sert121/SpiderSQL huggingface dataset:
-- Language PostgreSQL
        -- Tables: 
             -- Table: school 
columns : [['school id', 'number'], ['school', 'text'], ['location', 'text'], ['enrollment', 'number'], ['founded', 'number'], ['denomination', 'text'], ['boys or girls', 'text'], ['day or boarding', 'text'], ['year entered competition', 'number'], ['school colors', 'text']]

 -- Table: school details 
columns : [['school id', 'number'], ['nickname', 'text'], ['colors', 'text'], ['league', 'text'], ['class', 'text'], ['division', 'text']]

 -- Table: school performance 
columns : [['school id', 'number'], ['school year', 'text'], ['class a', 'text'], ['class aa', 'text']]

 -- Table: player 
columns : [['player id', 'number'], ['player', 'text'], ['team', 'text'], ['age', 'number'], ['position', 'text'], ['school id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Show the denomination shared by schools founded before 1890 and schools founded after 1900
SQL: SELECT Denomination FROM school WHERE Founded  <  1890 INTERSECT SELECT Denomination FROM school WHERE Founded  >  1900
-- Language PostgreSQL
        -- Tables: 
             -- Table: school 
columns : [['school id', 'number'], ['school', 'text'], ['location', 'text'], ['enrollment', 'number'], ['founded', 'number'], ['denomination', 'text'], ['boys or girls', 'text'], ['day or boarding', 'text'], ['year entered competition', 'number'], ['school colors', 'text']]

 -- Table: school details 
columns : [['school id', 'number'], ['nickname', 'text'], ['colors', 'text'], ['league', 'text'], ['class', 'text'], ['division', 'text']]

 -- Table: school performance 
columns : [['school id', 'number'], ['school year', 'text'], ['class a', 'text'], ['class aa', 'text']]

 -- Table: player 
columns : [['player id', 'number'], ['player', 'text'], ['team', 'text'], ['age', 'number'], ['position', 'text'], ['school id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the denominations used by both schools founded before 1890 and schools founded  after 1900?
SQL: SELECT Denomination FROM school WHERE Founded  <  1890 INTERSECT SELECT Denomination FROM school WHERE Founded  >  1900
-- Language PostgreSQL
        -- Tables: 
             -- Table: school 
columns : [['school id', 'number'], ['school', 'text'], ['location', 'text'], ['enrollment', 'number'], ['founded', 'number'], ['denomination', 'text'], ['boys or girls', 'text'], ['day or boarding', 'text'], ['year entered competition', 'number'], ['school colors', 'text']]

 -- Table: school details 
columns : [['school id', 'number'], ['nickname', 'text'], ['colors', 'text'], ['league', 'text'], ['class', 'text'], ['division', 'text']]

 -- Table: school performance 
columns : [['school id', 'number'], ['school year', 'text'], ['class a', 'text'], ['class aa', 'text']]

 -- Table: player 
columns : [['player id', 'number'], ['player', 'text'], ['team', 'text'], ['age', 'number'], ['position', 'text'], ['school id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Show the nicknames of schools that are not in division 1.
SQL: SELECT Nickname FROM school_details WHERE Division != "Division 1"
-- Language PostgreSQL
        -- Tables: 
             -- Table: school 
columns : [['school id', 'number'], ['school', 'text'], ['location', 'text'], ['enrollment', 'number'], ['founded', 'number'], ['denomination', 'text'], ['boys or girls', 'text'], ['day or boarding', 'text'], ['year entered competition', 'number'], ['school colors', 'text']]

 -- Table: school details 
columns : [['school id', 'number'], ['nickname', 'text'], ['colors', 'text'], ['league', 'text'], ['class', 'text'], ['division', 'text']]

 -- Table: school performance 
columns : [['school id', 'number'], ['school year', 'text'], ['class a', 'text'], ['class aa', 'text']]

 -- Table: player 
columns : [['player id', 'number'], ['player', 'text'], ['team', 'text'], ['age', 'number'], ['position', 'text'], ['school id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the nicknames of schools whose division is not 1?
SQL: SELECT Nickname FROM school_details WHERE Division != "Division 1"
-- Language PostgreSQL
        -- Tables: 
             -- Table: school 
columns : [['school id', 'number'], ['school', 'text'], ['location', 'text'], ['enrollment', 'number'], ['founded', 'number'], ['denomination', 'text'], ['boys or girls', 'text'], ['day or boarding', 'text'], ['year entered competition', 'number'], ['school colors', 'text']]

 -- Table: school details 
columns : [['school id', 'number'], ['nickname', 'text'], ['colors', 'text'], ['league', 'text'], ['class', 'text'], ['division', 'text']]

 -- Table: school performance 
columns : [['school id', 'number'], ['school year', 'text'], ['class a', 'text'], ['class aa', 'text']]

 -- Table: player 
columns : [['player id', 'number'], ['player', 'text'], ['team', 'text'], ['age', 'number'], ['position', 'text'], ['school id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Show the denomination shared by more than one school.
SQL: SELECT Denomination FROM school GROUP BY Denomination HAVING COUNT(*)  >  1
-- Language PostgreSQL
        -- Tables: 
             -- Table: school 
columns : [['school id', 'number'], ['school', 'text'], ['location', 'text'], ['enrollment', 'number'], ['founded', 'number'], ['denomination', 'text'], ['boys or girls', 'text'], ['day or boarding', 'text'], ['year entered competition', 'number'], ['school colors', 'text']]

 -- Table: school details 
columns : [['school id', 'number'], ['nickname', 'text'], ['colors', 'text'], ['league', 'text'], ['class', 'text'], ['division', 'text']]

 -- Table: school performance 
columns : [['school id', 'number'], ['school year', 'text'], ['class a', 'text'], ['class aa', 'text']]

 -- Table: player 
columns : [['player id', 'number'], ['player', 'text'], ['team', 'text'], ['age', 'number'], ['position', 'text'], ['school id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the denomination more than one school have?
SQL: SELECT Denomination FROM school GROUP BY Denomination HAVING COUNT(*)  >  1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find all the distinct district names ordered by city area in descending.
SQL: SELECT DISTINCT District_name FROM district ORDER BY city_area DESC
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the different district names in order of descending city area?
SQL: SELECT DISTINCT District_name FROM district ORDER BY city_area DESC
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the list of page size which have more than 3 product listed
SQL: SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*)  >  3
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the maximum page size for everything that has more than 3 products listed?
SQL: SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*)  >  3
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the name and population of district with population between 200000 and 2000000
SQL: SELECT District_name ,  City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?
SQL: SELECT District_name ,  City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the name all districts with city area greater than 10 or population larger than 100000
SQL: SELECT district_name FROM district WHERE city_area  >  10 OR City_Population  >  100000
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the names of all districts with a city area greater than 10 or have more than 100000 people living there?
SQL: SELECT district_name FROM district WHERE city_area  >  10 OR City_Population  >  100000
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Which district has the largest population?
SQL: SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the name of the district with the most residents?
SQL: SELECT district_name FROM district ORDER BY city_population DESC LIMIT 1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Which district has the least area?
SQL: SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the name of the district with the smallest area?
SQL: SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the total population of the top 3 districts with the largest area.
SQL: SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the total number of residents for the districts with the 3 largest areas?
SQL: SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find all types of store and number of them.
SQL: SELECT TYPE ,  count(*) FROM store GROUP BY TYPE
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: For each type of store, how many of them are there?
SQL: SELECT TYPE ,  count(*) FROM store GROUP BY TYPE
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the names of all stores in Khanewal District.
SQL: SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id WHERE t3.district_name  =  "Khanewal District"
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the names of all the stores located in Khanewal District?
SQL: SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id WHERE t3.district_name  =  "Khanewal District"
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find all the stores in the district with the most population.
SQL: SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id WHERE district_id  =  (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What are the names of all the stores in the largest district by population?
SQL: SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id WHERE district_id  =  (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Which city is the headquarter of the store named "Blackville" in?
SQL: SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id WHERE t1.store_name  =  "Blackville"
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What city is the headquarter of the store Blackville?
SQL: SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id WHERE t1.store_name  =  "Blackville"
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the number of stores in each city.
SQL: SELECT t3.headquartered_city ,  count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id GROUP BY t3.headquartered_city
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: How many stores are headquarted in each city?
SQL: SELECT t3.headquartered_city ,  count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id GROUP BY t3.headquartered_city
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find the city with the most number of stores.
SQL: SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the city with the most number of flagship stores?
SQL: SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id  =  t2.store_id JOIN district AS t3 ON t2.district_id  =  t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the average pages per minute color?
SQL: SELECT avg(pages_per_minute_color) FROM product
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What is the average number of pages per minute color?
SQL: SELECT avg(pages_per_minute_color) FROM product
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What products are available at store named "Miramichi"?
SQL: SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id  =  t2.product_id JOIN store AS t3 ON t2.store_id  =  t3.store_id WHERE t3.store_name  =  "Miramichi"
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: What products are sold at the store named Miramichi?
SQL: SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id  =  t2.product_id JOIN store AS t3 ON t2.store_id  =  t3.store_id WHERE t3.store_name  =  "Miramichi"
-- Language PostgreSQL
        -- Tables: 
             -- Table: product 
columns : [['product id', 'number'], ['product', 'text'], ['dimensions', 'text'], ['dpi', 'number'], ['pages per minute color', 'number'], ['max page size', 'text'], ['interface', 'text']]

 -- Table: store 
columns : [['store id', 'number'], ['store name', 'text'], ['type', 'text'], ['area size', 'number'], ['number of product category', 'number'], ['ranking', 'number']]

 -- Table: district 
columns : [['district id', 'number'], ['district name', 'text'], ['headquartered city', 'text'], ['city population', 'number'], ['city area', 'number']]

 -- Table: store product 
columns : [['store id', 'number'], ['product id', 'number']]

 -- Table: store district 
columns : [['store id', 'number'], ['district id', 'number']]

You are a SQL code translator. You have been given the Table data above. Your role is to translate natural language to PostgreSQL. 
You should not select columns that are not part of the tables provided to you. Think step by step.
Your only output should be SQL code. Do not include any other text. Only SQL code.



Question: Find products with max page size as "A4" and pages per minute color smaller than 5.
SQL: SELECT product FROM product WHERE max_page_size  =  "A4" AND pages_per_minute_color  <  5