input_ids list | attention_mask list | labels list | prompt stringlengths 528 1.77k | completion stringlengths 40 173 |
|---|---|---|---|---|
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Generate a SQL query to answer the following question:
`Who won the mixed doubles when ji xinpeng won the mens singles?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10960039_1 (
Player text,
Position text,
"Pick #" numeric,
College text,
"CFL T... | SELECT "Mixed doubles" FROM table_1_12027364_1 WHERE "Mens singles" ILIKE '%Ji%Xinpeng%' |
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Generate a SQL query to answer the following question:
`What is the lest amount of bronzes that ranked 2 and has less silvers than 0?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17048578_2 (
Gold numeric,
Total numeric,
Rank numeric,
Bronze num... | SELECT MIN(Bronze) FROM table_2_17048578_2 WHERE "Rank" = '2' AND "Silver" < '0' |
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Generate a SQL query to answer the following question:
`Name the record for may 3`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12261806_2 (
"Points classification" text,
Winner text,
"Young rider classification" text,
Stage text,
"Mountains cla... | SELECT Record FROM table_2_11785072_3 WHERE "Date" ILIKE '%may%3%' |
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Generate a SQL query to answer the following question:
`Which FAT32 has a no for HPFS, a no for ReFS, and a yes v3.0 fir NTFS?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11891841_2 (
"Transfer fee" text,
Ends numeric,
EU text,
Source text,
P ... | SELECT FAT32 FROM table_2_10758793_13 WHERE "HPFS" ILIKE '%no%' AND "ReFS" ILIKE '%no%' AND "NTFS" ILIKE '%yes%v3.0%' |
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Generate a SQL query to answer the following question:
`what is the minimum rockhampton`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11664625_2 (
"Original air date" text,
"U.S. viewers (millions)" text,
"Written by" text,
"No. in season" numeri... | SELECT MIN(Rockhampton) FROM table_1_12570207_1 |
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Generate a SQL query to answer the following question:
`What was the status of Bluetooth for the model that launched after 2004 with a ROM (MiB) of 128 and a Wifi of 802.11b?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1057262_1 (
"2001-02" numeri... | SELECT Bluetooth FROM table_2_1217793_1 WHERE "Launch year" > '2004' AND "ROM ( MiB )" = '128' AND "WiFi" ILIKE '%802.11b%' |
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Generate a SQL query to answer the following question:
`What is the geo id when water is 0.457?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10240125_1 (
Season text,
Division text,
"League Goals" numeric,
"FA Cup Apps" numeric,
"FA Cup Goals" ... | SELECT MIN("GEO ID") FROM table_1_18600760_12 WHERE "Water (sqmi)" ILIKE '%0.457%' |
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Generate a SQL query to answer the following question:
`Position of defensive tackle, and a Round of 4, and a Pick # smaller than 36 has what overall average?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11449590_2 (
Date text,
"Game site" text,
... | SELECT AVG(Overall) FROM table_2_13312898_57 WHERE "Position" ILIKE '%defensive%tackle%' AND "Round" = '4' AND "Pick #" < '36' |
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Generate a SQL query to answer the following question:
`In what round did Al Unser win at Wisconsin State Fair Park Speedway? `
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_22673872_1 (
Rnd numeric,
"Race Name" text,
Location text,
"Pole Position... | SELECT MIN(Rnd) FROM table_1_22673872_1 WHERE "Winning Driver" ILIKE '%Al%Unser%' AND "Track" ILIKE '%Wisconsin%State%Fair%Park%Speedway%' |
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Generate a SQL query to answer the following question:
`What was the record when the Clippers played Philadelphia? `
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_27756572_10 (
Game numeric,
Date text,
Team text,
Record text,
"High points" text,
... | SELECT Record FROM table_1_27756572_10 WHERE "Team" ILIKE '%Philadelphia%' |
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2346,
674,
106... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which Construction is named of fu-hsing?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10748727_1 (
Podiums numeric,
Points text,
"F/Laps" numeric,
"Team Name" text,
Position text,
Season ... | SELECT Construction FROM table_2_18820545_1 WHERE "Name (Wade Giles)" ILIKE '%fu-hsing%' |
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304,
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278,
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29901,
13,
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5328,
1784,
14514,
267,
505,
385,
317,
29914,
19907,
7968,
1135,
29871,
29896,
29941,
29941,
29889,
29955,
29906,
29892,
322,
263,
8583,
310,
34... | [
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1,
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1,
1,
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1,
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1,
1,
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1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many Matches have an S/Rate smaller than 133.72, and a Team of yorkshire carnegie?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12379297_1 (
"Station Type" text,
"Coverage (Transmitter si... | SELECT COUNT(Matches) FROM table_2_17900317_4 WHERE "S/Rate" < '133.72' AND "Team" ILIKE '%yorkshire%carnegie%' |
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304,
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29901,
13,
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9182,
310,
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29953,
29994,
29947,
750,
825,
14333,
749,
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29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
3... | [
1,
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1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1... | [
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Record of 6–8 had what attendance?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_14876127_2 (
"Game Site" text,
Record text,
Date text,
Week numeric,
Attendance text,
Opponent text,
Resul... | SELECT Attendance FROM table_2_14876127_2 WHERE "Record" ILIKE '%6–8%' |
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2346,
304,
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278,
1494,
1139,
29901,
13,
29952,
4716,
4234,
756,
3052,
19859,
14198,
653,
408,
4642,
1813,
424,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065... | [
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`which country has miss universe Hungary as former pageant?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12251936_1 (
"GFR 2006" text,
County text,
"Whites as % of Pop." text,
"TFR 2006" tex... | SELECT Country/Territory FROM table_1_14308895_2 WHERE "Former pageant" ILIKE '%Miss%Universe%Hungary%' |
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13,
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304,
1234,
278,
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1139,
29901,
13,
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5618,
338,
278,
390,
23081,
2048,
310,
278,
3852,
8778,
5656,
29871,
29906,
29900,
29896,
29896,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
... | [
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
-100,
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-100,
-100,
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-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 RTM build of the Windows Home Server 2011?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10477224_1 (
"Sepal length" text,
"Sepal width" text,
"Petal length" text,
"Petal width" ... | SELECT "RTM build" FROM table_2_10758793_4 WHERE "Name" ILIKE '%windows%home%server%2011%' |
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13,
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403,
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304,
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278,
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29901,
13,
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22110,
750,
263,
639,
20309,
19649,
310,
29871,
29955,
29955,
29889,
29929,
29953,
29995,
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,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-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 a perfection percentage of 77.96%?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10312547_1 (
"1955 broadcast" text,
"1998 Broadway" text,
"1960 broadcast" text,
"1954 Broadway" text... | SELECT Name FROM table_2_12963707_2 WHERE "Perfection" ILIKE '%77.96%%' |
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2346,
304,
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278,
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13,
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5618,
471,
278,
21957,
363,
278,
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29952,
13,
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2277,
29937,
5470,
1102,
2603,
13,
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2346,
674,
1065,
373,
263,
2566,
... | [
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-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 India Open?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10935548_1 (
"U.S. viewers (millions)" text,
"Directed by" text,
"Written by" text,
"Original air date"... | SELECT Outcome FROM table_2_14895621_2 WHERE "Venue" ILIKE '%india%open%' |
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304,
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471,
278,
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310,
278,
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373,
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29892,
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29929,
29906,
29953,
29973,
29952,
13,
13,
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29937,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-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 result of the game on January 5, 1926?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_15374691_2 (
Result text,
Opponent text,
Record text,
Number numeric,
Date text,
Score tex... | SELECT RESULT FROM table_2_15374691_2 WHERE "Date" ILIKE '%january%5,%1926%' |
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304,
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2603,
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... | [
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-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 crowd when the away team was hawthorn?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10470082_7 (
Storyteller text,
Director text,
Villains text,
"US air date" text,
Title text... | SELECT MIN(Crowd) FROM table_2_10809368_14 WHERE "Away team" ILIKE '%hawthorn%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
8175,
750,
5457,
29891,
306,
384,
29916,
408,
278,
19576,
322,
26234,
2169,
7511,
5271,
411,
278,
5172,
342,
23012,
29973,
29952,
1... | [
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which race had Jacky Ickx as the winner and Clay Regazzoni with the fastest lap?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1161065_28 (
Hosted numeric,
Total numeric,
Venue text,
"Up/Dow... | SELECT Race FROM table_2_1140091_1 WHERE "Winning driver" ILIKE '%jacky%ickx%' AND "Fastest lap" ILIKE '%clay%regazzoni%' |
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 away team score for the game where the home team scored 19.16 (130)?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11111116_7 (
Title text,
"U.S. viewers (million)" text,
"Directe... | SELECT "Away team score" FROM table_2_10887379_1 WHERE "Home team score" ILIKE '%19.16%(130)%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
6033,
1175,
29875,
18527,
756,
29871,
29896,
29896,
20981,
2631,
29892,
322,
263,
5648,
12039,
310,
4084,
2397,
9631,
29892,
322,
319... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 Romaji Title has 11 Episodes, and a TV Station of fuji tv, and Average Ratings of 14.9%?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11960610_10 (
"High points" text,
Record text,
Dat... | SELECT "Romaji Title" FROM table_2_18539861_1 WHERE "Episodes" = '11' AND "TV Station" ILIKE '%fuji%tv%' AND "Average Ratings" ILIKE '%14.9%%' |
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1,
835,
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13,
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2346,
304,
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1139,
29901,
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338,
278,
1880,
24808,
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338,
29871,
29906,
322,
29871,
29941,
29953,
338,
29871,
29896,
29900,
29900,
29974,
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,
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 high checkout when played is 2 and 36 is 100+?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_20948329_1 (
"Legs Won" numeric,
Player text,
LWAT numeric,
Played numeric,
"Legs Lo... | SELECT MIN("High Checkout") FROM table_1_20948329_1 WHERE "Played" = '2' AND "100+" = '36' |
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1,
835,
9330,
13,
5631,
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263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
6028,
366,
2649,
592,
278,
6588,
5846,
364,
2455,
756,
278,
438,
407,
265,
296,
310,
732,
4842,
10268,
2910,
280,
20447,
29879,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
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-100,
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-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 average December rhat has the Opponent of @ toronto maple leafs?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11465521_2 (
"Game site" text,
Attendance text,
"Kickoff [a ... | SELECT AVG(December) FROM table_2_17311408_4 WHERE "Opponent" ILIKE '%@%toronto%maple%leafs%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1024,
310,
2022,
393,
15569,
29871,
29896,
29900,
14433,
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,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-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 person that scored 10 goals?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11585313_1 (
number numeric,
"number of goals" numeric,
"date of debut" text,
name text,
"date... | SELECT name FROM table_1_11585313_1 WHERE "number of goals" = '10' |
[
1,
835,
9330,
13,
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403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
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5618,
338,
9904,
408,
278,
5057,
342,
7412,
287,
322,
393,
756,
263,
15484,
393,
338,
7200,
1135,
29871,
29896,
29900,
29973,
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,
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-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is listed as the Highest Played and that has a Place that is larger than 10?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11677691_12 (
College text,
Player text,
School text,
Position... | SELECT MAX(Played) FROM table_2_13013383_1 WHERE "Place" > '10' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
29928,
3864,
825,
2440,
526,
278,
19649,
975,
3001,
8818,
337,
9947,
338,
29871,
29900,
29889,
29953,
29945,
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:
`During what years are the percentage over total tax revenue is 0.65?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1246208_5 (
Club text,
"Goals For Avg." text,
"Goals Against" numeric,
"Goa... | SELECT YEAR FROM table_1_1618358_1 WHERE "over Total Tax Revenue (in %)" ILIKE '%0.65%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
29915,
29879,
278,
443,
1885,
363,
29871,
228,
161,
146,
31155,
31567,
228,
161,
187,
228,
161,
148,
31708,
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's the ungen for ត្រីទស?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1112176_1 (
"Total Apps (Sub)" text,
"FL Cup Apps (Sub)" numeric,
"League Goals" numeric,
"FA Cup Goals" numeric,
... | SELECT UNGEGN FROM table_2_1270572_9 WHERE "Word form" ILIKE '%ត្រីទស%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
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5618,
338,
1432,
5001,
411,
385,
2380,
7688,
292,
1273,
310,
29871,
29896,
322,
278,
4272,
310,
4792,
277,
10139,
5105,
29973,
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 every company with an index weighting % of 1 and the city of Dimitrovgrad?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10015132_7 (
"Years in Toronto" text,
"No." numeric,
Nationali... | SELECT Company FROM table_1_20667854_1 WHERE "Index weighting (%" ILIKE '%1%' AND "City" ILIKE '%Dimitrovgrad%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
6588,
14333,
749,
310,
263,
3815,
411,
263,
29871,
29941,
29947,
29994,
29941,
29896,
29994,
29947,
2407,
29973,
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 was the average attendance of a team with a 38–31–8 record?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10942714_1 (
"HK viewers" text,
"English title" text,
Finale numeric,
Premiere ... | SELECT AVG(Attendance) FROM table_2_11756731_8 WHERE "Record" ILIKE '%38–31–8%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
1353,
310,
317,
2261,
574,
388,
363,
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562,
744,
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 number of S Barangay for Paracale?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_255885_1 (
Municipality text,
"Population (2010)" numeric,
"No. of s Barangay" numeric,
"Populati... | SELECT "No. of s Barangay" FROM table_1_255885_1 WHERE "Municipality" ILIKE '%Paracale%' |
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2346,
304,
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278,
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13,
29952,
3525,
1784,
3064,
338,
278,
2635,
313,
517,
29897,
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29929,
29896,
29929,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
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1... | [
-100,
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-100,
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-100,
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-100,
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-100,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`how many times is the date (to) 1919?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1004033_1 (
College text,
Nationality text,
Position text,
Season numeric,
"Draft Pick #" text,
Player t... | SELECT COUNT(Notes) FROM table_1_12562214_1 WHERE "Date (To)" ILIKE '%1919%' |
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29947,
29955,
411,
22134,
1353,
29871,
29896,
29973,
29952,
13,
13,
2... | [
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 on 31 January 1987 with tie number 1?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17751837_4 (
Score text,
"Away team" text,
"Home team" text,
"Tie no" text,
Date text
... | SELECT Score FROM table_2_17751837_4 WHERE "Date" ILIKE '%31%january%1987%' AND "Tie no" ILIKE '%1%' |
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29901,
13,
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5618,
338,
278,
15613,
10638,
310,
278,
1024,
14436,
262,
413,
388,
1050,
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... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-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 winning span of the name martin kaymer?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12280396_1 (
Peak text,
"Isolation (km)" numeric,
County text,
"Elevation (m)" numeric,
"Pr... | SELECT "Winning span" FROM table_1_1953516_1 WHERE "Name" ILIKE '%Martin%Kaymer%' |
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5618,
3748,
1258,
435,
1691,
505,
385,
14333,
749,
310,
29871,
29955,
29947,
29892,
29955,
29906,
29906,
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... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What game did Jets have an attendance of 78,722?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10768951_1 (
Opponent text,
Date text,
"Game site" text,
Week numeric,
Attendance text,
Resul... | SELECT "Game site" FROM table_2_10768951_1 WHERE "Attendance" ILIKE '%78,722%' |
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13,
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1170,
278,
5802,
775,
396,
363,
12720,
29871,
29896,
29900,
29929,
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,
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-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 production code # for episode 109`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12204717_1 (
"Mixed doubles" text,
Year numeric,
"Womens doubles" text,
"Mens singles" text,
"Womens... | SELECT COUNT("Production code #") FROM table_1_2342078_6 WHERE "Episode #" = '109' |
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29896,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
1... | [
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who does the lap-by-lap in 2011?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10716893_3 (
Year numeric,
"Pit reporters" text,
"Pre-race analyst" text,
"Lap-by-lap" text,
Host text,
"Colo... | SELECT Lap-BY-lap FROM table_1_10716893_3 WHERE "Year" = '2011' |
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5328,
1784,
13994,
526,
727,
363,
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1379,
363,
365,
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3694,
29871,
29896,
29953,
29941,
29955,
29955,
29899,
29929,
29973,
29952,
13,
1... | [
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many figures are there for wheels for LMS numbers 16377-9?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11950720_3 (
"First Class Team" text,
"Batting Style" text,
"Bowling Style" text,
... | SELECT COUNT(Wheels) FROM table_1_15412381_5 WHERE "LMS nos." ILIKE '%16377-9%' |
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13,
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403,
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304,
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278,
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29901,
13,
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16243,
1973,
7200,
1135,
29871,
29900,
29892,
322,
263,
21397,
267,
310,
29871,
29896,
756,
825,
19604,
7687,
4418,
1973,
29973,
29952,
13,
13,
... | [
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
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-100,
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-100,
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-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Failures larger than 0, and a Successes of 1 has what lowest partial failures?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11244302_1 (
Share numeric,
"#" numeric,
"Time slot (EST)" text,
... | SELECT MIN("Partial failures") FROM table_2_13894411_5 WHERE "Failures" > '0' AND "Successes" = '1' |
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9330,
13,
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403,
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2346,
304,
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278,
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1139,
29901,
13,
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8809,
436,
6263,
756,
29871,
29906,
29946,
4095,
1860,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
26... | [
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
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-100,
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-100,
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-100,
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-100,
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-100,
-100,
-100,
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-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 party has 24 governments?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11545282_5 (
Nationality text,
"School/Club Team" text,
"No." text,
Player text,
"Years for Jazz" text,
Positi... | SELECT Party FROM table_2_12660586_2 WHERE "Governments" ILIKE '%24%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
3001,
8158,
363,
278,
29871,
29941,
29953,
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2186,
29879,
1741,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 total score for the 36 arrow finals event?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_16610023_1 (
Nation text,
Games text,
Date text,
Event text,
Name text,
Score numeric
)... | SELECT COUNT(Score) FROM table_2_16610023_1 WHERE "Event" ILIKE '%36%arrow%finals%' |
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1,
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13,
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403,
263,
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304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
278,
5906,
310,
15354,
363,
278,
14743,
9850,
414,
22401,
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 margin of victory for the tournament travelers championship?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1166023_1 (
Number text,
"TMS Number" text,
"Year built" numeric,
Build... | SELECT "Margin of victory" FROM table_2_11949127_2 WHERE "Tournament" ILIKE '%travelers%championship%' |
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13,
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403,
263,
3758,
2346,
304,
1234,
278,
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1139,
29901,
13,
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5618,
4234,
338,
3739,
7927,
2546,
515,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
2566,
411,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
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-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What country is Paul Lawrie from?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10935548_1 (
"No. in season" numeric,
"Original air date" text,
"U.S. viewers (millions)" text,
Title text,
"... | SELECT Country FROM table_2_18027810_3 WHERE "Player" ILIKE '%paul%lawrie%' |
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2346,
304,
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278,
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29901,
13,
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5618,
471,
278,
2186,
1353,
363,
278,
15613,
12012,
9945,
411,
4702,
28352,
29899,
1785,
29920,
29892,
322,
263,
11369,
310,
298,
1698,
264,
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... | [
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-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
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-100,
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-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 number for the winning manufacturer with Mercedes-benz, and a circuit of hockenheimring?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_12563443_2 (
Date text,
Round numeric,... | SELECT COUNT(Round) FROM table_2_12563443_2 WHERE "Winning manufacturer" ILIKE '%mercedes-benz%' AND "Circuit" ILIKE '%hockenheimring%' |
[
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9330,
13,
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263,
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2346,
304,
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1494,
1139,
29901,
13,
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11921,
338,
278,
4423,
310,
278,
1302,
19977,
6082,
16083,
12755,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
10... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
-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:
`Where is the location of the coimbatore medical college?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_11184686_1 (
Affiliation text,
District text,
Location text,
Estd text,
"College Name"... | SELECT LOCATION FROM table_2_11184686_1 WHERE "College Name" ILIKE '%coimbatore%medical%college%' |
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1,
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9330,
13,
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403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
6650,
756,
263,
16466,
7621,
1135,
29871,
29941,
29900,
322,
263,
14990,
3109,
1135,
29871,
29896,
29900,
29955,
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:
`What Gold has a Silver greater than 30 and a Total less than 107?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11630008_3 (
"Directed by" text,
"Series no." numeric,
"Written by" text,
"Pro... | SELECT Gold FROM table_2_12771081_1 WHERE "Silver" > '30' AND "Total" < '107' |
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1,
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9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
10401,
1399,
713,
25332,
29892,
1399,
3857,
338,
278,
4423,
825,
338,
278,
12666,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
157... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 indianapolis, indiana is the location what is the institution?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1140067_2 (
"Fastest Lap" text,
"Pole Position" text,
Race text,
"Race Winne... | SELECT Institution FROM table_1_28211213_2 WHERE "Location" ILIKE '%Indianapolis,%Indiana%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
797,
278,
22036,
13225,
338,
278,
6375,
2602,
7968,
1135,
29871,
29953,
29889,
29900,
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,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
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-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 the Champions league is the forward position smaller than 6.0`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12086015_7 (
Finals numeric,
"Win-Loss" text,
"Year(s)" text,
Nationality text
... | SELECT COUNT("Champions League") FROM table_1_17505751_5 WHERE "Position" ILIKE '%Forward%' AND "League" < '6.0' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
15970,
338,
278,
278,
30081,
17675,
2710,
30081,
2541,
30081,
344,
7040,
322,
281,
16697,
30081,
915,
292,
4259,
29871,
29896,
29892,
29871,
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,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
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-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 is the the judges with seasons and winners being season 1, 2013–2014: upcoming season`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10701133_1 (
"Original air date" text,
"No. in season" n... | SELECT Judges FROM table_1_13779832_1 WHERE "Seasons and winners" ILIKE '%Season%1,%2013–2014:%Upcoming%season%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
364,
3885,
1258,
5826,
698,
748,
363,
278,
624,
20995,
10118,
29901,
1383,
314,
20821,
7186,
29889,
22866,
29920,
1993,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-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 rounds did Brett go for the Strikeforce: Shamrock vs. Diaz match?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11111116_8 (
"No. in series" numeric,
"Directed by" text,
"U.S. viewer... | SELECT Round FROM table_2_17624351_2 WHERE "Event" ILIKE '%strikeforce:%shamrock%vs.%diaz%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
4259,
12720,
338,
10624,
491,
28551,
407,
8383,
29881,
2806,
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:
`What season episode is directed by Skipp Sudduth?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12338595_1 (
Interview text,
Average text,
Preliminaries text,
Swimsuit text,
State text,
"E... | SELECT "Season #" FROM table_1_17356205_1 WHERE "Directed by" ILIKE '%Skipp%Sudduth%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
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29901,
13,
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29928,
3864,
278,
29427,
310,
4794,
11496,
383,
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824,
2368,
29914,
3904,
29907,
5098,
5977,
22401,
29892,
825,
338,
278,
1528,
280,
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:
`During the Tournament of Torneo Fraternidad/UNCAF Club championship, what is the Role of the Platense Municipal Zacatecoluca Team?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11963601_11 (
"H... | SELECT ROLE FROM table_2_12825146_1 WHERE "Team" ILIKE '%platense%municipal%zacatecoluca%' AND "Tournament" ILIKE '%torneo%fraternidad/uncaf%club%championship%' |
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29892,
29900,
29953,
29906,
2305,
297,
14333,
749,
29973,
29952,
13,
13,
2277,
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1,
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1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the date of the game with 38,062 people in attendance?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11465521_2 (
TV text,
Result text,
Opponent text,
"Kickoff [a ]" text,
Week text... | SELECT Date FROM table_2_13974494_9 WHERE "Attendance" ILIKE '%38,062%' |
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286,
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29952,
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29937,
5470,
1102,
2603,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who is the person that has 119.5 m?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_14407512_17 (
Rank numeric,
"1st (m)" numeric,
"Overall WC points (Rank)" text,
Nationality text,
Name text... | SELECT Name FROM table_2_14407512_17 WHERE "1st (m)" = '119.5' |
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601,
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29937,
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1102,
2603,
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2346,
674,
106... | [
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1,
1,
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1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`what is the party for district ohio 11?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12113818_1 (
Year text,
"External Affairs" text,
"Human Resources & Operations" text,
"Local Affairs" te... | SELECT Party FROM table_1_1341598_36 WHERE "District" ILIKE '%Ohio%11%' |
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3525,
1784,
13926,
526,
363,
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4259,
310,
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29900,
29947,
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,
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-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`how many sections are for the season of 2008`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_29697744_1 (
Level text,
Season text,
Division text,
Position text,
Movements text,
Section text
... | SELECT COUNT(SECTION) FROM table_1_29697744_1 WHERE "Season" ILIKE '%2008%' |
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432,
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2603,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What years was the jersey number(s) smaller than 3?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1214035_1 (
Division text,
"Open Cup" text,
Year numeric,
League text,
Playoffs text,
"Reg... | SELECT Years FROM table_2_16772687_7 WHERE "Jersey Number(s)" < '3' |
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13,
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3758,
2346,
304,
1234,
278,
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1139,
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13,
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5618,
338,
278,
4665,
9027,
363,
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29906,
29900,
29896,
29906,
363,
402,
271,
8917,
17535,
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... | [
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-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 population density for 2012 for Gatunda sector?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11891841_2 (
"Transfer window" text,
Ends numeric,
Source text,
"Transfer fee" text,... | SELECT MIN("Population Density 2012 (km 2 )") FROM table_1_12496904_1 WHERE "Sector" ILIKE '%Gatunda%' |
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310,
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381,
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29952,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
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-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 date of appointment for the manager replacing Kadir Özcan?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12125069_2 (
Date text,
"Losing Pitcher" text,
"Winning Team" text,
"Win... | SELECT "Date of appointment" FROM table_1_27091128_2 WHERE "Outgoing manager" ILIKE '%Kadir%Özcan%' |
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13,
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2346,
304,
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278,
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1139,
29901,
13,
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1170,
278,
1556,
411,
19811,
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363,
29871,
29941,
29955,
301,
710,
694,
17580,
13,
13,
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29937,
5470,
1102,
2603,
13,
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2346,
674,... | [
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the most withdrawn for 37 lstr no.`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10812938_5 (
College text,
Player text,
Position text,
"Pick #" numeric,
"CFL Team" text
);
CREATE TABL... | SELECT MAX(Withdrawn) FROM table_1_20391799_1 WHERE "LTSR No." = '37' |
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1,
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9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
8455,
756,
4956,
22163,
408,
15315,
29973,
29952,
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13,
2277,
29937,
5470,
1102,
2603,
13,
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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,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which manager has Sol Campbell as captain?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11207040_5 (
Highest numeric,
Average numeric,
Stadium text,
Capacity numeric,
Lowest numeric
);
CRE... | SELECT Manager FROM table_2_10592536_6 WHERE "Captain" ILIKE '%sol%campbell%' |
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9330,
13,
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263,
3758,
2346,
304,
1234,
278,
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29915,
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1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who played in the men's singles during the tournament where Ragna Ingolfsdottir played in the women's singles?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10360656_1 (
Round numeric,
Choice ... | SELECT "Men's singles" FROM table_2_12185856_1 WHERE "Women's singles" ILIKE '%ragna%ingolfsdottir%' |
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11921,
1258,
263,
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313,
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29900,
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6877,
29952,
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5470,
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1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
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1,
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1,
1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Where did a home team score 15.14 (104)?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10826385_4 (
Venue text,
Crowd numeric,
"Away team score" text,
"Home team" text,
"Away team" text,
"... | SELECT Venue FROM table_2_10826385_4 WHERE "Home team score" ILIKE '%15.14%(104)%' |
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9957,
310,
323,
2212,
271,
29926,
29973,
29952,
13,
13,
2277,
29937,
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1,
1,
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1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which of the R. Epp, has J Thiessen of Tjoatj?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11178271_1 (
"18–49 (Rating/Share)" text,
Rating text,
Episode text,
"Air Date" text,
Share nume... | SELECT "R. Epp" FROM table_2_181498_13 WHERE "J. Thiessen" ILIKE '%tjoatj%' |
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278,
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550,
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29900,
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29953,
29906,
29892,
1058,
750,
278,
5057,
40... | [
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`If the location attendance was Quicken Loans Arena 20,562, who had the High Assists?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11465521_2 (
Week text,
TV text,
"Kickoff [a ]" text,
Resul... | SELECT "High assists" FROM table_1_27700375_6 WHERE "Location Attendance" ILIKE '%Quicken%Loans%Arena%20,562%' |
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29947,
29955,
322,
7115,
338,
901,
1135,
29871,
29955,
29973,
... | [
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1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
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1... | [
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-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 sites when the number of screens is 687 and rank is more than 7?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11662133_3 (
"Date entered service" text,
"Type of Ship" te... | SELECT AVG(Sites) FROM table_2_13274048_1 WHERE "Screens" = '687' AND "Rank" > '7' |
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338,
278,
564,
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297,
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2753,
267,
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29952,
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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... | [
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-100,
-100,
-100,
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-100,
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-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 arena in Borgarnes?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1132588_3 (
Constructor text,
Report text,
"Grand Prix" text,
"Pole Position" text,
"Fastest Lap" text,
"Winni... | SELECT Arena FROM table_2_13566745_1 WHERE "City, Region" ILIKE '%borgarnes%' |
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29952,
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13,
2277,
29937,
5470,
1102,
2603,
13,
1576,... | [
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1,
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1,
1,
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1,
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1,
1,
1... | [
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-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 smallest crowd size at a home game for Footscray?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10747009_15 (
"Home team" text,
Venue text,
Crowd numeric,
"Home team score" text... | SELECT MIN(Crowd) FROM table_2_10747009_15 WHERE "Home team" ILIKE '%footscray%' |
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304,
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278,
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471,
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472,
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471,
7200,
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29871,
29896,
29946,
29892,
278,
7663,
471,
29871,
29896,
29892,
... | [
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
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-100,
-100,
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-100,
-100,
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-100,
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-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 leader at the summit when the stage was larger than 14, the category was 1, the start was Saint-Girons, and the finish was Cauterets?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12... | SELECT "Leader at the summit" FROM table_2_12179265_1 WHERE "Stage" > '14' AND "Category" = '1' AND "Start" ILIKE '%saint-girons%' AND "Finish" ILIKE '%cauterets%' |
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436,
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750,
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1230,
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29995,
322,
29453,
310,
29871,
29941,
29946,
29995,
29973,
29952,
1... | [
1,
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1,
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1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which date released had a Democratic Alternative value of 1% and Labour of 34%?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1140090_6 (
Date text,
"Winning driver" text,
"Race Name" text,
... | SELECT "Date(s) Released" FROM table_2_18801491_1 WHERE "Democratic Alternative" ILIKE '%1%%' AND "Labour" ILIKE '%34%%' |
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611,
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29937,
5470,
1102,
2603,
13,
1576,
2346,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`In 2004 who was favourite maa?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11691212_2 (
Host text,
"Lap-by-lap" text,
Viewers text,
"Color commentator(s)" text,
Network text,
Ratings tex... | SELECT CHARACTER FROM table_2_11097204_4 WHERE "Category" ILIKE '%favourite%maa%' AND "Year" = '2004' |
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1,
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304,
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29915,
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278,
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29937,
5470,
1102,
2603,
13,
1576,
2346,
67... | [
1,
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1,
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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-100,
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-100,
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-100,
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-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 maximum crowd when scg is the ground?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1214035_1 (
"Regular Season" text,
Division text,
Year numeric,
Playoffs text,
"Open Cup" text... | SELECT MAX(Crowd) FROM table_1_14312471_4 WHERE "Ground" ILIKE '%SCG%' |
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1,
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9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
24211,
756,
263,
498,
1295,
3250,
310,
29871,
30710,
233,
158,
159,
30325,
286,
554,
8631,
30099,
5365,
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:
`Which Saturday has a Thursday of 木曜日 mokuyōbi`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_1277350_4 (
Tuesday text,
Wednesday text,
Sunday text,
Friday text,
Monday text,
Thursday text,
... | SELECT Saturday FROM table_2_1277350_4 WHERE "Thursday" ILIKE '%木曜日%mokuyōbi%' |
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1,
835,
9330,
13,
5631,
403,
263,
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2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
3064,
471,
2524,
29895,
286,
29889,
1067,
935,
278,
5528,
3774,
296,
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:
`How many times was frank m. clark the incumbent?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1341865_40 (
Incumbent text,
Party text,
Result text,
Candidates text,
"First elected" numeric... | SELECT COUNT(RESULT) FROM table_1_1341865_40 WHERE "Incumbent" ILIKE '%Frank%M.%Clark%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
278,
8341,
267,
746,
3291,
338,
901,
1135,
29871,
29941,
29941,
29955,
322,
8665,
338,
901,
1135,
29871,
29906,
29953,
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-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 finishes when points is more than 337 and starts is more than 26?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10284385_1 (
"Date of birth" text,
"End Date" text,
Party text,
"H... | SELECT SUM(Finishes) FROM table_2_18812209_20 WHERE "Points" > '337' AND "Starts" > '26' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
8583,
29871,
29906,
29892,
746,
29871,
29906,
299,
5682,
338,
29871,
29906,
29899,
29896,
29973,
29952,
13,
13,
2277,
29937,
5470,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 Team 2, when 2nd Leg is 2-1?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10413597_5 (
"U.S. viewers (million)" text,
"Written by" text,
Title text,
Setting text,
"Original air dat... | SELECT "Team 2" FROM table_2_16218498_1 WHERE "2nd leg" ILIKE '%2-1%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
3448,
3815,
8158,
472,
17311,
29891,
9143,
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:
`What was the away team score at Windy Hill?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1057316_1 (
"Wheel arrangement ( Whyte notation )" text,
"Serial number" text,
"Operational owner(s)"... | SELECT "Away team score" FROM table_2_1164217_9 WHERE "Venue" ILIKE '%windy%hill%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
7182,
3081,
363,
435,
29949,
2882,
29899,
29928,
8050,
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 signal power for JOAB-DTV?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12148018_2 (
"Original airdate" text,
Writer text,
Episode text,
"#" numeric,
Director text,
Viewers te... | SELECT "Signal power" FROM table_1_2638104_1 WHERE "Callsign" ILIKE '%JOAB-DTV%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
364,
860,
347,
21614,
677,
29915,
29879,
1353,
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,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-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 rickie winslow's number?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11240028_1 (
"First appearance" text,
Episodes text,
"Last appearance" text,
Character text,
Duration text,
... | SELECT MAX(#) FROM table_1_22496374_1 WHERE "Name" ILIKE '%Rickie%Winslow%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
14333,
749,
472,
278,
3748,
988,
29334,
365,
2205,
29875,
538,
471,
2315,
310,
278,
14514,
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,
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-100,
-100,
-100,
-100,
-100,
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-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 attendance at the game where Neil Liddiard was Man of the Match?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1139835_3 (
"Season Result" text,
"Grand Finalist" text,
Year numer... | SELECT MIN(Attendance) FROM table_1_17120964_8 WHERE "Man of the Match" ILIKE '%Neil%Liddiard%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
2381,
326,
29658,
1353,
746,
278,
758,
2576,
3821,
338,
29871,
29947,
29889,
29955,
29906,
29896,
29892,
322,
278,
6588,
338,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 swimsuit number when the preliminary is 8.721, and the average is more than 8.781?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11545282_5 (
Position text,
Player text,
"School/C... | SELECT COUNT(Swimsuit) FROM table_2_17521433_1 WHERE "Preliminary" = '8.721' AND "Average" > '8.781' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
2951,
5533,
29871,
29896,
29892,
29871,
29896,
29929,
29929,
29945,
411,
360,
2207,
27467,
20548,
4273,
408,
263,
18096,
29892,
825,
471,
278,
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:
`On October 1, 1995 with Dora Djilianova as a partner, what was the outcome of the match?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10932739_2 (
"Radial velocity (m/s)" text,
"Orbital Perio... | SELECT Outcome FROM table_2_12878201_8 WHERE "Partner" ILIKE '%dora%djilianova%' AND "Date" ILIKE '%october%1,%1995%' |
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1,
835,
9330,
13,
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403,
263,
3758,
2346,
304,
1234,
278,
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13,
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5618,
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278,
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310,
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310,
29871,
29955,
29901,
29941,
29900,
29889,
29929,
29906,
29973,
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 the Rank of the Rowers with a Time of 7:30.92?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11964047_6 (
Home text,
"#" numeric,
Date text,
"Leading scorer" text,
Visitor text,
At... | SELECT SUM(Rank) FROM table_2_18662704_6 WHERE "Time" ILIKE '%7:30.92%' |
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13,
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2346,
304,
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29901,
13,
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5618,
471,
278,
1121,
746,
278,
14333,
749,
471,
29871,
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29953,
29892,
29946,
29945,
29953,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,... | [
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
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1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the result when the attendance was 46,456?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_16323350_2 (
Attendance text,
"TV Time" text,
Opponent text,
"Game site" text,
Week numeric... | SELECT RESULT FROM table_2_16323350_2 WHERE "Attendance" ILIKE '%46,456%' |
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278,
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29952,
13,
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29937,
5470,
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2603,
13,
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2346,
674,
... | [
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1,
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1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is 1996 during the US Open?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12262182_2 (
Date text,
Opponent text,
Result text,
Number numeric,
Name text,
Titles text,
Defenses numeric... | SELECT 1996 FROM table_2_1849753_5 WHERE "Tournament" ILIKE '%us%open%' |
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413,
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364,
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313,
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29897,
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29914,
29926,
348,
1611,
29914,
29066,
3815,
29973,
29952,
13,
... | [
1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
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1,
1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which nationality is kitchener rangers (ohl) college/junior/club team?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11167610_1 (
Power text,
Transmission text,
Performance text,
Torque text... | SELECT Nationality FROM table_1_21721351_18 WHERE "College/junior/club team" ILIKE '%Kitchener%Rangers%(OHL)%' |
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2603,
13,
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674,
1065,
373,
263,
... | [
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which nationality is player Brian Wilks?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11677691_10 (
Hometown text,
Position text,
School text,
College text
);
CREATE TABLE table_1_21721351_... | SELECT Nationality FROM table_1_21721351_18 WHERE "Player" ILIKE '%Brian%Wilks%' |
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363,
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322,
1629,
310,
29871,
29896,
29929,
29929,
29945,
29899,
29929,
29953,
29952,
13,
1... | [
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the flagship station for cedric maxwell and year of 1995-96`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12584173_1 (
"Population (Warwick)" numeric,
"Population (Region total)" numeric,... | SELECT "Flagship Station" FROM table_2_14902507_9 WHERE "Color commentator(s)" ILIKE '%cedric%maxwell%' AND "Year" ILIKE '%1995-96%' |
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304,
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278,
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278,
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393,
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29879,
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263,
7849,
24674,
446,
17088,
310,
1060,
29882,
3628,
29892,
263,
15484,
310,
346... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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-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 lowest Code that's got a Most Spoke Language of Xhosa, a Place of Addo Elephant National Park, and an Area (KM 2) that's smaller than 1.08?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table... | SELECT MIN(Code) FROM table_2_14523321_1 WHERE "Most spoken language" ILIKE '%xhosa%' AND "Place" ILIKE '%addo%elephant%national%park%' AND "Area (km 2 )" < '1.08' |
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1,
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13,
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304,
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2113,
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393,
727,
471,
694,
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297,
278,
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29915,
29879,
27641,
322,
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678,
271,
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1,
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1,
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1,
1,
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1,
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who won the Women's doubles the year that there was no competition in the Men's doubles and Arthur Chatschatourow won the Men's singles?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10477224_1 ... | SELECT "Women's doubles" FROM table_2_14903785_1 WHERE "Men's doubles" ILIKE '%no%competition%' AND "Men's singles" ILIKE '%arthur%chatschatourow%' |
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1,
835,
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13,
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304,
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278,
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29901,
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2951,
825,
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22103,
1708,
408,
278,
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29952,
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2603,
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674,
1065,
373,... | [
1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1... | [
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-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 did Melbourne play as the home team?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1036189_1 (
"Primer Annulus Color" text,
"Bullet Tip Color" text,
"Other Features" text,
"Head... | SELECT Date FROM table_2_10807253_15 WHERE "Home team" ILIKE '%melbourne%' |
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1,
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9330,
13,
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3758,
2346,
304,
1234,
278,
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1139,
29901,
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29902,
864,
304,
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278,
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1102,
2603,
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2346,
... | [
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`I want to know the opponent that ha a week of 3`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11206787_5 (
Highest numeric,
Stadium text,
Lowest numeric,
Average numeric,
Capacity numeric,
... | SELECT Opponent FROM table_2_10996372_1 WHERE "Week" ILIKE '%3%' |
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29952,
... | [
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1,
1,
1,
1,
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1,
1,
1,
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-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 Feb value having an opponent of the Philadelphia Flyers and is after game 63?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_14034807_7 (
Record text,
Game numeric,
Score t... | SELECT MAX(February) FROM table_2_14034807_7 WHERE "Opponent" ILIKE '%philadelphia%flyers%' AND "Game" > '63' |
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2346,
304,
1234,
278,
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1139,
29901,
13,
29952,
25039,
1299,
399,
3289,
6093,
317,
4574,
29943,
11538,
14861,
2287,
8079,
17980,
6093,
6418,
29925,
1164,
3919,
399,
3289,
402,
29923,
1955,
169... | [
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1,
1,
1,
1,
1,
1,
1,
1,
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1,
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1... | [
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-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 SURFACE MADE OF WHEN THE OPPONENT WAS GEORGE KHRIKADZE?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10007452_3 (
"Order Year" text,
Manufacturer text,
"Fleet Series (Quantity)"... | SELECT Surface FROM table_1_16741821_8 WHERE "Opponent" ILIKE '%George%Khrikadze%' |
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360,
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29896,
30562,
310,
364,
29871,
29906,
29900,
29952,
13,
13,... | [
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1,
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1,
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1,
1,
1,
1,
1,
1,
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1,
1,
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1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the D 45 √ when it has D 41√ of r 20`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_1177289_3 (
"D 46 √" text,
"D 47 √" text,
"D 45 √" text,
"D 42 √" text,
"D 48 √" text,
"D 41 √" text... | SELECT "D 45 √" FROM table_2_1177289_3 WHERE "D 41 √" ILIKE '%r%20%' |
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527,
412,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
23... | [
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1,
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1,
1,
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1,
1,
1,
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1,
1,
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which stage has a Winner of lucien van impe?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11753080_2 (
"Air Date" text,
"#" numeric,
Rating text,
Viewers text,
Timeslot text,
Episode text... | SELECT Stage FROM table_2_11303288_2 WHERE "Winner" ILIKE '%lucien%van%impe%' |
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5470,
1102,
2603,
13,
1576,
2346,
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1065,
373,
26... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which team beat the Newcastle Breakers?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_12028543_3 (
LosingTeam text,
"Cup FinalDate" text,
Season text,
WinningTeam text,
Score text,
"Cup Fi... | SELECT WinningTeam FROM table_2_12028543_3 WHERE "LosingTeam" ILIKE '%newcastle%breakers%' |
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1135,
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322,
491,
267,
526,
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1135,
29871,
29900,
... | [
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-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 wins when draws are larger than 1, and byes are larger than 0?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11603006_1 (
Date text,
"1st Prize( $ )" numeric,
"P... | SELECT MAX(Wins) FROM table_2_18628904_21 WHERE "Draws" > '1' AND "Byes" > '0' |
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304,
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7200,
1135,
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29941,
29906,
29892,
338,
263,
4847,
310,
724,
2603,
423,
289,... | [
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
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1,
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1,
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1,
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1,
1... | [
-100,
-100,
-100,
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-100,
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-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 average number of tries that has a start larger than 32, is a player of seremaia bai that also has a conversion score larger than 47?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11... | SELECT AVG(Tries) FROM table_2_1074616_7 WHERE "Start" > '32' AND "Player" ILIKE '%seremaia%bai%' AND "Conv" > '47' |
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1,
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13,
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304,
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278,
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13,
13,
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1102,
2603,
13,
1576,
2346,
674,
1065,
... | [
1,
1,
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1,
1,
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1,
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1,
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1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which school has a mascot of the Panthers?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11274401_3 (
"18–49 (Rating/Share)" text,
Timeslot text,
"Viewers (m)" text,
Share text,
"Rank (#)" ... | SELECT School FROM table_2_18942405_12 WHERE "Mascot" ILIKE '%panthers%' |
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