1sf/bird-sql-train-with-schema huggingface dataset:
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days?
Evidence: 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%
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: In the complains received in 2012, how many of them are submitted through email?
Evidence: received in 2012 refers to Date received LIKE '2012%'; submitted through email refers to Submitted via = 'Email'
SQL: SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: Give the client ID of the complaint received on April 16, 2014 and submitted through fax.
Evidence: April 16, 2014 refers to Date received = '2014-04-16'; submitted through fax refers to Submitted via = 'Fax'
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: List date of the review of the Eagle Capital from Indianapolis, Indiana.
Evidence: Eagle Capital refers to Product = 'Eagle Capital'; Indianapolis refers to city = 'Indianapolis'; Indiana refers to state_abbrev = 'IN'
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation?
Evidence: 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'
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: Among the female clients that age between 20 to 40, list the date when their complaints were received.
Evidence: female refers to sex = 'Female'
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts.
Evidence: 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'
SQL: 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
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee?
Evidence: 5 star refers to Stars = 5; Nashville refers to city = 'Nashville'; Tennessee refers to state_abbrev = 'TN'
SQL: 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
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: What are the issues of the complains of male clients and products from age 25 and below?
Evidence: male refers to sex = 'Male'; age 25 and below refers to age < 25
SQL: 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
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: Among the reviews from midwest region, what are the products that received 1 star?
Evidence: 1 star refers to Stars = 1
SQL: 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
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: List the products involved in the complaints received on March 2017 via TOVA server.
Evidence: on March 2017 refers to Date received LIKE '%03%' AND Date received LIKE '2017%'
SQL: 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%'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage?
Evidence: 5 stars refers to Stars = 5; on December 17 2017 refers to Date = '2017-12-17'
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: In complaints about the credit card product, list the phone number of the oldest client.
Evidence: oldest refers to max(age)
SQL: 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
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: In complaints received in 2014, how many of them were submitted via call?
Evidence: in 2014 refers to Date received LIKE '2014%'; submitted via call refers to Submitted via = 'Phone'
SQL: 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'
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients.
Evidence: age greater than the 60% of average age refers to age > multiply(avg(age) , 0.6)
SQL: 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 )
Database: retail_complains
Tables: state, callcenterlogs, client, district, events, reviews
Columns (table index, column name): -1, *, 0, StateCode, 0, State, 0, Region, 1, Date received, 1, Complaint ID, 1, rand client, 1, phonefinal, 1, vru+line, 1, call_id, 1, priority, 1, type, 1, outcome, 1, server, 1, ser_start, 1, ser_exit, 1, ser_time, 2, client_id, 2, sex, 2, day, 2, month, 2, year, 2, age, 2, social, 2, first, 2, middle, 2, last, 2, phone, 2, email, 2, address_1, 2, address_2, 2, city, 2, state, 2, zipcode, 2, district_id, 3, district_id, 3, city, 3, state_abbrev, 3, division, 4, Date received, 4, Product, 4, Sub-product, 4, Issue, 4, Sub-issue, 4, Consumer complaint narrative, 4, Tags, 4, Consumer consent provided?, 4, Submitted via, 4, Date sent to company, 4, Company response to consumer, 4, Timely response?, 4, Consumer disputed?, 4, Complaint ID, 4, Client_ID, 5, Date, 5, Stars, 5, Reviews, 5, Product, 5, district_id
Question: In reviews of product with 5 stars, what is the percentage of the reviews coming from the division of East North Central?
Evidence: 5 stars refers to Stars = 5; percentage = divide(count(division = 'East North Central', count(division)) * 100%
SQL: 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
Database: movies_4
Tables: country, department, gender, genre, keyword, language, language_role, movie, movie_genres, movie_languages, person, movie_crew, production_company, production_country, movie_cast, movie_keywords, movie_company
Columns (table index, column name): -1, *, 0, country_id, 0, country_iso_code, 0, country_name, 1, department_id, 1, department_name, 2, gender_id, 2, gender, 3, genre_id, 3, genre_name, 4, keyword_id, 4, keyword_name, 5, language_id, 5, language_code, 5, language_name, 6, role_id, 6, language_role, 7, movie_id, 7, title, 7, budget, 7, homepage, 7, overview, 7, popularity, 7, release_date, 7, revenue, 7, runtime, 7, movie_status, 7, tagline, 7, vote_average, 7, vote_count, 8, movie_id, 8, genre_id, 9, movie_id, 9, language_id, 9, language_role_id, 10, person_id, 10, person_name, 11, movie_id, 11, person_id, 11, department_id, 11, job, 12, company_id, 12, company_name, 13, movie_id, 13, country_id, 14, movie_id, 14, person_id, 14, character_name, 14, gender_id, 14, cast_order, 15, movie_id, 15, keyword_id, 16, movie_id, 16, company_id
Question: Please list the names of the production company of the movie "Four Rooms".
Evidence: names of the production company refers to movie_company; movie "Four Rooms" refers to title = 'Four Rooms'
SQL: 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'