
750,
263,
931,
310,
29871,
29900,
29901,
29946,
29953,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which method had a time of 0:46?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12444503_1 (
Season text,
"Runner-up" text,
Winner text,
Score text,
"lost to eventual runner-up" text,
"lost... | SELECT METHOD FROM table_2_17442478_2 WHERE "Time" ILIKE '%0:46%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
8158,
310,
263,
3815,
411,
22134,
310,
29871,
29946,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`what is score of a team with tie of 4?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12303563_2 (
"3rd Place" numeric,
Nation text,
"Runners-up" numeric,
Winners numeric,
"#" numeric,
"4th... | SELECT Score FROM table_2_16222274_7 WHERE "Tie no" ILIKE '%4%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
29871,
29896,
303,
2814,
310,
3815,
29871,
29896,
22105,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the 1st leg of team 1 Lyon?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10921309_1 (
"CO 2 -emission" text,
Capita text,
"Prim. energy" numeric,
Production numeric,
"unnamed_0" nu... | SELECT "1st leg" FROM table_2_14679997_3 WHERE "Team 1" ILIKE '%lyon%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1024,
310,
278,
3271,
10728,
1974,
310,
1771,
275,
29890,
1662,
365,
1080,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the name of the home stadium of Brisbane Lions?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10264179_2 (
Circuit text,
"Winning Team" text,
"Winning Driver" text,
"Pole Position" t... | SELECT Ground FROM table_2_16388478_3 WHERE "Home team" ILIKE '%brisbane%lions%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1018,
28920,
746,
278,
6410,
338,
29871,
29896,
29941,
322,
278,
4216,
338,
29871,
29906,
29973,
29952,
13,
13,
2277,
29937,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the try bonus when the loss is 13 and the draw is 2?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17675675_2 (
Played text,
Club text,
"Tries for" text,
"Points against" text,
"Poi... | SELECT "Try bonus" FROM table_2_17675675_2 WHERE "Lost" ILIKE '%13%' AND "Drawn" ILIKE '%2%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
2305,
508,
367,
409,
630,
373,
278,
15780,
393,
471,
9129,
297,
29871,
29906,
29900,
29900,
29947,
322,
756,
11486,
310,
297,
2669... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many people can be seated on the aircraft that was introduced in 2008 and has notes of in service?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11960944_4 (
"Location Attendance" text,
Ga... | SELECT Seating FROM table_2_180466_4 WHERE "Notes" ILIKE '%in%service%' AND "Introduced" = '2008' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
22110,
750,
278,
5172,
342,
23012,
746,
594,
314,
25542,
397,
5059,
283,
471,
278,
15613,
7156,
322,
750,
278,
22775,
2602,
29973,
29952,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who had the fastest lap when adam christodoulou was the winning driver and had the pole position?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11148572_1 (
"MLS Cup Runner-Up" text,
Season nu... | SELECT "Fastest Lap" FROM table_2_18381884_3 WHERE "Winning driver" ILIKE '%adam%christodoulou%' AND "Pole Position" ILIKE '%adam%christodoulou%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
363,
10151,
1179,
526,
727,
746,
278,
2750,
19649,
338,
29871,
29941,
29945,
29892,
29955,
29947,
29906,
313,
29953,
29929,
6877,
29... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many for percentages are there when the against percentage is 35,782 (69)?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10798928_1 (
"Original title" text,
"Year (Ceremony)" text,
Result... | SELECT "For (%)" FROM table_1_1289762_1 WHERE "Against (%)" ILIKE '%35,782%(69)%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
8778,
8583,
29892,
746,
323,
347,
694,
338,
376,
29906,
29955,
8652,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Home Team, when Tie no is "27"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1046454_1 (
League text,
Playoffs text,
Division numeric,
Year numeric,
"Regular Season" text,
"Open C... | SELECT "Home team" FROM table_2_17751803_1 WHERE "Tie no" ILIKE '%27%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
1170,
278,
5120,
1434,
29871,
29906,
29900,
29900,
29947,
746,
1024,
310,
1900,
29871,
29896,
29906,
29900,
29900,
29952,
13,
13,
2277,
29937,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the region before 2008 when name of best 1200`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11694832_1 (
"Directed by" text,
"Written by" text,
"No. in series" numeric,
Title text,
"No... | SELECT Region FROM table_2_11947078_2 WHERE "Year" < '2008' AND "Name" ILIKE '%best%1200%' |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.