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spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
How many singers do we have?
0
concert_singer
[ "SELECT count(*) FROM singer" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the total number of singers?
1
concert_singer
[ "SELECT count(*) FROM singer" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show name, country, age for all singers ordered by age from the oldest to the youngest.
2
concert_singer
[ "SELECT name , country , age FROM singer ORDER BY age DESC" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are the names, countries, and ages for every singer in descending order of age?
3
concert_singer
[ "SELECT name , country , age FROM singer ORDER BY age DESC" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID: INT PRIMARY KEY - singer id ...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the average, minimum, and maximum age of all singers from France?
4
concert_singer
[ "SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France'" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the average, minimum, and maximum age for all French singers?
5
concert_singer
[ "SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France'" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show the name and the release year of the song by the youngest singer.
6
concert_singer
[ "SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are the names and release years for all the songs of the youngest singer?
7
concert_singer
[ "SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are all distinct countries where singers above age 20 are from?
8
concert_singer
[ "SELECT DISTINCT country FROM singer WHERE age > 20" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are the different countries with singers above age 20?
9
concert_singer
[ "SELECT DISTINCT country FROM singer WHERE age > 20" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show all countries and the number of singers in each country.
10
concert_singer
[ "SELECT country , count(*) FROM singer GROUP BY country" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
How many singers are from each country?
11
concert_singer
[ "SELECT country , count(*) FROM singer GROUP BY country" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
List all song names by singers above the average age.
12
concert_singer
[ "SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer)" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are all the song names by singers who are older than average?
13
concert_singer
[ "SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer)" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show location and name for all stadiums with a capacity between 5000 and 10000.
14
concert_singer
[ "SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are the locations and names of all stations with capacity between 5000 and 10000?
15
concert_singer
[ "SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the maximum capacity and the average of all stadiums ?
16
concert_singer
[ "select max(capacity), average from stadium" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the average and maximum capacities for all stadiums ?
17
concert_singer
[ "select avg(capacity) , max(capacity) from stadium" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the name and capacity for the stadium with highest average attendance?
18
concert_singer
[ "SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the name and capacity for the stadium with the highest average attendance?
19
concert_singer
[ "SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
How many concerts are there in year 2014 or 2015?
20
concert_singer
[ "SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
How many concerts occurred in 2014 or 2015?
21
concert_singer
[ "SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show the stadium name and the number of concerts in each stadium.
22
concert_singer
[ "SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
For each stadium, how many concerts play there?
23
concert_singer
[ "SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show the stadium name and capacity with most number of concerts in year 2014 or after.
24
concert_singer
[ "SELECT T2.name , T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year >= 2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the name and capacity of the stadium with the most concerts after 2013 ?
25
concert_singer
[ "select t2.name , t2.capacity from concert as t1 join stadium as t2 on t1.stadium_id = t2.stadium_id where t1.year > 2013 group by t2.stadium_id order by count(*) desc limit 1" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Which year has most number of concerts?
26
concert_singer
[ "SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What is the year that had the most concerts?
27
concert_singer
[ "SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show the stadium names without any concert.
28
concert_singer
[ "SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are the names of the stadiums without any concerts?
29
concert_singer
[ "SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert)" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show countries where a singer above age 40 and a singer below 30 are from.
30
concert_singer
[ "SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show names for all stadiums except for stadiums having a concert in year 2014.
31
concert_singer
[ "SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014" ]
spider
dev
Database Schema: Table singer_in_concert singer_in_concert.Singer_ID: TEXT PRIMARY KEY - singer id Sample values: "2", "3", "5", "6", "4" singer_in_concert.concert_ID: INT PRIMARY KEY - concert id Sample values: "1", "2", "3", "4", "5" Table singer singer.Name: TEXT - name Sample values: "Joe Sharp"...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
What are the names of all stadiums that did not have a concert in 2014?
32
concert_singer
[ "SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014" ]
spider
dev
Database Schema: Table singer singer.Country: TEXT - country Sample values: "Netherlands", "United States", "France" singer.Name: TEXT - name Sample values: "Joe Sharp", "Timbaland", "Justin Brown", "Rose White", "John Nizinik" singer.Is_male: BOOL - is male Sample values: "F", "T" singer.Singer_ID...
[ { "content": "\nYou are a meticulous SQL expert. Generate a single, correct SQL query for the user question and the provided database schema.\nFollow this exact response format:\n\nRules:\n- Output exactly one SQL statement.\n- The SQL must be executable on SQLite.\n- Do not include any explanatory text.\n- Out...
Show the name and theme for all concerts and the number of singers in each concert.
33
concert_singer
[ "SELECT T2.concert_name , T2.theme , count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T2.concert_id" ]
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