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gas_company
What are the names and headquarters of all companies ordered by descending market value?
SELECT company , headquarters FROM company ORDER BY market_value DESC
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "names", "and", "headquarters", "of", "all", "companies", "ordered", "by", "descending", "market", "value", "?" ]
gas_company
Show minimum, maximum, and average market value for all companies.
SELECT min(market_value) , max(market_value) , avg(market_value) FROM company
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "minimum", ",", "maximum", ",", "and", "average", "market", "value", "for", "all", "companies", "." ]
gas_company
What is the minimum, maximum, and average market value for every company?
SELECT min(market_value) , max(market_value) , avg(market_value) FROM company
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "is", "the", "minimum", ",", "maximum", ",", "and", "average", "market", "value", "for", "every", "company", "?" ]
gas_company
Show all main industry for all companies.
SELECT DISTINCT main_industry FROM company
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "all", "main", "industry", "for", "all", "companies", "." ]
gas_company
What are the different main industries for all companies?
SELECT DISTINCT main_industry FROM company
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "different", "main", "industries", "for", "all", "companies", "?" ]
gas_company
List all headquarters and the number of companies in each headquarter.
SELECT headquarters , count(*) FROM company GROUP BY headquarters
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "List", "all", "headquarters", "and", "the", "number", "of", "companies", "in", "each", "headquarter", "." ]
gas_company
For each headquarter, what are the headquarter and how many companies are centered there?
SELECT headquarters , count(*) FROM company GROUP BY headquarters
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "For", "each", "headquarter", ",", "what", "are", "the", "headquarter", "and", "how", "many", "companies", "are", "centered", "there", "?" ]
gas_company
Show all main industry and total market value in each industry.
SELECT main_industry , sum(market_value) FROM company GROUP BY main_industry
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "all", "main", "industry", "and", "total", "market", "value", "in", "each", "industry", "." ]
gas_company
What are the main indstries and total market value for each industry?
SELECT main_industry , sum(market_value) FROM company GROUP BY main_industry
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "main", "indstries", "and", "total", "market", "value", "for", "each", "industry", "?" ]
gas_company
List the main industry with highest total market value and its number of companies.
SELECT main_industry , count(*) FROM company GROUP BY main_industry ORDER BY sum(market_value) DESC LIMIT 1
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "List", "the", "main", "industry", "with", "highest", "total", "market", "value", "and", "its", "number", "of", "companies", "." ]
gas_company
For each main industry, what is the total number of companies for the industry with the highest total market value?
SELECT main_industry , count(*) FROM company GROUP BY main_industry ORDER BY sum(market_value) DESC LIMIT 1
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "For", "each", "main", "industry", ",", "what", "is", "the", "total", "number", "of", "companies", "for", "the", "industry", "with", "the", "highest", "total", "market", "value", "?" ]
gas_company
Show headquarters with at least two companies in the banking industry.
SELECT headquarters FROM company WHERE main_industry = 'Banking' GROUP BY headquarters HAVING count(*) >= 2
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "headquarters", "with", "at", "least", "two", "companies", "in", "the", "banking", "industry", "." ]
gas_company
What are the headquarters with at least two companies in the banking industry?
SELECT headquarters FROM company WHERE main_industry = 'Banking' GROUP BY headquarters HAVING count(*) >= 2
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "headquarters", "with", "at", "least", "two", "companies", "in", "the", "banking", "industry", "?" ]
gas_company
Show gas station id, location, and manager_name for all gas stations ordered by open year.
SELECT station_id , LOCATION , manager_name FROM gas_station ORDER BY open_year
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "gas", "station", "id", ",", "location", ",", "and", "manager_name", "for", "all", "gas", "stations", "ordered", "by", "open", "year", "." ]
gas_company
What are the gas station ids, locations, and manager names for the gas stations ordered by opening year?
SELECT station_id , LOCATION , manager_name FROM gas_station ORDER BY open_year
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "gas", "station", "ids", ",", "locations", ",", "and", "manager", "names", "for", "the", "gas", "stations", "ordered", "by", "opening", "year", "?" ]
gas_company
How many gas station are opened between 2000 and 2005?
SELECT count(*) FROM gas_station WHERE open_year BETWEEN 2000 AND 2005
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "How", "many", "gas", "station", "are", "opened", "between", "2000", "and", "2005", "?" ]
gas_company
What is the total number of gas stations that opened between 2000 and 2005?
SELECT count(*) FROM gas_station WHERE open_year BETWEEN 2000 AND 2005
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "is", "the", "total", "number", "of", "gas", "stations", "that", "opened", "between", "2000", "and", "2005", "?" ]
gas_company
Show all locations and the number of gas stations in each location ordered by the count.
SELECT LOCATION , count(*) FROM gas_station GROUP BY LOCATION ORDER BY count(*)
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "all", "locations", "and", "the", "number", "of", "gas", "stations", "in", "each", "location", "ordered", "by", "the", "count", "." ]
gas_company
For each location, how many gas stations are there in order?
SELECT LOCATION , count(*) FROM gas_station GROUP BY LOCATION ORDER BY count(*)
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "For", "each", "location", ",", "how", "many", "gas", "stations", "are", "there", "in", "order", "?" ]
gas_company
Show all headquarters with both a company in banking industry and a company in Oil and gas.
SELECT headquarters FROM company WHERE main_industry = 'Banking' INTERSECT SELECT headquarters FROM company WHERE main_industry = 'Oil and gas'
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "all", "headquarters", "with", "both", "a", "company", "in", "banking", "industry", "and", "a", "company", "in", "Oil", "and", "gas", "." ]
gas_company
What are the headquarters that have both a company in the banking and 'oil and gas' industries?
SELECT headquarters FROM company WHERE main_industry = 'Banking' INTERSECT SELECT headquarters FROM company WHERE main_industry = 'Oil and gas'
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "headquarters", "that", "have", "both", "a", "company", "in", "the", "banking", "and", "'oil", "and", "gas", "'", "industries", "?" ]
gas_company
Show all headquarters without a company in banking industry.
SELECT headquarters FROM company EXCEPT SELECT headquarters FROM company WHERE main_industry = 'Banking'
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "all", "headquarters", "without", "a", "company", "in", "banking", "industry", "." ]
gas_company
What are the headquarters without companies that are in the banking industry?
SELECT headquarters FROM company EXCEPT SELECT headquarters FROM company WHERE main_industry = 'Banking'
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "headquarters", "without", "companies", "that", "are", "in", "the", "banking", "industry", "?" ]
gas_company
Show the company name with the number of gas station.
SELECT T2.company , count(*) FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "the", "company", "name", "with", "the", "number", "of", "gas", "station", "." ]
gas_company
For each company id, what are the companies and how many gas stations does each one operate?
SELECT T2.company , count(*) FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "For", "each", "company", "id", ",", "what", "are", "the", "companies", "and", "how", "many", "gas", "stations", "does", "each", "one", "operate", "?" ]
gas_company
Show company name and main industry without a gas station.
SELECT company , main_industry FROM company WHERE company_id NOT IN (SELECT company_id FROM station_company)
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "company", "name", "and", "main", "industry", "without", "a", "gas", "station", "." ]
gas_company
What are the main industries of the companies without gas stations and what are the companies?
SELECT company , main_industry FROM company WHERE company_id NOT IN (SELECT company_id FROM station_company)
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "main", "industries", "of", "the", "companies", "without", "gas", "stations", "and", "what", "are", "the", "companies", "?" ]
gas_company
Show the manager name for gas stations belonging to the ExxonMobil company.
SELECT T3.manager_name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id WHERE T2.company = 'ExxonMobil'
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "the", "manager", "name", "for", "gas", "stations", "belonging", "to", "the", "ExxonMobil", "company", "." ]
gas_company
What are the names of the managers for gas stations that are operated by the ExxonMobil company?
SELECT T3.manager_name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id WHERE T2.company = 'ExxonMobil'
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "names", "of", "the", "managers", "for", "gas", "stations", "that", "are", "operated", "by", "the", "ExxonMobil", "company", "?" ]
gas_company
Show all locations where a gas station for company with market value greater than 100 is located.
SELECT T3.location FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id WHERE T2.market_value > 100
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "all", "locations", "where", "a", "gas", "station", "for", "company", "with", "market", "value", "greater", "than", "100", "is", "located", "." ]
gas_company
What are the locations that have gas stations owned by a company with a market value greater than 100?
SELECT T3.location FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id WHERE T2.market_value > 100
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "locations", "that", "have", "gas", "stations", "owned", "by", "a", "company", "with", "a", "market", "value", "greater", "than", "100", "?" ]
gas_company
Show the manager name with most number of gas stations opened after 2000.
SELECT manager_name FROM gas_station WHERE open_year > 2000 GROUP BY manager_name ORDER BY count(*) DESC LIMIT 1
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "Show", "the", "manager", "name", "with", "most", "number", "of", "gas", "stations", "opened", "after", "2000", "." ]
gas_company
What is the name of the manager with the most gas stations that opened after 2000?
SELECT manager_name FROM gas_station WHERE open_year > 2000 GROUP BY manager_name ORDER BY count(*) DESC LIMIT 1
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "is", "the", "name", "of", "the", "manager", "with", "the", "most", "gas", "stations", "that", "opened", "after", "2000", "?" ]
gas_company
order all gas station locations by the opening year.
SELECT LOCATION FROM gas_station ORDER BY open_year
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "order", "all", "gas", "station", "locations", "by", "the", "opening", "year", "." ]
gas_company
What are the locations of all the gas stations ordered by opening year?
SELECT LOCATION FROM gas_station ORDER BY open_year
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "locations", "of", "all", "the", "gas", "stations", "ordered", "by", "opening", "year", "?" ]
gas_company
find the rank, company names, market values of the companies in the banking industry order by their sales and profits in billion.
SELECT rank , company , market_value FROM company WHERE main_industry = 'Banking' ORDER BY sales_billion , profits_billion
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "find", "the", "rank", ",", "company", "names", ",", "market", "values", "of", "the", "companies", "in", "the", "banking", "industry", "order", "by", "their", "sales", "and", "profits", "in", "billion", "." ]
gas_company
What is the rank, company, and market value of every comapny in the banking industry ordered by sales and profits?
SELECT rank , company , market_value FROM company WHERE main_industry = 'Banking' ORDER BY sales_billion , profits_billion
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "is", "the", "rank", ",", "company", ",", "and", "market", "value", "of", "every", "comapny", "in", "the", "banking", "industry", "ordered", "by", "sales", "and", "profits", "?" ]
gas_company
find the location and Representative name of the gas stations owned by the companies with top 3 Asset amounts.
SELECT T3.location , T3.Representative_Name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id ORDER BY T2.Assets_billion DESC LIMIT 3
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "find", "the", "location", "and", "Representative", "name", "of", "the", "gas", "stations", "owned", "by", "the", "companies", "with", "top", "3", "Asset", "amounts", "." ]
gas_company
What are the locations and representatives' names of the gas stations owned by the companies with the 3 largest amounts of assets?
SELECT T3.location , T3.Representative_Name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id ORDER BY T2.Assets_billion DESC LIMIT 3
company: Company_ID (number), Rank (number), Company (text), Headquarters (text), Main_Industry (text), Sales_billion (number), Profits_billion (number), Assets_billion (number), Market_Value (number) | gas_station: Station_ID (number), Open_Year (number), Location (text), Manager_Name (text), Vice_Manager_Name (text),...
[ "What", "are", "the", "locations", "and", "representatives", "'", "names", "of", "the", "gas", "stations", "owned", "by", "the", "companies", "with", "the", "3", "largest", "amounts", "of", "assets", "?" ]
party_people
How many regions do we have?
SELECT count(*) FROM region
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "How", "many", "regions", "do", "we", "have", "?" ]
party_people
Count the number of regions.
SELECT count(*) FROM region
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Count", "the", "number", "of", "regions", "." ]
party_people
Show all distinct region names ordered by their labels.
SELECT DISTINCT region_name FROM region ORDER BY Label
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "all", "distinct", "region", "names", "ordered", "by", "their", "labels", "." ]
party_people
What are the different region names, ordered by labels?
SELECT DISTINCT region_name FROM region ORDER BY Label
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "are", "the", "different", "region", "names", ",", "ordered", "by", "labels", "?" ]
party_people
How many parties do we have?
SELECT count(DISTINCT party_name) FROM party
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "How", "many", "parties", "do", "we", "have", "?" ]
party_people
Count the number of different parties.
SELECT count(DISTINCT party_name) FROM party
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Count", "the", "number", "of", "different", "parties", "." ]
party_people
Show the ministers and the time they took and left office, listed by the time they left office.
SELECT minister , took_office , left_office FROM party ORDER BY left_office
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "the", "ministers", "and", "the", "time", "they", "took", "and", "left", "office", ",", "listed", "by", "the", "time", "they", "left", "office", "." ]
party_people
Who are the ministers, when did they take office, and when did they leave office, ordered by when they left office?
SELECT minister , took_office , left_office FROM party ORDER BY left_office
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Who", "are", "the", "ministers", ",", "when", "did", "they", "take", "office", ",", "and", "when", "did", "they", "leave", "office", ",", "ordered", "by", "when", "they", "left", "office", "?" ]
party_people
Show the minister who took office after 1961 or before 1959.
SELECT minister FROM party WHERE took_office > 1961 OR took_office < 1959
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "the", "minister", "who", "took", "office", "after", "1961", "or", "before", "1959", "." ]
party_people
Who are the ministers who took office after 1961 or before 1959?
SELECT minister FROM party WHERE took_office > 1961 OR took_office < 1959
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Who", "are", "the", "ministers", "who", "took", "office", "after", "1961", "or", "before", "1959", "?" ]
party_people
Show all ministers who do not belong to Progress Party.
SELECT minister FROM party WHERE party_name != 'Progress Party'
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "all", "ministers", "who", "do", "not", "belong", "to", "Progress", "Party", "." ]
party_people
Which ministers are not a part of the Progress Party?
SELECT minister FROM party WHERE party_name != 'Progress Party'
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Which", "ministers", "are", "not", "a", "part", "of", "the", "Progress", "Party", "?" ]
party_people
Show all ministers and parties they belong to in descending order of the time they took office.
SELECT minister , party_name FROM party ORDER BY took_office DESC
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "all", "ministers", "and", "parties", "they", "belong", "to", "in", "descending", "order", "of", "the", "time", "they", "took", "office", "." ]
party_people
Who are the ministers and what parties do they belong to, listed descending by the times they took office?
SELECT minister , party_name FROM party ORDER BY took_office DESC
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Who", "are", "the", "ministers", "and", "what", "parties", "do", "they", "belong", "to", ",", "listed", "descending", "by", "the", "times", "they", "took", "office", "?" ]
party_people
Return the minister who left office at the latest time.
SELECT minister FROM party ORDER BY left_office DESC LIMIT 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Return", "the", "minister", "who", "left", "office", "at", "the", "latest", "time", "." ]
party_people
Which minister left office the latest?
SELECT minister FROM party ORDER BY left_office DESC LIMIT 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Which", "minister", "left", "office", "the", "latest", "?" ]
party_people
List member names and their party names.
SELECT T1.member_name , T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "List", "member", "names", "and", "their", "party", "names", "." ]
party_people
What are the names of members and their corresponding parties?
SELECT T1.member_name , T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "are", "the", "names", "of", "members", "and", "their", "corresponding", "parties", "?" ]
party_people
Show all party names and the number of members in each party.
SELECT T2.party_name , count(*) FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "all", "party", "names", "and", "the", "number", "of", "members", "in", "each", "party", "." ]
party_people
How many members are in each party?
SELECT T2.party_name , count(*) FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "How", "many", "members", "are", "in", "each", "party", "?" ]
party_people
What is the name of party with most number of members?
SELECT T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id ORDER BY count(*) DESC LIMIT 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "is", "the", "name", "of", "party", "with", "most", "number", "of", "members", "?" ]
party_people
Return the name of the party with the most members.
SELECT T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id ORDER BY count(*) DESC LIMIT 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Return", "the", "name", "of", "the", "party", "with", "the", "most", "members", "." ]
party_people
Show all party names and their region names.
SELECT T1.party_name , T2.region_name FROM party AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "all", "party", "names", "and", "their", "region", "names", "." ]
party_people
What are the names of parties and their respective regions?
SELECT T1.party_name , T2.region_name FROM party AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "are", "the", "names", "of", "parties", "and", "their", "respective", "regions", "?" ]
party_people
Show names of parties that does not have any members.
SELECT party_name FROM party WHERE party_id NOT IN (SELECT party_id FROM Member)
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "names", "of", "parties", "that", "does", "not", "have", "any", "members", "." ]
party_people
What are the names of parties that have no members?
SELECT party_name FROM party WHERE party_id NOT IN (SELECT party_id FROM Member)
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "are", "the", "names", "of", "parties", "that", "have", "no", "members", "?" ]
party_people
Show the member names which are in both the party with id 3 and the party with id 1.
SELECT member_name FROM member WHERE party_id = 3 INTERSECT SELECT member_name FROM member WHERE party_id = 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "the", "member", "names", "which", "are", "in", "both", "the", "party", "with", "id", "3", "and", "the", "party", "with", "id", "1", "." ]
party_people
Which member names are shared among members in the party with the id 3 and the party with the id 1?
SELECT member_name FROM member WHERE party_id = 3 INTERSECT SELECT member_name FROM member WHERE party_id = 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Which", "member", "names", "are", "shared", "among", "members", "in", "the", "party", "with", "the", "id", "3", "and", "the", "party", "with", "the", "id", "1", "?" ]
party_people
Show member names that are not in the Progress Party.
SELECT T1.member_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id WHERE T2.Party_name != "Progress Party"
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "member", "names", "that", "are", "not", "in", "the", "Progress", "Party", "." ]
party_people
Which member names corresponding to members who are not in the Progress Party?
SELECT T1.member_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id WHERE T2.Party_name != "Progress Party"
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Which", "member", "names", "corresponding", "to", "members", "who", "are", "not", "in", "the", "Progress", "Party", "?" ]
party_people
How many party events do we have?
SELECT count(*) FROM party_events
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "How", "many", "party", "events", "do", "we", "have", "?" ]
party_people
Count the number of party events.
SELECT count(*) FROM party_events
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Count", "the", "number", "of", "party", "events", "." ]
party_people
Show party names and the number of events for each party.
SELECT T2.party_name , count(*) FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "party", "names", "and", "the", "number", "of", "events", "for", "each", "party", "." ]
party_people
How many events are there for each party?
SELECT T2.party_name , count(*) FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "How", "many", "events", "are", "there", "for", "each", "party", "?" ]
party_people
Show all member names who are not in charge of any event.
SELECT member_name FROM member EXCEPT SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Show", "all", "member", "names", "who", "are", "not", "in", "charge", "of", "any", "event", "." ]
party_people
What are the names of members who are not in charge of any events?
SELECT member_name FROM member EXCEPT SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "are", "the", "names", "of", "members", "who", "are", "not", "in", "charge", "of", "any", "events", "?" ]
party_people
What are the names of parties with at least 2 events?
SELECT T2.party_name FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id HAVING count(*) >= 2
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "are", "the", "names", "of", "parties", "with", "at", "least", "2", "events", "?" ]
party_people
Return the names of parties that have two or more events.
SELECT T2.party_name FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id HAVING count(*) >= 2
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Return", "the", "names", "of", "parties", "that", "have", "two", "or", "more", "events", "." ]
party_people
What is the name of member in charge of greatest number of events?
SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id GROUP BY T2.member_in_charge_id ORDER BY count(*) DESC LIMIT 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "What", "is", "the", "name", "of", "member", "in", "charge", "of", "greatest", "number", "of", "events", "?" ]
party_people
Return the name of the member who is in charge of the most events.
SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id GROUP BY T2.member_in_charge_id ORDER BY count(*) DESC LIMIT 1
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Return", "the", "name", "of", "the", "member", "who", "is", "in", "charge", "of", "the", "most", "events", "." ]
party_people
find the event names that have more than 2 records.
SELECT event_name FROM party_events GROUP BY event_name HAVING count(*) > 2
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "find", "the", "event", "names", "that", "have", "more", "than", "2", "records", "." ]
party_people
Which event names were used more than twice for party events?
SELECT event_name FROM party_events GROUP BY event_name HAVING count(*) > 2
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Which", "event", "names", "were", "used", "more", "than", "twice", "for", "party", "events", "?" ]
party_people
How many Annual Meeting events happened in the United Kingdom region?
SELECT count(*) FROM region AS t1 JOIN party AS t2 ON t1.region_id = t2.region_id JOIN party_events AS t3 ON t2.party_id = t3.party_id WHERE t1.region_name = "United Kingdom" AND t3.Event_Name = "Annaual Meeting"
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "How", "many", "Annual", "Meeting", "events", "happened", "in", "the", "United", "Kingdom", "region", "?" ]
party_people
Count the number of Annual Meeting events that took place in the region of the United Kingdom.
SELECT count(*) FROM region AS t1 JOIN party AS t2 ON t1.region_id = t2.region_id JOIN party_events AS t3 ON t2.party_id = t3.party_id WHERE t1.region_name = "United Kingdom" AND t3.Event_Name = "Annaual Meeting"
region: Region_ID (number), Region_name (text), Date (text), Label (text), Format (text), Catalogue (text) | party: Party_ID (number), Minister (text), Took_office (text), Left_office (text), Region_ID (number), Party_name (text) | member: Member_ID (number), Member_Name (text), Party_ID (text), In_office (text) | part...
[ "Count", "the", "number", "of", "Annual", "Meeting", "events", "that", "took", "place", "in", "the", "region", "of", "the", "United", "Kingdom", "." ]
pilot_record
How many pilots are there?
SELECT count(*) FROM pilot
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "How", "many", "pilots", "are", "there", "?" ]
pilot_record
List the names of pilots in ascending order of rank.
SELECT Pilot_name FROM pilot ORDER BY Rank ASC
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "List", "the", "names", "of", "pilots", "in", "ascending", "order", "of", "rank", "." ]
pilot_record
What are the positions and teams of pilots?
SELECT POSITION , Team FROM pilot
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "What", "are", "the", "positions", "and", "teams", "of", "pilots", "?" ]
pilot_record
List the distinct positions of pilots older than 30.
SELECT DISTINCT POSITION FROM pilot WHERE Age > 30
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "List", "the", "distinct", "positions", "of", "pilots", "older", "than", "30", "." ]
pilot_record
Show the names of pilots from team "Bradley" or "Fordham".
SELECT Pilot_name FROM pilot WHERE Team = "Bradley" OR Team = "Fordham"
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "names", "of", "pilots", "from", "team", "``", "Bradley", "''", "or", "``", "Fordham", "''", "." ]
pilot_record
What is the joined year of the pilot of the highest rank?
SELECT Join_Year FROM pilot ORDER BY Rank ASC LIMIT 1
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "What", "is", "the", "joined", "year", "of", "the", "pilot", "of", "the", "highest", "rank", "?" ]
pilot_record
What are the different nationalities of pilots? Show each nationality and the number of pilots of each nationality.
SELECT Nationality , COUNT(*) FROM pilot GROUP BY Nationality
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "What", "are", "the", "different", "nationalities", "of", "pilots", "?", "Show", "each", "nationality", "and", "the", "number", "of", "pilots", "of", "each", "nationality", "." ]
pilot_record
Show the most common nationality of pilots.
SELECT Nationality FROM pilot GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "most", "common", "nationality", "of", "pilots", "." ]
pilot_record
Show the pilot positions that have both pilots joining after year 2005 and pilots joining before 2000.
SELECT POSITION FROM pilot WHERE Join_Year < 2000 INTERSECT SELECT POSITION FROM pilot WHERE Join_Year > 2005
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "pilot", "positions", "that", "have", "both", "pilots", "joining", "after", "year", "2005", "and", "pilots", "joining", "before", "2000", "." ]
pilot_record
Show the names of pilots and models of aircrafts they have flied with.
SELECT T3.Pilot_name , T2.Model FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID = T3.Pilot_ID
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "names", "of", "pilots", "and", "models", "of", "aircrafts", "they", "have", "flied", "with", "." ]
pilot_record
Show the names of pilots and fleet series of the aircrafts they have flied with in ascending order of the rank of the pilot.
SELECT T3.Pilot_name , T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID = T3.Pilot_ID ORDER BY T3.Rank
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "names", "of", "pilots", "and", "fleet", "series", "of", "the", "aircrafts", "they", "have", "flied", "with", "in", "ascending", "order", "of", "the", "rank", "of", "the", "pilot", "." ]
pilot_record
Show the fleet series of the aircrafts flied by pilots younger than 34
SELECT T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID = T3.Pilot_ID WHERE T3.Age < 34
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "fleet", "series", "of", "the", "aircrafts", "flied", "by", "pilots", "younger", "than", "34" ]
pilot_record
Show the names of pilots and the number of records they have.
SELECT T2.Pilot_name , COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T2.Pilot_name
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "the", "names", "of", "pilots", "and", "the", "number", "of", "records", "they", "have", "." ]
pilot_record
Show names of pilots that have more than one record.
SELECT T2.Pilot_name , COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T2.Pilot_name HAVING COUNT(*) > 1
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "Show", "names", "of", "pilots", "that", "have", "more", "than", "one", "record", "." ]
pilot_record
List the names of pilots that do not have any record.
SELECT Pilot_name FROM pilot WHERE Pilot_ID NOT IN (SELECT Pilot_ID FROM pilot_record)
aircraft: Aircraft_ID (number), Order_Year (number), Manufacturer (text), Model (text), Fleet_Series (text), Powertrain (text), Fuel_Propulsion (text) | pilot: Pilot_ID (number), Pilot_name (text), Rank (number), Age (number), Nationality (text), Position (text), Join_Year (number), Team (text) | pilot_record: Record_I...
[ "List", "the", "names", "of", "pilots", "that", "do", "not", "have", "any", "record", "." ]
cre_Doc_Control_Systems
What document status codes do we have?
SELECT document_status_code FROM Ref_Document_Status;
Ref_Document_Types: document_type_code (text), document_type_description (text) | Roles: role_code (text), role_description (text) | Addresses: address_id (number), address_details (text) | Ref_Document_Status: document_status_code (text), document_status_description (text) | Ref_Shipping_Agents: shipping_agent_code (t...
[ "What", "document", "status", "codes", "do", "we", "have", "?" ]
cre_Doc_Control_Systems
What is the description of document status code 'working'?
SELECT document_status_description FROM Ref_Document_Status WHERE document_status_code = "working";
Ref_Document_Types: document_type_code (text), document_type_description (text) | Roles: role_code (text), role_description (text) | Addresses: address_id (number), address_details (text) | Ref_Document_Status: document_status_code (text), document_status_description (text) | Ref_Shipping_Agents: shipping_agent_code (t...
[ "What", "is", "the", "description", "of", "document", "status", "code", "'working", "'", "?" ]