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insurance_fnol
Find the policy types more than 4 customers use. Show their type code.
SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Find", "the", "policy", "types", "more", "than", "4", "customers", "use", ".", "Show", "their", "type", "code", "." ]
insurance_fnol
Find the total and average amount of settlements.
SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Find", "the", "total", "and", "average", "amount", "of", "settlements", "." ]
insurance_fnol
Return the sum and average of all settlement amounts.
SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Return", "the", "sum", "and", "average", "of", "all", "settlement", "amounts", "." ]
insurance_fnol
Find the name of services that have been used for more than 2 times in first notification of loss.
SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Find", "the", "name", "of", "services", "that", "have", "been", "used", "for", "more", "than", "2", "times", "in", "first", "notification", "of", "loss", "." ]
insurance_fnol
Which services have been used more than twice in first notification of loss? Return the service name.
SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Which", "services", "have", "been", "used", "more", "than", "twice", "in", "first", "notification", "of", "loss", "?", "Return", "the", "service", "name", "." ]
insurance_fnol
What is the effective date of the claim that has the largest amount of total settlement?
SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "What", "is", "the", "effective", "date", "of", "the", "claim", "that", "has", "the", "largest", "amount", "of", "total", "settlement", "?" ]
insurance_fnol
Find the claim that has the largest total settlement amount. Return the effective date of the claim.
SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Find", "the", "claim", "that", "has", "the", "largest", "total", "settlement", "amount", ".", "Return", "the", "effective", "date", "of", "the", "claim", "." ]
insurance_fnol
How many policies are listed for the customer named "Dayana Robel"?
SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "How", "many", "policies", "are", "listed", "for", "the", "customer", "named", "``", "Dayana", "Robel", "''", "?" ]
insurance_fnol
Count the total number of policies used by the customer named "Dayana Robel".
SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Count", "the", "total", "number", "of", "policies", "used", "by", "the", "customer", "named", "``", "Dayana", "Robel", "''", "." ]
insurance_fnol
What is the name of the customer who has the most policies listed?
SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "What", "is", "the", "name", "of", "the", "customer", "who", "has", "the", "most", "policies", "listed", "?" ]
insurance_fnol
Which customer uses the most policies? Give me the customer name.
SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Which", "customer", "uses", "the", "most", "policies", "?", "Give", "me", "the", "customer", "name", "." ]
insurance_fnol
What are all the policy types of the customer named "Dayana Robel"?
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "What", "are", "all", "the", "policy", "types", "of", "the", "customer", "named", "``", "Dayana", "Robel", "''", "?" ]
insurance_fnol
Tell me the types of the policy used by the customer named "Dayana Robel".
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Tell", "me", "the", "types", "of", "the", "policy", "used", "by", "the", "customer", "named", "``", "Dayana", "Robel", "''", "." ]
insurance_fnol
What are all the policy types of the customer that has the most policies listed?
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.custo...
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
List all the policy types used by the customer enrolled in the most policies.
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.custo...
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "List", "all", "the", "policy", "types", "used", "by", "the", "customer", "enrolled", "in", "the", "most", "policies", "." ]
insurance_fnol
List all the services in the alphabetical order.
SELECT service_name FROM services ORDER BY service_name
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "List", "all", "the", "services", "in", "the", "alphabetical", "order", "." ]
insurance_fnol
Give me a list of all the service names sorted alphabetically.
SELECT service_name FROM services ORDER BY service_name
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Give", "me", "a", "list", "of", "all", "the", "service", "names", "sorted", "alphabetically", "." ]
insurance_fnol
How many services are there?
SELECT count(*) FROM services
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "How", "many", "services", "are", "there", "?" ]
insurance_fnol
Count the total number of available services.
SELECT count(*) FROM services
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Count", "the", "total", "number", "of", "available", "services", "." ]
insurance_fnol
Find the names of users who do not have a first notification of loss record.
SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Find", "the", "names", "of", "users", "who", "do", "not", "have", "a", "first", "notification", "of", "loss", "record", "." ]
insurance_fnol
Which customers do not have a first notification of loss record? Give me the customer names.
SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Which", "customers", "do", "not", "have", "a", "first", "notification", "of", "loss", "record", "?", "Give", "me", "the", "customer", "names", "." ]
insurance_fnol
Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy".
SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names.
SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
Find the names of customers who have used both the service "Close a policy" and the service "New policy application".
SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.cus...
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
Which customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names.
SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.cus...
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
Find the IDs of customers whose name contains "Diana".
SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
What are the IDs of customers who have "Diana" in part of their names?
SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "What", "are", "the", "IDs", "of", "customers", "who", "have", "``", "Diana", "''", "in", "part", "of", "their", "names", "?" ]
insurance_fnol
What are the maximum and minimum settlement amount on record?
SELECT max(settlement_amount) , min(settlement_amount) FROM settlements
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "What", "are", "the", "maximum", "and", "minimum", "settlement", "amount", "on", "record", "?" ]
insurance_fnol
Find the maximum and minimum settlement amount.
SELECT max(settlement_amount) , min(settlement_amount) FROM settlements
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "Find", "the", "maximum", "and", "minimum", "settlement", "amount", "." ]
insurance_fnol
List all the customers in increasing order of IDs.
SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "List", "all", "the", "customers", "in", "increasing", "order", "of", "IDs", "." ]
insurance_fnol
What is the ordered list of customer ids?
SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
[ "What", "is", "the", "ordered", "list", "of", "customer", "ids", "?" ]
insurance_fnol
Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana"
SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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insurance_fnol
What are the open and close dates of all the policies used by the customer who have "Diana" in part of their names?
SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"
Customers: Customer_ID (number), Customer_name (text) | Services: Service_ID (number), Service_name (text) | Available_Policies: Policy_ID (number), policy_type_code (text), Customer_Phone (text) | Customers_Policies: Customer_ID (number), Policy_ID (number), Date_Opened (time), Date_Closed (time) | First_Notification_...
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medicine_enzyme_interaction
How many kinds of enzymes are there?
SELECT count(*) FROM enzyme
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "kinds", "of", "enzymes", "are", "there", "?" ]
medicine_enzyme_interaction
What is the total count of enzymes?
SELECT count(*) FROM enzyme
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "is", "the", "total", "count", "of", "enzymes", "?" ]
medicine_enzyme_interaction
List the name of enzymes in descending lexicographical order.
SELECT name FROM enzyme ORDER BY name DESC
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "List", "the", "name", "of", "enzymes", "in", "descending", "lexicographical", "order", "." ]
medicine_enzyme_interaction
What are the names of enzymes in descending order?
SELECT name FROM enzyme ORDER BY name DESC
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "of", "enzymes", "in", "descending", "order", "?" ]
medicine_enzyme_interaction
List the names and the locations that the enzymes can make an effect.
SELECT name , LOCATION FROM enzyme
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "List", "the", "names", "and", "the", "locations", "that", "the", "enzymes", "can", "make", "an", "effect", "." ]
medicine_enzyme_interaction
What are the names and locations of all enzymes listed?
SELECT name , LOCATION FROM enzyme
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?
SELECT max(OMIM) FROM enzyme
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "is", "the", "maximum", "Online", "Mendelian", "Inheritance", "in", "Man", "(", "OMIM", ")", "value", "of", "the", "enzymes", "?" ]
medicine_enzyme_interaction
What is the maximum OMIM value in the database?
SELECT max(OMIM) FROM enzyme
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "is", "the", "maximum", "OMIM", "value", "in", "the", "database", "?" ]
medicine_enzyme_interaction
What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'?
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "is", "the", "product", ",", "chromosome", ",", "and", "porphyria", "of", "the", "enzymes", "located", "at", "'Cytosol", "'", "?" ]
medicine_enzyme_interaction
What are the names of enzymes who does not produce 'Heme'?
SELECT name FROM enzyme WHERE product != 'Heme'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "of", "enzymes", "who", "does", "not", "produce", "'Heme", "'", "?" ]
medicine_enzyme_interaction
What are the names of enzymes whose product is not 'Heme'?
SELECT name FROM enzyme WHERE product != 'Heme'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "of", "enzymes", "whose", "product", "is", "not", "'Heme", "'", "?" ]
medicine_enzyme_interaction
What are the names and trade names of the medicines which has 'Yes' value in the FDA record?
SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "and", "trade", "names", "of", "the", "medicines", "which", "has", "'Yes", "'", "value", "in", "the", "FDA", "record", "?" ]
medicine_enzyme_interaction
What are the names and trade names of the medcines that are FDA approved?
SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "and", "trade", "names", "of", "the", "medcines", "that", "are", "FDA", "approved", "?" ]
medicine_enzyme_interaction
What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?
SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What are the names of the enzymes used in the medicine Amisulpride that acts as inhibitors?
SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "of", "the", "enzymes", "used", "in", "the", "medicine", "Amisulpride", "that", "acts", "as", "inhibitors", "?" ]
medicine_enzyme_interaction
What are the ids and names of the medicine that can interact with two or more enzymes?
SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "ids", "and", "names", "of", "the", "medicine", "that", "can", "interact", "with", "two", "or", "more", "enzymes", "?" ]
medicine_enzyme_interaction
For every medicine id, what are the names of the medicines that can interact with more than one enzyme?
SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.
SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions?
SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the id and name of the enzyme with most number of medicines that can interact as 'activator'?
SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the id and name of the enzyme that can interact with the most medicines as an activator?
SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What is the most common interaction type between enzymes and medicine? And how many are there?
SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "is", "the", "most", "common", "interaction", "type", "between", "enzymes", "and", "medicine", "?", "And", "how", "many", "are", "there", "?" ]
medicine_enzyme_interaction
What are the most common types of interactions between enzymes and medicine, and how many types are there?
SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
How many medicines have the FDA approval status 'No' ?
SELECT count(*) FROM medicine WHERE FDA_approved = 'No'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "medicines", "have", "the", "FDA", "approval", "status", "'No", "'", "?" ]
medicine_enzyme_interaction
How many medicines were not approved by the FDA?
SELECT count(*) FROM medicine WHERE FDA_approved = 'No'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "medicines", "were", "not", "approved", "by", "the", "FDA", "?" ]
medicine_enzyme_interaction
How many enzymes do not have any interactions?
SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "enzymes", "do", "not", "have", "any", "interactions", "?" ]
medicine_enzyme_interaction
What is the count of enzymes without any interactions?
SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "is", "the", "count", "of", "enzymes", "without", "any", "interactions", "?" ]
medicine_enzyme_interaction
What is the id and trade name of the medicines can interact with at least 3 enzymes?
SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What are the ids and trade names of the medicine that can interact with at least 3 enzymes?
SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?
SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "distinct", "name", ",", "location", "and", "products", "of", "the", "enzymes", "which", "has", "any", "'inhibitor", "'", "interaction", "?" ]
medicine_enzyme_interaction
What are the different names, locations, and products of the enzymes that are capable inhibitor interactions?
SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "different", "names", ",", "locations", ",", "and", "products", "of", "the", "enzymes", "that", "are", "capable", "inhibitor", "interactions", "?" ]
medicine_enzyme_interaction
List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.
SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activ...
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
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medicine_enzyme_interaction
What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes?
SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activ...
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "medicine", "and", "trade", "names", "that", "can", "interact", "as", "an", "inhibitor", "and", "activitor", "with", "enzymes", "?" ]
medicine_enzyme_interaction
Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.
SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "Show", "the", "medicine", "names", "and", "trade", "names", "that", "can", "not", "interact", "with", "the", "enzyme", "with", "product", "'Heme", "'", "." ]
medicine_enzyme_interaction
What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'?
SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "medicine", "and", "trade", "names", "that", "can", "not", "interact", "with", "the", "enzyme", "with", "the", "product", "'Heme", "'", "?" ]
medicine_enzyme_interaction
How many distinct FDA approval statuses are there for the medicines?
SELECT count(DISTINCT FDA_approved) FROM medicine
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "distinct", "FDA", "approval", "statuses", "are", "there", "for", "the", "medicines", "?" ]
medicine_enzyme_interaction
How many different FDA approval statuses exist for medicines?
SELECT count(DISTINCT FDA_approved) FROM medicine
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "different", "FDA", "approval", "statuses", "exist", "for", "medicines", "?" ]
medicine_enzyme_interaction
Which enzyme names have the substring "ALA"?
SELECT name FROM enzyme WHERE name LIKE "%ALA%"
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "Which", "enzyme", "names", "have", "the", "substring", "``", "ALA", "''", "?" ]
medicine_enzyme_interaction
What are the names of enzymes that include the string 'ALA'?
SELECT name FROM enzyme WHERE name LIKE "%ALA%"
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "What", "are", "the", "names", "of", "enzymes", "that", "include", "the", "string", "'ALA", "'", "?" ]
medicine_enzyme_interaction
find the number of medicines offered by each trade.
SELECT trade_name , count(*) FROM medicine GROUP BY trade_name
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "find", "the", "number", "of", "medicines", "offered", "by", "each", "trade", "." ]
medicine_enzyme_interaction
How many medicines are offered by each trade name?
SELECT trade_name , count(*) FROM medicine GROUP BY trade_name
medicine: id (number), name (text), Trade_Name (text), FDA_approved (text) | enzyme: id (number), name (text), Location (text), Product (text), Chromosome (text), OMIM (number), Porphyria (text) | medicine_enzyme_interaction: enzyme_id (number), medicine_id (number), interaction_type (text)
[ "How", "many", "medicines", "are", "offered", "by", "each", "trade", "name", "?" ]
university_basketball
List all schools and their nicknames in the order of founded year.
SELECT school , nickname FROM university ORDER BY founded
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "List", "all", "schools", "and", "their", "nicknames", "in", "the", "order", "of", "founded", "year", "." ]
university_basketball
What are the different schools and their nicknames, ordered by their founding years?
SELECT school , nickname FROM university ORDER BY founded
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "are", "the", "different", "schools", "and", "their", "nicknames", ",", "ordered", "by", "their", "founding", "years", "?" ]
university_basketball
List all public schools and their locations.
SELECT school , LOCATION FROM university WHERE affiliation = 'Public'
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "List", "all", "public", "schools", "and", "their", "locations", "." ]
university_basketball
What are the public schools and what are their locations?
SELECT school , LOCATION FROM university WHERE affiliation = 'Public'
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "are", "the", "public", "schools", "and", "what", "are", "their", "locations", "?" ]
university_basketball
When was the school with the largest enrollment founded?
SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "When", "was", "the", "school", "with", "the", "largest", "enrollment", "founded", "?" ]
university_basketball
Return the founded year for the school with the largest enrollment.
SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Return", "the", "founded", "year", "for", "the", "school", "with", "the", "largest", "enrollment", "." ]
university_basketball
Find the founded year of the newest non public school.
SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Find", "the", "founded", "year", "of", "the", "newest", "non", "public", "school", "." ]
university_basketball
What is the founded year of the non public school that was founded most recently?
SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "is", "the", "founded", "year", "of", "the", "non", "public", "school", "that", "was", "founded", "most", "recently", "?" ]
university_basketball
How many schools are in the basketball match?
SELECT count(DISTINCT school_id) FROM basketball_match
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "How", "many", "schools", "are", "in", "the", "basketball", "match", "?" ]
university_basketball
Count the number of schools that have had basketball matches.
SELECT count(DISTINCT school_id) FROM basketball_match
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Count", "the", "number", "of", "schools", "that", "have", "had", "basketball", "matches", "." ]
university_basketball
What is the highest acc percent score in the competition?
SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "is", "the", "highest", "acc", "percent", "score", "in", "the", "competition", "?" ]
university_basketball
Return the highest acc percent across all basketball matches.
SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Return", "the", "highest", "acc", "percent", "across", "all", "basketball", "matches", "." ]
university_basketball
What is the primary conference of the school that has the lowest acc percent score in the competition?
SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "is", "the", "primary", "conference", "of", "the", "school", "that", "has", "the", "lowest", "acc", "percent", "score", "in", "the", "competition", "?" ]
university_basketball
Return the primary conference of the school with the lowest acc percentage score.
SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Return", "the", "primary", "conference", "of", "the", "school", "with", "the", "lowest", "acc", "percentage", "score", "." ]
university_basketball
What is the team name and acc regular season score of the school that was founded for the longest time?
SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "is", "the", "team", "name", "and", "acc", "regular", "season", "score", "of", "the", "school", "that", "was", "founded", "for", "the", "longest", "time", "?" ]
university_basketball
Return the name of the team and the acc during the regular season for the school that was founded the earliest.
SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Return", "the", "name", "of", "the", "team", "and", "the", "acc", "during", "the", "regular", "season", "for", "the", "school", "that", "was", "founded", "the", "earliest", "." ]
university_basketball
Find the location and all games score of the school that has Clemson as its team name.
SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Find", "the", "location", "and", "all", "games", "score", "of", "the", "school", "that", "has", "Clemson", "as", "its", "team", "name", "." ]
university_basketball
What are the all games score and location of the school called Clemson?
SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "are", "the", "all", "games", "score", "and", "location", "of", "the", "school", "called", "Clemson", "?" ]
university_basketball
What are the average enrollment size of the universities that are founded before 1850?
SELECT avg(enrollment) FROM university WHERE founded < 1850
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "are", "the", "average", "enrollment", "size", "of", "the", "universities", "that", "are", "founded", "before", "1850", "?" ]
university_basketball
Return the average enrollment of universities founded before 1850.
SELECT avg(enrollment) FROM university WHERE founded < 1850
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Return", "the", "average", "enrollment", "of", "universities", "founded", "before", "1850", "." ]
university_basketball
Show the enrollment and primary_conference of the oldest college.
SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "Show", "the", "enrollment", "and", "primary_conference", "of", "the", "oldest", "college", "." ]
university_basketball
What are the enrollment and primary conference for the university which was founded the earliest?
SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "are", "the", "enrollment", "and", "primary", "conference", "for", "the", "university", "which", "was", "founded", "the", "earliest", "?" ]
university_basketball
What is the total and minimum enrollment of all schools?
SELECT sum(enrollment) , min(enrollment) FROM university
basketball_match: Team_ID (number), School_ID (number), Team_Name (text), ACC_Regular_Season (text), ACC_Percent (text), ACC_Home (text), ACC_Road (text), All_Games (text), All_Games_Percent (number), All_Home (text), All_Road (text), All_Neutral (text) | university: School_ID (number), School (text), Location (text), ...
[ "What", "is", "the", "total", "and", "minimum", "enrollment", "of", "all", "schools", "?" ]