brief_instruction stringlengths 16 224 | instruction stringlengths 687 8.77k | output stringlengths 18 577 |
|---|---|---|
Find the policy types more than 4 customers use. Show their type code. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 |
Find the total and average amount of settlements. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements |
Return the sum and average of all settlement amounts. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements |
Find the name of services that have been used for more than 2 times in first notification of loss. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 |
Which services have been used more than twice in first notification of loss? Return the service name. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 |
What is the effective date of the claim that has the largest amount of total settlement? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 |
How many policies are listed for the customer named "Dayana Robel"? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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". |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel" |
What is the name of the customer who has the most policies listed? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 |
Which customer uses the most policies? Give me the customer name. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 named "Dayana Robel"? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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". |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 that has the most policies listed? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.custo... |
List all the policy types used by the customer enrolled in the most policies. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.custo... |
List all the services in the alphabetical order. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT service_name FROM services ORDER BY service_name |
Give me a list of all the service names sorted alphabetically. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT service_name FROM services ORDER BY service_name |
How many services are there? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT count(*) FROM services |
Count the total number of available services. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT count(*) FROM services |
Find the names of users who do not have a first notification of loss record. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 |
Which customers do not have a first notification of loss record? Give me the customer names. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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 |
Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy". |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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" |
Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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" |
Find the names of customers who have used both the service "Close a policy" and the service "New policy application". |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.cus... |
Which customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.cus... |
Find the IDs of customers whose name contains "Diana". |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" |
What are the IDs of customers who have "Diana" in part of their names? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" |
What are the maximum and minimum settlement amount on record? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements |
Find the maximum and minimum settlement amount. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements |
List all the customers in increasing order of IDs. |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC |
What is the ordered list of customer ids? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC |
Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana" |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: customers
columns : [['customer id', 'number'], ['customer name', 'text']]
-- Table: services
columns : [['service id', 'number'], ['service name', 'text']]
-- Table: available policies
columns : [['policy id', 'number'], ['policy type co... | 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%" |
How many kinds of enzymes are there? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(*) FROM enzyme |
What is the total count of enzymes? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(*) FROM enzyme |
List the name of enzymes in descending lexicographical order. |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name FROM enzyme ORDER BY name DESC |
What are the names of enzymes in descending order? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name FROM enzyme ORDER BY name DESC |
List the names and the locations that the enzymes can make an effect. |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name , LOCATION FROM enzyme |
What are the names and locations of all enzymes listed? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name , LOCATION FROM enzyme |
What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT max(OMIM) FROM enzyme |
What is the maximum OMIM value in the database? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT max(OMIM) FROM enzyme |
What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' |
What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' |
What are the names of enzymes who does not produce 'Heme'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name FROM enzyme WHERE product != 'Heme' |
What are the names of enzymes whose product is not 'Heme'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name FROM enzyme WHERE product != 'Heme' |
What are the names and trade names of the medicines which has 'Yes' value in the FDA record? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' |
What are the names and trade names of the medcines that are FDA approved? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' |
What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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 ids and names of the medicine that can interact with two or more enzymes? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with. |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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 is the id and name of the enzyme with most number of medicines that can interact as 'activator'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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 interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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 most common interaction type between enzymes and medicine? And how many are there? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 |
How many medicines have the FDA approval status 'No' ? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' |
How many medicines were not approved by the FDA? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' |
How many enzymes do not have any interactions? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); |
What is the count of enzymes without any interactions? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); |
What is the id and trade name of the medicines can interact with at least 3 enzymes? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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 distinct name, location and products of the enzymes which has any 'inhibitor' interaction? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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' |
What are the different names, locations, and products of the enzymes that are capable inhibitor interactions? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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' |
List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes. |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activ... |
What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activ... |
Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'. |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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' |
What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | 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' |
How many distinct FDA approval statuses are there for the medicines? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(DISTINCT FDA_approved) FROM medicine |
How many different FDA approval statuses exist for medicines? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT count(DISTINCT FDA_approved) FROM medicine |
Which enzyme names have the substring "ALA"? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name FROM enzyme WHERE name LIKE "%ALA%" |
What are the names of enzymes that include the string 'ALA'? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT name FROM enzyme WHERE name LIKE "%ALA%" |
find the number of medicines offered by each trade. |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name |
How many medicines are offered by each trade name? |
-- Language PostgreSQL
-- Tables:
-- Table: medicine
columns : [['id', 'number'], ['name', 'text'], ['trade name', 'text'], ['fda approved', 'text']]
-- Table: enzyme
columns : [['id', 'number'], ['name', 'text'], ['location', 'text'], ['product', 'text'], ['chromosome', 'text'], ['om... | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name |
List all schools and their nicknames in the order of founded year. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT school , nickname FROM university ORDER BY founded |
What are the different schools and their nicknames, ordered by their founding years? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT school , nickname FROM university ORDER BY founded |
List all public schools and their locations. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' |
What are the public schools and what are their locations? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' |
When was the school with the largest enrollment founded? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 |
Return the founded year for the school with the largest enrollment. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 |
Find the founded year of the newest non public school. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 |
What is the founded year of the non public school that was founded most recently? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 |
How many schools are in the basketball match? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT count(DISTINCT school_id) FROM basketball_match |
Count the number of schools that have had basketball matches. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT count(DISTINCT school_id) FROM basketball_match |
What is the highest acc percent score in the competition? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 |
Return the highest acc percent across all basketball matches. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 |
What is the primary conference of the school that has the lowest acc percent score in the competition? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | 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 |
What is the team name and acc regular season score of the school that was founded for the longest time? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | 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 |
Find the location and all games score of the school that has Clemson as its team name. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | 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 average enrollment size of the universities that are founded before 1850? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT avg(enrollment) FROM university WHERE founded < 1850 |
Return the average enrollment of universities founded before 1850. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT avg(enrollment) FROM university WHERE founded < 1850 |
Show the enrollment and primary_conference of the oldest college. |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 |
What are the enrollment and primary conference for the university which was founded the earliest? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 |
What is the total and minimum enrollment of all schools? |
-- Language PostgreSQL
-- Tables:
-- Table: basketball match
columns : [['team id', 'number'], ['school id', 'number'], ['team name', 'text'], ['acc regular season', 'text'], ['acc percent', 'text'], ['acc home', 'text'], ['acc road', 'text'], ['all games', 'text'], ['all games percent',... | SELECT sum(enrollment) , min(enrollment) FROM university |
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