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insurance_fnol | Find the policy types more than 4 customers use. Show their type code. | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 | [{'policy_type_code': 'Mortgage Insurance'}, {'policy_type_code': 'Property Insurance'}] |
insurance_fnol | Find the total and average amount of settlements. | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | [{'sum(settlement_amount)': 53543.69999999999, 'avg(settlement_amount)': 5354.369999999999}] |
insurance_fnol | Return the sum and average of all settlement amounts. | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | [{'sum(settlement_amount)': 53543.69999999999, 'avg(settlement_amount)': 5354.369999999999}] |
insurance_fnol | Find the name of services that have been used for more than 2 times in first notification of loss. | SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2 | 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 | [{'Service_name': 'New policy application'}] |
insurance_fnol | Which services have been used more than twice in first notification of loss? Return the service name. | SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2 | 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 | [{'Service_name': 'New policy application'}] |
insurance_fnol | What is the effective date of the claim that has the largest amount of total settlement? | SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1 | 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 | [{'Effective_Date': '2009-02-11'}] |
insurance_fnol | Find the claim that has the largest total settlement amount. Return the effective date of the claim. | SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1 | 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 | [{'Effective_Date': '2009-02-11'}] |
insurance_fnol | How many policies are listed for the customer named "Dayana Robel"? | SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel" | 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(*)': 2}] |
insurance_fnol | Count the total number of policies used by the customer named "Dayana Robel". | SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel" | 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(*)': 2}] |
insurance_fnol | What is the name of the customer who has the most policies listed? | SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1 | 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 | [{'Customer_name': 'Jay Chou'}] |
insurance_fnol | Which customer uses the most policies? Give me the customer name. | SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1 | 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 | [{'Customer_name': 'Jay Chou'}] |
insurance_fnol | What are all the policy types of the customer named "Dayana Robel"? | SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel" | 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" | [{'policy_type_code': 'Mortgage Insurance'}] |
insurance_fnol | Tell me the types of the policy used by the customer named "Dayana Robel". | SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel" | 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" | [{'policy_type_code': 'Mortgage Insurance'}] |
insurance_fnol | What are all the policy types of the customer that has the most policies listed? | SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1) | 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) | [{'policy_type_code': 'Mortgage Insurance'}, {'policy_type_code': 'Property Insurance'}] |
insurance_fnol | List all the policy types used by the customer enrolled in the most policies. | SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1) | 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) | [{'policy_type_code': 'Mortgage Insurance'}, {'policy_type_code': 'Property Insurance'}] |
insurance_fnol | List all the services in the alphabetical order. | SELECT service_name FROM services ORDER BY service_name | SELECT service_name FROM services ORDER BY service_name | [{'Service_name': 'Change a policy'}, {'Service_name': 'Close a policy'}, {'Service_name': 'New policy application'}, {'Service_name': 'Upgrade a policy'}] |
insurance_fnol | Give me a list of all the service names sorted alphabetically. | SELECT service_name FROM services ORDER BY service_name | SELECT service_name FROM services ORDER BY service_name | [{'Service_name': 'Change a policy'}, {'Service_name': 'Close a policy'}, {'Service_name': 'New policy application'}, {'Service_name': 'Upgrade a policy'}] |
insurance_fnol | How many services are there? | SELECT count(*) FROM services | SELECT count(*) FROM services | [{'count(*)': 4}] |
insurance_fnol | Count the total number of available services. | SELECT count(*) FROM services | SELECT count(*) FROM services | [{'count(*)': 4}] |
insurance_fnol | Find the names of users who do not have a first notification of loss record. | SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id | 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 | [{'Customer_name': 'America Jaskolski'}, {'Customer_name': 'Cai Zhang'}, {'Customer_name': 'David Ross'}, {'Customer_name': 'Dayana Robel'}, {'Customer_name': 'Dr. Diana Rath'}, {'Customer_name': 'Miss Felicita Reichel'}, {'Customer_name': 'Mr. Edwardo Blanda I'}, {'Customer_name': 'Mr. Randal Lynch III'}, {'Customer_name': 'Mrs. Hanna Willms'}, {'Customer_name': 'Mrs. Liza Heller V'}] |
insurance_fnol | Which customers do not have a first notification of loss record? Give me the customer names. | SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id | 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 | [{'Customer_name': 'America Jaskolski'}, {'Customer_name': 'Cai Zhang'}, {'Customer_name': 'David Ross'}, {'Customer_name': 'Dayana Robel'}, {'Customer_name': 'Dr. Diana Rath'}, {'Customer_name': 'Miss Felicita Reichel'}, {'Customer_name': 'Mr. Edwardo Blanda I'}, {'Customer_name': 'Mr. Randal Lynch III'}, {'Customer_name': 'Mrs. Hanna Willms'}, {'Customer_name': 'Mrs. Liza Heller V'}] |
insurance_fnol | Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy". | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy" | 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" | [{'Customer_name': 'Jay Chou'}, {'Customer_name': 'Mrs. Lilly Graham III'}] |
insurance_fnol | Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names. | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy" | 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" | [{'Customer_name': 'Jay Chou'}, {'Customer_name': 'Mrs. Lilly Graham III'}] |
insurance_fnol | Find the names of customers who have used both the service "Close a policy" and the service "New policy application". | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application" | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application" | [{'Nenhum': 'Nenhum resultado encontrado'}] |
insurance_fnol | Which customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names. | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application" | SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application" | [{'Nenhum': 'Nenhum resultado encontrado'}] |
insurance_fnol | Find the IDs of customers whose name contains "Diana". | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" | [{'Customer_ID': 562}] |
insurance_fnol | What are the IDs of customers who have "Diana" in part of their names? | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" | [{'Customer_ID': 562}] |
insurance_fnol | What are the maximum and minimum settlement amount on record? | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | [{'max(settlement_amount)': 9814.39, 'min(settlement_amount)': 1588.45}] |
insurance_fnol | Find the maximum and minimum settlement amount. | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | [{'max(settlement_amount)': 9814.39, 'min(settlement_amount)': 1588.45}] |
insurance_fnol | List all the customers in increasing order of IDs. | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | [{'Customer_ID': 194, 'Customer_name': 'America Jaskolski'}, {'Customer_ID': 214, 'Customer_name': 'Ellsworth Paucek'}, {'Customer_ID': 256, 'Customer_name': 'Mrs. Hanna Willms'}, {'Customer_ID': 562, 'Customer_name': 'Dr. Diana Rath'}, {'Customer_ID': 582, 'Customer_name': 'Selena Gerhold'}, {'Customer_ID': 641, 'Customer_name': 'Dayana Robel'}, {'Customer_ID': 682, 'Customer_name': 'Mr. Edwardo Blanda I'}, {'Customer_ID': 756, 'Customer_name': 'Mr. Randal Lynch III'}, {'Customer_ID': 805, 'Customer_name': 'Mrs. Liza Heller V'}, {'Customer_ID': 826, 'Customer_name': 'Mrs. Lilly Graham III'}, {'Customer_ID': 882, 'Customer_name': 'Miss Felicita Reichel'}, {'Customer_ID': 892, 'Customer_name': 'Sydnie Friesen'}, {'Customer_ID': 923, 'Customer_name': 'David Ross'}, {'Customer_ID': 956, 'Customer_name': 'Cai Zhang'}, {'Customer_ID': 996, 'Customer_name': 'Jay Chou'}] |
insurance_fnol | What is the ordered list of customer ids? | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | [{'Customer_ID': 194, 'Customer_name': 'America Jaskolski'}, {'Customer_ID': 214, 'Customer_name': 'Ellsworth Paucek'}, {'Customer_ID': 256, 'Customer_name': 'Mrs. Hanna Willms'}, {'Customer_ID': 562, 'Customer_name': 'Dr. Diana Rath'}, {'Customer_ID': 582, 'Customer_name': 'Selena Gerhold'}, {'Customer_ID': 641, 'Customer_name': 'Dayana Robel'}, {'Customer_ID': 682, 'Customer_name': 'Mr. Edwardo Blanda I'}, {'Customer_ID': 756, 'Customer_name': 'Mr. Randal Lynch III'}, {'Customer_ID': 805, 'Customer_name': 'Mrs. Liza Heller V'}, {'Customer_ID': 826, 'Customer_name': 'Mrs. Lilly Graham III'}, {'Customer_ID': 882, 'Customer_name': 'Miss Felicita Reichel'}, {'Customer_ID': 892, 'Customer_name': 'Sydnie Friesen'}, {'Customer_ID': 923, 'Customer_name': 'David Ross'}, {'Customer_ID': 956, 'Customer_name': 'Cai Zhang'}, {'Customer_ID': 996, 'Customer_name': 'Jay Chou'}] |
insurance_fnol | Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana" | SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%" | 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%" | [{'Date_Opened': '2017-01-09', 'Date_Closed': '2018-03-08'}, {'Date_Opened': '2016-06-24', 'Date_Closed': '2018-02-22'}] |
insurance_fnol | What are the open and close dates of all the policies used by the customer who have "Diana" in part of their names? | SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%" | 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%" | [{'Date_Opened': '2017-01-09', 'Date_Closed': '2018-03-08'}, {'Date_Opened': '2016-06-24', 'Date_Closed': '2018-02-22'}] |
medicine_enzyme_interaction | How many kinds of enzymes are there? | SELECT count(*) FROM enzyme | SELECT count(*) FROM enzyme | [{'count(*)': 8}] |
medicine_enzyme_interaction | What is the total count of enzymes? | SELECT count(*) FROM enzyme | SELECT count(*) FROM enzyme | [{'count(*)': 8}] |
medicine_enzyme_interaction | List the name of enzymes in descending lexicographical order. | SELECT name FROM enzyme ORDER BY name DESC | SELECT name FROM enzyme ORDER BY name DESC | [{'name': 'Uroporphyrinogen III synthase'}, {'name': 'Uroporphyrinogen III decarboxylase'}, {'name': 'Protoporphyrinogen oxidase'}, {'name': 'PBG deaminase'}, {'name': 'Ferrochelatase'}, {'name': 'Coproporphyrinogen III oxidase'}, {'name': 'ALA synthase'}, {'name': 'ALA dehydratase'}] |
medicine_enzyme_interaction | What are the names of enzymes in descending order? | SELECT name FROM enzyme ORDER BY name DESC | SELECT name FROM enzyme ORDER BY name DESC | [{'name': 'Uroporphyrinogen III synthase'}, {'name': 'Uroporphyrinogen III decarboxylase'}, {'name': 'Protoporphyrinogen oxidase'}, {'name': 'PBG deaminase'}, {'name': 'Ferrochelatase'}, {'name': 'Coproporphyrinogen III oxidase'}, {'name': 'ALA synthase'}, {'name': 'ALA dehydratase'}] |
medicine_enzyme_interaction | List the names and the locations that the enzymes can make an effect. | SELECT name , LOCATION FROM enzyme | SELECT name , LOCATION FROM enzyme | [{'name': 'ALA synthase', 'Location': 'Mitochondrion'}, {'name': 'ALA dehydratase', 'Location': 'Cytosol'}, {'name': 'PBG deaminase', 'Location': 'Cytosol'}, {'name': 'Uroporphyrinogen III synthase', 'Location': 'Cytosol'}, {'name': 'Uroporphyrinogen III decarboxylase', 'Location': 'Cytosol'}, {'name': 'Coproporphyrinogen III oxidase', 'Location': 'Mitochondrion'}, {'name': 'Protoporphyrinogen oxidase', 'Location': 'Mitochondrion'}, {'name': 'Ferrochelatase', 'Location': 'Mitochondrion'}] |
medicine_enzyme_interaction | What are the names and locations of all enzymes listed? | SELECT name , LOCATION FROM enzyme | SELECT name , LOCATION FROM enzyme | [{'name': 'ALA synthase', 'Location': 'Mitochondrion'}, {'name': 'ALA dehydratase', 'Location': 'Cytosol'}, {'name': 'PBG deaminase', 'Location': 'Cytosol'}, {'name': 'Uroporphyrinogen III synthase', 'Location': 'Cytosol'}, {'name': 'Uroporphyrinogen III decarboxylase', 'Location': 'Cytosol'}, {'name': 'Coproporphyrinogen III oxidase', 'Location': 'Mitochondrion'}, {'name': 'Protoporphyrinogen oxidase', 'Location': 'Mitochondrion'}, {'name': 'Ferrochelatase', 'Location': 'Mitochondrion'}] |
medicine_enzyme_interaction | What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes? | SELECT max(OMIM) FROM enzyme | SELECT max(OMIM) FROM enzyme | [{'max(OMIM)': 606938}] |
medicine_enzyme_interaction | What is the maximum OMIM value in the database? | SELECT max(OMIM) FROM enzyme | SELECT max(OMIM) FROM enzyme | [{'max(OMIM)': 606938}] |
medicine_enzyme_interaction | What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'? | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' | [{'Product': 'Porphobilinogen', 'Chromosome': '9q34', 'Porphyria': 'ALA-Dehydratase deficiency'}, {'Product': 'Hydroxymethyl bilane', 'Chromosome': '11q23.3', 'Porphyria': 'acute intermittent porphyria'}, {'Product': 'Uroporphyrinogen III', 'Chromosome': '10q25.2-q26.3', 'Porphyria': 'congenital erythropoietic porphyria'}, {'Product': 'Coproporphyrinogen III', 'Chromosome': '1p34', 'Porphyria': 'porphyria cutanea tarda'}] |
medicine_enzyme_interaction | What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'? | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' | [{'Product': 'Porphobilinogen', 'Chromosome': '9q34', 'Porphyria': 'ALA-Dehydratase deficiency'}, {'Product': 'Hydroxymethyl bilane', 'Chromosome': '11q23.3', 'Porphyria': 'acute intermittent porphyria'}, {'Product': 'Uroporphyrinogen III', 'Chromosome': '10q25.2-q26.3', 'Porphyria': 'congenital erythropoietic porphyria'}, {'Product': 'Coproporphyrinogen III', 'Chromosome': '1p34', 'Porphyria': 'porphyria cutanea tarda'}] |
medicine_enzyme_interaction | What are the names of enzymes who does not produce 'Heme'? | SELECT name FROM enzyme WHERE product != 'Heme' | SELECT name FROM enzyme WHERE product != 'Heme' | [{'name': 'ALA synthase'}, {'name': 'ALA dehydratase'}, {'name': 'PBG deaminase'}, {'name': 'Uroporphyrinogen III synthase'}, {'name': 'Uroporphyrinogen III decarboxylase'}, {'name': 'Coproporphyrinogen III oxidase'}, {'name': 'Protoporphyrinogen oxidase'}] |
medicine_enzyme_interaction | What are the names of enzymes whose product is not 'Heme'? | SELECT name FROM enzyme WHERE product != 'Heme' | SELECT name FROM enzyme WHERE product != 'Heme' | [{'name': 'ALA synthase'}, {'name': 'ALA dehydratase'}, {'name': 'PBG deaminase'}, {'name': 'Uroporphyrinogen III synthase'}, {'name': 'Uroporphyrinogen III decarboxylase'}, {'name': 'Coproporphyrinogen III oxidase'}, {'name': 'Protoporphyrinogen oxidase'}] |
medicine_enzyme_interaction | What are the names and trade names of the medicines which has 'Yes' value in the FDA record? | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' | [{'name': 'Aripiprazole', 'Trade_Name': 'Abilify'}, {'name': 'Asenapine', 'Trade_Name': 'Saphris'}, {'name': 'Clozapine', 'Trade_Name': 'Clozaril'}, {'name': 'Iloperidone', 'Trade_Name': 'Fanapt'}, {'name': 'Lurasidone', 'Trade_Name': 'Latuda'}, {'name': 'Olanzapine', 'Trade_Name': 'Zyprexa'}, {'name': 'Paliperidone', 'Trade_Name': 'Invega'}, {'name': 'Quetiapine', 'Trade_Name': 'Seroquel'}, {'name': 'Risperidone', 'Trade_Name': 'Risperdal'}, {'name': 'Ziprasidone', 'Trade_Name': 'Geodon'}] |
medicine_enzyme_interaction | What are the names and trade names of the medcines that are FDA approved? | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' | [{'name': 'Aripiprazole', 'Trade_Name': 'Abilify'}, {'name': 'Asenapine', 'Trade_Name': 'Saphris'}, {'name': 'Clozapine', 'Trade_Name': 'Clozaril'}, {'name': 'Iloperidone', 'Trade_Name': 'Fanapt'}, {'name': 'Lurasidone', 'Trade_Name': 'Latuda'}, {'name': 'Olanzapine', 'Trade_Name': 'Zyprexa'}, {'name': 'Paliperidone', 'Trade_Name': 'Invega'}, {'name': 'Quetiapine', 'Trade_Name': 'Seroquel'}, {'name': 'Risperidone', 'Trade_Name': 'Risperdal'}, {'name': 'Ziprasidone', 'Trade_Name': 'Geodon'}] |
medicine_enzyme_interaction | What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'? | SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor' | 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' | [{'name': 'ALA synthase'}] |
medicine_enzyme_interaction | What are the names of the enzymes used in the medicine Amisulpride that acts as inhibitors? | SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor' | 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' | [{'name': 'ALA synthase'}] |
medicine_enzyme_interaction | What are the ids and names of the medicine that can interact with two or more enzymes? | SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2 | 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 | [{'id': 2, 'name': 'Aripiprazole'}, {'id': 3, 'name': 'Asenapine'}, {'id': 8, 'name': 'Iloperidone'}, {'id': 20, 'name': 'Ziprasidone'}] |
medicine_enzyme_interaction | For every medicine id, what are the names of the medicines that can interact with more than one enzyme? | SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2 | 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 | [{'id': 2, 'name': 'Aripiprazole'}, {'id': 3, 'name': 'Asenapine'}, {'id': 8, 'name': 'Iloperidone'}, {'id': 20, 'name': 'Ziprasidone'}] |
medicine_enzyme_interaction | What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with. | SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC | 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 | [{'id': 3, 'name': 'Asenapine', 'FDA_approved': 'Yes'}, {'id': 2, 'name': 'Aripiprazole', 'FDA_approved': 'Yes'}, {'id': 20, 'name': 'Ziprasidone', 'FDA_approved': 'Yes'}, {'id': 8, 'name': 'Iloperidone', 'FDA_approved': 'Yes'}, {'id': 19, 'name': 'Sulpiride', 'FDA_approved': 'No'}, {'id': 13, 'name': 'Paliperidone', 'FDA_approved': 'Yes'}, {'id': 10, 'name': 'Melperone', 'FDA_approved': 'No'}, {'id': 9, 'name': 'Lurasidone', 'FDA_approved': 'Yes'}, {'id': 7, 'name': 'Clozapine', 'FDA_approved': 'Yes'}, {'id': 6, 'name': 'Clocapramine', 'FDA_approved': 'No'}, {'id': 5, 'name': 'Carpipramine', 'FDA_approved': 'No'}, {'id': 4, 'name': 'Blonanserin', 'FDA_approved': 'No'}, {'id': 1, 'name': 'Amisulpride', 'FDA_approved': 'No'}] |
medicine_enzyme_interaction | What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions? | SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC | 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 | [{'id': 3, 'name': 'Asenapine', 'FDA_approved': 'Yes'}, {'id': 2, 'name': 'Aripiprazole', 'FDA_approved': 'Yes'}, {'id': 20, 'name': 'Ziprasidone', 'FDA_approved': 'Yes'}, {'id': 8, 'name': 'Iloperidone', 'FDA_approved': 'Yes'}, {'id': 19, 'name': 'Sulpiride', 'FDA_approved': 'No'}, {'id': 13, 'name': 'Paliperidone', 'FDA_approved': 'Yes'}, {'id': 10, 'name': 'Melperone', 'FDA_approved': 'No'}, {'id': 9, 'name': 'Lurasidone', 'FDA_approved': 'Yes'}, {'id': 7, 'name': 'Clozapine', 'FDA_approved': 'Yes'}, {'id': 6, 'name': 'Clocapramine', 'FDA_approved': 'No'}, {'id': 5, 'name': 'Carpipramine', 'FDA_approved': 'No'}, {'id': 4, 'name': 'Blonanserin', 'FDA_approved': 'No'}, {'id': 1, 'name': 'Amisulpride', 'FDA_approved': 'No'}] |
medicine_enzyme_interaction | What is the id and name of the enzyme with most number of medicines that can interact as 'activator'? | SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 | 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 | [{'id': 4, 'name': 'Uroporphyrinogen III synthase'}] |
medicine_enzyme_interaction | What is the id and name of the enzyme that can interact with the most medicines as an activator? | SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 | 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 | [{'id': 4, 'name': 'Uroporphyrinogen III synthase'}] |
medicine_enzyme_interaction | What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'? | SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole' | 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' | [{'interaction_type': 'inhibitor'}] |
medicine_enzyme_interaction | What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'? | SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole' | 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' | [{'interaction_type': 'inhibitor'}] |
medicine_enzyme_interaction | What is the most common interaction type between enzymes and medicine? And how many are there? | SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 | SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 | [{'interaction_type': 'inhibitor', 'count(*)': 11}] |
medicine_enzyme_interaction | What are the most common types of interactions between enzymes and medicine, and how many types are there? | SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 | SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 | [{'interaction_type': 'inhibitor', 'count(*)': 11}] |
medicine_enzyme_interaction | How many medicines have the FDA approval status 'No' ? | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' | [{'count(*)': 11}] |
medicine_enzyme_interaction | How many medicines were not approved by the FDA? | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' | [{'count(*)': 11}] |
medicine_enzyme_interaction | How many enzymes do not have any interactions? | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | [{'count(*)': 2}] |
medicine_enzyme_interaction | What is the count of enzymes without any interactions? | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | [{'count(*)': 2}] |
medicine_enzyme_interaction | What is the id and trade name of the medicines can interact with at least 3 enzymes? | SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3 | 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 | [{'id': 2, 'Trade_Name': 'Abilify'}, {'id': 3, 'Trade_Name': 'Saphris'}] |
medicine_enzyme_interaction | What are the ids and trade names of the medicine that can interact with at least 3 enzymes? | SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3 | 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 | [{'id': 2, 'Trade_Name': 'Abilify'}, {'id': 3, 'Trade_Name': 'Saphris'}] |
medicine_enzyme_interaction | What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction? | SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor' | 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' | [{'name': 'ALA synthase', 'Location': 'Mitochondrion', 'Product': 'δ-Aminolevulinic acid'}, {'name': 'ALA dehydratase', 'Location': 'Cytosol', 'Product': 'Porphobilinogen'}, {'name': 'PBG deaminase', 'Location': 'Cytosol', 'Product': 'Hydroxymethyl bilane'}] |
medicine_enzyme_interaction | What are the different names, locations, and products of the enzymes that are capable inhibitor interactions? | SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor' | 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' | [{'name': 'ALA synthase', 'Location': 'Mitochondrion', 'Product': 'δ-Aminolevulinic acid'}, {'name': 'ALA dehydratase', 'Location': 'Cytosol', 'Product': 'Porphobilinogen'}, {'name': 'PBG deaminase', 'Location': 'Cytosol', 'Product': 'Hydroxymethyl bilane'}] |
medicine_enzyme_interaction | List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes. | SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor' | 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' | [{'name': 'Asenapine', 'Trade_Name': 'Saphris'}, {'name': 'Iloperidone', 'Trade_Name': 'Fanapt'}] |
medicine_enzyme_interaction | What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes? | SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor' | 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' | [{'name': 'Asenapine', 'Trade_Name': 'Saphris'}, {'name': 'Iloperidone', 'Trade_Name': 'Fanapt'}] |
medicine_enzyme_interaction | Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'. | SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX' | 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' | [{'name': 'Amisulpride', 'Trade_Name': 'Solian'}, {'name': 'Aripiprazole', 'Trade_Name': 'Abilify'}, {'name': 'Asenapine', 'Trade_Name': 'Saphris'}, {'name': 'Blonanserin', 'Trade_Name': 'Lonasen'}, {'name': 'Carpipramine', 'Trade_Name': 'Prazinil'}, {'name': 'Clocapramine', 'Trade_Name': 'Clofekton'}, {'name': 'Clozapine', 'Trade_Name': 'Clozaril'}, {'name': 'Iloperidone', 'Trade_Name': 'Fanapt'}, {'name': 'Lurasidone', 'Trade_Name': 'Latuda'}, {'name': 'Melperone', 'Trade_Name': 'Buronil'}, {'name': 'Mosapramine', 'Trade_Name': 'Cremin'}, {'name': 'Olanzapine', 'Trade_Name': 'Zyprexa'}, {'name': 'Paliperidone', 'Trade_Name': 'Invega'}, {'name': 'Perospirone', 'Trade_Name': 'Lullan'}, {'name': 'Quetiapine', 'Trade_Name': 'Seroquel'}, {'name': 'Remoxipride', 'Trade_Name': 'Roxiam'}, {'name': 'Risperidone', 'Trade_Name': 'Risperdal'}, {'name': 'Sertindole', 'Trade_Name': 'Serdolect'}, {'name': 'Sulpiride', 'Trade_Name': 'Sulpirid'}, {'name': 'Zotepine', 'Trade_Name': 'Nipolept'}] |
medicine_enzyme_interaction | What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'? | SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX' | 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' | [{'name': 'Amisulpride', 'Trade_Name': 'Solian'}, {'name': 'Aripiprazole', 'Trade_Name': 'Abilify'}, {'name': 'Asenapine', 'Trade_Name': 'Saphris'}, {'name': 'Blonanserin', 'Trade_Name': 'Lonasen'}, {'name': 'Carpipramine', 'Trade_Name': 'Prazinil'}, {'name': 'Clocapramine', 'Trade_Name': 'Clofekton'}, {'name': 'Clozapine', 'Trade_Name': 'Clozaril'}, {'name': 'Iloperidone', 'Trade_Name': 'Fanapt'}, {'name': 'Lurasidone', 'Trade_Name': 'Latuda'}, {'name': 'Melperone', 'Trade_Name': 'Buronil'}, {'name': 'Mosapramine', 'Trade_Name': 'Cremin'}, {'name': 'Olanzapine', 'Trade_Name': 'Zyprexa'}, {'name': 'Paliperidone', 'Trade_Name': 'Invega'}, {'name': 'Perospirone', 'Trade_Name': 'Lullan'}, {'name': 'Quetiapine', 'Trade_Name': 'Seroquel'}, {'name': 'Remoxipride', 'Trade_Name': 'Roxiam'}, {'name': 'Risperidone', 'Trade_Name': 'Risperdal'}, {'name': 'Sertindole', 'Trade_Name': 'Serdolect'}, {'name': 'Sulpiride', 'Trade_Name': 'Sulpirid'}, {'name': 'Zotepine', 'Trade_Name': 'Nipolept'}] |
medicine_enzyme_interaction | How many distinct FDA approval statuses are there for the medicines? | SELECT count(DISTINCT FDA_approved) FROM medicine | SELECT count(DISTINCT FDA_approved) FROM medicine | [{'count(DISTINCT FDA_approved)': 2}] |
medicine_enzyme_interaction | How many different FDA approval statuses exist for medicines? | SELECT count(DISTINCT FDA_approved) FROM medicine | SELECT count(DISTINCT FDA_approved) FROM medicine | [{'count(DISTINCT FDA_approved)': 2}] |
medicine_enzyme_interaction | Which enzyme names have the substring "ALA"? | SELECT name FROM enzyme WHERE name LIKE "%ALA%" | SELECT name FROM enzyme WHERE name LIKE "%ALA%" | [{'name': 'ALA synthase'}, {'name': 'ALA dehydratase'}] |
medicine_enzyme_interaction | What are the names of enzymes that include the string 'ALA'? | SELECT name FROM enzyme WHERE name LIKE "%ALA%" | SELECT name FROM enzyme WHERE name LIKE "%ALA%" | [{'name': 'ALA synthase'}, {'name': 'ALA dehydratase'}] |
medicine_enzyme_interaction | find the number of medicines offered by each trade. | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name | [{'Trade_Name': 'Abilify', 'count(*)': 1}, {'Trade_Name': 'Buronil', 'count(*)': 1}, {'Trade_Name': 'Clofekton', 'count(*)': 1}, {'Trade_Name': 'Clozaril', 'count(*)': 1}, {'Trade_Name': 'Cremin', 'count(*)': 1}, {'Trade_Name': 'Fanapt', 'count(*)': 1}, {'Trade_Name': 'Geodon', 'count(*)': 1}, {'Trade_Name': 'Invega', 'count(*)': 1}, {'Trade_Name': 'Latuda', 'count(*)': 1}, {'Trade_Name': 'Lonasen', 'count(*)': 1}, {'Trade_Name': 'Lullan', 'count(*)': 1}, {'Trade_Name': 'Nipolept', 'count(*)': 1}, {'Trade_Name': 'Prazinil', 'count(*)': 1}, {'Trade_Name': 'Risperdal', 'count(*)': 1}, {'Trade_Name': 'Roxiam', 'count(*)': 1}, {'Trade_Name': 'Saphris', 'count(*)': 1}, {'Trade_Name': 'Serdolect', 'count(*)': 1}, {'Trade_Name': 'Seroquel', 'count(*)': 1}, {'Trade_Name': 'Solian', 'count(*)': 1}, {'Trade_Name': 'Sulpirid', 'count(*)': 1}, {'Trade_Name': 'Zyprexa', 'count(*)': 1}] |
medicine_enzyme_interaction | How many medicines are offered by each trade name? | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name | [{'Trade_Name': 'Abilify', 'count(*)': 1}, {'Trade_Name': 'Buronil', 'count(*)': 1}, {'Trade_Name': 'Clofekton', 'count(*)': 1}, {'Trade_Name': 'Clozaril', 'count(*)': 1}, {'Trade_Name': 'Cremin', 'count(*)': 1}, {'Trade_Name': 'Fanapt', 'count(*)': 1}, {'Trade_Name': 'Geodon', 'count(*)': 1}, {'Trade_Name': 'Invega', 'count(*)': 1}, {'Trade_Name': 'Latuda', 'count(*)': 1}, {'Trade_Name': 'Lonasen', 'count(*)': 1}, {'Trade_Name': 'Lullan', 'count(*)': 1}, {'Trade_Name': 'Nipolept', 'count(*)': 1}, {'Trade_Name': 'Prazinil', 'count(*)': 1}, {'Trade_Name': 'Risperdal', 'count(*)': 1}, {'Trade_Name': 'Roxiam', 'count(*)': 1}, {'Trade_Name': 'Saphris', 'count(*)': 1}, {'Trade_Name': 'Serdolect', 'count(*)': 1}, {'Trade_Name': 'Seroquel', 'count(*)': 1}, {'Trade_Name': 'Solian', 'count(*)': 1}, {'Trade_Name': 'Sulpirid', 'count(*)': 1}, {'Trade_Name': 'Zyprexa', 'count(*)': 1}] |
university_basketball | List all schools and their nicknames in the order of founded year. | SELECT school , nickname FROM university ORDER BY founded | SELECT school , nickname FROM university ORDER BY founded | [{'School': 'University of Delaware', 'Nickname': "Fightin' Blue Hens"}, {'School': 'Rutgers University', 'Nickname': 'Scarlet Knights'}, {'School': 'Lebanon Valley College', 'Nickname': 'Flying Dutchmen'}, {'School': 'University of Rhode Island', 'Nickname': 'Rams'}, {'School': 'Stony Brook University', 'Nickname': 'Seawolves'}] |
university_basketball | What are the different schools and their nicknames, ordered by their founding years? | SELECT school , nickname FROM university ORDER BY founded | SELECT school , nickname FROM university ORDER BY founded | [{'School': 'University of Delaware', 'Nickname': "Fightin' Blue Hens"}, {'School': 'Rutgers University', 'Nickname': 'Scarlet Knights'}, {'School': 'Lebanon Valley College', 'Nickname': 'Flying Dutchmen'}, {'School': 'University of Rhode Island', 'Nickname': 'Rams'}, {'School': 'Stony Brook University', 'Nickname': 'Seawolves'}] |
university_basketball | List all public schools and their locations. | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' | [{'School': 'University of Delaware', 'Location': 'Newark, DE'}, {'School': 'University of Rhode Island', 'Location': 'Kingston, RI'}, {'School': 'Rutgers University', 'Location': 'New Brunswick, NJ'}, {'School': 'Stony Brook University', 'Location': 'Stony Brook, NY'}] |
university_basketball | What are the public schools and what are their locations? | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' | [{'School': 'University of Delaware', 'Location': 'Newark, DE'}, {'School': 'University of Rhode Island', 'Location': 'Kingston, RI'}, {'School': 'Rutgers University', 'Location': 'New Brunswick, NJ'}, {'School': 'Stony Brook University', 'Location': 'Stony Brook, NY'}] |
university_basketball | When was the school with the largest enrollment founded? | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | [{'Founded': 1766.0}] |
university_basketball | Return the founded year for the school with the largest enrollment. | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | [{'Founded': 1766.0}] |
university_basketball | Find the founded year of the newest non public school. | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 | [{'Founded': 1866.0}] |
university_basketball | What is the founded year of the non public school that was founded most recently? | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 | [{'Founded': 1866.0}] |
university_basketball | How many schools are in the basketball match? | SELECT count(DISTINCT school_id) FROM basketball_match | SELECT count(DISTINCT school_id) FROM basketball_match | [{'count(DISTINCT school_id)': 4}] |
university_basketball | Count the number of schools that have had basketball matches. | SELECT count(DISTINCT school_id) FROM basketball_match | SELECT count(DISTINCT school_id) FROM basketball_match | [{'count(DISTINCT school_id)': 4}] |
university_basketball | What is the highest acc percent score in the competition? | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 | [{'ACC_Percent': '.875'}] |
university_basketball | Return the highest acc percent across all basketball matches. | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 | [{'ACC_Percent': '.875'}] |
university_basketball | What is the primary conference of the school that has the lowest acc percent score in the competition? | SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1 | 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 | [{'Primary_conference': 'America East Conference ( D-I )'}] |
university_basketball | Return the primary conference of the school with the lowest acc percentage score. | SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1 | 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 | [{'Primary_conference': 'America East Conference ( D-I )'}] |
university_basketball | What is the team name and acc regular season score of the school that was founded for the longest time? | SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1 | 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 | [{'Team_Name': 'North Carolina', 'ACC_Regular_Season': '14–2'}] |
university_basketball | Return the name of the team and the acc during the regular season for the school that was founded the earliest. | SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1 | 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 | [{'Team_Name': 'North Carolina', 'ACC_Regular_Season': '14–2'}] |
university_basketball | Find the location and all games score of the school that has Clemson as its team name. | SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson' | 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' | [{'All_Games': '24–10', 'Location': 'New Brunswick, NJ'}] |
university_basketball | What are the all games score and location of the school called Clemson? | SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson' | 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' | [{'All_Games': '24–10', 'Location': 'New Brunswick, NJ'}] |
university_basketball | What are the average enrollment size of the universities that are founded before 1850? | SELECT avg(enrollment) FROM university WHERE founded < 1850 | SELECT avg(enrollment) FROM university WHERE founded < 1850 | [{'avg(enrollment)': 37967.5}] |
university_basketball | Return the average enrollment of universities founded before 1850. | SELECT avg(enrollment) FROM university WHERE founded < 1850 | SELECT avg(enrollment) FROM university WHERE founded < 1850 | [{'avg(enrollment)': 37967.5}] |
university_basketball | Show the enrollment and primary_conference of the oldest college. | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 | [{'Enrollment': 19067.0, 'Primary_conference': 'Colonial Athletic Association ( D-I )'}] |
university_basketball | What are the enrollment and primary conference for the university which was founded the earliest? | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 | [{'Enrollment': 19067.0, 'Primary_conference': 'Colonial Athletic Association ( D-I )'}] |
university_basketball | What is the total and minimum enrollment of all schools? | SELECT sum(enrollment) , min(enrollment) FROM university | SELECT sum(enrollment) , min(enrollment) FROM university | [{'sum(enrollment)': 121127.0, 'min(enrollment)': 2100.0}] |