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company_employee
What is the maximum and minimum market value of companies?
SELECT max(Market_Value_in_Billion) , min(Market_Value_in_Billion) FROM company
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "What", "is", "the", "maximum", "and", "minimum", "market", "value", "of", "companies", "?" ]
company_employee
What is the headquarter of the company with the largest sales?
SELECT Headquarters FROM company ORDER BY Sales_in_Billion DESC LIMIT 1
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "What", "is", "the", "headquarter", "of", "the", "company", "with", "the", "largest", "sales", "?" ]
company_employee
Show the different headquarters and number of companies at each headquarter.
SELECT Headquarters , COUNT(*) FROM company GROUP BY Headquarters
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "different", "headquarters", "and", "number", "of", "companies", "at", "each", "headquarter", "." ]
company_employee
Show the most common headquarter for companies.
SELECT Headquarters FROM company GROUP BY Headquarters ORDER BY COUNT(*) DESC LIMIT 1
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "most", "common", "headquarter", "for", "companies", "." ]
company_employee
Show the headquarters that have at least two companies.
SELECT Headquarters FROM company GROUP BY Headquarters HAVING COUNT(*) >= 2
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "headquarters", "that", "have", "at", "least", "two", "companies", "." ]
company_employee
Show the headquarters that have both companies in banking industry and companies in oil and gas industry.
SELECT Headquarters FROM company WHERE Industry = "Banking" INTERSECT SELECT Headquarters FROM company WHERE Industry = "Oil and gas"
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "headquarters", "that", "have", "both", "companies", "in", "banking", "industry", "and", "companies", "in", "oil", "and", "gas", "industry", "." ]
company_employee
Show the names of companies and of employees.
SELECT T3.Name , T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "names", "of", "companies", "and", "of", "employees", "." ]
company_employee
Show names of companies and that of employees in descending order of number of years working for that employee.
SELECT T3.Name , T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID ORDER BY T1.Year_working
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "names", "of", "companies", "and", "that", "of", "employees", "in", "descending", "order", "of", "number", "of", "years", "working", "for", "that", "employee", "." ]
company_employee
Show the names of employees that work for companies with sales bigger than 200.
SELECT T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID WHERE T3.Sales_in_Billion > 200
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "names", "of", "employees", "that", "work", "for", "companies", "with", "sales", "bigger", "than", "200", "." ]
company_employee
Show the names of companies and the number of employees they have
SELECT T3.Name , COUNT(*) FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID GROUP BY T3.Name
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "Show", "the", "names", "of", "companies", "and", "the", "number", "of", "employees", "they", "have" ]
company_employee
List the names of people that are not employed by any company
SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID FROM employment)
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "List", "the", "names", "of", "people", "that", "are", "not", "employed", "by", "any", "company" ]
company_employee
list the names of the companies with more than 200 sales in the descending order of sales and profits.
SELECT name FROM company WHERE Sales_in_Billion > 200 ORDER BY Sales_in_Billion , Profits_in_Billion DESC
people: People_ID (number), Age (number), Name (text), Nationality (text), Graduation_College (text) | company: Company_ID (number), Name (text), Headquarters (text), Industry (text), Sales_in_Billion (number), Profits_in_Billion (number), Assets_in_Billion (number), Market_Value_in_Billion (number) | employment: Compa...
[ "list", "the", "names", "of", "the", "companies", "with", "more", "than", "200", "sales", "in", "the", "descending", "order", "of", "sales", "and", "profits", "." ]
film_rank
How many film are there?
SELECT count(*) FROM film
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "How", "many", "film", "are", "there", "?" ]
film_rank
Count the number of films.
SELECT count(*) FROM film
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Count", "the", "number", "of", "films", "." ]
film_rank
List the distinct director of all films.
SELECT DISTINCT Director FROM film
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "the", "distinct", "director", "of", "all", "films", "." ]
film_rank
What are the different film Directors?
SELECT DISTINCT Director FROM film
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "different", "film", "Directors", "?" ]
film_rank
What is the average ticket sales gross in dollars of films?
SELECT avg(Gross_in_dollar) FROM film
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "is", "the", "average", "ticket", "sales", "gross", "in", "dollars", "of", "films", "?" ]
film_rank
Return the average gross sales in dollars across all films.
SELECT avg(Gross_in_dollar) FROM film
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Return", "the", "average", "gross", "sales", "in", "dollars", "across", "all", "films", "." ]
film_rank
What are the low and high estimates of film markets?
SELECT Low_Estimate , High_Estimate FROM film_market_estimation
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "low", "and", "high", "estimates", "of", "film", "markets", "?" ]
film_rank
Return the low and high estimates for all film markets.
SELECT Low_Estimate , High_Estimate FROM film_market_estimation
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Return", "the", "low", "and", "high", "estimates", "for", "all", "film", "markets", "." ]
film_rank
What are the types of film market estimations in year 1995?
SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "types", "of", "film", "market", "estimations", "in", "year", "1995", "?" ]
film_rank
Return the types of film market estimations in 1995.
SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Return", "the", "types", "of", "film", "market", "estimations", "in", "1995", "." ]
film_rank
What are the maximum and minimum number of cities in all markets.
SELECT max(Number_cities) , min(Number_cities) FROM market
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "maximum", "and", "minimum", "number", "of", "cities", "in", "all", "markets", "." ]
film_rank
Return the maximum and minimum number of cities across all markets.
SELECT max(Number_cities) , min(Number_cities) FROM market
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Return", "the", "maximum", "and", "minimum", "number", "of", "cities", "across", "all", "markets", "." ]
film_rank
How many markets have number of cities smaller than 300?
SELECT count(*) FROM market WHERE Number_cities < 300
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "How", "many", "markets", "have", "number", "of", "cities", "smaller", "than", "300", "?" ]
film_rank
Count the number of markets that have a number of cities lower than 300.
SELECT count(*) FROM market WHERE Number_cities < 300
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Count", "the", "number", "of", "markets", "that", "have", "a", "number", "of", "cities", "lower", "than", "300", "." ]
film_rank
List all countries of markets in ascending alphabetical order.
SELECT Country FROM market ORDER BY Country ASC
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "all", "countries", "of", "markets", "in", "ascending", "alphabetical", "order", "." ]
film_rank
What are the countries for each market, ordered alphabetically?
SELECT Country FROM market ORDER BY Country ASC
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "countries", "for", "each", "market", ",", "ordered", "alphabetically", "?" ]
film_rank
List all countries of markets in descending order of number of cities.
SELECT Country FROM market ORDER BY Number_cities DESC
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "all", "countries", "of", "markets", "in", "descending", "order", "of", "number", "of", "cities", "." ]
film_rank
What are the countries for each market ordered by decreasing number of cities?
SELECT Country FROM market ORDER BY Number_cities DESC
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "countries", "for", "each", "market", "ordered", "by", "decreasing", "number", "of", "cities", "?" ]
film_rank
Please show the titles of films and the types of market estimations.
SELECT T1.Title , T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Please", "show", "the", "titles", "of", "films", "and", "the", "types", "of", "market", "estimations", "." ]
film_rank
What are the titles of films and corresponding types of market estimations?
SELECT T1.Title , T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "titles", "of", "films", "and", "corresponding", "types", "of", "market", "estimations", "?" ]
film_rank
Show the distinct director of films with market estimation in the year of 1995.
SELECT DISTINCT T1.Director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID WHERE T2.Year = 1995
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Show", "the", "distinct", "director", "of", "films", "with", "market", "estimation", "in", "the", "year", "of", "1995", "." ]
film_rank
Who are the different directors of films which had market estimation in 1995?
SELECT DISTINCT T1.Director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID WHERE T2.Year = 1995
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Who", "are", "the", "different", "directors", "of", "films", "which", "had", "market", "estimation", "in", "1995", "?" ]
film_rank
What is the average number of cities of markets with low film market estimate bigger than 10000?
SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T1.Low_Estimate > 10000
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "is", "the", "average", "number", "of", "cities", "of", "markets", "with", "low", "film", "market", "estimate", "bigger", "than", "10000", "?" ]
film_rank
Give the average number of cities within markets that had a low market estimation larger than 10000?
SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T1.Low_Estimate > 10000
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Give", "the", "average", "number", "of", "cities", "within", "markets", "that", "had", "a", "low", "market", "estimation", "larger", "than", "10000", "?" ]
film_rank
Please list the countries and years of film market estimations.
SELECT T2.Country , T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Please", "list", "the", "countries", "and", "years", "of", "film", "market", "estimations", "." ]
film_rank
What are the countries of markets and their corresponding years of market estimation?
SELECT T2.Country , T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "countries", "of", "markets", "and", "their", "corresponding", "years", "of", "market", "estimation", "?" ]
film_rank
Please list the years of film market estimations when the market is in country "Japan" in descending order.
SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year DESC
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Please", "list", "the", "years", "of", "film", "market", "estimations", "when", "the", "market", "is", "in", "country", "``", "Japan", "''", "in", "descending", "order", "." ]
film_rank
What are the years of film market estimation for the market of Japan, ordered by year descending?
SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year DESC
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "years", "of", "film", "market", "estimation", "for", "the", "market", "of", "Japan", ",", "ordered", "by", "year", "descending", "?" ]
film_rank
List the studios of each film and the number of films produced by that studio.
SELECT Studio , COUNT(*) FROM film GROUP BY Studio
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "the", "studios", "of", "each", "film", "and", "the", "number", "of", "films", "produced", "by", "that", "studio", "." ]
film_rank
How films are produced by each studio?
SELECT Studio , COUNT(*) FROM film GROUP BY Studio
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "How", "films", "are", "produced", "by", "each", "studio", "?" ]
film_rank
List the name of film studio that have the most number of films.
SELECT Studio FROM film GROUP BY Studio ORDER BY COUNT(*) DESC LIMIT 1
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "the", "name", "of", "film", "studio", "that", "have", "the", "most", "number", "of", "films", "." ]
film_rank
What is the name of teh studio that created the most films?
SELECT Studio FROM film GROUP BY Studio ORDER BY COUNT(*) DESC LIMIT 1
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "is", "the", "name", "of", "teh", "studio", "that", "created", "the", "most", "films", "?" ]
film_rank
List the names of studios that have at least two films.
SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*) >= 2
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "the", "names", "of", "studios", "that", "have", "at", "least", "two", "films", "." ]
film_rank
What are the names of studios that have made two or more films?
SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*) >= 2
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "names", "of", "studios", "that", "have", "made", "two", "or", "more", "films", "?" ]
film_rank
List the title of films that do not have any market estimation.
SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation)
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "the", "title", "of", "films", "that", "do", "not", "have", "any", "market", "estimation", "." ]
film_rank
What are the titles of films that do not have a film market estimation?
SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation)
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "titles", "of", "films", "that", "do", "not", "have", "a", "film", "market", "estimation", "?" ]
film_rank
Show the studios that have produced films with director "Nicholas Meyer" and "Walter Hill".
SELECT Studio FROM film WHERE Director = "Nicholas Meyer" INTERSECT SELECT Studio FROM film WHERE Director = "Walter Hill"
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Show", "the", "studios", "that", "have", "produced", "films", "with", "director", "``", "Nicholas", "Meyer", "''", "and", "``", "Walter", "Hill", "''", "." ]
film_rank
What are the names of studios that have produced films with both Nicholas Meyer and Walter Hill?
SELECT Studio FROM film WHERE Director = "Nicholas Meyer" INTERSECT SELECT Studio FROM film WHERE Director = "Walter Hill"
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "names", "of", "studios", "that", "have", "produced", "films", "with", "both", "Nicholas", "Meyer", "and", "Walter", "Hill", "?" ]
film_rank
Find the titles and studios of the films that are produced by some film studios that contained the word "Universal".
SELECT title , Studio FROM film WHERE Studio LIKE "%Universal%"
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Find", "the", "titles", "and", "studios", "of", "the", "films", "that", "are", "produced", "by", "some", "film", "studios", "that", "contained", "the", "word", "``", "Universal", "''", "." ]
film_rank
What are the titles and studios of films that have been produced by a studio whose name contains "Universal"?
SELECT title , Studio FROM film WHERE Studio LIKE "%Universal%"
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "titles", "and", "studios", "of", "films", "that", "have", "been", "produced", "by", "a", "studio", "whose", "name", "contains", "``", "Universal", "''", "?" ]
film_rank
Show the studios that have not produced films with director "Walter Hill".
SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director = "Walter Hill"
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Show", "the", "studios", "that", "have", "not", "produced", "films", "with", "director", "``", "Walter", "Hill", "''", "." ]
film_rank
Which studios have never worked with the director Walter Hill?
SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director = "Walter Hill"
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Which", "studios", "have", "never", "worked", "with", "the", "director", "Walter", "Hill", "?" ]
film_rank
List the studios which average gross is above 4500000.
SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "List", "the", "studios", "which", "average", "gross", "is", "above", "4500000", "." ]
film_rank
Which studios have an average gross of over 4500000?
SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Which", "studios", "have", "an", "average", "gross", "of", "over", "4500000", "?" ]
film_rank
What is the title of the film that has the highest high market estimation.
SELECT t1.title FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID ORDER BY high_estimate DESC LIMIT 1
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "is", "the", "title", "of", "the", "film", "that", "has", "the", "highest", "high", "market", "estimation", "." ]
film_rank
Return the title of the film with the highest high estimate?
SELECT t1.title FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID ORDER BY high_estimate DESC LIMIT 1
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Return", "the", "title", "of", "the", "film", "with", "the", "highest", "high", "estimate", "?" ]
film_rank
What are the titles and directors of the films were never presented in China?
SELECT title , director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id = T2.Market_ID WHERE country = 'China')
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "What", "are", "the", "titles", "and", "directors", "of", "the", "films", "were", "never", "presented", "in", "China", "?" ]
film_rank
Return the titles and directors of films that were never in the market of China.
SELECT title , director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id = T2.Market_ID WHERE country = 'China')
film: Film_ID (number), Title (text), Studio (text), Director (text), Gross_in_dollar (number) | market: Market_ID (number), Country (text), Number_cities (number) | film_market_estimation: Estimation_ID (number), Low_Estimate (number), High_Estimate (number), Film_ID (number), Type (text), Market_ID (number), Year (nu...
[ "Return", "the", "titles", "and", "directors", "of", "films", "that", "were", "never", "in", "the", "market", "of", "China", "." ]
cre_Doc_Tracking_DB
How many calendar items do we have?
SELECT count(*) FROM Ref_calendar
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "How", "many", "calendar", "items", "do", "we", "have", "?" ]
cre_Doc_Tracking_DB
Count the number of all the calendar items.
SELECT count(*) FROM Ref_calendar
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Count", "the", "number", "of", "all", "the", "calendar", "items", "." ]
cre_Doc_Tracking_DB
Show all calendar dates and day Numbers.
SELECT calendar_date , day_Number FROM Ref_calendar
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "all", "calendar", "dates", "and", "day", "Numbers", "." ]
cre_Doc_Tracking_DB
What are all the calendar dates and day Numbers?
SELECT calendar_date , day_Number FROM Ref_calendar
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "all", "the", "calendar", "dates", "and", "day", "Numbers", "?" ]
cre_Doc_Tracking_DB
Show the number of document types.
SELECT count(*) FROM Ref_document_types
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "the", "number", "of", "document", "types", "." ]
cre_Doc_Tracking_DB
How many document types are there?
SELECT count(*) FROM Ref_document_types
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "How", "many", "document", "types", "are", "there", "?" ]
cre_Doc_Tracking_DB
List all document type codes and document type names.
SELECT document_type_code , document_type_name FROM Ref_document_types
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "List", "all", "document", "type", "codes", "and", "document", "type", "names", "." ]
cre_Doc_Tracking_DB
What are all the document type codes and document type names?
SELECT document_type_code , document_type_name FROM Ref_document_types
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "all", "the", "document", "type", "codes", "and", "document", "type", "names", "?" ]
cre_Doc_Tracking_DB
What is the name and description for document type code RV?
SELECT document_type_name , document_type_description FROM Ref_document_types WHERE document_type_code = "RV"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "name", "and", "description", "for", "document", "type", "code", "RV", "?" ]
cre_Doc_Tracking_DB
Give me the name and description of the document type code RV.
SELECT document_type_name , document_type_description FROM Ref_document_types WHERE document_type_code = "RV"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Give", "me", "the", "name", "and", "description", "of", "the", "document", "type", "code", "RV", "." ]
cre_Doc_Tracking_DB
What is the document type code for document type "Paper"?
SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "document", "type", "code", "for", "document", "type", "``", "Paper", "''", "?" ]
cre_Doc_Tracking_DB
Find the code of the document type "Paper".
SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Find", "the", "code", "of", "the", "document", "type", "``", "Paper", "''", "." ]
cre_Doc_Tracking_DB
Show the number of documents with document type code CV or BK.
SELECT count(*) FROM All_documents WHERE document_type_code = "CV" OR document_type_code = "BK"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "the", "number", "of", "documents", "with", "document", "type", "code", "CV", "or", "BK", "." ]
cre_Doc_Tracking_DB
How many documents have document type code CV or BK?
SELECT count(*) FROM All_documents WHERE document_type_code = "CV" OR document_type_code = "BK"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "How", "many", "documents", "have", "document", "type", "code", "CV", "or", "BK", "?" ]
cre_Doc_Tracking_DB
What is the date when the document "Marry CV" was stored?
SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "date", "when", "the", "document", "``", "Marry", "CV", "''", "was", "stored", "?" ]
cre_Doc_Tracking_DB
When was the document named "Marry CV" stored? Give me the date.
SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "When", "was", "the", "document", "named", "``", "Marry", "CV", "''", "stored", "?", "Give", "me", "the", "date", "." ]
cre_Doc_Tracking_DB
What is the day Number and date of all the documents?
SELECT T2.day_Number , T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored = T2.calendar_date
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "day", "Number", "and", "date", "of", "all", "the", "documents", "?" ]
cre_Doc_Tracking_DB
Return the day Number and stored date for all the documents.
SELECT T2.day_Number , T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored = T2.calendar_date
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Return", "the", "day", "Number", "and", "stored", "date", "for", "all", "the", "documents", "." ]
cre_Doc_Tracking_DB
What is the document type name for the document with name "How to read a book"?
SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code = T2.document_type_code WHERE T1.document_name = "How to read a book"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "document", "type", "name", "for", "the", "document", "with", "name", "``", "How", "to", "read", "a", "book", "''", "?" ]
cre_Doc_Tracking_DB
Find the document type name of the document named "How to read a book".
SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code = T2.document_type_code WHERE T1.document_name = "How to read a book"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Find", "the", "document", "type", "name", "of", "the", "document", "named", "``", "How", "to", "read", "a", "book", "''", "." ]
cre_Doc_Tracking_DB
Show the number of locations.
SELECT count(*) FROM Ref_locations
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "the", "number", "of", "locations", "." ]
cre_Doc_Tracking_DB
How many locations are listed in the database?
SELECT count(*) FROM Ref_locations
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "How", "many", "locations", "are", "listed", "in", "the", "database", "?" ]
cre_Doc_Tracking_DB
List all location codes and location names.
SELECT location_code , location_name FROM Ref_locations
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "List", "all", "location", "codes", "and", "location", "names", "." ]
cre_Doc_Tracking_DB
What are all the location codes and location names?
SELECT location_code , location_name FROM Ref_locations
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "all", "the", "location", "codes", "and", "location", "names", "?" ]
cre_Doc_Tracking_DB
What are the name and description for location code x?
SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "the", "name", "and", "description", "for", "location", "code", "x", "?" ]
cre_Doc_Tracking_DB
Give me the name and description of the location with code x.
SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Give", "me", "the", "name", "and", "description", "of", "the", "location", "with", "code", "x", "." ]
cre_Doc_Tracking_DB
What is the location code for the country "Canada"?
SELECT location_code FROM Ref_locations WHERE location_name = "Canada"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "location", "code", "for", "the", "country", "``", "Canada", "''", "?" ]
cre_Doc_Tracking_DB
Show the location code of the country "Canada".
SELECT location_code FROM Ref_locations WHERE location_name = "Canada"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "the", "location", "code", "of", "the", "country", "``", "Canada", "''", "." ]
cre_Doc_Tracking_DB
How many roles are there?
SELECT count(*) FROM ROLES
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "How", "many", "roles", "are", "there", "?" ]
cre_Doc_Tracking_DB
Count the total number of roles listed.
SELECT count(*) FROM ROLES
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Count", "the", "total", "number", "of", "roles", "listed", "." ]
cre_Doc_Tracking_DB
List all role codes, role names, and role descriptions.
SELECT role_code , role_name , role_description FROM ROLES
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "List", "all", "role", "codes", ",", "role", "names", ",", "and", "role", "descriptions", "." ]
cre_Doc_Tracking_DB
What are all the role codes, role names, and role descriptions?
SELECT role_code , role_name , role_description FROM ROLES
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "all", "the", "role", "codes", ",", "role", "names", ",", "and", "role", "descriptions", "?" ]
cre_Doc_Tracking_DB
What are the name and description for role code "MG"?
SELECT role_name , role_description FROM ROLES WHERE role_code = "MG"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "the", "name", "and", "description", "for", "role", "code", "``", "MG", "''", "?" ]
cre_Doc_Tracking_DB
Find the name and description of the role with code "MG".
SELECT role_name , role_description FROM ROLES WHERE role_code = "MG"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Find", "the", "name", "and", "description", "of", "the", "role", "with", "code", "``", "MG", "''", "." ]
cre_Doc_Tracking_DB
Show the description for role name "Proof Reader".
SELECT role_description FROM ROLES WHERE role_name = "Proof Reader"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "the", "description", "for", "role", "name", "``", "Proof", "Reader", "''", "." ]
cre_Doc_Tracking_DB
What is the description of the role named "Proof Reader"?
SELECT role_description FROM ROLES WHERE role_name = "Proof Reader"
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "is", "the", "description", "of", "the", "role", "named", "``", "Proof", "Reader", "''", "?" ]
cre_Doc_Tracking_DB
How many employees do we have?
SELECT count(*) FROM Employees
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "How", "many", "employees", "do", "we", "have", "?" ]
cre_Doc_Tracking_DB
Find the number of employees we have.
SELECT count(*) FROM Employees
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Find", "the", "number", "of", "employees", "we", "have", "." ]
cre_Doc_Tracking_DB
Show the name, role code, and date of birth for the employee with name 'Armani'.
SELECT employee_name , role_code , date_of_birth FROM Employees WHERE employee_Name = 'Armani'
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "Show", "the", "name", ",", "role", "code", ",", "and", "date", "of", "birth", "for", "the", "employee", "with", "name", "'Armani", "'", "." ]
cre_Doc_Tracking_DB
What are the name, role code, and date of birth of the employee named 'Armani'?
SELECT employee_name , role_code , date_of_birth FROM Employees WHERE employee_Name = 'Armani'
Ref_Document_Types: Document_Type_Code (text), Document_Type_Name (text), Document_Type_Description (text) | Ref_Calendar: Calendar_Date (time), Day_Number (number) | Ref_Locations: Location_Code (text), Location_Name (text), Location_Description (text) | Roles: Role_Code (text), Role_Name (text), Role_Description (tex...
[ "What", "are", "the", "name", ",", "role", "code", ",", "and", "date", "of", "birth", "of", "the", "employee", "named", "'Armani", "'", "?" ]