input stringlengths 201 2.7k | output stringlengths 24 744 |
|---|---|
[INST] Here is a database schema:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
or... | 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:
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEG... | 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:
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEG... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
or... | 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:
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEG... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
or... | 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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
Please write me a SQL statement that answers the followin... | SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1; |
[INST] Here is a database schema:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
Please write me a SQL statement that answers the followin... | SELECT type FROM titles ORDER BY advance DESC LIMIT 1; |
[INST] Here is a database schema:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
Please write me a SQL statement that answers the followin... | SELECT royalty FROM titles ORDER BY ytd_sales DESC LIMIT 1; |
[INST] Here is a database schema:
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
Please write me a SQL statement that answers the followin... | SELECT job_lvl FROM employee WHERE lname = 'O''Rourke'; |
[INST] Here is a database schema:
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
Please write me a SQL statement that answers the followin... | 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 ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
pri... | 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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
or... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
or... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
Please write me a SQL statement that answers the following question: Tell ... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub... | 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:
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_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:
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = pub... | 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:
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
Please write me a SQL statement that answers the followin... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.ti... | 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:
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
or... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
j... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT first, middle, last FROM client WHERE year > 1990; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC; |
[INST] Here is a database schema:
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which product got the most five stars, and how many? [/INST] ... | 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 ]
Please write me a SQL statement that answers the following question: List all the states in the South region. [/INST] [/INST] | SELECT state FROM state WHERE Region = 'South'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
addre... | 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:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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 ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
addre... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT COUNT(email) FROM client WHERE email NOT LIKE '%@gmail.com'; |
[INST] Here is a database schema:
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 [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
... | SELECT COUNT(outcome) FROM callcenterlogs WHERE outcome != 'AGENT'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Prod... | 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:
client :
client_id [ TEXT ] primary_key
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 ... | 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 ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
addre... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT COUNT(T2.age) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle National Mortgage' AND T1.Stars = 1 AND T2.age < 35; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
addre... | SELECT COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T1.state_abbrev = T3.StateCode WHERE T2.last = 'Alvarado' AND T2.state = 'MD'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT COUNT(T1.Reviews) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.age BETWEEN 30 AND 50 AND T1.Reviews LIKE '%great%'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Prod... | SELECT CAST(SUM(T3.Stars) AS REAL) / COUNT(T3.Stars) AS average 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.State = 'Oregon'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk'; |
[INST] Here is a database schema:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Kansas City' AND T1.Stars = 1; |
[INST] Here is a database schema:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | SELECT T2.state_abbrev FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 GROUP BY T2.state_abbrev ORDER BY COUNT(T2.state_abbrev) DESC LIMIT 1; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Noah' AND T1.last = 'Thompson'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year > 2005; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT CAST(SUM(CASE WHEN T1.sex = 'Male' 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.Product = 'Credit card'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1; |
[INST] Here is a database schema:
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 [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
... | SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
addre... | 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 = 'skylar.ramirez@gmail.com'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT first, middle, last FROM client WHERE email = 'emily.garcia43@outlook.com'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | 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; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
addre... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT first, last FROM client WHERE city = 'New York City'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | SELECT MAX(age) FROM client WHERE sex = 'Male'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
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 ... | 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'; |
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