input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT COUNT(T1.title) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.total_fat - T2.sat_fat DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.source = 'National Potato Board' ORDER BY T2.calories DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T2.recipe_id, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id GROUP BY T2.recipe_id ORDER BY COUNT(T2.ingredient_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.name, CAST(COUNT(T2.ingredient_id) AS FLOAT) * 100 / ( SELECT COUNT(T2.ingredient_id) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id ) AS "percentage" FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id GROUP BY T2.ingredient_id ORDER ... |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.total_fat DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'almond extract'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Tomato-Cucumber Relish'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Idaho Potato Supreme'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id WHERE T2.max_qty = T2.min_qty ORDER BY T3.carbo DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id ORDER BY T3.vitamin_a DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T3.name, T2.max_qty FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.servings = 7; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT CAST(SUM(CASE WHEN T2.sodium < 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.source = 'The California Tree Fruit Agreement'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T2.unit = 'slice(s)'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT COUNT(*) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T1.category = 'canned dairy'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'lima beans'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT CAST(SUM(CASE WHEN T1.servings >= 10 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'sea bass steak'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T2.total_fat FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT pcnt_cal_prot FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Raspberry Chiffon Pie'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.alcohol = 0; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT AVG(T1.vitamin_c) FROM Nutrition AS T1 INNER JOIN Recipe AS T2 ON T2.recipe_id = T1.recipe_id WHERE T2.title LIKE '%cake%'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.category = 'dairy' AND T1.servings > 10; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.calories DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT COUNT(T2.recipe_id) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id WHERE T1.category NOT LIKE '%dairy%'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T3.name, T3.category FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Apricot Yogurt Parfaits'; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.max_qty <> T2.min_qty; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id ORDER BY T1.cook_min DESC LIMIT 1; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT CAST(SUM(CASE WHEN T1.cook_min < 20 AND T2.cholestrl = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id; |
[INST] Here is a database schema:
Ingredient :
ingredient_id [ INTEGER ] primary_key
category [ TEXT ]
name [ TEXT ]
plural [ TEXT ]
Recipe :
recipe_id [ INTEGER ] primary_key
title [ TEXT ]
subtitle [ TEXT ]
servings [ INTEGER ]
yield_unit [ TEXT ]
prep_min [ INTEGER ]
cook_min [ INTEGER ]
stnd_min [ INTEGER ]
source... | SELECT CAST(SUM(CASE WHEN T4.calories > 200 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id INNER JOIN Nutrition AS T4 ON T4.recipe_id = T1.recipe_id WHERE T3.category = 'cheese'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT firstname, lastname FROM employee ORDER BY salary DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee WHERE performance = 'Good'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT ssn FROM employee WHERE gender = 'M' AND CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) > 70000; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT educationrequired FROM position WHERE positiontitle = 'Regional Manager'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT positiontitle FROM position WHERE positiontitle = 'Account Representative' OR positiontitle = 'Trainee' ORDER BY minsalary ASC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.locationcity FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.lastname = 'Adams' AND T1.firstname = 'Sandy'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.state = 'NY' AND T1.performance = 'Good'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.officephone FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.lastname = 'Adams' AND T1.firstname = 'Sandy'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.address = '450 Peachtree Rd' AND T1.gender = 'M'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Account Representative'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) - CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL) AS diff FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.lastname = 'Johnson' AND T1.firstname = 'James'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Trainee' AND T2.state = 'NY'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE (T1.lastname = 'Adams' AND T1.firstname = 'Sandy') OR (T1.lastname = 'Rodriguez' AND T1.firstname = 'Jose') ORDER BY T2.educationrequired DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.zipcode FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.gender = 'M' AND T1.performance = 'Good'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.ssn FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.state = 'CA'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) > 20000 AND T2.positiontitle = 'Trainee'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) AS avg FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT 100 * (AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) - CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL)) / CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL) AS per FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee WHERE gender = 'F'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.locationcity FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.firstname = 'Jose' AND T1.lastname = 'Rodriguez'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.state FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.firstname = 'Emily' AND T1.lastname = 'Wood'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.educationrequired FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'David' AND T1.lastname = 'Whitehead' AND T1.gender = 'M'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.locationcity = 'Miami'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.locationcity = 'Boston' ORDER BY T1.salary DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T1.ssn FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.locationcity = 'New York City' AND T1.performance = 'Good'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T2.locationcity = 'Chicago' AND T1.performance = 'Good'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Kenneth' AND T1.lastname = 'Charles'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.address FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' ORDER BY T1.salary DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.maxsalary FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Tracy' AND T1.lastname = 'Coulter'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT 100 * (CAST(REPLACE(SUBSTR(T2.maxsalary, 4), ',', '') AS REAL) - CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) / CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) AS per FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Jose' AND T1.lastname = 'Rodr... |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee WHERE performance = 'Poor' AND CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) > 50000; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT firstname, lastname FROM employee WHERE CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL)) FROM employee ); |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM position WHERE CAST(REPLACE(SUBSTR(maxsalary, 4), ',', '') AS REAL) < 100000; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT salary FROM employee ORDER BY hiredate ASC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT minsalary FROM position ORDER BY educationrequired DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.address, T2.locationcity, T2.state, T2.zipcode FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID GROUP BY T2.address, T2.locationcity, T2.state, T2.zipcode ORDER BY COUNT(*) DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.educationrequired = '2 year degree'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Regional Manager' AND T1.gender = 'M'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' GROUP BY T2.positiontitle ORDER BY COUNT(T2.positiontitle) DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.educationrequired = '2 year degree' AND T1.gender = 'F' GROUP BY T2.positiontitle ORDER BY COUNT(T2.positiontitle) DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T1.performance = 'Good' AND T2.state = 'IL'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' AND T2.positiontitle = 'Manager'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.state FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T1.performance = 'Good' GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT firstname, lastname, performance FROM employee ORDER BY salary ASC LIMIT 1; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT locationcity FROM location WHERE state IN ('CO', 'UT', 'CA'); |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT locationcity, address FROM location WHERE zipcode > 90000; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT positiontitle FROM position WHERE educationrequired = '4 year degree'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT maxsalary FROM position WHERE positiontitle = 'Trainee'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T1.ssn FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Average'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.hiredate, T2.positiontitle, T1.salary FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Emily' AND T1.lastname = 'Wood'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.maxsalary, T2.minsalary, T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Bill' AND T1.lastname = 'Marlin'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T1.gender, T3.positiontitle FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T2.locationcity = 'New York City'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T1.hiredate, T1.performance FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T2.state = 'UT'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T2.locationcity, T2.address, T2.zipcode FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' AND T1.performance = 'Poor'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T2.educationrequired, T1.firstname, T1.lastname, T1.salary FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' AND T2.positiontitle = 'Account Representative'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T2.state, T2.locationcity FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID WHERE T1.ssn = '767-74-7373'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT T1.firstname, T1.lastname, T3.positiontitle, T2.locationcity, T2.officephone FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T2.state = 'CO'; |
[INST] Here is a database schema:
location :
locationID [ INTEGER ] primary_key
locationcity [ TEXT ]
address [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
officephone [ TEXT ]
position :
positionID [ INTEGER ] primary_key
positiontitle [ TEXT ]
educationrequired [ TEXT ]
minsalary [ TEXT ]
maxsalary [ TEXT ]
employee ... | SELECT SUM(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) / 12 AS avg, T1.firstname, T1.lastname , T2.positiontitle, T3.locationcity FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID INNER JOIN location AS T3 ON T1.locationID = T3.locationID WHERE CAST(REPLACE(SUBSTR(T1.salary, 4)... |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT start_station_name, end_station_name FROM trip WHERE duration = ( SELECT MAX(duration) FROM trip ); |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT CAST(COUNT(subscription_type) AS REAL) * 100 / ( SELECT COUNT(subscription_type) FROM trip ) FROM trip WHERE subscription_type = 'Subscriber'; |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT T2.end_station_id, T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T1.name = T2.end_station_name WHERE T2.bike_id = 13 ORDER BY T2.end_date DESC LIMIT 1; |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT DISTINCT T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, '/') + 1) - SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, ' ') - 5) <> SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, '/') + 1) - SUBSTR(CAS... |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT T1.name, T1.long FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.time = '2013/11/03 02:01:01' AND T2.bikes_available = 0; |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT T2.start_station_name, T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name GROUP BY T2.start_station_name ORDER BY COUNT(T2.start_station_name) DESC LIMIT 1; |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT MAX(T2.max_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T1.id = 4080; |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT T2.time FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.bikes_available = ( SELECT MAX(T2.bikes_available) FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T1.name = 'San Jose Diridon Caltrain Station' ); |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT T1.id, T1.duration FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.events LIKE '%Rain%' OR T2.events LIKE '%rain%'; |
[INST] Here is a database schema:
station :
id [ INTEGER ] primary_key
name [ TEXT ]
lat [ REAL ]
long [ REAL ]
dock_count [ INTEGER ]
city [ TEXT ]
installation_date [ TEXT ]
status :
station_id [ INTEGER ]
bikes_available [ INTEGER ]
docks_available [ INTEGER ]
time [ TEXT ]
trip :
id [ INTEGER ] primary_key
durati... | SELECT T2.end_station_name, T2.start_date FROM station AS T1 INNER JOIN trip AS T2 ON T2.end_station_name = T1.name WHERE T1.lat = 37.331415 AND T1.long = -121.8932; |
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