input_ids list | attention_mask list | labels list | prompt stringlengths 528 1.77k | completion stringlengths 40 173 |
|---|---|---|---|---|
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-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the Score with a Team that is @ portland?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1011906_1 (
"Seat of RCM" text,
"Population Canada 2011 Census" numeric,
"Regional County Munic... | SELECT Score FROM table_2_15873014_5 WHERE "Team" ILIKE '%@%portland%' |
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who is the chairman when the current manager is bob peeters?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_120778_1 (
"Percent For" text,
"Against Prohibition" numeric,
Jurisdiction text,
"F... | SELECT Chairman FROM table_1_27374004_2 WHERE "Current manager" ILIKE '%Bob%Peeters%' |
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6... | [
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-100,
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-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the share value of the episode "sins of the father"`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_24910742_2 (
"#" numeric,
Share numeric,
"Timeslot (EST)" text,
Rating text,
Episod... | SELECT MAX(SHARE) FROM table_1_24910742_2 WHERE "Episode" ILIKE '%"Sins%of%the%Father"%' |
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... | [
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-100,
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-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Loss of kendrick (11–8) had what record?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11630008_5 (
"Production code" numeric,
"Written by" text,
"Original air date" text,
"Series #" numeric... | SELECT Record FROM table_2_13810690_10 WHERE "Loss" ILIKE '%kendrick%(11–8)%' |
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1... | [
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What single(s) released in 2008 and had 4000 copies?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10718192_2 (
Title text,
"Written by" text,
"Directed by" text,
"No. in season" numeric,
"... | SELECT Single FROM table_1_18710512_3 WHERE "Date" = '2008' AND "Other details" ILIKE '%4000%copies%' |
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the season total number if the primary (South) winners is Ridings High 'A'?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_23014923_1 (
"Minor (South) Winners" text,
Season text,
"Juni... | SELECT COUNT(Season) FROM table_1_23014923_1 WHERE "Primary (South) Winners" ILIKE '%Ridings%High%'A'%' |
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-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Resident Country, when Local Location is "Copenhagen"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11570261_6 (
"Top 25" numeric,
"3rd" numeric,
"Wins (Majors)" text,
Starts numeri... | SELECT "Resident Country" FROM table_2_17915983_2 WHERE "Local Location" ILIKE '%copenhagen%' |
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-100,
-100,
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Generate a SQL query to answer the following question:
`Who were the rowers for Great britain?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18662697_4 (
Notes text,
Rowers text,
Rank numeric,
Country text,
Time text
);
CREATE TABLE table_1_1165... | SELECT Rowers FROM table_2_18662697_4 WHERE "Country" ILIKE '%great%britain%' |
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-100,
-100,
-100,
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Generate a SQL query to answer the following question:
`Which Location has a Year Joined of 1966, and a Previous Conference of noble county, and a School of wawaka?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11950720_4 (
"Date of Birth" text,
"N... | SELECT LOCATION FROM table_2_18896680_2 WHERE "Year Joined" = '1966' AND "Previous Conference" ILIKE '%noble%county%' AND "School" ILIKE '%wawaka%' |
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-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the date for the 10b serial?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17608945_1 (
"Time ( GMT )" text,
Date text,
Serial text,
Apogee text,
Outcome text
);
CREATE TABLE table_... | SELECT Date FROM table_2_17608945_1 WHERE "Serial" ILIKE '%10b%' |
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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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which player was drafted by the Saskatchewan Roughriders?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1245148_1 (
"Track Name" text,
"Year Opened" numeric,
"Year Acquired [A ]" numeric,
Lo... | SELECT Player FROM table_2_15817998_3 WHERE "CFL Team" ILIKE '%saskatchewan%roughriders%' |
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29953,
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29871,
29953,
29994,
29946,
29892,
29871,
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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,
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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 the Opponent with a Score that is 2–6, 6–4, 3–6?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11381701_3 (
iOS text,
Other text,
Source text,
Android text,
"Symbian / Series 40" te... | SELECT Opponent FROM table_2_15551996_3 WHERE "Score" ILIKE '%2–6,%6–4,%3–6%' |
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29899,
262,
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10653,
310,
607,
2022,
29973,
29952,
13,
13,
2277,
29937,
... | [
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Leopold VI, Duke of Austria is the father-in-law of which person?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10023387_1 (
"Years Played" text,
"Total W-L" text,
"Singles W-L" text,
Player... | SELECT Spouse FROM table_2_10870631_3 WHERE "Father" ILIKE '%leopold%vi,%duke%of%austria%' |
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5470,
1102,
2603,
13,
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2346,
674,
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373,
263,
... | [
1,
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1,
1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
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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,
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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:
`Who had to retire due to suspension?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10160447_1 (
Series text,
Position numeric,
Winnings text,
Points numeric
);
CREATE TABLE table_1_12284476_... | SELECT Driver FROM table_2_1122913_2 WHERE "Time/Retired" ILIKE '%suspension%' |
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396,
7968,
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29906,
29941,
322,
263,
8... | [
1,
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1,
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1,
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1,
1,
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1,
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1,
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1,
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1,
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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,
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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:
`Which NHL team has a League from of western hockey league and a Pick # smaller than 23 and a Team from of prince george cougars?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10402018_1 (
"US T... | SELECT "NHL team" FROM table_2_18026409_3 WHERE "League from" ILIKE '%western%hockey%league%' AND "Pick #" < '23' AND "Team from" ILIKE '%prince%george%cougars%' |
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29900,
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29871,
29896,
29929,
29929,
29941,
... | [
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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... | [
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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 opponent in a week below 14 on October 10, 1993?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_16729052_1 (
Date text,
Attendance text,
Week numeric,
Result text,
Opponent text
... | SELECT Opponent FROM table_2_16729052_1 WHERE "Week" < '14' AND "Date" ILIKE '%october%10,%1993%' |
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373,
263,
2566,
411... | [
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1,
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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,
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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:
`How many stations own Bounce TV?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1404984_1 (
"Virtual channel" text,
"Digital channel" text,
"Station Ownership" text,
Network text,
"Analog ch... | SELECT COUNT("Station Ownership") FROM table_1_1404984_1 WHERE "Network" ILIKE '%Bounce%TV%' |
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2603,
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1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
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1,
1,
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:
`Who was the host team at the game at the Cleveland Browns Stadium?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_13193466_14 (
Stadium text,
Date text,
"Host Team" text,
"Visiting Team" text... | SELECT "Host Team" FROM table_2_13193466_14 WHERE "Stadium" ILIKE '%cleveland%browns%stadium%' |
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316,
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29952,
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29937,
5470,
1102,
2603,... | [
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1,
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1,
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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,
1,
1,
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1,
1,
1,
1,
1,
1,
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1... | [
-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:
`Who is the rider where the horse is galan de sauvagere?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10568553_1 (
Notes text,
Milepost text,
"Roads Intersected" text,
"Street Names" text,
... | SELECT Rider FROM table_1_18666752_3 WHERE "Horse" ILIKE '%Galan%De%Sauvagere%' |
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338,
376,
29940,
29367,
5393,
8652,
2995... | [
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... | [
-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 Date, when Round is less than 10, and when Circuit is "Norisring"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11602313_4 (
"Release price ( USD )" text,
"Part number(s)" text,
"Rel... | SELECT Date FROM table_2_17932082_2 WHERE "Round" < '10' AND "Circuit" ILIKE '%norisring%' |
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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,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`On what Date was the Venue Los Angeles?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1137707_2 (
Report text,
"Winning Driver" text,
Location text,
"Pole Position" text,
"Fastest Lap" text... | SELECT Date FROM table_2_1385043_2 WHERE "Venue" ILIKE '%los%angeles%' |
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2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
4971,
666,
756,
263,
18008,
310,
1559,
417,
394,
404,
14907,
503,
8069,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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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:
`Which Skip has a Third of carlo alessandro zisa?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10621256_1 (
"100" numeric,
"High Score" numeric,
Catches numeric,
Average text,
"50" numeric,... | SELECT Skip FROM table_2_15295737_54 WHERE "Third" ILIKE '%carlo%alessandro%zisa%' |
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13,
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304,
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278,
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29901,
13,
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5618,
338,
278,
13436,
310,
9167,
518,
7054,
468,
434,
29962,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the digital of Virgin [analogue]?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11075747_4 (
Title text,
"Written by" text,
"Directed by" text,
"Series #" numeric,
"Episode #" numer... | SELECT Digital FROM table_2_182410_22 WHERE "Provider" ILIKE '%virgin%[analogue]%' |
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1,
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9330,
13,
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2346,
304,
1234,
278,
1494,
1139,
29901,
13,
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5618,
338,
11814,
7370,
29892,
746,
4408,
338,
15512,
7668,
29879,
29871,
29896,
29929,
29941,
29929,
448,
29871,
29896,
29929,
29946,
29941,
2997... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Term Start, when Name is Prime Ministers 1939 - 1943?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1231892_4 (
"Villain/s" text,
"U.S. Air Date" text,
Title text,
"Number in series"... | SELECT "Term start" FROM table_2_167235_5 WHERE "Name" ILIKE '%prime%ministers%1939%-%1943%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
3001,
1353,
310,
365,
2209,
267,
393,
6286,
880,
750,
746,
896,
750,
28145,
18492,
29879,
1135,
29871,
29900,
29973,
29952,
13... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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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 is the total number of Losses that Melton had when they had fewer Draws than 0?`
### 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,
... | SELECT SUM(Losses) FROM table_2_1552908_3 WHERE "Ballarat FL" ILIKE '%melton%' AND "Draws" < '0' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
471,
278,
6003,
434,
988,
278,
3271,
3815,
15569,
29871,
29896,
29896,
29889,
29896,
29906,
313,
29955,
29947,
6877,
29952,
13,
13,
2277,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What was the venue where the home team scored 11.12 (78)?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12338595_1 (
Swimsuit text,
Interview text,
"Evening Gown" text,
State text,
Prelimin... | SELECT Venue FROM table_2_10774891_10 WHERE "Home team score" ILIKE '%11.12%(78)%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
22110,
338,
278,
23995,
296,
310,
3748,
29871,
29955,
29945,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who is the opponent of game 75?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17323283_7 (
Opponent text,
March numeric,
Record text,
Game numeric,
Score text
);
CREATE TABLE table_1_111485... | SELECT Opponent FROM table_2_17323283_7 WHERE "Game" = '75' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
3086,
537,
29892,
746,
21595,
338,
3109,
1135,
29871,
29906,
29892,
322,
746,
23868,
338,
376,
29906,
29946,
8652,
29952,
13,
13,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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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,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is Nationality, when Round is less than 2, and when Pick is "24"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1140111_5 (
Report text,
Date text,
"Race Name" text,
"Winning driver" te... | SELECT Nationality FROM table_2_17355628_1 WHERE "Round" < '2' AND "Pick" = '24' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
8809,
436,
12482,
30213,
338,
278,
19604,
697,
393,
756,
263,
20627,
310,
281,
27728,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which Games↑ is the lowest one that has a Position of wlb?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10707142_2 (
Date text,
"Race Name" text,
Rnd text,
Report text,
Circuit text,
"Cit... | SELECT MIN(Games↑) FROM table_2_15257210_4 WHERE "Position" ILIKE '%wlb%' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
9939,
1353,
310,
28495,
363,
28828,
11389,
267,
29892,
746,
278,
4216,
29879,
892,
901,
1135,
29871,
29946,
29973,
29952,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the highest number of losses for Presidente Hayes, when the draws were more than 4?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11326124_3 (
Date text,
Zone text,
Opponent text,
Ro... | SELECT MAX(Losses) FROM table_2_18597302_1 WHERE "Team" ILIKE '%presidente%hayes%' AND "Draws" > '4' |
[
1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
25039,
271,
338,
278,
2630,
3819,
1735,
310,
4067,
1230,
1134,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`WHat is the Valency change of associative type?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10718984_2 (
"Original air date" text,
Title text,
"No. in series" numeric,
"No. in season" nume... | SELECT "Valency change" FROM table_2_10746235_1 WHERE "Type" ILIKE '%associative%' |
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310,
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1,
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1,
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1,
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-100,
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-100,
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-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many Touchdowns have a rec of 10, and an Opponent of oregon state, and an Average smaller than 19.7?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_103084_4 (
"BBC Two total viewing" text,
... | SELECT COUNT("s Touchdown") FROM table_2_14465186_2 WHERE "Rec." = '10' AND "Opponent" ILIKE '%oregon%state%' AND "Average" < '19.7' |
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which Decile has Years of –, and a Gender of coed?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10812938_3 (
"Pick #" numeric,
Position text,
Player text,
"CFL Team" text,
College text
);
... | SELECT Decile FROM table_2_12195931_3 WHERE "Years" ILIKE '%–%' AND "Gender" ILIKE '%coed%' |
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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:
`When pskov is oblast\age what is the result of 18 to 19?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11677100_16 (
Hometown text,
School text,
"MLB Draft" text,
Player text,
Position text... | SELECT "18 to 19" FROM table_1_16457934_2 WHERE "Oblast\Age" ILIKE '%Pskov%' |
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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 best finish when money list rank is n/a, earnings ($) is more than 0 and cuts made is more than 1?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_1697190_2 (
Year numeric,
"Cuts mad... | SELECT "Best finish" FROM table_2_1697190_2 WHERE "Money list rank" ILIKE '%n/a%' AND "Earnings ( $ )" > '0' AND "Cuts made" > '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:
`How many platinum points were awarded for 5th place?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11677691_2 (
Position text,
School text,
Player text,
Hometown text,
College text
);
CREAT... | SELECT MAX("Points awarded (Platinum)") FROM table_1_11254821_2 WHERE "Finishing position" ILIKE '%5th%' |
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2... | [
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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 largest number of people in attendance of the game with a W 14-3 result after week 10?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11961582_7 (
Team text,
"High assists" text,
... | SELECT MAX(Attendance) FROM table_2_15123143_2 WHERE "Result" ILIKE '%w%14-3%' AND "Week" > '10' |
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1102,
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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 main date when the round is third round qualifying?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11562143_1 (
"Original air date" text,
"Written by" text,
"Directed by" text,
"F... | SELECT "Main date" FROM table_1_27973624_1 WHERE "Round" ILIKE '%Third%Round%Qualifying%' |
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1,
1,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the rank of Manuel Cortina Martínez?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10818465_1 (
"Max memory" text,
"GA Date" text,
"Max processors" text,
Model text,
"Processor freq... | SELECT Rank FROM table_2_18646681_6 WHERE "Athletes" ILIKE '%manuel%cortina%martínez%' |
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Which Directed by has an Original air date of april 29, 2000?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1140088_6 (
Report text,
Constructor text,
Circuit text,
Date text,
"Race Name" t... | SELECT "Directed by" FROM table_2_16471432_5 WHERE "Original air date" ILIKE '%april%29,%2000%' |
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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,
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1,
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-100,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What 1957 engine has a Chassis of connaught type b?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10416547_1 (
"Major instrument(s)" text,
Duration text,
Date text,
Lyricist text,
"Lyrics t... | SELECT ENGINE FROM table_2_1233860_1 WHERE "Chassis" ILIKE '%connaught%type%b%' AND "Year" > '1957' |
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310,
28972,
29889,
1092,
29892,
322,
263,
2522,
487,
310,
29871,
29941,
29994,
29896,
29892,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
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-100,
-100,
-100,
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-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,
-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 attendance with a Report of sd.hr, and a Score of 3–1, and a Date of 14 apr 2001?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1057316_1 (
"Serial number" text,
"Operational... | SELECT SUM(Attendance) FROM table_2_10816490_4 WHERE "Report" ILIKE '%sd.hr%' AND "Score" ILIKE '%3–1%' AND "Date" ILIKE '%14%apr%2001%' |
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304,
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29901,
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29952,
22110,
338,
278,
17622,
2810,
29898,
29879,
29897,
1058,
15569,
29871,
29953,
29929,
29896,
10365,
287,
3291,
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,
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1,
1,
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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 athlete(s) who scored 691 adjusted points?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10360823_1 (
Overall numeric,
College text,
Position text,
"Player name" text,
Round nume... | SELECT Athlete FROM table_1_26454128_9 WHERE "Adjusted Points" = '691' |
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5618,
471,
278,
1024,
310,
278,
23995,
296,
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278,
1158,
471,
5812,
313,
2536,
314,
511,
322,
2407,
471,
29871,
29896,
29941,
29994,
29896,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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 name of the opponent when the method was ko (slam), and record was 13–1?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11959669_3 (
"High points" text,
Score text,
"High assists"... | SELECT Opponent FROM table_2_1758339_2 WHERE "Method" ILIKE '%ko%(slam)%' AND "Record" ILIKE '%13–1%' |
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310,
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8034,
1156,
29871,
29896,
29929,
29947,
29906,
29892,
16000,
1078,
263,
6474,
79... | [
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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,
1,
1,
1,
1,
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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:
`Where was the place of birth for the delegate who took office after 1982, delegates a district smaller than 43 and belongs to a Health and Government operations committee?`
### Database Schema
The query will run on a database with the following schema:
`... | SELECT "Place of Birth" FROM table_2_11873520_1 WHERE "Took Office" > '1982' AND "District" < '43' AND "Committee" ILIKE '%health%and%government%operations%' |
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2346,
304,
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1170,
278,
10728,
1974,
411,
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310,
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762,
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9151,
414,
322,
2186,
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310,
29871,
29906,
29941,
29899,
29946,
29945,
29952,... | [
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,
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1,
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,
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1,
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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:
`Name the stadium with host team of san diego chargers and final score of 23-45`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10470082_6 (
Writer text,
Villains text,
"No." numeric,
Storytell... | SELECT Stadium FROM table_2_13193466_20 WHERE "Host Team" ILIKE '%san%diego%chargers%' AND "Final Score" ILIKE '%23-45%' |
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1,
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13,
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2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
... | [
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,
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,
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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 highest number of interceptions?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_19418696_3 (
Attempts numeric,
Interceptions numeric,
Name text,
Touchdowns numeric,
"QB Rating" t... | SELECT MAX(Interceptions) FROM table_1_19418696_3 |
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9330,
13,
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3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
29911,
514,
592,
278,
3081,
746,
278,
4842,
802,
338,
302,
30064,
29885,
313,
27728,
30064,
615,
29897,
5515,
29876,
30064,
29885,
313,
27728,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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:
`Tell me the power when the torque is n·m (lb·ft)/*n·m (lb·ft) @1750`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11240028_1 (
Duration text,
"First appearance" text,
"Last appearance" text,
... | SELECT Power/rpm FROM table_2_1212189_1 WHERE "Torque (Nm)/rpm" ILIKE '%n·m%(lb·ft)/*n·m%(lb·ft)%@1750%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
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1139,
29901,
13,
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29956,
8187,
399,
3289,
6093,
317,
6040,
1692,
399,
1177,
13865,
2672,
6093,
317,
6040,
1692,
5754,
341,
2965,
15715,
6670,
14445,
29933,
3289,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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 WAS THE STAGE WINNER IN THE STAGE WHERE MICHAEL ALBASINI WON THE METAS VOLANTES CLASSIFICATION?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_21804557_18 (
"Team Classification" text,
"Mou... | SELECT "Stage (Winner)" FROM table_1_21804557_18 WHERE "Metas Volantes Classification" ILIKE '%Michael%Albasini%' |
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1,
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9330,
13,
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3758,
2346,
304,
1234,
278,
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29901,
13,
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5618,
338,
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3064,
5095,
7115,
363,
278,
12720,
411,
7200,
1135,
29871,
29906,
29889,
29929,
21700,
29892,
21700,
29914,
13653,
310,
29871,
2... | [
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,
1,
1,
1,
1,
1... | [
-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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the timeslor rank for the episode with larger than 2.9 rating, rating/share of 2.6/8 and rank for the night higher than 5?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10577579_2 (
Enr... | SELECT AVG("Rank (Timeslot)") FROM table_2_1151047_6 WHERE "Rating" > '2.9' AND "Rating/share (18-49)" ILIKE '%2.6/8%' AND "Rank (Night)" > '5' |
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1,
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9330,
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304,
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5328,
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29947,
29973,
421,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,... | [
1,
1,
1,
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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... | [
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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 records for number of viewers is listed for episode number 8? `
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1165048_1 (
"Dudley Tuckey Medal" text,
Captain text,
Season numeric,
Po... | SELECT COUNT("Viewers (millions)") FROM table_1_24689168_5 WHERE "Episode" = '8' |
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674,
1065,
3... | [
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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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Name the qual for year of 1960`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12280396_1 (
County text,
"Elevation (m)" numeric,
"Isolation (km)" numeric,
"Prominence (m)" numeric,
Municipal... | SELECT Qual FROM table_2_1252062_1 WHERE "Year" ILIKE '%1960%' |
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13,
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403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
11921,
471,
278,
1993,
4934,
393,
1833,
287,
29871,
29941,
29901,
29906,
29946,
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:
`Where was the match held that lasted 3:24?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11803648_20 (
"Club team" text,
Overall text,
Player text,
Nationality text,
Position text
);
CREATE... | SELECT LOCATION FROM table_2_17620634_4 WHERE "Time" ILIKE '%3:24%' |
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23238,
411,
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775,
474,
412,
29874,
29941,
29946,
29945,
29874,
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... | [
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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 are the original air date(s) for episodes with production code ipea345a?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1161065_28 (
"Last Year" text,
Venue text,
"Up/Down" text,
Highest... | SELECT "Original Airdate" FROM table_1_2501754_2 WHERE "Prod. Code" ILIKE '%IPEA345A%' |
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338,
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287,
402,
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278,
2245,
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402,
11191,
338,
29871,
29947,
29889,
29946,
29941,
313,
262,
11118,
1080,
6877,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-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 adjusted GDP when the nominal GDP is 8.43 (in billions)?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1610496_3 (
"Population (millions)" text,
"GDP per capita Adjusted ($)" numer... | SELECT "GDP Adjusted ($ billions)" FROM table_1_1610496_3 WHERE "GDP Nominal ($ billions)" ILIKE '%8.43%' |
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13,
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304,
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278,
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13,
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25039,
1299,
8519,
6093,
341,
2190,
29965,
4519,
1783,
4574,
1001,
22659,
29871,
29906,
29946,
365,
3301,
29903,
29892,
5300,
718,
29896,
29889,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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 THE MANUFACTURER WITH 24 LAPS, AND +1.965 TIME/RETIRED?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12226390_2 (
"Directed by" text,
"No. in series" numeric,
"Production code" numer... | SELECT Manufacturer FROM table_2_17063289_3 WHERE "Laps" ILIKE '%24%' AND "Time/Retired" ILIKE '%+1.965%' |
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1,
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9330,
13,
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304,
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278,
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29901,
13,
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29911,
514,
592,
278,
13888,
393,
9559,
373,
29871,
29896,
29946,
432,
1540,
29871,
29906,
29900,
29900,
29947,
29952,
13,
13,
2277,
29937,
5470... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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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:
`Tell me the competition that happened on 14 june 2008`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_1123413_1 (
Venue text,
Score text,
Date text,
Result text,
Competition text
);
CREATE TA... | SELECT Competition FROM table_2_1123413_1 WHERE "Date" ILIKE '%14%june%2008%' |
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13,
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338,
278,
3001,
1353,
310,
2921,
1338,
15569,
393,
756,
901,
1135,
29871,
29946,
29945,
8984,
29879,
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,
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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 total number of Goals scored that has more than 45 Points?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18018214_5 (
Club text,
Position numeric,
Draws numeric,
"Goals conceded"... | SELECT COUNT("Goals scored") FROM table_2_18018214_5 WHERE "Points" > '45' |
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9330,
13,
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3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
27624,
7811,
746,
278,
8905,
338,
29871,
29906,
29900,
29900,
29941,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
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,
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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 is the LLWS when the Year is 2003?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11961582_7 (
"High assists" text,
Date text,
Score text,
"Location Attendance" text,
Team text,
Game n... | SELECT LLWS FROM table_2_13011547_2 WHERE "Year" = '2003' |
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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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5618,
338,
278,
2533,
310,
18449,
746,
13283,
338,
7621,
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29871,
29941,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
23... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What is the sum of bronze when silver is greater than 3?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10642547_3 (
Rank numeric,
Total numeric,
Silver numeric,
Bronze numeric,
Gold numeric... | SELECT SUM(Bronze) FROM table_2_10642547_3 WHERE "Silver" > '3' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
9939,
4559,
2159,
4113,
1531,
287,
373,
5533,
29871,
29896,
29947,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
15... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-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,
-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 highest sample size administered on October 18?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1180228_1 (
"DVD Name" text,
Released text,
"Number of Episodes" numeric,
Duration t... | SELECT MAX("Sample size") FROM table_2_16077776_1 WHERE "Date(s) administered" ILIKE '%october%18%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
22110,
526,
278,
11438,
414,
411,
263,
5974,
310,
29871,
29953,
29901,
29941,
29929,
29889,
29946,
29929,
29973,
29952,
13,
13,
2277,
29937,
547... | [
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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who are the Rowers with a Time of 6:39.49?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10413597_4 (
"Original air date" text,
Title text,
"Written by" text,
Setting text,
"No. in series" ... | SELECT Rowers FROM table_2_18662686_4 WHERE "Time" ILIKE '%6:39.49%' |
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2346,
304,
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278,
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29901,
13,
29952,
5618,
471,
278,
5253,
310,
3001,
2414,
29875,
16485,
746,
395,
29929,
29906,
29945,
29892,
29955,
29946,
29945,
471,
10425,
29973,
29952,
13,
13... | [
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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,
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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,
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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 amount of total receipts when $925,745 was raised?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1140105_6 (
Constructor text,
Date text,
"Winning driver" text,
Circuit text,
R... | SELECT "Total Receipts" FROM table_2_12030247_7 WHERE "Money Raised, 3Q" ILIKE '%$925,745%' |
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29973,
29952,
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29937,
5470,
1102,
2603,
13,
1576,
2346... | [
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1,
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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,
1,
1,
1,
1,
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:
`How many production numbers have a Title of bosko in dutch?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18792938_4 (
Title text,
Director text,
"Release date" text,
"Production Num." numer... | SELECT SUM("Production Num.") FROM table_2_18792938_4 WHERE "Title" ILIKE '%bosko%in%dutch%' |
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411,
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7087,
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322,
901,
1135,
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29896,
4216,
29973,
29952,
13,
13,
2277,
... | [
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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,
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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 club has the most losses with 10 matches played and more than 1 draw?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_12709578_2 (
Matches numeric,
Wins numeric,
Draws numeric,
"Record (... | SELECT MAX(Losses) FROM table_2_12709578_2 WHERE "Matches" = '10' AND "Draws" > '1' |
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5618,
338,
278,
10608,
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22274,
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471,
278,
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29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,... | [
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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,
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,
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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 decision when Buffalo was the visitor?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11404452_1 (
"Writer(s)" text,
"Series #" numeric,
"Original air date" text,
"Episode title" ... | SELECT Decision FROM table_2_17371135_7 WHERE "Visitor" ILIKE '%buffalo%' |
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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,
338,
278,
4523,
29914,
6821,
431,
8583,
411,
263,
4797,
537,
310,
3303,
3900,
363,
826,
1617,
13737,
29880,
7003,
29973,
29952,
13,
13,
... | [
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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... | ### Task
Generate a SQL query to answer the following question:
`What is the School/Club Team with a nationality of United States for Arron Afflalo?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10284385_1 (
"Begin Date" text,
"Age (years, days)" text,
"Ho... | SELECT "School/Club Team" FROM table_2_15621965_1 WHERE "Nationality" ILIKE '%united%states%' AND "Player" ILIKE '%arron%afflalo%' |
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2346,
304,
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22110,
338,
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5741,
11407,
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13034,
29871,
29906,
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29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
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2346,
674,
... | [
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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,
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:
`Who is the Visiting team on december 20?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11391954_3 (
Country text,
Total numeric,
"Marathon (womens)" numeric,
"Half Marathon (womens)" numeric... | SELECT "Visiting team" FROM table_2_12771946_2 WHERE "Date" ILIKE '%december%20%' |
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2346,
304,
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278,
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11921,
471,
278,
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5318,
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278,
1121,
29914,
9264,
471,
2113,
491,
29871,
29955,
29900,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
... | [
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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... | [
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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 was the game played when the result/margin was won by 70?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11207040_6 (
"Outgoing manager" text,
"Date of appointment" text,
"Date of vacanc... | SELECT Venue FROM table_1_24919137_2 WHERE "Result/Margin" ILIKE '%WON%by%70%' |
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835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
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5618,
338,
278,
2441,
2635,
310,
278,
12312,
4799,
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310,
29871,
29906,
29953,
29914,
29900,
29896,
29914,
29896,
29929,
29953,
29929,
29973,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
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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 original date of the repeat air date of 26/01/1969?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10015132_21 (
Nationality text,
Player text,
"School/Club Team" text,
"No." nume... | SELECT Originalairdate FROM table_1_13403120_1 WHERE "Repeatairdate(s)" ILIKE '%26/01/1969%' |
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2346,
304,
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278,
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8809,
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2648,
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515,
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2603,
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674,
1065,
373,
263... | [
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,
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:
`Which college did Dennis Byrd come from?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11803648_21 (
Nationality text,
"Club team" text,
Overall text,
Round numeric,
Position text
);
CREATE... | SELECT College FROM table_1_12165999_1 WHERE "Player" ILIKE '%Dennis%Byrd%' |
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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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338,
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291,
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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:
`What nation is Marion Buisson playing for?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10470082_3 (
"US air date" text,
Director text,
Villains text,
Title text,
"No." numeric,
Writer te... | SELECT Nationality FROM table_2_18569185_3 WHERE "Name" ILIKE '%marion%buisson%' |
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5618,
526,
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27042,
322,
1134,
338,
3896,
294,
952,
4607,
267,
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,
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-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,
-100... | ### Task
Generate a SQL query to answer the following question:
`What are the comments when vendor and type is enterasys switches?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1206114_2 (
Models text,
Implementation text,
"NetFlow Version" text,
"Vendor ... | SELECT Comments FROM table_1_1206114_2 WHERE "Vendor and type" ILIKE '%Enterasys%Switches%' |
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835,
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13,
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403,
263,
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2346,
304,
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278,
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1139,
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13,
29952,
5618,
6003,
434,
756,
330,
29896,
408,
278,
2318,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
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-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,
-100... | ### Task
Generate a SQL query to answer the following question:
`What venue has g1 as the group?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10236830_1 (
"Actors Name" text,
Country text,
Nomination text,
Director text,
"Film Name" text
);
CREATE TABLE... | SELECT Venue FROM table_2_1360997_1 WHERE "Group" ILIKE '%g1%' |
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310,
425,
567,
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364,
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716,
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411,
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29929,
29953,
3291,
29892,
263,
3151,
1353,
1090,
298... | [
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1,
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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,
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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 lowest number of laps for ryan newman with over 96 points, a cur number under 24,`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10781986_1 (
Make text,
Winnings text,
Driver text,... | SELECT MIN(Laps) FROM table_2_10781986_1 WHERE "Points" > '96' AND "Car #" < '24' AND "Driver" ILIKE '%ryan%newman%' |
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5816,
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278,
19604,
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278,
7115,
338,
3109,
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29871,
29906,
322,
18449,
338,
901,
1135,
29871,
29900,
29973,
29952,
13,
13,
22... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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 lowest total when the rank is less than 2 and bronze is more than 0?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1214035_1 (
Year numeric,
Playoffs text,
"Regular Season" text,
... | SELECT MIN(Total) FROM table_2_11273214_3 WHERE "Rank" < '2' AND "Bronze" > '0' |
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471,
278,
8158,
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278,
21230,
5318,
2750,
4842,
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29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
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2346,
674,
1065... | [
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,
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 score when the jazz played against toronto?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_17355716_6 (
"Location Attendance" text,
Team text,
"High points" text,
Score text,
"H... | SELECT Score FROM table_2_17355716_6 WHERE "Team" ILIKE '%toronto%' |
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310,
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363,
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411,
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28495,
322,
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29906,
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3291,
29973,
29952,
13,
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... | [
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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 losses for teams with under 4 losses and under 21 points?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10595672_1 (
"Location/Attendance" text,
"High points" tex... | SELECT AVG(Drawn) FROM table_2_18771190_12 WHERE "Lost" < '4' AND "Points" < '21' |
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13,
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403,
263,
3758,
2346,
304,
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278,
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29901,
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5618,
29915,
29879,
278,
18449,
12807,
2302,
363,
22125,
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29941,
29941,
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278,
13283,
2302,
471,
3109,
1135,
29871,
29906,
322,
278,
30... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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's the bronze medal count for Rank 33 when the silver count was less than 2 and the total was more than 4?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_18395096_1 (
Bronze numeric,
Rank t... | SELECT MAX(Bronze) FROM table_2_18395096_1 WHERE "Silver" < '2' AND "Total" > '4' AND "Rank" ILIKE '%33%' |
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13,
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304,
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278,
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297,
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310,
286,
585,
280,
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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,
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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:
`What is the male incarceration rate of maule?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12303563_2 (
"4th Place" numeric,
"3rd Place" numeric,
Nation text,
"#" numeric,
"Runners-up" num... | SELECT MAX("Incarceration rate Male") FROM table_1_25042332_31 WHERE "Region" ILIKE '%Maule%' |
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9330,
13,
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2346,
304,
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278,
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8809,
436,
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29953,
29906,
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29900,
29889,
29941,
29945,
29900,
29900,
2... | [
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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,
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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 1965 has a 1962 of 0.35000000000000003, and a 1967 smaller than 0.53?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12033013_3 (
"Written by" text,
"No. in season" text,
Title text,
"O... | SELECT MIN(1965) FROM table_2_18940307_7 WHERE "1962" = '0.35000000000000003' AND "1967" < '0.53' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
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5618,
338,
278,
716,
29914,
2457,
292,
29914,
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1024,
363,
910,
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297,
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29952,
13,
13,
2277,
29937,
5470,
1102,
2... | [
1,
1,
1,
1,
1,
1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
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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 new/returning/same network name for This Week in Baseball?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10470082_6 (
"#" numeric,
"US air date" text,
Storyteller text,
Title tex... | SELECT "New/Returning/Same Network" FROM table_1_169766_13 WHERE "Show" ILIKE '%This%Week%in%Baseball%' |
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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... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`who were the "candidate" of South Carolina 6?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_2668243_22 (
Party text,
District text,
Result text,
Candidates text,
Incumbent text,
"First ele... | SELECT Candidates FROM table_1_2668243_22 WHERE "District" ILIKE '%South%Carolina%6%' |
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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,
30081,
22633,
30081,
2541,
30081,
3742,
3774,
296,
30081,
915,
292,
674,
2829,
289,
29889,
9124,
2813,
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,
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-100,
-100,
-100,
-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,
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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 party with incumbent being william b. bankhead`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1342292_2 (
Party text,
"First elected" numeric,
Incumbent text,
Candidates text,
Res... | SELECT Party FROM table_1_1342292_2 WHERE "Incumbent" ILIKE '%William%B.%Bankhead%' |
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835,
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304,
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278,
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1139,
29901,
13,
29952,
22110,
338,
278,
3448,
3815,
393,
5318,
3271,
3815,
10875,
386,
1398,
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,
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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,
-100... | ### Task
Generate a SQL query to answer the following question:
`Who is the away team that played home team Hawthorn?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10869646_20 (
"Home team score" text,
Crowd numeric,
Venue text,
"Away team" text,
Date te... | SELECT "Away team" FROM table_2_10869646_20 WHERE "Home team" ILIKE '%hawthorn%' |
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13,
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3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5816,
338,
278,
6003,
434,
746,
278,
1629,
338,
29871,
29906,
29900,
29900,
29953,
29892,
278,
13888,
338,
408,
713,
8090,
322,
278,
1741,
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... | [
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-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 venue when the year is 2006, the competition is asian games and the event is 400 m?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10812293_4 (
Date text,
"High rebounds" text,
"Lo... | SELECT Venue FROM table_2_18755745_1 WHERE "Year" = '2006' AND "Competition" ILIKE '%asian%games%' AND "Event" ILIKE '%400%m%' |
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1,
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9330,
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2346,
304,
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278,
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1139,
29901,
13,
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5618,
8881,
3796,
411,
838,
21343,
388,
408,
9227,
29973,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065,
373,
263,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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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,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`What director worked with Al Mackay as writer?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11545282_12 (
Player text,
Position text,
"School/Club Team" text,
Nationality text,
"Years for ... | SELECT Director(s) FROM table_2_12181447_1 WHERE "Writer(s)" ILIKE '%al%mackay%' |
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13,
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263,
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2346,
304,
1234,
278,
1494,
1139,
29901,
13,
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25039,
1299,
8519,
6093,
16641,
18783,
22659,
349,
2965,
29968,
8079,
29871,
29955,
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,
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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,
-100... | ### Task
Generate a SQL query to answer the following question:
`WHAT IS THE ROUND WITH PICK OF 7?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11703336_1 (
"Year Released" text,
RAM text,
Predecessors text,
Calculator text,
"Programming Languages" text... | SELECT SUM(Round) FROM table_2_17100961_70 WHERE "Pick" = '7' |
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1,
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9330,
13,
5631,
403,
263,
3758,
2346,
304,
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278,
1494,
1139,
29901,
13,
29952,
5618,
338,
2522,
487,
29892,
746,
15484,
338,
376,
29911,
29896,
8652,
29952,
13,
13,
2277,
29937,
5470,
1102,
2603,
13,
1576,
2346,
674,
1065... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-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:
`What is Score, when Place is "T1"?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11964047_9 (
Record text,
"Leading scorer" text,
Home text,
"#" numeric,
Visitor text,
Date text,
Attendan... | SELECT Score FROM table_2_17290150_5 WHERE "Place" ILIKE '%t1%' |
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1,
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9330,
13,
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403,
263,
3758,
2346,
304,
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278,
1494,
1139,
29901,
13,
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5618,
338,
278,
19604,
25133,
363,
12777,
3300,
7207,
14113,
29892,
8984,
29879,
901,
1135,
29871,
29906,
29896,
29973,
29952,
13,
13,
2277,
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,
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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 lowest Lost for são paulo railway, Points more than 21?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_1140116_5 (
Circuit text,
"Winning driver" text,
"Race Name" text,
Construct... | SELECT MIN(Lost) FROM table_2_15331540_1 WHERE "Team" ILIKE '%são%paulo%railway%' AND "Points" > '21' |
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1,
835,
9330,
13,
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403,
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3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
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5328,
1784,
3291,
1258,
540,
505,
746,
540,
756,
297,
278,
29871,
29941,
29946,
386,
2602,
29973,
421,
13,
13,
2277,
29937,
5470,
1102,
2603,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
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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,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many points did he have when he has in the 34th position? `
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11734041_17 (
Player text,
"School/Club Team/Country" text,
"Years for Rockets" te... | SELECT Points FROM table_1_24998088_1 WHERE "Position" ILIKE '%34th%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5328,
1784,
14591,
639,
16445,
947,
278,
26823,
302,
1028,
29906,
505,
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,
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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:
`How many copies per particle does the protein nsp2 have?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10580575_1 (
"Prim. energy" numeric,
Electricity numeric,
Production numeric,
Capita te... | SELECT "Copies per particle" FROM table_2_140968_1 WHERE "Protein" ILIKE '%nsp2%' |
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1,
835,
9330,
13,
5631,
403,
263,
3758,
2346,
304,
1234,
278,
1494,
1139,
29901,
13,
29952,
5618,
338,
278,
9939,
15569,
297,
278,
29871,
29906,
29900,
29896,
29900,
9755,
408,
713,
5733,
22401,
29973,
29952,
13,
13,
2277,
29937,
5470,
... | [
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,
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,
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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 is the highest scored in the 2010 east asian football championship?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_2_10749310_2 (
Result text,
Competition text,
Date text,
Scored numeric,
... | SELECT MAX(Scored) FROM table_2_10749310_2 WHERE "Competition" ILIKE '%2010%east%asian%football%championship%' |
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`How many bronzes have a Total of 9?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10647639_1 (
"Game site" text,
Date text,
Opponent text,
Week numeric,
Attendance numeric,
Record text,
R... | SELECT SUM(Bronze) FROM table_2_18991964_3 WHERE "Total" = '9' |
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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 womens singles event the year that Jonas Lyduch won?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11793221_4 (
Commander text,
Complement text,
Killed text,
Missing text,
Unit ... | SELECT "Womens singles" FROM table_1_12163387_1 WHERE "Mens singles" ILIKE '%Jonas%Lyduch%' |
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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 To par of the Player with a Score of 73-67-68=208?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_10020178_1 (
"Year of construction" numeric,
"Name of the Lake" text,
"Crest lengt... | SELECT "To par" FROM table_2_17807292_5 WHERE "Score" ILIKE '%73-67-68=208%' |
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-100,
-100,
-100,
-100,
-100,
-100,
-100... | ### Task
Generate a SQL query to answer the following question:
`When 9:47:38 is the time (utc) how many measurements of latitude are there?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_12562214_1 (
"Traction Type" text,
"Date (From)" text,
Location text,... | SELECT COUNT(Latitude) FROM table_1_24192190_1 WHERE "Time (UTC)" ILIKE '%9:47:38%' |
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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:
`Name the number of black knights points for 3 game`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11602313_4 (
Voltage text,
"L2 cache" text,
Frequency text,
"Part number(s)" text,
"Mult." t... | SELECT COUNT("Black Knights points") FROM table_1_21091145_1 WHERE "Game" = '3' |
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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 frequency for 103.7 energy fm dipolog*`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_11240028_1 (
Character text,
"First appearance" text,
"Last appearance" text,
Episodes text,
"P... | SELECT Frequency FROM table_1_27914076_1 WHERE "Branding" ILIKE '%103.7%Energy%FM%Dipolog*%' |
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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 highest number a couple has ranked at?`
### Database Schema
The query will run on a database with the following schema:
```
CREATE TABLE table_1_20424140_3 (
"Rank by average" numeric,
Place numeric,
Average text,
"Total points" numeric,
... | SELECT MAX(Place) FROM table_1_20424140_3 |
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