input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) AS cost FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T1.`Product ID` = T3.`Product ID` AND T1.Region = T3.Region WHERE T1.Region = 'East' AND T2.`Customer Name` = 'Brad Thomas' A... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name`, T2.City, T2.Country FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Plantronics Single Ear Headset'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Ship Date`, T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Gene Hale'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(T1.`Order ID`) FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'First Class' AND T2.Category = 'Furniture'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(*) FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.Category = 'Office Supplies' AND T2.`Customer Name` = 'Cindy Stewart'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.Category FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY T1.Profit DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T3.`Product Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Cindy Stewart'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Same Day' AND T1.`Ship Date` LIKE '2013%'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.Category FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` LEFT JOIN central_superstore AS T4 ON T3.`Product ID` = T4.`Product ID` WHERE T2.`Customer Name` = 'Sam Craven'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Quantity) FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Cindy Stewart' AND T3.`Product Name` = 'Lexmark X 9575 Professional All-in-One Color Printer'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Standard Class' AND T1.Quantity >= 10; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.Category FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY T1.Sales LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Profit) FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` GROUP BY T2.`Product Name` = 'Memorix Froggy Flash Drive 8 GB'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Sales) FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE STRFTIME('%Y', T1.`Order Date`) = '2016' AND T2.Category = 'Furniture'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT AVG(T1.Sales) FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Sharp AL-1530CS Digital Copier'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT CAST(SUM(CASE WHEN T3.Category = 'Office Supplies' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Category) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID`; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT CAST(SUM(CASE WHEN State = 'Texas' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN State = 'Indiana' THEN 1 ELSE 0 END) FROM people; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Sub-Category` = 'Art' GROUP BY T2.`Product Name` ORDER BY COUNT(T2.`Product ID`) DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE STRFTIME('%Y', T1.`Order Date`) = '2015' GROUP BY T2.`Customer Name` HAVING COUNT(T2.`Customer Name`) > 3; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT MAX(T2.Profit) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Anna Chung'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(T2.`Customer ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Corey Roper' AND STRFTIME('%Y', T2.`Ship Date`) = '2015'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Sales) - SUM(T2.Sales) AS difference FROM east_superstore AS T1 INNER JOIN west_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID`; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'Central' AND T1.Profit < 0; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name`, T1.`Ship Mode` FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'West' ORDER BY T1.`Ship Date` - T1.`Order Date` LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T1.`Order ID`) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'O''Sullivan Plantations 2-Door Library in Landvery Oak' AND T2.Region = 'Central' AND T1.`Ship Mode` = 'First Class'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Segment = 'Corporate' AND T2.State = 'Rhode Island' AND T2.Region = 'East' AND STRFTIME('%Y', T1.`Order Date`) = '2016' GROUP BY T2.`Customer Name` ORDER BY COUNT(T2.`Customer Name`) DESC LIMIT 1... |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T1.`Order ID`) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` INNER JOIN people AS T3 ON T3.`Customer ID` = T1.`Customer ID` WHERE T1.Sales > 5000 AND T3.State = 'California' AND T2.Region = 'West'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.Segment FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T1.Region = 'East' ORDER BY (T1.Sales / (1 - T1.Discount)) DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT strftime('%J', `Ship Date`) - strftime('%J', `Order Date`) AS duration FROM central_superstore WHERE `Order ID` = 'CA-2011-134103'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT `Order ID`) FROM central_superstore WHERE Quantity > 5 AND `Ship Mode` = 'First Class'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT `Order ID` FROM central_superstore WHERE Profit < 0 LIMIT 3; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Phillina Ober'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Hon Multipurpose Stacking Arm Chairs' GROUP BY T2.`Customer Name` ORDER BY COUNT(T2.`Customer Name`) DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T1.Profit FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'O''Sullivan Living Dimensions 2-Shelf Bookcases'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T1.Quantity) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Hon Pagoda Stacking Chairs'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aaron Bergman' AND T2.`Ship Mode` = 'Standard Class'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.Sales / (1 - T1.Discount) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Blackstonian Pencils'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Aimee Bixby'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T1.Profit FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Sauder Camden County Barrister Bookcase, Planked Cherry Finish'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(T2.Category) FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Standard Class'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.`Order ID` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.City = 'Houston' AND T2.State = 'Texas' ORDER BY T1.Profit DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(*) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Furniture'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE strftime('%Y-%m', T1.`Ship Date`) = '2013-03'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.State = 'Texas'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Alan Barnes' AND STRFTIME('%Y', T2.`Order Date`) = '2015'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'CA-2011-141817'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT CAST(SUM(CASE WHEN T2.Discount = 0.2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.State = 'Texas'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT CAST(SUM(CASE WHEN T1.`Ship Mode` = 'First Class' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Furniture' AND STRFTIME('%Y', T1.`Ship Date`) = '2013'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Order Date` = '2013-08-12' AND T1.Discount = 0.2 AND T1.Region = 'West'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Security-Tint Envelopes' AND T1.`Order Date` = '2013-06-03'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Bill Shonely' AND T2.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Quantity = 8 AND T1.Region = 'West'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT SUM(T2.Profit) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.City = 'Houston' AND T1.State = 'Texas' AND T2.Region = 'Central'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Ship Date` = '2013-03-05'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'Central' AND STRFTIME('%Y', T1.`Order Date`) = '2016' ORDER BY T1.Profit ASC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Order ID` = 'CA-2011-118976' AND T2.Region = 'East'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'South' ORDER BY T1.Sales DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T1.Sales, T1.Profit, T2.`Sub-Category` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'US-2011-126571' AND T2.Region = 'East'; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'East' ORDER BY T1.Quantity DESC LIMIT 1; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Region = 'South' AND T1.`Ship Mode` = 'Standard Class' AND 100 * T1.Sales / ( SELECT AVG(Sales) FROM south_superstore ) > 88; |
[INST] Here is a database schema:
people :
Customer ID [ TEXT ]
Customer Name [ TEXT ]
Segment [ TEXT ]
Country [ TEXT ]
City [ TEXT ]
State [ TEXT ]
Postal Code [ INTEGER ]
Region [ TEXT ]
product :
Product ID [ TEXT ]
Product Name [ TEXT ]
Category [ TEXT ]
Sub-Category [ TEXT ]
Region [ TEXT ]
central_superstore :... | SELECT CAST(SUM(CASE WHEN T2.Discount = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Region = 'Central' AND T1.State = 'Indiana'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(IIF(race = 'W', 1, 0)) AS REAL) * 100 / COUNT(case_number) FROM officers WHERE gender = 'M'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(IIF(officer_count > 3, 1, 0)) AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE STRFTIME('%Y', date) BETWEEN '2010' AND '2015'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT STRFTIME('%Y', date) FROM incidents WHERE subject_weapon = 'Handgun' GROUP BY STRFTIME('%Y', date) ORDER BY COUNT(case_number) DESC LIMIT 1; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(subject_statuses = 'Injured') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE grand_jury_disposition = 'No Bill'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT SUM(IIF(STRFTIME('%Y', date) = '2007', 1, 0)) - SUM(IIF(STRFTIME('%Y', date) = '2008', 1, 0)) FROM incidents WHERE subject_weapon = 'Vehicle'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(subject_statuses = 'Shoot and Miss') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE subject_weapon = 'Handgun'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T2.last_name, T2.gender FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.grand_jury_disposition = 'No Bill'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T1.case_number, T1.subject_statuses, T1.subject_weapon FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T1.case_number, T1.location, T1.subject_statuses FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'M'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T1.case_number, T1.grand_jury_disposition FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T2.first_name = 'George' AND T2.last_name = 'Evenden'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T2.last_name, T1.subject_statuses FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.case_number = '134472-2015'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T2.last_name, T2.gender, T2.race, T2.case_number FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Deceased'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(T1.subject_weapon = 'Vehicle') AS REAL) * 100 / COUNT(T1.case_number) FROM incidents T1 INNER JOIN subjects T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(T1.subject_weapon = 'Knife') AS REAL) * 100 / SUM(T1.subject_weapon = 'Handgun') FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Injured'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT case_number FROM incidents WHERE STRFTIME('%Y', date) > '2011' AND subject_statuses = 'Deceased'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(race = 'B') AS REAL) * 100 / COUNT(case_number) FROM officers WHERE gender = 'M'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT COUNT(T1.case_number) FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_weapon = 'Vehicle' AND T2.gender = 'F'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT COUNT(T1.case_number) FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F' AND T1.subject_statuses = 'Deceased'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT COUNT(T1.case_number) FROM officers AS T1 INNER JOIN incidents AS T2 ON T2.case_number = T1.case_number WHERE T1.race = 'B' AND T2.date BETWEEN '2010-01-01' AND '2015-12-31'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT COUNT(case_number) FROM incidents WHERE date BETWEEN '2015-06-01' AND '2015-06-30'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT COUNT(location) FROM incidents WHERE subject_weapon = 'Handgun' AND subject_statuses = 'Injured' AND date BETWEEN '2006-01-01' AND '2013-12-31'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT subject_weapon FROM incidents WHERE subject_statuses = 'Deceased' GROUP BY subject_weapon ORDER BY COUNT(case_number) DESC LIMIT 1; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(gender = 'M') AS REAL) / SUM(gender = 'F') FROM officers WHERE race = 'W'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT SUM(race = 'B') - SUM(race = 'W') FROM subjects WHERE gender = 'F'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(subject_statuses = 'Deceased') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE subject_weapon = 'Rifle'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T1.subject_weapon, T2.race, T2.gender FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.case_number = '031347-2015'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT T1.case_number, T3.race, T3.gender FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number INNER JOIN subjects AS T3 ON T1.case_number = T3.case_number WHERE T2.first_name = 'Fredirick' AND T2.last_name = 'Ruben'; |
[INST] Here is a database schema:
incidents :
case_number [ TEXT ] primary_key
date [ DATE ]
location [ TEXT ]
subject_statuses [ TEXT ]
subject_weapon [ TEXT ]
subjects [ TEXT ]
subject_count [ INTEGER ]
officers [ TEXT ]
officers :
case_number [ TEXT ] officers.case_number = incidents.case_number
race [ TEXT ]
gende... | SELECT CAST(SUM(T2.gender = 'M') AS REAL) * 100 / COUNT(T1.case_number) FROM incidents T1 INNER JOIN officers T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Injured'; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT T1.Chromosome FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID WHERE T2.Localization = 'plasma membrane'; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID WHERE T2.Localization = 'nucleus' AND T1.Essential = 'Non-Essential'; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID WHERE T2.Localization = 'vacuole' AND T1.Phenotype = 'Nucleic acid metabolism defects'; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT T2.Localization FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID ORDER BY T1.Chromosome DESC LIMIT 1; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT T2.Expression_Corr FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T1.Localization = 'nucleus' AND T3.Localization = 'nucleus' ORDER BY T2.Expression_Corr DESC LIMIT 1; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT T1.Function FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 ORDER BY T2.Expression_Corr ASC LIMIT 1; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr < 0 AND T1.Class = 'Motorproteins'; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT T2.Expression_Corr FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Chromosome = 6 OR T1.Chromosome = 8 ORDER BY T2.Expression_Corr DESC LIMIT 1; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT T2.GeneID1, T2.GeneID2 FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Localization = 'cytoplasm' AND T1.Chromosome = 7; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Localization != 'cytoplasm' AND T1.Function = 'TRANSCRIPTION' AND T1.Essential = 'NON-Essential'; |
[INST] Here is a database schema:
Classification :
GeneID [ TEXT ] primary_key
Localization [ TEXT ]
Genes :
GeneID [ TEXT ] Genes.GeneID = Classification.GeneID
Essential [ TEXT ]
Class [ TEXT ]
Complex [ TEXT ]
Phenotype [ TEXT ]
Motif [ TEXT ]
Chromosome [ INTEGER ]
Function [ TEXT ]
Localization [ TEXT ]
Interact... | SELECT COUNT(T2.GeneID2) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr > 0 AND T1.Essential = 'Non-Essential'; |
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