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insurance_fnol
SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4
Find the policys types more than 4 use. Show theirn types codes.
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[ "select", "policy_type_code", "from", "available_policies", "group", "by", "policy_type_code", "having", "count", "(", "*", ")", ">", "value" ]
[ "Find", "the", "policys", "types", "more", "than", "4", "use.", "Show", "theirn", "types", "codes." ]
insurance_fnol
SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements
Are Finding the total and average amount of settlements.
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[ "select", "sum", "(", "settlement_amount", ")", ",", "avg", "(", "settlement_amount", ")", "from", "settlements" ]
[ "Are", "Finding", "the", "total", "and", "average", "amount", "of", "settlements." ]
insurance_fnol
SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements
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" ]
[ "Return", "the", "sum", "and", "average", "of", "all", "settlement", "amounts." ]
insurance_fnol
SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2
Are Finding the name of services that have done been used for more than 2 times in first notification of loss.
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[ "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", "(", "*", ")", ">", "value" ]
[ "Are", "Finding", "the", "name", "of", "services", "that", "have", "done", "been", "used", "for", "more", "than", "2", "times", "in", "first", "notification", "of", "loss." ]
insurance_fnol
SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2
Which services done a-been a-used more than twice in first notification of loses? Are Returning the service name.
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[ "Which", "services", "done", "a-been", "a-used", "more", "than", "twice", "in", "first", "notification", "of", "loses?", "Are", "Returning", "the", "service", "name." ]
insurance_fnol
SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1
What-all is the effective date of the claim has the largest amount of total settlement?
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[ "What-all", "is", "the", "effective", "date", "of", "the", "claim", "has", "the", "largest", "amount", "of", "total", "settlement?" ]
insurance_fnol
SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1
Are Finding the claim has the largest total settlement amount. Are Returning the effective date of the claim.
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[ "Are", "Finding", "the", "claim", "has", "the", "largest", "total", "settlement", "amount.", "Are", "Returning", "the", "effective", "date", "of", "the", "claim." ]
insurance_fnol
SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
How many policies are a-listed for the customer a-named "Dayana Robel"?
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[ "How", "many", "policies", "are", "a-listed", "for", "the", "customer", "a-named", "\"Dayana", "Robel\"?" ]
insurance_fnol
SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"
Count the total number of policies a-used by the customer a-named "Dayana Robel".
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[ "Count", "the", "total", "number", "of", "policies", "a-used", "by", "the", "customer", "a-named", "\"Dayana", "Robel\"." ]
insurance_fnol
SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1
What-all is the name of the customers which has the most policies a-listed?
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[ "What-all", "is", "the", "name", "of", "the", "customers", "which", "has", "the", "most", "policies", "a-listed?" ]
insurance_fnol
SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1
Which customer is using the most policies? Are Giving me the customer name.
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[ "Which", "customer", "is", "using", "the", "most", "policies?", "Are", "Giving", "me", "the", "customer", "name." ]
insurance_fnol
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"
What-all are all the policys types of the customers a-named "Dayana Robel"?
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[ "What-all", "are", "all", "the", "policys", "types", "of", "the", "customers", "a-named", "\"Dayana", "Robel\"?" ]
insurance_fnol
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"
Are Telling us the types of the policys used by the customers named "Dayana Robel".
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[ "Are", "Telling", "us", "the", "types", "of", "the", "policys", "used", "by", "the", "customers", "named", "\"Dayana", "Robel\"." ]
insurance_fnol
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)
What-all are all the policy types of the customer has the most policies listed?
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[ "What-all", "are", "all", "the", "policy", "types", "of", "the", "customer", "has", "the", "most", "policies", "listed?" ]
insurance_fnol
SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)
Are Listing all the policys types a-used by the customers a-enrolled in the most policies.
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[ "Are", "Listing", "all", "the", "policys", "types", "a-used", "by", "the", "customers", "a-enrolled", "in", "the", "most", "policies." ]
insurance_fnol
SELECT service_name FROM services ORDER BY service_name
List all the the alphabetical order services.
[ "SELECT", "service_name", "FROM", "services", "ORDER", "BY", "service_name" ]
[ "select", "service_name", "from", "services", "order", "by", "service_name" ]
[ "List", "all", "the", "the", "alphabetical", "order", "services." ]
insurance_fnol
SELECT service_name FROM services ORDER BY service_name
Are Giving me a list of all the service names a-sorted alphabetically.
[ "SELECT", "service_name", "FROM", "services", "ORDER", "BY", "service_name" ]
[ "select", "service_name", "from", "services", "order", "by", "service_name" ]
[ "Are", "Giving", "me", "a", "list", "of", "all", "the", "service", "names", "a-sorted", "alphabetically." ]
insurance_fnol
SELECT count(*) FROM services
How many services are there?
[ "SELECT", "count", "(", "*", ")", "FROM", "services" ]
[ "select", "count", "(", "*", ")", "from", "services" ]
[ "How", "many", "services", "are", "there?" ]
insurance_fnol
SELECT count(*) FROM services
Count the total number of available services.
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[ "select", "count", "(", "*", ")", "from", "services" ]
[ "Count", "the", "total", "number", "of", "available", "services." ]
insurance_fnol
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
Are Finding the names of users which do ain't a first notification of loses record.
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[ "Are", "Finding", "the", "names", "of", "users", "which", "do", "ain't", "a", "first", "notification", "of", "loses", "record." ]
insurance_fnol
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 ain't a first notification of loss record? Are Giving me the customer names.
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[ "Which", "customers", "do", "ain't", "a", "first", "notification", "of", "loss", "record?", "Are", "Giving", "me", "the", "customer", "names." ]
insurance_fnol
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 used either the service "To Close a policy" or the service "Upgrade a policy".
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[ "Find", "the", "names", "of", "customers", "used", "either", "the", "service", "\"To", "Close", "a", "policy\"", "or", "the", "service", "\"Upgrade", "a", "policy\"." ]
insurance_fnol
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 used the service named "Close a policys" or "Are Upgrading a policys"? Are Giving us the customers names.
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insurance_fnol
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"
Find the names of customers at done a-used both the service "Close a policy" and the service "New policy application".
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[ "Find", "the", "names", "of", "customers", "at", "done", "a-used", "both", "the", "service", "\"Close", "a", "policy\"", "and", "the", "service", "\"New", "policy", "application\"." ]
insurance_fnol
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"
Which customers used both the service named "Close a policy" and the service named "Upgrade a policy"? Are Giving me the customer names.
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[ "Which", "customers", "used", "both", "the", "service", "named", "\"Close", "a", "policy\"", "and", "the", "service", "named", "\"Upgrade", "a", "policy\"?", "Are", "Giving", "me", "the", "customer", "names." ]
insurance_fnol
SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
Are Finding the IDs of customers whose is containing "Diana".
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[ "select", "customer_id", "from", "customers", "where", "customer_name", "like", "value" ]
[ "Are", "Finding", "the", "IDs", "of", "customers", "whose", "is", "containing", "\"Diana\"." ]
insurance_fnol
SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
What-all are the IDs of customers at have "Diana" in part of theirn names?
[ "SELECT", "customer_id", "FROM", "customers", "WHERE", "customer_name", "LIKE", "``", "%", "Diana", "%", "''" ]
[ "select", "customer_id", "from", "customers", "where", "customer_name", "like", "value" ]
[ "What-all", "are", "the", "IDs", "of", "customers", "at", "have", "\"Diana\"", "in", "part", "of", "theirn", "names?" ]
insurance_fnol
SELECT max(settlement_amount) , min(settlement_amount) FROM settlements
What-all are the maximum and minimum settlement amount on record?
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[ "select", "max", "(", "settlement_amount", ")", ",", "min", "(", "settlement_amount", ")", "from", "settlements" ]
[ "What-all", "are", "the", "maximum", "and", "minimum", "settlement", "amount", "on", "record?" ]
insurance_fnol
SELECT max(settlement_amount) , min(settlement_amount) FROM settlements
Are Finding the maximum and minimum settlement amount.
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[ "Are", "Finding", "the", "maximum", "and", "minimum", "settlement", "amount." ]
insurance_fnol
SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC
List all the customers in increasing order of IDs.
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[ "select", "customer_id", ",", "customer_name", "from", "customers", "order", "by", "customer_id", "asc" ]
[ "List", "all", "the", "customers", "in", "increasing", "order", "of", "IDs." ]
insurance_fnol
SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC
What-all 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" ]
[ "What-all", "is", "the", "ordered", "list", "of", "customer", "ids?" ]
insurance_fnol
SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"
Retrieve the open and close dates of all the policies associated with the customer whose contains "Diana"
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[ "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", "value" ]
[ "Retrieve", "the", "open", "and", "close", "dates", "of", "all", "the", "policies", "associated", "with", "the", "customer", "whose", "contains", "\"Diana\"" ]
insurance_fnol
SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"
What-all are the open and close dates of all the policies a-used by the customer which have "Diana" in part of theirn names?
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[ "What-all", "are", "the", "open", "and", "close", "dates", "of", "all", "the", "policies", "a-used", "by", "the", "customer", "which", "have", "\"Diana\"", "in", "part", "of", "theirn", "names?" ]
medicine_enzyme_interaction
SELECT count(*) FROM enzyme
How many kinds of enzymes are there?
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[ "select", "count", "(", "*", ")", "from", "enzyme" ]
[ "How", "many", "kinds", "of", "enzymes", "are", "there?" ]
medicine_enzyme_interaction
SELECT count(*) FROM enzyme
What-all is the total count of enzymes?
[ "SELECT", "count", "(", "*", ")", "FROM", "enzyme" ]
[ "select", "count", "(", "*", ")", "from", "enzyme" ]
[ "What-all", "is", "the", "total", "count", "of", "enzymes?" ]
medicine_enzyme_interaction
SELECT name FROM enzyme ORDER BY name DESC
List the name of enzymes in a-descending lexicographical orders.
[ "SELECT", "name", "FROM", "enzyme", "ORDER", "BY", "name", "DESC" ]
[ "select", "name", "from", "enzyme", "order", "by", "name", "desc" ]
[ "List", "the", "name", "of", "enzymes", "in", "a-descending", "lexicographical", "orders." ]
medicine_enzyme_interaction
SELECT name FROM enzyme ORDER BY name DESC
What-all are the names of enzymes in a-descending order?
[ "SELECT", "name", "FROM", "enzyme", "ORDER", "BY", "name", "DESC" ]
[ "select", "name", "from", "enzyme", "order", "by", "name", "desc" ]
[ "What-all", "are", "the", "names", "of", "enzymes", "in", "a-descending", "order?" ]
medicine_enzyme_interaction
SELECT name , LOCATION FROM enzyme
Are Listing the names and the locations that the enzymes might can make an effect.
[ "SELECT", "name", ",", "LOCATION", "FROM", "enzyme" ]
[ "select", "name", ",", "location", "from", "enzyme" ]
[ "Are", "Listing", "the", "names", "and", "the", "locations", "that", "the", "enzymes", "might", "can", "make", "an", "effect." ]
medicine_enzyme_interaction
SELECT name , LOCATION FROM enzyme
What-all are the names and locations of all enzymes listed?
[ "SELECT", "name", ",", "LOCATION", "FROM", "enzyme" ]
[ "select", "name", ",", "location", "from", "enzyme" ]
[ "What-all", "are", "the", "names", "and", "locations", "of", "all", "enzymes", "listed?" ]
medicine_enzyme_interaction
SELECT max(OMIM) FROM enzyme
What-all is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?
[ "SELECT", "max", "(", "OMIM", ")", "FROM", "enzyme" ]
[ "select", "max", "(", "omim", ")", "from", "enzyme" ]
[ "What-all", "is", "the", "maximum", "Online", "Mendelian", "Inheritance", "in", "Man", "(OMIM)", "value", "of", "the", "enzymes?" ]
medicine_enzyme_interaction
SELECT max(OMIM) FROM enzyme
What-all is the maximum OMIM value in the database?
[ "SELECT", "max", "(", "OMIM", ")", "FROM", "enzyme" ]
[ "select", "max", "(", "omim", ")", "from", "enzyme" ]
[ "What-all", "is", "the", "maximum", "OMIM", "value", "in", "the", "database?" ]
medicine_enzyme_interaction
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
What-all is the product, chromosome and porphyria related to the enzymes is taking effect at the location 'Cytosol'?
[ "SELECT", "product", ",", "chromosome", ",", "porphyria", "FROM", "enzyme", "WHERE", "LOCATION", "=", "'Cytosol", "'" ]
[ "select", "product", ",", "chromosome", ",", "porphyria", "from", "enzyme", "where", "location", "=", "value" ]
[ "What-all", "is", "the", "product,", "chromosome", "and", "porphyria", "related", "to", "the", "enzymes", "is", "taking", "effect", "at", "the", "location", "'Cytosol'?" ]
medicine_enzyme_interaction
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
What-all 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", "=", "value" ]
[ "What-all", "is", "the", "product,", "chromosome,", "and", "porphyria", "of", "the", "enzymes", "located", "at", "'Cytosol'?" ]
medicine_enzyme_interaction
SELECT name FROM enzyme WHERE product != 'Heme'
What-all are the names of enzymes as does not produce 'Heme'?
[ "SELECT", "name", "FROM", "enzyme", "WHERE", "product", "!", "=", "'Heme", "'" ]
[ "select", "name", "from", "enzyme", "where", "product", "!", "=", "value" ]
[ "What-all", "are", "the", "names", "of", "enzymes", "as", "does", "not", "produce", "'Heme'?" ]
medicine_enzyme_interaction
SELECT name FROM enzyme WHERE product != 'Heme'
What-all are the names of enzymes that's product ain't what'sHeme'?
[ "SELECT", "name", "FROM", "enzyme", "WHERE", "product", "!", "=", "'Heme", "'" ]
[ "select", "name", "from", "enzyme", "where", "product", "!", "=", "value" ]
[ "What-all", "are", "the", "names", "of", "enzymes", "that's", "product", "ain't", "what'sHeme'?" ]
medicine_enzyme_interaction
SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'
What-all 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", "=", "value" ]
[ "What-all", "are", "the", "names", "and", "trade", "names", "of", "the", "medicines", "which", "has", "'Yes'", "value", "in", "the", "FDA", "record?" ]
medicine_enzyme_interaction
SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'
What-all 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", "=", "value" ]
[ "What-all", "are", "the", "names", "and", "trade", "names", "of", "the", "medcines", "that", "are", "FDA", "approved?" ]
medicine_enzyme_interaction
SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'
What-all are the names of enzymes in the medicine a-named 'Amisulpride' can serve as an 'inhibitor'?
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[ "What-all", "are", "the", "names", "of", "enzymes", "in", "the", "medicine", "a-named", "'Amisulpride'", "can", "serve", "as", "an", "'inhibitor'?" ]
medicine_enzyme_interaction
SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'
What-all are the names of the enzymes used in the medicine Amisulpride that is acting as inhibitors?
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[ "What-all", "are", "the", "names", "of", "the", "enzymes", "used", "in", "the", "medicine", "", "Amisulpride", "that", "is", "acting", "as", "inhibitors?" ]
medicine_enzyme_interaction
SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2
What-all are the ids and names of the medicine that can interact with two or more enzyme?
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[ "What-all", "are", "the", "ids", "and", "names", "of", "the", "medicine", "that", "can", "interact", "with", "two", "or", "more", "enzyme?" ]
medicine_enzyme_interaction
SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2
For every medicine id, what are the names of the medicines that can interact with more than one enzyme?
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[ "For", "every", "medicine", "id,", "what", "are", "the", "names", "of", "the", "medicines", "that", "can", "interact", "with", "more", "than", "one", "enzyme?" ]
medicine_enzyme_interaction
SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC
What-all are the ids, names and FDA approval status of medicines in a-descending order of the number of enzymes that can interact with.
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[ "What-all", "are", "the", "ids,", "names", "and", "FDA", "approval", "status", "of", "medicines", "in", "a-descending", "order", "of", "the", "number", "of", "enzymes", "that", "can", "interact", "with." ]
medicine_enzyme_interaction
SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC
What-all are the ids, names, and FDA approval status for medicines a-ordered by descending number of possible enzyme interactions?
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[ "What-all", "are", "the", "ids,", "names,", "and", "FDA", "approval", "status", "for", "medicines", "a-ordered", "by", "descending", "number", "of", "possible", "enzyme", "interactions?" ]
medicine_enzyme_interaction
SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
What-all is the imight would and name of the enzyme with most number of medicines that might can interact as 'activator'?
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medicine_enzyme_interaction
SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
What-all is the imight would and name of the enzyme might can interact with the most medicines as an activator?
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[ "What-all", "is", "the", "imight", "would", "and", "name", "of", "the", "enzyme", "might", "can", "interact", "with", "the", "most", "medicines", "as", "an", "activator?" ]
medicine_enzyme_interaction
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
What-all is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
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[ "What-all", "is", "the", "interaction", "type", "of", "the", "enzyme", "named", "'ALA", "synthase'", "and", "the", "medicine", "named", "'Aripiprazole'?" ]
medicine_enzyme_interaction
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
What-all is the type of the enzyme interaction named 'ALA synthase' and the medicine named 'Aripiprazole'?
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[ "What-all", "is", "the", "type", "of", "the", "enzyme", "interaction", "named", "'ALA", "synthase'", "and", "the", "medicine", "named", "'Aripiprazole'?" ]
medicine_enzyme_interaction
SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1
What-all is the most common interaction type between enzymes and medicine? And how many is it?
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[ "What-all", "is", "the", "most", "common", "interaction", "type", "between", "enzymes", "and", "medicine?", "And", "how", "many", "is", "it?" ]
medicine_enzyme_interaction
SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1
What-all are the most common types of interactions between enzymes and medicine, and how many types are there?
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[ "What-all", "are", "the", "most", "common", "types", "of", "interactions", "between", "enzymes", "and", "medicine,", "and", "how", "many", "types", "are", "there?" ]
medicine_enzyme_interaction
SELECT count(*) FROM medicine WHERE FDA_approved = 'No'
It is the FDA approval status ' No ' that how many medicines have ?
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medicine_enzyme_interaction
SELECT count(*) FROM medicine WHERE FDA_approved = 'No'
How many medicines ain't approved by the FDA?
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[ "How", "many", "medicines", "ain't", "approved", "by", "the", "FDA?" ]
medicine_enzyme_interaction
SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );
How many enzymes do ain't no interactions?
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[ "How", "many", "enzymes", "do", "ain't", "no", "interactions?" ]
medicine_enzyme_interaction
SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );
What-all is the count of enzymes without any interactions?
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[ "What-all", "is", "the", "count", "of", "enzymes", "without", "any", "interactions?" ]
medicine_enzyme_interaction
SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3
What-all is the imight would and trade name of the medicines might can interact with at least 3 enzyme?
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[ "What-all", "is", "the", "imight", "would", "and", "trade", "name", "of", "the", "medicines", "might", "can", "interact", "with", "at", "least", "3", "enzyme?" ]
medicine_enzyme_interaction
SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3
What-all are the ids and trade names of the can interact at least 3 enzymes medicine?
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[ "What-all", "are", "the", "ids", "and", "trade", "names", "of", "the", "can", "interact", "at", "least", "3", "enzymes", "medicine?" ]
medicine_enzyme_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'
What-all are the distinct name, location and products of the has any 'inhibitor' interaction enzymes?
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[ "What-all", "are", "the", "distinct", "name,", "location", "and", "products", "of", "the", "has", "any", "'inhibitor'", "interaction", "enzymes?" ]
medicine_enzyme_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'
What-all are the different names, locations, and products of the enzymes that are capable inhibitor interactions?
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[ "What-all", "are", "the", "different", "names,", "locations,", "and", "products", "of", "the", "enzymes", "that", "are", "capable", "inhibitor", "interactions?" ]
medicine_enzyme_interaction
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'
List the medicine name and trade name might can both interact as 'inhibitor' and 'activitor' with enzymes.
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[ "List", "the", "medicine", "name", "and", "trade", "name", "might", "can", "both", "interact", "as", "'inhibitor'", "and", "'activitor'", "with", "enzymes." ]
medicine_enzyme_interaction
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'
What-all are the medicines and trades names might can interact as an and activitor enzymes inhibitor?
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[ "What-all", "are", "the", "medicines", "and", "trades", "names", "might", "can", "interact", "as", "an", "and", "activitor", "enzymes", "inhibitor?" ]
medicine_enzyme_interaction
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'
Are Showing the medicine names and trade names cannot interact with no enzyme with product 'Heme'.
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[ "Are", "Showing", "the", "medicine", "names", "and", "trade", "names", "cannot", "interact", "with", "no", "enzyme", "with", "product", "'Heme'." ]
medicine_enzyme_interaction
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-all are the medicines and trades names might cannot interact with no enzyme with the products 'Heme'?
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medicine_enzyme_interaction
SELECT count(DISTINCT FDA_approved) FROM medicine
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" ]
[ "How", "many", "distinct", "FDA", "approval", "statuses", "are", "there", "for", "the", "medicines?" ]
medicine_enzyme_interaction
SELECT count(DISTINCT FDA_approved) FROM medicine
How many different FDA approval statuses are existing for medicines?
[ "SELECT", "count", "(", "DISTINCT", "FDA_approved", ")", "FROM", "medicine" ]
[ "select", "count", "(", "distinct", "fda_approved", ")", "from", "medicine" ]
[ "How", "many", "different", "FDA", "approval", "statuses", "are", "existing", "for", "medicines?" ]
medicine_enzyme_interaction
SELECT name FROM enzyme WHERE name LIKE "%ALA%"
Which enzyme have the substring "ALA names"?
[ "SELECT", "name", "FROM", "enzyme", "WHERE", "name", "LIKE", "``", "%", "ALA", "%", "''" ]
[ "select", "name", "from", "enzyme", "where", "name", "like", "value" ]
[ "Which", "enzyme", "have", "the", "substring", "\"ALA", "names\"?" ]
medicine_enzyme_interaction
SELECT name FROM enzyme WHERE name LIKE "%ALA%"
What-all are the names of enzymes include the string 'ALA'?
[ "SELECT", "name", "FROM", "enzyme", "WHERE", "name", "LIKE", "``", "%", "ALA", "%", "''" ]
[ "select", "name", "from", "enzyme", "where", "name", "like", "value" ]
[ "What-all", "are", "the", "names", "of", "enzymes", "include", "the", "string", "'ALA'?" ]
medicine_enzyme_interaction
SELECT trade_name , count(*) FROM medicine GROUP BY trade_name
are finding the number of medicines offered by each trade.
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[ "are", "finding", "the", "number", "of", "medicines", "offered", "by", "each", "trade." ]
medicine_enzyme_interaction
SELECT trade_name , count(*) FROM medicine GROUP BY trade_name
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" ]
[ "How", "many", "medicines", "are", "offered", "by", "each", "trade", "name?" ]
university_basketball
SELECT school , nickname FROM university ORDER BY founded
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" ]
[ "List", "all", "schools", "and", "their", "nicknames", "in", "the", "order", "of", "founded", "year." ]
university_basketball
SELECT school , nickname FROM university ORDER BY founded
What-all are the different schools and theirn nicknames, ordered by theirn founding years?
[ "SELECT", "school", ",", "nickname", "FROM", "university", "ORDER", "BY", "founded" ]
[ "select", "school", ",", "nickname", "from", "university", "order", "by", "founded" ]
[ "What-all", "are", "the", "different", "schools", "and", "theirn", "nicknames,", "ordered", "by", "theirn", "founding", "years?" ]
university_basketball
SELECT school , LOCATION FROM university WHERE affiliation = 'Public'
Are Listing all public schools and theirn locations.
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[ "select", "school", ",", "location", "from", "university", "where", "affiliation", "=", "value" ]
[ "Are", "Listing", "all", "public", "schools", "and", "theirn", "locations." ]
university_basketball
SELECT school , LOCATION FROM university WHERE affiliation = 'Public'
What-all are the public schools and what-all are theirn locations?
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[ "What-all", "are", "the", "public", "schools", "and", "what-all", "are", "theirn", "locations?" ]
university_basketball
SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
When had been 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", "value" ]
[ "When", "had", "been", "the", "school", "with", "the", "largest", "enrollment", "founded?" ]
university_basketball
SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
Are Returning the founded year for the school with the largest enrollment.
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[ "select", "founded", "from", "university", "order", "by", "enrollment", "desc", "limit", "value" ]
[ "Are", "Returning", "the", "founded", "year", "for", "the", "school", "with", "the", "largest", "enrollment." ]
university_basketball
SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1
Are Finding the founded year of the newest non public schools.
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[ "Are", "Finding", "the", "founded", "year", "of", "the", "newest", "non", "public", "schools." ]
university_basketball
SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1
What-all is the founded year of the non public school that was founded most recently?
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[ "select", "founded", "from", "university", "where", "affiliation", "!", "=", "value", "order", "by", "founded", "desc", "limit", "value" ]
[ "What-all", "is", "the", "founded", "year", "of", "the", "non", "public", "school", "that", "was", "founded", "most", "recently?" ]
university_basketball
SELECT count(DISTINCT school_id) FROM basketball_match
How many schools are in the basketball match?
[ "SELECT", "count", "(", "DISTINCT", "school_id", ")", "FROM", "basketball_match" ]
[ "select", "count", "(", "distinct", "school_id", ")", "from", "basketball_match" ]
[ "How", "many", "schools", "are", "in", "the", "basketball", "match?" ]
university_basketball
SELECT count(DISTINCT school_id) FROM basketball_match
Are Counting the number of schools that had basketball matches.
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[ "select", "count", "(", "distinct", "school_id", ")", "from", "basketball_match" ]
[ "Are", "Counting", "the", "number", "of", "schools", "that", "had", "basketball", "matches." ]
university_basketball
SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
What-all 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", "value" ]
[ "What-all", "is", "the", "highest", "acc", "percent", "score", "in", "the", "competition?" ]
university_basketball
SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
Are Returning the highest acc percent across all basketballs 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", "value" ]
[ "Are", "Returning", "the", "highest", "acc", "percent", "across", "all", "basketballs", "matches." ]
university_basketball
SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1
What-all is the primary conference of the school that has the lowest acc percent score in the competition?
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[ "What-all", "is", "the", "primary", "conference", "of", "the", "school", "that", "has", "the", "lowest", "acc", "percent", "score", "in", "the", "competition?" ]
university_basketball
SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1
Return the primary conference of the school with the most lowest acc percentage score.
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[ "Return", "the", "primary", "conference", "of", "the", "school", "with", "the", "most", "lowest", "acc", "percentage", "score." ]
university_basketball
SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1
What-all is the team name and are accing regular season score of the school that was founded for the longest time?
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university_basketball
SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1
Return the name of the team and the acc during the regular season for the school that have been founded the earliest.
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university_basketball
SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'
Are Finding the location and all games score of the school that has Clemson as its team name.
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[ "Are", "Finding", "the", "location", "and", "all", "games", "score", "of", "the", "school", "that", "has", "Clemson", "as", "its", "team", "name." ]
university_basketball
SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'
What-all are the all games score and location of the school called Clemson?
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university_basketball
SELECT avg(enrollment) FROM university WHERE founded < 1850
What-all are the average enrollment size of the universities that are a-founded before 1850?
[ "SELECT", "avg", "(", "enrollment", ")", "FROM", "university", "WHERE", "founded", "<", "1850" ]
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[ "What-all", "are", "the", "average", "enrollment", "size", "of", "the", "universities", "that", "are", "a-founded", "before", "1850?" ]
university_basketball
SELECT avg(enrollment) FROM university WHERE founded < 1850
Are Returning the average enrollment of universities founded before 1850.
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[ "select", "avg", "(", "enrollment", ")", "from", "university", "where", "founded", "<", "value" ]
[ "Are", "Returning", "the", "average", "enrollment", "of", "universities", "founded", "before", "1850." ]
university_basketball
SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1
Are Showing the and primary_conference the oldest college enrollment.
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[ "Are", "Showing", "the", "and", "primary_conference", "the", "oldest", "college", "enrollment." ]
university_basketball
SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1
What-all are the enrollment and primary conference for the university which have been founded it the most earliest?
[ "SELECT", "enrollment", ",", "primary_conference", "FROM", "university", "ORDER", "BY", "founded", "LIMIT", "1" ]
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university_basketball
SELECT sum(enrollment) , min(enrollment) FROM university
What-all is the total and minimum enrollment of all schools?
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