query_id
int64 0
7k
| database_id
stringclasses 140
values | table_id
sequencelengths 1
5
| query
stringlengths 16
224
| answer
stringlengths 18
577
| difficulty
stringclasses 4
values |
|---|---|---|---|---|---|
4,100 | company_employee | [
"company"
] | What is the headquarter of the company with the largest sales? | SELECT Headquarters FROM company ORDER BY Sales_in_Billion DESC LIMIT 1 | medium |
4,101 | company_employee | [
"company"
] | Show the different headquarters and number of companies at each headquarter. | SELECT Headquarters , COUNT(*) FROM company GROUP BY Headquarters | medium |
4,102 | company_employee | [
"company"
] | Show the most common headquarter for companies. | SELECT Headquarters FROM company GROUP BY Headquarters ORDER BY COUNT(*) DESC LIMIT 1 | hard |
4,103 | company_employee | [
"company"
] | Show the headquarters that have at least two companies. | SELECT Headquarters FROM company GROUP BY Headquarters HAVING COUNT(*) >= 2 | easy |
4,104 | company_employee | [
"company"
] | 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" | hard |
4,105 | company_employee | [
"employment",
"company",
"people"
] | 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 | medium |
4,106 | company_employee | [
"employment",
"company",
"people"
] | 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 | hard |
4,107 | company_employee | [
"employment",
"company",
"people"
] | 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 | hard |
4,108 | company_employee | [
"employment",
"company",
"people"
] | 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 | hard |
4,109 | company_employee | [
"employment",
"people"
] | 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) | hard |
4,110 | company_employee | [
"company"
] | 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 | medium |
4,111 | film_rank | [
"film"
] | How many film are there? | SELECT count(*) FROM film | easy |
4,112 | film_rank | [
"film"
] | Count the number of films. | SELECT count(*) FROM film | easy |
4,113 | film_rank | [
"film"
] | List the distinct director of all films. | SELECT DISTINCT Director FROM film | easy |
4,114 | film_rank | [
"film"
] | What are the different film Directors? | SELECT DISTINCT Director FROM film | easy |
4,115 | film_rank | [
"film"
] | What is the average ticket sales gross in dollars of films? | SELECT avg(Gross_in_dollar) FROM film | easy |
4,116 | film_rank | [
"film"
] | Return the average gross sales in dollars across all films. | SELECT avg(Gross_in_dollar) FROM film | easy |
4,117 | film_rank | [
"film_market_estimation"
] | What are the low and high estimates of film markets? | SELECT Low_Estimate , High_Estimate FROM film_market_estimation | medium |
4,118 | film_rank | [
"film_market_estimation"
] | Return the low and high estimates for all film markets. | SELECT Low_Estimate , High_Estimate FROM film_market_estimation | medium |
4,119 | film_rank | [
"film_market_estimation"
] | What are the types of film market estimations in year 1995? | SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995 | easy |
4,120 | film_rank | [
"film_market_estimation"
] | Return the types of film market estimations in 1995. | SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995 | easy |
4,121 | film_rank | [
"market"
] | What are the maximum and minimum number of cities in all markets. | SELECT max(Number_cities) , min(Number_cities) FROM market | medium |
4,122 | film_rank | [
"market"
] | Return the maximum and minimum number of cities across all markets. | SELECT max(Number_cities) , min(Number_cities) FROM market | medium |
4,123 | film_rank | [
"market"
] | How many markets have number of cities smaller than 300? | SELECT count(*) FROM market WHERE Number_cities < 300 | easy |
4,124 | film_rank | [
"market"
] | Count the number of markets that have a number of cities lower than 300. | SELECT count(*) FROM market WHERE Number_cities < 300 | easy |
4,125 | film_rank | [
"market"
] | List all countries of markets in ascending alphabetical order. | SELECT Country FROM market ORDER BY Country ASC | easy |
4,126 | film_rank | [
"market"
] | What are the countries for each market, ordered alphabetically? | SELECT Country FROM market ORDER BY Country ASC | easy |
4,127 | film_rank | [
"market"
] | List all countries of markets in descending order of number of cities. | SELECT Country FROM market ORDER BY Number_cities DESC | easy |
4,128 | film_rank | [
"market"
] | What are the countries for each market ordered by decreasing number of cities? | SELECT Country FROM market ORDER BY Number_cities DESC | easy |
4,129 | film_rank | [
"film_market_estimation",
"film"
] | 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 | medium |
4,130 | film_rank | [
"film_market_estimation",
"film"
] | 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 | medium |
4,131 | film_rank | [
"film_market_estimation",
"film"
] | 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 | medium |
4,132 | film_rank | [
"film_market_estimation",
"film"
] | 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 | medium |
4,133 | film_rank | [
"film_market_estimation",
"market"
] | 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 | medium |
4,134 | film_rank | [
"film_market_estimation",
"market"
] | 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 | medium |
4,135 | film_rank | [
"film_market_estimation",
"market"
] | 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 | medium |
4,136 | film_rank | [
"film_market_estimation",
"market"
] | 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 | medium |
4,137 | film_rank | [
"film_market_estimation",
"market"
] | 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 | hard |
4,138 | film_rank | [
"film_market_estimation",
"market"
] | 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 | hard |
4,139 | film_rank | [
"film"
] | List the studios of each film and the number of films produced by that studio. | SELECT Studio , COUNT(*) FROM film GROUP BY Studio | medium |
4,140 | film_rank | [
"film"
] | How films are produced by each studio? | SELECT Studio , COUNT(*) FROM film GROUP BY Studio | medium |
4,141 | film_rank | [
"film"
] | 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 | hard |
4,142 | film_rank | [
"film"
] | 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 | hard |
4,143 | film_rank | [
"film"
] | List the names of studios that have at least two films. | SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*) >= 2 | easy |
4,144 | film_rank | [
"film"
] | What are the names of studios that have made two or more films? | SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*) >= 2 | easy |
4,145 | film_rank | [
"film_market_estimation",
"film"
] | 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) | hard |
4,146 | film_rank | [
"film_market_estimation",
"film"
] | 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) | hard |
4,147 | film_rank | [
"film"
] | 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" | hard |
4,148 | film_rank | [
"film"
] | 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" | hard |
4,149 | film_rank | [
"film"
] | 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%" | medium |
4,150 | film_rank | [
"film"
] | 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%" | medium |
4,151 | film_rank | [
"film"
] | 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" | hard |
4,152 | film_rank | [
"film"
] | Which studios have never worked with the director Walter Hill? | SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director = "Walter Hill" | hard |
4,153 | film_rank | [
"film"
] | List the studios which average gross is above 4500000. | SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000 | easy |
4,154 | film_rank | [
"film"
] | Which studios have an average gross of over 4500000? | SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000 | easy |
4,155 | film_rank | [
"film_market_estimation",
"film"
] | 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 | hard |
4,156 | film_rank | [
"film_market_estimation",
"film"
] | 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 | hard |
4,157 | film_rank | [
"film_market_estimation",
"market",
"film"
] | 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') | extra |
4,158 | film_rank | [
"film_market_estimation",
"market",
"film"
] | 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') | extra |
4,159 | cre_Doc_Tracking_DB | [
"Ref_calendar"
] | How many calendar items do we have? | SELECT count(*) FROM Ref_calendar | easy |
4,160 | cre_Doc_Tracking_DB | [
"Ref_calendar"
] | Count the number of all the calendar items. | SELECT count(*) FROM Ref_calendar | easy |
4,161 | cre_Doc_Tracking_DB | [
"Ref_calendar"
] | Show all calendar dates and day Numbers. | SELECT calendar_date , day_Number FROM Ref_calendar | medium |
4,162 | cre_Doc_Tracking_DB | [
"Ref_calendar"
] | What are all the calendar dates and day Numbers? | SELECT calendar_date , day_Number FROM Ref_calendar | medium |
4,163 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | Show the number of document types. | SELECT count(*) FROM Ref_document_types | easy |
4,164 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | How many document types are there? | SELECT count(*) FROM Ref_document_types | easy |
4,165 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | List all document type codes and document type names. | SELECT document_type_code , document_type_name FROM Ref_document_types | medium |
4,166 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | What are all the document type codes and document type names? | SELECT document_type_code , document_type_name FROM Ref_document_types | medium |
4,167 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | 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" | medium |
4,168 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | 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" | medium |
4,169 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | What is the document type code for document type "Paper"? | SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper" | easy |
4,170 | cre_Doc_Tracking_DB | [
"Ref_document_types"
] | Find the code of the document type "Paper". | SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper" | easy |
4,171 | cre_Doc_Tracking_DB | [
"All_documents"
] | 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" | medium |
4,172 | cre_Doc_Tracking_DB | [
"All_documents"
] | 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" | medium |
4,173 | cre_Doc_Tracking_DB | [
"All_documents"
] | What is the date when the document "Marry CV" was stored? | SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV" | easy |
4,174 | cre_Doc_Tracking_DB | [
"All_documents"
] | When was the document named "Marry CV" stored? Give me the date. | SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV" | easy |
4,175 | cre_Doc_Tracking_DB | [
"All_documents",
"Ref_calendar"
] | 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 | medium |
4,176 | cre_Doc_Tracking_DB | [
"All_documents",
"Ref_calendar"
] | 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 | medium |
4,177 | cre_Doc_Tracking_DB | [
"All_documents",
"Ref_document_types"
] | 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" | medium |
4,178 | cre_Doc_Tracking_DB | [
"All_documents",
"Ref_document_types"
] | 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" | medium |
4,179 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | Show the number of locations. | SELECT count(*) FROM Ref_locations | easy |
4,180 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | How many locations are listed in the database? | SELECT count(*) FROM Ref_locations | easy |
4,181 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | List all location codes and location names. | SELECT location_code , location_name FROM Ref_locations | medium |
4,182 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | What are all the location codes and location names? | SELECT location_code , location_name FROM Ref_locations | medium |
4,183 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | What are the name and description for location code x? | SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x" | medium |
4,184 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | Give me the name and description of the location with code x. | SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x" | medium |
4,185 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | What is the location code for the country "Canada"? | SELECT location_code FROM Ref_locations WHERE location_name = "Canada" | easy |
4,186 | cre_Doc_Tracking_DB | [
"Ref_locations"
] | Show the location code of the country "Canada". | SELECT location_code FROM Ref_locations WHERE location_name = "Canada" | easy |
4,187 | cre_Doc_Tracking_DB | [
"ROLES"
] | How many roles are there? | SELECT count(*) FROM ROLES | easy |
4,188 | cre_Doc_Tracking_DB | [
"ROLES"
] | Count the total number of roles listed. | SELECT count(*) FROM ROLES | easy |
4,189 | cre_Doc_Tracking_DB | [
"ROLES"
] | List all role codes, role names, and role descriptions. | SELECT role_code , role_name , role_description FROM ROLES | medium |
4,190 | cre_Doc_Tracking_DB | [
"ROLES"
] | What are all the role codes, role names, and role descriptions? | SELECT role_code , role_name , role_description FROM ROLES | medium |
4,191 | cre_Doc_Tracking_DB | [
"ROLES"
] | What are the name and description for role code "MG"? | SELECT role_name , role_description FROM ROLES WHERE role_code = "MG" | medium |
4,192 | cre_Doc_Tracking_DB | [
"ROLES"
] | Find the name and description of the role with code "MG". | SELECT role_name , role_description FROM ROLES WHERE role_code = "MG" | medium |
4,193 | cre_Doc_Tracking_DB | [
"ROLES"
] | Show the description for role name "Proof Reader". | SELECT role_description FROM ROLES WHERE role_name = "Proof Reader" | easy |
4,194 | cre_Doc_Tracking_DB | [
"ROLES"
] | What is the description of the role named "Proof Reader"? | SELECT role_description FROM ROLES WHERE role_name = "Proof Reader" | easy |
4,195 | cre_Doc_Tracking_DB | [
"Employees"
] | How many employees do we have? | SELECT count(*) FROM Employees | easy |
4,196 | cre_Doc_Tracking_DB | [
"Employees"
] | Find the number of employees we have. | SELECT count(*) FROM Employees | easy |
4,197 | cre_Doc_Tracking_DB | [
"Employees"
] | 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' | medium |
4,198 | cre_Doc_Tracking_DB | [
"Employees"
] | 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' | medium |
4,199 | cre_Doc_Tracking_DB | [
"Employees"
] | What is the id for the employee called Ebba? | SELECT employee_ID FROM Employees WHERE employee_name = "Ebba" | easy |
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