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debate | SELECT DISTINCT Venue FROM debate | Show the distinct venues of debates | [
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debate | SELECT T3.Name , T2.Date , T2.Venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_ID | Show the names of people, and dates and venues of debates they are on the affirmative side. | [
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debate | SELECT T3.Name , T2.Date , T2.Venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Negative = T3.People_ID ORDER BY T3.Name ASC | Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name. | [
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debate | SELECT T3.Name FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_ID WHERE T2.Num_of_Audience > 200 | Show the names of people that are on affirmative side of debates with number of audience bigger than 200. | [
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debate | SELECT T2.Name , COUNT(*) FROM debate_people AS T1 JOIN people AS T2 ON T1.Affirmative = T2.People_ID GROUP BY T2.Name | Show the names of people and the number of times they have been on the affirmative side of debates. | [
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debate | SELECT T2.Name FROM debate_people AS T1 JOIN people AS T2 ON T1.Negative = T2.People_ID GROUP BY T2.Name HAVING COUNT(*) >= 2 | Show the names of people who have been on the negative side of debates at least twice. | [
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debate | SELECT Name FROM people WHERE People_id NOT IN (SELECT Affirmative FROM debate_people) | List the names of people that have not been on the affirmative side of debates. | [
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insurance_and_eClaims | SELECT customer_details FROM customers ORDER BY customer_details | List the names of all the customers in alphabetical order. | [
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insurance_and_eClaims | SELECT customer_details FROM customers ORDER BY customer_details | Sort the customer names in alphabetical order. | [
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insurance_and_eClaims | SELECT policy_type_code FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t2.customer_details = "Dayana Robel" | Find all the policy type codes associated with the customer "Dayana Robel" | [
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insurance_and_eClaims | SELECT policy_type_code FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t2.customer_details = "Dayana Robel" | What are the type codes of the policies used by the customer "Dayana Robel"? | [
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insurance_and_eClaims | SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 | Which type of policy is most frequently used? Give me the policy type code. | [
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insurance_and_eClaims | SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 | Find the type code of the most frequently used policy. | [
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insurance_and_eClaims | SELECT policy_type_code FROM policies GROUP BY policy_type_code HAVING count(*) > 2 | Find all the policy types that are used by more than 2 customers. | [
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insurance_and_eClaims | SELECT policy_type_code FROM policies GROUP BY policy_type_code HAVING count(*) > 2 | Which types of policy are chosen by more than 2 customers? Give me the policy type codes. | [
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insurance_and_eClaims | SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers | Find the total and average amount paid in claim headers. | [
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insurance_and_eClaims | SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers | What are the total amount and average amount paid in claim headers? | [
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insurance_and_eClaims | SELECT sum(t1.amount_claimed) FROM claim_headers AS t1 JOIN claims_documents AS t2 ON t1.claim_header_id = t2.claim_id WHERE t2.created_date = (SELECT created_date FROM claims_documents ORDER BY created_date LIMIT 1) | Find the total amount claimed in the most recently created document. | [
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insurance_and_eClaims | SELECT sum(t1.amount_claimed) FROM claim_headers AS t1 JOIN claims_documents AS t2 ON t1.claim_header_id = t2.claim_id WHERE t2.created_date = (SELECT created_date FROM claims_documents ORDER BY created_date LIMIT 1) | How much amount in total were claimed in the most recently created document? | [
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insurance_and_eClaims | SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_claimed = (SELECT max(amount_claimed) FROM claim_headers) | What is the name of the customer who has made the largest amount of claim in a single claim? | [
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insurance_and_eClaims | SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_claimed = (SELECT max(amount_claimed) FROM claim_headers) | Which customer made the largest amount of claim in a single claim? Return the customer details. | [
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insurance_and_eClaims | SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_piad = (SELECT min(amount_piad) FROM claim_headers) | What is the name of the customer who has made the minimum amount of payment in one claim? | [
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insurance_and_eClaims | SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_piad = (SELECT min(amount_piad) FROM claim_headers) | Which customer made the smallest amount of claim in one claim? Return the customer details. | [
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insurance_and_eClaims | SELECT customer_details FROM customers EXCEPT SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id | Find the names of customers who have no policies associated. | [
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insurance_and_eClaims | SELECT customer_details FROM customers EXCEPT SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id | What are the names of customers who do not have any policies? | [
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insurance_and_eClaims | SELECT count(*) FROM claims_processing_stages | How many claim processing stages are there in total? | [
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insurance_and_eClaims | SELECT t2.claim_status_name FROM claims_processing AS t1 JOIN claims_processing_stages AS t2 ON t1.claim_stage_id = t2.claim_stage_id GROUP BY t1.claim_stage_id ORDER BY count(*) DESC LIMIT 1 | What is the name of the claim processing stage that most of the claims are on? | [
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insurance_and_eClaims | SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%" | Find the names of customers whose name contains "Diana". | [
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insurance_and_eClaims | SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy" | Find the names of the customers who have an deputy policy. | [
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insurance_and_eClaims | SELECT customer_details FROM customers UNION SELECT staff_details FROM staff | Find the names of all the customers and staff members. | [
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insurance_and_eClaims | SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code | Find the number of records of each policy type and its type code. | [
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customers_and_invoices | SELECT count(DISTINCT customer_id) FROM Accounts | How many customers have opened an account? | [
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customers_and_invoices | SELECT T1.account_name , T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Meaghan" AND T2.customer_last_name = "Keeling" | Show the account name and other account detail for all accounts by the customer with first name Meaghan and last name Keeling. | [
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customers_and_invoices | SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337" | How many transaction does account with name 337 have? | [
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