input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(T1.customerNumber) FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.status = 'Cancelled' AND T1.creditLimit > 115000; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T3.paymentDate FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber INNER JOIN payments AS T3 ON T2.customerNumber = T3.customerNumber WHERE T1.firstName = 'Barry' AND T1.lastName = 'Jones' AND T1.jobTitle = 'Sales Rep' ORDER BY T2.creditLimit ASC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.reportsTo FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber WHERE T2.country = 'France'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.addressLine1, T1.addressLine2 FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.shippedDate = '2005-04-04' AND T2.status = 'Shipped'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.addressLine1, T2.addressLine2 FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber INNER JOIN offices AS T3 ON T1.officeCode = T3.officeCode WHERE T2.city = 'NYC' AND T1.jobTitle = 'Sales Rep'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.addressLine1, T1.addressLine2 FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T2.MSRP - T2.buyPrice) FROM productlines AS T1 INNER JOIN products AS T2 ON T1.productLine = T2.productLine WHERE T2.productVendor = 'Carousel DieCast Legends' AND T1.textDescription LIKE '%perfect holiday or anniversary gift for executives%'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.customerNumber FROM customers AS T1 INNER JOIN payments AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.city = 'Boston' GROUP BY T1.customerNumber ORDER BY SUM(T2.amount) / COUNT(T2.paymentDate) DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T2.quantityOrdered) , SUM(T2.quantityOrdered * T2.priceEach) / SUM(T2.quantityOrdered) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode WHERE T1.productName = '18th Century Vintage Horse Carriage'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(t.productCode) FROM orderdetails t WHERE t.orderNumber = '10252'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.firstName, T2.lastName FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T1.addressLine1 = '25 Maiden Lane' AND T1.addressLine2 = 'Floor No. 4'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.addressLine1, T1.addressLine2 FROM offices AS T1 INNER JOIN employees AS T2 ON T1.officeCode = T2.officeCode WHERE T2.firstName = 'Foon Yue' AND T2.lastName = 'Tseng'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.orderDate FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE STRFTIME('%Y-%m-%d', T2.orderDate) = '2005-04-08' OR STRFTIME('%Y-%m-%d', T2.orderDate) = '2005-04-10' ORDER BY T1.quantityOrdered * T1.priceEach DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t2.quantityOrdered) FROM orderdetails AS t2 INNER JOIN ( SELECT t1.productCode FROM products AS t1 ORDER BY t1.MSRP - t1.buyPrice DESC LIMIT 1 ) AS t3 ON t2.productCode = t3.productCode; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.amount FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.customerName = 'Petit Auto' AND t1.paymentDate = '2004-08-09'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.contactFirstName, t2.contactLastName FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.checkNumber = 'NR157385'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.contactFirstName, t2.contactLastName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.orderNumber = '10160'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.addressLine1, t2.addressLine2 FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.orderNumber = '10383'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.textDescription FROM productlines AS t1 INNER JOIN products AS t2 ON t1.productLine = t2.productLine WHERE t2.productCode = 'S18_2949'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.email FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Dragon Souveniers, Ltd.'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(t1.customerNumber) FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.country = 'France' AND t2.firstName = 'Gerard' AND t2.lastName = 'Hernandez'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t3.productName FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN products AS t3 ON t1.productCode = t3.productCode WHERE t2.customerNumber = '114' ORDER BY t2.orderDate DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT (t1.MSRP - t2.priceEach) / t1.MSRP FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode WHERE t1.productCode = 'S18_3482' AND t2.orderNumber = '10108'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.firstName, t2.lastName FROM employees AS t1 INNER JOIN employees AS t2 ON t2.employeeNumber = t1.reportsTo WHERE t1.firstName = 'Steve' AND t1.lastName = 'Patterson'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t.email FROM employees t WHERE t.jobTitle = 'President'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.firstName, t2.lastName FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Muscle Machine Inc'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.email FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Muscle Machine Inc'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.customerName FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t2.firstName = 'Steve' AND t2.lastName = 'Patterson'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(t1.customerNumber) FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t2.firstName = 'William' AND t2.lastName = 'Patterson'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.phone FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t2.firstName = 'Leslie' AND t2.lastName = 'Jennings' ORDER BY t1.creditLimit DESC LIMIT 3; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(t1.employeeNumber) FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t2.country = 'USA' AND t1.jobTitle = 'Sales Rep'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.addressLine1, t2.addressLine2 FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t1.jobTitle = 'President'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.postalCode FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t1.jobTitle = 'VP Sales'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t1.priceEach * t1.quantityOrdered) FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber WHERE t3.customerName = 'Cruz & Sons Co.' AND t2.orderDate = '2003-03-03'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t4.productName FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber INNER JOIN products AS t4 ON t1.productCode = t4.productCode WHERE t3.customerName = 'Cruz & Sons Co.' AND t2.orderDate = '2003-03-03'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t4.productName FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber INNER JOIN products AS t4 ON t1.productCode = t4.productCode WHERE t3.customerName = 'Cruz & Sons Co.' ORDER BY t1.priceEach * t1.quantityOrdered D... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.shippedDate FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.customerName = 'Cruz & Sons Co.' AND t1.orderDate = '2003-03-03'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(T2.customerNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.productCode IN ( SELECT productCode FROM products WHERE productName = '1957 Chevy Pickup' ); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t.productName, t.MSRP - t.buyPrice FROM products AS t WHERE t.productLine = 'Classic Cars' ORDER BY t.MSRP - t.buyPrice DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.customerName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.status = 'In Process'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(CASE WHEN JULIANDAY(t1.shippeddate) - JULIANDAY(t1.requireddate) > 3 THEN T1.customerNumber ELSE NULL END) FROM orders AS T1 INNER JOIN orderdetails AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.status = 'Shipped'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.customerName FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE STRFTIME('%Y', t1.paymentDate) = '2005' GROUP BY t2.customerNumber, t2.customerName ORDER BY SUM(t1.amount) DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT productName, MSRP - buyPrice FROM products WHERE productCode = ( SELECT productCode FROM orderdetails ORDER BY quantityOrdered DESC LIMIT 1 ); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.firstName, T2.lastName FROM offices AS T1 INNER JOIN employees AS T2 ON T1.officeCode = T2.officeCode WHERE T2.employeeNumber = ( SELECT MAX(employeeNumber) FROM employees ); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t3.firstName, t3.lastName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber INNER JOIN employees AS t3 ON t2.salesRepEmployeeNumber = t3.employeeNumber WHERE t1.status = 'Disputed'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT CAST(COUNT(CASE WHEN t1.city = 'Paris' THEN t2.employeeNumber ELSE NULL END) AS REAL) * 100 / COUNT(t2.employeeNumber) FROM offices AS t1 INNER JOIN employees AS t2 ON t1.officeCode = t2.officeCode; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.firstName, t2.lastName FROM offices AS t1 INNER JOIN employees AS t2 ON t1.officeCode = t2.officeCode WHERE t2.jobTitle = 'Sale Manager (EMEA)'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.firstName, t2.lastName, t2.reportsTo FROM offices AS t1 INNER JOIN employees AS t2 ON t1.officeCode = t2.officeCode WHERE t1.country = 'Japan'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t4.customerName FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode INNER JOIN orders AS t3 ON t2.orderNumber = t3.orderNumber INNER JOIN customers AS t4 ON t3.customerNumber = t4.customerNumber WHERE t1.productName = '1939 Chevrolet Deluxe Coupe' ORDER BY t2.priceEach DESC LIMIT... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(CASE WHEN t1.customerName = 'Atelier graphique' THEN t2.amount ELSE 0 END) * 100 / SUM(t2.amount) FROM customers AS t1 INNER JOIN payments AS t2 ON t1.customerNumber = t2.customerNumber WHERE STRFTIME('%Y', t2.paymentDate) = '2004'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM((t1.priceEach - t2.buyPrice) * t1.quantityOrdered) FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode WHERE t1.orderNumber = '10100'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t.amount) FROM payments t WHERE t.customerNumber = '103'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t.priceEach * t.quantityOrdered) FROM orderdetails t WHERE t.orderNumber = '10100'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.productName FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode ORDER BY t2.priceEach DESC LIMIT 3; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.contactFirstName, t2.contactLastName FROM employees AS t1 INNER JOIN customers AS t2 ON t1.employeeNumber = t2.salesRepEmployeeNumber WHERE t1.employeeNumber = '1370' ORDER BY t2.creditLimit DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t2.quantityOrdered) FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode WHERE t1.productName = '2003 Harley-Davidson Eagle Drag Bike'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.shippedDate FROM orders AS t1 INNER JOIN orderdetails AS t2 ON t1.orderNumber = t2.orderNumber ORDER BY t2.priceEach DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t2.quantityOrdered) FROM orders AS t1 INNER JOIN orderdetails AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN products AS t3 ON t2.productCode = t3.productCode WHERE t3.productLine = 'motorcycles' AND STRFTIME('%Y', t1.orderDate) = '2004'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.orderNumber FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.creditLimit = 45300; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t3.customerName, (t1.priceEach - t4.buyPrice) * t1.quantityOrdered FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber INNER JOIN products AS t4 ON t1.productCode = t4.productCode GROUP BY t3.customerName, t1.price... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT STRFTIME('%Y', t1.paymentDate), COUNT(t1.customerNumber) FROM payments AS t1 WHERE t1.amount < 10000 GROUP BY STRFTIME('%Y', t1.paymentDate); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t3.productName, SUM(t2.quantityOrdered) FROM orders AS t1 INNER JOIN orderdetails AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN products AS t3 ON t2.productCode = t3.productCode WHERE STRFTIME('%Y', t1.orderDate) = '2003' GROUP BY t3.productName ORDER BY SUM(t2.quantityOrdered) DESC LIMIT 3; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t5.firstName, t5.lastName, SUM(t2.quantityOrdered) FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode INNER JOIN orders AS t3 ON t2.orderNumber = t3.orderNumber INNER JOIN customers AS t4 ON t3.customerNumber = t4.customerNumber INNER JOIN employees AS t5 ON t4.salesRepEmployeeN... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.lastName, t1.firstName FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t2.city = 'NYC' AND t1.jobTitle = 'Sales Rep'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.customerName, t2.country FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.checkNumber = 'GG31455'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t1.orderNumber) FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode WHERE t2.productName = '2001 Ferrari Enzo'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t2.productName FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode GROUP BY t2.productName ORDER BY SUM(t1.quantityOrdered) ASC LIMIT 5; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT t1.customerName FROM customers AS t1 INNER JOIN orders AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.status = 'Disputed'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(t2.orderNumber) FROM customers AS t1 INNER JOIN orders AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.status = 'On Hold' AND t1.country = 'USA'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(t3.priceEach * t3.quantityOrdered) FROM customers AS t1 INNER JOIN orders AS t2 ON t1.customerNumber = t2.customerNumber INNER JOIN orderdetails AS t3 ON t2.orderNumber = t3.orderNumber INNER JOIN products AS t4 ON t3.productCode = t4.productCode WHERE t4.productLine = 'Classic Cars' AND t1.customerName = 'L... |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT COUNT(id_restaurant) FROM generalinfo WHERE review < 3; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT food_type FROM generalinfo WHERE review = ( SELECT MAX(review) FROM generalinfo ) LIMIT 4; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT COUNT(id_restaurant) FROM generalinfo WHERE food_type = 'mediterranean' AND city = 'richmond'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT city FROM geographic WHERE county = 'sonoma county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT DISTINCT county FROM geographic WHERE region != 'bay area'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT city FROM geographic WHERE region = 'northern california'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT id_restaurant FROM location WHERE city = 'oakland' AND street_name = '11th street'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT COUNT(id_restaurant) FROM location WHERE street_num = 871; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT id_restaurant FROM location WHERE City = 'san francisco' AND street_name = '9th avenue'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.food_type FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'adeline st' AND T2.city = 'berkeley'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT DISTINCT T2.region FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.food_type != 'african'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT DISTINCT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'a & w root beer'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.street_name, T1.street_num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'adelitas taqueria'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T2.food_type FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant INNER JOIN geographic AS T3 ON T2.city = T3.city WHERE T3.County = 'san mateo county' AND T1.street_name = 'alpine rd' AND T1.street_num = 3140; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T2.food_type = 'seafood' AND street_name IS NOT NULL; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT DISTINCT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label != 'bakers square restaurant & pie shop'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT COUNT(DISTINCT T2.county) FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.street_name = 'appian way'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.review FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'atlantic ave'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.id_restaurant FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'contra costa county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.id_restaurant, T1.label FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'yolo county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.label FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'drive' AND T1.food_type != 'american' AND T2.city = 'san rafael'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T2.street_name FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.review = 1.7; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T2.label FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'avenida de las pulgas' AND T2.city = 'menlo park' ORDER BY review LIMIT 1; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant INNER JOIN geographic AS T3 ON T2.city = T3.city WHERE T2.label = 'good heavens' AND T3.county = 'tuolumne county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT DISTINCT T1.street_num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'aux delices vietnamese restaurant'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT T1.id_restaurant FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'marin county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT DISTINCT T2.region FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.food_type = 'pizza' AND T2.region != 'unknown'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT AVG(T2.review) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.county = 'santa cruz county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT CAST(SUM(IIF(T2.food_type = 'mexican', 1, 0)) AS REAL) * 100 / COUNT(T2.id_restaurant) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.county = 'monterey county'; |
[INST] Here is a database schema:
geographic :
city [ TEXT ] primary_key
county [ TEXT ]
region [ TEXT ]
generalinfo :
id_restaurant [ INTEGER ] primary_key
label [ TEXT ]
food_type [ TEXT ]
city [ TEXT ] generalinfo.city = geographic.city
review [ REAL ]
location :
id_restaurant [ INTEGER ] primary_key location.id_r... | SELECT CAST(SUM(IIF(T1.street_name = '11th st', 1, 0)) AS REAL) * 100 / COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.County = 'alameda county'; |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.