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CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the birth date of the youngest client? | SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many times does the consumer have no dispute over a non-timely response from the company? | SELECT COUNT(`Timely response?`) FROM events WHERE `Timely response?` = 'No' AND `Consumer disputed?` = 'No' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many of the complaints are longer than 15 minutes? | SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the most common issue for the highest priority complaints? | SELECT T1.Issue FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.priority = 2 GROUP BY T1.Issue ORDER BY COUNT(T1.Issue) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the full names of all clients who live in the Pacific division. | SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the social number of the person who made the most complaints? | SELECT T1.social FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID GROUP BY T1.client_id ORDER BY COUNT(T1.client_id) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which is the city where most of the 1 star reviews come from? | SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 1 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the address of the client who made a complaint via postal mail on March 14, 2012? | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the female clients, how many of them have a complaint with a priority of 1? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List all the server of the phone complaints with a late response from the company. | SELECT DISTINCT T2.server FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.`Submitted via` = 'Phone' AND T1.`Timely response?` = 'No' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List all the issues of the complaints made by Kaitlyn Eliza Elliott. | SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kaitlyn' AND T1.middle = 'Eliza' AND T1.last = 'Elliott' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the name of the state that the client with the email "[email protected]" lives in? | SELECT T3.state FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T3.email = '[email protected]' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which region has the second most clients? | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Who is the owner of the final phone number for the complaints on server "MORIAH" on 9/11/2013? | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'MORIAH' AND T2.`Date received` = '2013-09-11' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Compute the average time in minute for each age group | SELECT CAST(SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END) AS teenagerAverageMins, CAST(SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adultAverageMins , CAST(SUM(CASE WHEN T1.age > 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elderAverageMins FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What percentage of complaints are from the elderly? | SELECT CAST(SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Calculate the percentage of male clients from Indianapolis City. | SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the teenager clients who use Google account and Microsoft account, which group of client is more than the other? | SELECT CASE WHEN SUM(CASE WHEN email LIKE '%@gmail.com' THEN 1 ELSE 0 END) > SUM(CASE WHEN email LIKE '%@outlook.com' THEN 1 ELSE 0 END) THEN 'Google account' ELSE 'Microsoft account' END FROM client WHERE age BETWEEN 13 AND 19 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the full name of client whose email address is [email protected]? | SELECT first, middle, last FROM client WHERE email = '[email protected]' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the first name of clients who have the highest priority? | SELECT T1.first FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = ( SELECT MAX(priority) FROM callcenterlogs ) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List down the email of client whose complaint is type "PS". | SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the elderlies, state the last name of whose complaint is handled in server YIFAT? | SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.age > 65 AND T2.server = 'YIFAT' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many clients who live in New York City have the complaint outcome as "AGENT"? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List down the full name of clients who have disputed the response from company. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What are the complaint id of client who were born in 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Calculate the percentage of complaints made by Google account client in server ZOHARI. | SELECT CAST(SUM(CASE WHEN T1.email LIKE '%@gmail.com' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'ZOHARI' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | State the full name of clients with server time of 20 minutes and above. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Pick 5 clients with 0 priority and write down their last name. | SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = 0 LIMIT 5 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Write down the call id of clients whose first name start with alphabet "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%' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the product complained by Alexander Bronx Lewis? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | State the first name of male clients who did not receive timely response from the call center. | SELECT T1.first FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.sex = 'Male' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which product received the most complaints from elder clients? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Complaint about Credit Card mostly came from clients of which age group? | SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List down the issues for complaint with server time of below 10 minutes. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Write down the date received of complaints sent 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the full name of clients who have issue about 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the email address of clients who submitted their complaints 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Calculate the average age of clients whose response is "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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the average age of clients whose complaint type is "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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Write the complaint ID, call ID, and final phone number of complaints through AVIDAN server from 1/1/2014 to 12/30/2014. | SELECT `Complaint ID`, call_id, phonefinal FROM callcenterlogs WHERE strftime('%Y', `Date received`) = '2014' AND server = 'AVIDAN' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Between 1/1/2017 and 4/1/2017, what is the average server time of calls under the server DARMON? | SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many times per year does a credit card customer complain about overlimit fees? | SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old? | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Give me the full birthdate, email and phone number of the youngest client in Indianapolis . | SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order. | SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the longest server time when the call is about the issue of arbitration? | SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Give me the social number and state of the client whose phone number is 100-121-8371. | SELECT T1.social, T1.state 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 T1.phone = '100-121-8371' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the full names and phone numbers of clients that were from the Pacific. | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | 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. | 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 client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 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`)) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many female clients are there older than 30? | SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list all first and last names of clients who live in New York city. | SELECT first, last FROM client WHERE city = 'New York City' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the oldest age of male clients? | SELECT MAX(age) FROM client WHERE sex = 'Male' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please calculate the number of clients by each division. | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the percentage of female clients in the Middle Atlantic? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the average age of clients in South Atlantic? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which city in the Midwest region has the least number of clients? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many customers in the Northeast use Microsoft email? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which city in West North Central has the highest number of customers over the age of 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the percentage of complaints about the late fee issue whose priority is 2 in 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which state has the most cities? | SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please give the first name and phone number of the client whose complaint id is CR0922485. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list the emails of the clients whose complaint date received is 7/3/2014. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In 2012, how many complaints about Credit card product came from clients in 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | From 2012 to 2015, how many complaints were submitted via email from female clients? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list all clients' phone numbers and complaint IDs which are still 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In 2015, how many complaints about Billing disputes were sent by clients in 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In the complains received in 2012, how many of them are submitted through email? | SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Give the client ID of the complaint received on April 16, 2014 and submitted through 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List date of the review of the Eagle Capital from Indianapolis, Indiana. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the complaints received in year 2015, what is total number of complaints timely response and closed with an 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the female clients that age between 20 to 40, list the date when their complaints were received. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts. | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What are the issues of the complains of male clients and products from age 25 and below? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the reviews from midwest region, what are the products that received 1 star? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the products involved in the complaints received on March 2017 via TOVA server. | 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%' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In complaints about the credit card product, list the phone number of the oldest client. | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In complaints received in 2014, how many of them were submitted via call? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients. | 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 ) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In reviews of product with 5 stars, what is the percentage of the reviews coming from the division of East North Central? | 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 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Please list the names of the production company of the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many production companies does the movie "Four Rooms" have? | 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' ) | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Please list the titles of all the movie produced by production company "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the title of the latest released movie produced by production company "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' ORDER BY T3.release_date DESC LIMIT 1 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the name of the director of photography of the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What was the job of Dariusz Wolski in the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Please list the names of all the crew members of the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many crew members worked as producer in the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Please list the names of all the producers in the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | In how many movie does Dariusz Wolski work as the 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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | 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? | 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 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | When was the release date of the latest movie in which Dariusz Wolski worked as a crew member? | 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 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | 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? | 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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What is the average revenue of the movie in which Dariusz Wolski works as the director of photography? | 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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Give the name of the movie with a revenue of 559852396. | SELECT title FROM movie WHERE revenue = 559852396 | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | What was David Rubin's job in the movie "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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | How many movies were directed by Michael Bay? | 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' | bird |
CREATE TABLE movies_4 (country_id integer, country_iso_code text, country_name text, department_id integer, department_name text, gender_id integer, gender text, genre_id integer, genre_name text, keyword_id integer, keyword_name text, language_id integer, language_code text, language_name text, role_id integer, language_role text, movie_id integer, title text, budget integer, homepage text, overview text, popularity real, release_date date, revenue integer, runtime integer, movie_status text, tagline text, vote_average real, vote_count integer, movie_id integer, genre_id integer, movie_id integer, language_id integer, language_role_id integer, person_id integer, person_name text, movie_id integer, person_id integer, department_id integer, job text, company_id integer, company_name text, movie_id integer, country_id integer, movie_id integer, person_id integer, character_name text, gender_id integer, cast_order integer, movie_id integer, keyword_id integer, movie_id integer, company_id integer) | Show the total number of keywords of the movie "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' | bird |
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