input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.fname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T2.job_desc = 'Managing Editor'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.max_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.hire_date LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.city FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id GROUP BY T2.city ORDER BY SUM(T1.qty) DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.price FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id ORDER BY T1.qty DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.stor_name FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T3.title = 'Life Without Fear'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT COUNT(T1.stor_id) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.country FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Life Without Fear'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T1.price DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT COUNT(DISTINCT T1.pub_id) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'USA' AND T1.price > 15; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id ORDER BY T2.qty DESC LIMIT 3; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT SUM(T1.qty) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts' AND T3.type = 'business'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT CAST(SUM(T2.qty) AS REAL) / COUNT(T1.title_id) FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T1.title = 'Life Without Fear'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT AVG(T2.job_lvl), T1.max_lvl - AVG(T2.job_lvl) FROM jobs AS T1 INNER JOIN employee AS T2 ON T1.job_id = T2.job_id WHERE T1.job_desc = 'Managing Editor' GROUP BY T2.job_id, T1.max_lvl; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT type FROM titles ORDER BY advance DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT royalty FROM titles ORDER BY ytd_sales DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT job_lvl FROM employee WHERE lname = 'O''Rourke'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT emp_id FROM employee WHERE minit = '' ORDER BY job_lvl DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.contract FROM authors AS T1 INNER JOIN titleauthor AS T2 ON T1.au_id = T2.au_id INNER JOIN titles AS T3 ON T2.title_id = T3.title_id WHERE T3.title = 'Sushi, Anyone?'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.fname, T1.minit, T1.lname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.job_lvl DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.job_desc FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Pedro' AND T1.minit = 'S' AND T1.lname = 'Afonso'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.max_lvl - T1.job_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Diego' AND T1.minit = 'W' AND T1.lname = 'Roel'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1994-09-14'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT DISTINCT T1.type FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1993-05-29'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.pr_info FROM pub_info AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'France'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Silicon Valley Gastronomic Treats'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T2.city FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.fname = 'Victoria' AND T1.minit = 'P' AND T1.lname = 'Ashworth'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT COUNT(T1.ord_num) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T2.city = 'Remulade'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT CAST(SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) - SUM(CASE WHEN T2.city = 'Portland' THEN qty END) AS REAL) * 100 / SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE STRFTIME('%Y', T1.ord_date) = '1993'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT CAST(SUM(CASE WHEN T2.job_desc = 'publisher' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.job_desc = 'designer' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.job_id) FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT fname, minit, lname FROM employee WHERE STRFTIME('%Y', hire_date) BETWEEN '1990' AND '1995' ORDER BY job_lvl DESC; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.royalty > ( SELECT CAST(SUM(royalty) AS REAL) / COUNT(title_id) FROM roysched ); |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T2.ord_date LIKE '1994%' AND T2.Qty < ( SELECT CAST(SUM(T4.qty) AS REAL) / COUNT(T3.title_id) FROM titles AS T3 INNER JOIN sales AS T4 ON T3.title_id = T4.title_id ); |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'New Moon Books' ORDER BY T1.price; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id WHERE T2.country = 'USA' ORDER BY T1.royalty DESC; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT (CAST(SUM(CASE WHEN T2.country = 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T2.country != 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country != 'USA' THEN 1 ELSE 0 END)) FROM titles AS T1 INNER JOIN publishers AS T2 O... |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT (CAST(SUM(CASE WHEN T1.country = 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.country != 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country != 'USA' THEN 1 ELSE 0 END)) FROM publishers AS T1 INNER JOIN employee AS T2 ON T1... |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.title, T2.pub_name, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Helpful hints on how to use your electronic resources to the best advantage.'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.title, T2.pub_name, T1.ytd_sales FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Carefully researched study of the effects of strong emotions on the body. Metabolic charts included.'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ T... | SELECT T1.title FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id INNER JOIN publishers AS T3 ON T1.pub_id = T3.pub_id WHERE T2.qty > ( SELECT CAST(SUM(qty) AS REAL) / COUNT(title_id) FROM sales ) AND T3.state = 'CA' ORDER BY T2.qty DESC LIMIT 5; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT `Date received` FROM callcenterlogs WHERE ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ); |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT MIN(ser_time) FROM callcenterlogs WHERE `Date received` = '2017-03-22'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CASE WHEN SUM(CASE WHEN `Complaint ID` = 'CR2400594' THEN priority END) > SUM(CASE WHEN `Complaint ID` = 'CR2405641' THEN priority END) THEN 'CR2400594' ELSE 'CR2405641' END FROM callcenterlogs; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT first, middle, last FROM client WHERE year > 1990; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' AND T2.`Date received` = '2014-07-03'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', 'Empty') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT 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`)) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_... |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | 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.`Date received` = '2017-03-27' AND T2.server = 'MICHAL'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T2.ser_time FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first = 'Rachel' AND T1.last = 'Hicks' AND T2.`Date received` = '2017-03-27'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T2.Issue) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Deposits and withdrawals' AND T1.city = 'New York City'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | 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.`Company response to consumer` = 'In progress'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.city) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.city = 'New York City'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) = '2016' AND T1.sex = 'Male' AND T2.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' AND T1.sex = 'Male'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CAST(COUNT(T2.`Complaint ID`) AS REAL) / 3 AS average FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2015' AND '2017' AND T1.city = 'New York City' AND T2.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT 100.0 * (SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2017' THEN 1 ELSE 0 END) - SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END)) / SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Clien... |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.ser_time FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Client_ID = 'C00007127' AND T1.`Date received` = '2017-02-22'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.email = 'wyatt.collins@gmail.com'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT DISTINCT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lennox' AND T1.middle = 'Oliver' AND T1.last = 'Drake' AND T1.sex = 'Male'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T2.`Sub-issue` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Gunner' AND T1.middle = 'Omer' AND T1.last = 'Fuller' AND T1.sex = 'Male'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', '') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lyric' AND T1.middle = 'Emely' AND T1.last = 'Taylor' AND T1.sex = 'Female' AND T2.`Date received` = '2016-05-20'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT 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`)) AS days FROM client AS T1 INNER JOIN events AS T2 ON T1... |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T2.district_id, T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Date = '2018-09-11'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.Product FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' AND T1.Date = '2016-10-07'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T2.city = 'Little Rock' AND T1.Date = '2013-04-04'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.month, T1.day FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0217298'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0100432'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | 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 events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2017-03-27'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CAST(SUM(CASE WHEN T2.`Consumer consent provided?` = 'Consent provided' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Consumer consent provided?`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.first = 'Mason' AND T1.middle = 'Javen' AND T1.last = 'Lopez'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(`Complaint ID`) FROM callcenterlogs WHERE `Date received` LIKE '2017-01%' AND priority = ( SELECT MAX(priority) FROM callcenterlogs ); |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT state FROM state WHERE Region = 'South'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.outcome = 'HANG'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T3.Region) AS average 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'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Fax'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T2.division FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T1.Stars > ( SELECT AVG(Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id ); |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.age BETWEEN 12 AND 20 AND T2.division = 'Mountain'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T2.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year BETWEEN 1980 AND 2000 AND T1.sex = 'Male' AND T2.`Submitted via` = 'Referral'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T3.`Submitted via` FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.state = 'FL' GROUP BY T1.`Complaint ID` ORDER BY COUNT(T1.`Complaint ID`) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT STRFTIME('%Y', T3.`Date received`) , CAST(SUM(CASE WHEN T3.`Company response to consumer` = 'Closed with explanation' THEN 1 ELSE 0 END) AS REAL) / COUNT(T3.`Complaint ID`) AS average FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID`... |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CAST(SUM(CASE WHEN T2.`Consumer disputed?` = 'Yes' AND T1.city = 'Houston' 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; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Servicemember' AND T1.city = 'Syracuse'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT CAST(SUM(CASE WHEN T1.priority = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.priority) FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id INNER JOIN state AS T4 ON T3.state_abbrev = T4.StateCode WHERE T4.State = 'Ca... |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT (CAST(SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.age > 65 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END)) AS difference FROM client AS T1 INNER JOIN district AS T2 O... |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT `Complaint ID` FROM callcenterlogs ORDER BY ser_time DESC LIMIT 3; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(email) FROM client WHERE email NOT LIKE '%@gmail.com'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT Client_ID FROM events WHERE `Consumer consent provided?` = 'N/A' OR 'Consumer consent provided?' IS NULL OR 'Consumer consent provided?' = ''; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT `Complaint ID` FROM events WHERE strftime('%J', `Date sent to company`) - strftime('%J', `Date received`) = ( SELECT MAX(strftime('%J', `Date sent to company`) - strftime('%J', `Date received`)) FROM events WHERE `Date sent to company` = '2014-09-25' ) AND `Date sent to company` = '2014-09-25'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT DISTINCT `Complaint ID` FROM callcenterlogs WHERE priority = 2 ORDER BY `Date received` DESC; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(outcome) FROM callcenterlogs WHERE outcome != 'AGENT'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Product = 'Credit card' AND T1.server = 'SHARON'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T3.Region FROM reviews 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.Stars = 1 GROUP BY T3.Region ORDER BY COUNT(T3.Region) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT T1.year FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Sub-product` = '(CD) Certificate of deposit' GROUP BY T1.year ORDER BY COUNT(T1.year) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T1.Issue) FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.Issue = 'Billing disputes' AND T3.division = 'Mountain'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEG... | SELECT COUNT(T3.sex) 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 T1.state = 'Massachusetts' AND T3.sex = 'Male'; |
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