Datasets:
Mogine
/
SpiderMaskedKey

Dataset card Data Studio Files
xet
 Community
1
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stringclasses
140 values
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18
577
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sakila_1
SELECT amount FROM payment ORDER BY amount DESC LIMIT 1
What is the largest payment amount?
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sakila_1
SELECT amount FROM payment ORDER BY amount DESC LIMIT 1
Return the amount of the largest payment.
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sakila_1
SELECT T2.address FROM staff AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Elsa'
Where does the staff member with the first name Elsa live?
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sakila_1
SELECT T2.address FROM staff AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Elsa'
Give the address of the staff member who has the first name Elsa.
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sakila_1
SELECT first_name FROM customer WHERE customer_id NOT IN( SELECT customer_id FROM rental WHERE rental_date > '2005-08-23 02:06:01' )
What are the first names of customers who have not rented any films after '2005-08-23 02:06:01'?
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sakila_1
SELECT first_name FROM customer WHERE customer_id NOT IN( SELECT customer_id FROM rental WHERE rental_date > '2005-08-23 02:06:01' )
Return the first names of customers who did not rented a film after the date '2005-08-23 02:06:01'.
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loan_1
SELECT count(*) FROM bank
How many bank branches are there?
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loan_1
SELECT count(*) FROM bank
Count the number of bank branches.
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loan_1
SELECT sum(no_of_customers) FROM bank
How many customers are there?
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loan_1
SELECT sum(no_of_customers) FROM bank
What is the total number of customers across banks?
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loan_1
SELECT sum(no_of_customers) FROM bank WHERE city = 'New York City'
Find the number of customers in the banks at New York City.
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loan_1
SELECT sum(no_of_customers) FROM bank WHERE city = 'New York City'
What is the total number of customers who use banks in New York City?
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loan_1
SELECT avg(no_of_customers) FROM bank WHERE state = 'Utah'
Find the average number of customers in all banks of Utah state.
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loan_1
SELECT avg(no_of_customers) FROM bank WHERE state = 'Utah'
What is the average number of customers across banks in the state of Utah?
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loan_1
SELECT avg(no_of_customers) FROM bank
Find the average number of customers cross all banks.
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loan_1
SELECT avg(no_of_customers) FROM bank
What is the average number of bank customers?
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loan_1
SELECT city , state FROM bank WHERE bname = 'morningside'
Find the city and state of the bank branch named morningside.
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loan_1
SELECT city , state FROM bank WHERE bname = 'morningside'
What city and state is the bank with the name morningside in?
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loan_1
SELECT bname FROM bank WHERE state = 'New York'
Find the branch names of banks in the New York state.
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loan_1
SELECT bname FROM bank WHERE state = 'New York'
What are the names of banks in the state of New York?
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loan_1
SELECT cust_name FROM customer ORDER BY acc_bal
List the name of all customers sorted by their account balance in ascending order.
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loan_1
SELECT cust_name FROM customer ORDER BY acc_bal
What are the names of all customers, ordered by account balance?
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount)
List the name of all different customers who have some loan sorted by their total loan amount.
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount)
What are the names of the different customers who have taken out a loan, ordered by the total amount that they have taken?
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loan_1
SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0
Find the state, account type, and credit score of the customer whose number of loan is 0.
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loan_1
SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0
What are the states, account types, and credit scores for customers who have 0 loans?
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loan_1
SELECT count(DISTINCT city) FROM bank
Find the number of different cities which banks are located at.
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loan_1
SELECT count(DISTINCT city) FROM bank
In how many different cities are banks located?
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loan_1
SELECT count(DISTINCT state) FROM bank
Find the number of different states which banks are located at.
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loan_1
SELECT count(DISTINCT state) FROM bank
In how many different states are banks located?
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loan_1
SELECT count(DISTINCT acc_type) FROM customer
How many distinct types of accounts are there?
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loan_1
SELECT count(DISTINCT acc_type) FROM customer
Count the number of different account types.
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loan_1
SELECT cust_name , acc_bal FROM customer WHERE cust_name LIKE '%a%'
Find the name and account balance of the customer whose name includes the letter ‘a’.
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[ "select", "cust_name", ",", "acc_bal", "from", "customer", "where", "cust_name", "like", "value" ]
[ "Find", "the", "name", "and", "account", "balance", "of", "the", "customer", "whose", "name", "includes", "the", "letter", "‘a’", "." ]
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loan_1
SELECT cust_name , acc_bal FROM customer WHERE cust_name LIKE '%a%'
What are the names and account balances of customers with the letter a in their names?
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[ "select", "cust_name", ",", "acc_bal", "from", "customer", "where", "cust_name", "like", "value" ]
[ "What", "are", "the", "names", "and", "account", "balances", "of", "customers", "with", "the", "letter", "a", "in", "their", "names", "?" ]
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loan_1
SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas'
Find the total account balance of each customer from Utah or Texas.
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[ "select", "sum", "(", "acc_bal", ")", "from", "customer", "where", "state", "=", "value", "or", "state", "=", "value" ]
[ "Find", "the", "total", "account", "balance", "of", "each", "customer", "from", "Utah", "or", "Texas", "." ]
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[ "select", "sum", "(", "<mask>", ")", "from", "<mask>", "where", "<mask>", "=", "<unk>", "or", "<mask>", "=", "<unk>" ]
loan_1
SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas'
What are the total account balances for each customer from Utah or Texas?
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[ "select", "sum", "(", "acc_bal", ")", "from", "customer", "where", "state", "=", "value", "or", "state", "=", "value" ]
[ "What", "are", "the", "total", "account", "balances", "for", "each", "customer", "from", "Utah", "or", "Texas", "?" ]
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loan_1
SELECT cust_name FROM customer WHERE acc_type = 'saving' INTERSECT SELECT cust_name FROM customer WHERE acc_type = 'checking'
Find the name of customers who have both saving and checking account types.
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[ "select", "cust_name", "from", "customer", "where", "acc_type", "=", "value", "intersect", "select", "cust_name", "from", "customer", "where", "acc_type", "=", "value" ]
[ "Find", "the", "name", "of", "customers", "who", "have", "both", "saving", "and", "checking", "account", "types", "." ]
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loan_1
SELECT cust_name FROM customer WHERE acc_type = 'saving' INTERSECT SELECT cust_name FROM customer WHERE acc_type = 'checking'
What are the names of customers who have both savings and checking accounts?
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[ "select", "cust_name", "from", "customer", "where", "acc_type", "=", "value", "intersect", "select", "cust_name", "from", "customer", "where", "acc_type", "=", "value" ]
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loan_1
SELECT cust_name FROM customer EXCEPT SELECT cust_name FROM customer WHERE acc_type = 'saving'
Find the name of customers who do not have an saving account.
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loan_1
SELECT cust_name FROM customer EXCEPT SELECT cust_name FROM customer WHERE acc_type = 'saving'
What are the names of customers who do not have saving accounts?
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loan_1
SELECT cust_name FROM customer EXCEPT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE T2.loan_type = 'Mortgages'
Find the name of customers who do not have a loan with a type of Mortgages.
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[ "Find", "the", "name", "of", "customers", "who", "do", "not", "have", "a", "loan", "with", "a", "type", "of", "Mortgages", "." ]
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loan_1
SELECT cust_name FROM customer EXCEPT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE T2.loan_type = 'Mortgages'
What are the names of customers who have not taken a Mortage loan?
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto'
Find the name of customers who have loans of both Mortgages and Auto.
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto'
What are the names of customers who have taken both Mortgage and Auto loans?
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loan_1
SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer)
Find the name of customers whose credit score is below the average credit scores of all customers.
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loan_1
SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer)
What are the names of customers with credit score less than the average credit score across customers?
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loan_1
SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1
Find the branch name of the bank that has the most number of customers.
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loan_1
SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1
What is the name of the bank branch with the greatest number of customers?
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loan_1
SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1
Find the name of customer who has the lowest credit score.
[ "SELECT", "cust_name", "FROM", "customer", "ORDER", "BY", "credit_score", "LIMIT", "1" ]
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loan_1
SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1
What is the name of the customer with the worst credit score?
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loan_1
SELECT cust_name , acc_type , acc_bal FROM customer ORDER BY credit_score DESC LIMIT 1
Find the name, account type, and account balance of the customer who has the highest credit score.
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loan_1
SELECT cust_name , acc_type , acc_bal FROM customer ORDER BY credit_score DESC LIMIT 1
What is the name, account type, and account balance corresponding to the customer with the highest credit score?
[ "SELECT", "cust_name", ",", "acc_type", ",", "acc_bal", "FROM", "customer", "ORDER", "BY", "credit_score", "DESC", "LIMIT", "1" ]
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) DESC LIMIT 1
Find the name of customer who has the highest amount of loans.
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) DESC LIMIT 1
What is the name of the customer who has greatest total loan amount?
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loan_1
SELECT state FROM bank GROUP BY state ORDER BY sum(no_of_customers) DESC LIMIT 1
Find the state which has the most number of customers.
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loan_1
SELECT state FROM bank GROUP BY state ORDER BY sum(no_of_customers) DESC LIMIT 1
Which state has the greatest total number of bank customers?
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[ "Which", "state", "has", "the", "greatest", "total", "number", "of", "bank", "customers", "?" ]
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loan_1
SELECT avg(acc_bal) , acc_type FROM customer WHERE credit_score < 50 GROUP BY acc_type
For each account type, find the average account balance of customers with credit score lower than 50.
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loan_1
SELECT avg(acc_bal) , acc_type FROM customer WHERE credit_score < 50 GROUP BY acc_type
What is the average account balance of customers with credit score below 50 for the different account types?
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[ "select", "avg", "(", "acc_bal", ")", ",", "acc_type", "from", "customer", "where", "credit_score", "<", "value", "group", "by", "acc_type" ]
[ "What", "is", "the", "average", "account", "balance", "of", "customers", "with", "credit", "score", "below", "50", "for", "the", "different", "account", "types", "?" ]
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loan_1
SELECT sum(acc_bal) , state FROM customer WHERE credit_score > 100 GROUP BY state
For each state, find the total account balance of customers whose credit score is above 100.
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[ "select", "sum", "(", "acc_bal", ")", ",", "state", "from", "customer", "where", "credit_score", ">", "value", "group", "by", "state" ]
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loan_1
SELECT sum(acc_bal) , state FROM customer WHERE credit_score > 100 GROUP BY state
What is the total account balance for customers with a credit score of above 100 for the different states?
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loan_1
SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname
Find the total amount of loans offered by each bank branch.
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[ "Find", "the", "total", "amount", "of", "loans", "offered", "by", "each", "bank", "branch", "." ]
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loan_1
SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname
What are the names of the different bank branches, and what are their total loan amounts?
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING count(*) > 1
Find the name of customers who have more than one loan.
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[ "Find", "the", "name", "of", "customers", "who", "have", "more", "than", "one", "loan", "." ]
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING count(*) > 1
What are the names of customers who have taken out more than one loan?
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loan_1
SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000
Find the name and account balance of the customers who have loans with a total amount of more than 5000.
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loan_1
SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000
What are the names and account balances for customers who have taken a total amount of more than 5000 in loans?
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loan_1
SELECT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname ORDER BY sum(T2.amount) DESC LIMIT 1
Find the name of bank branch that provided the greatest total amount of loans.
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loan_1
SELECT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname ORDER BY sum(T2.amount) DESC LIMIT 1
What is the name of the bank branch that has lent the greatest amount?
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loan_1
SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 GROUP BY T2.bname ORDER BY sum(T1.amount) DESC LIMIT 1
Find the name of bank branch that provided the greatest total amount of loans to customers with credit score is less than 100.
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loan_1
SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 GROUP BY T2.bname ORDER BY sum(T1.amount) DESC LIMIT 1
What is the name of the bank branch that has lended the largest total amount in loans, specifically to customers with credit scores below 100?
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loan_1
SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id
Find the name of bank branches that provided some loans.
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loan_1
SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id
What are the names of the different banks that have provided loans?
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loan_1
SELECT DISTINCT T1.cust_name , T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id
Find the name and credit score of the customers who have some loans.
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loan_1
SELECT DISTINCT T1.cust_name , T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id
What are the different names and credit scores of customers who have taken a loan?
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE amount > 3000
Find the the name of the customers who have a loan with amount more than 3000.
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loan_1
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE amount > 3000
What are the names of customers who have a loan of more than 3000 in amount?
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[ "What", "are", "the", "names", "of", "customers", "who", "have", "a", "loan", "of", "more", "than", "3000", "in", "amount", "?" ]
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loan_1
SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business'
Find the city and name of bank branches that provide business loans.
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[ "Find", "the", "city", "and", "name", "of", "bank", "branches", "that", "provide", "business", "loans", "." ]
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loan_1
SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business'
What are the names and cities of bank branches that offer loans for business?
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[ "What", "are", "the", "names", "and", "cities", "of", "bank", "branches", "that", "offer", "loans", "for", "business", "?" ]
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loan_1
SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100
Find the names of bank branches that have provided a loan to any customer whose credit score is below 100.
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loan_1
SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100
What are the names of banks that have loaned money to customers with credit scores below 100?
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loan_1
SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York'
Find the total amount of loans provided by bank branches in the state of New York.
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[ "Find", "the", "total", "amount", "of", "loans", "provided", "by", "bank", "branches", "in", "the", "state", "of", "New", "York", "." ]
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loan_1
SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York'
What is the total amount of money loaned by banks in New York state?
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[ "What", "is", "the", "total", "amount", "of", "money", "loaned", "by", "banks", "in", "New", "York", "state", "?" ]
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loan_1
SELECT avg(credit_score) FROM customer WHERE cust_id IN (SELECT cust_id FROM loan)
Find the average credit score of the customers who have some loan.
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[ "select", "avg", "(", "credit_score", ")", "from", "customer", "where", "cust_id", "in", "(", "select", "cust_id", "from", "loan", ")" ]
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loan_1
SELECT avg(credit_score) FROM customer WHERE cust_id IN (SELECT cust_id FROM loan)
What is the average credit score for customers who have taken a loan?
[ "SELECT", "avg", "(", "credit_score", ")", "FROM", "customer", "WHERE", "cust_id", "IN", "(", "SELECT", "cust_id", "FROM", "loan", ")" ]
[ "select", "avg", "(", "credit_score", ")", "from", "customer", "where", "cust_id", "in", "(", "select", "cust_id", "from", "loan", ")" ]
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loan_1
SELECT avg(credit_score) FROM customer WHERE cust_id NOT IN (SELECT cust_id FROM loan)
Find the average credit score of the customers who do not have any loan.
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[ "select", "avg", "(", "credit_score", ")", "from", "customer", "where", "cust_id", "not", "in", "(", "select", "cust_id", "from", "loan", ")" ]
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loan_1
SELECT avg(credit_score) FROM customer WHERE cust_id NOT IN (SELECT cust_id FROM loan)
What is the average credit score for customers who have never taken a loan?
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[ "select", "avg", "(", "credit_score", ")", "from", "customer", "where", "cust_id", "not", "in", "(", "select", "cust_id", "from", "loan", ")" ]
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[ "select", "avg", "(", "<mask>", ")", "from", "<mask>", "where", "<mask>", "not", "in", "(", "select", "<mask>", "from", "<mask>", ")" ]
behavior_monitoring
SELECT count(*) FROM ASSESSMENT_NOTES
How many assessment notes are there in total?
[ "SELECT", "count", "(", "*", ")", "FROM", "ASSESSMENT_NOTES" ]
[ "select", "count", "(", "*", ")", "from", "assessment_notes" ]
[ "How", "many", "assessment", "notes", "are", "there", "in", "total", "?" ]
[ "How", "many", "<mask>", "notes", "are", "there", "in", "total", "?" ]
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behavior_monitoring
SELECT date_of_notes FROM Assessment_Notes
What are the dates of the assessment notes?
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[ "select", "date_of_notes", "from", "assessment_notes" ]
[ "What", "are", "the", "dates", "of", "the", "assessment", "notes", "?" ]
[ "What", "are", "the", "<mask>", "of", "the", "<mask>", "notes", "?" ]
[ "select", "<mask>", "from", "<mask>" ]
behavior_monitoring
SELECT count(*) FROM ADDRESSES WHERE zip_postcode = "197"
How many addresses have zip code 197?
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[ "How", "many", "addresses", "have", "zip", "code", "197", "?" ]
[ "How", "many", "<mask>", "have", "<mask>", "<mask>", "<unk>", "?" ]
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behavior_monitoring
SELECT count(DISTINCT incident_type_code) FROM Behavior_Incident
How many distinct incident type codes are there?
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[ "How", "many", "distinct", "<mask>", "<mask>", "<mask>", "are", "there", "?" ]
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behavior_monitoring
SELECT DISTINCT detention_type_code FROM Detention
Return all distinct detention type codes.
[ "SELECT", "DISTINCT", "detention_type_code", "FROM", "Detention" ]
[ "select", "distinct", "detention_type_code", "from", "detention" ]
[ "Return", "all", "distinct", "detention", "type", "codes", "." ]
[ "Return", "all", "distinct", "<mask>", "<mask>", "<mask>", "." ]
[ "select", "distinct", "<mask>", "from", "<mask>" ]
behavior_monitoring
SELECT date_incident_start , date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE"
What are the start and end dates for incidents with incident type code "NOISE"?
[ "SELECT", "date_incident_start", ",", "date_incident_end", "FROM", "Behavior_Incident", "WHERE", "incident_type_code", "=", "``", "NOISE", "''" ]
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behavior_monitoring
SELECT detention_summary FROM Detention
Return all detention summaries.
[ "SELECT", "detention_summary", "FROM", "Detention" ]
[ "select", "detention_summary", "from", "detention" ]
[ "Return", "all", "detention", "summaries", "." ]
[ "Return", "all", "<mask>", "<mask>", "." ]
[ "select", "<mask>", "from", "<mask>" ]
behavior_monitoring
SELECT cell_mobile_number , email_address FROM STUDENTS
Return the cell phone number and email address for all students.
[ "SELECT", "cell_mobile_number", ",", "email_address", "FROM", "STUDENTS" ]
[ "select", "cell_mobile_number", ",", "email_address", "from", "students" ]
[ "Return", "the", "cell", "phone", "number", "and", "email", "address", "for", "all", "students", "." ]
[ "Return", "the", "<mask>", "phone", "<mask>", "and", "<mask>", "<mask>", "for", "all", "<mask>", "." ]
[ "select", "<mask>", ",", "<mask>", "from", "<mask>" ]
behavior_monitoring
SELECT email_address FROM Students WHERE first_name = "Emma" AND last_name = "Rohan"
What is the email of the student with first name "Emma" and last name "Rohan"?
[ "SELECT", "email_address", "FROM", "Students", "WHERE", "first_name", "=", "``", "Emma", "''", "AND", "last_name", "=", "``", "Rohan", "''" ]
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behavior_monitoring
SELECT count(DISTINCT student_id) FROM Students_in_Detention
How many distinct students have been in detention?
[ "SELECT", "count", "(", "DISTINCT", "student_id", ")", "FROM", "Students_in_Detention" ]
[ "select", "count", "(", "distinct", "student_id", ")", "from", "students_in_detention" ]
[ "How", "many", "distinct", "students", "have", "been", "in", "detention", "?" ]
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behavior_monitoring
SELECT gender FROM TEACHERS WHERE last_name = "Medhurst"
What is the gender of the teacher with last name "Medhurst"?
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[ "select", "gender", "from", "teachers", "where", "last_name", "=", "value" ]
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behavior_monitoring
SELECT incident_type_description FROM Ref_Incident_Type WHERE incident_type_code = "VIOLENCE"
What is the incident type description for the incident type with code "VIOLENCE"?
[ "SELECT", "incident_type_description", "FROM", "Ref_Incident_Type", "WHERE", "incident_type_code", "=", "``", "VIOLENCE", "''" ]
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behavior_monitoring
SELECT max(monthly_rental) , min(monthly_rental) FROM Student_Addresses
Find the maximum and minimum monthly rental for all student addresses.
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behavior_monitoring
SELECT first_name FROM Teachers WHERE email_address LIKE '%man%'
Find the first names of teachers whose email address contains the word "man".
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