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customers_card_transactions
SELECT card_id , customer_id , card_type_code , card_number FROM Customers_cards
What are card ids, customer ids, card types, and card numbers for each customer card?
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customers_card_transactions
SELECT date_valid_from , date_valid_to FROM Customers_cards WHERE card_number = "4560596484842"
Show the date valid from and the date valid to for the card with card number '4560596484842'.
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[ "Show", "the", "date", "valid", "from", "and", "the", "date", "valid", "to", "for", "the", "card", "with", "card", "number", "'4560596484842", "'", "." ]
customers_card_transactions
SELECT date_valid_from , date_valid_to FROM Customers_cards WHERE card_number = "4560596484842"
What are the valid from and valid to dates for the card with the number 4560596484842?
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[ "What", "are", "the", "valid", "from", "and", "valid", "to", "dates", "for", "the", "card", "with", "the", "number", "4560596484842", "?" ]
customers_card_transactions
SELECT T2.customer_first_name , T2.customer_last_name , T2.customer_phone FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.card_number = "4560596484842"
What is the first name, last name, and phone of the customer with card 4560596484842.
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customers_card_transactions
SELECT T2.customer_first_name , T2.customer_last_name , T2.customer_phone FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.card_number = "4560596484842"
Return the full name and phone of the customer who has card number 4560596484842.
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customers_card_transactions
SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Art" AND T2.customer_last_name = "Turcotte"
How many cards does customer Art Turcotte have?
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[ "How", "many", "cards", "does", "customer", "Art", "Turcotte", "have", "?" ]
customers_card_transactions
SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Art" AND T2.customer_last_name = "Turcotte"
Count the number of cards the customer with the first name Art and last name Turcotte has.
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customers_card_transactions
SELECT count(*) FROM Customers_cards WHERE card_type_code = "Debit"
How many debit cards do we have?
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[ "How", "many", "debit", "cards", "do", "we", "have", "?" ]
customers_card_transactions
SELECT count(*) FROM Customers_cards WHERE card_type_code = "Debit"
Count the number of customer cards of the type Debit.
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customers_card_transactions
SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Blanche" AND T2.customer_last_name = "Huels" AND T1.card_type_code = "Credit"
How many credit cards does customer Blanche Huels have?
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customers_card_transactions
SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Blanche" AND T2.customer_last_name = "Huels" AND T1.card_type_code = "Credit"
Count the number of credit cards that the customer with first name Blanche and last name Huels has.
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customers_card_transactions
SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id
Show all customer ids and the number of cards owned by each customer.
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customers_card_transactions
SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id
What are the different customer ids, and how many cards does each one hold?
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customers_card_transactions
SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1
What is the customer id with most number of cards, and how many does he have?
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[ "What", "is", "the", "customer", "id", "with", "most", "number", "of", "cards", ",", "and", "how", "many", "does", "he", "have", "?" ]
customers_card_transactions
SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1
Return the id of the customer who has the most cards, as well as the number of cards.
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customers_card_transactions
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2
Show id, first and last names for all customers with at least two cards.
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customers_card_transactions
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2
What are the ids and full names of customers who hold two or more cards?
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customers_card_transactions
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1
What is the customer id, first and last name with least number of accounts.
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customers_card_transactions
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1
Return the id and full name of the customer who has the fewest accounts.
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[ "Return", "the", "id", "and", "full", "name", "of", "the", "customer", "who", "has", "the", "fewest", "accounts", "." ]
customers_card_transactions
SELECT card_type_code , count(*) FROM Customers_cards GROUP BY card_type_code
Show all card type codes and the number of cards in each type.
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[ "Show", "all", "card", "type", "codes", "and", "the", "number", "of", "cards", "in", "each", "type", "." ]
customers_card_transactions
SELECT card_type_code , count(*) FROM Customers_cards GROUP BY card_type_code
What are the different card types, and how many cards are there of each?
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customers_card_transactions
SELECT card_type_code FROM Customers_cards GROUP BY card_type_code ORDER BY count(*) DESC LIMIT 1
What is the card type code with most number of cards?
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customers_card_transactions
SELECT card_type_code FROM Customers_cards GROUP BY card_type_code ORDER BY count(*) DESC LIMIT 1
Return the code of the card type that is most common.
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customers_card_transactions
SELECT card_type_code FROM Customers_cards GROUP BY card_type_code HAVING count(*) >= 5
Show card type codes with at least 5 cards.
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customers_card_transactions
SELECT card_type_code FROM Customers_cards GROUP BY card_type_code HAVING count(*) >= 5
What are the codes of card types that have 5 or more cards?
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customers_card_transactions
SELECT card_type_code , count(DISTINCT customer_id) FROM Customers_cards GROUP BY card_type_code
Show all card type codes and the number of customers holding cards in each type.
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[ "Show", "all", "card", "type", "codes", "and", "the", "number", "of", "customers", "holding", "cards", "in", "each", "type", "." ]
customers_card_transactions
SELECT card_type_code , count(DISTINCT customer_id) FROM Customers_cards GROUP BY card_type_code
What are the different card type codes, and how many different customers hold each type?
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customers_card_transactions
SELECT customer_id , customer_first_name FROM Customers EXCEPT SELECT T1.customer_id , T2.customer_first_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit"
Show the customer ids and firstname without a credit card.
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[ "Show", "the", "customer", "ids", "and", "firstname", "without", "a", "credit", "card", "." ]
customers_card_transactions
SELECT customer_id , customer_first_name FROM Customers EXCEPT SELECT T1.customer_id , T2.customer_first_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit"
What are the ids and first names of customers who do not hold a credit card?
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[ "What", "are", "the", "ids", "and", "first", "names", "of", "customers", "who", "do", "not", "hold", "a", "credit", "card", "?" ]
customers_card_transactions
SELECT DISTINCT card_type_code FROM Customers_Cards
Show all card type codes.
[ "SELECT", "DISTINCT", "card_type_code", "FROM", "Customers_Cards" ]
[ "select", "distinct", "card_type_code", "from", "customers_cards" ]
[ "Show", "all", "card", "type", "codes", "." ]
customers_card_transactions
SELECT DISTINCT card_type_code FROM Customers_Cards
What are the different card type codes?
[ "SELECT", "DISTINCT", "card_type_code", "FROM", "Customers_Cards" ]
[ "select", "distinct", "card_type_code", "from", "customers_cards" ]
[ "What", "are", "the", "different", "card", "type", "codes", "?" ]
customers_card_transactions
SELECT count(DISTINCT card_type_code) FROM Customers_Cards
Show the number of card types.
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[ "select", "count", "(", "distinct", "card_type_code", ")", "from", "customers_cards" ]
[ "Show", "the", "number", "of", "card", "types", "." ]
customers_card_transactions
SELECT count(DISTINCT card_type_code) FROM Customers_Cards
How many different card types are there?
[ "SELECT", "count", "(", "DISTINCT", "card_type_code", ")", "FROM", "Customers_Cards" ]
[ "select", "count", "(", "distinct", "card_type_code", ")", "from", "customers_cards" ]
[ "How", "many", "different", "card", "types", "are", "there", "?" ]
customers_card_transactions
SELECT DISTINCT transaction_type FROM Financial_Transactions
Show all transaction types.
[ "SELECT", "DISTINCT", "transaction_type", "FROM", "Financial_Transactions" ]
[ "select", "distinct", "transaction_type", "from", "financial_transactions" ]
[ "Show", "all", "transaction", "types", "." ]
customers_card_transactions
SELECT DISTINCT transaction_type FROM Financial_Transactions
What are the different types of transactions?
[ "SELECT", "DISTINCT", "transaction_type", "FROM", "Financial_Transactions" ]
[ "select", "distinct", "transaction_type", "from", "financial_transactions" ]
[ "What", "are", "the", "different", "types", "of", "transactions", "?" ]
customers_card_transactions
SELECT count(DISTINCT transaction_type) FROM Financial_Transactions
Show the number of transaction types.
[ "SELECT", "count", "(", "DISTINCT", "transaction_type", ")", "FROM", "Financial_Transactions" ]
[ "select", "count", "(", "distinct", "transaction_type", ")", "from", "financial_transactions" ]
[ "Show", "the", "number", "of", "transaction", "types", "." ]
customers_card_transactions
SELECT count(DISTINCT transaction_type) FROM Financial_Transactions
How many different types of transactions are there?
[ "SELECT", "count", "(", "DISTINCT", "transaction_type", ")", "FROM", "Financial_Transactions" ]
[ "select", "count", "(", "distinct", "transaction_type", ")", "from", "financial_transactions" ]
[ "How", "many", "different", "types", "of", "transactions", "are", "there", "?" ]
customers_card_transactions
SELECT avg(transaction_amount) , sum(transaction_amount) FROM Financial_transactions
What is the average and total transaction amount?
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[ "What", "is", "the", "average", "and", "total", "transaction", "amount", "?" ]
customers_card_transactions
SELECT avg(transaction_amount) , sum(transaction_amount) FROM Financial_transactions
Return the average transaction amount, as well as the total amount of all transactions.
[ "SELECT", "avg", "(", "transaction_amount", ")", ",", "sum", "(", "transaction_amount", ")", "FROM", "Financial_transactions" ]
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customers_card_transactions
SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code
Show the card type codes and the number of transactions.
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[ "Show", "the", "card", "type", "codes", "and", "the", "number", "of", "transactions", "." ]
customers_card_transactions
SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code
What are the different card types, and how many transactions have been made with each?
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[ "What", "are", "the", "different", "card", "types", ",", "and", "how", "many", "transactions", "have", "been", "made", "with", "each", "?" ]
customers_card_transactions
SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type
Show the transaction type and the number of transactions.
[ "SELECT", "transaction_type", ",", "count", "(", "*", ")", "FROM", "Financial_transactions", "GROUP", "BY", "transaction_type" ]
[ "select", "transaction_type", ",", "count", "(", "*", ")", "from", "financial_transactions", "group", "by", "transaction_type" ]
[ "Show", "the", "transaction", "type", "and", "the", "number", "of", "transactions", "." ]
customers_card_transactions
SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type
What are the different transaction types, and how many transactions of each have taken place?
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[ "select", "transaction_type", ",", "count", "(", "*", ")", "from", "financial_transactions", "group", "by", "transaction_type" ]
[ "What", "are", "the", "different", "transaction", "types", ",", "and", "how", "many", "transactions", "of", "each", "have", "taken", "place", "?" ]
customers_card_transactions
SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1
What is the transaction type that has processed the greatest total amount in transactions?
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[ "What", "is", "the", "transaction", "type", "that", "has", "processed", "the", "greatest", "total", "amount", "in", "transactions", "?" ]
customers_card_transactions
SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1
Return the type of transaction with the highest total amount.
[ "SELECT", "transaction_type", "FROM", "Financial_transactions", "GROUP", "BY", "transaction_type", "ORDER", "BY", "sum", "(", "transaction_amount", ")", "DESC", "LIMIT", "1" ]
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[ "Return", "the", "type", "of", "transaction", "with", "the", "highest", "total", "amount", "." ]
customers_card_transactions
SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id
Show the account id and the number of transactions for each account
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[ "Show", "the", "account", "id", "and", "the", "number", "of", "transactions", "for", "each", "account" ]
customers_card_transactions
SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id
What are the different account ids that have made financial transactions, as well as how many transactions correspond to each?
[ "SELECT", "account_id", ",", "count", "(", "*", ")", "FROM", "Financial_transactions", "GROUP", "BY", "account_id" ]
[ "select", "account_id", ",", "count", "(", "*", ")", "from", "financial_transactions", "group", "by", "account_id" ]
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race_track
SELECT count(*) FROM track
How many tracks do we have?
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[ "select", "count", "(", "*", ")", "from", "track" ]
[ "How", "many", "tracks", "do", "we", "have", "?" ]
race_track
SELECT count(*) FROM track
Count the number of tracks.
[ "SELECT", "count", "(", "*", ")", "FROM", "track" ]
[ "select", "count", "(", "*", ")", "from", "track" ]
[ "Count", "the", "number", "of", "tracks", "." ]
race_track
SELECT name , LOCATION FROM track
Show the name and location for all tracks.
[ "SELECT", "name", ",", "LOCATION", "FROM", "track" ]
[ "select", "name", ",", "location", "from", "track" ]
[ "Show", "the", "name", "and", "location", "for", "all", "tracks", "." ]
race_track
SELECT name , LOCATION FROM track
What are the names and locations of all tracks?
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[ "select", "name", ",", "location", "from", "track" ]
[ "What", "are", "the", "names", "and", "locations", "of", "all", "tracks", "?" ]
race_track
SELECT name , seating FROM track WHERE year_opened > 2000 ORDER BY seating
Show names and seatings, ordered by seating for all tracks opened after 2000.
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[ "select", "name", ",", "seating", "from", "track", "where", "year_opened", ">", "value", "order", "by", "seating" ]
[ "Show", "names", "and", "seatings", ",", "ordered", "by", "seating", "for", "all", "tracks", "opened", "after", "2000", "." ]
race_track
SELECT name , seating FROM track WHERE year_opened > 2000 ORDER BY seating
What are the names and seatings for all tracks opened after 2000, ordered by seating?
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[ "What", "are", "the", "names", "and", "seatings", "for", "all", "tracks", "opened", "after", "2000", ",", "ordered", "by", "seating", "?" ]
race_track
SELECT name , LOCATION , seating FROM track ORDER BY year_opened DESC LIMIT 1
What is the name, location and seating for the most recently opened track?
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[ "What", "is", "the", "name", ",", "location", "and", "seating", "for", "the", "most", "recently", "opened", "track", "?" ]
race_track
SELECT name , LOCATION , seating FROM track ORDER BY year_opened DESC LIMIT 1
Return the name, location, and seating of the track that was opened in the most recent year.
[ "SELECT", "name", ",", "LOCATION", ",", "seating", "FROM", "track", "ORDER", "BY", "year_opened", "DESC", "LIMIT", "1" ]
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race_track
SELECT min(seating) , max(seating) , avg(seating) FROM track
What is the minimum, maximum, and average seating for all tracks.
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race_track
SELECT min(seating) , max(seating) , avg(seating) FROM track
Return the minimum, maximum, and average seating across all tracks.
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[ "Return", "the", "minimum", ",", "maximum", ",", "and", "average", "seating", "across", "all", "tracks", "." ]
race_track
SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track)
Show the name, location, open year for all tracks with a seating higher than the average.
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race_track
SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track)
What are the names, locations, and years of opening for tracks with seating higher than average?
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race_track
SELECT DISTINCT LOCATION FROM track
What are distinct locations where tracks are located?
[ "SELECT", "DISTINCT", "LOCATION", "FROM", "track" ]
[ "select", "distinct", "location", "from", "track" ]
[ "What", "are", "distinct", "locations", "where", "tracks", "are", "located", "?" ]
race_track
SELECT DISTINCT LOCATION FROM track
Give the different locations of tracks.
[ "SELECT", "DISTINCT", "LOCATION", "FROM", "track" ]
[ "select", "distinct", "location", "from", "track" ]
[ "Give", "the", "different", "locations", "of", "tracks", "." ]
race_track
SELECT count(*) FROM race
How many races are there?
[ "SELECT", "count", "(", "*", ")", "FROM", "race" ]
[ "select", "count", "(", "*", ")", "from", "race" ]
[ "How", "many", "races", "are", "there", "?" ]
race_track
SELECT count(*) FROM race
Count the number of races.
[ "SELECT", "count", "(", "*", ")", "FROM", "race" ]
[ "select", "count", "(", "*", ")", "from", "race" ]
[ "Count", "the", "number", "of", "races", "." ]
race_track
SELECT DISTINCT CLASS FROM race
What are the distinct classes that races can have?
[ "SELECT", "DISTINCT", "CLASS", "FROM", "race" ]
[ "select", "distinct", "class", "from", "race" ]
[ "What", "are", "the", "distinct", "classes", "that", "races", "can", "have", "?" ]
race_track
SELECT DISTINCT CLASS FROM race
Return the different classes of races.
[ "SELECT", "DISTINCT", "CLASS", "FROM", "race" ]
[ "select", "distinct", "class", "from", "race" ]
[ "Return", "the", "different", "classes", "of", "races", "." ]
race_track
SELECT name , CLASS , date FROM race
Show name, class, and date for all races.
[ "SELECT", "name", ",", "CLASS", ",", "date", "FROM", "race" ]
[ "select", "name", ",", "class", ",", "date", "from", "race" ]
[ "Show", "name", ",", "class", ",", "and", "date", "for", "all", "races", "." ]
race_track
SELECT name , CLASS , date FROM race
What are the names, classes, and dates for all races?
[ "SELECT", "name", ",", "CLASS", ",", "date", "FROM", "race" ]
[ "select", "name", ",", "class", ",", "date", "from", "race" ]
[ "What", "are", "the", "names", ",", "classes", ",", "and", "dates", "for", "all", "races", "?" ]
race_track
SELECT CLASS , count(*) FROM race GROUP BY CLASS
Show the race class and number of races in each class.
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[ "select", "class", ",", "count", "(", "*", ")", "from", "race", "group", "by", "class" ]
[ "Show", "the", "race", "class", "and", "number", "of", "races", "in", "each", "class", "." ]
race_track
SELECT CLASS , count(*) FROM race GROUP BY CLASS
What are the different classes of races, and how many races correspond to each?
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race_track
SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1
What is the race class with most number of races.
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race_track
SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1
Give the class of races that is most common.
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[ "Give", "the", "class", "of", "races", "that", "is", "most", "common", "." ]
race_track
SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2
List the race class with at least two races.
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[ "List", "the", "race", "class", "with", "at", "least", "two", "races", "." ]
race_track
SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2
What are the classes of races that have two or more corresponding races?
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[ "What", "are", "the", "classes", "of", "races", "that", "have", "two", "or", "more", "corresponding", "races", "?" ]
race_track
SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT'
What are the names for tracks without a race in class 'GT'.
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race_track
SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT'
Give the names of tracks that do not have a race in the class 'GT'.
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race_track
SELECT name FROM track WHERE track_id NOT IN (SELECT track_id FROM race)
Show all track names that have had no races.
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[ "Show", "all", "track", "names", "that", "have", "had", "no", "races", "." ]
race_track
SELECT name FROM track WHERE track_id NOT IN (SELECT track_id FROM race)
Return the names of tracks that have no had any races.
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race_track
SELECT year_opened FROM track WHERE seating BETWEEN 4000 AND 5000
Show year where a track with a seating at least 5000 opened and a track with seating no more than 4000 opened.
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race_track
SELECT year_opened FROM track WHERE seating BETWEEN 4000 AND 5000
What are the years of opening for tracks with seating between 4000 and 5000?
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race_track
SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id
Show the name of track and the number of races in each track.
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race_track
SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id
What are the names of different tracks, and how many races has each had?
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race_track
SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1
Show the name of track with most number of races.
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race_track
SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1
What is the name of the track that has had the greatest number of races?
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race_track
SELECT T1.name , T1.date , T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id
Show the name and date for each race and its track name.
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race_track
SELECT T1.name , T1.date , T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id
What are the names and dates of races, and the names of the tracks where they are held?
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race_track
SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1
Show the name and location of track with 1 race.
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race_track
SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1
What are the names and locations of tracks that have had exactly 1 race?
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[ "What", "are", "the", "names", "and", "locations", "of", "tracks", "that", "have", "had", "exactly", "1", "race", "?" ]
race_track
SELECT LOCATION FROM track WHERE seating > 90000 INTERSECT SELECT LOCATION FROM track WHERE seating < 70000
Find the locations where have both tracks with more than 90000 seats and tracks with less than 70000 seats.
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race_track
SELECT LOCATION FROM track WHERE seating > 90000 INTERSECT SELECT LOCATION FROM track WHERE seating < 70000
What are the locations that have both tracks with more than 90000 seats, and tracks with fewer than 70000 seats?
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coffee_shop
SELECT count(*) FROM member WHERE Membership_card = 'Black'
How many members have the black membership card?
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coffee_shop
SELECT count(*) , address FROM member GROUP BY address
Find the number of members living in each address.
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coffee_shop
SELECT name FROM member WHERE address = 'Harford' OR address = 'Waterbury'
Give me the names of members whose address is in Harford or Waterbury.
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coffee_shop
SELECT name , member_id FROM member WHERE Membership_card = 'Black' OR age < 30
Find the ids and names of members who are under age 30 or with black membership card.
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coffee_shop
SELECT Time_of_purchase , age , address FROM member ORDER BY Time_of_purchase
Find the purchase time, age and address of each member, and show the results in the order of purchase time.
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coffee_shop
SELECT Membership_card FROM member GROUP BY Membership_card HAVING count(*) > 5
Which membership card has more than 5 members?
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[ "Which", "membership", "card", "has", "more", "than", "5", "members", "?" ]
coffee_shop
SELECT address FROM member WHERE age < 30 INTERSECT SELECT address FROM member WHERE age > 40
Which address has both members younger than 30 and members older than 40?
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coffee_shop
SELECT membership_card FROM member WHERE address = 'Hartford' INTERSECT SELECT membership_card FROM member WHERE address = 'Waterbury'
What is the membership card held by both members living in Hartford and ones living in Waterbury address?
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coffee_shop
SELECT count(*) FROM member WHERE address != 'Hartford'
How many members are not living in Hartford?
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coffee_shop
SELECT address FROM member EXCEPT SELECT address FROM member WHERE Membership_card = 'Black'
Which address do not have any member with the black membership card?
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coffee_shop
SELECT address FROM shop ORDER BY open_year
Show the shop addresses ordered by their opening year.
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[ "select", "address", "from", "shop", "order", "by", "open_year" ]
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