db_id
stringlengths 3
31
| query
stringlengths 18
577
| question
stringlengths 3
224
| schema
stringlengths 177
6.14k
| primary_keys
stringlengths 16
545
| foreign_keys
stringlengths 16
1.48k
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insurance_fnol
|
SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4
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Find the policy types more than 4 customers use. Show their type code.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements
|
Find the total and average amount of settlements.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements
|
Return the sum and average of all settlement amounts.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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
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Find the name of services that have been used for more than 2 times in first notification of loss.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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
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Which services have been used more than twice in first notification of loss? Return the service name.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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
|
What is the effective date of the claim that has the largest amount of total settlement?
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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
|
Find the claim that has the largest total settlement amount. Return the effective date of the claim.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
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How many policies are listed for the customer named "Dayana Robel"?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
|
Count the total number of policies used by the customer named "Dayana Robel".
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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
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What is the name of the customer who has the most policies listed?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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
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Which customer uses the most policies? Give me the customer name.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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"
|
What are all the policy types of the customer named "Dayana Robel"?
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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"
|
Tell me the types of the policy used by the customer named "Dayana Robel".
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)
|
What are all the policy types of the customer that has the most policies listed?
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)
|
List all the policy types used by the customer enrolled in the most policies.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
SELECT service_name FROM services ORDER BY service_name
|
List all the services in the alphabetical order.
|
[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
SELECT service_name FROM services ORDER BY service_name
|
Give me a list of all the service names sorted alphabetically.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT count(*) FROM services
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How many services are there?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT count(*) FROM services
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Count the total number of available services.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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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
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Find the names of users who do not have a first notification of loss record.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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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
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Which customers do not have a first notification of loss record? Give me the customer names.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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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"
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Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy".
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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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"
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Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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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.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"
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Find the names of customers who have used both the service "Close a policy" and the service "New policy application".
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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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.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"
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Which customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
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Find the IDs of customers whose name contains "Diana".
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
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What are the IDs of customers who have "Diana" in part of their names?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT max(settlement_amount) , min(settlement_amount) FROM settlements
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What are the maximum and minimum settlement amount on record?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT max(settlement_amount) , min(settlement_amount) FROM settlements
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Find the maximum and minimum settlement amount.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC
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List all the customers in increasing order of IDs.
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
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insurance_fnol
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SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC
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What is the ordered list of customer ids?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
|
[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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%"
|
Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana"
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
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[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
insurance_fnol
|
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%"
|
What are the open and close dates of all the policies used by the customer who have "Diana" in part of their names?
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[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);
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[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id
|
[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id
|
medicine_enzyme_interaction
|
SELECT count(*) FROM enzyme
|
How many kinds of enzymes are there?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT count(*) FROM enzyme
|
What is the total count of enzymes?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name FROM enzyme ORDER BY name DESC
|
List the name of enzymes in descending lexicographical order.
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name FROM enzyme ORDER BY name DESC
|
What are the names of enzymes in descending order?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name , LOCATION FROM enzyme
|
List the names and the locations that the enzymes can make an effect.
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name , LOCATION FROM enzyme
|
What are the names and locations of all enzymes listed?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT max(OMIM) FROM enzyme
|
What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT max(OMIM) FROM enzyme
|
What is the maximum OMIM value in the database?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
|
What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
|
What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name FROM enzyme WHERE product != 'Heme'
|
What are the names of enzymes who does not produce 'Heme'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name FROM enzyme WHERE product != 'Heme'
|
What are the names of enzymes whose product is not 'Heme'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'
|
What are the names and trade names of the medicines which has 'Yes' value in the FDA record?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'
|
What are the names and trade names of the medcines that are FDA approved?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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'
|
What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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'
|
What are the names of the enzymes used in the medicine Amisulpride that acts as inhibitors?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What are the ids and names of the medicine that can interact with two or more enzymes?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
For every medicine id, what are the names of the medicines that can interact with more than one enzyme?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What is the id and name of the enzyme with most number of medicines that can interact as 'activator'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What is the id and name of the enzyme that can interact with the most medicines as an activator?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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'
|
What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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'
|
What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1
|
What is the most common interaction type between enzymes and medicine? And how many are there?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1
|
What are the most common types of interactions between enzymes and medicine, and how many types are there?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT count(*) FROM medicine WHERE FDA_approved = 'No'
|
How many medicines have the FDA approval status 'No' ?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT count(*) FROM medicine WHERE FDA_approved = 'No'
|
How many medicines were not approved by the FDA?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );
|
How many enzymes do not have any interactions?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );
|
What is the count of enzymes without any interactions?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What is the id and trade name of the medicines can interact with at least 3 enzymes?
|
[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
|
[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
|
[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
|
medicine_enzyme_interaction
|
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
|
What are the ids and trade names of the medicine that can interact with at least 3 enzymes?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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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'
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What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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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'
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What are the different names, locations, and products of the enzymes that are capable inhibitor interactions?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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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 = 'activitor'
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List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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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 = 'activitor'
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What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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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'
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Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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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'
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What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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SELECT count(DISTINCT FDA_approved) FROM medicine
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How many distinct FDA approval statuses are there for the medicines?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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SELECT count(DISTINCT FDA_approved) FROM medicine
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How many different FDA approval statuses exist for medicines?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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SELECT name FROM enzyme WHERE name LIKE "%ALA%"
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Which enzyme names have the substring "ALA"?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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SELECT name FROM enzyme WHERE name LIKE "%ALA%"
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What are the names of enzymes that include the string 'ALA'?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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SELECT trade_name , count(*) FROM medicine GROUP BY trade_name
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find the number of medicines offered by each trade.
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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medicine_enzyme_interaction
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SELECT trade_name , count(*) FROM medicine GROUP BY trade_name
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How many medicines are offered by each trade name?
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[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);
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[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id
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[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id
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university_basketball
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SELECT school , nickname FROM university ORDER BY founded
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List all schools and their nicknames in the order of founded year.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT school , nickname FROM university ORDER BY founded
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What are the different schools and their nicknames, ordered by their founding years?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT school , LOCATION FROM university WHERE affiliation = 'Public'
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List all public schools and their locations.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT school , LOCATION FROM university WHERE affiliation = 'Public'
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What are the public schools and what are their locations?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
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When was the school with the largest enrollment founded?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
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Return the founded year for the school with the largest enrollment.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1
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Find the founded year of the newest non public school.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1
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What is the founded year of the non public school that was founded most recently?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT count(DISTINCT school_id) FROM basketball_match
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How many schools are in the basketball match?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT count(DISTINCT school_id) FROM basketball_match
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Count the number of schools that have had basketball matches.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
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What is the highest acc percent score in the competition?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
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Return the highest acc percent across all basketball matches.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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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
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What is the primary conference of the school that has the lowest acc percent score in the competition?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
|
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
|
Return the primary conference of the school with the lowest acc percentage score.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
|
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
|
What is the team name and acc regular season score of the school that was founded for the longest time?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
|
[Primary Keys]: basketball_match : team_id, university : school_id
|
[Foreign Keys]: basketball_match : school_id = university : school_id
|
university_basketball
|
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
|
Return the name of the team and the acc during the regular season for the school that was founded the earliest.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
|
[Primary Keys]: basketball_match : team_id, university : school_id
|
[Foreign Keys]: basketball_match : school_id = university : school_id
|
university_basketball
|
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'
|
Find the location and all games score of the school that has Clemson as its team name.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
|
[Primary Keys]: basketball_match : team_id, university : school_id
|
[Foreign Keys]: basketball_match : school_id = university : school_id
|
university_basketball
|
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'
|
What are the all games score and location of the school called Clemson?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
|
[Primary Keys]: basketball_match : team_id, university : school_id
|
[Foreign Keys]: basketball_match : school_id = university : school_id
|
university_basketball
|
SELECT avg(enrollment) FROM university WHERE founded < 1850
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What are the average enrollment size of the universities that are founded before 1850?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT avg(enrollment) FROM university WHERE founded < 1850
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Return the average enrollment of universities founded before 1850.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1
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Show the enrollment and primary_conference of the oldest college.
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1
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What are the enrollment and primary conference for the university which was founded the earliest?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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university_basketball
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SELECT sum(enrollment) , min(enrollment) FROM university
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What is the total and minimum enrollment of all schools?
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[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);
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[Primary Keys]: basketball_match : team_id, university : school_id
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[Foreign Keys]: basketball_match : school_id = university : school_id
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