db_id stringclasses 66
values | question stringlengths 24 325 | evidence stringlengths 1 673 ⌀ | gold_query stringlengths 23 804 | db_schema stringclasses 66
values |
|---|---|---|---|---|
retail_complains | How many female clients are there older than 30? | female refers to sex = 'Female'; older than 30 refers to age > 30 | SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | State the full name of clients with server time of 20 minutes and above. | full name refers to first, middle, last; server time of 20 minutes and above refers to ser_time > '00:20:00' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE strftime('%M', T2.ser_time) > '20' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the oldest age of male clients? | oldest age refers to max(age); male refers to sex = 'Male' | SELECT MAX(age) FROM client WHERE sex = 'Male' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer. | social number refers to social; longest delay = max(subtract(Date sent to company, Date received)); days of delay = subtract(Date sent to company, Date received); company's response refers to 'Company response to consumer' | SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM cli... | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the average age of clients in South Atlantic? | in South Atlantic refers to division = 'South Atlantic'; average age refers to avg(age) | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Please list all first and last names of clients who live in New York city. | New York City refers to city = 'New York City' | SELECT first, last FROM client WHERE city = 'New York City' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the percentage of female clients in the Middle Atlantic? | female refers to sex = 'Female'; the Middle Atlantic refers to division = 'Middle Atlantic'; percentage = divide(count(client_id where sex = 'Female' and division = 'Middle Atlantic') , count(client_id where division = 'Middle Atlantic')) * 100% | SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
disney | Which director has made the most movies? | the most movies refers to MAX(COUNT(name)); | SELECT director, COUNT(name) FROM director GROUP BY director ORDER BY COUNT(name) DESC LIMIT 1 | CREATE TABLE movies_total_gross
(
MPAA_rating TEXT, -- Example Values: `G`, ``, `Not Rated`, `PG`, `R` | Value Statics: Total count 579 - Distinct count 6 - Null count 0
release_date TEXT, --
total_gross TEXT, --
foreign key (movie_title) references characters(movie_title),
movie_title TEXT, --
genre TEX... |
retail_complains | How many customers in the Northeast use Microsoft email? | the Northeast refers to Region = 'Northeast'; Microsoft email refers to email like '%@outlook.com' | SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Please calculate the number of clients by each division. | null | SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the percentage of complaints about the late fee issue whose priority is 2 in 2017? | percentage = divide(count(Complaint ID where priority = 2) , count(Complaint ID)) * 100%; in 2017 refers to year(Date received) = 2017 | SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Which city in the Midwest region has the least number of clients? | least number of clients refers to min(count(client_id)) | SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Please give the first name and phone number of the client whose complaint id is CR0922485. | first name refers to first | SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Which city in West North Central has the highest number of customers over the age of 60? | in North Central refers to Region = 'North Central'; highest number of customers refers to max(count(client_id)); over the age of 60 refers to age > 60 | SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In 2012, how many complaints about Credit card product came from clients in Omaha? | in 2012 refers to Date received LIKE'2012%'; in Omaha refers to city = 'Omaha' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Which state has the most cities? | state refers to state_abbrev; most cities refers to max(count(city)) | SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Please list the emails of the clients whose complaint date received is 7/3/2014. | 7/3/2014 refers to Date received = '2014-07-03' | SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Please list all clients' phone numbers and complaint IDs which are still in progress. | in progress refers to Company response to consumer = 'In progress' | SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Calculate the average age of clients whose response is "Closed with relief". | average age = avg(age where Company response to consumer = 'Closed with relief'); response "Closed with relief" refers to Company response to consumer = 'Closed with relief' | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'Closed with relief' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days? | in 2014 refers to Date received LIKE'2014%'; Houston refers to city = 'Houston'; delay over 5 days refers to subtract(Date sent to company, Date received) > 5; percentage = divide(count(Complaint ID where subtract(Date sent to company , Date received) > 5) , count(Complaint ID)) * 100% | SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | From 2012 to 2015, how many complaints were submitted via email from female clients? | from 2012 to 2015 refers to Date received BETWEEN 2012 AND 2015; submitted via email refers to Submitted via = 'Email'; female refers to sex = 'Female' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Give the client ID of the complaint received on April 16, 2014 and submitted through fax. | April 16, 2014 refers to Date received = '2014-04-16'; submitted through fax refers to Submitted via = 'Fax' | SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In 2015, how many complaints about Billing disputes were sent by clients in Portland? | in 2015 refers to Date received LIKE'2015%'; about Billing disputes refers to Issue = 'Billing disputes'; Portland refers to city = 'Portland' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In the complains received in 2012, how many of them are submitted through email? | received in 2012 refers to Date received LIKE '2012%'; submitted through email refers to Submitted via = 'Email' | SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation? | in year 2015 refers to Date received LIKE '2015%'; timely response refers to Timely response?" = 'Yes'; closed with an explanation refers to Company response to consumer = 'Closed with explanation' | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the full name of clients who have issue about balance transfer? | full name refers to first, middle, last; issue about balance transfer refers to Issue = 'Balance transfer' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts. | 1 star refers to Stars = 1; on March 14, 2016 refers to Date = '2016-03-14'; Newton refers to city = 'Newton'; Massachusetts refers to state_abbrev = 'MA' | SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | List date of the review of the Eagle Capital from Indianapolis, Indiana. | Eagle Capital refers to Product = 'Eagle Capital'; Indianapolis refers to city = 'Indianapolis'; Indiana refers to state_abbrev = 'IN' | SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Among the female clients that age between 20 to 40, list the date when their complaints were received. | female refers to sex = 'Female' | SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What are the issues of the complains of male clients and products from age 25 and below? | male refers to sex = 'Male'; age 25 and below refers to age < 25 | SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.age < 25 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the email address of clients who submitted their complaints via postal mail? | via postal mail refers to Submitted via = 'Postal mail' | SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | List the products involved in the complaints received on March 2017 via TOVA server. | on March 2017 refers to Date received LIKE '%03%' AND Date received LIKE '2017%' | SELECT DISTINCT T2.Product FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.server = 'TOVA' AND T2.`Date received` LIKE '2017-03%' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee? | 5 star refers to Stars = 5; Nashville refers to city = 'Nashville'; Tennessee refers to state_abbrev = 'TN' | SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Among the reviews from midwest region, what are the products that received 1 star? | 1 star refers to Stars = 1 | SELECT DISTINCT T3.Product FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.Region = 'Midwest' AND T3.Stars = 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In complaints about the credit card product, list the phone number of the oldest client. | oldest refers to max(age) | SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' ORDER BY T1.age DESC LIMIT 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | List down the issues for complaint with server time of below 10 minutes. | server time of below 10 minutes refers to ser_time < '00:10:00' | SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%M', T1.ser_time) < '10' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | In reviews of product with 5 stars, what is the percentage of the reviews coming from the division of East North Central? | 5 stars refers to Stars = 5; percentage = divide(count(division = 'East North Central', count(division)) * 100% | SELECT CAST(SUM(CASE WHEN T1.division = 'East North Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.division) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage? | 5 stars refers to Stars = 5; on December 17 2017 refers to Date = '2017-12-17' | SELECT T1.division FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 AND T2.Date = '2017-12-17' AND T2.Product = 'Eagle National Mortgage' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients. | age greater than the 60% of average age refers to age > multiply(avg(age) , 0.6) | SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client ) | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Write down the date received of complaints sent via Fax. | sent via Fax refers to Submitted via = 'Fax' | SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
retail_complains | Which product received the most complaints from elder clients? | most complaints refers to max(client_id); elder client refers to age > 65 | SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
movies_4 | How many production companies does the movie "Four Rooms" have? | movie "Four Rooms" refers to title = 'Four Rooms' | SELECT COUNT(CNAME) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' ) | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
retail_complains | In complaints received in 2014, how many of them were submitted via call? | in 2014 refers to Date received LIKE '2014%'; submitted via call refers to Submitted via = 'Phone' | SELECT COUNT(T2.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Phone' AND strftime('%Y', T1.`Date received`) = '2014' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
movies_4 | What is the title of the latest released movie produced by production company "Universal Pictures"? | "Universal Pictures" refers to company_name = 'Universal Pictures'; latest released refers to max(release_date) | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures' ORDER BY T3.release_date DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Please list the names of the production company of the movie "Four Rooms". | names of the production company refers to movie_company; movie "Four Rooms" refers to title = 'Four Rooms' | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | What was the job of Dariusz Wolski in the movie "Pirates of the Caribbean: At World's End"? | movie "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End' | SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T3.person_name = 'Dariusz Wolski' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Please list the titles of all the movie produced by production company "Universal Pictures". | "Universal Pictures" refers to company_name = 'Universal Pictures' | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | How many crew members worked as producer in the movie "Pirates of the Caribbean: At World's End"? | worked as producer refers to job = 'Producer'; "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End' | SELECT COUNT(T3.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | What is the name of the director of photography of the movie "Pirates of the Caribbean: At World's End"? | name of the director of photography refers to person_name where job = 'Director of Photography'; "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End' | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Director of Photography' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | In how many movie does Dariusz Wolski work as the director of photography? | director of photography refers to job = 'Director of Photography' | SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Please list the names of all the crew members of the movie "Pirates of the Caribbean: At World's End". | names refers to person_name; "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End' | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Please list the names of all the producers in the movie "Pirates of the Caribbean: At World's End". | names refers to person_name; producers refers to job = 'Producer'; "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End' | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | When was the release date of the latest movie in which Dariusz Wolski worked as a crew member? | release date of the latest movie refers to max(release_date) | SELECT T1.release_date FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' ORDER BY T1.release_date DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
retail_complains | What is the average age of clients whose complaint type is "TT"? | average age = avg(age where type = 'TT') | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'TT' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
movies_4 | Give the name of the movie with a revenue of 559852396. | name of the movie refers to title; revenue of 559852396 refers to revenue = '559852396' | SELECT title FROM movie WHERE revenue = 559852396 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Among the movie in which Dariusz Wolski works as the director of photography, what is the title of the one with the highest average vote? | director of photography refers to job = 'Director of Photography'; highest average vote refers to max(vote_average) | SELECT T1.title FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' ORDER BY T1.vote_average DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | What is the average revenue of the movie in which Dariusz Wolski works as the director of photography? | director of photography refers to job = 'Director of Photography'; average revenue = divide(sum(revenue), count(movie_id)) | SELECT CAST(SUM(T1.revenue) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | How many movies were directed by Michael Bay? | directed by refers to job = 'Director' | SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Michael Bay' AND T2.job = 'Director' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Among the movie in which Dariusz Wolski works as the director of photography, what is the percentage of those movie whose vote average is over 5.0? | director of photography refers to job = 'Director of Photography'; vote average is over 8.0 refers to vote_average > 5; percentage = divide(sum(movie_id) when vote_average > 5, count(movie_id)) as percentage | SELECT CAST(COUNT(CASE WHEN T1.vote_average > 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.vote_average) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | What was David Rubin's job in the movie "Days of Thunder"? | "Days of Thunder" refers to title = 'Days of Thunder' | SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'David Rubin' AND T1.title = 'Days of Thunder' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | For the movie "Land of the Dead", who is its director? | "Land of the Dead" refers to title = 'Land of the Dead'; director refers to person_name where job = 'Director' | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Land of the Dead' AND T2.job = 'Director' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
retail_complains | Write down the call id of clients whose first name start with alphabet "B". | first name start with alphabet "B" refers to first like 'B%' | SELECT T2.call_id FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first LIKE 'B%' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
beer_factory | What is the difference in the average number of sales per day of root beer brands that contain honey and that don’t contain honey. | difference in the average = SUBTRACT(DIVIDE(MULTIPLY(SUM(Honey = 'TRUE'), 1.0), COUNT(TransactionDate)), DIVIDE(MULTIPLY(SUM(Honey = 'FALSE'), 1.0), COUNT(TransactionDate))); contain honey refers to Honey = 'TRUE'; don’t contain honey refers to Honey = 'FALSE' | SELECT (CAST(SUM(CASE WHEN T1.Honey = 'TRUE' THEN 1 ELSE 0 END) AS REAL) / COUNT(DISTINCT T3.TransactionDate)) - (CAST(SUM(CASE WHEN T1.Honey <> 'TRUE' THEN 1 ELSE 0 END) AS REAL) / COUNT(DISTINCT T3.TransactionDate)) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction`... | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | Provide the most used keyword in the movies. | most used keyword refers to keyword_name where max(count(keyword_name)) | SELECT T1.keyword_name FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id GROUP BY T1.keyword_name ORDER BY COUNT(T1.keyword_name) DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What is the precise location of all paying customers with American Express? | precise location refers to Latitude, Longitude; American Express refers to CreditCardType = 'American Express'; | SELECT DISTINCT T2.Latitude, T2.Longitude FROM `transaction` AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.CreditCardType = 'American Express' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | Show the total number of keywords of the movie "I Hope They Serve Beer in Hell". | "I Hope They Serve Beer in Hell" refers to title = 'I Hope They Serve Beer in Hell'; | SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | How many female characters are there in the movie "Spider-Man 3"? | female characters refer to gender = 'Female'; "Spider-Man 3" refers to title = 'Spider-Man 3' | SELECT COUNT(*) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Spider-Man 3' AND T3.gender = 'Female' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | In the reviews of September 2014. Which brand of beers obtained the highest star ratings? | September 2014 refers to ReviewDate LIKE '2014-09%'; brand of beers refers to BrandName; highest star ratings refers to MAX(StarRating); | SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2014-09-01' AND '2014-09-30' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | What is the production company of the movie "Crazy Heart"? | movie "Crazy Heart" refers to title = 'Crazy Heart'; production company refers to company_name | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Crazy Heart' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | Tell the number of movies made by Paramount Animation. | Paramount Animation refers to company_name = 'Paramount Animation' | SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Paramount Animation' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | From which cities are the customers who gave 5 stars in their reviews in November 2012? | 5 stars refers to StarRating = 5; in November 2012 refers to ReviewDate LIKE '2012-11%'; | SELECT DISTINCT T1.City FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2012-11-01' AND '2012-11-30' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | How many producers does the movie "The Amityville Horror" have? | producers refers to job = 'Producer'; "The Amityville Horror" refers to title = 'The Amityville Horror' | SELECT COUNT(T2.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Amityville Horror' AND T2.job = 'Producer' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | Find and list the full name and email of the customers who used American Express cards in Sac State Union. | full name = First, Last; American Express cards refers to CreditCardType = 'American Express'; Sac State Union refers to LocationName = 'Sac State Union'; | SELECT DISTINCT T1.First, T1.Last, T1.Email FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.LocationName = 'Sac State Union' AND T2.CreditCardType = 'American Express' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | For all the movies which were produced by Cruel and Unusual Films, which one has the most popularity? | produced by Cruel and Unusual Films refers to company_name = 'Cruel and Unusual Films'; most popularity refers to max(popularity) | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Cruel and Unusual Films' ORDER BY T3.popularity DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
retail_complains | How many clients who live in New York City have the complaint outcome as "AGENT"? | New York City refers to city = 'New York City' | SELECT COUNT(T2.`rand client`) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.city = 'New York City' AND T2.outcome = 'AGENT' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
beer_factory | What credit card is the most used in the purchase of non-alcoholic beer? | credit card that is the most used refers to MAX(COUNT(CreditCardType)); non-alcoholic beer refers to Alcoholic = 'FALSE'; | SELECT T2.CreditCardType FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T3.Alcoholic = 'FALSE' GROUP BY T2.CreditCardType ORDER BY COUNT(T2.CreditCardType) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | Calculate the average budget of the movies directed by Jaume Collet-Serra. | directed by refers to job = 'Director'; average budget = AVG(budget) | SELECT CAST(SUM(T1.budget) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jaume Collet-Serra' AND T2.job = 'Director' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | How many Folsom customers prefer to pay with Visa? | Folsom refers to City = 'Folsom'; Visa refers to CreditCardType = 'Visa'; | SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.City = 'Folsom' AND T2.CreditCardType = 'Visa' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | Give the number of movies with "saving the world" as the keyword. | "saving the world" as the keyword refers to keyword_name = 'saving the world' | SELECT COUNT(T2.movie_id) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id WHERE keyword_name = 'saving the world' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What brand of beer has been the worst rated most times? | brand of beer refers to BrandName; worst rated most times refers to MAX(COUNT(StarRating = 1)); | SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T2.BrandID = T1.BrandID WHERE T2.StarRating = 1 GROUP BY T1.BrandName ORDER BY COUNT(T1.BrandName) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | For the movie "Reign of Fire", which department was Marcia Ross in? | movie "Reign of Fire" refers to title = 'Reign of Fire'; which department refers to department_name | SELECT T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T3.person_name = 'Marcia Ross' AND T1.title = 'Reign of Fire' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | What is the title of the movie that was made with the most money and resources? | made with the most money and resources refers to max(budget) | SELECT title FROM movie ORDER BY budget DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What is the full name of the customer who gave a 5-star rating and commented "The quintessential dessert root beer. No ice cream required" on his review? | full name = First, Last; 5-star rating refers to StarRating = 5; commented "The quintessential dessert root beer. No ice cream required" refers to Review = 'The quintessential dessert root beer. No ice cream required.'; | SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 AND T2.Review = 'The quintessential dessert root beer. No ice cream required.' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
retail_complains | List down the full name of clients who have disputed the response from company. | full name refers to first, middle, last; disputed the response refers to Consumer disputed? = 'Yes' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Consumer disputed?` = 'Yes' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
beer_factory | What brands of beer has Peg Winchester consumed? | brands of beer refers to BrandName; | SELECT T3.BrandName FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T1.First = 'Peg' AND T1.Last = 'Winchester' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | When was the first movie released? | when the first movie refers to release_date where min(release_date) | SELECT MIN(release_date) FROM movie WHERE movie_status = 'Released' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What is the precise location of zip code 95819? | precise location = Latitude, Longitude; | SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.ZipCode = 95819 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | What is the percentage of male characters in the movie "Bride Wars"? | male refers to gender = 'Male'; "Bride Wars" refers to title = 'Bride Wars'; percentage = divide(sum(gender = 'Male'), count(gender)) * 100 as percentage | SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Bride Wars' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | How many movies have made at least 1 Billion at the box office? | have made at least 1 Billion at the box office refers to revenue > 1000000000 | SELECT COUNT(movie_id) FROM movie WHERE revenue > 1000000000 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What is the name of all the customers who have ever given a 5-star review? | name of the customer = First, Last; 5-star review refers to StarRating = 5; | SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
retail_complains | What is the product complained by Alexander Bronx Lewis? | null | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Alexander' AND T1.middle = 'Bronx' AND T1.last = 'Lewis' | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
movies_4 | Provide the title of the movie that is most-liked by a large number of people. | most-liked by a large number of people refers to max(popularity) | SELECT title FROM movie ORDER BY popularity DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What star rating is the most common for beers containing corn syrup? | most common refers to MAX(COUNT(StarRating)); containing corn syrup refers to CornSyrup = 'TRUE'; | SELECT T2.StarRating FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.CornSyrup = 'TRUE' GROUP BY T2.StarRating ORDER BY COUNT(T2.StarRating) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
retail_complains | What are the complaint id of client who were born in 1931? | in 1931 refers to year = 1931 | SELECT T2.`Complaint ID` FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.year = 1931 | CREATE TABLE state
(
Region TEXT, -- Example Values: `South`, `West`, `Northeast`, `Midwest` | Value Statics: Total count 48 - Distinct count 4 - Null count 0
State TEXT, --
StateCode TEXT constraint state_pk primary key,
);
CREATE TABLE callcenterlogs
(
ser_time TEXT, --
"Complaint ID" TEXT, --
ser_exi... |
movies_4 | What is the name of the production company that made the most movies? | name of the production company refers to company_name; most movies refers to max(count(company_name)) | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | How many crew are named John Young? | null | SELECT COUNT(person_id) FROM person WHERE person_name = 'John Young' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
movies_4 | How many movies did Universal Studios release? | Universal Studios refers to company_name = 'Universal Studios' | SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Universal Studios' | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | What is the average unit profit for wholesalers of canned beers? | average unit profit = DIVIDE(SUM(SUBTRACT(CurrentRetailPrice, WholesaleCost)), COUNT(ContainerType = 'Can')); canned beers refers to ContainerType = 'Can'; | SELECT AVG(T2.CurrentRetailPrice - T2.WholesaleCost) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.ContainerType = 'Can' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
movies_4 | Who is the person associated with the crew id 1325273? | Who is the person refers to person_name; crew id 1325273 refers to person_id = 1325273 | SELECT person_name FROM person WHERE person_id = 1325273 | CREATE TABLE production_company
(
company_name TEXT default NULL, --
company_id INTEGER not null primary key,
);
CREATE TABLE gender
(
gender TEXT default NULL, -- Example Values: `Unspecified`, `Female`, `Male` | Value Statics: Total count 3 - Distinct count 3 - Null count 0
gender_id INTEGER not null primar... |
beer_factory | At what latitude is the Thomas Kemper brand beer consumed the most? | Thomas Kemper refers to BrandName = 'Thomas Kemper'; latitude the beer is consumed the most refers to MAX(COUNT(Latitude)); | SELECT T3.Latitude FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN geolocation AS T3 ON T1.LocationID = T3.LocationID WHERE T2.BrandName = 'Thomas Kemper' GROUP BY T3.Latitude ORDER BY COUNT(T1.BrandID) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.